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ALSN
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{'date': '2022-07-11', 'ticker': 'ALSN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.0, 'high': 37.869998931884766, 'open': 37.5099983215332, 'close': 37.06999969482422, 'ema_50': 38.50851619776831, 'rsi_14': 46.51162899282631, 'target': 37.81999969482422, 'volume': 621200.0, 'ema_200': 38.372315780441866, 'adj_close': 36.04426574707031, 'rsi_lag_1': 50.264556405060475, 'rsi_lag_2': 40.211628891747786, 'rsi_lag_3': 37.56906496532631, 'rsi_lag_4': 42.36344390845922, 'rsi_lag_5': 40.08439005330512, 'macd_lag_1': -0.3405520277641756, 'macd_lag_2': -0.3431361401447006, 'macd_lag_3': -0.3485705777449297, 'macd_lag_4': -0.2730551315041012, 'macd_lag_5': -0.22157093159892582, 'macd_12_26_9': -0.40005958457152246, 'macds_12_26_9': -0.28214049965331833}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 37.81999969482422, '2022-07-13': 37.84999847412109, '2022-07-14': 37.08000183105469, '2022-07-15': 37.380001068115234, '2022-07-18': 37.29999923706055, '2022-07-19': 38.58000183105469, '2022-07-20': 38.84999847412109, '2022-07-21': 39.52999877929688, '2022-07-22': 39.02999877929688, '2022-07-25': 39.310001373291016}, '1_month_later': {'2022-08-11': 38.79999923706055}, '3_months_later': {'2022-10-11': 35.75}, '6_months_later': {'2023-01-11': 43.18999862670898}, '12_months_later': {'2023-07-11': 57.68000030517578}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMT
|
{'date': '2022-07-11', 'ticker': 'AMT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/2-hot-stocks-that-can-live-up-to-their-lofty-valuations', 'news_author': None, 'news_article': 'In a declining market, oftentimes the highest quality companies still command high multiples due to their competitive position in their respective markets. When a company has some sort of competitive advantage, such as being the first mover in a market with high barriers to entry, it will often retain a premium multiple.\nHere are two such companies that are either part of a duopoly or have monopolies on certain important products. These companies may cheapen at times but rarely become "cheap." Let\'s find out a bit more about these two hot stocks that live up to their lofty valuations.\nImage source: Getty Images.\n1. American Tower\nAmerican Tower (NYSE: AMT) is a cell phone real estate investment trust (REIT) that operates in a duopoly with Crown Castle International. Cell phone tower REITs have an incredibly stable business model and are benefiting from a long-term trend of increasing usage of mobile data. The company builds cell phone towers and then leases out capacity to wireless service providers, TV and radio broadcasters, as well as government tenants.\nAmerican Tower\'s business is characterized by substantial barriers to entry. While it has other smaller competitors, the two heavyweights dominate the industry and own all the best tower locations. American Tower owns over 200,000 towers worldwide and is truly a global player.\nGlobal data usage has been climbing as cell phones become more data-driven. According to one study, the typical user consumed 15 gigabytes of data monthly at the end of 2021. This is forecasted to increase to 52 gigabytes monthly by the end of 2027, which works out to be a cumulative average growth rate of 24%.\nAmerican Tower is guiding for 2022 adjusted funds from operations (AFFO) to come in around $9.72 per share. REITs generally use funds from operations as a way to describe earnings since depreciation and amortization are such big factors in earnings per share. Depreciation and amortization are non-cash charges, which means this is more of an accounting issue than a cash flow issue. At current levels, the stock is trading at 26 times 2022 guided AFFO per share, which is pricey for a REIT but worth it for a market leader. One other thing worth noting: American Tower has hiked its dividend every single quarter since 2012.\n2. CME Group\nCME Group (NASDAQ: CME) is one of the biggest derivatives exchanges in the world. Its portfolio includes the Chicago Mercantile Exchange, the Chicago Board of Trade, the New York Mercantile Exchange, and several other platforms. CME Group is best known for its dominance in interest rate derivatives. Companies generally use interest rate derivatives to hedge cash flow streams and to lock in borrowing costs or lending returns. Companies often trade in the foreign exchange market and use derivatives to hedge costs and revenues in other countries.\nCME Group struggled during the COVID-19 pandemic as the Federal Reserve cut interest rates to the floor in order to stimulate the economy. Since interest rates generally can\'t go below zero, commercial traders won\'t bother to hedge against that risk. This caused trading volumes in its flagship interest rate products to decline. That said, the Fed is now aggressively raising interest rates to fight inflation, which will stimulate more trading volume. In the first quarter of 2022, average daily volumes in interest rate products rose 21% on a year-over-year basis.\nCME Group is trading at 26.6 times expected 2022 earnings per share. Given how multiples have contracted since the beginning of the year, this may appear to be a pricey multiple, but CME Group is one of the few companies that will benefit from rising interest rates. Given CME\'s franchise value and the massive barriers to entry for new exchanges, it warrants a premium multiple.\n10 stocks we like better than American Tower\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and American Tower wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nBrent Nyitray, CFA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends American Tower and Crown Castle International. The Motley Fool recommends CME Group. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'American Tower American Tower (NYSE: AMT) is a cell phone real estate investment trust (REIT) that operates in a duopoly with Crown Castle International. Cell phone tower REITs have an incredibly stable business model and are benefiting from a long-term trend of increasing usage of mobile data. The company builds cell phone towers and then leases out capacity to wireless service providers, TV and radio broadcasters, as well as government tenants.', 'news_luhn_summary': 'American Tower American Tower (NYSE: AMT) is a cell phone real estate investment trust (REIT) that operates in a duopoly with Crown Castle International. CME Group CME Group (NASDAQ: CME) is one of the biggest derivatives exchanges in the world. Companies generally use interest rate derivatives to hedge cash flow streams and to lock in borrowing costs or lending returns.', 'news_article_title': '2 Hot Stocks That Can Live Up to Their Lofty Valuations', 'news_lexrank_summary': 'American Tower American Tower (NYSE: AMT) is a cell phone real estate investment trust (REIT) that operates in a duopoly with Crown Castle International. CME Group is best known for its dominance in interest rate derivatives. In the first quarter of 2022, average daily volumes in interest rate products rose 21% on a year-over-year basis.', 'news_textrank_summary': 'American Tower American Tower (NYSE: AMT) is a cell phone real estate investment trust (REIT) that operates in a duopoly with Crown Castle International. CME Group CME Group (NASDAQ: CME) is one of the biggest derivatives exchanges in the world. Given how multiples have contracted since the beginning of the year, this may appear to be a pricey multiple, but CME Group is one of the few companies that will benefit from rising interest rates.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 252.4900054931641, 'high': 258.4599914550781, 'open': 255.0, 'close': 257.989990234375, 'ema_50': 251.5678815737508, 'rsi_14': 71.55273369499855, 'target': 255.4900054931641, 'volume': 1299500.0, 'ema_200': 253.9147941760023, 'adj_close': 245.86070251464844, 'rsi_lag_1': 70.98528448268183, 'rsi_lag_2': 64.4294002249191, 'rsi_lag_3': 69.60687820112615, 'rsi_lag_4': 62.47061384414453, 'rsi_lag_5': 55.10994412846671, 'macd_lag_1': 1.9600840919231928, 'macd_lag_2': 2.1220435028976112, 'macd_lag_3': 2.0769512502065766, 'macd_lag_4': 1.8822759833313398, 'macd_lag_5': 1.8395854984268851, 'macd_12_26_9': 2.0485761317677316, 'macds_12_26_9': 1.7216524355563874}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 255.4900054931641, '2022-07-13': 255.9199981689453, '2022-07-14': 256.510009765625, '2022-07-15': 257.20001220703125, '2022-07-18': 249.25, '2022-07-19': 257.1600036621094, '2022-07-20': 249.7400054931641, '2022-07-21': 255.3999938964844, '2022-07-22': 259.6000061035156, '2022-07-25': 257.3399963378906}, '1_month_later': {'2022-08-11': 273.95001220703125}, '3_months_later': {'2022-10-11': 189.2700042724609}, '6_months_later': {'2023-01-11': 228.1199951171875}, '12_months_later': {'2023-07-11': 194.6000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMTB
|
{'date': '2022-07-11', 'ticker': 'AMTB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.040000915527344, 'high': 28.3700008392334, 'open': 28.209999084472656, 'close': 28.1299991607666, 'ema_50': 28.46822269462473, 'rsi_14': 66.37553930469252, 'target': 28.71999931335449, 'volume': 40700.0, 'ema_200': 28.517576234944354, 'adj_close': 27.46428108215332, 'rsi_lag_1': 73.00888690089369, 'rsi_lag_2': 64.20232741090385, 'rsi_lag_3': 62.903215882679525, 'rsi_lag_4': 72.30770246517625, 'rsi_lag_5': 59.79382254161442, 'macd_lag_1': -0.04574704994748302, 'macd_lag_2': -0.06679149236732229, 'macd_lag_3': -0.09471655684556168, 'macd_lag_4': -0.1055632631068768, 'macd_lag_5': -0.1382358529526968, 'macd_12_26_9': -0.04150157777669605, 'macds_12_26_9': -0.10157731251476414}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 28.71999931335449, '2022-07-13': 28.65999984741211, '2022-07-14': 27.93000030517578, '2022-07-15': 28.940000534057617, '2022-07-18': 29.0, '2022-07-19': 29.479999542236328, '2022-07-20': 29.89999961853028, '2022-07-21': 26.959999084472656, '2022-07-22': 26.780000686645508, '2022-07-25': 27.049999237060547}, '1_month_later': {'2022-08-11': 28.709999084472656}, '3_months_later': {'2022-10-11': 25.21999931335449}, '6_months_later': {'2023-01-11': 27.36000061035156}, '12_months_later': {'2023-07-11': 18.190000534057617}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMTI
|
{'date': '2022-07-11', 'ticker': 'AMTI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.200000047683716, 'high': 2.4600000381469727, 'open': 2.3399999141693115, 'close': 2.359999895095825, 'ema_50': 3.7182855663097496, 'rsi_14': 40.36363087803769, 'target': 2.5, 'volume': 541500.0, 'ema_200': 11.494759230486364, 'adj_close': 2.359999895095825, 'rsi_lag_1': 42.657340442098125, 'rsi_lag_2': 39.655172697287284, 'rsi_lag_3': 38.33333161142124, 'rsi_lag_4': 41.818180241860496, 'rsi_lag_5': 33.81818424571644, 'macd_lag_1': -0.31615378911086855, 'macd_lag_2': -0.2897459213997329, 'macd_lag_3': -0.24469812727971263, 'macd_lag_4': -0.18873241971465715, 'macd_lag_5': -0.19600916746252173, 'macd_12_26_9': -0.33164538169826585, 'macds_12_26_9': -0.25751566452142716}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 2.5, '2022-07-13': 2.5799999237060547, '2022-07-14': 2.5299999713897705, '2022-07-15': 2.569999933242798, '2022-07-18': 2.3299999237060547, '2022-07-19': 2.4600000381469727, '2022-07-20': 2.549999952316284, '2022-07-21': 2.3299999237060547, '2022-07-22': 2.180000066757202, '2022-07-25': 2.0799999237060547}, '1_month_later': {'2022-08-11': 1.9600000381469729}, '3_months_later': {'2022-10-11': 1.2599999904632568}, '6_months_later': {'2023-01-11': 0.4900000095367431}, '12_months_later': {'2023-07-11': 0.3409999907016754}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMTX
|
{'date': '2022-07-11', 'ticker': 'AMTX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.820000171661377, 'high': 5.269999980926514, 'open': 5.119999885559082, 'close': 5.010000228881836, 'ema_50': 7.157545412645499, 'rsi_14': 43.07229811159623, 'target': 5.079999923706055, 'volume': 615600.0, 'ema_200': 10.337878694081166, 'adj_close': 5.010000228881836, 'rsi_lag_1': 47.770703345254766, 'rsi_lag_2': 37.57397146736734, 'rsi_lag_3': 25.694447778808538, 'rsi_lag_4': 24.666671011182302, 'rsi_lag_5': 18.686872518204396, 'macd_lag_1': -0.7729403068338616, 'macd_lag_2': -0.8267905874565873, 'macd_lag_3': -0.8600788987827404, 'macd_lag_4': -0.8360929926217029, 'macd_lag_5': -0.8228441704357925, 'macd_12_26_9': -0.741884499430487, 'macds_12_26_9': -0.7823879056544913}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 5.079999923706055, '2022-07-13': 5.300000190734863, '2022-07-14': 5.03000020980835, '2022-07-15': 5.300000190734863, '2022-07-18': 5.179999828338623, '2022-07-19': 5.420000076293945, '2022-07-20': 5.760000228881836, '2022-07-21': 5.570000171661377, '2022-07-22': 5.019999980926514, '2022-07-25': 5.480000019073486}, '1_month_later': {'2022-08-11': 10.65999984741211}, '3_months_later': {'2022-10-11': 6.400000095367432}, '6_months_later': {'2023-01-11': 4.230000019073486}, '12_months_later': {'2023-07-11': 8.050000190734863}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMUB
|
{'date': '2022-07-11', 'ticker': 'AMUB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.84000015258789, 'high': 12.059000015258787, 'open': 11.84000015258789, 'close': 12.059000015258787, 'ema_50': 12.753839533287188, 'rsi_14': 54.142097248564376, 'target': 11.859999656677246, 'volume': 300.0, 'ema_200': 12.476689467247041, 'adj_close': 10.894376754760742, 'rsi_lag_1': 50.85728818854934, 'rsi_lag_2': 43.3618004387211, 'rsi_lag_3': 34.24894891670279, 'rsi_lag_4': 33.83035831675885, 'rsi_lag_5': 30.224939283700778, 'macd_lag_1': -0.3873050423343294, 'macd_lag_2': -0.42227420374140756, 'macd_lag_3': -0.4556744710081091, 'macd_lag_4': -0.44137923629155296, 'macd_lag_5': -0.4369750144978326, 'macd_12_26_9': -0.36035990504693416, 'macds_12_26_9': -0.3979386631479291}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 11.859999656677246, '2022-07-13': 11.949999809265137, '2022-07-14': 11.85200023651123, '2022-07-15': 12.074999809265137, '2022-07-18': 12.34000015258789, '2022-07-19': 12.659000396728516, '2022-07-20': 12.6899995803833, '2022-07-21': 12.57800006866455, '2022-07-22': 12.402999877929688, '2022-07-25': 12.789999961853027}, '1_month_later': {'2022-08-11': 13.696000099182127}, '3_months_later': {'2022-10-11': 13.119000434875488}, '6_months_later': {'2023-01-11': 14.239999771118164}, '12_months_later': {'2023-07-11': 14.678000450134276}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMWD
|
{'date': '2022-07-11', 'ticker': 'AMWD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.4900016784668, 'high': 45.650001525878906, 'open': 44.810001373291016, 'close': 44.90999984741211, 'ema_50': 47.965587178199186, 'rsi_14': 61.072429873025776, 'target': 45.27000045776367, 'volume': 67200.0, 'ema_200': 57.50682457061638, 'adj_close': 44.90999984741211, 'rsi_lag_1': 59.17679715580961, 'rsi_lag_2': 45.299585860866735, 'rsi_lag_3': 45.775723825949726, 'rsi_lag_4': 46.781789012188476, 'rsi_lag_5': 42.14992179957383, 'macd_lag_1': -0.9985618079592484, 'macd_lag_2': -1.0404285664818715, 'macd_lag_3': -1.1164048867301943, 'macd_lag_4': -1.182885199275944, 'macd_lag_5': -1.3421691688434478, 'macd_12_26_9': -0.9886826134275211, 'macds_12_26_9': -1.1722633407530896}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 45.27000045776367, '2022-07-13': 45.77999877929688, '2022-07-14': 45.33000183105469, '2022-07-15': 45.34000015258789, '2022-07-18': 45.54999923706055, '2022-07-19': 47.11000061035156, '2022-07-20': 47.18000030517578, '2022-07-21': 47.880001068115234, '2022-07-22': 48.0, '2022-07-25': 47.91999816894531}, '1_month_later': {'2022-08-11': 51.86000061035156}, '3_months_later': {'2022-10-11': 45.970001220703125}, '6_months_later': {'2023-01-11': 53.18000030517578}, '12_months_later': {'2023-07-11': 74.61000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMX
|
{'date': '2022-07-11', 'ticker': 'AMX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.5, 'high': 19.86000061035156, 'open': 19.59000015258789, 'close': 19.729999542236328, 'ema_50': 20.1656139987465, 'rsi_14': 55.59105509185432, 'target': 19.8700008392334, 'volume': 1125100.0, 'ema_200': 19.254631763230517, 'adj_close': 18.74163818359375, 'rsi_lag_1': 57.2307544234323, 'rsi_lag_2': 52.09582650676167, 'rsi_lag_3': 66.09585596130967, 'rsi_lag_4': 66.99998601279464, 'rsi_lag_5': 68.36731847290369, 'macd_lag_1': -0.08297974261545704, 'macd_lag_2': -0.058171685523852545, 'macd_lag_3': -0.013443376891043357, 'macd_lag_4': -0.01826720905978263, 'macd_lag_5': -0.018049431636512736, 'macd_12_26_9': -0.1006728774332295, 'macds_12_26_9': -0.08678693810218029}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 19.8700008392334, '2022-07-13': 19.09000015258789, '2022-07-14': 18.43000030517578, '2022-07-15': 18.690000534057617, '2022-07-18': 18.780000686645508, '2022-07-19': 18.979999542236328, '2022-07-20': 18.440000534057617, '2022-07-21': 18.51000022888184, '2022-07-22': 18.68000030517578, '2022-07-25': 18.51000022888184}, '1_month_later': {'2022-08-11': 19.21999931335449}, '3_months_later': {'2022-10-11': 16.68000030517578}, '6_months_later': {'2023-01-11': 20.049999237060547}, '12_months_later': {'2023-07-11': 21.989999771118164}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AMZN
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{'date': '2022-07-11', 'ticker': 'AMZN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 110.87000274658205, 'high': 114.3000030517578, 'open': 114.08000183105467, 'close': 111.75, 'ema_50': 118.18298620846483, 'rsi_14': 57.232539101898624, 'target': 109.22000122070312, 'volume': 53487600.0, 'ema_200': 154.43978364277783, 'adj_close': 111.75, 'rsi_lag_1': 66.0540536528002, 'rsi_lag_2': 60.76579647530192, 'rsi_lag_3': 63.790738843538854, 'rsi_lag_4': 61.142603826217844, 'rsi_lag_5': 49.902487547055536, 'macd_lag_1': -0.6770462319096424, 'macd_lag_2': -1.0501357252968688, 'macd_lag_3': -1.5914953431604744, 'macd_lag_4': -2.055681686787679, 'macd_lag_5': -2.533742154411229, 'macd_12_26_9': -0.679360277566758, 'macds_12_26_9': -1.6716585632093948}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 109.22000122070312, '2022-07-13': 110.4000015258789, '2022-07-14': 110.62999725341795, '2022-07-15': 113.5500030517578, '2022-07-18': 113.76000213623048, '2022-07-19': 118.20999908447266, '2022-07-20': 122.7699966430664, '2022-07-21': 124.62999725341795, '2022-07-22': 122.41999816894533, '2022-07-25': 121.13999938964844}, '1_month_later': {'2022-08-11': 140.63999938964844}, '3_months_later': {'2022-10-11': 112.20999908447266}, '6_months_later': {'2023-01-11': 95.08999633789062}, '12_months_later': {'2023-07-11': 128.77999877929688}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ANDE
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{'date': '2022-07-11', 'ticker': 'ANDE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/andersons-ande-exits-from-the-railcar-repair-business', 'news_author': None, 'news_article': 'The Andersons, Inc. ANDE recently completed the divestment of its railcar repair business to leading freight rail services and transportation company Cathcart Rail. The strategic move supports the company’s final exit from the rail segment, enabling it to focus on and invest in its core farming verticals of grain and fertilizer. ANDE entered into this sell agreement on May 3.\n\nAndersons’ railcar repair network aligns well with Cathcart Rail\'s goal of expanding its rail services across a national footprint. Cathcart Rail currently operates the largest railcar services network, comprising 18 repair facilities and more than 75 field services locations, with an additional rail services division.\n\nAndersons will utilize the sale proceeds for reducing debts while enhancing the financial position for investment in future growth scopes. The deal strengthens ANDE’s position as North Americas most agile and innovative agricultural supply chain company. Last August, Andersons sold its railcar leasing business to American Industrial Transport, Inc. (AITX) for cash proceeds of $550 million.\n\nIn May, the company reported first-quarter 2022 results. Anderson witnessed supply tightness in global fertilizer with rising commodity prices on the back of the Ukraine war. ANDE’s agricultural business outlook remains robust, with crop demand expected to stay high into 2023 and beyond.\n\nThe company’s Trade segment includes commodity merchandising and the operation of terminal grain elevator facilities. In the March-end quarter, the segment results were impacted by the decline in corn and soybean basis size due to the extreme run-up in futures prices resulting from the conflict in Ukraine. However, growth in its international supply chain business contributed to the segment’s results. Continued merchandising opportunities and strong elevation margins are expected through the remainder of the year.\n\nAnderson’s Renewables segment produces ethanol and co-products through its five co-owned and fully consolidated ethanol production facilities and purchases and sells ethanol and ethanol co-products. The segment is benefiting from improved margins at all ethanol plants, driving feed and corn oil values.\n\nThe Plant Nutrient segment manufactures and distributes agricultural inputs, primarily fertilizer, to dealers and farmers along with turf care and corncob-based products. The segment gained from higher inventory levels and strong margins in the first quarter, offsetting a volume decrease for most of its agricultural fertilizers, particularly within specialty liquids, low-salt starters and wholesale nutrients. With high grain prices and a tight fertilizer supply, the segment will continue to perform well into the second quarter.\nPrice Performance\nAndersons’ shares have gained 6.6% in the past year against the industry\'s fall of 7.7%.\n\nImage Source: Zacks Investment Research\nZacks Rank & Stocks to Consider\nAndersons currently carries a Zacks Rank #5 (Strong Sell).\n\nSome better-ranked stocks in the basic materials space include American Vanguard Corporation AVD, Cabot Corporation CBT and Allegheny Technologies Inc. ATI.\n\nAmerican Vanguard has a projected earnings growth rate of 72.1% for the current year. The Zacks Consensus Estimate for AVD’s current-year earnings has been revised 17% upward in the past 60 days. You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here.\n\nAmerican Vanguard’s earnings beat the Zacks Consensus Estimate in each of the trailing four quarters, the average surprise being 33.9%. AVD has rallied roughly 36.7% in the past six months. The company flaunts a Zacks Rank #1.\n\nCabot, currently carrying a Zacks Rank #1, has an expected earnings growth rate of 22.5% for the current fiscal year. The Zacks Consensus Estimate for CBT\'s earnings for the current fiscal has been revised 6% upward in the past 60 days.\n\nCabot\'s earnings beat the Zacks Consensus Estimate in each of the trailing four quarters, the average surprise being 16.2%. CBT has gained around 12.9% in the past six months.\n\nAllegheny has a projected earnings growth rate of 1,076.9% for the current year. The Zacks Consensus Estimate for ATI\'s current-year earnings has been revised upward by 40.4% in the past 60 days.\n\nAllegheny\'s earnings beat the Zacks Consensus Estimate in the last four quarters, the average surprise being 128.9%. ATI has gained around 17.5% in the past six months. It currently sports a Zacks Rank #1.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nThe Andersons, Inc. (ANDE): Free Stock Analysis Report\n \nAllegheny Technologies Incorporated (ATI): Free Stock Analysis Report\n \nCabot Corporation (CBT): Free Stock Analysis Report\n \nAmerican Vanguard Corporation (AVD): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Andersons will utilize the sale proceeds for reducing debts while enhancing the financial position for investment in future growth scopes. Last August, Andersons sold its railcar leasing business to American Industrial Transport, Inc. (AITX) for cash proceeds of $550 million. The Andersons, Inc. ANDE recently completed the divestment of its railcar repair business to leading freight rail services and transportation company Cathcart Rail.', 'news_luhn_summary': 'Anderson’s Renewables segment produces ethanol and co-products through its five co-owned and fully consolidated ethanol production facilities and purchases and sells ethanol and ethanol co-products. Image Source: Zacks Investment Research Zacks Rank & Stocks to Consider Andersons currently carries a Zacks Rank #5 (Strong Sell). The Andersons, Inc. ANDE recently completed the divestment of its railcar repair business to leading freight rail services and transportation company Cathcart Rail.', 'news_article_title': 'Andersons (ANDE) Exits From the Railcar Repair Business', 'news_lexrank_summary': 'The Andersons, Inc. ANDE recently completed the divestment of its railcar repair business to leading freight rail services and transportation company Cathcart Rail. Image Source: Zacks Investment Research Zacks Rank & Stocks to Consider Andersons currently carries a Zacks Rank #5 (Strong Sell). ANDE entered into this sell agreement on May 3.', 'news_textrank_summary': 'Image Source: Zacks Investment Research Zacks Rank & Stocks to Consider Andersons currently carries a Zacks Rank #5 (Strong Sell). The Andersons, Inc. ANDE recently completed the divestment of its railcar repair business to leading freight rail services and transportation company Cathcart Rail. ANDE entered into this sell agreement on May 3.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.3700008392334, 'high': 31.100000381469727, 'open': 30.459999084472656, 'close': 30.600000381469727, 'ema_50': 37.030249419739256, 'rsi_14': 32.381982475413295, 'target': 30.420000076293945, 'volume': 185500.0, 'ema_200': 38.341554575666464, 'adj_close': 29.89696502685547, 'rsi_lag_1': 28.041810118271997, 'rsi_lag_2': 25.83186426750332, 'rsi_lag_3': 23.624863247802978, 'rsi_lag_4': 29.120867124605326, 'rsi_lag_5': 29.80318003742481, 'macd_lag_1': -2.0494381908679955, 'macd_lag_2': -2.0467370285384945, 'macd_lag_3': -2.048136840104476, 'macd_lag_4': -1.9620960948105264, 'macd_lag_5': -1.8980644628294172, 'macd_12_26_9': -2.0409625857531424, 'macds_12_26_9': -2.0033619667934266}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 30.420000076293945, '2022-07-13': 30.71999931335449, '2022-07-14': 29.71999931335449, '2022-07-15': 30.940000534057617, '2022-07-18': 31.01000022888184, '2022-07-19': 31.979999542236328, '2022-07-20': 32.650001525878906, '2022-07-21': 32.2400016784668, '2022-07-22': 32.0, '2022-07-25': 32.79999923706055}, '1_month_later': {'2022-08-11': 38.560001373291016}, '3_months_later': {'2022-10-11': 32.91999816894531}, '6_months_later': {'2023-01-11': 34.83000183105469}, '12_months_later': {'2023-07-11': 46.970001220703125}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ANET
|
{'date': '2022-07-11', 'ticker': 'ANET', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 101.4800033569336, 'high': 103.1500015258789, 'open': 102.12000274658205, 'close': 101.6999969482422, 'ema_50': 103.11267234097019, 'rsi_14': 69.38039739918953, 'target': 98.26000213623048, 'volume': 1156000.0, 'ema_200': 110.80093461141158, 'adj_close': 101.6999969482422, 'rsi_lag_1': 73.31357268936483, 'rsi_lag_2': 66.02112321337185, 'rsi_lag_3': 62.88460951585035, 'rsi_lag_4': 58.5726459790224, 'rsi_lag_5': 46.74507542076214, 'macd_lag_1': -0.8423675515125097, 'macd_lag_2': -1.438031161603675, 'macd_lag_3': -2.072525113150135, 'macd_lag_4': -2.5121511693545813, 'macd_lag_5': -2.7842248445518436, 'macd_12_26_9': -0.46978385484041496, 'macds_12_26_9': -1.9209164032247366}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 98.26000213623048, '2022-07-13': 98.3000030517578, '2022-07-14': 99.0999984741211, '2022-07-15': 101.66999816894533, '2022-07-18': 100.58000183105467, '2022-07-19': 104.75, '2022-07-20': 104.88999938964844, '2022-07-21': 105.9499969482422, '2022-07-22': 102.37999725341795, '2022-07-25': 103.45999908447266}, '1_month_later': {'2022-08-11': 126.02999877929688}, '3_months_later': {'2022-10-11': 107.0500030517578}, '6_months_later': {'2023-01-11': 116.33000183105467}, '12_months_later': {'2023-07-11': 160.1699981689453}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMSWA
|
{'date': '2022-07-11', 'ticker': 'AMSWA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.799999237060547, 'high': 17.270000457763672, 'open': 17.06999969482422, 'close': 17.200000762939453, 'ema_50': 17.110210404003723, 'rsi_14': 68.1347240508531, 'target': 16.030000686645508, 'volume': 70100.0, 'ema_200': 20.014882230647164, 'adj_close': 16.38926887512207, 'rsi_lag_1': 70.2179227075674, 'rsi_lag_2': 63.18081747546834, 'rsi_lag_3': 63.96587757751297, 'rsi_lag_4': 59.71074518581864, 'rsi_lag_5': 50.542291002611535, 'macd_lag_1': 0.037338303404414575, 'macd_lag_2': -0.00019321458682952652, 'macd_lag_3': -0.07253060930641908, 'macd_lag_4': -0.135295277972876, 'macd_lag_5': -0.2022380194490765, 'macd_12_26_9': 0.07509280860047696, 'macds_12_26_9': -0.08217249598993805}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 16.030000686645508, '2022-07-13': 15.90999984741211, '2022-07-14': 15.729999542236328, '2022-07-15': 16.420000076293945, '2022-07-18': 16.270000457763672, '2022-07-19': 16.65999984741211, '2022-07-20': 17.290000915527344, '2022-07-21': 17.579999923706055, '2022-07-22': 17.229999542236328, '2022-07-25': 17.170000076293945}, '1_month_later': {'2022-08-11': 18.40999984741211}, '3_months_later': {'2022-10-11': 15.149999618530272}, '6_months_later': {'2023-01-11': 14.5}, '12_months_later': {'2023-07-11': 10.34000015258789}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ANF
|
{'date': '2022-07-11', 'ticker': 'ANF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.549999237060547, 'high': 17.389999389648438, 'open': 17.059999465942383, 'close': 16.59000015258789, 'ema_50': 22.689504512461053, 'rsi_14': 34.59038130609504, 'target': 16.920000076293945, 'volume': 1411900.0, 'ema_200': 30.465804741764586, 'adj_close': 16.59000015258789, 'rsi_lag_1': 43.60613785789618, 'rsi_lag_2': 38.228697513967795, 'rsi_lag_3': 36.44751810386228, 'rsi_lag_4': 39.59899785315709, 'rsi_lag_5': 37.806455550655244, 'macd_lag_1': -1.790408036452277, 'macd_lag_2': -1.8613662898983137, 'macd_lag_3': -1.9716968701563609, 'macd_lag_4': -2.0054395369656888, 'macd_lag_5': -2.089592020077788, 'macd_12_26_9': -1.7638690571055662, 'macds_12_26_9': -2.009801744181902}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 16.920000076293945, '2022-07-13': 16.8799991607666, '2022-07-14': 16.510000228881836, '2022-07-15': 16.709999084472656, '2022-07-18': 16.860000610351562, '2022-07-19': 17.889999389648438, '2022-07-20': 18.51000022888184, '2022-07-21': 18.670000076293945, '2022-07-22': 18.56999969482422, '2022-07-25': 18.309999465942383}, '1_month_later': {'2022-08-11': 19.31999969482422}, '3_months_later': {'2022-10-11': 15.4399995803833}, '6_months_later': {'2023-01-11': 27.229999542236328}, '12_months_later': {'2023-07-11': 35.79999923706055}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ANGL
|
{'date': '2022-07-11', 'ticker': 'ANGL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.299999237060547, 'high': 27.459999084472656, 'open': 27.420000076293945, 'close': 27.299999237060547, 'ema_50': 27.985497448806886, 'rsi_14': 54.54545454545455, 'target': 27.350000381469727, 'volume': 1298300.0, 'ema_200': 30.035895953991105, 'adj_close': 25.22266387939453, 'rsi_lag_1': 61.90478593284516, 'rsi_lag_2': 52.70272244030736, 'rsi_lag_3': 52.48870262264862, 'rsi_lag_4': 61.13359948725467, 'rsi_lag_5': 44.41174523639352, 'macd_lag_1': -0.2511547682376474, 'macd_lag_2': -0.2878251114768915, 'macd_lag_3': -0.33247966728943723, 'macd_lag_4': -0.3378025860168883, 'macd_lag_5': -0.34884672565954133, 'macd_12_26_9': -0.2299327353130991, 'macds_12_26_9': -0.3029442584886655}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 27.350000381469727, '2022-07-13': 27.270000457763672, '2022-07-14': 27.21999931335449, '2022-07-15': 27.43000030517578, '2022-07-18': 27.229999542236328, '2022-07-19': 27.61000061035156, '2022-07-20': 27.670000076293945, '2022-07-21': 27.89999961853028, '2022-07-22': 27.799999237060547, '2022-07-25': 27.809999465942383}, '1_month_later': {'2022-08-11': 28.32999992370605}, '3_months_later': {'2022-10-11': 26.1299991607666}, '6_months_later': {'2023-01-11': 27.93000030517578}, '12_months_later': {'2023-07-11': 27.57999992370605}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ANIP
|
{'date': '2022-07-11', 'ticker': 'ANIP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.21999931335449, 'high': 31.57999992370605, 'open': 31.200000762939453, 'close': 30.600000381469727, 'ema_50': 29.233198002223954, 'rsi_14': 72.63464505412342, 'target': 29.82999992370605, 'volume': 107100.0, 'ema_200': 33.049074166526346, 'adj_close': 30.600000381469727, 'rsi_lag_1': 79.4781397405898, 'rsi_lag_2': 75.69397399239175, 'rsi_lag_3': 78.83704615035424, 'rsi_lag_4': 76.15937461885727, 'rsi_lag_5': 61.008681333116805, 'macd_lag_1': 0.9451588063035423, 'macd_lag_2': 0.8660466854178104, 'macd_lag_3': 0.7616374603265328, 'macd_lag_4': 0.570458688640791, 'macd_lag_5': 0.3049110031008446, 'macd_12_26_9': 0.9285638984323406, 'macds_12_26_9': 0.456126056757566}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 29.82999992370605, '2022-07-13': 30.950000762939453, '2022-07-14': 30.6299991607666, '2022-07-15': 31.350000381469727, '2022-07-18': 30.989999771118164, '2022-07-19': 31.670000076293945, '2022-07-20': 32.630001068115234, '2022-07-21': 31.670000076293945, '2022-07-22': 31.75, '2022-07-25': 33.630001068115234}, '1_month_later': {'2022-08-11': 35.38999938964844}, '3_months_later': {'2022-10-11': 32.959999084472656}, '6_months_later': {'2023-01-11': 41.209999084472656}, '12_months_later': {'2023-07-11': 51.29999923706055}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ANSS
|
{'date': '2022-07-11', 'ticker': 'ANSS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 242.52999877929688, 'high': 248.19000244140625, 'open': 246.259994506836, 'close': 244.33999633789065, 'ema_50': 255.85215647100304, 'rsi_14': 58.934537747246836, 'target': 238.6000061035156, 'volume': 323300.0, 'ema_200': 303.55578133336695, 'adj_close': 244.33999633789065, 'rsi_lag_1': 66.80960230192747, 'rsi_lag_2': 59.22605987904857, 'rsi_lag_3': 61.36129021871565, 'rsi_lag_4': 59.58058972058649, 'rsi_lag_5': 48.98305610759322, 'macd_lag_1': -1.6122696297287575, 'macd_lag_2': -2.1469648726688035, 'macd_lag_3': -3.072093014998501, 'macd_lag_4': -3.707262677424893, 'macd_lag_5': -4.236992206264489, 'macd_12_26_9': -1.5985649611053532, 'macds_12_26_9': -3.1785903721853135}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 238.6000061035156, '2022-07-13': 234.47000122070312, '2022-07-14': 234.3999938964844, '2022-07-15': 240.7899932861328, '2022-07-18': 236.92999267578125, '2022-07-19': 247.8600006103516, '2022-07-20': 257.0799865722656, '2022-07-21': 260.1700134277344, '2022-07-22': 260.1700134277344, '2022-07-25': 257.9200134277344}, '1_month_later': {'2022-08-11': 280.1400146484375}, '3_months_later': {'2022-10-11': 200.3300018310547}, '6_months_later': {'2023-01-11': 252.1600036621093}, '12_months_later': {'2023-07-11': 333.7200012207031}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ANTE
|
{'date': '2022-07-11', 'ticker': 'ANTE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.599999904632568, 'high': 5.960000038146973, 'open': 5.920000076293945, 'close': 5.599999904632568, 'ema_50': 5.657014016967164, 'rsi_14': 50.0, 'target': 5.800000190734863, 'volume': 1000.0, 'ema_200': 6.7182693167188, 'adj_close': 5.599999904632568, 'rsi_lag_1': 60.86956972435957, 'rsi_lag_2': 44.44444864935848, 'rsi_lag_3': 37.8378395793909, 'rsi_lag_4': 36.111114330498204, 'rsi_lag_5': 52.27272542547562, 'macd_lag_1': 0.1592539857345976, 'macd_lag_2': 0.17020647669211098, 'macd_lag_3': 0.18171010730781312, 'macd_lag_4': 0.19374986700556285, 'macd_lag_5': 0.21444424536795292, 'macd_12_26_9': 0.12333103484350616, 'macds_12_26_9': 0.16864561172307088}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 5.800000190734863, '2022-07-13': 5.639999866485596, '2022-07-14': 5.639999866485596, '2022-07-15': 5.679999828338623, '2022-07-18': 5.840000152587891, '2022-07-19': 6.0, '2022-07-20': 5.639999866485596, '2022-07-21': 5.199999809265137, '2022-07-22': 5.679999828338623, '2022-07-25': 5.28000020980835}, '1_month_later': {'2022-08-11': 3.9600000381469727}, '3_months_later': {'2022-10-11': 2.799999952316284}, '6_months_later': {'2023-01-11': 1.3700000047683716}, '12_months_later': {'2023-07-11': 1.4199999570846558}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
anvs
|
{'date': '2022-07-11', 'ticker': 'anvs', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.56999969482422, 'high': 14.630000114440918, 'open': 14.1899995803833, 'close': 14.15999984741211, 'ema_50': 11.639556463107324, 'rsi_14': 69.91963405184464, 'target': 13.890000343322754, 'volume': 136800.0, 'ema_200': 18.013595458901563, 'adj_close': 14.15999984741211, 'rsi_lag_1': 74.79674607639431, 'rsi_lag_2': 78.55421811337926, 'rsi_lag_3': 64.07507130825724, 'rsi_lag_4': 64.64380322349513, 'rsi_lag_5': 50.43956009406795, 'macd_lag_1': 0.8695046779568791, 'macd_lag_2': 0.736647452023524, 'macd_lag_3': 0.5166493221190187, 'macd_lag_4': 0.4055004228693875, 'macd_lag_5': 0.3473358333284686, 'macd_12_26_9': 0.9277887912344323, 'macds_12_26_9': 0.5794606338510254}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 13.890000343322754, '2022-07-13': 14.100000381469728, '2022-07-14': 13.399999618530272, '2022-07-15': 12.890000343322754, '2022-07-18': 12.960000038146973, '2022-07-19': 12.6899995803833, '2022-07-20': 12.9399995803833, '2022-07-21': 12.770000457763672, '2022-07-22': 12.3100004196167, '2022-07-25': 11.75}, '1_month_later': {'2022-08-11': 12.140000343322754}, '3_months_later': {'2022-10-11': 12.619999885559082}, '6_months_later': {'2023-01-11': 12.68000030517578}, '12_months_later': {'2023-07-11': 13.75}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ANY
|
{'date': '2022-07-11', 'ticker': 'ANY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.760000228881836, 'high': 4.96999979019165, 'open': 4.900000095367432, 'close': 4.781000137329102, 'ema_50': 6.91864217101566, 'rsi_14': 53.36879860920045, 'target': 4.605999946594238, 'volume': 223200.0, 'ema_200': 15.651860124912275, 'adj_close': 4.781000137329102, 'rsi_lag_1': 53.18021065325616, 'rsi_lag_2': 51.89654957768195, 'rsi_lag_3': 30.645164834526653, 'rsi_lag_4': 31.294113442029754, 'rsi_lag_5': 15.594544537592853, 'macd_lag_1': -0.7098680511756426, 'macd_lag_2': -0.8187018195681013, 'macd_lag_3': -0.9457048938498467, 'macd_lag_4': -0.9743131467144908, 'macd_lag_5': -1.0166121779664596, 'macd_12_26_9': -0.6483387999951242, 'macds_12_26_9': -0.854165761101961}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 4.605999946594238, '2022-07-13': 4.5920000076293945, '2022-07-14': 4.626999855041504, '2022-07-15': 4.662000179290772, '2022-07-18': 4.879000186920166, '2022-07-19': 5.396999835968018, '2022-07-20': 5.40399980545044, '2022-07-21': 5.389999866485596, '2022-07-22': 5.019000053405762, '2022-07-25': 4.605999946594238}, '1_month_later': {'2022-08-11': 5.48799991607666}, '3_months_later': {'2022-10-11': 2.765000104904175}, '6_months_later': {'2023-01-11': 2.2890000343322754}, '12_months_later': {'2023-07-11': 2.609999895095825}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AOM
|
{'date': '2022-07-11', 'ticker': 'AOM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 38.7599983215332, 'high': 38.91999816894531, 'open': 38.83000183105469, 'close': 38.83000183105469, 'ema_50': 39.81362405730114, 'rsi_14': 59.16035980419855, 'target': 38.77999877929688, 'volume': 139800.0, 'ema_200': 42.14454256599285, 'adj_close': 37.26660919189453, 'rsi_lag_1': 60.61774526366326, 'rsi_lag_2': 54.325260429041315, 'rsi_lag_3': 57.41934372408155, 'rsi_lag_4': 57.7922053794697, 'rsi_lag_5': 47.34041419920237, 'macd_lag_1': -0.27931835065514576, 'macd_lag_2': -0.2910333109991612, 'macd_lag_3': -0.3170251428167461, 'macd_lag_4': -0.3180979412870286, 'macd_lag_5': -0.3352040571423842, 'macd_12_26_9': -0.27094539094139236, 'macds_12_26_9': -0.33078795553473117}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 38.77999877929688, '2022-07-13': 38.72999954223633, '2022-07-14': 38.59000015258789, '2022-07-15': 38.90999984741211, '2022-07-18': 38.7599983215332, '2022-07-19': 39.16999816894531, '2022-07-20': 39.22999954223633, '2022-07-21': 39.56999969482422, '2022-07-22': 39.54999923706055, '2022-07-25': 39.54999923706055}, '1_month_later': {'2022-08-11': 40.45000076293945}, '3_months_later': {'2022-10-11': 36.27000045776367}, '6_months_later': {'2023-01-11': 39.25}, '12_months_later': {'2023-07-11': 40.02000045776367}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AON
|
{'date': '2022-07-11', 'ticker': 'AON', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 273.42999267578125, 'high': 276.7699890136719, 'open': 273.5599975585937, 'close': 274.0400085449219, 'ema_50': 275.21050148608475, 'rsi_14': 74.42727047536349, 'target': 270.5599975585937, 'volume': 545400.0, 'ema_200': 282.0631570953045, 'adj_close': 270.9375305175781, 'rsi_lag_1': 76.58788755471527, 'rsi_lag_2': 69.89287582359094, 'rsi_lag_3': 78.53707552097029, 'rsi_lag_4': 73.66349581347467, 'rsi_lag_5': 71.70378866832078, 'macd_lag_1': 1.081166416505539, 'macd_lag_2': 0.8094078963803781, 'macd_lag_3': 0.45790001612112974, 'macd_lag_4': -0.5380665208828646, 'macd_lag_5': -1.4308390035766365, 'macd_12_26_9': 1.2554379360067855, 'macds_12_26_9': -0.9014681679944061}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 270.5599975585937, '2022-07-13': 269.44000244140625, '2022-07-14': 268.5899963378906, '2022-07-15': 271.6000061035156, '2022-07-18': 267.1000061035156, '2022-07-19': 275.69000244140625, '2022-07-20': 275.2699890136719, '2022-07-21': 280.6700134277344, '2022-07-22': 279.489990234375, '2022-07-25': 281.1600036621094}, '1_month_later': {'2022-08-11': 296.69000244140625}, '3_months_later': {'2022-10-11': 276.2300109863281}, '6_months_later': {'2023-01-11': 312.19000244140625}, '12_months_later': {'2023-07-11': 339.2200012207031}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AOR
|
{'date': '2022-07-11', 'ticker': 'AOR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.63999938964844, 'high': 47.880001068115234, 'open': 47.880001068115234, 'close': 47.720001220703125, 'ema_50': 49.32969406054188, 'rsi_14': 58.0402173808862, 'target': 47.61000061035156, 'volume': 519200.0, 'ema_200': 52.42262349981386, 'adj_close': 46.00809860229492, 'rsi_lag_1': 62.53372570309865, 'rsi_lag_2': 51.67039924419553, 'rsi_lag_3': 54.122625486113016, 'rsi_lag_4': 52.78351731759209, 'rsi_lag_5': 44.290646249411786, 'macd_lag_1': -0.4599221623288088, 'macd_lag_2': -0.491653598606014, 'macd_lag_3': -0.5321303665840276, 'macd_lag_4': -0.534307924280057, 'macd_lag_5': -0.537461169093568, 'macd_12_26_9': -0.4521561571856907, 'macds_12_26_9': -0.5312501833196812}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 47.61000061035156, '2022-07-13': 47.560001373291016, '2022-07-14': 47.27999877929688, '2022-07-15': 47.7599983215332, '2022-07-18': 47.66999816894531, '2022-07-19': 48.400001525878906, '2022-07-20': 48.459999084472656, '2022-07-21': 48.86000061035156, '2022-07-22': 48.77999877929688, '2022-07-25': 48.88999938964844}, '1_month_later': {'2022-08-11': 50.43000030517578}, '3_months_later': {'2022-10-11': 44.560001373291016}, '6_months_later': {'2023-01-11': 49.119998931884766}, '12_months_later': {'2023-07-11': 51.0}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AOS
|
{'date': '2022-07-11', 'ticker': 'AOS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 56.40999984741211, 'high': 57.560001373291016, 'open': 56.619998931884766, 'close': 56.68999862670898, 'ema_50': 58.66409531012567, 'rsi_14': 64.67212210032213, 'target': 56.13999938964844, 'volume': 1026900.0, 'ema_200': 65.42272876060774, 'adj_close': 55.08722686767578, 'rsi_lag_1': 63.629039080657805, 'rsi_lag_2': 64.6191644656393, 'rsi_lag_3': 60.583941097727966, 'rsi_lag_4': 55.99630635959997, 'rsi_lag_5': 41.13536044222502, 'macd_lag_1': -0.3819832753336314, 'macd_lag_2': -0.44107690611623696, 'macd_lag_3': -0.7788861413540076, 'macd_lag_4': -1.030724156911944, 'macd_lag_5': -1.279132358286887, 'macd_12_26_9': -0.3536681501635002, 'macds_12_26_9': -0.8239691000606297}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 56.13999938964844, '2022-07-13': 55.4900016784668, '2022-07-14': 54.130001068115234, '2022-07-15': 56.650001525878906, '2022-07-18': 55.459999084472656, '2022-07-19': 57.5099983215332, '2022-07-20': 57.880001068115234, '2022-07-21': 58.95000076293945, '2022-07-22': 59.0, '2022-07-25': 58.91999816894531}, '1_month_later': {'2022-08-11': 62.41999816894531}, '3_months_later': {'2022-10-11': 49.310001373291016}, '6_months_later': {'2023-01-11': 62.58000183105469}, '12_months_later': {'2023-07-11': 73.19999694824219}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AOSL
|
{'date': '2022-07-11', 'ticker': 'AOSL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.959999084472656, 'high': 34.5, 'open': 34.0, 'close': 33.130001068115234, 'ema_50': 38.020817784194335, 'rsi_14': 50.0, 'target': 32.91999816894531, 'volume': 287100.0, 'ema_200': 41.411363721350355, 'adj_close': 33.130001068115234, 'rsi_lag_1': 57.266089002708256, 'rsi_lag_2': 43.06748948676405, 'rsi_lag_3': 29.972561909693184, 'rsi_lag_4': 34.317582813537015, 'rsi_lag_5': 27.50583180676915, 'macd_lag_1': -1.984711494279928, 'macd_lag_2': -2.2871112833043483, 'macd_lag_3': -2.475889357980833, 'macd_lag_4': -2.411007554544156, 'macd_lag_5': -2.313489099024501, 'macd_12_26_9': -1.8496150375328853, 'macds_12_26_9': -2.115643981914906}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 32.91999816894531, '2022-07-13': 33.290000915527344, '2022-07-14': 34.15999984741211, '2022-07-15': 35.119998931884766, '2022-07-18': 34.540000915527344, '2022-07-19': 37.13999938964844, '2022-07-20': 38.95000076293945, '2022-07-21': 39.52000045776367, '2022-07-22': 37.54999923706055, '2022-07-25': 37.52999877929688}, '1_month_later': {'2022-08-11': 40.810001373291016}, '3_months_later': {'2022-10-11': 29.6299991607666}, '6_months_later': {'2023-01-11': 30.190000534057617}, '12_months_later': {'2023-07-11': 31.75}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ANGI
|
{'date': '2022-07-11', 'ticker': 'ANGI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.990000009536743, 'high': 4.369999885559082, 'open': 4.369999885559082, 'close': 4.010000228881836, 'ema_50': 4.884313358616089, 'rsi_14': 46.5517269728729, 'target': 3.910000085830689, 'volume': 852100.0, 'ema_200': 7.227404320315662, 'adj_close': 4.010000228881836, 'rsi_lag_1': 59.58548774751056, 'rsi_lag_2': 53.738325566160604, 'rsi_lag_3': 64.1255660036847, 'rsi_lag_4': 72.85067765909588, 'rsi_lag_5': 48.3333346578812, 'macd_lag_1': -0.06552322700682911, 'macd_lag_2': -0.05244209211833262, 'macd_lag_3': -0.05127395526249323, 'macd_lag_4': -0.06838264524330473, 'macd_lag_5': -0.10958851528590596, 'macd_12_26_9': -0.11172039767060227, 'macds_12_26_9': -0.09243483432763279}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 3.910000085830689, '2022-07-13': 3.920000076293945, '2022-07-14': 4.300000190734863, '2022-07-15': 4.860000133514404, '2022-07-18': 4.920000076293945, '2022-07-19': 5.199999809265137, '2022-07-20': 5.329999923706055, '2022-07-21': 5.420000076293945, '2022-07-22': 5.179999828338623, '2022-07-25': 5.139999866485596}, '1_month_later': {'2022-08-11': 5.050000190734863}, '3_months_later': {'2022-10-11': 2.650000095367432}, '6_months_later': {'2023-01-11': 2.559999942779541}, '12_months_later': {'2023-07-11': 3.430000066757202}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMSF
|
{'date': '2022-07-11', 'ticker': 'AMSF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.5, 'high': 50.33000183105469, 'open': 49.5, 'close': 49.86000061035156, 'ema_50': 49.87010181388738, 'rsi_14': 57.06807537522843, 'target': 49.47999954223633, 'volume': 42400.0, 'ema_200': 51.808038402259506, 'adj_close': 41.7149772644043, 'rsi_lag_1': 57.2024952435714, 'rsi_lag_2': 52.591177571024126, 'rsi_lag_3': 59.630044568492565, 'rsi_lag_4': 66.99267279008514, 'rsi_lag_5': 63.66950891888735, 'macd_lag_1': 0.4755647854028524, 'macd_lag_2': 0.6264839290677671, 'macd_lag_3': 0.7478899895051185, 'macd_lag_4': 0.7657151540811924, 'macd_lag_5': 0.6419108911425226, 'macd_12_26_9': 0.3582856618132979, 'macds_12_26_9': 0.5105933515468589}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 49.47999954223633, '2022-07-13': 48.790000915527344, '2022-07-14': 46.97999954223633, '2022-07-15': 47.290000915527344, '2022-07-18': 47.02000045776367, '2022-07-19': 47.209999084472656, '2022-07-20': 47.52999877929688, '2022-07-21': 47.31999969482422, '2022-07-22': 47.119998931884766, '2022-07-25': 47.880001068115234}, '1_month_later': {'2022-08-11': 48.380001068115234}, '3_months_later': {'2022-10-11': 47.84999847412109}, '6_months_later': {'2023-01-11': 51.81999969482422}, '12_months_later': {'2023-07-11': 52.08000183105469}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMSC
|
{'date': '2022-07-11', 'ticker': 'AMSC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.71999979019165, 'high': 5.159999847412109, 'open': 5.050000190734863, 'close': 4.760000228881836, 'ema_50': 5.569086479786067, 'rsi_14': 50.5084782474113, 'target': 4.739999771118164, 'volume': 477600.0, 'ema_200': 8.801981375858235, 'adj_close': 4.760000228881836, 'rsi_lag_1': 53.59712841039429, 'rsi_lag_2': 46.855341243732326, 'rsi_lag_3': 46.00638992237457, 'rsi_lag_4': 35.55555529391653, 'rsi_lag_5': 37.25961706540452, 'macd_lag_1': -0.16216365699862667, 'macd_lag_2': -0.17768773412722183, 'macd_lag_3': -0.19593570937405502, 'macd_lag_4': -0.18990408543547765, 'macd_lag_5': -0.18555238381236716, 'macd_12_26_9': -0.1744776798630463, 'macds_12_26_9': -0.17324233895931393}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 4.739999771118164, '2022-07-13': 4.840000152587891, '2022-07-14': 4.820000171661377, '2022-07-15': 4.739999771118164, '2022-07-18': 4.889999866485596, '2022-07-19': 4.760000228881836, '2022-07-20': 5.170000076293945, '2022-07-21': 5.28000020980835, '2022-07-22': 4.960000038146973, '2022-07-25': 4.860000133514404}, '1_month_later': {'2022-08-11': 5.659999847412109}, '3_months_later': {'2022-10-11': 3.880000114440918}, '6_months_later': {'2023-01-11': 4.300000190734863}, '12_months_later': {'2023-07-11': 6.699999809265137}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMS
|
{'date': '2022-07-11', 'ticker': 'AMS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.25, 'high': 2.2699999809265137, 'open': 2.25, 'close': 2.2699999809265137, 'ema_50': 2.2717906107721566, 'rsi_14': 58.33333333333329, 'target': 2.3499999046325684, 'volume': 600.0, 'ema_200': 2.389102146521836, 'adj_close': 2.2699999809265137, 'rsi_lag_1': 56.75675675675679, 'rsi_lag_2': 55.26315789473683, 'rsi_lag_3': 50.0, 'rsi_lag_4': 42.85714285714289, 'rsi_lag_5': 41.6666666666667, 'macd_lag_1': -0.007678303299245126, 'macd_lag_2': -0.010596288705753132, 'macd_lag_3': -0.014166571334340627, 'macd_lag_4': -0.014444767644929968, 'macd_lag_5': -0.012553379894001626, 'macd_12_26_9': -0.005304630364809437, 'macds_12_26_9': -0.011279823055551998}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 2.3499999046325684, '2022-07-13': 2.299999952316284, '2022-07-14': 2.359999895095825, '2022-07-15': 2.259999990463257, '2022-07-18': 2.299999952316284, '2022-07-19': 2.299999952316284, '2022-07-20': 2.299999952316284, '2022-07-21': 2.299999952316284, '2022-07-22': 2.3399999141693115, '2022-07-25': 2.2799999713897705}, '1_month_later': {'2022-08-11': 2.5}, '3_months_later': {'2022-10-11': 2.5799999237060547}, '6_months_later': {'2023-01-11': 2.8499999046325684}, '12_months_later': {'2023-07-11': 2.549999952316284}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ALTR
|
{'date': '2022-07-11', 'ticker': 'ALTR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 51.46500015258789, 'high': 53.959999084472656, 'open': 53.060001373291016, 'close': 51.619998931884766, 'ema_50': 53.90147772068346, 'rsi_14': 48.90944572189277, 'target': 49.65999984741211, 'volume': 354300.0, 'ema_200': 60.3612704979799, 'adj_close': 51.619998931884766, 'rsi_lag_1': 59.36254556231304, 'rsi_lag_2': 57.19769448848417, 'rsi_lag_3': 60.460992028367635, 'rsi_lag_4': 60.353985806179224, 'rsi_lag_5': 50.3707959180787, 'macd_lag_1': -0.10594926146433892, 'macd_lag_2': -0.15552389924383903, 'macd_lag_3': -0.25522801622879143, 'macd_lag_4': -0.30750151308149043, 'macd_lag_5': -0.42676707597283325, 'macd_12_26_9': -0.19433443142052909, 'macds_12_26_9': -0.28399383692500063}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 49.65999984741211, '2022-07-13': 49.380001068115234, '2022-07-14': 49.02999877929688, '2022-07-15': 51.36000061035156, '2022-07-18': 51.34000015258789, '2022-07-19': 52.83000183105469, '2022-07-20': 54.27000045776367, '2022-07-21': 55.02000045776367, '2022-07-22': 54.90999984741211, '2022-07-25': 54.380001068115234}, '1_month_later': {'2022-08-11': 55.31999969482422}, '3_months_later': {'2022-10-11': 44.52000045776367}, '6_months_later': {'2023-01-11': 49.5}, '12_months_later': {'2023-07-11': 73.61000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ALTY
|
{'date': '2022-07-11', 'ticker': 'ALTY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.529999732971191, 'high': 11.609999656677246, 'open': 11.59000015258789, 'close': 11.609999656677246, 'ema_50': 11.872627682727575, 'rsi_14': 69.95299909221879, 'target': 11.520000457763672, 'volume': 3400.0, 'ema_200': 12.5378862324177, 'adj_close': 10.47347640991211, 'rsi_lag_1': 72.82376285737445, 'rsi_lag_2': 56.85784251160777, 'rsi_lag_3': 57.563337778089696, 'rsi_lag_4': 60.27395246983437, 'rsi_lag_5': 44.89796663114718, 'macd_lag_1': -0.0997693206002328, 'macd_lag_2': -0.10936645450478721, 'macd_lag_3': -0.1198214808368494, 'macd_lag_4': -0.12073207877760694, 'macd_lag_5': -0.1349019128848017, 'macd_12_26_9': -0.0896773568409941, 'macds_12_26_9': -0.12705946811349772}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 11.520000457763672, '2022-07-13': 11.579999923706056, '2022-07-14': 11.529999732971191, '2022-07-15': 11.539999961853027, '2022-07-18': 11.579999923706056, '2022-07-19': 11.670000076293944, '2022-07-20': 11.729999542236328, '2022-07-21': 11.800000190734863, '2022-07-22': 11.779999732971191, '2022-07-25': 11.829999923706056}, '1_month_later': {'2022-08-11': 12.260000228881836}, '3_months_later': {'2022-10-11': 10.5600004196167}, '6_months_later': {'2023-01-11': 11.5}, '12_months_later': {'2023-07-11': 11.300000190734863}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ALV
|
{'date': '2022-07-11', 'ticker': 'ALV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 73.51000213623047, 'high': 75.73999786376953, 'open': 75.62000274658203, 'close': 73.83999633789062, 'ema_50': 75.4047304054444, 'rsi_14': 59.432834583063645, 'target': 75.77999877929688, 'volume': 390300.0, 'ema_200': 83.86133046446814, 'adj_close': 70.64986419677734, 'rsi_lag_1': 68.02050309477838, 'rsi_lag_2': 55.687045405924096, 'rsi_lag_3': 51.17711215482941, 'rsi_lag_4': 50.30260906786955, 'rsi_lag_5': 45.12935976207795, 'macd_lag_1': -0.43218072199803714, 'macd_lag_2': -0.6650028857397956, 'macd_lag_3': -0.9209324722480403, 'macd_lag_4': -0.7607416077054836, 'macd_lag_5': -0.5757602461199269, 'macd_12_26_9': -0.4195461078738276, 'macds_12_26_9': -0.535221504234972}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 75.77999877929688, '2022-07-13': 73.68000030517578, '2022-07-14': 72.3499984741211, '2022-07-15': 74.44999694824219, '2022-07-18': 75.62999725341797, '2022-07-19': 79.87000274658203, '2022-07-20': 80.0199966430664, '2022-07-21': 81.43000030517578, '2022-07-22': 82.05000305175781, '2022-07-25': 83.48999786376953}, '1_month_later': {'2022-08-11': 84.33999633789062}, '3_months_later': {'2022-10-11': 71.69999694824219}, '6_months_later': {'2023-01-11': 80.30999755859375}, '12_months_later': {'2023-07-11': 90.1500015258789}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ALX
|
{'date': '2022-07-11', 'ticker': 'ALX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 230.0, 'high': 232.9900054931641, 'open': 230.009994506836, 'close': 231.38999938964844, 'ema_50': 233.71919382240165, 'rsi_14': 65.97982983119033, 'target': 232.47999572753903, 'volume': 10800.0, 'ema_200': 250.9034630011863, 'adj_close': 203.5064849853516, 'rsi_lag_1': 64.2604213266369, 'rsi_lag_2': 59.662825825759825, 'rsi_lag_3': 59.991847872590306, 'rsi_lag_4': 57.02655603279736, 'rsi_lag_5': 48.49183955308623, 'macd_lag_1': -1.6611033120356353, 'macd_lag_2': -2.075715414670384, 'macd_lag_3': -2.724391853018801, 'macd_lag_4': -3.0708208166089435, 'macd_lag_5': -3.6505775255741355, 'macd_12_26_9': -1.1801267432253724, 'macds_12_26_9': -2.883153980865579}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 232.47999572753903, '2022-07-13': 229.92999267578125, '2022-07-14': 232.3099975585937, '2022-07-15': 235.5599975585937, '2022-07-18': 232.75, '2022-07-19': 234.9199981689453, '2022-07-20': 228.63999938964844, '2022-07-21': 232.759994506836, '2022-07-22': 232.509994506836, '2022-07-25': 232.38999938964844}, '1_month_later': {'2022-08-11': 258.9800109863281}, '3_months_later': {'2022-10-11': 207.0399932861328}, '6_months_later': {'2023-01-11': 229.97000122070312}, '12_months_later': {'2023-07-11': 183.32000732421875}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AM
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{'date': '2022-07-11', 'ticker': 'AM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.100000381469728, 'high': 9.34000015258789, 'open': 9.25, 'close': 9.300000190734863, 'ema_50': 9.930111090788321, 'rsi_14': 53.42465306026465, 'target': 9.029999732971191, 'volume': 3304300.0, 'ema_200': 10.046359085600102, 'adj_close': 8.210620880126953, 'rsi_lag_1': 47.416426677952295, 'rsi_lag_2': 42.85715034281184, 'rsi_lag_3': 34.46153494027945, 'rsi_lag_4': 33.63363096755269, 'rsi_lag_5': 29.94652283693135, 'macd_lag_1': -0.3318074299916969, 'macd_lag_2': -0.35703370653765987, 'macd_lag_3': -0.3881111144408109, 'macd_lag_4': -0.3773318808503774, 'macd_lag_5': -0.3682670523685907, 'macd_12_26_9': -0.30905971101330465, 'macds_12_26_9': -0.33393311398737757}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 9.029999732971191, '2022-07-13': 9.210000038146973, '2022-07-14': 9.260000228881836, '2022-07-15': 9.260000228881836, '2022-07-18': 9.550000190734863, '2022-07-19': 9.949999809265137, '2022-07-20': 9.899999618530272, '2022-07-21': 9.75, '2022-07-22': 9.649999618530272, '2022-07-25': 9.949999809265137}, '1_month_later': {'2022-08-11': 10.380000114440918}, '3_months_later': {'2022-10-11': 9.850000381469728}, '6_months_later': {'2023-01-11': 11.210000038146973}, '12_months_later': {'2023-07-11': 11.710000038146973}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMAT
|
{'date': '2022-07-11', 'ticker': 'AMAT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/these-2-stocks-could-triple-your-money-over-the-next-decade-1', 'news_author': None, 'news_article': "While you should never buy a stock just because it's down a lot, with so many stocks down by so much this year, there are bound to be some huge bargains out there.\nWhen investors are increasingly worried about the short term, investors should expand their time horizon. Looking out to 2030, some marked-down stocks have businesses that are bound to be much larger in 10 years than they are today.\nThat could lead to market-trouncing returns for those willing to buy when others are fearful, and it's why semiconductor equipment companies Applied Materials (NASDAQ: AMAT) and Lam Research (NASDAQ: LRCX) are prime candidates to potentially triple your money over the next decade.\nWhat Applied and Lam do\nApplied and Lam are kind of like the Coke and Pepsi of semiconductor etch and deposition equipment. Deposition machines lay down extremely thin layers of material on a silicon wafer, while etch machines strip away that material, leaving the lithographic imprint of transistor materials behind. This step is repeated over and over to produce today's semiconductors.\nApplied has a slightly more diverse business, with inspection metrology machines, packaging machines, and an advanced display business as well; however, most of its revenues come from etch and deposition. Meanwhile, Lam Research is an etch and deposition pure-play, and a specialist at vertical stacking. NAND flash memory uses a lot of this technology, but 3D stacking will also be used more in future DRAM and logic chips.\nA high-growth industry\nSince basically all semiconductors are made with either a Lam or Applied machine, or both, growth should generally track that of the semiconductor industry. The great news is that the semiconductor industry outlook is very bright, even if the next few quarters are a bit hazy.\nAccording to a recent report by consulting giant McKinsey, the semiconductor industry is projected to grow at a 7% annualized rate through 2030 -- a much higher rate than GDP. That's because semiconductors are making their way into a wider variety of devices. Not only is semiconductor content going up in traditional PC and mobile markets, but newer applications of cloud computing, artificial intelligence, autonomous and electric vehicles, and industrial automation will all contribute to high demand for chips this decade.\nIf Lam and Applied's growth merely tracks the projected growth of semiconductors, a 7% growth rate over 10 years means revenue and earnings would nearly double. But there are advantages to Lam and Applied that should allow them to do even better.\nA global oligopoly gives each company big advantages\nThe semiconductor manufacturing industry is very dynamic, but leading equipment players have consolidated the industry over past cycles, with only a few large players left. The remaining large equipment companies have such a research and development lead, and work in such close partnership with leading foundries, that they would be incredibly hard to displace by a smaller players, barring some sort of miracle technological breakthrough. Chip manufacturing is only becoming more difficult, so if you are a large foundry, would you really want to gamble on a new upstart equipment-maker?\nThis technological and scale-based moat should help Lam and Applied grow earnings by a greater amount than the overall industry, for two reasons. One, an oligopolistic industry tends to generate high and increasing operating margins, and this has been the case for both of these companies, especially over the past 10 years.\nLRCX EBIT Margin (TTM) data by YCharts\nBesides margin expansion that comes from increased scale and pricing power, there's also a case to be made that the capital intensity of chipmaking could go up. While equipment spending as a percentage of industry revenue has gone up, the operating margins of leading chipmakers have also trended up over the past decade. That means more room for designers to invest in capital equipment. Given the increasing complexity of leading-edge chipmaking, I wouldn't be surprised to see capital intensity rise.\nEvery percentage point of increasing capital intensity or margin expansion could mean another point of earnings growth for these two leaders.\nBuybacks and rising dividends\nAnother attractive characteristic of these two equipment-makers is that while they provide tools for a capital-intensive process, their own capital intensity is quite low. That makes for very high returns on invested capital (ROIC).\nLRCX Return on Invested Capital data by YCharts\nHigh ROIC means these companies can invest in growth while also having cash leftover for share repurchases and dividends. Both Lam and Applied return between 75% and 100% of free cash flow to shareholders in the form of dividends and share repurchases. Over the past five years, that has led each company to lower its share count by about 20%, while more than doubling its dividend.\nLRCX Average Diluted Shares Outstanding (Quarterly) data by YCharts\nLooking at just repurchases, a 20% reduction in shares over five years equates to repurchasing 4.4% annually. If the trend persists, shareholders can still expect between 3% and 5% earnings growth from share buybacks alone.\nPutting it all together\nIf Applied and Lam each grow earnings 7% annually from industry growth, gain another 1% from either margin expansion or increasing capital intensity (a conservative assumption), and buy back 3.5% of their stock per year, that would equate to about 11.5% earnings growth. Over 10 years, that leads to a tripling of earnings.\nOf course, this doesn't even count both companies' dividends. Applied currently yields 1.2%, and Lam currently yields 1.5%. Given the high likelihood of double-digit annual dividend growth, those payments could easily put 10-year returns well over 200%, and even higher if you reinvest those payments.\nFinally, there is a strong case to be made that both companies' valuation multiples will expand. Each has sold off a lot with the market this year, with Applied Materials now trading at just 12.2 times trailing earnings and Lam Research at just 13 times earnings. Assuming those multiples go to just a market average of 16, and that would increase overall returns by another 10% to 20%. Each company has traded at higher multiples than that at times in the past, so a 16 P/E ratio may also be conservative.\nSure, most investors are fretting about a potential down-cycle for semiconductor investment next year. Yet with these stocks down more than 42% in 2022, today's prices could very well end up being tremendous bargains for long-term investors.\n10 stocks we like better than Lam Research\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and Lam Research wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nBilly Duberstein has positions in Applied Materials and Lam Research and has the following options: short January 2023 $320 puts on Lam Research. His clients may own shares of the companies mentioned. The Motley Fool has positions in and recommends Applied Materials and Lam Research. The Motley Fool recommends the following options: long January 2024 $47.50 calls on Coca-Cola. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "That could lead to market-trouncing returns for those willing to buy when others are fearful, and it's why semiconductor equipment companies Applied Materials (NASDAQ: AMAT) and Lam Research (NASDAQ: LRCX) are prime candidates to potentially triple your money over the next decade. Not only is semiconductor content going up in traditional PC and mobile markets, but newer applications of cloud computing, artificial intelligence, autonomous and electric vehicles, and industrial automation will all contribute to high demand for chips this decade. While equipment spending as a percentage of industry revenue has gone up, the operating margins of leading chipmakers have also trended up over the past decade.", 'news_luhn_summary': "That could lead to market-trouncing returns for those willing to buy when others are fearful, and it's why semiconductor equipment companies Applied Materials (NASDAQ: AMAT) and Lam Research (NASDAQ: LRCX) are prime candidates to potentially triple your money over the next decade. If Lam and Applied's growth merely tracks the projected growth of semiconductors, a 7% growth rate over 10 years means revenue and earnings would nearly double. LRCX Return on Invested Capital data by YCharts High ROIC means these companies can invest in growth while also having cash leftover for share repurchases and dividends.", 'news_article_title': 'These 2 Stocks Could Triple Your Money Over the Next Decade', 'news_lexrank_summary': "That could lead to market-trouncing returns for those willing to buy when others are fearful, and it's why semiconductor equipment companies Applied Materials (NASDAQ: AMAT) and Lam Research (NASDAQ: LRCX) are prime candidates to potentially triple your money over the next decade. If Lam and Applied's growth merely tracks the projected growth of semiconductors, a 7% growth rate over 10 years means revenue and earnings would nearly double. Putting it all together If Applied and Lam each grow earnings 7% annually from industry growth, gain another 1% from either margin expansion or increasing capital intensity (a conservative assumption), and buy back 3.5% of their stock per year, that would equate to about 11.5% earnings growth.", 'news_textrank_summary': "That could lead to market-trouncing returns for those willing to buy when others are fearful, and it's why semiconductor equipment companies Applied Materials (NASDAQ: AMAT) and Lam Research (NASDAQ: LRCX) are prime candidates to potentially triple your money over the next decade. Putting it all together If Applied and Lam each grow earnings 7% annually from industry growth, gain another 1% from either margin expansion or increasing capital intensity (a conservative assumption), and buy back 3.5% of their stock per year, that would equate to about 11.5% earnings growth. See the 10 stocks *Stock Advisor returns as of June 2, 2022 Billy Duberstein has positions in Applied Materials and Lam Research and has the following options: short January 2023 $320 puts on Lam Research."}, {'news_url': 'https://www.nasdaq.com/articles/5-star-analyst-picks-these-two-stocks-from-his-repertoire', 'news_author': None, 'news_article': "The prevailing economic landscape is riddled with pain for investors in the capital markets. If record-high inflation levels have not been enough, the woes are expected to compound with an impending recession on the horizon.\nIn such an environment, following the path of a market expert can be a smart choice. Here, we have used the TipRanks’ Expert Center, which brings together the top minds from Wall Street and their picks that can be considered by investors.\nIn today’s Expert Spotlight Piece, our focus is on Timothy Arcuri. Timothy Arcuri is a Managing Director at leading financial services company UBS. Arcuri’s primary area of focus is the semiconductors space in the U.S. region. Arcuri has been in the market for more than two decades with notable former stints in organizations like Citi and Cowen and Company. Notably, the analyst has been named to the All-America Research Team eleven times since 2004.\nHow Does Arcuri Fare Among Other TipRanks Experts?\nAccording to the TipRanks Star Ranking System, Timothy Arcuri ranks #11 out of 7,924 analysts in the TipRanks universe and #20 among 20,710 overall experts, including hedge fund managers, Wall Street analysts, corporate insiders, financial bloggers, and individual investors.\nArcuri has a success rate of 67% and an average return per rating of 27.3%.\nThe analyst’s average returns relative to the S&P 500 and the benchmark sector stand at 15.9% and 10%, respectively.\nNotably, according to TipRanks, Arcuri’s most profitable pick has been Nvidia Corporation (NVDA) between August 14, 2019, to August 14, 2020, generating an impressive return of 158.9%.\nNow, let’s have a look at his two top picks.\nMicron Technology, Inc. (NASDAQ: MU)\nBased out of Boise, ID, Micron Technology is a computer memory and computer data storage producer.\nPresently, the company commands a market cap of $66.04 billion. Meanwhile, the company's dividend yield stands at 0.51%.\nMicron Technology’s recent results for the third quarter were impressive, with both revenue and earnings surpassing estimates. Revenues for the quarter came in at $8.64 billion, rising 16.4% from the prior year. Further, the company’s earnings per share (EPS) came in at $2.59, which denotes a year-over-year growth of 37.8%.\nNotably, the company is slated to report its fourth-quarter results on September 27 with an EPS forecast of $1.71.\nArcuri reiterated a Buy rating on the stock with a price target of $90, which implies upside potential of 52.2% from current levels. The analyst enjoys a success rate of 56% and an average profit of 25.4% on the stock.\nAccording to the analyst, all the downside of the stock has been priced in so far. The analyst remarked that the stock remains poised for an upside due to a rise in demand for server components.\nOverall, the Wall Street community is cautiously optimistic about the stock with a Moderate Buy consensus rating based on 20 Buys, five Holds, and one Sell. The MU average price target of $80.91 implies the stock has upside potential of 36.8% from current levels. Shares have declined 25.2% over the past year.\nApplied Materials, Inc. (NASDAQ: AMAT)\nBased out of Santa Clara, CA, Applied Materials supplies equipment, services, and software to manufacture semiconductor chips.\nApplied Materials' market cap stands at $79.33 billion while it also has an attractive dividend yield of 1.07%,\nThe company’s latest financial results for the second quarter showed growth but missed estimates. Revenues for the quarter came in at $6.25 billion, up 12% from the prior year, while EPS jumped 13.5% from the previous year to $1.85.\nThe company is slated to report its results for the third quarter on August 18. The EPS forecast for the third quarter is pegged at $1.78.\nNotably, Arcuri reiterated a Hold rating on the stock with a price target of $100, which implies upside potential of 9.7% from current levels. The analyst enjoys a success rate of 69% and an average profit of 18.9% on the stock.\nOverall, consensus among analysts is a Strong Buy based on 16 Buys and five Holds. The AMAT average price target of $142.95 implies upside potential of 56.8% from current levels. Shares have declined 32.8% over the past year.\nConclusion\nWith the semiconductor chip shortage situation improving, a bet on the industry can be a prudent choice for investors. Keeping that in mind, Timothy Arcuri’s storied experience in the space and his two top picks can be taken into consideration by investors as viable investment picks.\nRead full Disclosure\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'Applied Materials, Inc. (NASDAQ: AMAT) Based out of Santa Clara, CA, Applied Materials supplies equipment, services, and software to manufacture semiconductor chips. The AMAT average price target of $142.95 implies upside potential of 56.8% from current levels. Arcuri reiterated a Buy rating on the stock with a price target of $90, which implies upside potential of 52.2% from current levels.', 'news_luhn_summary': 'The AMAT average price target of $142.95 implies upside potential of 56.8% from current levels. Applied Materials, Inc. (NASDAQ: AMAT) Based out of Santa Clara, CA, Applied Materials supplies equipment, services, and software to manufacture semiconductor chips. Arcuri reiterated a Buy rating on the stock with a price target of $90, which implies upside potential of 52.2% from current levels.', 'news_article_title': '5-Star Analyst Picks These Two Stocks From His Repertoire', 'news_lexrank_summary': 'Applied Materials, Inc. (NASDAQ: AMAT) Based out of Santa Clara, CA, Applied Materials supplies equipment, services, and software to manufacture semiconductor chips. The AMAT average price target of $142.95 implies upside potential of 56.8% from current levels. Notably, according to TipRanks, Arcuri’s most profitable pick has been Nvidia Corporation (NVDA) between August 14, 2019, to August 14, 2020, generating an impressive return of 158.9%.', 'news_textrank_summary': 'Applied Materials, Inc. (NASDAQ: AMAT) Based out of Santa Clara, CA, Applied Materials supplies equipment, services, and software to manufacture semiconductor chips. The AMAT average price target of $142.95 implies upside potential of 56.8% from current levels. According to the TipRanks Star Ranking System, Timothy Arcuri ranks #11 out of 7,924 analysts in the TipRanks universe and #20 among 20,710 overall experts, including hedge fund managers, Wall Street analysts, corporate insiders, financial bloggers, and individual investors.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 87.81999969482422, 'high': 90.06999969482422, 'open': 89.5, 'close': 88.62000274658203, 'ema_50': 103.02374468626337, 'rsi_14': 48.04397175471386, 'target': 88.7300033569336, 'volume': 5319300.0, 'ema_200': 120.60013261848658, 'adj_close': 87.36943054199219, 'rsi_lag_1': 52.79721287073245, 'rsi_lag_2': 40.73354105181754, 'rsi_lag_3': 34.57054346800932, 'rsi_lag_4': 34.044529330819174, 'rsi_lag_5': 29.258572170048538, 'macd_lag_1': -5.096775493372817, 'macd_lag_2': -5.445491016138476, 'macd_lag_3': -5.766571438199662, 'macd_lag_4': -5.6658909801316355, 'macd_lag_5': -5.3979552116115315, 'macd_12_26_9': -4.970496635028169, 'macds_12_26_9': -5.156846250507075}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 88.7300033569336, '2022-07-13': 89.08000183105469, '2022-07-14': 91.66999816894533, '2022-07-15': 94.47000122070312, '2022-07-18': 93.13999938964844, '2022-07-19': 98.2300033569336, '2022-07-20': 102.2300033569336, '2022-07-21': 103.83999633789062, '2022-07-22': 101.66999816894533, '2022-07-25': 101.0}, '1_month_later': {'2022-08-11': 105.52999877929688}, '3_months_later': {'2022-10-11': 76.30000305175781}, '6_months_later': {'2023-01-11': 110.05999755859376}, '12_months_later': {'2023-07-11': 137.55999755859375}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMBA
|
{'date': '2022-07-11', 'ticker': 'AMBA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 64.81999969482422, 'high': 68.02999877929688, 'open': 67.4800033569336, 'close': 65.11000061035156, 'ema_50': 76.65710205675884, 'rsi_14': 45.54339332263587, 'target': 64.37999725341797, 'volume': 348300.0, 'ema_200': 106.28669342108984, 'adj_close': 65.11000061035156, 'rsi_lag_1': 57.554894392112985, 'rsi_lag_2': 45.538141394854264, 'rsi_lag_3': 40.90909347221501, 'rsi_lag_4': 38.89299449810827, 'rsi_lag_5': 29.67626302382905, 'macd_lag_1': -3.1023795444117326, 'macd_lag_2': -3.458451908882708, 'macd_lag_3': -3.8870611178984547, 'macd_lag_4': -3.8725651670901016, 'macd_lag_5': -3.7437713299177062, 'macd_12_26_9': -3.1127230573687257, 'macds_12_26_9': -3.3492307047941408}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 64.37999725341797, '2022-07-13': 64.2699966430664, '2022-07-14': 65.01000213623047, '2022-07-15': 68.23999786376953, '2022-07-18': 67.55999755859375, '2022-07-19': 71.69000244140625, '2022-07-20': 76.22000122070312, '2022-07-21': 79.0, '2022-07-22': 76.54000091552734, '2022-07-25': 75.58999633789062}, '1_month_later': {'2022-08-11': 88.61000061035156}, '3_months_later': {'2022-10-11': 53.68000030517578}, '6_months_later': {'2023-01-11': 86.48999786376953}, '12_months_later': {'2023-07-11': 80.69000244140625}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMBO
|
{'date': '2022-07-11', 'ticker': 'AMBO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.3420000076293945, 'high': 0.375, 'open': 0.3600000143051147, 'close': 0.3420000076293945, 'ema_50': 0.5149287779487403, 'rsi_14': 44.85714424386341, 'target': 0.3840000033378601, 'volume': 13700.0, 'ema_200': 0.9063696230873245, 'adj_close': 0.3420000076293945, 'rsi_lag_1': 50.0, 'rsi_lag_2': 36.489602049409235, 'rsi_lag_3': 34.44444150100435, 'rsi_lag_4': 30.27343346411628, 'rsi_lag_5': 27.304960285493607, 'macd_lag_1': -0.06348100944974094, 'macd_lag_2': -0.06665980170360952, 'macd_lag_3': -0.0680165883468255, 'macd_lag_4': -0.06845355563912786, 'macd_lag_5': -0.06954286799003129, 'macd_12_26_9': -0.06170297035944844, 'macds_12_26_9': -0.0656915053616627}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 0.3840000033378601, '2022-07-13': 0.4099999964237213, '2022-07-14': 0.4309999942779541, '2022-07-15': 0.4300000071525574, '2022-07-18': 0.4199999868869781, '2022-07-19': 0.3869999945163727, '2022-07-20': 0.3790000081062317, '2022-07-21': 0.375, '2022-07-22': 0.4000000059604645, '2022-07-25': 0.4149999916553497}, '1_month_later': {'2022-08-11': 0.4099999964237213}, '3_months_later': {'2022-10-11': 0.270000010728836}, '6_months_later': {'2023-01-11': 0.3129999935626983}, '12_months_later': {'2023-07-11': 0.2199999988079071}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMC
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{'date': '2022-07-11', 'ticker': 'AMC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/best-entertainment-stocks-to-buy-now-3-to-know', 'news_author': None, 'news_article': 'Are These Entertainment Stocks On Your Watchlist This Week?\nWhile investors are looking for the most active stocks, entertainment stocks are making headlines today. This could be thanks to the box office movie Thor making an estimated $143 million domestically on its opening weekend. Moreover, this is followed by the success of Minions last week of a $125 million opener. This means that movie theaters have possibly returned to pre-pandemic times. As a result, investors could be watching entertainment stocks today.\nAt the same time, entertainment stocks also include gaming and toy companies. For instance, Mattel (NASDAQ: MAT) is making headlines. This comes as Goldman Sachs (NYSE: GS) analyst Michael Ng boosted its rating on Mattel from a Neutral rating to a Buy rating. This upgrade is because Mattel may benefit from several company-specific demand drivers in TV and film content releases. On top of that, Barbie toy sales are already benefiting from the upcoming theatrical release of Barbie. \nAnother entertainment stock worth mentioning is Netflix (NASDAQ: NFLX). The latest season of Stranger Things has become the company’s second series to have more than 1 billion hours watched in the first month. With its two-stage release strategy, it’s quite possible that Stranger Things will become the top series watched of all time on the streaming platform. Considering all of this, here are three more entertainment stocks for your watchlist in the stock market today.\nEntertainment Stocks To Watch Today\nAMC Entertainment Holdings Inc. (NYSE: AMC)\nHasbro Inc. (NASDAQ: HAS)\nWalt Disney Company (NYSE: DIS)\nAMC Entertainment Holdings Inc.\nStarting us off today, we have AMC Entertainment Holdings, a company that runs a movie theater chain. In fact, it is one of the largest movie theater chains in the world, with over 10,000 screens and 950 theaters. The company also delivers a distinctive and affordable movie-going experience with its loyalty and subscription programs and enhanced food and beverage choices.\nToday, it announced that it has achieved its busiest weekend of 2022, both globally and domestically from July 7 to July 10. This was led by the opening of Thor: Love and Thunder, the box office has also been propelled by several summer blockbuster titles. Domestically, AMC’s admissions revenue outperformed the same weekend in 2019 by an estimated 14%. Adding in the company’s international theaters, global admissions revenue outpaced 2019 by 12%. \nCEO of AMC, Adam Aron had this to say, “The box office results week after week after week this summer have demonstrated what we at AMC have believed to be true all along: consumers want to experience their movies through the unrivaled experience of a movie theater, with its big screens, big sound, and comfortable big seats. Our now busiest weekend of 2022 was powered by several big movie titles all playing simultaneously. Happily, the enduring resilience and consumer appeal of theatrical exhibition are on full display.” The company also announced that its second-quarter financials will be reported on August 4, 2022, after the market closes. All things considered, is AMC stock worth investing in right now?\nSource: TD Ameritrade TOS\n[Read More] Stock Market Today: Dow Jones, S&P 500 Slide; Twitter Stock Falters After Musk Attempts To Terminate $44 Billion Deal\nHasbro Inc.\nNext, we have Hasbro, a global play and entertainment company that continues to deliver immersive brand experiences. It serves its global audience through consumer products that include toys and games. It also owns eOne, an independent studio, and Wizards of the Coast, an award-winning developer of tabletop and digital games best known for its fantasy franchises like Magic: The Gathering.\nIn late June, the company announced a partnership with the National Basketball Association (NBA) and National Basketball Players Association (NBPA) for the highly anticipated re-launch of Starting Lineup. Starting Lineup is an iconic sports collectibles brand and will include an exclusive officially licensed Panini NBA trading card. Launching this fall in partnership with Fanatics, a global digital sports platform, the Starting Lineup brand will feature legendary NBA superstars as part of its first wave of figures and will be available for pre-order starting September 22 exclusively on Hasbro Pulse and across the Fanatics network of online sites, including Fanatics.com and official league stores.\nOn June 16, 2022, the company also issued a letter to its shareholders. In it, Hasbro says that its CEO Chris Cocks will be moving forward with the refinement of Hasbro’s long-term strategy. This includes actions to drive meaningful change by focusing on fewer, bigger opportunities, profitably growing our world-class portfolio of brands, and amplifying our industry-leading gaming portfolio. The idea is to be more customer-centric, and place a spotlight on games, multi-generational play, and entertainment for its customers. Now, is HAS stock worth looking into today?\nSource: TD Ameritrade TOS\n[Read More] Best Stocks To Invest In 2022? 3 Consumer Stocks To Watch\nWalt Disney Company\nLast but not least, we have the worldwide entertainment company, Walt Disney. The company operates in two segments, Disney Media and Entertainment Distribution (DMED) and Disney Parks, Experiences, and Products are the company’s segments (DPEP). On one hand, the DMED segment includes the Company’s global production and distribution of film and episodic television programs. On the other hand, the DPEP segment of the Company’s business consists of the selling of theme park admissions. The segment also includes the sale of food, beverage, and merchandise at its theme parks and resorts.\nIn its DPEP segment, Walt Disney has been launching new rides this year to compete with its rival, Universal Studios. Today, the company is preparing to open a new ride at the Magic Kingdom in Orlando. The successful ride at Shanghai China Park, known as The Tron Lightcycle Power Run, has inspired this new ride. The ride pays tribute to the original 1982 Tron film and its sequel, Tron: Legacy, and is partially enclosed giving guests a feel of riding through the grid.\nMeanwhile, Thor: Love and Thunder is the 29th feature film produced by Marvel Studios since it was acquired by Disney in 2009. The movie has solidified another blockbuster performance for Marvel Studios. Additionally, it is the third-highest domestic opening-weekend gross since theaters reopened following the pandemic. This is after two other Marvel-produced films, Spiderman: No Way Home and Doctor Strange in the Multiverse of Madness. With such success over the weekend, is DIS stock a buy right now?\nSource: TD Ameritrade TOS\nIf you enjoyed this article and you’re interested in learning how to trade so you can have the best chance to profit consistently then you need to checkout this YouTube channel.\nCLICK HERE RIGHT NOW!!\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. Starting us off today, we have AMC Entertainment Holdings, a company that runs a movie theater chain. Domestically, AMC’s admissions revenue outperformed the same weekend in 2019 by an estimated 14%.', 'news_luhn_summary': 'Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. Starting us off today, we have AMC Entertainment Holdings, a company that runs a movie theater chain. Domestically, AMC’s admissions revenue outperformed the same weekend in 2019 by an estimated 14%.', 'news_article_title': 'Best Entertainment Stocks To Buy Now? 3 To Know', 'news_lexrank_summary': 'Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. Starting us off today, we have AMC Entertainment Holdings, a company that runs a movie theater chain. Domestically, AMC’s admissions revenue outperformed the same weekend in 2019 by an estimated 14%.', 'news_textrank_summary': 'Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. Starting us off today, we have AMC Entertainment Holdings, a company that runs a movie theater chain. Domestically, AMC’s admissions revenue outperformed the same weekend in 2019 by an estimated 14%.'}, {'news_url': 'https://www.nasdaq.com/articles/a-more-positive-outlook-ahead-of-q2-earnings', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nIt’s hard to stay positive in a market like this, but things seem to be looking up – at least in the short term.\nThe most recent positive shift in investor sentiment couldn’t have come at a better time because this week is the start of second-quarter earnings.\nHere’s what happened…\nWe started last week with a negative outlook; in our view, the market was in a no-win situation with the unemployment and labor report that would be released on Friday.\nIf the jobs data from the Bureau of Labor Statistics (BLS) was good, investors would expect that to clear the way for an even-bigger-than-expected rate hike from the Federal Reserve and sell stocks. If the jobs data was worse than expected, investors would worry about recession and sell stocks.\nThere didn’t seem to be a golden zone for the unemployment data to prevent a selloff… However, that’s exactly what appears to have happened.\nThe BLS reported that jobs grew by 372K in June, which was much better than the expected 260K. The unemployment rate held steady at 3.6%. The news was so far beyond expectations that it offset the damage that would have otherwise been caused by expectations about the Fed.\nInvestors are now pricing in a 0.75% rate hike in late July after that report but were willing to keep stock prices higher anyway. This was all good news. Even the so-called “meme stocks” like AMC Entertainment (NYSE:AMC), Bed Bath & Beyond (NASDAQ:BBBY), and GameStop (NYSE:GME) staged a short-term comeback last week.\nSo, considering all of that, here’s what we’re watching for this week.\nLooking Ahead\nWednesday, July 13\nThe Consumer Price Index (CPI) will be released again for the prior month and expectations are high. Investors expect annualized inflation to be reported as 14%, or 7.44% if you exclude food and energy prices. This report will likely trigger volatility.\nThursday and Friday, July 14-15\nThe big banks start reporting earnings, starting with JPMorgan Chase (NYSE:JPM) and Morgan Stanley (NYSE:MS), on Thursday morning and Citigroup (NYSE:C), U.S. Bancorp (NYSE:USB), and Wells Fargo (NYSE:WFC) on Friday morning.\nExpectations for profits are low enough that jumping that hurdle shouldn’t be difficult for the banks. This could set things up for a nice rally through the end of July.\nFriday, July 15\nMonthly retail sales will be released by the Census Bureau. So far, retail sales have been holding steady despite inflation, which is good. The U.S. economy is mostly consumption, so a negative report would spook traders. Expectations are for an increase of 0.9% in sales on a month-over-month basis. Considering the surprising jobs report, we are optimistic retail sales will look good.\nWhat to Do\nOver the last few weeks, we have recommended the tech sector for new entries, and we stand by that for this week as well. The Tech and Retail sectors performed the best last week, with average returns of 5.93% and 5.97%, respectively.\nHowever, the risk in these sectors is not evenly distributed. When the market rises, like it did last week, the smallest companies usually perform better, but experience more severe drops when the market declines. For example, over the last quarter, small-cap tech stocks have doubled the declines of large-cap tech stocks.\nSo, even though the “meme stocks” made a comeback last week, we recommend steering clear of the riskiest stocks until the uncertainty around the Fed’s rate hikes has receded. We don’t expect to get clarity like that until later this fall.\nThe bottom line: The market pulled off a neat trick last week by avoiding a selloff, despite rising expectations for rate hikes. There is a flood of quarterly profit reports starting this week, which is the biggest X-factor for traders right now. If profit growth rates are better than expected, we expect the S&P 500 to challenge its highs from May.\nThe post A More Positive Outlook Ahead of Q2 Earnings appeared first on InvestorPlace.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Even the so-called “meme stocks” like AMC Entertainment (NYSE:AMC), Bed Bath & Beyond (NASDAQ:BBBY), and GameStop (NYSE:GME) staged a short-term comeback last week. Here’s what happened… We started last week with a negative outlook; in our view, the market was in a no-win situation with the unemployment and labor report that would be released on Friday. If the jobs data from the Bureau of Labor Statistics (BLS) was good, investors would expect that to clear the way for an even-bigger-than-expected rate hike from the Federal Reserve and sell stocks.', 'news_luhn_summary': 'Even the so-called “meme stocks” like AMC Entertainment (NYSE:AMC), Bed Bath & Beyond (NASDAQ:BBBY), and GameStop (NYSE:GME) staged a short-term comeback last week. InvestorPlace - Stock Market News, Stock Advice & Trading Tips It’s hard to stay positive in a market like this, but things seem to be looking up – at least in the short term. If the jobs data from the Bureau of Labor Statistics (BLS) was good, investors would expect that to clear the way for an even-bigger-than-expected rate hike from the Federal Reserve and sell stocks.', 'news_article_title': 'A More Positive Outlook Ahead of Q2 Earnings', 'news_lexrank_summary': 'Even the so-called “meme stocks” like AMC Entertainment (NYSE:AMC), Bed Bath & Beyond (NASDAQ:BBBY), and GameStop (NYSE:GME) staged a short-term comeback last week. Here’s what happened… We started last week with a negative outlook; in our view, the market was in a no-win situation with the unemployment and labor report that would be released on Friday. Investors are now pricing in a 0.75% rate hike in late July after that report but were willing to keep stock prices higher anyway.', 'news_textrank_summary': 'Even the so-called “meme stocks” like AMC Entertainment (NYSE:AMC), Bed Bath & Beyond (NASDAQ:BBBY), and GameStop (NYSE:GME) staged a short-term comeback last week. Here’s what happened… We started last week with a negative outlook; in our view, the market was in a no-win situation with the unemployment and labor report that would be released on Friday. If the jobs data from the Bureau of Labor Statistics (BLS) was good, investors would expect that to clear the way for an even-bigger-than-expected rate hike from the Federal Reserve and sell stocks.'}, {'news_url': 'https://www.nasdaq.com/articles/amc-entertainment-has-another-record-weekend', 'news_author': None, 'news_article': "There's no denying that folks are coming back to the local multiplex this summer. Box office receipts hit another post-pandemic record over the weekend, shattering the previous high-water mark set just the week before. AMC Entertainment (NYSE: AMC) and its smaller rivals have been thriving with a busy slate of big clicks, and the numbers are impressive.\nDomestic theaters rang up $234.9 million in ticket sales over the weekend, the most since the debut of Star Wars: Episode IX -- The Rise of Skywalker helped drum up $243.2 million at the box office in the penultimate weekend of 2019. Go back to the summer of 2019 and there was just one weekend that was better than this past weekend. Audience are back, and now the trick is to keep folks coming. You have to like the industry's chances right now.\nImage source: Getty Images.\nHammer time\nDisney's (NYSE: DIS) Thor: Love and Thunder was the big draw this time around, generating $143 million in stateside ticket sales. The debut itself isn't a post-pandemic record. There are actually three movies that have rolled out in recent months -- Spider-Man: No Way Home, Doctor Strange in the Multiverse of Madness, and Jurassic World: Dominion -- with heartier opening weekends. The key difference now is that there are a lot of popular movies wooing filmgoers at the same time.\nThis is the ideal scenario for the industry. A movie with a big star isn't the same as one with a strong supporting cast, and that's where we find ourselves now. The breadth of successful films that have rolled out since Memorial Day weekend is giving different audiences a reason to rediscover the joys of enjoying a screening with a roomful of friends and strangers. Exhibitors are having the kind of summer they've been denied the two previous years.\nBut things could still be better. It's not as if 2019 was so hot. The actual number of domestic movie tickets sold peaked two decades ago. The trend has been problematic for some time. The big reason to get excited about AMC and its fellow multiplex operators is that they continue to improve their monetization. We're not just talking about seeing the price of admissions inch higher.\nAMC didn't hunker down when the pandemic shut down Hollywood productions and delayed the premiere of major releases. It introduced reserved seating, private screen rentals, and mobile ordering across most of its locations. AMC got creative, and it has made the industry stronger now than where it was before the COVID-19 crisis. Folks are spending more at the concession stand, and the AMC brand has gotten so powerful that it announced over the weekend that it will start delivering its signature popcorn through Uber Eats in Chicago and its home turf of Kansas City.\nThis is the summer that should silence critics in terms of AMC's business model. It was already a leader among movie theater stocks, but now it's the indisputable top dog. The rest of this summer won't pack the same kind of blockbuster power as the first half, but we've finally normalized release slates. The industry is no longer waiting for a big film every couple of months to briefly drive traffic. Exhibitors are back, and eventually their stocks should follow.\n10 stocks we like better than AMC Entertainment\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and AMC Entertainment wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nRick Munarriz has positions in Walt Disney. The Motley Fool has positions in and recommends Walt Disney. The Motley Fool recommends the following options: long January 2024 $145 calls on Walt Disney and short January 2024 $155 calls on Walt Disney. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'Folks are spending more at the concession stand, and the AMC brand has gotten so powerful that it announced over the weekend that it will start delivering its signature popcorn through Uber Eats in Chicago and its home turf of Kansas City. AMC Entertainment (NYSE: AMC) and its smaller rivals have been thriving with a busy slate of big clicks, and the numbers are impressive. The big reason to get excited about AMC and its fellow multiplex operators is that they continue to improve their monetization.', 'news_luhn_summary': "AMC Entertainment (NYSE: AMC) and its smaller rivals have been thriving with a busy slate of big clicks, and the numbers are impressive. The big reason to get excited about AMC and its fellow multiplex operators is that they continue to improve their monetization. AMC didn't hunker down when the pandemic shut down Hollywood productions and delayed the premiere of major releases.", 'news_article_title': 'AMC Entertainment Has Another Record Weekend', 'news_lexrank_summary': "AMC Entertainment (NYSE: AMC) and its smaller rivals have been thriving with a busy slate of big clicks, and the numbers are impressive. The big reason to get excited about AMC and its fellow multiplex operators is that they continue to improve their monetization. AMC didn't hunker down when the pandemic shut down Hollywood productions and delayed the premiere of major releases.", 'news_textrank_summary': 'AMC Entertainment (NYSE: AMC) and its smaller rivals have been thriving with a busy slate of big clicks, and the numbers are impressive. 10 stocks we like better than AMC Entertainment When our award-winning analyst team has a stock tip, it can pay to listen. The big reason to get excited about AMC and its fellow multiplex operators is that they continue to improve their monetization.'}, {'news_url': 'https://www.nasdaq.com/articles/pre-market-most-active-for-jul-11-2022-%3A-plrx-tqqq-twtr-sqqq-pg-dwac-nio-abnb-cnc-tsla-amc', 'news_author': None, 'news_article': 'The NASDAQ 100 Pre-Market Indicator is down -90.47 to 12,035.22. The total Pre-Market volume is currently 36,119,370 shares traded.\n\nThe following are the most active stocks for the pre-market session:\n\nPliant Therapeutics, Inc. (PLRX) is +4.72 at $13.60, with 6,401,795 shares traded. As reported by Zacks, the current mean recommendation for PLRX is in the "buy range".\n\nProShares UltraPro QQQ (TQQQ) is -0.6 at $27.29, with 3,287,581 shares traded. This represents a 28% increase from its 52 Week Low.\n\nTwitter, Inc. (TWTR) is -2.26 at $34.55, with 3,120,847 shares traded. TWTR\'s current last sale is 63.75% of the target price of $54.2.\n\nProShares UltraPro Short QQQ (SQQQ) is +1.11 at $51.15, with 2,006,561 shares traded. This represents a 81.71% increase from its 52 Week Low.\n\nProcter & Gamble Company (The) (PG) is -0.63 at $144.39, with 856,565 shares traded. As reported by Zacks, the current mean recommendation for PG is in the "buy range".\n\nDigital World Acquisition Corp. (DWAC) is +3.58 at $28.10, with 814,270 shares traded.\n\nNIO Inc. (NIO) is -0.76 at $21.84, with 754,784 shares traded. As reported by Zacks, the current mean recommendation for NIO is in the "buy range".\n\nAirbnb, Inc. (ABNB) is -2.24 at $95.11, with 740,671 shares traded. ABNB\'s current last sale is 54.66% of the target price of $174.\n\nCentene Corporation (CNC) is -0.01 at $88.00, with 689,099 shares traded. Over the last four weeks they have had 5 up revisions for the earnings forecast, for the fiscal quarter ending Jun 2022. The consensus EPS forecast is $1.69. As reported by Zacks, the current mean recommendation for CNC is in the "buy range".\n\nTesla, Inc. (TSLA) is +7.96 at $760.25, with 682,600 shares traded. TSLA\'s current last sale is 78.99% of the target price of $962.5.\n\nAMC Entertainment Holdings, Inc. (AMC) is +0.23 at $14.89, with 393,512 shares traded. AMC\'s current last sale is 297.8% of the target price of $5.\n\nAlibaba Group Holding Limited (BABA) is -4.85 at $116.05, with 372,228 shares traded. As reported by Zacks, the current mean recommendation for BABA is in the "buy range".\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "AMC Entertainment Holdings, Inc. (AMC) is +0.23 at $14.89, with 393,512 shares traded. AMC's current last sale is 297.8% of the target price of $5. ProShares UltraPro Short QQQ (SQQQ) is +1.11 at $51.15, with 2,006,561 shares traded.", 'news_luhn_summary': 'AMC Entertainment Holdings, Inc. (AMC) is +0.23 at $14.89, with 393,512 shares traded. AMC\'s current last sale is 297.8% of the target price of $5. As reported by Zacks, the current mean recommendation for PLRX is in the "buy range".', 'news_article_title': 'Pre-Market Most Active for Jul 11, 2022 : PLRX, TQQQ, TWTR, SQQQ, PG, DWAC, NIO, ABNB, CNC, TSLA, AMC, BABA', 'news_lexrank_summary': "AMC Entertainment Holdings, Inc. (AMC) is +0.23 at $14.89, with 393,512 shares traded. AMC's current last sale is 297.8% of the target price of $5. The NASDAQ 100 Pre-Market Indicator is down -90.47 to 12,035.22.", 'news_textrank_summary': "AMC Entertainment Holdings, Inc. (AMC) is +0.23 at $14.89, with 393,512 shares traded. AMC's current last sale is 297.8% of the target price of $5. The total Pre-Market volume is currently 36,119,370 shares traded."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 140.6999969482422, 'high': 149.89999389648438, 'open': 144.89999389648438, 'close': 149.5, 'ema_50': 138.89101882445382, 'rsi_14': 66.71270296136389, 'target': 156.0, 'volume': 3239440.0, 'ema_200': 197.73435906682542, 'adj_close': 149.5, 'rsi_lag_1': 68.66059708283369, 'rsi_lag_2': 60.0706738866432, 'rsi_lag_3': 54.37415863595057, 'rsi_lag_4': 58.48564070089243, 'rsi_lag_5': 56.99745628579677, 'macd_lag_1': 2.0495230190200004, 'macd_lag_2': 0.9602941767824404, 'macd_lag_3': -0.26065278642957423, 'macd_lag_4': 0.12949411523132426, 'macd_lag_5': 0.41176107931715933, 'macd_12_26_9': 3.110889596344265, 'macds_12_26_9': 0.45258373173814676}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 156.0, '2022-07-13': 151.39999389648438, '2022-07-14': 150.60000610351562, '2022-07-15': 153.6999969482422, '2022-07-18': 165.39999389648438, '2022-07-19': 163.60000610351562, '2022-07-20': 175.1999969482422, '2022-07-21': 170.0, '2022-07-22': 155.0, '2022-07-25': 149.10000610351562}, '1_month_later': {'2022-08-11': 254.6000061035156}, '3_months_later': {'2022-10-11': 61.20000076293945}, '6_months_later': {'2023-01-11': 49.20000076293945}, '12_months_later': {'2023-07-11': 43.900001525878906}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AMD
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{'date': '2022-07-11', 'ticker': 'AMD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/2-of-the-best-growth-stocks-to-buy-if-inflation-has-peaked', 'news_author': None, 'news_article': 'The stock market is having a rough year, as inflation recently hit a 40-year high, forcing the U.S. Federal Reserve to increase interest rates rapidly. But the core measure of inflation, the Consumer Price Index (CPI), is a lagging indicator and might not be the best representation of the real-time environment.\nSince March, the prices of key commodities have collapsed from their multi-year highs. Wheat is down 36%, and natural gas has fallen 42%. Both are key inputs in food and energy production, which heavily influence CPI data. In addition, five-year inflation expectations are close to their 2022 lows, implying that high inflation is perceived as a relatively short-term phenomenon.\nBut it could take months for commodity price drops to feed through to consumers because producers need to work through existing inventory -- which was significantly more expensive a few short months ago. Therefore, it\'s possible that inflation has already peaked, even though it might not show up in the CPI data until later this year.\nIf that\'s the case, it might be time for investors to load up on high-flying growth stocks, which have been crushed amid the inflation-driven tech sell-off. Here are two great picks available at a discount.\n1. Advanced Micro Devices\nAdvanced Micro Devices (NASDAQ: AMD) is at the pinnacle of the semiconductor industry. Its advanced computer chips are responsible for powering some of the most popular consumer products, from computers to game consoles to electric vehicles.\nIt\'s also a key player in the data center industry, serving the world\'s largest cloud computing companies, like Amazon and Alphabet\'s Google. The data center falls under AMD\'s enterprise, embedded, and semi-custom segment, which currently comprises 42% of the company\'s total revenue. Given the cloud services industry could exceed $1.5 trillion in annual value by 2030, it\'s reasonable to expect providers to invest heavily in hardware as the decade progresses. So, it could make up an even larger share of AMD\'s sales over time.\nAMD grew its total annual revenue at a compound annual rate of 30% between 2016 and 2021. According to analysts\' estimates, its revenue could hit $26.3 billion in 2022, which would be an accelerated growth rate of 60% compared to 2021. Remarkably, even as AMD grows larger, it\'s still picking up momentum. The company is also highly profitable, with $4.3 billion in non-GAAP (generally accepted accounting principles) net income over the last 12 months.\nAMD stock has lost 51% of its value from its all-time high amid the broader bear market in the Nasdaq-100 technology index. Investors have been concerned that high inflation and rising interest rates could dampen consumer demand for big-ticket electronics and, therefore, the chips that power them. If inflation has, in fact, peaked, the current discount in AMD stock presents a great opportunity.\n2. Microsoft\nMicrosoft (NASDAQ: MSFT) provides investors a perfect blend of exposure to consumers and businesses. The company is a household name, with its Windows operating system and Office 365 document suite in the homes and workplaces of billions of people globally. But the company has grown to become far more than a software provider.\nDespite struggling in the hardware business against mammoth competitors like Apple in the past, Microsoft has built a pipeline of products that continue to grow in popularity. Its Xbox console is one of the world\'s leading gaming platforms, and its Surface line of notebook computers and devices has grown to become a meaningful contributor to overall revenue. Both brands fall under Microsoft\'s "more personal computing" segment, which has generated $59 billion in sales over the last 12 months.\nBut the largest of Microsoft\'s three business units is actually intelligent cloud, led by the company\'s flagship Azure cloud services platform. Azure serves at least 95% of the Fortune 500 companies, providing them hundreds of services and solutions ranging from simple data storage to application development tools to advanced artificial intelligence technologies. Over the past year, intelligent cloud has delivered $71 billion in revenue.\nMicrosoft\'s diverse mix of revenue streams makes it a great investment in any economic environment, but if inflation begins to fall, it could benefit from a strong uplift in both consumer and business spending. Shares in the company have fallen 23% from their all-time high, but the long-term trend is undeniable, with a 270% gain over the last five years alone. Look for Microsoft to continue rising higher as the high-inflation picture resolves.\n10 stocks we like better than Advanced Micro Devices\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and Advanced Micro Devices wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nSuzanne Frey, an executive at Alphabet, is a member of The Motley Fool\'s board of directors. John Mackey, CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool\'s board of directors. Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet (A shares), Alphabet (C shares), Amazon, Apple, and Microsoft. The Motley Fool recommends the following options: long March 2023 $120 calls on Apple and short March 2023 $130 calls on Apple. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Advanced Micro Devices Advanced Micro Devices (NASDAQ: AMD) is at the pinnacle of the semiconductor industry. The data center falls under AMD's enterprise, embedded, and semi-custom segment, which currently comprises 42% of the company's total revenue. So, it could make up an even larger share of AMD's sales over time.", 'news_luhn_summary': "Advanced Micro Devices Advanced Micro Devices (NASDAQ: AMD) is at the pinnacle of the semiconductor industry. The data center falls under AMD's enterprise, embedded, and semi-custom segment, which currently comprises 42% of the company's total revenue. So, it could make up an even larger share of AMD's sales over time.", 'news_article_title': '2 of the Best Growth Stocks to Buy if Inflation Has Peaked', 'news_lexrank_summary': "Advanced Micro Devices Advanced Micro Devices (NASDAQ: AMD) is at the pinnacle of the semiconductor industry. The data center falls under AMD's enterprise, embedded, and semi-custom segment, which currently comprises 42% of the company's total revenue. So, it could make up an even larger share of AMD's sales over time.", 'news_textrank_summary': "Advanced Micro Devices Advanced Micro Devices (NASDAQ: AMD) is at the pinnacle of the semiconductor industry. The data center falls under AMD's enterprise, embedded, and semi-custom segment, which currently comprises 42% of the company's total revenue. So, it could make up an even larger share of AMD's sales over time."}, {'news_url': 'https://www.nasdaq.com/articles/noteworthy-etf-outflows%3A-spyg-amd-low-dhr', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the SPDR Portfolio S&P 500 Growth ETF (Symbol: SPYG) where we have detected an approximate $140.0 million dollar outflow -- that's a 1.1% decrease week over week (from 226,800,000 to 224,250,000). Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average:\nLooking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average ».\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs experienced notable outflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed).", 'news_article_title': 'Noteworthy ETF Outflows: SPYG, AMD, LOW, DHR', 'news_lexrank_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the SPDR Portfolio S&P 500 Growth ETF (Symbol: SPYG) where we have detected an approximate $140.0 million dollar outflow -- that's a 1.1% decrease week over week (from 226,800,000 to 224,250,000). For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02.", 'news_textrank_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the SPDR Portfolio S&P 500 Growth ETF (Symbol: SPYG) where we have detected an approximate $140.0 million dollar outflow -- that's a 1.1% decrease week over week (from 226,800,000 to 224,250,000). For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02."}, {'news_url': 'https://www.nasdaq.com/articles/should-first-trust-nasdaq100-equal-weighted-etf-qqew-be-on-your-investing-radar-2', 'news_author': None, 'news_article': "Launched on 04/19/2006, the First Trust NASDAQ100 Equal Weighted ETF (QQEW) is a passively managed exchange traded fund designed to provide a broad exposure to the Large Cap Growth segment of the US equity market.\nThe fund is sponsored by First Trust Advisors. It has amassed assets over $1.02 billion, making it one of the average sized ETFs attempting to match the Large Cap Growth segment of the US equity market.\nWhy Large Cap Growth\nCompanies that find themselves in the large cap category typically have a market capitalization above $10 billion. Considered a more stable option, large cap companies boast more predictable cash flows and are less volatile than their mid and small cap counterparts.\nWhile growth stocks do boast higher than average sales and earnings growth rates, and they are expected to grow faster than the wider market, investors should note these kinds of stocks have higher valuations. Something to keep in mind is the higher level of volatility that is affiliated with growth stocks. They are likely to outperform value stocks in strong bull markets but over the longer-term, value stocks have delivered better returns than growth stocks in almost all markets.\nCosts\nWhen considering an ETF's total return, expense ratios are an important factor, and cheaper funds can significantly outperform their more expensive counterparts in the long term if all other factors remain equal.\nAnnual operating expenses for this ETF are 0.57%, putting it on par with most peer products in the space.\nIt has a 12-month trailing dividend yield of 0.47%.\nSector Exposure and Top Holdings\nWhile ETFs offer diversified exposure, which minimizes single stock risk, a deep look into a fund's holdings is a valuable exercise. And, most ETFs are very transparent products that disclose their holdings on a daily basis.\nThis ETF has heaviest allocation to the Information Technology sector--about 40.20% of the portfolio. Consumer Discretionary and Healthcare round out the top three.\nLooking at individual holdings, Splunk Inc. (SPLK) accounts for about 1.04% of total assets, followed by Advanced Micro Devices, Inc. (AMD) and Csx Corporation (CSX).\nThe top 10 holdings account for about 10.14% of total assets under management.\nPerformance and Risk\nQQEW seeks to match the performance of the NASDAQ-100 Equal Weighted Index before fees and expenses. The NASDAQ-100 Equal Weighted Index is the equal-weighted version of the NASDAQ-100 Index which includes 100 of the largest non-financial securities listed on NASDAQ based on market capitalization.\nThe ETF has lost about -22.33% so far this year and is down about -17.12% in the last one year (as of 07/11/2022). In the past 52-week period, it has traded between $84.27 and $120.91.\nThe ETF has a beta of 1.05 and standard deviation of 26.45% for the trailing three-year period, making it a medium risk choice in the space. With about 103 holdings, it effectively diversifies company-specific risk.\nAlternatives\nFirst Trust NASDAQ100 Equal Weighted ETF carries a Zacks ETF Rank of 3 (Hold), which is based on expected asset class return, expense ratio, and momentum, among other factors. Thus, QQEW is a reasonable option for those seeking exposure to the Style Box - Large Cap Growth area of the market. Investors might also want to consider some other ETF options in the space.\nThe Vanguard Growth ETF (VUG) and the Invesco QQQ (QQQ) track a similar index. While Vanguard Growth ETF has $69.99 billion in assets, Invesco QQQ has $161.90 billion. VUG has an expense ratio of 0.04% and QQQ charges 0.20%.\nBottom-Line\nAn increasingly popular option among retail and institutional investors, passively managed ETFs offer low costs, transparency, flexibility, and tax efficiency; they are also excellent vehicles for long term investors.\nTo learn more about this product and other ETFs, screen for products that match your investment objectives and read articles on latest developments in the ETF investing universe, please visit Zacks ETF Center.\n\nWant key ETF info delivered straight to your inbox?\nZacks’ free Fund Newsletter will brief you on top news and analysis, as well as top-performing ETFs, each week.\nGet it free >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nFirst Trust NASDAQ100 Equal Weighted ETF (QQEW): ETF Research Reports\n \nAdvanced Micro Devices, Inc. (AMD): Free Stock Analysis Report\n \nCSX Corporation (CSX): Free Stock Analysis Report\n \nInvesco QQQ (QQQ): ETF Research Reports\n \nSplunk Inc. (SPLK): Free Stock Analysis Report\n \nVanguard Growth ETF (VUG): ETF Research Reports\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'Looking at individual holdings, Splunk Inc. (SPLK) accounts for about 1.04% of total assets, followed by Advanced Micro Devices, Inc. (AMD) and Csx Corporation (CSX). Advanced Micro Devices, Inc. (AMD): Free Stock Analysis Report Launched on 04/19/2006, the First Trust NASDAQ100 Equal Weighted ETF (QQEW) is a passively managed exchange traded fund designed to provide a broad exposure to the Large Cap Growth segment of the US equity market.', 'news_luhn_summary': 'Looking at individual holdings, Splunk Inc. (SPLK) accounts for about 1.04% of total assets, followed by Advanced Micro Devices, Inc. (AMD) and Csx Corporation (CSX). Advanced Micro Devices, Inc. (AMD): Free Stock Analysis Report Alternatives First Trust NASDAQ100 Equal Weighted ETF carries a Zacks ETF Rank of 3 (Hold), which is based on expected asset class return, expense ratio, and momentum, among other factors.', 'news_article_title': 'Should First Trust NASDAQ100 Equal Weighted ETF (QQEW) Be on Your Investing Radar?', 'news_lexrank_summary': 'Looking at individual holdings, Splunk Inc. (SPLK) accounts for about 1.04% of total assets, followed by Advanced Micro Devices, Inc. (AMD) and Csx Corporation (CSX). Advanced Micro Devices, Inc. (AMD): Free Stock Analysis Report Launched on 04/19/2006, the First Trust NASDAQ100 Equal Weighted ETF (QQEW) is a passively managed exchange traded fund designed to provide a broad exposure to the Large Cap Growth segment of the US equity market.', 'news_textrank_summary': 'Looking at individual holdings, Splunk Inc. (SPLK) accounts for about 1.04% of total assets, followed by Advanced Micro Devices, Inc. (AMD) and Csx Corporation (CSX). Advanced Micro Devices, Inc. (AMD): Free Stock Analysis Report Alternatives First Trust NASDAQ100 Equal Weighted ETF carries a Zacks ETF Rank of 3 (Hold), which is based on expected asset class return, expense ratio, and momentum, among other factors.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 75.83999633789062, 'high': 78.29000091552734, 'open': 77.8499984741211, 'close': 76.94999694824219, 'ema_50': 89.69448483916145, 'rsi_14': 42.22745395217665, 'target': 76.36000061035156, 'volume': 76150300.0, 'ema_200': 103.27378247093753, 'adj_close': 76.94999694824219, 'rsi_lag_1': 45.143878524717174, 'rsi_lag_2': 35.71429194236016, 'rsi_lag_3': 32.55396604829569, 'rsi_lag_4': 32.249328781275395, 'rsi_lag_5': 23.23463399873752, 'macd_lag_1': -4.7930380340843755, 'macd_lag_2': -5.101822680309567, 'macd_lag_3': -5.416645401319144, 'macd_lag_4': -5.337503820574625, 'macd_lag_5': -5.1435810829446496, 'macd_12_26_9': -4.687944338575377, 'macds_12_26_9': -4.593794804346936}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 76.36000061035156, '2022-07-13': 77.5199966430664, '2022-07-14': 78.5999984741211, '2022-07-15': 81.11000061035156, '2022-07-18': 81.43000030517578, '2022-07-19': 85.87999725341797, '2022-07-20': 89.43000030517578, '2022-07-21': 91.08999633789062, '2022-07-22': 88.0999984741211, '2022-07-25': 87.54000091552734}, '1_month_later': {'2022-08-11': 98.12000274658205}, '3_months_later': {'2022-10-11': 57.630001068115234}, '6_months_later': {'2023-01-11': 69.05999755859375}, '12_months_later': {'2023-07-11': 111.31999969482422}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AME
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{'date': '2022-07-11', 'ticker': 'AME', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 109.8499984741211, 'high': 112.63999938964844, 'open': 110.27999877929688, 'close': 111.93000030517578, 'ema_50': 117.06536175307164, 'rsi_14': 65.03452863704919, 'target': 110.26000213623048, 'volume': 945700.0, 'ema_200': 126.28081837484959, 'adj_close': 110.81900024414062, 'rsi_lag_1': 62.409619284160854, 'rsi_lag_2': 52.88413755501032, 'rsi_lag_3': 52.56937420118714, 'rsi_lag_4': 49.179466467416546, 'rsi_lag_5': 41.14260479266496, 'macd_lag_1': -1.7640028476346714, 'macd_lag_2': -1.9451103466794848, 'macd_lag_3': -2.2559046595583396, 'macd_lag_4': -2.510831859936957, 'macd_lag_5': -2.7039819150526654, 'macd_12_26_9': -1.6355110388101792, 'macds_12_26_9': -2.2729126330381346}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 110.26000213623048, '2022-07-13': 109.58000183105467, '2022-07-14': 109.7300033569336, '2022-07-15': 111.6999969482422, '2022-07-18': 109.0999984741211, '2022-07-19': 112.9000015258789, '2022-07-20': 113.81999969482422, '2022-07-21': 115.62999725341795, '2022-07-22': 115.33000183105467, '2022-07-25': 115.5}, '1_month_later': {'2022-08-11': 127.18000030517578}, '3_months_later': {'2022-10-11': 115.05999755859376}, '6_months_later': {'2023-01-11': 145.47999572753906}, '12_months_later': {'2023-07-11': 157.55999755859375}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMED
|
{'date': '2022-07-11', 'ticker': 'AMED', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 118.0, 'high': 120.98999786376952, 'open': 119.5199966430664, 'close': 120.0, 'ema_50': 120.76511819142044, 'rsi_14': 48.681421919285256, 'target': 121.94000244140624, 'volume': 662600.0, 'ema_200': 150.18046235172227, 'adj_close': 120.0, 'rsi_lag_1': 53.77947296340299, 'rsi_lag_2': 51.922052878382736, 'rsi_lag_3': 52.21830648695865, 'rsi_lag_4': 53.479985704172655, 'rsi_lag_5': 42.19906097408931, 'macd_lag_1': -1.0309218163419729, 'macd_lag_2': -1.6810696944605326, 'macd_lag_3': -2.3123338838298224, 'macd_lag_4': -2.606895071371369, 'macd_lag_5': -3.126180025414726, 'macd_12_26_9': -0.5097983013904468, 'macds_12_26_9': -1.9590196222265428}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 121.94000244140624, '2022-07-13': 121.1999969482422, '2022-07-14': 121.58000183105467, '2022-07-15': 125.73999786376952, '2022-07-18': 122.98999786376952, '2022-07-19': 125.37000274658205, '2022-07-20': 123.87999725341795, '2022-07-21': 129.61000061035156, '2022-07-22': 131.13999938964844, '2022-07-25': 128.17999267578125}, '1_month_later': {'2022-08-11': 122.4499969482422}, '3_months_later': {'2022-10-11': 93.19000244140624}, '6_months_later': {'2023-01-11': 81.48999786376953}, '12_months_later': {'2023-07-11': 91.0}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMEH
|
{'date': '2022-07-11', 'ticker': 'AMEH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.720001220703125, 'high': 45.77999877929688, 'open': 45.43000030517578, 'close': 44.709999084472656, 'ema_50': 39.366133575730565, 'rsi_14': 80.09649018060907, 'target': 45.2599983215332, 'volume': 136400.0, 'ema_200': 49.350872479069004, 'adj_close': 44.709999084472656, 'rsi_lag_1': 85.81205914085061, 'rsi_lag_2': 80.45508405242828, 'rsi_lag_3': 77.50168830463471, 'rsi_lag_4': 76.80056237730687, 'rsi_lag_5': 63.16999649491763, 'macd_lag_1': 1.9830758519636547, 'macd_lag_2': 1.6737844367802168, 'macd_lag_3': 1.2027426757221633, 'macd_lag_4': 1.0004640409519823, 'macd_lag_5': 0.7990035478398454, 'macd_12_26_9': 2.121431472904412, 'macds_12_26_9': 1.3040650561199247}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 45.2599983215332, '2022-07-13': 45.970001220703125, '2022-07-14': 44.34000015258789, '2022-07-15': 46.52999877929688, '2022-07-18': 43.900001525878906, '2022-07-19': 47.81999969482422, '2022-07-20': 49.18999862670898, '2022-07-21': 52.52000045776367, '2022-07-22': 50.970001220703125, '2022-07-25': 51.060001373291016}, '1_month_later': {'2022-08-11': 49.43000030517578}, '3_months_later': {'2022-10-11': 33.540000915527344}, '6_months_later': {'2023-01-11': 33.29999923706055}, '12_months_later': {'2023-07-11': 32.06999969482422}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMG
|
{'date': '2022-07-11', 'ticker': 'AMG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 115.08000183105467, 'high': 118.2300033569336, 'open': 117.37999725341795, 'close': 115.11000061035156, 'ema_50': 125.21311832413632, 'rsi_14': 49.941105835386146, 'target': 114.95999908447266, 'volume': 150900.0, 'ema_200': 138.4991983418281, 'adj_close': 115.06168365478516, 'rsi_lag_1': 59.890474932253525, 'rsi_lag_2': 53.712798444053576, 'rsi_lag_3': 51.277377809654595, 'rsi_lag_4': 52.27905821401321, 'rsi_lag_5': 38.526763513158386, 'macd_lag_1': -2.041424129120813, 'macd_lag_2': -2.143223091637765, 'macd_lag_3': -2.561690460317962, 'macd_lag_4': -2.668582217757745, 'macd_lag_5': -2.884307915599024, 'macd_12_26_9': -2.3013662209743018, 'macds_12_26_9': -2.4303705715604496}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 114.95999908447266, '2022-07-13': 113.08999633789062, '2022-07-14': 112.87999725341795, '2022-07-15': 116.58999633789062, '2022-07-18': 114.7699966430664, '2022-07-19': 120.4499969482422, '2022-07-20': 121.91000366210938, '2022-07-21': 121.56999969482422, '2022-07-22': 120.70999908447266, '2022-07-25': 121.54000091552734}, '1_month_later': {'2022-08-11': 136.27000427246094}, '3_months_later': {'2022-10-11': 114.52999877929688}, '6_months_later': {'2023-01-11': 170.05999755859375}, '12_months_later': {'2023-07-11': 153.47999572753906}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMGN
|
{'date': '2022-07-11', 'ticker': 'AMGN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/stock-split-watch%3A-could-regeneron-be-next', 'news_author': None, 'news_article': "Stock splits are big news these days. That's because some of the most popular companies have announced or completed them this year. For example, Amazon split its stock in June. And Tesla shareholders are set to vote on a potential split during their meeting in August.\nIn this year for top-name splits, it's natural to wonder what other companies may be next. One I've thought about from time to time is Regeneron (NASDAQ: REGN). The biotech is one of the highest-priced stocks in its industry. Could it be next to launch a split? Let's take a closer look.\nA coronavirus treatment\nFirst, a little bit about Regeneron's business. The company made headlines during the earlier stages of the coronavirus pandemic as it won authorization for a monoclonal antibody treatment. In fact, that treatment -- REGEN-COV -- generated more than $6 billion in revenue last year.\nThe bad news now is REGEN-COV didn't hold up against the omicron variant. As a result, the U.S. Food and Drug Administration (FDA) halted use of the treatment. Regeneron is working on new antibody candidates that may be effective against omicron and other variants. It's started a clinical trial. But, in the near term, Regeneron can't count on its coronavirus program for revenue.\nThe good news is it doesn't have to. Regeneron sells blockbuster eye drug Eylea, shares in profits from blockbuster eczema drug Dupixent with partner Sanofi, and generates sales from five other products. Excluding REGEN-COV, revenue in the first quarter climbed 25%.\nAnd Regeneron has about 40 candidates in the pipeline -- 12 of these are in phase 3 trials. If even a couple make it to commercialization, we'll be looking at more revenue growth ahead.\nNow, let's talk about the idea of a stock split. Companies usually do this when their shares have climbed quite a bit. The idea is they issue more stock to current investors in order to lower the price of each individual share. That makes the shares more accessible to a wider group of investors. Stock splits usually are a sign that business is doing well.\nMore than $600 a share\nRegeneron stock has indeed climbed to a high level. Over the past decade, it's increased about 400% to more than $600 a share. It's the highest-priced biotech stock. But it isn't the most expensive in relation to earnings. It trades at 14 times forward earnings estimates. That's the same as fellow big biotech's Biogen and Amgen.\nBut while profit has been on the decline at Biogen and Amgen, it's been on the rise at Regeneron. Amgen and Biogen have both suffered from biosimilar and generic competition in recent years.\nREGN Net Income (Annual) data by YCharts\nSo, even at this high per-share price, Regeneron is actually reasonably priced. Also, Regeneron has never split its stock in its 31 years as a publicly traded company. Does this mean we should forget about a potential stock split? Not necessarily.\nAmazon split its stock more than 20 years ago -- and then only launched another such operation this year. So, a split can happen at any time -- after many years or even as a first-time event for a company. And, yes, Regeneron isn't expensive at these levels. But the company still may see a split as a way of making it easier for more investors to come on board. Investors can get in on a high-priced stock by buying fractional shares. But some brokerages don't offer them.\nAll of this means I'll keep Regeneron on my stock split watch list. But even if the company doesn't go for such an operation, it still may please investors with its revenue and profit growth and future prospects.\n10 stocks we like better than Regeneron Pharmaceuticals\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and Regeneron Pharmaceuticals wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nJohn Mackey, CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Adria Cimino has positions in Amazon and Tesla. The Motley Fool has positions in and recommends Amazon and Tesla. The Motley Fool recommends Amgen and Biogen. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'The company made headlines during the earlier stages of the coronavirus pandemic as it won authorization for a monoclonal antibody treatment. The idea is they issue more stock to current investors in order to lower the price of each individual share. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.', 'news_luhn_summary': 'Regeneron sells blockbuster eye drug Eylea, shares in profits from blockbuster eczema drug Dupixent with partner Sanofi, and generates sales from five other products. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market. The Motley Fool recommends Amgen and Biogen.', 'news_article_title': 'Stock Split Watch: Could Regeneron Be Next?', 'news_lexrank_summary': 'For example, Amazon split its stock in June. Also, Regeneron has never split its stock in its 31 years as a publicly traded company. Amazon split its stock more than 20 years ago -- and then only launched another such operation this year.', 'news_textrank_summary': "Also, Regeneron has never split its stock in its 31 years as a publicly traded company. Amazon split its stock more than 20 years ago -- and then only launched another such operation this year. See the 10 stocks *Stock Advisor returns as of June 2, 2022 John Mackey, CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 246.9900054931641, 'high': 250.1100006103516, 'open': 249.27999877929688, 'close': 247.77999877929688, 'ema_50': 243.55151173572744, 'rsi_14': 75.70869367756593, 'target': 246.97000122070312, 'volume': 1805000.0, 'ema_200': 235.68260840088843, 'adj_close': 236.018798828125, 'rsi_lag_1': 80.94742805877767, 'rsi_lag_2': 68.2041996445243, 'rsi_lag_3': 65.67117987619689, 'rsi_lag_4': 66.56687021893299, 'rsi_lag_5': 58.62393314248734, 'macd_lag_1': 0.8779996529191294, 'macd_lag_2': 0.5931240552097279, 'macd_lag_3': 0.32881896656897425, 'macd_lag_4': 0.20763200930090875, 'macd_lag_5': -0.1007571921877286, 'macd_12_26_9': 1.0353468785818905, 'macds_12_26_9': 0.18759311189958341}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 246.97000122070312, '2022-07-13': 247.08999633789065, '2022-07-14': 245.58999633789065, '2022-07-15': 248.69000244140625, '2022-07-18': 243.83999633789065, '2022-07-19': 247.32000732421875, '2022-07-20': 246.6300048828125, '2022-07-21': 245.77999877929688, '2022-07-22': 245.9499969482422, '2022-07-25': 248.72000122070312}, '1_month_later': {'2022-08-11': 248.3500061035156}, '3_months_later': {'2022-10-11': 245.44000244140625}, '6_months_later': {'2023-01-11': 272.9100036621094}, '12_months_later': {'2023-07-11': 223.8600006103516}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AMRK
|
{'date': '2022-07-11', 'ticker': 'AMRK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.1200008392334, 'high': 28.82999992370605, 'open': 27.1200008392334, 'close': 28.63999938964844, 'ema_50': 33.191780760388895, 'rsi_14': 41.12902786002796, 'target': 27.940000534057617, 'volume': 206300.0, 'ema_200': 32.661327444554935, 'adj_close': 26.126033782958984, 'rsi_lag_1': 37.47160273075822, 'rsi_lag_2': 37.98924682389003, 'rsi_lag_3': 35.100401631036235, 'rsi_lag_4': 39.26281561434376, 'rsi_lag_5': 43.51687479249527, 'macd_lag_1': -1.5817316150945544, 'macd_lag_2': -1.4708706368411804, 'macd_lag_3': -1.356849914180522, 'macd_lag_4': -1.0622730679178716, 'macd_lag_5': -0.7217437395183524, 'macd_12_26_9': -1.5979135149001422, 'macds_12_26_9': -1.2618941265868002}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 27.940000534057617, '2022-07-13': 28.13999938964844, '2022-07-14': 27.940000534057617, '2022-07-15': 28.690000534057617, '2022-07-18': 29.299999237060547, '2022-07-19': 30.63999938964844, '2022-07-20': 30.190000534057617, '2022-07-21': 29.520000457763672, '2022-07-22': 28.26000022888184, '2022-07-25': 28.799999237060547}, '1_month_later': {'2022-08-11': 35.5}, '3_months_later': {'2022-10-11': 27.31999969482422}, '6_months_later': {'2023-01-11': 38.060001373291016}, '12_months_later': {'2023-07-11': 38.27000045776367}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMRC
|
{'date': '2022-07-11', 'ticker': 'AMRC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.34000015258789, 'high': 47.09000015258789, 'open': 47.09000015258789, 'close': 44.38999938964844, 'ema_50': 51.549260310836225, 'rsi_14': 48.57588816013219, 'target': 44.470001220703125, 'volume': 206800.0, 'ema_200': 59.97214007899551, 'adj_close': 44.38999938964844, 'rsi_lag_1': 55.780848041371215, 'rsi_lag_2': 42.911546299185694, 'rsi_lag_3': 39.830513088734435, 'rsi_lag_4': 42.36730892381105, 'rsi_lag_5': 37.2265753532491, 'macd_lag_1': -2.57184284912654, 'macd_lag_2': -2.9504106783944124, 'macd_lag_3': -3.106613004665981, 'macd_lag_4': -2.942106246145812, 'macd_lag_5': -2.8135594466658063, 'macd_12_26_9': -2.4796675901514575, 'macds_12_26_9': -2.7433980656942745}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 44.470001220703125, '2022-07-13': 45.56999969482422, '2022-07-14': 43.65999984741211, '2022-07-15': 43.720001220703125, '2022-07-18': 44.43999862670898, '2022-07-19': 46.06999969482422, '2022-07-20': 47.02999877929688, '2022-07-21': 47.29999923706055, '2022-07-22': 45.38999938964844, '2022-07-25': 46.5}, '1_month_later': {'2022-08-11': 69.72000122070312}, '3_months_later': {'2022-10-11': 62.5}, '6_months_later': {'2023-01-11': 59.02999877929688}, '12_months_later': {'2023-07-11': 52.130001068115234}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AMPY
|
{'date': '2022-07-11', 'ticker': 'AMPY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.940000057220459, 'high': 6.210000038146973, 'open': 6.130000114440918, 'close': 6.139999866485596, 'ema_50': 7.1944726814495965, 'rsi_14': 37.4707267275879, 'target': 5.860000133514404, 'volume': 322900.0, 'ema_200': 5.63284212608088, 'adj_close': 6.139999866485596, 'rsi_lag_1': 31.311155402316558, 'rsi_lag_2': 31.809151386311555, 'rsi_lag_3': 26.865668758582316, 'rsi_lag_4': 26.415091887629572, 'rsi_lag_5': 24.371372647472285, 'macd_lag_1': -0.48513357153510306, 'macd_lag_2': -0.4779985126507409, 'macd_lag_3': -0.4751752525974018, 'macd_lag_4': -0.4229146185316166, 'macd_lag_5': -0.3765323108133405, 'macd_12_26_9': -0.4955655091744342, 'macds_12_26_9': -0.37669018622076444}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 5.860000133514404, '2022-07-13': 6.079999923706055, '2022-07-14': 5.71999979019165, '2022-07-15': 6.039999961853027, '2022-07-18': 6.269999980926514, '2022-07-19': 6.329999923706055, '2022-07-20': 6.380000114440918, '2022-07-21': 6.050000190734863, '2022-07-22': 5.809999942779541, '2022-07-25': 6.489999771118164}, '1_month_later': {'2022-08-11': 7.119999885559082}, '3_months_later': {'2022-10-11': 8.729999542236328}, '6_months_later': {'2023-01-11': 8.640000343322754}, '12_months_later': {'2023-07-11': 6.849999904632568}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ALT
|
{'date': '2022-07-11', 'ticker': 'ALT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.81999969482422, 'high': 12.5, 'open': 12.5, 'close': 12.350000381469728, 'ema_50': 8.44434066530838, 'rsi_14': 74.66666610152635, 'target': 11.350000381469728, 'volume': 757000.0, 'ema_200': 8.459577110528077, 'adj_close': 12.350000381469728, 'rsi_lag_1': 82.86066290120169, 'rsi_lag_2': 73.9273944359137, 'rsi_lag_3': 64.62053501341796, 'rsi_lag_4': 67.24738899800946, 'rsi_lag_5': 66.22754625063773, 'macd_lag_1': 1.614924053959447, 'macd_lag_2': 1.607942712009054, 'macd_lag_3': 1.5756437233813294, 'macd_lag_4': 1.6061909548106605, 'macd_lag_5': 1.5749811851537032, 'macd_12_26_9': 1.5764630322085704, 'macds_12_26_9': 1.5209712143768566}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 11.350000381469728, '2022-07-13': 11.420000076293944, '2022-07-14': 11.300000190734863, '2022-07-15': 11.329999923706056, '2022-07-18': 10.670000076293944, '2022-07-19': 11.25, '2022-07-20': 12.460000038146973, '2022-07-21': 13.119999885559082, '2022-07-22': 13.079999923706056, '2022-07-25': 12.289999961853027}, '1_month_later': {'2022-08-11': 13.770000457763672}, '3_months_later': {'2022-10-11': 10.0}, '6_months_later': {'2023-01-11': 15.56999969482422}, '12_months_later': {'2023-07-11': 3.380000114440918}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMOM
|
{'date': '2022-07-11', 'ticker': 'AMOM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.799999237060547, 'high': 24.799999237060547, 'open': 24.799999237060547, 'close': 24.799999237060547, 'ema_50': 26.224748944366254, 'rsi_14': 57.595191885490635, 'target': 24.53499984741211, 'volume': 1100.0, 'ema_200': 29.866302791318585, 'adj_close': 24.54742431640625, 'rsi_lag_1': 52.079706396127605, 'rsi_lag_2': 41.905080093681676, 'rsi_lag_3': 38.12765567860696, 'rsi_lag_4': 37.88449265905596, 'rsi_lag_5': 33.982233357842716, 'macd_lag_1': -0.5889001096443884, 'macd_lag_2': -0.6457933217790135, 'macd_lag_3': -0.701889149841044, 'macd_lag_4': -0.7162383448787502, 'macd_lag_5': -0.7210807021820465, 'macd_12_26_9': -0.5476659337164804, 'macds_12_26_9': -0.6456494113089537}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 24.53499984741211, '2022-07-13': 24.520999908447266, '2022-07-14': 24.40900039672852, '2022-07-15': 24.78400039672852, '2022-07-18': 24.84499931335449, '2022-07-19': 25.417999267578125, '2022-07-20': 25.51700019836425, '2022-07-21': 25.49399948120117, '2022-07-22': 25.239999771118164, '2022-07-25': 25.643999099731445}, '1_month_later': {'2022-08-11': 26.90399932861328}, '3_months_later': {'2022-10-11': 24.97800064086914}, '6_months_later': {'2023-01-11': 27.15399932861328}, '12_months_later': {'2023-07-11': 31.516000747680664}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMNA
|
{'date': '2022-07-11', 'ticker': 'AMNA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.487998962402344, 'high': 35.487998962402344, 'open': 35.487998962402344, 'close': 35.487998962402344, 'ema_50': 37.429319816514074, 'rsi_14': 55.413061044110556, 'target': 34.99700164794922, 'volume': 0.0, 'ema_200': 36.0584430875806, 'adj_close': 32.49616622924805, 'rsi_lag_1': 52.47976531120088, 'rsi_lag_2': 43.70603206585497, 'rsi_lag_3': 35.14776419950594, 'rsi_lag_4': 35.46956432510086, 'rsi_lag_5': 32.29076527321074, 'macd_lag_1': -0.9799265502763248, 'macd_lag_2': -1.0633077051471105, 'macd_lag_3': -1.138586153648518, 'macd_lag_4': -1.0884927620960596, 'macd_lag_5': -1.076941140491293, 'macd_12_26_9': -0.9264067001507286, 'macds_12_26_9': -1.0146897197633105}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 34.99700164794922, '2022-07-13': 34.643001556396484, '2022-07-14': 34.417999267578125, '2022-07-15': 34.77399826049805, '2022-07-18': 35.513999938964844, '2022-07-19': 36.3380012512207, '2022-07-20': 36.50899887084961, '2022-07-21': 36.47800064086914, '2022-07-22': 36.1879997253418, '2022-07-25': 37.30400085449219}, '1_month_later': {'2022-08-11': 39.03799819946289}, '3_months_later': {'2022-10-11': 35.507999420166016}, '6_months_later': {'2023-01-11': 38.14799880981445}, '12_months_later': {'2023-07-11': 37.53499984741211}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMN
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{'date': '2022-07-11', 'ticker': 'AMN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/heres-why-you-should-hold-on-to-conmed-cnmd-stock-now-1', 'news_author': None, 'news_article': 'CONMED Corporation CNMD is well-poised for growth, courtesy of a robust product portfolio and strength in the General Surgery business. However, data security threats remain a concern.\nShares of this currently Zacks Rank #3 (Hold) player have declined 30.5% compared with the industry’s decrease of 10.5% over the past year. The S&P 500 Index has lost 11.3% in the same time frame.\nCONMED, with a market capitalization of $2.82 billion, is a major medical products manufacturer specializing in surgical instruments and devices for minimally invasive procedures and monitoring. CNMD anticipates earnings to improve 12.3% over the next five years and has a trailing four-quarter earnings surprise of 8.31%, on average.\nKey Catalysts\nCONMED offers a broad line of surgical products. CNMD’s product portfolio consists of several new devices in the Orthopedic, Laparoscopic, Robotic, Open Surgery, Gastroenterology, Pulmonary and Cardiology sections. Innovative products like Hi-Fi Tape and Hi-Fi suture interface represent a critical component of repair security in the rotator cuff repair space.\nOther notable offerings include the MicroFree platform in Orthopedics, the TruShot, the Y-Knot Pro and the CRYSTALVIEW Pump. Of the unique products under General Surgery, the Anchor Tissue Retrieval bag deserves mention. This is one of the major platforms in CONMED’s specimen bag portfolio. With increased product offerings, CONMED can accelerate its top-line growth.\nGeneral surgery comprises a complete line of endo-mechanical instrumentation for minimally invasive laparoscopic and gastrointestinal procedures, a line of cardiac monitoring products as well as electrosurgical generators and related instruments. CONMED’s unique products and solutions within the General Surgery segment provide it with a competitive edge in the MedTech space.\n\nImage Source: Zacks Investment Research\nIn the first quarter of 2022, the General Surgery segment’s revenues improved 7.7% at a constant exchange rate (CER). Domestically, General Surgery sales rose 7.5% year over year on a reported basis, while international sales climbed 8.2% at CER. According to CONMED’s investor presentation, global General Surgery products are anticipated to grow at above-market rates on a long-term basis on the back of additional sales representatives and improving customer engagement.\nPrimary Concern\nCONMED relies extensively on information technology (IT) systems for storing, processing and transmitting its electronic, business-related information assets used in or necessary to conduct business. The data that CONMED stores and processes may include customer payment information and other types of sensitive business-related information. Numerous evolving cybersecurity threats pose potential risks to the security of CNMD’s IT systems, networks and services as well as the confidentiality, availability and integrity of its data.\nEstimate Trend\nFor 2022, the consensus mark for adjusted earnings per share stands at $3.52, suggesting an improvement of 9.7% from the previous year’s level. The Zacks Consensus Estimate for 2022 revenues is pegged at $1.12 billion, indicating growth of 11% from the year-ago reported figure.\nStocks to Consider\nSome better-ranked stocks from the broader medical space are AMN Healthcare Services AMN, ShockWave Medical SWAV and ViewRayVRAY.\nAMN Healthcare’s earnings surpassed estimates in each of the trailing four quarters, the average being 15.6%. AMN currently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.\nAMN Healthcare’s long-term earnings growth rate is estimated at 16.2%. AMN’s earnings yield of 9.2% came against the industry’s (1.26%).\nShockWave Medical beats on earnings in each of the trailing four quarters, the average surprise being 189.99%. SWAV currently carries a Zacks Rank of 1.\nShockWave Medical’s earnings yield of 1.01% came against the industry’s (7.31%).\nViewRay’s earnings surpassed estimates in two of the trailing four quarters and missed the same twice, the average being (1.67%). VRAY currently carries a Zacks Rank of 2.\nVRAY’s earnings yield is (19.19%) compared with the industry’s (7.31%).\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nCONMED Corporation (CNMD): Free Stock Analysis Report\n \nAMN Healthcare Services Inc (AMN): Free Stock Analysis Report\n \nViewRay, Inc. (VRAY): Free Stock Analysis Report\n \nShockWave Medical, Inc. (SWAV): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Stocks to Consider Some better-ranked stocks from the broader medical space are AMN Healthcare Services AMN, ShockWave Medical SWAV and ViewRayVRAY. AMN Healthcare’s earnings surpassed estimates in each of the trailing four quarters, the average being 15.6%. AMN currently sports a Zacks Rank #1 (Strong Buy).', 'news_luhn_summary': 'Stocks to Consider Some better-ranked stocks from the broader medical space are AMN Healthcare Services AMN, ShockWave Medical SWAV and ViewRayVRAY. AMN Healthcare Services Inc (AMN): Free Stock Analysis Report AMN Healthcare’s earnings surpassed estimates in each of the trailing four quarters, the average being 15.6%.', 'news_article_title': "Here's Why You Should Hold on to CONMED (CNMD) Stock Now", 'news_lexrank_summary': 'AMN Healthcare’s long-term earnings growth rate is estimated at 16.2%. Stocks to Consider Some better-ranked stocks from the broader medical space are AMN Healthcare Services AMN, ShockWave Medical SWAV and ViewRayVRAY. AMN Healthcare’s earnings surpassed estimates in each of the trailing four quarters, the average being 15.6%.', 'news_textrank_summary': 'Stocks to Consider Some better-ranked stocks from the broader medical space are AMN Healthcare Services AMN, ShockWave Medical SWAV and ViewRayVRAY. AMN Healthcare Services Inc (AMN): Free Stock Analysis Report AMN Healthcare’s earnings surpassed estimates in each of the trailing four quarters, the average being 15.6%.'}, {'news_url': 'https://www.nasdaq.com/articles/factors-that-make-acadia-healthcare-achc-an-attractive-bet-now', 'news_author': None, 'news_article': 'Acadia Healthcare Company, Inc. ACHC is well-poised for growth, driven by continued top-line improvement on the back of a solid U.S. business, a broad healthcare network resulting from numerous joint ventures (JVs), solid financial guidance for 2022 and a robust financial position.\nZacks Rank & Price Performance\nAcadia Healthcare carries a Zacks Rank #2 (Buy) currently.\nThe stock has gained 18.5% over a year against the industry’s decline of 24.3%. The Zacks Medical sector and the S&P 500 composite have lost 16.4% and 11.3%, respectively, in the same time frame.\n\nImage Source: Zacks Investment Research\nFavorable Style Score\nAcadia Healthcare carries an impressive Value Score of B. Value Score helps find stocks that are undervalued. Back-tested results have shown that stocks with a favorable Value Score, when combined with a solid Zacks Rank, are the best investment bets.\nRobust Growth Prospects\nThe Zacks Consensus Estimate for ACHC’s 2022 earnings is pegged at $3.05 per share, indicating an increase of 19.1% on 12.1% higher revenues of $2.6 billion. The consensus mark for 2023 earnings stands at $3.30, suggesting growth of 8.3% on 8.3% higher revenues of $2.8 billion.\n\nThe expected long-term earnings growth rate is pegged at 12.5%, better than the industry’s average of 9.6%.\nSound Earnings Surprise History\nAcadia Healthcare boasts of a decent earnings surprise record. It has surpassed earnings estimates in two of the trailing four quarters, missed on one occasion and met once, the average surprise being 4.40%.\nSolid 2022 Outlook\nACHC projects revenues between $2.55 billion and $2.60 billion, the mid-point of which indicates an increase of nearly 12% from the 2021 reported figure. Adjusted EBITDA is estimated within $575-$610 million, the mid-point of the guidance suggesting 6% growth from the 2021 figure.\nAdjusted earnings per diluted share is expected in the $2.85-$3.15 band, implying growth of 17.2% from the 2021 level.\nBusiness Tailwinds\nRevenues of Acadia Healthcare continue to benefit on the back of a strong U.S. business that is currently gaining from solid patient volumes and operational efficiencies. Continued incidence of mental health issues among Americans is expected to sustain the solid demand for behavioral healthcare services, which in turn is likely to continue benefiting Acadia Healthcare’s revenues in the days ahead.\nAcadia Healthcare often resorts to JVs with renowned U.S. health systems to inaugurate new facilities or expand existing facilities. The recent JV with one of the most well-established integrated health systems of Massachusetts — Tufts Medicine, marks the 17th JV partnership of Acadia Healthcare. It also remains positive about the year 2022, which is likely to be the strongest year of ACHC with respect to JVs.\nIn addition to enhancing revenues, these growth-related efforts have diversified the healthcare network of Acadia Healthcare and enabled it to delve deeper into areas grappling with inaccessibility to care. The portfolio of ACHC comprised 238 behavioral healthcare facilities stretched throughout 40 states and Puerto Rico as of Mar 31, 2022.\nAcadia Healthcare boasts of a strong financial position, supported by cash reserves sufficient enough to service short-term debt obligations. In order to intensify focus on U.S. business and repay debts, ACHC divested its underperforming U.K. operations last year. Evidently, the transaction has been bearing fruits for Acadia Healthcare as its total debt load is witnessing a downtrend. It is worth mentioning that interest expenses tumbled 45.6% year over year in the first quarter of 2022. Its leverage ratio has been improving for a while.\nAcadia Healthcare has adequate cash-generating abilities in place, which paves the way for it to undertake uninterrupted business investments. ACHC had $440 million available under its $600-million revolving credit facility as of Mar 31, 2022.\nOther Stocks to Consider\nSome other top-ranked stocks in the Medical space include AMN Healthcare Services, Inc. AMN, Avantor, Inc. AVTR and ShockWave Medical, Inc. SWAV. While AMN Healthcare and ShockWave Medical sport a Zacks Rank #1 (Strong Buy), Avantor carries a Zacks Rank #2. You can see the complete list of today’s Zacks #1 Rank stocks here.\nAMN Healthcare’s earnings outpaced estimates in each of the trailing four quarters, the average surprise being 15.60%. The Zacks Consensus Estimate for AMN’s 2022 earnings suggests 29.6% year-over-year growth, while the same for revenues implies an improvement of 25.5%. AMN Healthcare’s consensus mark for 2022 earnings has moved north by 2.8% in the past 60 days.\nAvantor has a trailing four-quarter earnings surprise of 10.93%, on average. The Zacks Consensus Estimate for AVTR’s 2022 earnings indicates 7.1% year-over-year growth, while the same for revenues suggests 7.7% growth. Avantor has a Value Score of B.\nThe bottom line of ShockWave Medical outpaced estimates in each of the trailing four quarters, the average surprise being 189.99%. The Zacks Consensus Estimate for SWAV’s 2022 earnings is pegged at $2.05 per share, which compares favorably with the prior-year’s loss of 26 cents. The same for revenues indicate growth of 90.5%. ShockWave Medical’s consensus mark for 2022 earnings has moved north by 11.4% in the past 30 days.\nShares of AMN Healthcare and ShockWave Medical have gained 14.6% and 6.5%, respectively, in a year. However, Avantor stock has lost 13.7% in the same time frame.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nAMN Healthcare Services Inc (AMN): Free Stock Analysis Report\n \nAcadia Healthcare Company, Inc. (ACHC): Free Stock Analysis Report\n \nShockWave Medical, Inc. (SWAV): Free Stock Analysis Report\n \nAvantor, Inc. (AVTR): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Other Stocks to Consider Some other top-ranked stocks in the Medical space include AMN Healthcare Services, Inc. AMN, Avantor, Inc. AVTR and ShockWave Medical, Inc. SWAV. While AMN Healthcare and ShockWave Medical sport a Zacks Rank #1 (Strong Buy), Avantor carries a Zacks Rank #2. AMN Healthcare’s earnings outpaced estimates in each of the trailing four quarters, the average surprise being 15.60%.', 'news_luhn_summary': 'Other Stocks to Consider Some other top-ranked stocks in the Medical space include AMN Healthcare Services, Inc. AMN, Avantor, Inc. AVTR and ShockWave Medical, Inc. SWAV. While AMN Healthcare and ShockWave Medical sport a Zacks Rank #1 (Strong Buy), Avantor carries a Zacks Rank #2. AMN Healthcare’s earnings outpaced estimates in each of the trailing four quarters, the average surprise being 15.60%.', 'news_article_title': 'Factors that Make Acadia Healthcare (ACHC) an Attractive Bet Now', 'news_lexrank_summary': 'The Zacks Consensus Estimate for AMN’s 2022 earnings suggests 29.6% year-over-year growth, while the same for revenues implies an improvement of 25.5%. Shares of AMN Healthcare and ShockWave Medical have gained 14.6% and 6.5%, respectively, in a year. Other Stocks to Consider Some other top-ranked stocks in the Medical space include AMN Healthcare Services, Inc. AMN, Avantor, Inc. AVTR and ShockWave Medical, Inc. SWAV.', 'news_textrank_summary': 'Other Stocks to Consider Some other top-ranked stocks in the Medical space include AMN Healthcare Services, Inc. AMN, Avantor, Inc. AVTR and ShockWave Medical, Inc. SWAV. While AMN Healthcare and ShockWave Medical sport a Zacks Rank #1 (Strong Buy), Avantor carries a Zacks Rank #2. AMN Healthcare’s earnings outpaced estimates in each of the trailing four quarters, the average surprise being 15.60%.'}, {'news_url': 'https://www.nasdaq.com/articles/merit-medicals-mmsi-new-launch-to-improve-patient-outcome', 'news_author': None, 'news_article': 'Merit Medical Systems, Inc. MMSI recently announced the launch of the SCOUT Mini Reflector, which has been designed for use in soft tissues, such as breast and lymph nodes. The latest SCOUT Mini Reflector is the newest addition to Merit Medical’s Oncology Breast and Soft Tissue Localization portfolio, which also includes the standard SCOUT Reflector as part of the SCOUT Radar Localization system.\nThe latest launch is expected to significantly solidify Merit Medical’s foothold in the global oncology space.\nSignificance of the Launch\nPer Merit Medical’s estimates, over 300,000 new cases of breast cancer are likely to be diagnosed in women in the United States in 2022. Radar localization procedures enable physicians to surgically remove abnormal breast tissue while minimizing trauma to surrounding healthy tissues. By implanting a tiny reflector, physicians can precisely target affected tissue, resulting in more successful surgeries and improved patient outcomes.\nMerit Medical’s latest mini reflector is much (33%) shorter than the standard SCOUT Reflector. This is expected to provide more utility in difficult-to-localize areas. Also, the latest mini reflector has provisions for multiple treatment needs and can be used pre- or post-neoadjuvant chemotherapy, at the time of biopsy and for bracketing. Further, the SCOUT indication for use also supports placement in other soft-tissue malignancies, thereby expanding the use of SCOUT technology outside the traditional use for breast cancer treatment.\nPer management, the SCOUT Mini Reflector will likely meet the requirement for smaller implantable devices for physicians and patients, which will enhance the treatments.\nIndustry Prospects\nPer a report by Facts and Factors published on GlobeNewswire, the market for global breast cancer treatments is anticipated to reach $34.06 billion by 2026 from $19.24 billion in 2019 at a CAGR of 8.5%. Factors like increasing cases of breast cancer and unhealthy lifestyles are likely to drive the market.\nGiven the market potential, the latest launch is expected to provide a significant boost to Merit Medical’s business globally.\nRecent Developments\nThis month, Merit Medical announced the successful enrollment of the first patient in its WRAP Registry Study.\nIn April, Merit Medical reported its first-quarter 2022 results, wherein it recorded solid uptick in revenues, both on a reported basis and at constant currency rates. The company also saw substantial segmental growth and growth across all product categories within its Cardiovascular unit. Solid product sales and robust performances in both the United States and outside were also witnessed.\nAlso in April, Merit Medical launched the ReSolve Thoracostomy Tray, where each tray component is placed in order of use, thereby supporting procedural efficiency and ease of use. The new tray has all products needed for performing a thoracostomy — a minimally invasive technique that enables patients to opt out of an open surgical procedure to drain chest fluids or air.\nPrice Performance\nShares of the company have lost 15.8% in the past year compared with 10.5% fall of the industry and 11.3% decline of the S&P 500 composite.\n\nImage Source: Zacks Investment Research\nZacks Rank & Key Picks\nCurrently, Merit Medical carries a Zacks Rank #3 (Hold).\nSome better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV.\nAMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.\nYou can see the complete list of today’s Zacks #1 Rank stocks here.\nAMN Healthcare has gained 13.8% against the industry’s 32.7% fall in the past year.\nPatterson Companies, carrying a Zacks Rank #2 (Buy) at present, has an estimated long-term growth rate of 9.6%. PDCO’s earnings surpassed estimates in all the trailing four quarters, the average beat being 16.5%.\nPatterson Companies has lost 1.8% compared with the industry’s 10.5% fall over the past year.\nShockWave Medical, sporting a Zacks Rank #1 at present, has an estimated growth rate of 44.9% for 2023. SWAV’s earnings surpassed estimates in all the trailing four quarters, the average beat being 189.9%.\nShockWave Medical has gained 7.9% against the industry’s 24.4% fall over the past year.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nPatterson Companies, Inc. (PDCO): Free Stock Analysis Report\n \nMerit Medical Systems, Inc. (MMSI): Free Stock Analysis Report\n \nAMN Healthcare Services Inc (AMN): Free Stock Analysis Report\n \nShockWave Medical, Inc. (SWAV): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.', 'news_luhn_summary': 'Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.', 'news_article_title': "Merit Medical's (MMSI) New Launch to Improve Patient Outcome", 'news_lexrank_summary': 'Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.', 'news_textrank_summary': 'Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.'}, {'news_url': 'https://www.nasdaq.com/articles/reasons-to-retain-merit-medical-mmsi-stock-in-your-portfolio', 'news_author': None, 'news_article': 'Merit Medical Systems, Inc. MMSI is well-poised for growth in the coming quarters, backed by its strong product portfolio. A robust first-quarter 2022 performance, along with its solid international exposure, is expected to contribute further. However, headwinds related to higher consolidation in the healthcare industry, and the lack of direct sales and marketing capabilities persist.\nOver the past year, this Zacks Rank #3 (Hold) stock has lost 15.3% compared with a 10.5% fall of the industry and a 11.3% decline of the S&P 500.\nThe renowned medical devices provider has a market capitalization of $3.05 billion. The company projects 11% growth for the next five years and expects to maintain its strong performance. It has delivered an earnings surprise of 28.5% for the past four quarters, on average.\n\nImage Source: Zacks Investment Research\nLet’s delve deeper.\nStrong Product Portfolio: We are upbeat about Merit Medical’s continued gains on the back of significant momentum of new products. We are also optimistic about the company’s product pipeline, including radio and electrophysiology products. This month, the company announced the launch of the SCOUT Mini Reflector, which has been designed for use in soft tissues, such as breast and lymph nodes.\nThe company, in April, launched the ReSolve Thoracostomy Tray, which has all products needed for performing a thoracostomy.\nInternational Exposure: We are upbeat about Merit Medical’s current global operations, including its territories in Europe, the Middle East, Africa, Asia, Oceania, Central and South America, Mexico, and Canada. In the first quarter of 2022, Merit Medical confirmed that its international sales (44.5% of net sales) improved 13.8% from the corresponding period of 2021. This included increased sales of 18.1% in APAC operations, 46.1% in Rest of the World operations and 5% in EMEA operations.\nStrong Q1 Results: Merit Medical’s robust first-quarter 2022 results buoy optimism. The company also saw solid segmental growth and growth across all product categories within its Cardiovascular unit. Solid product sales and robust performances in both the United States and outside were also witnessed. Strong execution and improving customer demand trends raised the overall top line. Expansion of the adjusted operating margin also bodes well.\nDownsides\nHigher Consolidation in the Healthcare Industry: Healthcare costs have risen significantly over the past decade. Thus, in order to provide healthcare solutions at a cheaper rate and eradicate competition, large-cap MedTech behemoths have started consolidating with mid-cap and small-cap companies. This enables the availability of healthcare products at low prices in the market. Per management, such trends compel Merit Medical’s customers to ask for price concessions in its products, which acts against its ongoing business strategies. This may also exert a solid downward pressure on the prices of Merit Medical’s products and reduce customer base.\nLack of Direct Sales and Marketing Capabilities: Merit Medical lacks direct sales and marketing capabilities in many countries. The company wholly depends on third-party distributors for the commercialization of products in countries like China, Japan, Russia and India. Per management, because of inefficiencies in the distributor base, Merit Medical often fails to successfully commercialize its products in these countries.\nEstimate Trend\nMerit Medical is witnessing a positive estimate revision trend for 2022. In the past 90 days, the Zacks Consensus Estimate for its earnings has moved a penny north to $2.50.\nThe Zacks Consensus Estimate for the company’s second-quarter 2022 revenues is pegged at $280.9 million, suggesting a 0.2% rise from the year-ago quarter’s reported number.\nKey Picks\nSome better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV.\nAMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.\nYou can see the complete list of today’s Zacks #1 Rank stocks here.\nAMN Healthcare has gained 13.8% against the industry’s 32.7% fall in the past year.\nPatterson Companies, carrying a Zacks Rank #2 (Buy) at present, has an estimated long-term growth rate of 9.6%. PDCO’s earnings surpassed estimates in all the trailing four quarters, the average beat being 16.5%.\nPatterson Companies has lost 1.8% compared with the industry’s 10.5% fall over the past year.\nShockWave Medical, sporting a Zacks Rank #1 at present, has an estimated growth rate of 44.9% for 2023. SWAV’s earnings surpassed estimates in all the trailing four quarters, the average beat being 189.9%.\nShockWave Medical has gained 7.9% against the industry’s 24.4% fall over the past year.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nPatterson Companies, Inc. (PDCO): Free Stock Analysis Report\n \nMerit Medical Systems, Inc. (MMSI): Free Stock Analysis Report\n \nAMN Healthcare Services Inc (AMN): Free Stock Analysis Report\n \nShockWave Medical, Inc. (SWAV): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Key Picks Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.', 'news_luhn_summary': 'Key Picks Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.', 'news_article_title': 'Reasons to Retain Merit Medical (MMSI) Stock in Your Portfolio', 'news_lexrank_summary': 'Key Picks Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.', 'news_textrank_summary': 'Key Picks Some better-ranked stocks in the broader medical space are AMN Healthcare Services, Inc. AMN, Patterson Companies, Inc. PDCO and ShockWave Medical, Inc. SWAV. AMN Healthcare, flaunting a Zacks Rank #1 (Strong Buy) at present, has an estimated long-term growth rate of 1.1%. AMN’s earnings surpassed the Zacks Consensus Estimate in all the trailing four quarters, the average beat being 15.6%.'}, {'news_url': 'https://www.nasdaq.com/articles/quest-diagnostics-dgx-cdc-sign-new-covid-19-testing-deal', 'news_author': None, 'news_article': 'Quest Diagnostics Incorporated DGX recently joined as a participating partner in the Centers for Disease Control and Prevention\'s (CDC) Increasing Community Access to Testing (ICATT) for the COVID-19 program. The ICATT program aims to support free COVID-19 laboratory testing for patients across communities impacted by the pandemic in the United States.\nFollowing a competitive bid, the CDC selected Quest Diagnostics as a participating partner in the ICATT program. However, financial terms regarding the same have been kept in wraps. This collaboration will enable Quest Diagnostics to expand access to COVID-19 diagnostic services in underserved communities to bridge the equity gaps in the country’s pandemic response.\nQuest Diagnostics’ management is optimistic about CDC’s efforts to increase accessibility to critical COVID-19 laboratory testing for individuals in most need through public-private collaboration. The CDC-brokered model may help curb the spread of SARS-CoV-2 and other contagions by making high-quality laboratory testing financially accessible.\nMore on the News\nUnder the ICATT program, Quest Diagnostics will enhance access to $0 out-of-pocket COVID-19 testing to qualifying uninsured individuals at roughly 1,200 of its 2,100 patient service centers. To qualify, individuals must complete a brief online screening questionnaire through the company’s consumer-initiated testing service, QuestDirect. Uninsured and insured individuals aged 2 years and older are eligible for the program.\n\nImage Source: Zacks Investment Research\nThe QuestDirect platform will direct a qualifying uninsured individual to make an appointment at an ICATT-participating Quest Diagnostics patient service center after they have completed the questionnaire. The qualifying criteria involve being symptomatic, recently exposed to a COVID-19 patient and/or having other health risks.\nIndustry Prospects\nGoing by a report in Grand View Research, the global COVID-19 diagnostics market is expected to see a CAGR of 7.7% from 2022 to 2030. Factors such as rising government initiatives for mass testing, the growing need for speedy diagnostics, and the absence of specific drugs can be attributable to market growth.\nGiven the market potential, Quest Diagnostics’ latest collaboration with the CDC on its ICATT initiative seems strategic.\nOther COVID-related Developments\nPreviously, Quest Diagnostics has partnered with the CDC on a number of public health testing and research initiatives, including those related to SARS-CoV-2 variant sequencing and serology testing. In March 2022, Quest Diagnostics was granted a contract by CDC to conduct testing and provide laboratory data analysis to help detect patterns in SARS-COV-2 seroprevalence on a multi-state basis. The contract is intended to assist the CDC in evaluating the proportion of the population infected by or vaccinated against SARS-CoV-2.\nIn January 2022, the company announced the availability of an at-home COVID-19 rapid antigen test service for consumer purchase through its consumer-initiated testing platform, QuestDirect. The new service features proctored telehealth visits in partnership with eMed. The service allows individuals to use Abbott’s BinaxNOW COVID-19 Ag Card Home Test under the supervision of a certified telehealth proctor.\nThe company is bridging healthcare gaps to address health disparities in underserved communities, including those affected by COVID-19, through its Quest for Health Equity (Q4HE) initiative.\nShare Price Performance\nDGX has outperformed its industry in the past year. The stock has gained 0.1% against a 38.6% decline of the industry.\nZacks Rank and Key Picks\nCurrently, Quest Diagnostics carries a Zacks Rank #2 (Buy).\nA few better-ranked stocks in the broader medical space that investors can consider are AMN Healthcare Services, Inc. AMN, Merck & Co., Inc. MRK and Patterson Companies, Inc. PDCO.\nAMN Healthcare has a long-term earnings growth rate of 1.1%. The company surpassed earnings estimates in the trailing four quarters, delivering a surprise of 15.6%, on average. It currently flaunts a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.\nAMN Healthcare has outperformed its industry in the past year. AMN has gained 13.9% against the industry’s 32.7% fall.\nMerck has a long-term earnings growth rate of 10.1%. The company surpassed earnings estimates in the trailing three quarters and missed in one, delivering a surprise of 13.4%, on average. It currently carries a Zacks Rank #2.\nMerck has outperformed its industry in the past year. MRK has gained 19.6% against the industry’s 15.7% growth.\nPatterson Companies has an estimated long-term growth rate of 9.6%. The company’s earnings surpassed estimates in all the trailing four quarters, the average beat being 16.5%. It currently flaunts a Zacks Rank #2.\nPatterson Companies has outperformed its industry in the past year. PDCO has lost 1.8% compared with the industry’s 10.5% fall.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nMerck & Co., Inc. (MRK): Free Stock Analysis Report\n \nQuest Diagnostics Incorporated (DGX): Free Stock Analysis Report\n \nPatterson Companies, Inc. (PDCO): Free Stock Analysis Report\n \nAMN Healthcare Services Inc (AMN): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'A few better-ranked stocks in the broader medical space that investors can consider are AMN Healthcare Services, Inc. AMN, Merck & Co., Inc. MRK and Patterson Companies, Inc. PDCO. AMN Healthcare has a long-term earnings growth rate of 1.1%. AMN Healthcare has outperformed its industry in the past year.', 'news_luhn_summary': 'A few better-ranked stocks in the broader medical space that investors can consider are AMN Healthcare Services, Inc. AMN, Merck & Co., Inc. MRK and Patterson Companies, Inc. PDCO. AMN Healthcare Services Inc (AMN): Free Stock Analysis Report AMN Healthcare has a long-term earnings growth rate of 1.1%.', 'news_article_title': 'Quest Diagnostics (DGX), CDC Sign New COVID-19 Testing Deal', 'news_lexrank_summary': 'A few better-ranked stocks in the broader medical space that investors can consider are AMN Healthcare Services, Inc. AMN, Merck & Co., Inc. MRK and Patterson Companies, Inc. PDCO. AMN Healthcare has a long-term earnings growth rate of 1.1%. AMN Healthcare has outperformed its industry in the past year.', 'news_textrank_summary': 'A few better-ranked stocks in the broader medical space that investors can consider are AMN Healthcare Services, Inc. AMN, Merck & Co., Inc. MRK and Patterson Companies, Inc. PDCO. AMN Healthcare has a long-term earnings growth rate of 1.1%. AMN Healthcare has outperformed its industry in the past year.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 111.2699966430664, 'high': 117.6500015258789, 'open': 112.68000030517578, 'close': 117.01000213623048, 'ema_50': 103.20312691742402, 'rsi_14': 76.31815007294173, 'target': 111.45999908447266, 'volume': 654600.0, 'ema_200': 101.41302877188254, 'adj_close': 117.01000213623048, 'rsi_lag_1': 74.13793274614609, 'rsi_lag_2': 61.22265608656496, 'rsi_lag_3': 63.72302146347951, 'rsi_lag_4': 66.9502399748873, 'rsi_lag_5': 69.29030716267795, 'macd_lag_1': 3.9902235466642964, 'macd_lag_2': 3.930818843129302, 'macd_lag_3': 4.038112264134909, 'macd_lag_4': 4.150939315688973, 'macd_lag_5': 4.222352677694332, 'macd_12_26_9': 4.297618163101461, 'macds_12_26_9': 3.7595097540043563}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 111.45999908447266, '2022-07-13': 110.23999786376952, '2022-07-14': 117.44000244140624, '2022-07-15': 117.55999755859376, '2022-07-18': 121.11000061035156, '2022-07-19': 122.7699966430664, '2022-07-20': 123.80999755859376, '2022-07-21': 123.75, '2022-07-22': 110.33000183105467, '2022-07-25': 113.04000091552734}, '1_month_later': {'2022-08-11': 113.36000061035156}, '3_months_later': {'2022-10-11': 113.45999908447266}, '6_months_later': {'2023-01-11': 110.87999725341795}, '12_months_later': {'2023-07-11': 110.0199966430664}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMLP
|
{'date': '2022-07-11', 'ticker': 'AMLP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.18000030517578, 'high': 35.0099983215332, 'open': 34.650001525878906, 'close': 34.81999969482422, 'ema_50': 36.877035008549925, 'rsi_14': 53.795061091227325, 'target': 34.290000915527344, 'volume': 1275400.0, 'ema_200': 36.212225897556756, 'adj_close': 30.85947036743164, 'rsi_lag_1': 50.44484997279823, 'rsi_lag_2': 43.48856569512835, 'rsi_lag_3': 34.2083018268231, 'rsi_lag_4': 33.89261949009155, 'rsi_lag_5': 30.375939763362624, 'macd_lag_1': -1.1219551903357186, 'macd_lag_2': -1.2226461911368318, 'macd_lag_3': -1.3170896849153877, 'macd_lag_4': -1.2688034063587494, 'macd_lag_5': -1.2538808082181703, 'macd_12_26_9': -1.04623489227491, 'macds_12_26_9': -1.148001430022787}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 34.290000915527344, '2022-07-13': 34.72999954223633, '2022-07-14': 34.2400016784668, '2022-07-15': 35.0099983215332, '2022-07-18': 35.84000015258789, '2022-07-19': 36.68999862670898, '2022-07-20': 36.68999862670898, '2022-07-21': 36.41999816894531, '2022-07-22': 35.970001220703125, '2022-07-25': 37.16999816894531}, '1_month_later': {'2022-08-11': 38.810001373291016}, '3_months_later': {'2022-10-11': 37.970001220703125}, '6_months_later': {'2023-01-11': 39.77999877929688}, '12_months_later': {'2023-07-11': 40.08000183105469}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMKR
|
{'date': '2022-07-11', 'ticker': 'AMKR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/sum-up-the-pieces%3A-prf-could-be-worth-%24189', 'news_author': None, 'news_article': "Looking at the underlying holdings of the ETFs in our coverage universe at ETF Channel, we have compared the trading price of each holding against the average analyst 12-month forward target price, and computed the weighted average implied analyst target price for the ETF itself. For the Invesco FTSE RAFI US 1000 ETF (Symbol: PRF), we found that the implied analyst target price for the ETF based upon its underlying holdings is $189.45 per unit.\nWith PRF trading at a recent price near $150.61 per unit, that means that analysts see 25.79% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of PRF's underlying holdings with notable upside to their analyst target prices are Carlyle Group Inc (Symbol: CG), International Game Technology PLC (Symbol: IGT), and Amkor Technology Inc. (Symbol: AMKR). Although CG has traded at a recent price of $31.99/share, the average analyst target is 100.06% higher at $64.00/share. Similarly, IGT has 88.99% upside from the recent share price of $17.99 if the average analyst target price of $34.00/share is reached, and analysts on average are expecting AMKR to reach a target price of $30.00/share, which is 80.40% above the recent price of $16.63. Below is a twelve month price history chart comparing the stock performance of CG, IGT, and AMKR:\nBelow is a summary table of the current analyst target prices discussed above:\nNAME SYMBOL RECENT PRICE AVG. ANALYST 12-MO. TARGET % UPSIDE TO TARGET\nInvesco FTSE RAFI US 1000 ETF PRF $150.61 $189.45 25.79%\nCarlyle Group Inc CG $31.99 $64.00 100.06%\nInternational Game Technology PLC IGT $17.99 $34.00 88.99%\nAmkor Technology Inc. AMKR $16.63 $30.00 80.40%\nAre analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Do the analysts have a valid justification for their targets, or are they behind the curve on recent company and industry developments? A high price target relative to a stock's trading price can reflect optimism about the future, but can also be a precursor to target price downgrades if the targets were a relic of the past. These are questions that require further investor research.\n10 ETFs With Most Upside To Analyst Targets »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Invesco FTSE RAFI US 1000 ETF PRF $150.61 $189.45 25.79% Carlyle Group Inc CG $31.99 $64.00 100.06% International Game Technology PLC IGT $17.99 $34.00 88.99% Amkor Technology Inc. AMKR $16.63 $30.00 80.40% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of PRF's underlying holdings with notable upside to their analyst target prices are Carlyle Group Inc (Symbol: CG), International Game Technology PLC (Symbol: IGT), and Amkor Technology Inc. (Symbol: AMKR). Similarly, IGT has 88.99% upside from the recent share price of $17.99 if the average analyst target price of $34.00/share is reached, and analysts on average are expecting AMKR to reach a target price of $30.00/share, which is 80.40% above the recent price of $16.63.", 'news_luhn_summary': "Three of PRF's underlying holdings with notable upside to their analyst target prices are Carlyle Group Inc (Symbol: CG), International Game Technology PLC (Symbol: IGT), and Amkor Technology Inc. (Symbol: AMKR). Similarly, IGT has 88.99% upside from the recent share price of $17.99 if the average analyst target price of $34.00/share is reached, and analysts on average are expecting AMKR to reach a target price of $30.00/share, which is 80.40% above the recent price of $16.63. Invesco FTSE RAFI US 1000 ETF PRF $150.61 $189.45 25.79% Carlyle Group Inc CG $31.99 $64.00 100.06% International Game Technology PLC IGT $17.99 $34.00 88.99% Amkor Technology Inc. AMKR $16.63 $30.00 80.40% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now?", 'news_article_title': 'Sum Up The Pieces: PRF Could Be Worth $189', 'news_lexrank_summary': "Invesco FTSE RAFI US 1000 ETF PRF $150.61 $189.45 25.79% Carlyle Group Inc CG $31.99 $64.00 100.06% International Game Technology PLC IGT $17.99 $34.00 88.99% Amkor Technology Inc. AMKR $16.63 $30.00 80.40% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of PRF's underlying holdings with notable upside to their analyst target prices are Carlyle Group Inc (Symbol: CG), International Game Technology PLC (Symbol: IGT), and Amkor Technology Inc. (Symbol: AMKR). Similarly, IGT has 88.99% upside from the recent share price of $17.99 if the average analyst target price of $34.00/share is reached, and analysts on average are expecting AMKR to reach a target price of $30.00/share, which is 80.40% above the recent price of $16.63.", 'news_textrank_summary': "Similarly, IGT has 88.99% upside from the recent share price of $17.99 if the average analyst target price of $34.00/share is reached, and analysts on average are expecting AMKR to reach a target price of $30.00/share, which is 80.40% above the recent price of $16.63. Three of PRF's underlying holdings with notable upside to their analyst target prices are Carlyle Group Inc (Symbol: CG), International Game Technology PLC (Symbol: IGT), and Amkor Technology Inc. (Symbol: AMKR). Below is a twelve month price history chart comparing the stock performance of CG, IGT, and AMKR: Below is a summary table of the current analyst target prices discussed above:"}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.209999084472656, 'high': 16.649999618530273, 'open': 16.389999389648438, 'close': 16.360000610351562, 'ema_50': 18.24327348353168, 'rsi_14': 47.70932781156233, 'target': 16.360000610351562, 'volume': 514800.0, 'ema_200': 20.62880092128488, 'adj_close': 16.0909366607666, 'rsi_lag_1': 50.72932149066295, 'rsi_lag_2': 37.38679586305085, 'rsi_lag_3': 32.307690871281025, 'rsi_lag_4': 34.23912973056882, 'rsi_lag_5': 29.700595355502983, 'macd_lag_1': -0.7985341987988868, 'macd_lag_2': -0.8639814944026831, 'macd_lag_3': -0.9105126987227372, 'macd_lag_4': -0.8721506287611334, 'macd_lag_5': -0.8023553064403401, 'macd_12_26_9': -0.7596960686717651, 'macds_12_26_9': -0.7725329860704517}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 16.360000610351562, '2022-07-13': 16.459999084472656, '2022-07-14': 16.950000762939453, '2022-07-15': 17.350000381469727, '2022-07-18': 17.219999313354492, '2022-07-19': 18.350000381469727, '2022-07-20': 18.86000061035156, '2022-07-21': 19.239999771118164, '2022-07-22': 18.82999992370605, '2022-07-25': 18.71999931335449}, '1_month_later': {'2022-08-11': 21.920000076293945}, '3_months_later': {'2022-10-11': 17.350000381469727}, '6_months_later': {'2023-01-11': 29.700000762939453}, '12_months_later': {'2023-07-11': 27.86000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMH
|
{'date': '2022-07-11', 'ticker': 'AMH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.529998779296875, 'high': 35.97999954223633, 'open': 35.7400016784668, 'close': 35.88999938964844, 'ema_50': 36.427150999287825, 'rsi_14': 91.88399355151161, 'target': 35.08000183105469, 'volume': 1331200.0, 'ema_200': 38.10511481183643, 'adj_close': 34.611270904541016, 'rsi_lag_1': 91.9307815602182, 'rsi_lag_2': 81.79476018838673, 'rsi_lag_3': 83.60266657974235, 'rsi_lag_4': 70.81536843225456, 'rsi_lag_5': 47.21031003225296, 'macd_lag_1': -0.19234608512461193, 'macd_lag_2': -0.24626237975253673, 'macd_lag_3': -0.3257516626818031, 'macd_lag_4': -0.4102522254205354, 'macd_lag_5': -0.4795565787461058, 'macd_12_26_9': -0.14312586574055786, 'macds_12_26_9': -0.40779494040596237}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 35.08000183105469, '2022-07-13': 35.779998779296875, '2022-07-14': 35.52000045776367, '2022-07-15': 36.06999969482422, '2022-07-18': 35.83000183105469, '2022-07-19': 36.02999877929688, '2022-07-20': 35.869998931884766, '2022-07-21': 36.33000183105469, '2022-07-22': 36.369998931884766, '2022-07-25': 36.15999984741211}, '1_month_later': {'2022-08-11': 37.79999923706055}, '3_months_later': {'2022-10-11': 31.920000076293945}, '6_months_later': {'2023-01-11': 32.47999954223633}, '12_months_later': {'2023-07-11': 36.34999847412109}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AMNB
|
{'date': '2022-07-11', 'ticker': 'AMNB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.2400016784668, 'high': 34.54999923706055, 'open': 34.2400016784668, 'close': 34.33000183105469, 'ema_50': 35.04079597326382, 'rsi_14': 51.54188390392687, 'target': 34.2599983215332, 'volume': 6900.0, 'ema_200': 35.59311611534259, 'adj_close': 32.62651062011719, 'rsi_lag_1': 57.93649291897485, 'rsi_lag_2': 53.61446152290578, 'rsi_lag_3': 59.38628830017393, 'rsi_lag_4': 61.61045826338537, 'rsi_lag_5': 53.70368824323101, 'macd_lag_1': -0.17533651421371843, 'macd_lag_2': -0.1822086099459881, 'macd_lag_3': -0.1628750505359733, 'macd_lag_4': -0.14193853743446994, 'macd_lag_5': -0.1681328958885686, 'macd_12_26_9': -0.17433586485410757, 'macds_12_26_9': -0.1893982344022696}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 34.2599983215332, '2022-07-13': 34.0099983215332, '2022-07-14': 33.83000183105469, '2022-07-15': 34.709999084472656, '2022-07-18': 34.75, '2022-07-19': 35.599998474121094, '2022-07-20': 36.119998931884766, '2022-07-21': 35.9900016784668, '2022-07-22': 35.279998779296875, '2022-07-25': 34.65999984741211}, '1_month_later': {'2022-08-11': 35.0}, '3_months_later': {'2022-10-11': 33.40999984741211}, '6_months_later': {'2023-01-11': 36.34999847412109}, '12_months_later': {'2023-07-11': 29.40999984741211}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AGQ
|
{'date': '2022-07-11', 'ticker': 'AGQ', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.600000381469727, 'high': 22.190000534057617, 'open': 21.940000534057617, 'close': 21.6299991607666, 'ema_50': 28.18509705885183, 'rsi_14': 7.41687730019008, 'target': 21.25, 'volume': 554000.0, 'ema_200': 34.04448562897001, 'adj_close': 21.6299991607666, 'rsi_lag_1': 7.081807337727497, 'rsi_lag_2': 14.205171862491184, 'rsi_lag_3': 27.93560168193511, 'rsi_lag_4': 27.03940799803358, 'rsi_lag_5': 25.629880849520973, 'macd_lag_1': -1.9582906708720813, 'macd_lag_2': -1.9008277785087166, 'macd_lag_3': -1.7906721763049447, 'macd_lag_4': -1.6158819837867178, 'macd_lag_5': -1.3703006052399829, 'macd_12_26_9': -2.018487727556195, 'macds_12_26_9': -1.6253473196298882}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 21.25, '2022-07-13': 21.86000061035156, '2022-07-14': 20.0, '2022-07-15': 20.57999992370605, '2022-07-18': 20.6200008392334, '2022-07-19': 20.75, '2022-07-20': 20.530000686645508, '2022-07-21': 20.989999771118164, '2022-07-22': 20.36000061035156, '2022-07-25': 19.950000762939453}, '1_month_later': {'2022-08-11': 24.1200008392334}, '3_months_later': {'2022-10-11': 20.920000076293945}, '6_months_later': {'2023-01-11': 30.459999084472656}, '12_months_later': {'2023-07-11': 27.729999542236328}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AGO
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{'date': '2022-07-11', 'ticker': 'AGO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 54.68999862670898, 'high': 55.41999816894531, 'open': 54.77999877929688, 'close': 55.06999969482422, 'ema_50': 56.73369117729079, 'rsi_14': 58.842106869346196, 'target': 55.119998931884766, 'volume': 211600.0, 'ema_200': 54.69987512253441, 'adj_close': 53.552982330322266, 'rsi_lag_1': 62.38806899250609, 'rsi_lag_2': 44.91150100163925, 'rsi_lag_3': 42.782348882953016, 'rsi_lag_4': 49.89138751619381, 'rsi_lag_5': 44.394327410478176, 'macd_lag_1': -0.5450126568246247, 'macd_lag_2': -0.5423505097124206, 'macd_lag_3': -0.5127366034572987, 'macd_lag_4': -0.42980788490402944, 'macd_lag_5': -0.3920361591978647, 'macd_12_26_9': -0.5512578697470829, 'macds_12_26_9': -0.5060821858884867}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 55.119998931884766, '2022-07-13': 54.88999938964844, '2022-07-14': 53.77999877929688, '2022-07-15': 54.63999938964844, '2022-07-18': 54.33000183105469, '2022-07-19': 55.84999847412109, '2022-07-20': 56.22999954223633, '2022-07-21': 55.77999877929688, '2022-07-22': 55.90999984741211, '2022-07-25': 57.0099983215332}, '1_month_later': {'2022-08-11': 54.38999938964844}, '3_months_later': {'2022-10-11': 52.04999923706055}, '6_months_later': {'2023-01-11': 61.27999877929688}, '12_months_later': {'2023-07-11': 57.27999877929688}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AGNCP
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{'date': '2022-07-11', 'ticker': 'AGNCP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.86000061035156, 'high': 20.06599998474121, 'open': 20.059999465942383, 'close': 20.030000686645508, 'ema_50': 21.431590394247387, 'rsi_14': 28.727256585732547, 'target': 19.8700008392334, 'volume': 63700.0, 'ema_200': 23.105349062438883, 'adj_close': 17.90292739868164, 'rsi_lag_1': 39.31886936069522, 'rsi_lag_2': 32.56410043228388, 'rsi_lag_3': 26.74094885112673, 'rsi_lag_4': 34.883720930232585, 'rsi_lag_5': 29.197075210852688, 'macd_lag_1': -0.504702319272166, 'macd_lag_2': -0.502544970979006, 'macd_lag_3': -0.5036817271791101, 'macd_lag_4': -0.46624277980141215, 'macd_lag_5': -0.45138438438824124, 'macd_12_26_9': -0.49744999980995885, 'macds_12_26_9': -0.4562078057655836}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 19.8700008392334, '2022-07-13': 20.07999992370605, '2022-07-14': 20.0, '2022-07-15': 20.20499992370605, '2022-07-18': 20.1200008392334, '2022-07-19': 20.1299991607666, '2022-07-20': 20.5, '2022-07-21': 20.75, '2022-07-22': 20.65999984741211, '2022-07-25': 20.6299991607666}, '1_month_later': {'2022-08-11': 21.82999992370605}, '3_months_later': {'2022-10-11': 18.690000534057617}, '6_months_later': {'2023-01-11': 20.34000015258789}, '12_months_later': {'2023-07-11': 21.270000457763672}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ACGL
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{'date': '2022-07-11', 'ticker': 'ACGL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.06999969482422, 'high': 44.7599983215332, 'open': 44.06999969482422, 'close': 44.59000015258789, 'ema_50': 45.47790991857632, 'rsi_14': 59.933207790131824, 'target': 44.18000030517578, 'volume': 1828300.0, 'ema_200': 44.550826475686506, 'adj_close': 44.59000015258789, 'rsi_lag_1': 65.90909214059099, 'rsi_lag_2': 54.78156264609104, 'rsi_lag_3': 51.05909840548363, 'rsi_lag_4': 52.43768572361429, 'rsi_lag_5': 54.01786436535948, 'macd_lag_1': -0.28067426573017684, 'macd_lag_2': -0.27427804585546056, 'macd_lag_3': -0.29572444257749453, 'macd_lag_4': -0.3126875547174919, 'macd_lag_5': -0.2992447063285937, 'macd_12_26_9': -0.27291441761010304, 'macds_12_26_9': -0.36458593762976815}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 44.18000030517578, '2022-07-13': 44.209999084472656, '2022-07-14': 42.470001220703125, '2022-07-15': 43.130001068115234, '2022-07-18': 43.09000015258789, '2022-07-19': 43.880001068115234, '2022-07-20': 43.7599983215332, '2022-07-21': 43.84999847412109, '2022-07-22': 43.66999816894531, '2022-07-25': 44.08000183105469}, '1_month_later': {'2022-08-11': 45.97999954223633}, '3_months_later': {'2022-10-11': 46.59000015258789}, '6_months_later': {'2023-01-11': 62.84999847412109}, '12_months_later': {'2023-07-11': 75.91999816894531}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ACHC
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{'date': '2022-07-11', 'ticker': 'ACHC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/factors-that-make-acadia-healthcare-achc-an-attractive-bet-now', 'news_author': None, 'news_article': 'Acadia Healthcare Company, Inc. ACHC is well-poised for growth, driven by continued top-line improvement on the back of a solid U.S. business, a broad healthcare network resulting from numerous joint ventures (JVs), solid financial guidance for 2022 and a robust financial position.\nZacks Rank & Price Performance\nAcadia Healthcare carries a Zacks Rank #2 (Buy) currently.\nThe stock has gained 18.5% over a year against the industry’s decline of 24.3%. The Zacks Medical sector and the S&P 500 composite have lost 16.4% and 11.3%, respectively, in the same time frame.\n\nImage Source: Zacks Investment Research\nFavorable Style Score\nAcadia Healthcare carries an impressive Value Score of B. Value Score helps find stocks that are undervalued. Back-tested results have shown that stocks with a favorable Value Score, when combined with a solid Zacks Rank, are the best investment bets.\nRobust Growth Prospects\nThe Zacks Consensus Estimate for ACHC’s 2022 earnings is pegged at $3.05 per share, indicating an increase of 19.1% on 12.1% higher revenues of $2.6 billion. The consensus mark for 2023 earnings stands at $3.30, suggesting growth of 8.3% on 8.3% higher revenues of $2.8 billion.\n\nThe expected long-term earnings growth rate is pegged at 12.5%, better than the industry’s average of 9.6%.\nSound Earnings Surprise History\nAcadia Healthcare boasts of a decent earnings surprise record. It has surpassed earnings estimates in two of the trailing four quarters, missed on one occasion and met once, the average surprise being 4.40%.\nSolid 2022 Outlook\nACHC projects revenues between $2.55 billion and $2.60 billion, the mid-point of which indicates an increase of nearly 12% from the 2021 reported figure. Adjusted EBITDA is estimated within $575-$610 million, the mid-point of the guidance suggesting 6% growth from the 2021 figure.\nAdjusted earnings per diluted share is expected in the $2.85-$3.15 band, implying growth of 17.2% from the 2021 level.\nBusiness Tailwinds\nRevenues of Acadia Healthcare continue to benefit on the back of a strong U.S. business that is currently gaining from solid patient volumes and operational efficiencies. Continued incidence of mental health issues among Americans is expected to sustain the solid demand for behavioral healthcare services, which in turn is likely to continue benefiting Acadia Healthcare’s revenues in the days ahead.\nAcadia Healthcare often resorts to JVs with renowned U.S. health systems to inaugurate new facilities or expand existing facilities. The recent JV with one of the most well-established integrated health systems of Massachusetts — Tufts Medicine, marks the 17th JV partnership of Acadia Healthcare. It also remains positive about the year 2022, which is likely to be the strongest year of ACHC with respect to JVs.\nIn addition to enhancing revenues, these growth-related efforts have diversified the healthcare network of Acadia Healthcare and enabled it to delve deeper into areas grappling with inaccessibility to care. The portfolio of ACHC comprised 238 behavioral healthcare facilities stretched throughout 40 states and Puerto Rico as of Mar 31, 2022.\nAcadia Healthcare boasts of a strong financial position, supported by cash reserves sufficient enough to service short-term debt obligations. In order to intensify focus on U.S. business and repay debts, ACHC divested its underperforming U.K. operations last year. Evidently, the transaction has been bearing fruits for Acadia Healthcare as its total debt load is witnessing a downtrend. It is worth mentioning that interest expenses tumbled 45.6% year over year in the first quarter of 2022. Its leverage ratio has been improving for a while.\nAcadia Healthcare has adequate cash-generating abilities in place, which paves the way for it to undertake uninterrupted business investments. ACHC had $440 million available under its $600-million revolving credit facility as of Mar 31, 2022.\nOther Stocks to Consider\nSome other top-ranked stocks in the Medical space include AMN Healthcare Services, Inc. AMN, Avantor, Inc. AVTR and ShockWave Medical, Inc. SWAV. While AMN Healthcare and ShockWave Medical sport a Zacks Rank #1 (Strong Buy), Avantor carries a Zacks Rank #2. You can see the complete list of today’s Zacks #1 Rank stocks here.\nAMN Healthcare’s earnings outpaced estimates in each of the trailing four quarters, the average surprise being 15.60%. The Zacks Consensus Estimate for AMN’s 2022 earnings suggests 29.6% year-over-year growth, while the same for revenues implies an improvement of 25.5%. AMN Healthcare’s consensus mark for 2022 earnings has moved north by 2.8% in the past 60 days.\nAvantor has a trailing four-quarter earnings surprise of 10.93%, on average. The Zacks Consensus Estimate for AVTR’s 2022 earnings indicates 7.1% year-over-year growth, while the same for revenues suggests 7.7% growth. Avantor has a Value Score of B.\nThe bottom line of ShockWave Medical outpaced estimates in each of the trailing four quarters, the average surprise being 189.99%. The Zacks Consensus Estimate for SWAV’s 2022 earnings is pegged at $2.05 per share, which compares favorably with the prior-year’s loss of 26 cents. The same for revenues indicate growth of 90.5%. ShockWave Medical’s consensus mark for 2022 earnings has moved north by 11.4% in the past 30 days.\nShares of AMN Healthcare and ShockWave Medical have gained 14.6% and 6.5%, respectively, in a year. However, Avantor stock has lost 13.7% in the same time frame.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nAMN Healthcare Services Inc (AMN): Free Stock Analysis Report\n \nAcadia Healthcare Company, Inc. (ACHC): Free Stock Analysis Report\n \nShockWave Medical, Inc. (SWAV): Free Stock Analysis Report\n \nAvantor, Inc. (AVTR): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Robust Growth Prospects The Zacks Consensus Estimate for ACHC’s 2022 earnings is pegged at $3.05 per share, indicating an increase of 19.1% on 12.1% higher revenues of $2.6 billion. Acadia Healthcare Company, Inc. ACHC is well-poised for growth, driven by continued top-line improvement on the back of a solid U.S. business, a broad healthcare network resulting from numerous joint ventures (JVs), solid financial guidance for 2022 and a robust financial position. Solid 2022 Outlook ACHC projects revenues between $2.55 billion and $2.60 billion, the mid-point of which indicates an increase of nearly 12% from the 2021 reported figure.', 'news_luhn_summary': 'Acadia Healthcare Company, Inc. (ACHC): Free Stock Analysis Report Acadia Healthcare Company, Inc. ACHC is well-poised for growth, driven by continued top-line improvement on the back of a solid U.S. business, a broad healthcare network resulting from numerous joint ventures (JVs), solid financial guidance for 2022 and a robust financial position. Robust Growth Prospects The Zacks Consensus Estimate for ACHC’s 2022 earnings is pegged at $3.05 per share, indicating an increase of 19.1% on 12.1% higher revenues of $2.6 billion.', 'news_article_title': 'Factors that Make Acadia Healthcare (ACHC) an Attractive Bet Now', 'news_lexrank_summary': 'Acadia Healthcare Company, Inc. ACHC is well-poised for growth, driven by continued top-line improvement on the back of a solid U.S. business, a broad healthcare network resulting from numerous joint ventures (JVs), solid financial guidance for 2022 and a robust financial position. Robust Growth Prospects The Zacks Consensus Estimate for ACHC’s 2022 earnings is pegged at $3.05 per share, indicating an increase of 19.1% on 12.1% higher revenues of $2.6 billion. Solid 2022 Outlook ACHC projects revenues between $2.55 billion and $2.60 billion, the mid-point of which indicates an increase of nearly 12% from the 2021 reported figure.', 'news_textrank_summary': 'Acadia Healthcare Company, Inc. ACHC is well-poised for growth, driven by continued top-line improvement on the back of a solid U.S. business, a broad healthcare network resulting from numerous joint ventures (JVs), solid financial guidance for 2022 and a robust financial position. Robust Growth Prospects The Zacks Consensus Estimate for ACHC’s 2022 earnings is pegged at $3.05 per share, indicating an increase of 19.1% on 12.1% higher revenues of $2.6 billion. Solid 2022 Outlook ACHC projects revenues between $2.55 billion and $2.60 billion, the mid-point of which indicates an increase of nearly 12% from the 2021 reported figure.'}, {'news_url': 'https://www.nasdaq.com/articles/zacks-industry-outlook-highlights-acadia-healthcare-pediatrix-medical-tenet-healthcare-and', 'news_author': None, 'news_article': 'For Immediate Release\nChicago, IL – July 11, 2022 – Today, Zacks Equity Research discusses Acadia Healthcare Co., Inc. ACHC, Pediatrix Medical Group, Inc. MD, Tenet Healthcare Corp.\'s THC, and Discover Financial Services DFS,\nIndustry: Medical - Hospital\nLink: https://www.zacks.com/commentary/1949753/2-top-hospital-stocks-to-buy-despite-industry-headwinds\nThe hospital operators are currently grappling with surplus supply, stiff competition, labor shortage and escalating operating expenses. Customers are deferring non-emergency medical needs due to financial stress, which in turn, is putting a lid on the Zacks Medical-Hospital industry players\' growth potential. However, resumption of non-urgent care procedures stimulated a recovery in patient volumes.\nThe rise in outpatient surgeries and patient days is benefiting the hospital industry. Improvement in technology and utilization of telehealth services are helping hospital companies optimize utility while lowering treatment costs. Leading industry players like Acadia Healthcare Co., Inc. and Pediatrix Medical Group, Inc. are set to benefit from these developments.\nAbout the Industry\nThe Zacks Medical-Hospital industry comprises for-profit hospital companies that provide healthcare through different types of hospitals, such as acute care, rehabilitation and psychiatric. These hospital entities are engaged in internal medicine, general surgery, cardiology, oncology, neurosurgery, orthopedics and obstetrics, telehealth services, mental health care, and diagnostic and emergency services, among others.\nRevenues of these companies depend on inpatient occupancy levels, the medical and ancillary services ordered by physicians and provided to patients and the volume of outpatient procedures. These hospital companies receive payments for patient services from the government under the Medicare program, Medicaid or similar programs, managed care plans (including plans offered through the American Health Benefit Exchanges), private insurers and directly from patients.\n4 Trends Defining the Hospital Industry\'s Future\nRising Costs: Due to increasing supplies expense, high salaries, wages and benefits, and other operating expenses, hospital companies are witnessing a decline in the bottom line. The ongoing labor shortage created further headaches for the industry players. Investments in growth projects will keep the costs ballooning, at least in the short term. These escalating expenses can put further pressure on the margins. This might trigger renegotiation of contracts with suppliers and vendors, as witnessed in Tenet Healthcare Corp.\'s case.\nRecovering Volumes: Thanks to the declining intensity of COVID-related headwinds, hospital companies are witnessing higher patient volumes and demand for elective procedures. The uptick in admissions, outpatient surgeries and other procedures will boost these companies\' results. The rising patient volumes are supported by the success of vaccination among the majority of the population. Higher patient days, emergency department volumes and deferred procedures will somewhat boost the hospital companies\' revenues.\nHowever, patients delaying non-emergency medical needs due to financial constraints, as found in a survey by Discover Financial Services, can be a major headwind. Per Discover Financial, 31% of Americans with medical debt are holding back from undergoing treatments recommended by the doctors.\nAging Population Growth: Demand for hospital services will continue to rise in the long term as the percentage of senior people in the total U.S. population is expected to increase. Per the U.S. Census Bureau\'s revised report that covered the census between 2020 and 2030, individuals aged above 65 years are projected to be one of the fastest-growing segments of the U.S. population, reflecting a climb from 17% to 21%.\nDue to the continuous advancements in science, nutrition and healthcare, the senior population is likely to witness constant growth as the segment is expected to live longer. This demographic change and the rising incidence of diseases will be an industry driver.\nTelehealth & Technology: The pandemic fueled the adoption of telehealth facilities in 2020 and 2021. The year 2022 is expected to see further improvement of technologies and innovations, which will support the uptake of telehealth and telemedicine services. The industry players are leveraging AI and automation along with real-time analytics to provide quality care.\nAI helps improve clinical workflow management and medical diagnosis that are aiding hospital companies. The companies are utilizing the virtual health domain to heighten their efficiency by limiting the patients\' waiting time and trimming their treatment costs. This should optimize hospital services, minimize unnecessary costs and enhance patient experience.\nZacks Industry Rank Indicates Bearish Outlook\nThe group\'s Zacks Industry Rank, which is basically the average of the Zacks Rank of all member stocks, indicates dull near-term prospects. The Zacks Medical-Hospital industry, which is housed within the broader Zacks Medical sector, currently carries a Zacks Industry Rank #202, which places it at the bottom 19% of nearly 250 Zacks industries. Our research shows that the top 50% of the Zacks-ranked industries outperforms the bottom 50% by a factor of more than 2 to 1.\nThe industry\'s positioning in the bottom 50% of the Zacks-ranked industries is a result of a negative earnings outlook for the constituent companies in aggregate. Looking at the aggregate earnings estimate revisions, it appears that analysts are pessimistic about this group\'s earnings growth potential. The industry\'s earnings estimates for 2022 have decreased 7% in the past year. Given the lackluster near-term prospects, companies in the space are expected to take a hit.\nBefore we present a couple of stocks that you may want to consider for your portfolio, let\'s take a look at the industry\'s recent stock-market performance and the valuation picture.\nIndustry Underperforms S&P 500 & Sector\nThe Zacks Medical-Hospital industry has underperformed the Zacks S&P 500 composite as well as its sector in the past year.\nDuring this time period, the stocks in this industry have declined 26.8% compared with the S&P 500\'s fall of 12.2% and the Zacks Medical sector\'s decrease of 18%.\nIndustry\'s Current Valuation\nOn the basis of the trailing 12-month EV/EBITDA (Enterprise Value/ Earnings Before Interest Tax Depreciation and Amortization) ratio, which is commonly used for valuing hospital stocks, the industry trades at 6.63X compared with the S&P 500\'s 12.31X and the sector\'s 7.76X.\nOver the past five years, the industry has traded as high as 8.58X, as low as 5.31X and at a median of 7.60X.\n2 Stocks to Buy\nWe are presenting two stocks with a Zacks Ranks #1 (Strong Buy) and 2 (Buy) from the Medical-Hospital industry. You can see the complete list of today\'s Zacks #1 Rank stocks here.\nAcadia Healthcare: ACHC provides behavioral health care services in the United States and Puerto Rico. Acadia Healthcare has been emphasizing on acquisitions for expedited growth. Buyouts added facilities, beds and hospitals to ACHC\'s network and contributed to its top line.\nACHC is also actively pursuing JVs with renowned healthcare systems, which is helping it expand its capabilities through bed additions. The year 2022 is likely to be its strongest year with respect to JVs as four or five facilities are expected to commence operations. The currently Zacks Rank #2 player\'s moves to streamline its portfolio to boost efficiency and profitability are also praiseworthy.\nAcadia Healthcare expects current-year revenues in the band of $2.55-$2.60 billion, indicating an increase from the 2021 level of $2.3 billion. Adjusted EBITDA is projected to be $575-$610 million, implying an increase from $558.7 million in 2021.\nAdjusted earnings per share are forecast within $2.85-$3.15, calling for a rise from the 2021 level of $2.56. ACHC beat on earnings twice in the last four quarters, met the mark once and missed estimates on another occasion, the average surprise being 4.4%. Shares of ACHC have jumped 7% in the past month.\nPediatrix Medical: Operational excellence, inorganic growth via strategic acquisitions and a strong segmental performance are boosting Pediatrix Medical\'s performance. It is expanding telehealth services to ensure access to healthcare even when patients stay at home.\nGiven the current situation and easy access, we expect this business line to generate high profits. MD is expected to boost its services across maternal-fetal medicine, neonatology and obstetrics, and 18 pediatric subspecialty offerings. Rising patient volumes will boost MD\'s profit levels in the coming days.\nMD expects revenues of $2 billion in 2022, indicating a 4.7% increase from the 2021 reported figure. It anticipates adjusted EBITDA at a minimum of $270 million, suggesting 1.7% growth from the 2021 figure. Pediatrix Medical beat on earnings in each of the last four quarters, the average being 18.5%. Shares of MD have rallied 17.1% in the past month. MD currently sports a Zacks Rank #1.\nWhy Haven\'t You Looked at Zacks\' Top Stocks?\nOur 5 best-performing strategies have blown away the S&P\'s impressive +28.8% gain in 2021. Amazingly, they soared +40.3%, +48.2%, +67.6%, +94.4%, and +95.3%. Today you can access their live picks without cost or obligation.\nSee Stocks Free >>\nJoin us on Facebook: https://www.facebook.com/ZacksInvestmentResearch/\nZacks Investment Research is under common control with affiliated entities (including a broker-dealer and an investment adviser), which may engage in transactions involving the foregoing securities for the clients of such affiliates.\nMedia Contact\nZacks Investment Research\n800-767-3771 ext. 9339\[email protected]\nhttps://www.zacks.com\nPast performance is no guarantee of future results. Inherent in any investment is the potential for loss. This material is being provided for informational purposes only and nothing herein constitutes investment, legal, accounting or tax advice, or a recommendation to buy, sell or hold a security. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. It should not be assumed that any investments in securities, companies, sectors or markets identified and described were or will be profitable. All information is current as of the date of herein and is subject to change without notice. Any views or opinions expressed may not reflect those of the firm as a whole. Zacks Investment Research does not engage in investment banking, market making or asset management activities of any securities. These returns are from hypothetical portfolios consisting of stocks with Zacks Rank = 1 that were rebalanced monthly with zero transaction costs. These are not the returns of actual portfolios of stocks. The S&P 500 is an unmanaged index. Visit https://www.zacks.com/performance for information about the performance numbers displayed in this press release.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nDiscover Financial Services (DFS): Free Stock Analysis Report\n \nTenet Healthcare Corporation (THC): Free Stock Analysis Report\n \nPediatrix Medical Group Inc. (MD): Free Stock Analysis Report\n \nAcadia Healthcare Company, Inc. (ACHC): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "For Immediate Release Chicago, IL – July 11, 2022 – Today, Zacks Equity Research discusses Acadia Healthcare Co., Inc. ACHC, Pediatrix Medical Group, Inc. MD, Tenet Healthcare Corp.'s THC, and Discover Financial Services DFS, Industry: Medical - Hospital Link: https://www.zacks.com/commentary/1949753/2-top-hospital-stocks-to-buy-despite-industry-headwinds The hospital operators are currently grappling with surplus supply, stiff competition, labor shortage and escalating operating expenses. Acadia Healthcare: ACHC provides behavioral health care services in the United States and Puerto Rico. Buyouts added facilities, beds and hospitals to ACHC's network and contributed to its top line.", 'news_luhn_summary': "For Immediate Release Chicago, IL – July 11, 2022 – Today, Zacks Equity Research discusses Acadia Healthcare Co., Inc. ACHC, Pediatrix Medical Group, Inc. MD, Tenet Healthcare Corp.'s THC, and Discover Financial Services DFS, Industry: Medical - Hospital Link: https://www.zacks.com/commentary/1949753/2-top-hospital-stocks-to-buy-despite-industry-headwinds The hospital operators are currently grappling with surplus supply, stiff competition, labor shortage and escalating operating expenses. Acadia Healthcare: ACHC provides behavioral health care services in the United States and Puerto Rico. Buyouts added facilities, beds and hospitals to ACHC's network and contributed to its top line.", 'news_article_title': 'Zacks Industry Outlook Highlights Acadia Healthcare, Pediatrix Medical, Tenet Healthcare and Discover Financial Services', 'news_lexrank_summary': "For Immediate Release Chicago, IL – July 11, 2022 – Today, Zacks Equity Research discusses Acadia Healthcare Co., Inc. ACHC, Pediatrix Medical Group, Inc. MD, Tenet Healthcare Corp.'s THC, and Discover Financial Services DFS, Industry: Medical - Hospital Link: https://www.zacks.com/commentary/1949753/2-top-hospital-stocks-to-buy-despite-industry-headwinds The hospital operators are currently grappling with surplus supply, stiff competition, labor shortage and escalating operating expenses. Acadia Healthcare: ACHC provides behavioral health care services in the United States and Puerto Rico. Buyouts added facilities, beds and hospitals to ACHC's network and contributed to its top line.", 'news_textrank_summary': "For Immediate Release Chicago, IL – July 11, 2022 – Today, Zacks Equity Research discusses Acadia Healthcare Co., Inc. ACHC, Pediatrix Medical Group, Inc. MD, Tenet Healthcare Corp.'s THC, and Discover Financial Services DFS, Industry: Medical - Hospital Link: https://www.zacks.com/commentary/1949753/2-top-hospital-stocks-to-buy-despite-industry-headwinds The hospital operators are currently grappling with surplus supply, stiff competition, labor shortage and escalating operating expenses. Acadia Healthcare: ACHC provides behavioral health care services in the United States and Puerto Rico. Buyouts added facilities, beds and hospitals to ACHC's network and contributed to its top line."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 73.05000305175781, 'high': 75.12999725341797, 'open': 74.47000122070312, 'close': 73.27999877929688, 'ema_50': 69.37905306582947, 'rsi_14': 71.29064309824744, 'target': 72.80000305175781, 'volume': 429400.0, 'ema_200': 64.25245593892852, 'adj_close': 73.27999877929688, 'rsi_lag_1': 72.92099967285597, 'rsi_lag_2': 70.81232756391488, 'rsi_lag_3': 71.88344114878163, 'rsi_lag_4': 64.56616750788456, 'rsi_lag_5': 57.37559992017861, 'macd_lag_1': 1.0456117059212886, 'macd_lag_2': 0.7305211947792145, 'macd_lag_3': 0.47961667439375333, 'macd_lag_4': 0.31326716273416366, 'macd_lag_5': 0.08926084019401515, 'macd_12_26_9': 1.1457466785167583, 'macds_12_26_9': 0.4649811947785088}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 72.80000305175781, '2022-07-13': 73.11000061035156, '2022-07-14': 73.7300033569336, '2022-07-15': 76.01000213623047, '2022-07-18': 74.9800033569336, '2022-07-19': 77.22000122070312, '2022-07-20': 77.0, '2022-07-21': 75.36000061035156, '2022-07-22': 77.58999633789062, '2022-07-25': 78.62999725341797}, '1_month_later': {'2022-08-11': 81.41000366210938}, '3_months_later': {'2022-10-11': 80.26000213623047}, '6_months_later': {'2023-01-11': 82.54000091552734}, '12_months_later': {'2023-07-11': 79.05000305175781}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ACI
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{'date': '2022-07-11', 'ticker': 'ACI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/walmart-likes-this-companys-technology-so-much-it-became-a-shareholder', 'news_author': None, 'news_article': 'Whether it be due to labor shortages, clogged ports, high fuel costs, or simply challenges in managing warehouse inventories, disruptions to global supply chains are an increasing source of consumer frustration. These disruptions are also costing U.S. companies billions of dollars. As a result, retailers around the world are scrambling to find more efficient ways of getting products onto their shelves.\nIn its first quarter 2022earnings conference call Walmart (NYSE: WMT) Chief Financial Officer Brett Biggs said "the first quarter was one of the most challenging periods yet related to supply chain disruptions, increased costs and persistently high inflation."\nNecessity is the mother of invention\nEnter Symbotic (NASDAQ: SYM), a leading supplier of warehouse automation. The company has developed cutting edge robotics and technologies that help Walmart and other large retailers address these challenges. While it may not be a household name in the investing community, millions of households buy products that have been either manufactured or distributed by Symbotic\'s management team.\nSymbotic\'s warehouse automation solution is an intricate system of robots, racks, and miniature autonomous forklifts, all coordinated by artificial intelligence software. The workhorse of the system is the Symbot, a driverless vehicle that looks like a mix between a go-kart and a forklift. After products arrive by truck at a customer\'s distribution center, they are removed from the pallets and sorted by AI-powered robots. A network of Symbots then efficiently collect, distribute, and store the products throughout the warehouse.\nImage source: Getty Images.\nSymbotic software coordinates this entire process, saving labor cost, increasing the pace of inventory flow, and maximizing warehouse and trailer storage space. The software also reacts quickly to inputs from store inventory managers, allowing the managers to get products that are in high demand onto shelves more rapidly. The end result is faster inventory turns, fewer product shortages, and ultimately, more satisfied customers.\nCan the Symbotic system revolutionize warehouse automation?\nAccording to Joe Metzger, Executive Vice President of US Supply Chain Operations at Walmart, the Symbotic system is "a game changer." Metzger and Walmart management were so impressed with Symbotic that they signed an agreement to implement the Symbotic system in all of Walmart\'s 42 distribution centers.\nAdditionally, Walmart has provided Symbotic with capital to fund the company\'s rapid expansion and currently holds 14% of Symbotic outstanding shares.\nSymbotic is currently providing its warehouse management systems to Walmart, Albertsons Companies Inc (NYSE: ACI), and C&S Wholesale Grocers (the multi-billion dollar parent company to Piggly Wiggly, Grocers Supply, and Grand Union.) Committed orders from these customers are expected to provide the company with years of rapid growth.\nWhile Symbotic only serves the grocery and general merchandise industries right now, management has the long term vision to add warehouse management solutions for companies in additional industries such as apparel, home improvement, and auto parts. Additionally, new Symbotic global investor Softbank (OTC: SFTBF) will likely be instrumental in helping the company extend its warehouse management solutions to leading retailers around the world. This extended runway of potential rapid growth has been one of the hallmarks of many top performing stocks over the long term.\nSymbotic shares started trading publicly on June 7, 2022 after completing its merger with a special purpose acquisition corporation (SPAC). After combining the additional funds raised in the SPAC merger transactions with the company\'s cash pre-merger, Symbotic now has nearly $450 million in capital to fund management\'s aggressive growth plans for years to come.\nA bumpy road\nSymbotic shares have been volatile post-merger, due in large part, to the limited number of shares trading publicly. The share price shot up wildly to $20 (over double the SPAC merger reference price) after short term traders misinterpreted an SEC filing detailing Walmart\'s pre-merger ownership position. After retracing almost all of this post-merger surge, the stock has since bounced back to the $16 range. Potential investors should expect continued volatility as more company shares become registered to trade publicly over the coming weeks and months. Savvy investors might see opportunity in such volatility, especially if the stock once again approaches the price Walmart and Softbank paid for their most recent Symbotic share purchases.\nWith a current market cap of just over $8 billion, Symbotic trades at a rich 11 times management\'s sales expectations for 2023. The company is on a rapid growth trajectory, however, as management expects revenue growth of 106% in 2022 and 92% in 2023 . Margins are also expected to expand over the coming years due to economies of scale.\nWalmart and Softbank bought shares. Should you?\nGiven the company\'s tremendous long term growth opportunity to improve the operating efficiency of the world\'s largest retailers, Symbotic shares may hold appeal to patient investors. According to Vikas J. Parekh, Managing Partner at SoftBank Investment Advisors, "We believe Symbotic is at the forefront of a more than $350 billion market opportunity to reinvent warehouse automation and reshape the global supply chain."\nOf this opportunity, the company has already booked $11 billion in committed orders which bodes well for sustainable growth through 2023 and beyond. With a massive total addressable market, "game changing" technology, proven management team, and strong current billing and operating trends, Symbotic checks many of the boxes investors should look for in promising long term growth opportunities.\n10 stocks we like better than Symbotic Inc.\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and Symbotic Inc. wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nJohn McHugh has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends SoftBank Group Corp. The Motley Fool recommends Softbank Group. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Symbotic is currently providing its warehouse management systems to Walmart, Albertsons Companies Inc (NYSE: ACI), and C&S Wholesale Grocers (the multi-billion dollar parent company to Piggly Wiggly, Grocers Supply, and Grand Union.) After retracing almost all of this post-merger surge, the stock has since bounced back to the $16 range. Whether it be due to labor shortages, clogged ports, high fuel costs, or simply challenges in managing warehouse inventories, disruptions to global supply chains are an increasing source of consumer frustration.', 'news_luhn_summary': 'Symbotic is currently providing its warehouse management systems to Walmart, Albertsons Companies Inc (NYSE: ACI), and C&S Wholesale Grocers (the multi-billion dollar parent company to Piggly Wiggly, Grocers Supply, and Grand Union.) After retracing almost all of this post-merger surge, the stock has since bounced back to the $16 range. Whether it be due to labor shortages, clogged ports, high fuel costs, or simply challenges in managing warehouse inventories, disruptions to global supply chains are an increasing source of consumer frustration.', 'news_article_title': "Walmart Likes This Company's Technology So Much It Became a Shareholder", 'news_lexrank_summary': 'Symbotic is currently providing its warehouse management systems to Walmart, Albertsons Companies Inc (NYSE: ACI), and C&S Wholesale Grocers (the multi-billion dollar parent company to Piggly Wiggly, Grocers Supply, and Grand Union.) After retracing almost all of this post-merger surge, the stock has since bounced back to the $16 range. Whether it be due to labor shortages, clogged ports, high fuel costs, or simply challenges in managing warehouse inventories, disruptions to global supply chains are an increasing source of consumer frustration.', 'news_textrank_summary': "Symbotic is currently providing its warehouse management systems to Walmart, Albertsons Companies Inc (NYSE: ACI), and C&S Wholesale Grocers (the multi-billion dollar parent company to Piggly Wiggly, Grocers Supply, and Grand Union.) After retracing almost all of this post-merger surge, the stock has since bounced back to the $16 range. Metzger and Walmart management were so impressed with Symbotic that they signed an agreement to implement the Symbotic system in all of Walmart's 42 distribution centers."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.56999969482422, 'high': 27.030000686645508, 'open': 26.8700008392334, 'close': 26.61000061035156, 'ema_50': 29.205296528829532, 'rsi_14': 45.58139225416538, 'target': 26.5, 'volume': 2297100.0, 'ema_200': 54.983491706524305, 'adj_close': 19.33490753173828, 'rsi_lag_1': 43.60400369419015, 'rsi_lag_2': 42.060076175265735, 'rsi_lag_3': 42.24599574100285, 'rsi_lag_4': 40.26503781838231, 'rsi_lag_5': 38.349517709359716, 'macd_lag_1': -0.7388015800473191, 'macd_lag_2': -0.7210981580776448, 'macd_lag_3': -0.7165224201745453, 'macd_lag_4': -0.6646237621379107, 'macd_lag_5': -0.5887149475218614, 'macd_12_26_9': -0.7697794324021565, 'macds_12_26_9': -0.651550001876756}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 26.5, '2022-07-13': 26.530000686645508, '2022-07-14': 26.420000076293945, '2022-07-15': 26.06999969482422, '2022-07-18': 26.31999969482422, '2022-07-19': 26.5, '2022-07-20': 26.86000061035156, '2022-07-21': 26.350000381469727, '2022-07-22': 26.5, '2022-07-25': 26.43000030517578}, '1_month_later': {'2022-08-11': 28.90999984741211}, '3_months_later': {'2022-10-11': 25.920000076293945}, '6_months_later': {'2023-01-11': 21.40999984741211}, '12_months_later': {'2023-07-11': 22.11000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
acio
|
{'date': '2022-07-11', 'ticker': 'acio', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.104999542236328, 'high': 29.26000022888184, 'open': 29.14999961853028, 'close': 29.11000061035156, 'ema_50': 29.491476314701316, 'rsi_14': 66.66666666666647, 'target': 28.86000061035156, 'volume': 21300.0, 'ema_200': 30.272453654712784, 'adj_close': 28.49862289428711, 'rsi_lag_1': 68.75000413921242, 'rsi_lag_2': 57.725929039964306, 'rsi_lag_3': 56.586830279768975, 'rsi_lag_4': 51.91450960099687, 'rsi_lag_5': 47.09711538163006, 'macd_lag_1': -0.08644634648332783, 'macd_lag_2': -0.11602826728663374, 'macd_lag_3': -0.15820690793826842, 'macd_lag_4': -0.1802138279672434, 'macd_lag_5': -0.19132492863357697, 'macd_12_26_9': -0.08063202618638599, 'macds_12_26_9': -0.1513629403651612}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 28.86000061035156, '2022-07-13': 28.8700008392334, '2022-07-14': 28.75, '2022-07-15': 29.020000457763672, '2022-07-18': 28.82999992370605, '2022-07-19': 29.47100067138672, '2022-07-20': 29.64999961853028, '2022-07-21': 29.90999984741211, '2022-07-22': 29.670000076293945, '2022-07-25': 29.709999084472656}, '1_month_later': {'2022-08-11': 30.920000076293945}, '3_months_later': {'2022-10-11': 28.239999771118164}, '6_months_later': {'2023-01-11': 29.270000457763672}, '12_months_later': {'2023-07-11': 30.950000762939453}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACIU
|
{'date': '2022-07-11', 'ticker': 'ACIU', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.1600000858306885, 'high': 3.3550000190734863, 'open': 3.259999990463257, 'close': 3.289999961853028, 'ema_50': 3.3739598529496986, 'rsi_14': 66.82926420794003, 'target': 3.299999952316284, 'volume': 29500.0, 'ema_200': 4.401744831971738, 'adj_close': 3.289999961853028, 'rsi_lag_1': 72.3214213489293, 'rsi_lag_2': 59.34065665349659, 'rsi_lag_3': 53.82059742770968, 'rsi_lag_4': 54.91525231952931, 'rsi_lag_5': 48.124998370185764, 'macd_lag_1': 0.0543086975278495, 'macd_lag_2': 0.06068158775540766, 'macd_lag_3': 0.06589671012962173, 'macd_lag_4': 0.07057639996285525, 'macd_lag_5': 0.0683955541476382, 'macd_12_26_9': 0.04391046960614853, 'macds_12_26_9': 0.03899380200854134}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 3.299999952316284, '2022-07-13': 3.450000047683716, '2022-07-14': 3.380000114440918, '2022-07-15': 3.359999895095825, '2022-07-18': 3.2300000190734863, '2022-07-19': 3.319999933242798, '2022-07-20': 3.309999942779541, '2022-07-21': 3.220000028610229, '2022-07-22': 3.25, '2022-07-25': 3.220000028610229}, '1_month_later': {'2022-08-11': 3.25}, '3_months_later': {'2022-10-11': 2.744999885559082}, '6_months_later': {'2023-01-11': 2.240000009536743}, '12_months_later': {'2023-07-11': 3.0}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACIW
|
{'date': '2022-07-11', 'ticker': 'ACIW', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.709999084472656, 'high': 27.280000686645508, 'open': 26.86000061035156, 'close': 27.15999984741211, 'ema_50': 26.959706304468114, 'rsi_14': 68.21562708948872, 'target': 27.0, 'volume': 658500.0, 'ema_200': 30.160690839823125, 'adj_close': 27.15999984741211, 'rsi_lag_1': 73.48839547499662, 'rsi_lag_2': 58.08823735656316, 'rsi_lag_3': 50.06915789870788, 'rsi_lag_4': 51.631202603734074, 'rsi_lag_5': 42.32258950510334, 'macd_lag_1': -0.014220449477878816, 'macd_lag_2': -0.08464125640109543, 'macd_lag_3': -0.17736529434090897, 'macd_lag_4': -0.17909877087450354, 'macd_lag_5': -0.19906976409754762, 'macd_12_26_9': 0.045103146930927096, 'macds_12_26_9': -0.10528283404492869}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 27.0, '2022-07-13': 26.239999771118164, '2022-07-14': 26.030000686645508, '2022-07-15': 26.81999969482422, '2022-07-18': 26.450000762939453, '2022-07-19': 27.25, '2022-07-20': 27.290000915527344, '2022-07-21': 27.450000762939453, '2022-07-22': 27.479999542236328, '2022-07-25': 27.32999992370605}, '1_month_later': {'2022-08-11': 26.1299991607666}, '3_months_later': {'2022-10-11': 21.61000061035156}, '6_months_later': {'2023-01-11': 26.799999237060547}, '12_months_later': {'2023-07-11': 22.6200008392334}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACLS
|
{'date': '2022-07-11', 'ticker': 'ACLS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.4900016784668, 'high': 51.91999816894531, 'open': 51.25, 'close': 51.09999847412109, 'ema_50': 56.553459731752454, 'rsi_14': 48.1879729917576, 'target': 52.70000076293945, 'volume': 157800.0, 'ema_200': 57.67477019977441, 'adj_close': 51.09999847412109, 'rsi_lag_1': 51.31578864813485, 'rsi_lag_2': 41.29569423650524, 'rsi_lag_3': 35.32694467530034, 'rsi_lag_4': 39.90627846408098, 'rsi_lag_5': 32.42089755126993, 'macd_lag_1': -2.023410609204902, 'macd_lag_2': -2.1505306826890163, 'macd_lag_3': -2.172556252169329, 'macd_lag_4': -1.8656499347013167, 'macd_lag_5': -1.531298033930156, 'macd_12_26_9': -1.9940897912477595, 'macds_12_26_9': -1.7229167459745096}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 52.70000076293945, '2022-07-13': 53.81999969482422, '2022-07-14': 54.59999847412109, '2022-07-15': 56.20000076293945, '2022-07-18': 56.15999984741211, '2022-07-19': 60.84000015258789, '2022-07-20': 64.73999786376953, '2022-07-21': 66.55000305175781, '2022-07-22': 63.650001525878906, '2022-07-25': 63.97999954223633}, '1_month_later': {'2022-08-11': 70.6500015258789}, '3_months_later': {'2022-10-11': 56.0099983215332}, '6_months_later': {'2023-01-11': 95.44000244140624}, '12_months_later': {'2023-07-11': 174.1199951171875}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACM
|
{'date': '2022-07-11', 'ticker': 'ACM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 64.12000274658203, 'high': 65.30999755859375, 'open': 64.69999694824219, 'close': 65.08999633789062, 'ema_50': 67.52847874156555, 'rsi_14': 61.4403544438263, 'target': 64.06999969482422, 'volume': 438300.0, 'ema_200': 68.96468753563956, 'adj_close': 64.39348602294922, 'rsi_lag_1': 63.66219452269531, 'rsi_lag_2': 52.70269906815537, 'rsi_lag_3': 48.36432807692628, 'rsi_lag_4': 46.716226254732625, 'rsi_lag_5': 44.11935791616054, 'macd_lag_1': -0.9690077644514616, 'macd_lag_2': -1.0588279378229117, 'macd_lag_3': -1.1855605745790854, 'macd_lag_4': -1.136618673815505, 'macd_lag_5': -1.0861273427501885, 'macd_12_26_9': -0.8891887926393593, 'macds_12_26_9': -1.1013659721219593}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 64.06999969482422, '2022-07-13': 63.79999923706055, '2022-07-14': 62.91999816894531, '2022-07-15': 63.959999084472656, '2022-07-18': 63.220001220703125, '2022-07-19': 66.44000244140625, '2022-07-20': 67.22000122070312, '2022-07-21': 68.05000305175781, '2022-07-22': 67.44999694824219, '2022-07-25': 68.66999816894531}, '1_month_later': {'2022-08-11': 74.94999694824219}, '3_months_later': {'2022-10-11': 72.4800033569336}, '6_months_later': {'2023-01-11': 83.98999786376953}, '12_months_later': {'2023-07-11': 87.30999755859375}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACMR
|
{'date': '2022-07-11', 'ticker': 'ACMR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.829999923706056, 'high': 16.719999313354492, 'open': 16.610000610351562, 'close': 15.890000343322754, 'ema_50': 15.779763192040244, 'rsi_14': 61.05499489286578, 'target': 15.4399995803833, 'volume': 517400.0, 'ema_200': 21.669899864613964, 'adj_close': 15.890000343322754, 'rsi_lag_1': 70.16029723592041, 'rsi_lag_2': 61.95005671584684, 'rsi_lag_3': 64.32553273128167, 'rsi_lag_4': 63.17606485863614, 'rsi_lag_5': 53.460378946353465, 'macd_lag_1': 0.4652374561949788, 'macd_lag_2': 0.39142052830914587, 'macd_lag_3': 0.34038277117174864, 'macd_lag_4': 0.2906525315958568, 'macd_lag_5': 0.2799692135294798, 'macd_12_26_9': 0.4340086812754542, 'macds_12_26_9': 0.29813765623012356}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 15.4399995803833, '2022-07-13': 15.59000015258789, '2022-07-14': 15.210000038146973, '2022-07-15': 15.699999809265137, '2022-07-18': 16.18000030517578, '2022-07-19': 16.56999969482422, '2022-07-20': 16.459999084472656, '2022-07-21': 16.93000030517578, '2022-07-22': 15.890000343322754, '2022-07-25': 15.40999984741211}, '1_month_later': {'2022-08-11': 19.15999984741211}, '3_months_later': {'2022-10-11': 7.96999979019165}, '6_months_later': {'2023-01-11': 10.31999969482422}, '12_months_later': {'2023-07-11': 13.050000190734863}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACNB
|
{'date': '2022-07-11', 'ticker': 'ACNB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.670000076293945, 'high': 31.51000022888184, 'open': 31.51000022888184, 'close': 30.989999771118164, 'ema_50': 32.37419595012317, 'rsi_14': 28.74317914950663, 'target': 30.770000457763672, 'volume': 36500.0, 'ema_200': 31.716272371161732, 'adj_close': 29.544198989868164, 'rsi_lag_1': 34.838722512152685, 'rsi_lag_2': 35.325504047668616, 'rsi_lag_3': 45.313929642994495, 'rsi_lag_4': 50.62499701976899, 'rsi_lag_5': 39.96195104086569, 'macd_lag_1': -0.6797617263782101, 'macd_lag_2': -0.7626676678479534, 'macd_lag_3': -0.7830650285610901, 'macd_lag_4': -0.8028004668866373, 'macd_lag_5': -0.8651856456769771, 'macd_12_26_9': -0.643755592364819, 'macds_12_26_9': -0.6338667917900864}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 30.770000457763672, '2022-07-13': 30.63999938964844, '2022-07-14': 29.8799991607666, '2022-07-15': 31.07999992370605, '2022-07-18': 31.200000762939453, '2022-07-19': 31.75, '2022-07-20': 31.75, '2022-07-21': 31.86000061035156, '2022-07-22': 31.770000457763672, '2022-07-25': 32.529998779296875}, '1_month_later': {'2022-08-11': 35.25}, '3_months_later': {'2022-10-11': 30.229999542236328}, '6_months_later': {'2023-01-11': 38.2400016784668}, '12_months_later': {'2023-07-11': 32.470001220703125}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACOR
|
{'date': '2022-07-11', 'ticker': 'ACOR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.199999809265137, 'high': 9.199999809265137, 'open': 8.600000381469727, 'close': 9.199999809265137, 'ema_50': 13.6648468681726, 'rsi_14': 26.315788152805737, 'target': 9.0, 'volume': 20685.0, 'ema_200': 37.89413682590189, 'adj_close': 9.199999809265137, 'rsi_lag_1': 26.315797398954174, 'rsi_lag_2': 54.23728772464483, 'rsi_lag_3': 58.461537107208166, 'rsi_lag_4': 60.31746151886405, 'rsi_lag_5': 58.730159270790395, 'macd_lag_1': -0.8210944479535094, 'macd_lag_2': -0.8255674767964738, 'macd_lag_3': -0.839632050891451, 'macd_lag_4': -0.8453707319960735, 'macd_lag_5': -0.9218536391972147, 'macd_12_26_9': -0.7763239350119786, 'macds_12_26_9': -0.9925844575941241}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 9.0, '2022-07-13': 9.0, '2022-07-14': 8.800000190734863, '2022-07-15': 9.0, '2022-07-18': 9.199999809265137, '2022-07-19': 10.0, '2022-07-20': 10.0, '2022-07-21': 9.399999618530272, '2022-07-22': 9.0, '2022-07-25': 9.0}, '1_month_later': {'2022-08-11': 9.199999809265137}, '3_months_later': {'2022-10-11': 7.199999809265137}, '6_months_later': {'2023-01-11': 17.399999618530273}, '12_months_later': {'2023-07-11': 14.4399995803833}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACES
|
{'date': '2022-07-11', 'ticker': 'ACES', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.720001220703125, 'high': 52.060001373291016, 'open': 52.060001373291016, 'close': 49.79999923706055, 'ema_50': 51.319867870946325, 'rsi_14': 54.28360207593836, 'target': 49.130001068115234, 'volume': 57000.0, 'ema_200': 57.97174139505901, 'adj_close': 48.8787956237793, 'rsi_lag_1': 73.00752384328649, 'rsi_lag_2': 56.72402894209636, 'rsi_lag_3': 54.245289081485915, 'rsi_lag_4': 51.968511229451266, 'rsi_lag_5': 41.55707858034683, 'macd_lag_1': -0.21748680340602533, 'macd_lag_2': -0.45756954463592336, 'macd_lag_3': -0.6748740011486518, 'macd_lag_4': -0.677690040988594, 'macd_lag_5': -0.6581905497618337, 'macd_12_26_9': -0.23431689752302987, 'macds_12_26_9': -0.4373537860823221}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 49.130001068115234, '2022-07-13': 49.40999984741211, '2022-07-14': 49.5, '2022-07-15': 48.95000076293945, '2022-07-18': 50.16999816894531, '2022-07-19': 51.380001068115234, '2022-07-20': 52.630001068115234, '2022-07-21': 53.220001220703125, '2022-07-22': 52.060001373291016, '2022-07-25': 52.20000076293945}, '1_month_later': {'2022-08-11': 65.06999969482422}, '3_months_later': {'2022-10-11': 52.209999084472656}, '6_months_later': {'2023-01-11': 49.40999984741211}, '12_months_later': {'2023-07-11': 47.20000076293945}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACP
|
{'date': '2022-07-11', 'ticker': 'ACP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.619999885559082, 'high': 7.679999828338623, 'open': 7.630000114440918, 'close': 7.639999866485596, 'ema_50': 8.279286584063733, 'rsi_14': 33.33326710582129, 'target': 7.659999847412109, 'volume': 53400.0, 'ema_200': 9.536361183710662, 'adj_close': 5.918210506439209, 'rsi_lag_1': 39.13037168493855, 'rsi_lag_2': 23.80949497579482, 'rsi_lag_3': 17.241379310344826, 'rsi_lag_4': 22.58064516129032, 'rsi_lag_5': 13.461532289456812, 'macd_lag_1': -0.23673121620577753, 'macd_lag_2': -0.25552163817339046, 'macd_lag_3': -0.2727338528451906, 'macd_lag_4': -0.282590413116651, 'macd_lag_5': -0.2910605622178002, 'macd_12_26_9': -0.2225024641430089, 'macds_12_26_9': -0.2610192610042453}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 7.659999847412109, '2022-07-13': 7.650000095367432, '2022-07-14': 7.650000095367432, '2022-07-15': 7.699999809265137, '2022-07-18': 7.650000095367432, '2022-07-19': 7.849999904632568, '2022-07-20': 7.989999771118164, '2022-07-21': 7.949999809265137, '2022-07-22': 7.929999828338623, '2022-07-25': 7.96999979019165}, '1_month_later': {'2022-08-11': 8.720000267028809}, '3_months_later': {'2022-10-11': 6.579999923706055}, '6_months_later': {'2023-01-11': 7.019999980926514}, '12_months_later': {'2023-07-11': 6.809999942779541}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACRS
|
{'date': '2022-07-11', 'ticker': 'ACRS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.470000267028809, 'high': 16.43000030517578, 'open': 16.25, 'close': 15.489999771118164, 'ema_50': 14.432269508171242, 'rsi_14': 49.350649886813095, 'target': 15.31999969482422, 'volume': 313500.0, 'ema_200': 14.511993040399625, 'adj_close': 15.489999771118164, 'rsi_lag_1': 58.36956691877191, 'rsi_lag_2': 60.62639770913312, 'rsi_lag_3': 61.06194811631368, 'rsi_lag_4': 60.13590130603714, 'rsi_lag_5': 46.7656431674085, 'macd_lag_1': 0.5080397021802785, 'macd_lag_2': 0.4363486767774454, 'macd_lag_3': 0.3069343870687504, 'macd_lag_4': 0.2044901779469761, 'macd_lag_5': 0.19905064447483412, 'macd_12_26_9': 0.49061196000337226, 'macds_12_26_9': 0.40942470761992183}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 15.31999969482422, '2022-07-13': 15.84000015258789, '2022-07-14': 15.220000267028809, '2022-07-15': 15.239999771118164, '2022-07-18': 15.06999969482422, '2022-07-19': 16.110000610351562, '2022-07-20': 16.079999923706055, '2022-07-21': 15.899999618530272, '2022-07-22': 15.06999969482422, '2022-07-25': 15.359999656677246}, '1_month_later': {'2022-08-11': 16.799999237060547}, '3_months_later': {'2022-10-11': 15.15999984741211}, '6_months_later': {'2023-01-11': 16.540000915527344}, '12_months_later': {'2023-07-11': 10.59000015258789}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ACSI
|
{'date': '2022-07-11', 'ticker': 'ACSI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.040000915527344, 'high': 43.040000915527344, 'open': 43.040000915527344, 'close': 43.040000915527344, 'ema_50': 44.16407857606656, 'rsi_14': 64.0197230045521, 'target': 42.90599822998047, 'volume': 100.0, 'ema_200': 47.26630547024169, 'adj_close': 42.27410507202149, 'rsi_lag_1': 73.57662150718751, 'rsi_lag_2': 59.502905011752546, 'rsi_lag_3': 59.84551307385951, 'rsi_lag_4': 60.68429182395234, 'rsi_lag_5': 48.6754681365176, 'macd_lag_1': -0.22141439879899139, 'macd_lag_2': -0.3152050834292339, 'macd_lag_3': -0.425545756851875, 'macd_lag_4': -0.48779824543211703, 'macd_lag_5': -0.5549672172615701, 'macd_12_26_9': -0.20428013976409432, 'macds_12_26_9': -0.42568241311719807}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 42.90599822998047, '2022-07-13': 42.72499847412109, '2022-07-14': 42.505001068115234, '2022-07-15': 43.36000061035156, '2022-07-18': 43.125, '2022-07-19': 44.255001068115234, '2022-07-20': 44.56900024414063, '2022-07-21': 44.77999877929688, '2022-07-22': 44.30400085449219, '2022-07-25': 44.32400131225586}, '1_month_later': {'2022-08-11': 47.58300018310547}, '3_months_later': {'2022-10-11': 40.869998931884766}, '6_months_later': {'2023-01-11': 43.5890007019043}, '12_months_later': {'2023-07-11': 47.1259994506836}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACST
|
{'date': '2022-07-11', 'ticker': 'ACST', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.21999979019165, 'high': 5.519999980926514, 'open': 5.400000095367432, 'close': 5.340000152587891, 'ema_50': 5.731534085855379, 'rsi_14': 42.307697010229994, 'target': 5.21999979019165, 'volume': 6600.0, 'ema_200': 8.828121916243859, 'adj_close': 5.340000152587891, 'rsi_lag_1': 50.0, 'rsi_lag_2': 40.625004656615005, 'rsi_lag_3': 34.48274917087828, 'rsi_lag_4': 29.03224317885426, 'rsi_lag_5': 22.580633583553322, 'macd_lag_1': -0.1595203359955244, 'macd_lag_2': -0.18017496280759637, 'macd_lag_3': -0.1978079655784315, 'macd_lag_4': -0.1991095785432604, 'macd_lag_5': -0.1917656855929124, 'macd_12_26_9': -0.14630636072636616, 'macds_12_26_9': -0.16060279632373692}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 5.21999979019165, '2022-07-13': 5.340000152587891, '2022-07-14': 5.340000152587891, '2022-07-15': 5.28000020980835, '2022-07-18': 5.099999904632568, '2022-07-19': 5.21999979019165, '2022-07-20': 5.21999979019165, '2022-07-21': 5.28000020980835, '2022-07-22': 5.159999847412109, '2022-07-25': 5.099999904632568}, '1_month_later': {'2022-08-11': 5.400000095367432}, '3_months_later': {'2022-10-11': 3.299999952316284}, '6_months_later': {'2023-01-11': 4.139999866485596}, '12_months_later': {'2023-07-11': 2.380000114440918}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACT
|
{'date': '2022-07-11', 'ticker': 'ACT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/10.4-of-fpx-holdings-seeing-recent-insider-buys', 'news_author': None, 'news_article': "A look at the weighted underlying holdings of the First Trust US Equity Opportunities ETF (FPX) shows an impressive 10.4% of holdings on a weighted basis have experienced insider buying within the past six months.\nEnact Holdings Inc (Symbol: ACT), which makes up 0.63% of the First Trust US Equity Opportunities ETF (FPX), has seen 3 directors and officers purchase shares in the past six months, according to the recent Form 4 data. The ETF holds a total of $6,603,061 worth of ACT, making it the #50 largest holding. The table below details the recent insider buying activity observed at ACT:\nACT — last trade: $21.69 — Recent Insider Buys:\nPURCHASED INSIDER TITLE SHARES PRICE/SHARE VALUE\n02/07/2022 Rohit Gupta President and CEO 4,750 $21.35 $101,422\n03/08/2022 Brian Gould EVP & Chief Operations Officer 5,000 $19.93 $99,655\n05/10/2022 Michael A. Bless Director 5,000 $22.04 $110,180\nAnd WillScot Mobile Mini Holdings Corp (Symbol: WSC), the #87 largest holding among components of the First Trust US Equity Opportunities ETF (FPX), shows 2 directors and officers as recently filing Form 4's indicating purchases. The ETF holds $1,796,486 worth of WSC, which represents approximately 0.17% of the ETF's total assets at last check. The recent insider buying activity observed at WSC is detailed in the table below:\nWSC — last trade: $32.44 — Recent Insider Buys:\nPURCHASED INSIDER TITLE SHARES PRICE/SHARE VALUE\n03/18/2022 Rebecca L. Owen Director 5,250 $38.34 $201,285\n05/09/2022 Bradley Lee Soultz Chief Executive Officer 10,000 $33.33 $333,290\n05/18/2022 Bradley Lee Soultz Chief Executive Officer 2,500 $34.20 $85,498\n10 ETFs With Stocks That Insiders Are Buying »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'Enact Holdings Inc (Symbol: ACT), which makes up 0.63% of the First Trust US Equity Opportunities ETF (FPX), has seen 3 directors and officers purchase shares in the past six months, according to the recent Form 4 data. The ETF holds a total of $6,603,061 worth of ACT, making it the #50 largest holding. The table below details the recent insider buying activity observed at ACT: ACT — last trade: $21.69 — Recent Insider Buys:', 'news_luhn_summary': 'The table below details the recent insider buying activity observed at ACT: ACT — last trade: $21.69 — Recent Insider Buys: The recent insider buying activity observed at WSC is detailed in the table below: WSC — last trade: $32.44 — Recent Insider Buys: Enact Holdings Inc (Symbol: ACT), which makes up 0.63% of the First Trust US Equity Opportunities ETF (FPX), has seen 3 directors and officers purchase shares in the past six months, according to the recent Form 4 data.', 'news_article_title': '10.4% of FPX Holdings Seeing Recent Insider Buys', 'news_lexrank_summary': 'Enact Holdings Inc (Symbol: ACT), which makes up 0.63% of the First Trust US Equity Opportunities ETF (FPX), has seen 3 directors and officers purchase shares in the past six months, according to the recent Form 4 data. The ETF holds a total of $6,603,061 worth of ACT, making it the #50 largest holding. The table below details the recent insider buying activity observed at ACT: ACT — last trade: $21.69 — Recent Insider Buys:', 'news_textrank_summary': 'Enact Holdings Inc (Symbol: ACT), which makes up 0.63% of the First Trust US Equity Opportunities ETF (FPX), has seen 3 directors and officers purchase shares in the past six months, according to the recent Form 4 data. The ETF holds a total of $6,603,061 worth of ACT, making it the #50 largest holding. The table below details the recent insider buying activity observed at ACT: ACT — last trade: $21.69 — Recent Insider Buys:'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.57999992370605, 'high': 21.93000030517578, 'open': 21.57999992370605, 'close': 21.8799991607666, 'ema_50': 22.371755769492996, 'rsi_14': 53.81262258568532, 'target': 22.350000381469727, 'volume': 106000.0, 'ema_200': 22.29366455278026, 'adj_close': 19.706132888793945, 'rsi_lag_1': 52.46638190430415, 'rsi_lag_2': 40.81271251267915, 'rsi_lag_3': 41.02114301851911, 'rsi_lag_4': 49.33554906747484, 'rsi_lag_5': 42.36803862365148, 'macd_lag_1': -0.4473847857285449, 'macd_lag_2': -0.4901245593346708, 'macd_lag_3': -0.5344923523249889, 'macd_lag_4': -0.5365110852888755, 'macd_lag_5': -0.5618293018956457, 'macd_12_26_9': -0.39364422039393077, 'macds_12_26_9': -0.4835989207793156}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 22.350000381469727, '2022-07-13': 22.0, '2022-07-14': 21.34000015258789, '2022-07-15': 21.979999542236328, '2022-07-18': 20.950000762939453, '2022-07-19': 21.82999992370605, '2022-07-20': 21.950000762939453, '2022-07-21': 21.96999931335449, '2022-07-22': 21.809999465942383, '2022-07-25': 22.34000015258789}, '1_month_later': {'2022-08-11': 26.739999771118164}, '3_months_later': {'2022-10-11': 23.200000762939453}, '6_months_later': {'2023-01-11': 23.799999237060547}, '12_months_later': {'2023-07-11': 26.18000030517578}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACTG
|
{'date': '2022-07-11', 'ticker': 'ACTG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.019999980926514, 'high': 5.28000020980835, 'open': 5.110000133514404, 'close': 5.21999979019165, 'ema_50': 4.668029833961169, 'rsi_14': 69.48357396083038, 'target': 5.150000095367432, 'volume': 677600.0, 'ema_200': 4.76687942955843, 'adj_close': 5.21999979019165, 'rsi_lag_1': 70.45455382875429, 'rsi_lag_2': 59.8130886935193, 'rsi_lag_3': 60.90909465285486, 'rsi_lag_4': 58.51529502698191, 'rsi_lag_5': 48.26087064688995, 'macd_lag_1': 0.10813427876035409, 'macd_lag_2': 0.08856106281366927, 'macd_lag_3': 0.08978126796785624, 'macd_lag_4': 0.10123274914680547, 'macd_lag_5': 0.11437652695489131, 'macd_12_26_9': 0.12861888028191082, 'macds_12_26_9': 0.10275376268692957}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 5.150000095367432, '2022-07-13': 5.090000152587891, '2022-07-14': 5.019999980926514, '2022-07-15': 4.909999847412109, '2022-07-18': 4.820000171661377, '2022-07-19': 4.840000152587891, '2022-07-20': 4.880000114440918, '2022-07-21': 4.809999942779541, '2022-07-22': 4.800000190734863, '2022-07-25': 4.710000038146973}, '1_month_later': {'2022-08-11': 4.829999923706055}, '3_months_later': {'2022-10-11': 3.799999952316284}, '6_months_later': {'2023-01-11': 4.130000114440918}, '12_months_later': {'2023-07-11': 4.099999904632568}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACV
|
{'date': '2022-07-11', 'ticker': 'ACV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.21500015258789, 'high': 20.93000030517578, 'open': 20.670000076293945, 'close': 20.57999992370605, 'ema_50': 21.118819898743173, 'rsi_14': 77.28534768478721, 'target': 20.36000061035156, 'volume': 29000.0, 'ema_200': 26.126747222018828, 'adj_close': 17.4914493560791, 'rsi_lag_1': 78.1513112376149, 'rsi_lag_2': 62.2767803924374, 'rsi_lag_3': 64.57023446409465, 'rsi_lag_4': 65.53191523899503, 'rsi_lag_5': 46.499998251596494, 'macd_lag_1': -0.14369974463369317, 'macd_lag_2': -0.2059563081824578, 'macd_lag_3': -0.28547701506682444, 'macd_lag_4': -0.35940382551601147, 'macd_lag_5': -0.4638063145503679, 'macd_12_26_9': -0.10126286921120808, 'macds_12_26_9': -0.32538414546582445}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 20.36000061035156, '2022-07-13': 20.15999984741211, '2022-07-14': 19.88999938964844, '2022-07-15': 20.18000030517578, '2022-07-18': 20.1299991607666, '2022-07-19': 20.780000686645508, '2022-07-20': 21.13999938964844, '2022-07-21': 21.290000915527344, '2022-07-22': 20.959999084472656, '2022-07-25': 20.979999542236328}, '1_month_later': {'2022-08-11': 23.21999931335449}, '3_months_later': {'2022-10-11': 18.13999938964844}, '6_months_later': {'2023-01-11': 20.56999969482422}, '12_months_later': {'2023-07-11': 20.18000030517578}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACWI
|
{'date': '2022-07-11', 'ticker': 'ACWI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 84.08999633789062, 'high': 84.7699966430664, 'open': 84.68000030517578, 'close': 84.23999786376953, 'ema_50': 88.13995412332011, 'rsi_14': 60.03473326969986, 'target': 83.72000122070312, 'volume': 4357500.0, 'ema_200': 94.91319663275773, 'adj_close': 81.96957397460938, 'rsi_lag_1': 66.82781346520218, 'rsi_lag_2': 54.19607472374128, 'rsi_lag_3': 53.94321519812947, 'rsi_lag_4': 52.45903299158921, 'rsi_lag_5': 43.1045789056941, 'macd_lag_1': -1.134588714309487, 'macd_lag_2': -1.2795712235966903, 'macd_lag_3': -1.4521193004297857, 'macd_lag_4': -1.5147948883668931, 'macd_lag_5': -1.5605406648439981, 'macd_12_26_9': -1.10459278682805, 'macds_12_26_9': -1.404523558733581}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 83.72000122070312, '2022-07-13': 83.37999725341797, '2022-07-14': 82.80999755859375, '2022-07-15': 84.22000122070312, '2022-07-18': 83.98999786376953, '2022-07-19': 86.12000274658203, '2022-07-20': 86.38999938964844, '2022-07-21': 87.2699966430664, '2022-07-22': 86.52999877929688, '2022-07-25': 86.80000305175781}, '1_month_later': {'2022-08-11': 91.38999938964844}, '3_months_later': {'2022-10-11': 77.7300033569336}, '6_months_later': {'2023-01-11': 88.66999816894531}, '12_months_later': {'2023-07-11': 95.6999969482422}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACWV
|
{'date': '2022-07-11', 'ticker': 'ACWV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 95.02999877929688, 'high': 95.66999816894533, 'open': 95.02999877929688, 'close': 95.19000244140624, 'ema_50': 96.78558057010324, 'rsi_14': 71.4576802142139, 'target': 94.87999725341795, 'volume': 184100.0, 'ema_200': 100.71946691116918, 'adj_close': 91.74349212646484, 'rsi_lag_1': 74.813234593635, 'rsi_lag_2': 67.5337571396966, 'rsi_lag_3': 68.3270890323783, 'rsi_lag_4': 62.78434966122407, 'rsi_lag_5': 55.64513945801733, 'macd_lag_1': -0.3460141350639532, 'macd_lag_2': -0.4353936608554534, 'macd_lag_3': -0.5655415629975664, 'macd_lag_4': -0.6776129056378011, 'macd_lag_5': -0.7731274974191678, 'macd_12_26_9': -0.3119302999274396, 'macds_12_26_9': -0.6846394877608671}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 94.87999725341795, '2022-07-13': 94.55999755859376, '2022-07-14': 94.01000213623048, '2022-07-15': 94.87999725341795, '2022-07-18': 94.23999786376952, '2022-07-19': 95.37000274658205, '2022-07-20': 94.98999786376952, '2022-07-21': 95.70999908447266, '2022-07-22': 95.61000061035156, '2022-07-25': 95.66999816894533}, '1_month_later': {'2022-08-11': 98.5999984741211}, '3_months_later': {'2022-10-11': 88.45999908447266}, '6_months_later': {'2023-01-11': 96.75}, '12_months_later': {'2023-07-11': 97.4800033569336}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ACWX
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{'date': '2022-07-11', 'ticker': 'ACWX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.97999954223633, 'high': 44.290000915527344, 'open': 44.25, 'close': 44.02999877929688, 'ema_50': 46.95669088622804, 'rsi_14': 47.179467115301904, 'target': 43.95000076293945, 'volume': 2352100.0, 'ema_200': 51.10901524772468, 'adj_close': 42.36458206176758, 'rsi_lag_1': 54.33070333989394, 'rsi_lag_2': 43.961344347851714, 'rsi_lag_3': 43.78027804808003, 'rsi_lag_4': 44.065034800639864, 'rsi_lag_5': 38.76965745171315, 'macd_lag_1': -0.8284302160106094, 'macd_lag_2': -0.8830863542872365, 'macd_lag_3': -0.9369481480968176, 'macd_lag_4': -0.9136669997964191, 'macd_lag_5': -0.8798257387776474, 'macd_12_26_9': -0.8463671704753111, 'macds_12_26_9': -0.8832063650765939}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 43.95000076293945, '2022-07-13': 43.88999938964844, '2022-07-14': 43.310001373291016, '2022-07-15': 43.869998931884766, '2022-07-18': 44.09999847412109, '2022-07-19': 45.130001068115234, '2022-07-20': 44.880001068115234, '2022-07-21': 45.400001525878906, '2022-07-22': 45.11000061035156, '2022-07-25': 45.43000030517578}, '1_month_later': {'2022-08-11': 46.959999084472656}, '3_months_later': {'2022-10-11': 39.81999969482422}, '6_months_later': {'2023-01-11': 48.15999984741211}, '12_months_later': {'2023-07-11': 49.0099983215332}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ADAP
|
{'date': '2022-07-11', 'ticker': 'ADAP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.7100000381469729, 'high': 1.850000023841858, 'open': 1.840000033378601, 'close': 1.7100000381469729, 'ema_50': 1.73007385802735, 'rsi_14': 45.97701590416124, 'target': 1.7599999904632568, 'volume': 188200.0, 'ema_200': 2.7405332638960145, 'adj_close': 1.7100000381469729, 'rsi_lag_1': 65.16853646638529, 'rsi_lag_2': 63.21839001711406, 'rsi_lag_3': 64.04494216474936, 'rsi_lag_4': 57.47126405282259, 'rsi_lag_5': 52.688169286408126, 'macd_lag_1': 0.04431178871860442, 'macd_lag_2': 0.033625800635837644, 'macd_lag_3': 0.02255203401517991, 'macd_lag_4': 0.01928985285384055, 'macd_lag_5': 0.021972821834250755, 'macd_12_26_9': 0.039415493853895756, 'macds_12_26_9': 0.027758755935316622}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 1.7599999904632568, '2022-07-13': 1.7599999904632568, '2022-07-14': 1.7200000286102295, '2022-07-15': 1.7100000381469729, '2022-07-18': 1.7200000286102295, '2022-07-19': 1.809999942779541, '2022-07-20': 1.840000033378601, '2022-07-21': 1.899999976158142, '2022-07-22': 1.820000052452088, '2022-07-25': 1.809999942779541}, '1_month_later': {'2022-08-11': 2.25}, '3_months_later': {'2022-10-11': 1.090000033378601}, '6_months_later': {'2023-01-11': 1.7899999618530271}, '12_months_later': {'2023-07-11': 0.9340000152587892}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADBE
|
{'date': '2022-07-11', 'ticker': 'ADBE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/3-companies-that-might-acquire-docusign', 'news_author': None, 'news_article': "DocuSign (NASDAQ: DOCU), the maker of digital signature software, is having a horrible year. The company's stock is down nearly 79% from last year's all-time high. Moreover, chief executive officer Dan Springer stepped down on June 21, less than two weeks after the company reported dismal fiscal 2023 first-quarter earnings results (for the quarter ending April 30).\nWith its stock price languishing and its leadership in flux, some analysts think that DocuSign could be an acquisition target. There are at least three companies out there that are potential candidates. Let's explore which companies might consider putting in an offer for DocuSign and the business case for each.\n1. Microsoft\nAs one of the world's largest corporations, Microsoft (NASDAQ: MSFT) has more than enough resources to swallow up DocuSign without missing a beat. That said, Washington-based Microsoft is already in the midst of an increasingly challenging acquisition of Activision Blizzard that might preclude it from taking on another purchase right now.\nLast Wednesday, the U.K.'s Competition and Markets Authority (CMA) announced it was investigating Microsoft's Activision acquisition and would render an initial decision before the end of August. If the initial decision goes against Microsoft, it's possible it might table the Activision deal in favor of gobbling up the much smaller DocuSign. After all, Microsoft already has a strategic partnership with DocuSign.\nIn terms of likelihood, I'd rank this scenario as a 7 out of 10.\n2. Adobe\nAnother potential bidder for DocuSign is Adobe (NASDAQ: ADBE). Yet the more you dig under the hood here, the less this deal makes sense. Adobe has its own similar product offering -- Adobe Sign -- that is compatible with Windows, MacOS, iOS, and Android. Moreover, Adobe has only $5.3 billion in cash on hand. Therefore, it would likely need to raise funds via debt offering or dilute its own shares to complete the acquisition.\nMSFT Cash and Short Term Investments (Quarterly) data by YCharts\nI think the likelihood of Adobe putting in an offer is low; I rank it as 2 out of 10.\n3. Zoom Video Communications\nThe business case for Zoom Video Communications (NASDAQ: ZM) makes a great deal of sense. A combined Zoom/DocuSign company would address some of the most critical applications necessary for remote work: video conferencing and digital signatures.\nZM Market Cap data by YCharts\nHowever, unlike Microsoft or Adobe, Zoom would likely be gambling its future on the deal. After peaking at $119 billion in 2021, Zoom's market cap is now only $36 billion; it has less than $5.7 billion of cash on hand. To complete a deal for DocuSign, which has a market cap of $13 billion, Zoom would need to raise more cash or issue stock -- either of which may drive its stock lower.\nWhile the business case is strong, I don't see a deal here in the near term; I rank it 4 out of 10.\nIs DocuSign stock a buy now?\nThe prospect of an acquisition does raise DocuSign's appeal as a stock, and investors with a high appetite for risk might be enticed to jump in with both feet right now.\nHowever, when I think of DocuSign, only one word comes to mind: uncertainty. Its CEO has just stepped down; its most recent earnings report disappointed Wall Street. For me, this is a situation that can be safely avoided until some clarity emerges. In a few months, DocuSign may have a new strategy that is more appealing. But for now, I view it as a wait-and-see story.\n10 stocks we like better than DocuSign\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and DocuSign wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nJake Lerch has positions in Activision Blizzard and Adobe Inc. The Motley Fool has positions in and recommends Activision Blizzard, Adobe Inc., DocuSign, Microsoft, and Zoom Video Communications. The Motley Fool recommends the following options: long January 2024 $420 calls on Adobe Inc., long January 2024 $60 calls on DocuSign, and short January 2024 $430 calls on Adobe Inc. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Adobe Another potential bidder for DocuSign is Adobe (NASDAQ: ADBE). Moreover, chief executive officer Dan Springer stepped down on June 21, less than two weeks after the company reported dismal fiscal 2023 first-quarter earnings results (for the quarter ending April 30). Last Wednesday, the U.K.'s Competition and Markets Authority (CMA) announced it was investigating Microsoft's Activision acquisition and would render an initial decision before the end of August.", 'news_luhn_summary': 'Adobe Another potential bidder for DocuSign is Adobe (NASDAQ: ADBE). Zoom Video Communications The business case for Zoom Video Communications (NASDAQ: ZM) makes a great deal of sense. The Motley Fool has positions in and recommends Activision Blizzard, Adobe Inc., DocuSign, Microsoft, and Zoom Video Communications.', 'news_article_title': '3 Companies That Might Acquire DocuSign', 'news_lexrank_summary': 'Adobe Another potential bidder for DocuSign is Adobe (NASDAQ: ADBE). Zoom Video Communications The business case for Zoom Video Communications (NASDAQ: ZM) makes a great deal of sense. To complete a deal for DocuSign, which has a market cap of $13 billion, Zoom would need to raise more cash or issue stock -- either of which may drive its stock lower.', 'news_textrank_summary': 'Adobe Another potential bidder for DocuSign is Adobe (NASDAQ: ADBE). To complete a deal for DocuSign, which has a market cap of $13 billion, Zoom would need to raise more cash or issue stock -- either of which may drive its stock lower. The Motley Fool has positions in and recommends Activision Blizzard, Adobe Inc., DocuSign, Microsoft, and Zoom Video Communications.'}, {'news_url': 'https://www.nasdaq.com/articles/3-best-software-stocks-to-buy-in-2022-and-beyond-1', 'news_author': None, 'news_article': 'Software stocks led the market higher in 2020 and 2021 as software-as-a-service companies could seemingly do no wrong in the eyes of investors. However, after two years of incredible performance, these stocks have taken a big hit in 2022 as investors worry about inflation and interest rate hikes.\nWhile sentiment has shifted for now, many software companies are still great businesses to own for the long term because they feature strong margins and durable recurring revenue -- the types of companies you want to have in your portfolio a decade from now.\nLet\'s look at three of the top software stocks to buy and hold for 2022 and beyond.\nImage source: Getty Images.\n1. Adobe\nIt often doesn\'t pay to overthink things when looking for good investments. Adobe (NASDAQ: ADBE) is one of the biggest and best-known software stocks, and for good reason. Over the last 10 years, this software juggernaut has given shareholders a return of over 1,100%. This return would be even more impressive if not for a 35% decline this year, which creates an opportunity to buy shares of this market leader at a discount.\nAdobe is best known to most investors for its creative software like Photoshop and Illustrator. And its Acrobat software allows users to create, read, and edit PDFs. These products are part of the Creative Cloud subscription within Adobe\'s Digital Media segment.\nThis is a highly profitable business that just grew revenue 15% year over year in the most recent quarter despite being around for a long time. Adobe has a wide moat as the category\'s creator and it\'s the industry standard that professionals are already familiar with.\nAdobe\'s growing Digital Experience business centered around digital marketing could be a significant growth driver for years to come. Revenue for this segment grew by 17% in the most recent quarter.\nAdobe has gross margins of 87.9%, among the best in the entire software industry (which is saying something because the space is already known for strong margins). Net dollar retention is a key metric for evaluating software companies, and Adobe\'s net dollar retention rate is an incredible 125%. This means that it does not lose many customers (thus retaining the recurring revenue it brings in each year) and on top of that, it is gaining 25% more revenue from these customers.\nWhile Adobe isn\'t cheap at 37 times earnings, the valuation does come down to 24 times forward earnings based on next year\'s estimates. Furthermore, a top software stock like Adobe almost always comes with a premium valuation, so the current sell-off probably offers as good a time as any to add this market leader to your portfolio for the long term.\n2. Bill.com\nShares of former highflier Bill.com Holdings (NYSE: BILL) are down over 60% from their 52-week high of $348.49. The aptly named company streamlines and automates back-end financial operations for small and medium-sized businesses (SMBs), such as -- you guessed it -- billing.\nBill.com seeks to help owners and proprietors of SMBs simplify the billing process. As anyone who has tried to book a job with a landscaper or contractor this year knows, these types of SMB owners are busier than ever thanks to a shortage of labor, so thus have a real need for automation and simplification.\nThe numbers show that Bill.com\'s value proposition is working. While the company is not yet profitable, it is growing revenue rapidly. The company generated $157 million in revenue in 2020, increased it to $238 million in 2021, and is guiding for $625 million in revenue in 2022. If it can hit that target, that would mean revenue growth of just under 400% in a two-year time frame. It is rare to find a company growing at that rate, and if Bill.com continues to execute, it could be worth a lot more than it is today.\n3. DigitalOcean\nDigitalOcean Holdings (NYSE: DOCN) had an incredible 2021, but like the rest of the software sector, shares have fallen hard in 2022 and are now down 66% from their 52-week high.\nLike Bill.com, DigitalOcean serves SMBs. For the most part, the major cloud providers like Amazon\'s AWS and Microsoft\'s Azure are focused on serving enterprise-level customers, leaving SMBs out in the cold. This is where DigitalOcean comes in.\nIt offers infrastructure and tools to independent developers and developers at companies that are too small for the big cloud providers to focus on. What I like is that DigitalOcean acquires the majority of these customers using a cheap and efficient "self serve" model: Customers come to the website to learn about a tool and then use it, negating the need for an expensive salesforce.\nWhile they start out as lower-spending customers, DigitalOcean says that 94% of its high-value customers started out through self-service. This indicates that these users are willing to spend more on DigitalOcean over time as they grow with the company. As such, like Adobe, the company has an impressive net dollar retention rate of well over 100% at 116%.\nWhile DigitalOcean is not yet profitable, it trades at a price-to-sales multiple of 9, which isn\'t bad for a fast-growing software stock.\nThe current market environment has created an opportunity to invest in some compelling software companies at prices that are much lower than they were just a few months ago. With impressive growth, recurring revenue, and strong margins, these stocks look like good bets to add value to your portfolio through 2022 and beyond.\n10 stocks we like better than Adobe Inc.\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and Adobe Inc. wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nJohn Mackey, CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool\'s board of directors. Michael Byrne has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Adobe Inc., Amazon, Bill.com Holdings, Inc., DigitalOcean Holdings, Inc., and Microsoft. The Motley Fool recommends the following options: long January 2024 $420 calls on Adobe Inc. and short January 2024 $430 calls on Adobe Inc. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Adobe (NASDAQ: ADBE) is one of the biggest and best-known software stocks, and for good reason. Furthermore, a top software stock like Adobe almost always comes with a premium valuation, so the current sell-off probably offers as good a time as any to add this market leader to your portfolio for the long term. As anyone who has tried to book a job with a landscaper or contractor this year knows, these types of SMB owners are busier than ever thanks to a shortage of labor, so thus have a real need for automation and simplification.', 'news_luhn_summary': "Adobe (NASDAQ: ADBE) is one of the biggest and best-known software stocks, and for good reason. Net dollar retention is a key metric for evaluating software companies, and Adobe's net dollar retention rate is an incredible 125%. The Motley Fool has positions in and recommends Adobe Inc., Amazon, Bill.com Holdings, Inc., DigitalOcean Holdings, Inc., and Microsoft.", 'news_article_title': '3 Best Software Stocks to Buy in 2022 and Beyond', 'news_lexrank_summary': 'Adobe (NASDAQ: ADBE) is one of the biggest and best-known software stocks, and for good reason. This is a highly profitable business that just grew revenue 15% year over year in the most recent quarter despite being around for a long time. 10 stocks we like better than Adobe Inc.', 'news_textrank_summary': "Adobe (NASDAQ: ADBE) is one of the biggest and best-known software stocks, and for good reason. While sentiment has shifted for now, many software companies are still great businesses to own for the long term because they feature strong margins and durable recurring revenue -- the types of companies you want to have in your portfolio a decade from now. Net dollar retention is a key metric for evaluating software companies, and Adobe's net dollar retention rate is an incredible 125%."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 380.4599914550781, 'high': 388.0499877929688, 'open': 386.5700073242188, 'close': 384.1600036621094, 'ema_50': 397.46157343198786, 'rsi_14': 63.60460538564633, 'target': 375.5400085449219, 'volume': 1832200.0, 'ema_200': 469.1144159601096, 'adj_close': 384.1600036621094, 'rsi_lag_1': 64.3463001297986, 'rsi_lag_2': 57.330254994214506, 'rsi_lag_3': 56.434148170988685, 'rsi_lag_4': 52.755635172021954, 'rsi_lag_5': 37.568634631587, 'macd_lag_1': -5.467761138000526, 'macd_lag_2': -6.83581731576561, 'macd_lag_3': -8.630162010053994, 'macd_lag_4': -9.974211295589214, 'macd_lag_5': -10.899100592242178, 'macd_12_26_9': -4.75480806786652, 'macds_12_26_9': -7.740989169314189}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 375.5400085449219, '2022-07-13': 371.9400024414063, '2022-07-14': 372.9599914550781, '2022-07-15': 379.8599853515625, '2022-07-18': 375.2300109863281, '2022-07-19': 387.8299865722656, '2022-07-20': 401.489990234375, '2022-07-21': 408.9100036621094, '2022-07-22': 401.8999938964844, '2022-07-25': 391.9599914550781}, '1_month_later': {'2022-08-11': 434.8900146484375}, '3_months_later': {'2022-10-11': 284.8299865722656}, '6_months_later': {'2023-01-11': 342.92999267578125}, '12_months_later': {'2023-07-11': 504.739990234375}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADC
|
{'date': '2022-07-11', 'ticker': 'ADC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.91999816894531, 'high': 73.88999938964844, 'open': 73.41999816894531, 'close': 73.69999694824219, 'ema_50': 70.43402632063757, 'rsi_14': 71.71980407089917, 'target': 73.2699966430664, 'volume': 1042400.0, 'ema_200': 68.72272867979962, 'adj_close': 68.99542236328125, 'rsi_lag_1': 71.1311784184464, 'rsi_lag_2': 69.31164137518553, 'rsi_lag_3': 75.91177346085651, 'rsi_lag_4': 68.59435964278514, 'rsi_lag_5': 61.438848762913025, 'macd_lag_1': 1.0537750674689903, 'macd_lag_2': 1.0524769431044945, 'macd_lag_3': 1.0976204618880843, 'macd_lag_4': 1.1016016122196817, 'macd_lag_5': 1.1324055389708434, 'macd_12_26_9': 1.070703389992488, 'macds_12_26_9': 0.9945133146125122}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 73.2699966430664, '2022-07-13': 72.05999755859375, '2022-07-14': 73.44000244140625, '2022-07-15': 74.77999877929688, '2022-07-18': 74.7300033569336, '2022-07-19': 76.26000213623047, '2022-07-20': 76.19999694824219, '2022-07-21': 75.62999725341797, '2022-07-22': 76.2300033569336, '2022-07-25': 77.18000030517578}, '1_month_later': {'2022-08-11': 78.51000213623047}, '3_months_later': {'2022-10-11': 65.23999786376953}, '6_months_later': {'2023-01-11': 73.66999816894531}, '12_months_later': {'2023-07-11': 65.4800033569336}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACER
|
{'date': '2022-07-11', 'ticker': 'ACER', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.4199999570846558, 'high': 1.5299999713897705, 'open': 1.5199999809265137, 'close': 1.4500000476837158, 'ema_50': 1.8242841166910653, 'rsi_14': 38.16793844504095, 'target': 1.399999976158142, 'volume': 78740.0, 'ema_200': 2.2494604065661274, 'adj_close': 1.4500000476837158, 'rsi_lag_1': 39.682538030609166, 'rsi_lag_2': 32.478629691943766, 'rsi_lag_3': 31.896549332155487, 'rsi_lag_4': 29.75206237031061, 'rsi_lag_5': 24.166659795573906, 'macd_lag_1': -0.18576496733507075, 'macd_lag_2': -0.20928061194165837, 'macd_lag_3': -0.22403286167122638, 'macd_lag_4': -0.23553071358580335, 'macd_lag_5': -0.2457620715301747, 'macd_12_26_9': -0.17080808982694107, 'macds_12_26_9': -0.20222579837445218}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 1.399999976158142, '2022-07-13': 1.4600000381469729, '2022-07-14': 1.440000057220459, '2022-07-15': 1.53410005569458, '2022-07-18': 1.600000023841858, '2022-07-19': 1.590000033378601, '2022-07-20': 1.600000023841858, '2022-07-21': 1.600000023841858, '2022-07-22': 1.4700000286102295, '2022-07-25': 1.4500000476837158}, '1_month_later': {'2022-08-11': 1.4799000024795532}, '3_months_later': {'2022-10-11': 1.25}, '6_months_later': {'2023-01-11': 2.8499999046325684}, '12_months_later': {'2023-07-11': 0.8888000249862671}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACCO
|
{'date': '2022-07-11', 'ticker': 'ACCO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.519999980926514, 'high': 6.599999904632568, 'open': 6.550000190734863, 'close': 6.559999942779541, 'ema_50': 7.023137321471586, 'rsi_14': 49.56520693512768, 'target': 6.590000152587891, 'volume': 458100.0, 'ema_200': 7.8032318479178135, 'adj_close': 6.032212257385254, 'rsi_lag_1': 53.968271388618724, 'rsi_lag_2': 42.20778155153574, 'rsi_lag_3': 41.059601812486754, 'rsi_lag_4': 45.58823838778511, 'rsi_lag_5': 36.04650937137607, 'macd_lag_1': -0.17389901411897313, 'macd_lag_2': -0.18136535504798257, 'macd_lag_3': -0.18520251276164412, 'macd_lag_4': -0.17518809643725852, 'macd_lag_5': -0.1761487626624616, 'macd_12_26_9': -0.16526986064545568, 'macds_12_26_9': -0.17333201437176055}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 6.590000152587891, '2022-07-13': 6.579999923706055, '2022-07-14': 6.489999771118164, '2022-07-15': 6.630000114440918, '2022-07-18': 6.739999771118164, '2022-07-19': 7.070000171661377, '2022-07-20': 7.159999847412109, '2022-07-21': 7.090000152587891, '2022-07-22': 7.0, '2022-07-25': 7.0}, '1_month_later': {'2022-08-11': 6.829999923706055}, '3_months_later': {'2022-10-11': 5.070000171661377}, '6_months_later': {'2023-01-11': 6.070000171661377}, '12_months_later': {'2023-07-11': 5.670000076293945}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AA
|
{'date': '2022-07-11', 'ticker': 'AA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/wall-street-eagerly-waits-for-q2-earnings-season-to-commence', 'news_author': None, 'news_article': 'We start out a new full week of trading rather quietly — no economic data prints released before the opening bell this morning, nor Q2 earnings reports, which begin registering at a slightly hotter clip than we’ve seen thus far. We’re coming off a relatively flat Friday, but pre-market futures are in the red: the Dow -170 points, the Nasdaq -100 and the S&P 500 — currently carrying a five-day winning streak — is -25 points.\nA few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. In subsequent years, we’ve come to see the big Wall Street banks’ reports as the start of earnings season. Those begin this week: JPMorgan Chase JPM comes out with Q2 tallies Thursday, Citigroup C and Wells Fargo WFC — among many other financial firms — on Friday.\nEven before these, however, we’ll hear from PepsiCo PEP on Tuesday and Delta Air Lines DAL Wednesday. So even before we get results from how the biggest financial institutions in the world fared in Q2, we’ll find out how the consumer dealt with making Consumer Discretionary choices amid skyrocketing gasoline prices, which then bled into costs for Transportation, thus leading to hire prices for delivered goods.\nMid-week, perhaps the biggest print of economic data all month — at least, before the Fed policy meeting at this end of July — arrives in the form of Consumer Price Index (CPI) numbers, which has become shorthand for inflation. It’s expected June ratcheted up inflation even more, especially year over year, to +8.8% from +8.6% previously reported. This is obviously continuing a four-decade high.\nThat said, “core” inflation — which strips out food and energy costs — is expected to come down a tad, to +5.7% from +6.0% last reported. This is still obviously much higher than the Fed’s desired +2% inflation, but at least it’s headed in the right direction. And if this data shows demand destruction having an effect on things like housing prices, we may even see a downward surprise on these inflation metrics.\nClearly, this is what’s behind the Fed hiking interest rates 150 basis points (bps) since March, with another 50-75 bps expected in the last week of July. That the market is trading down at this hour tells us there is plenty of concern about CPI and Q2 earnings results — particularly how companies guide through the remainder of 2022 and into ’23. But could a few better-than-expected prints change this trajectory?\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nWells Fargo & Company (WFC): Free Stock Analysis Report\n \nJPMorgan Chase & Co. (JPM): Free Stock Analysis Report\n \nCitigroup Inc. (C): Free Stock Analysis Report\n \nDelta Air Lines, Inc. (DAL): Free Stock Analysis Report\n \nAlcoa (AA): Free Stock Analysis Report\n \nPepsiCo, Inc. (PEP): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report We start out a new full week of trading rather quietly — no economic data prints released before the opening bell this morning, nor Q2 earnings reports, which begin registering at a slightly hotter clip than we’ve seen thus far.', 'news_luhn_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report Wells Fargo & Company (WFC): Free Stock Analysis Report', 'news_article_title': 'Wall Street Eagerly Waits for Q2 Earnings Season to Commence', 'news_lexrank_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report Mid-week, perhaps the biggest print of economic data all month — at least, before the Fed policy meeting at this end of July — arrives in the form of Consumer Price Index (CPI) numbers, which has become shorthand for inflation.', 'news_textrank_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report Wells Fargo & Company (WFC): Free Stock Analysis Report'}, {'news_url': 'https://www.nasdaq.com/articles/quiet-morning-ahead-of-q2-earnings-cpi-this-week', 'news_author': None, 'news_article': 'Monday, July 11, 2022\n\nWe start out a new full week of trading rather quietly — no economic data prints released before the opening bell this morning, nor Q2 earnings reports, which begin registering at a slightly hotter clip than we’ve seen thus far. We’re coming off a relatively flat Friday, but pre-market futures are in the red: the Dow -170 points, the Nasdaq -100 and the S&P 500 — currently carrying a five-day winning streak — is -25 points.\n\nA few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. In subsequent years, we’ve come to see the big Wall Street banks’ reports as the start of earnings season. Those begin this week: JPMorgan Chase JPM comes out with Q2 tallies Thursday, Citigroup C and Wells Fargo WFC — among many other financial firms — on Friday.\n\nEven before these, however, we’ll hear from PepsiCo PEP on Tuesday and Delta Air Lines DAL Wednesday. So even before we get results from how the biggest financial institutions in the world fared in Q2, we’ll find out how the consumer dealt with making Consumer Discretionary choices amid skyrocketing gasoline prices, which then bled into costs for Transportation, thus leading to hire prices for delivered goods.\n\nMid-week, perhaps the biggest print of economic data all month — at least, before the Fed policy meeting at this end of July — arrives in the form of Consumer Price Index (CPI) numbers, which has become shorthand for inflation. It’s expected June ratcheted up inflation even more, especially year over year, to +8.8% from +8.6% previously reported. This is obviously continuing a four-decade high.\n\nThat said, “core” inflation — which strips out food and energy costs — is expected to come down a tad, to +5.7% from +6.0% last reported. This is still obviously much higher than the Fed’s desired +2% inflation, but at least it’s headed in the right direction. And if this data shows demand destruction having an effect on things like housing prices, we may even see a downward surprise on these inflation metrics.\n\nClearly, this is what’s behind the Fed hiking interest rates 150 basis points (bps) since March, with another 50-75 bps expected in the last week of July. That the market is trading down at this hour tells us there is plenty of concern about CPI and Q2 earnings results — particularly how companies guide through the remainder of 2022 and into ’23. But could a few better-than-expected prints change this trajectory?\n\nQuestions or comments about this article and/or its author? Click here>>\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nWells Fargo & Company (WFC): Free Stock Analysis Report\n \nJPMorgan Chase & Co. (JPM): Free Stock Analysis Report\n \nCitigroup Inc. (C): Free Stock Analysis Report\n \nDelta Air Lines, Inc. (DAL): Free Stock Analysis Report\n \nAlcoa (AA): Free Stock Analysis Report\n \nPepsiCo, Inc. (PEP): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\n \nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report We start out a new full week of trading rather quietly — no economic data prints released before the opening bell this morning, nor Q2 earnings reports, which begin registering at a slightly hotter clip than we’ve seen thus far.', 'news_luhn_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report Wells Fargo & Company (WFC): Free Stock Analysis Report', 'news_article_title': 'Quiet Morning Ahead of Q2 Earnings, CPI This Week', 'news_lexrank_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report Mid-week, perhaps the biggest print of economic data all month — at least, before the Fed policy meeting at this end of July — arrives in the form of Consumer Price Index (CPI) numbers, which has become shorthand for inflation.', 'news_textrank_summary': 'A few years back, when Alcoa AA was still part of the Dow 30 index, earnings season “officially” began upon the aluminum giant’s earnings report. Alcoa (AA): Free Stock Analysis Report Wells Fargo & Company (WFC): Free Stock Analysis Report'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.59000015258789, 'high': 44.380001068115234, 'open': 43.81999969482422, 'close': 42.72999954223633, 'ema_50': 55.972890512710514, 'rsi_14': 34.51537772964868, 'target': 42.25, 'volume': 4848000.0, 'ema_200': 58.893912740451135, 'adj_close': 42.03479766845703, 'rsi_lag_1': 37.53214542362136, 'rsi_lag_2': 36.39083849502491, 'rsi_lag_3': 33.64536593987778, 'rsi_lag_4': 30.239689626677404, 'rsi_lag_5': 29.517189574738467, 'macd_lag_1': -4.176551933044017, 'macd_lag_2': -4.335641933836335, 'macd_lag_3': -4.559125621101188, 'macd_lag_4': -4.470566562658192, 'macd_lag_5': -4.237524666662232, 'macd_12_26_9': -4.171834286710265, 'macds_12_26_9': -4.235815630318561}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 42.25, '2022-07-13': 43.18999862670898, '2022-07-14': 40.810001373291016, '2022-07-15': 43.060001373291016, '2022-07-18': 43.41999816894531, '2022-07-19': 44.900001525878906, '2022-07-20': 45.060001373291016, '2022-07-21': 45.150001525878906, '2022-07-22': 45.79999923706055, '2022-07-25': 46.79999923706055}, '1_month_later': {'2022-08-11': 53.27000045776367}, '3_months_later': {'2022-10-11': 37.84999847412109}, '6_months_later': {'2023-01-11': 51.95000076293945}, '12_months_later': {'2023-07-11': 34.689998626708984}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AAAU
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{'date': '2022-07-11', 'ticker': 'AAAU', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.190000534057617, 'high': 17.309999465942383, 'open': 17.25, 'close': 17.190000534057617, 'ema_50': 18.19273105493365, 'rsi_14': 7.258078161315581, 'target': 17.139999389648438, 'volume': 1072900.0, 'ema_200': 18.34425431495012, 'adj_close': 17.190000534057617, 'rsi_lag_1': 6.976761378674013, 'rsi_lag_2': 19.999974568652846, 'rsi_lag_3': 29.824590756381426, 'rsi_lag_4': 32.27845809149491, 'rsi_lag_5': 30.17751879979295, 'macd_lag_1': -0.26181289653850115, 'macd_lag_2': -0.2379574426593436, 'macd_lag_3': -0.2040480096330839, 'macd_lag_4': -0.1557628610944235, 'macd_lag_5': -0.1203767783266585, 'macd_12_26_9': -0.2854966826119103, 'macds_12_26_9': -0.19658278774799517}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 17.139999389648438, '2022-07-13': 17.219999313354492, '2022-07-14': 16.969999313354492, '2022-07-15': 16.940000534057617, '2022-07-18': 16.950000762939453, '2022-07-19': 17.0, '2022-07-20': 16.850000381469727, '2022-07-21': 17.079999923706055, '2022-07-22': 17.1200008392334, '2022-07-25': 17.06999969482422}, '1_month_later': {'2022-08-11': 17.729999542236328}, '3_months_later': {'2022-10-11': 16.540000915527344}, '6_months_later': {'2023-01-11': 18.6200008392334}, '12_months_later': {'2023-07-11': 19.15999984741211}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AACG
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{'date': '2022-07-11', 'ticker': 'AACG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.3200000524520874, 'high': 1.3600000143051147, 'open': 1.3600000143051147, 'close': 1.340000033378601, 'ema_50': 1.1161649240279452, 'rsi_14': 81.99999761581478, 'target': 1.3799999952316284, 'volume': 20600.0, 'ema_200': 1.5331461876108052, 'adj_close': 1.340000033378601, 'rsi_lag_1': 79.54544961945149, 'rsi_lag_2': 71.87499417923486, 'rsi_lag_3': 60.00000794728412, 'rsi_lag_4': 53.846150319251706, 'rsi_lag_5': 43.74998835846973, 'macd_lag_1': 0.024072413401238002, 'macd_lag_2': 0.009553665268050349, 'macd_lag_3': 0.0031016830051171507, 'macd_lag_4': -8.760369107974064e-05, 'macd_lag_5': -8.428349419231651e-05, 'macd_12_26_9': 0.040757221240782515, 'macds_12_26_9': 0.01165001714135739}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 1.3799999952316284, '2022-07-13': 1.3799999952316284, '2022-07-14': 1.340000033378601, '2022-07-15': 1.2799999713897705, '2022-07-18': 1.2699999809265137, '2022-07-19': 1.2899999618530271, '2022-07-20': 1.399999976158142, '2022-07-21': 1.6200000047683716, '2022-07-22': 1.5700000524520874, '2022-07-25': 1.5399999618530271}, '1_month_later': {'2022-08-11': 1.909999966621399}, '3_months_later': {'2022-10-11': 1.899999976158142}, '6_months_later': {'2023-01-11': 1.3799999952316284}, '12_months_later': {'2023-07-11': 1.399999976158142}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AADR
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{'date': '2022-07-11', 'ticker': 'AADR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.619998931884766, 'high': 47.75, 'open': 47.63999938964844, 'close': 47.7400016784668, 'ema_50': 52.163212074880306, 'rsi_14': 40.08139319190619, 'target': 47.18999862670898, 'volume': 4400.0, 'ema_200': 57.85463783649097, 'adj_close': 46.36205673217773, 'rsi_lag_1': 42.247664141263776, 'rsi_lag_2': 35.834065634374696, 'rsi_lag_3': 33.057077883804084, 'rsi_lag_4': 33.73381793874408, 'rsi_lag_5': 33.00179490858518, 'macd_lag_1': -1.6575912553036858, 'macd_lag_2': -1.7251828144395986, 'macd_lag_3': -1.7934878960905962, 'macd_lag_4': -1.7374918573652423, 'macd_lag_5': -1.6509296037410053, 'macd_12_26_9': -1.6128674960127256, 'macds_12_26_9': -1.6330771659136676}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 47.18999862670898, '2022-07-13': 47.4900016784668, '2022-07-14': 46.18000030517578, '2022-07-15': 47.04999923706055, '2022-07-18': 47.75, '2022-07-19': 48.36000061035156, '2022-07-20': 48.84000015258789, '2022-07-21': 48.869998931884766, '2022-07-22': 48.38999938964844, '2022-07-25': 49.209999084472656}, '1_month_later': {'2022-08-11': 52.45000076293945}, '3_months_later': {'2022-10-11': 44.16999816894531}, '6_months_later': {'2023-01-11': 48.68000030517578}, '12_months_later': {'2023-07-11': 49.119998931884766}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AAL
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{'date': '2022-07-11', 'ticker': 'AAL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/7-blue-chip-stocks-to-buy-after-last-months-massive-beating', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nOverall, blue-chip stocks are ones that are considered to be the most valuable and reliable across the stock market. In turn, investing in blue-chip stocks is a popular way to make money.\nThere are many reasons for this, one of them being that they have been around for a long time and have been performing well. They also tend to be more stable than other stocks because they’re much less volatile than other companies.\nHowever, the most important aspect of these stocks is that they can withstand any financial storm and continue to provide steady returns for investors.\nFurthermore, blue-chip stocks are traditionally considered to have a high market capitalization, strong financial performance and stable growth rates.\nSo, with all of this in mind, I have selected seven blue-chip stocks that did not perform well in June. But, while having an off month in rough market conditions can be scary, these companies have a great record and tend to bounce back very quickly.\n7 Best Biotech Stocks to Buy in July 2022\nNow, let’s dive in and take a closer look at each one.\nTicker Company Price\nHD Home Depot $288.57\nACN Accenture $275.87\nMCD McDonald’s $254.03\nDIS Disney $93.95\nAAL American Airlines $13.40\nSHEL Shell $48.36\nMNDY Monday.com $110.76\nBlue-Chip Stocks to Buy: Home Depot (HD)\nSource: Jonathan Weiss / Shutterstock.com\nHome Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. The company was founded in 1978 and is one of the largest retail stores in the United States.\nHome Depot has more than 2,300 stores in all of North America and employs more than 500,000 associates. Additionally, the company generated more than $150 billion in revenue worldwide last year, good for a 14% boost year-over-year (YOY). This growth comes as the home improvement business has been growing and will continue to grow with the recent rise in work-from-home jobs.\nOf course, the recent pessimism surrounding mortgage rates has dampened the stock price, though. Undoubtedly, Home Depot is facing tough YOY comps, and rising interest rates do not help. But the company has shown the fundamentals to withstand tough economic conditions.\nIt has reported the latest quarterly results and a 3.8% increase in revenues. Net earnings saw a 2.07% rise, too. These are not numbers to write home about. While the company might have a tough year in revenues, investors should expect these numbers because things are returning to normal. People aren’t spending as much time outside their homes; It will be a couple of quarters before things are in balance.\nMeanwhile, it has been paying dividends for more than 30 years and hasn’t reduced its dividend rate in those three decades. In turn, that will keep investors happy while they wait for revenues to return.\nAccenture (ACN)\nSource: Tada Images/ShutterStock.com\nAccenture is one of the most highly-respected global management consulting, technology services and outsourcing companies with a long history. Ir provides various value-added solutions for businesses to improve efficiency and innovation.\nIt is one of the largest consulting firms in the world and has 710,000 employees. The company offers a wide range of services to help organizations improve performance and create a competitive advantage.\nAccenture has been providing digital transformation services for various companies across the globe. It has been using its AI-powered platform to help companies with their content marketing strategies.\nFurthermore, Accenture is a company with a lot of good qualities to it, such as quickly adjusting to changing trends in the market and showing high consistency in achieving good results. It also has an excellent balance sheet, a testament to the management’s fiscal discipline.\nRevenue in the latest quarter was $16.2 billion, way beyond what analysts had expected. With that, Accenture forecasts revenue from $15 billion to $15.5 billion for the current quarter.\n7 Best Cheap Stocks Under $10 to Buy in July\nOverall, Accenture offers many great services that are crucial to today’s world. And even though the company is doing well now, it will only continue to grow its services — making it a great pick for the future.\nBlue-Chip Stocks to Buy: McDonald’s (MCD)\nSource: 8th.creator / Shutterstock.com\nMcDonald’s (NYSE:MCD) is an American fast-food restaurant chain with a worldwide presence.\nThe company’s history started in 1940 when the first McDonald’s opened in San Bernardino, California. The company’s founder, Ray Kroc, was a salesman from Illinois who had become successful in the restaurant business. He made his way to California and discovered that there were no restaurants that served high-quality burgers and fries at a low price. Kroc soon found out that he could use his experience to open his restaurant that would have some of the features he admired about the drive-in restaurants he had seen on one of his trips to southern California.\nMcDonald’s has been one of the most successful companies in recent history, and it is one of America’s favorite brands. The success of McDonald’s is largely due to its ability to adapt to changes in society and culture. The company has created new products while keeping its core products on offer, like the Big Mac and fries.\nMcDonald’s has been successful in the past 50 years because it has managed to keep up with the changing times. Recent investments in technology, such as mobile ordering and delivery, allow the company to focus on bettering its digital offerings.\nThe increasing popularity of digital orders during the pandemic cannot be ignored by McDonald’s, and it needs to find ways to keep up. Digital sales increased 60% in 2021, which is essential for its future success. Other than that, the brand speaks for itself.\nDisney (DIS)\nSource: ilikeyellow / Shutterstock.com\nDisney (NYSE:DIS) is a world-renowned company that has been around for decades. It is known for its movies, theme parks, and more.\nWalt Disney has become one of the world’s most powerful media and entertainment companies. Just some of its great achievements include ABC and ESPN. It owns many other important holdings like Disney World, Disney+, Hulu, etc.\nDisney is one of the most diversified companies in the world. It has a portfolio that includes theme parks, television networks, merchandise licensing, video games, and movie studios.\nAt any particular time, Disney will have one division doing particularly well. During Covid-19, streaming picked up because of people sheltering in. The Walt Disney Company reported that its entertainment and tech platform, Disney+, had 137.7 million subscribers worldwide as of Q2. There are reasons to be cheerful-Disney Plus announced that it gained 7.9 million new subscribers during Q2. At a time when Netflix (NASDAQ:NFLX) is losing subscribers, this is music to investors’ ears.\n7 Best Financial Stocks to Buy in July 2022\nAt the same time, you cannot ignore Disney theme parks, resort hotels, and cruise ships. That business segment will return this year, providing additional cushion to its bottom line.\nBlue-Chip Stocks to Buy: American Airlines (AAL)\nSource: GagliardiPhotography / Shutterstock.com\nAmerican Airlines (NASDAQ:AAL) is an American airline company founded in 1930. The company’s headquarters are located in Fort Worth, Texas.\nAmerican Airlines is the world’s largest airline, with a fleet of more than 900 aircraft and counting! Revenue-wise, they are unmatched as well.\nAmerican Airlines struggled during the pandemic like the rest of the airline sector. However, things have begun to return to normal, and you can see that in the TSA checkpoint travel numbers. AAL benefits from the trend, and March was the first month since Covid swept through that its revenue surpassed 2019 levels. The airline is flying almost all the flights on its 2019 Q2 schedule. It is doing better than Delta and United Airlines.\nHowever, AAL, one of the largest airlines in the world, has had a tough quarter. Despite doubling revenue from the same time last year, it posted a net loss. American Airlines said it paid $2.80 a gallon for fuel in Q1, a big jump of 65% year on year. So it’s not like AAL is completely out of the rut. However, it is in a much better position than it was just a couple of years back.\nShell (SHEL)\nSource: JuliusKielaitis / Shutterstock.com\nShell (NYSE:SHEL) has been a multinational oil and gas company in the industry for over 100 years.\nIn addition to exploring for and producing crude oil and natural gas, Shell manufactures products such as liquefied natural gas (LNG), gasoline, diesel fuel, jet fuel, petrochemicals, hydrogen, and electricity.\nInterestingly, as Shell moves away from fossil fuels, it is now investing in renewables and carbon capture. This requires massive capital investments. Therefore, Shell’s valuation will come under pressure for the foreseeable future. But in the long run, it will help the supermajor energy company because the general trend is toward a carbon-neutral future.\nMore than 100 countries have signed the newly formed Global Alliance for Zero Emissions by 2050. It’s the largest coalition in this area to date and an important step in working towards achieving net-zero emissions by 2050.\n7 Best Renewable Energy Stocks to Buy in July 2022 \nCompanies that align with these goals will be better positioned for the future. Shell is a good example of this.\nBlue-Chip Stocks to Buy: Monday.com (MNDY)\nSource: shutterstock.com/monticello\nMonday.com (NASDAQ:MNDY) is a project management software for teams of all sizes. It is designed to help teams work together more efficiently and get more done in less time. The platform helps with collaboration and communication, making it easy for teams to plan, manage, and track progress on any project or initiative.\nWith Monday.com you can create custom templates that allow you to focus on the things that matter most to your team while letting Monday take care of the rest. Users can collaborate with their team members in real-time across different devices and work seamlessly with clients, vendors, and partners through secure access without any IT headaches.\nMonday.com is a project management software that helps teams collaborate and manage projects. It provides tasks and time management software, Gantt charts, Kanban boards, calendar integration, etc.\nOn May 16, the project management company announced a healthy 84% increase in revenue. Revenue of top-tier customers increased 2 fold, while Net Dollar Retention (NDR) grew 150% year over year among customers with more than $50K ARR.\nFor the fiscal year 2022, Monday.com has projected total revenue between $488 million and $492 million. This represents year-over-year growth of 58% to 60%.\nMonday.com is one of the fastest-growing B2B brands as it has barely scratched its potential as a revenue-generating brand. It sees an addressable market size of $87.6 billion by 2024 making it a great pick for the future.\nOn the publication date, Faizan Farooque did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.\nThe post 7 Blue-Chip Stocks to Buy After Last Month’s Massive Beating appeared first on InvestorPlace.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. Blue-Chip Stocks to Buy: American Airlines (AAL) Source: GagliardiPhotography / Shutterstock.com American Airlines (NASDAQ:AAL) is an American airline company founded in 1930. AAL benefits from the trend, and March was the first month since Covid swept through that its revenue surpassed 2019 levels.', 'news_luhn_summary': 'Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. Blue-Chip Stocks to Buy: American Airlines (AAL) Source: GagliardiPhotography / Shutterstock.com American Airlines (NASDAQ:AAL) is an American airline company founded in 1930. AAL benefits from the trend, and March was the first month since Covid swept through that its revenue surpassed 2019 levels.', 'news_article_title': '7 Blue-Chip Stocks to Buy After Last Month’s Massive Beating', 'news_lexrank_summary': 'However, AAL, one of the largest airlines in the world, has had a tough quarter. Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. Blue-Chip Stocks to Buy: American Airlines (AAL) Source: GagliardiPhotography / Shutterstock.com American Airlines (NASDAQ:AAL) is an American airline company founded in 1930.', 'news_textrank_summary': 'Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. Blue-Chip Stocks to Buy: American Airlines (AAL) Source: GagliardiPhotography / Shutterstock.com American Airlines (NASDAQ:AAL) is an American airline company founded in 1930. AAL benefits from the trend, and March was the first month since Covid swept through that its revenue surpassed 2019 levels.'}, {'news_url': 'https://www.nasdaq.com/articles/we-did-the-math-xli-can-go-to-%24111', 'news_author': None, 'news_article': "Looking at the underlying holdings of the ETFs in our coverage universe at ETF Channel, we have compared the trading price of each holding against the average analyst 12-month forward target price, and computed the weighted average implied analyst target price for the ETF itself. For the The Industrial Select Sector SPDR Fund ETF (Symbol: XLI), we found that the implied analyst target price for the ETF based upon its underlying holdings is $111.00 per unit.\nWith XLI trading at a recent price near $87.91 per unit, that means that analysts see 26.27% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of XLI's underlying holdings with notable upside to their analyst target prices are Southwest Airlines Co (Symbol: LUV), United Rentals Inc (Symbol: URI), and American Airlines Group Inc (Symbol: AAL). Although LUV has traded at a recent price of $36.70/share, the average analyst target is 53.84% higher at $56.46/share. Similarly, URI has 48.60% upside from the recent share price of $248.86 if the average analyst target price of $369.80/share is reached, and analysts on average are expecting AAL to reach a target price of $19.30/share, which is 38.15% above the recent price of $13.97. Below is a twelve month price history chart comparing the stock performance of LUV, URI, and AAL:\nBelow is a summary table of the current analyst target prices discussed above:\nNAME SYMBOL RECENT PRICE AVG. ANALYST 12-MO. TARGET % UPSIDE TO TARGET\nThe Industrial Select Sector SPDR Fund ETF XLI $87.91 $111.00 26.27%\nSouthwest Airlines Co LUV $36.70 $56.46 53.84%\nUnited Rentals Inc URI $248.86 $369.80 48.60%\nAmerican Airlines Group Inc AAL $13.97 $19.30 38.15%\nAre analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Do the analysts have a valid justification for their targets, or are they behind the curve on recent company and industry developments? A high price target relative to a stock's trading price can reflect optimism about the future, but can also be a precursor to target price downgrades if the targets were a relic of the past. These are questions that require further investor research.\n10 ETFs With Most Upside To Analyst Targets »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "The Industrial Select Sector SPDR Fund ETF XLI $87.91 $111.00 26.27% Southwest Airlines Co LUV $36.70 $56.46 53.84% United Rentals Inc URI $248.86 $369.80 48.60% American Airlines Group Inc AAL $13.97 $19.30 38.15% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of XLI's underlying holdings with notable upside to their analyst target prices are Southwest Airlines Co (Symbol: LUV), United Rentals Inc (Symbol: URI), and American Airlines Group Inc (Symbol: AAL). Similarly, URI has 48.60% upside from the recent share price of $248.86 if the average analyst target price of $369.80/share is reached, and analysts on average are expecting AAL to reach a target price of $19.30/share, which is 38.15% above the recent price of $13.97.", 'news_luhn_summary': "Three of XLI's underlying holdings with notable upside to their analyst target prices are Southwest Airlines Co (Symbol: LUV), United Rentals Inc (Symbol: URI), and American Airlines Group Inc (Symbol: AAL). The Industrial Select Sector SPDR Fund ETF XLI $87.91 $111.00 26.27% Southwest Airlines Co LUV $36.70 $56.46 53.84% United Rentals Inc URI $248.86 $369.80 48.60% American Airlines Group Inc AAL $13.97 $19.30 38.15% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Similarly, URI has 48.60% upside from the recent share price of $248.86 if the average analyst target price of $369.80/share is reached, and analysts on average are expecting AAL to reach a target price of $19.30/share, which is 38.15% above the recent price of $13.97.", 'news_article_title': 'We Did The Math XLI Can Go To $111', 'news_lexrank_summary': "The Industrial Select Sector SPDR Fund ETF XLI $87.91 $111.00 26.27% Southwest Airlines Co LUV $36.70 $56.46 53.84% United Rentals Inc URI $248.86 $369.80 48.60% American Airlines Group Inc AAL $13.97 $19.30 38.15% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of XLI's underlying holdings with notable upside to their analyst target prices are Southwest Airlines Co (Symbol: LUV), United Rentals Inc (Symbol: URI), and American Airlines Group Inc (Symbol: AAL). Similarly, URI has 48.60% upside from the recent share price of $248.86 if the average analyst target price of $369.80/share is reached, and analysts on average are expecting AAL to reach a target price of $19.30/share, which is 38.15% above the recent price of $13.97.", 'news_textrank_summary': "Similarly, URI has 48.60% upside from the recent share price of $248.86 if the average analyst target price of $369.80/share is reached, and analysts on average are expecting AAL to reach a target price of $19.30/share, which is 38.15% above the recent price of $13.97. Three of XLI's underlying holdings with notable upside to their analyst target prices are Southwest Airlines Co (Symbol: LUV), United Rentals Inc (Symbol: URI), and American Airlines Group Inc (Symbol: AAL). Below is a twelve month price history chart comparing the stock performance of LUV, URI, and AAL: Below is a summary table of the current analyst target prices discussed above:"}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.3100004196167, 'high': 13.970000267028809, 'open': 13.81999969482422, 'close': 13.43000030517578, 'ema_50': 15.109309657397972, 'rsi_14': 55.432379116525624, 'target': 14.770000457763672, 'volume': 25163100.0, 'ema_200': 17.181057894547163, 'adj_close': 13.43000030517578, 'rsi_lag_1': 69.05263217070082, 'rsi_lag_2': 56.84575189433226, 'rsi_lag_3': 57.93919103958842, 'rsi_lag_4': 54.458600902436835, 'rsi_lag_5': 38.58381885264745, 'macd_lag_1': -0.5642168290900482, 'macd_lag_2': -0.6370286346117897, 'macd_lag_3': -0.7339334797173525, 'macd_lag_4': -0.8255620820630547, 'macd_lag_5': -0.9294871172863175, 'macd_12_26_9': -0.5438176413323443, 'macds_12_26_9': -0.7445481637220615}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 14.770000457763672, '2022-07-13': 14.3100004196167, '2022-07-14': 14.25, '2022-07-15': 14.470000267028809, '2022-07-18': 14.539999961853027, '2022-07-19': 15.15999984741211, '2022-07-20': 15.210000038146973, '2022-07-21': 14.079999923706056, '2022-07-22': 13.68000030517578, '2022-07-25': 13.75}, '1_month_later': {'2022-08-11': 14.989999771118164}, '3_months_later': {'2022-10-11': 12.260000228881836}, '6_months_later': {'2023-01-11': 15.34000015258789}, '12_months_later': {'2023-07-11': 18.799999237060547}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AAMC
|
{'date': '2022-07-11', 'ticker': 'AAMC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.2058820724487305, 'high': 6.388235092163086, 'open': 6.2941179275512695, 'close': 6.2058820724487305, 'ema_50': 6.835131507262059, 'rsi_14': 50.52652120400484, 'target': 6.29235315322876, 'volume': 1360.0, 'ema_200': 11.25183687917674, 'adj_close': 6.2058820724487305, 'rsi_lag_1': 54.809554249291715, 'rsi_lag_2': 44.81364286942965, 'rsi_lag_3': 49.814067615147174, 'rsi_lag_4': 37.38025648726279, 'rsi_lag_5': 29.244745232623075, 'macd_lag_1': -0.13602852600248205, 'macd_lag_2': -0.1456247606046457, 'macd_lag_3': -0.1377868870360608, 'macd_lag_4': -0.15213171334309195, 'macd_lag_5': -0.12929763323025512, 'macd_12_26_9': -0.12461376214530961, 'macds_12_26_9': -0.11183491892717949}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 6.29235315322876, '2022-07-13': 6.2058820724487305, '2022-07-14': 6.258823871612549, '2022-07-15': 6.258823871612549, '2022-07-18': 6.435294151306152, '2022-07-19': 6.470588207244873, '2022-07-20': 6.59117603302002, '2022-07-21': 6.764706134796143, '2022-07-22': 8.65294075012207, '2022-07-25': 9.117647171020508}, '1_month_later': {'2022-08-11': 11.452940940856934}, '3_months_later': {'2022-10-11': 8.176470756530762}, '6_months_later': {'2023-01-11': 14.470587730407717}, '12_months_later': {'2023-07-11': 32.17647171020508}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AAN
|
{'date': '2022-07-11', 'ticker': 'AAN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.130999565124512, 'high': 15.43000030517578, 'open': 15.199999809265137, 'close': 15.18000030517578, 'ema_50': 17.47787895277214, 'rsi_14': 45.55160057804214, 'target': 14.880000114440918, 'volume': 167700.0, 'ema_200': 21.696282643516877, 'adj_close': 14.243257522583008, 'rsi_lag_1': 47.472926580332185, 'rsi_lag_2': 38.7722191460194, 'rsi_lag_3': 32.534255523309184, 'rsi_lag_4': 34.1113168939533, 'rsi_lag_5': 22.183718979142128, 'macd_lag_1': -0.9256177405430357, 'macd_lag_2': -0.9938494799454016, 'macd_lag_3': -1.0430638633193343, 'macd_lag_4': -1.0397983837228733, 'macd_lag_5': -1.0989060536910635, 'macd_12_26_9': -0.8735772562724513, 'macds_12_26_9': -0.9737576673543143}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 14.880000114440918, '2022-07-13': 14.829999923706056, '2022-07-14': 14.100000381469728, '2022-07-15': 14.670000076293944, '2022-07-18': 15.380000114440918, '2022-07-19': 15.880000114440918, '2022-07-20': 16.56999969482422, '2022-07-21': 16.270000457763672, '2022-07-22': 16.010000228881836, '2022-07-25': 15.5}, '1_month_later': {'2022-08-11': 14.550000190734863}, '3_months_later': {'2022-10-11': 8.90999984741211}, '6_months_later': {'2023-01-11': 14.15999984741211}, '12_months_later': {'2023-07-11': 14.31999969482422}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AAOI
|
{'date': '2022-07-11', 'ticker': 'AAOI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.5, 'high': 1.659999966621399, 'open': 1.6100000143051147, 'close': 1.5, 'ema_50': 2.1507206707996525, 'rsi_14': 28.04878101967259, 'target': 1.5199999809265137, 'volume': 131500.0, 'ema_200': 4.009966035579614, 'adj_close': 1.5, 'rsi_lag_1': 36.11110835163694, 'rsi_lag_2': 29.069766958318198, 'rsi_lag_3': 24.69135093863342, 'rsi_lag_4': 23.529405989860777, 'rsi_lag_5': 21.50537262267153, 'macd_lag_1': -0.18785763167606206, 'macd_lag_2': -0.19651710951548207, 'macd_lag_3': -0.20369314060858512, 'macd_lag_4': -0.20072591666910888, 'macd_lag_5': -0.19401901023480828, 'macd_12_26_9': -0.1893026827699107, 'macds_12_26_9': -0.18532211442996865}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 1.5199999809265137, '2022-07-13': 1.6100000143051147, '2022-07-14': 1.559999942779541, '2022-07-15': 1.6299999952316284, '2022-07-18': 1.659999966621399, '2022-07-19': 1.7599999904632568, '2022-07-20': 1.8600000143051147, '2022-07-21': 1.820000052452088, '2022-07-22': 1.6799999475479126, '2022-07-25': 1.649999976158142}, '1_month_later': {'2022-08-11': 2.200000047683716}, '3_months_later': {'2022-10-11': 2.630000114440918}, '6_months_later': {'2023-01-11': 2.150000095367432}, '12_months_later': {'2023-07-11': 9.75}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AAON
|
{'date': '2022-07-11', 'ticker': 'AAON', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.77333450317383, 'high': 36.85333251953125, 'open': 36.33333206176758, 'close': 36.27999877929688, 'ema_50': 35.77290939088182, 'rsi_14': 63.02711897854539, 'target': 36.74666595458984, 'volume': 262050.0, 'ema_200': 39.63802875298919, 'adj_close': 35.88624572753906, 'rsi_lag_1': 62.88505603824444, 'rsi_lag_2': 63.55354460743571, 'rsi_lag_3': 64.87508744420361, 'rsi_lag_4': 69.42880817566635, 'rsi_lag_5': 66.43415984503093, 'macd_lag_1': 0.4952711929428162, 'macd_lag_2': 0.5166974509288167, 'macd_lag_3': 0.46457781036189516, 'macd_lag_4': 0.3804364936809037, 'macd_lag_5': 0.21048963338308369, 'macd_12_26_9': 0.4568856457057109, 'macds_12_26_9': 0.31805721132932707}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 36.74666595458984, '2022-07-13': 35.8466682434082, '2022-07-14': 35.366668701171875, '2022-07-15': 35.98666763305664, '2022-07-18': 34.81999969482422, '2022-07-19': 36.206668853759766, '2022-07-20': 37.040000915527344, '2022-07-21': 38.41999816894531, '2022-07-22': 37.86666870117188, '2022-07-25': 37.62666702270508}, '1_month_later': {'2022-08-11': 40.70000076293945}, '3_months_later': {'2022-10-11': 36.62666702270508}, '6_months_later': {'2023-01-11': 50.64666748046875}, '12_months_later': {'2023-07-11': 63.413333892822266}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AAP
|
{'date': '2022-07-11', 'ticker': 'AAP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 180.6199951171875, 'high': 183.6199951171875, 'open': 182.8999938964844, 'close': 181.75, 'ema_50': 188.1521897915985, 'rsi_14': 67.17594451789316, 'target': 183.83999633789065, 'volume': 605600.0, 'ema_200': 203.66553676159097, 'adj_close': 174.58169555664062, 'rsi_lag_1': 70.87818498286268, 'rsi_lag_2': 62.3054376357291, 'rsi_lag_3': 61.15327060018999, 'rsi_lag_4': 60.928716106881296, 'rsi_lag_5': 43.548036608842885, 'macd_lag_1': -2.034728696771907, 'macd_lag_2': -2.515694821589875, 'macd_lag_3': -3.203973567887232, 'macd_lag_4': -3.8098277915204903, 'macd_lag_5': -4.582683549123772, 'macd_12_26_9': -1.7264529987363915, 'macds_12_26_9': -3.4320912445177263}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 183.83999633789065, '2022-07-13': 185.33999633789065, '2022-07-14': 186.009994506836, '2022-07-15': 188.7100067138672, '2022-07-18': 185.2700042724609, '2022-07-19': 190.6499938964844, '2022-07-20': 192.6600036621093, '2022-07-21': 189.8300018310547, '2022-07-22': 191.22999572753903, '2022-07-25': 189.6300048828125}, '1_month_later': {'2022-08-11': 197.4199981689453}, '3_months_later': {'2022-10-11': 168.86000061035156}, '6_months_later': {'2023-01-11': 153.27999877929688}, '12_months_later': {'2023-07-11': 70.12000274658203}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AAT
|
{'date': '2022-07-11', 'ticker': 'AAT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.030000686645508, 'high': 29.46999931335449, 'open': 29.350000381469727, 'close': 29.15999984741211, 'ema_50': 31.73446945437061, 'rsi_14': 46.049655665322575, 'target': 29.8700008392334, 'volume': 127100.0, 'ema_200': 34.579016163479466, 'adj_close': 26.75743865966797, 'rsi_lag_1': 57.11253161199407, 'rsi_lag_2': 54.343419164041656, 'rsi_lag_3': 59.786478800773445, 'rsi_lag_4': 58.94735151381503, 'rsi_lag_5': 44.963502836657284, 'macd_lag_1': -0.6383652277476379, 'macd_lag_2': -0.6435345553669194, 'macd_lag_3': -0.6845536495925941, 'macd_lag_4': -0.7208427493324301, 'macd_lag_5': -0.8136939786332995, 'macd_12_26_9': -0.6565561037939105, 'macds_12_26_9': -0.7660828536362192}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 29.8700008392334, '2022-07-13': 29.36000061035156, '2022-07-14': 28.8700008392334, '2022-07-15': 29.36000061035156, '2022-07-18': 29.530000686645508, '2022-07-19': 30.11000061035156, '2022-07-20': 30.1299991607666, '2022-07-21': 29.790000915527344, '2022-07-22': 29.68000030517578, '2022-07-25': 29.950000762939453}, '1_month_later': {'2022-08-11': 30.18000030517578}, '3_months_later': {'2022-10-11': 25.299999237060547}, '6_months_later': {'2023-01-11': 27.13999938964844}, '12_months_later': {'2023-07-11': 20.540000915527344}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AB
|
{'date': '2022-07-11', 'ticker': 'AB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 40.61000061035156, 'high': 41.34000015258789, 'open': 41.04999923706055, 'close': 41.02000045776367, 'ema_50': 41.91400054581453, 'rsi_14': 55.40386946364691, 'target': 41.0099983215332, 'volume': 191400.0, 'ema_200': 44.42214563537592, 'adj_close': 36.63914489746094, 'rsi_lag_1': 56.17069768874379, 'rsi_lag_2': 52.93476417521552, 'rsi_lag_3': 54.22833952851062, 'rsi_lag_4': 57.06339302043256, 'rsi_lag_5': 46.17462979291477, 'macd_lag_1': 0.049750063028511704, 'macd_lag_2': 0.08452053238565327, 'macd_lag_3': 0.0808346351114082, 'macd_lag_4': 0.15335397155560315, 'macd_lag_5': 0.17546641692005238, 'macd_12_26_9': -0.013158315527562081, 'macds_12_26_9': 0.08747127237898426}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 41.0099983215332, '2022-07-13': 40.77999877929688, '2022-07-14': 40.43000030517578, '2022-07-15': 41.02999877929688, '2022-07-18': 39.90999984741211, '2022-07-19': 41.11000061035156, '2022-07-20': 42.02000045776367, '2022-07-21': 42.20000076293945, '2022-07-22': 41.58000183105469, '2022-07-25': 41.79999923706055}, '1_month_later': {'2022-08-11': 44.31999969482422}, '3_months_later': {'2022-10-11': 33.2599983215332}, '6_months_later': {'2023-01-11': 38.630001068115234}, '12_months_later': {'2023-07-11': 31.780000686645508}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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ABBV
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{'date': '2022-07-11', 'ticker': 'ABBV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/notable-etf-inflow-detected-ivw-lly-tmo-abbv', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the iShares S&P 500 Growth ETF (Symbol: IVW) where we have detected an approximate $158.5 million dollar inflow -- that's a 0.5% increase week over week in outstanding units (from 463,550,000 to 466,050,000). Among the largest underlying components of IVW, in trading today Eli Lilly (Symbol: LLY) is trading flat, Thermo Fisher Scientific Inc (Symbol: TMO) is off about 0.3%, and AbbVie Inc (Symbol: ABBV) is up by about 0.5%. For a complete list of holdings, visit the IVW Holdings page » The chart below shows the one year price performance of IVW, versus its 200 day moving average:\nLooking at the chart above, IVW's low point in its 52 week range is $57.62 per share, with $85.09 as the 52 week high point — that compares with a last trade of $62.40. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average ».\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs had notable inflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Among the largest underlying components of IVW, in trading today Eli Lilly (Symbol: LLY) is trading flat, Thermo Fisher Scientific Inc (Symbol: TMO) is off about 0.3%, and AbbVie Inc (Symbol: ABBV) is up by about 0.5%. For a complete list of holdings, visit the IVW Holdings page » The chart below shows the one year price performance of IVW, versus its 200 day moving average: Looking at the chart above, IVW's low point in its 52 week range is $57.62 per share, with $85.09 as the 52 week high point — that compares with a last trade of $62.40. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "Among the largest underlying components of IVW, in trading today Eli Lilly (Symbol: LLY) is trading flat, Thermo Fisher Scientific Inc (Symbol: TMO) is off about 0.3%, and AbbVie Inc (Symbol: ABBV) is up by about 0.5%. For a complete list of holdings, visit the IVW Holdings page » The chart below shows the one year price performance of IVW, versus its 200 day moving average: Looking at the chart above, IVW's low point in its 52 week range is $57.62 per share, with $85.09 as the 52 week high point — that compares with a last trade of $62.40. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average ».", 'news_article_title': 'Notable ETF Inflow Detected - IVW, LLY, TMO, ABBV', 'news_lexrank_summary': "Among the largest underlying components of IVW, in trading today Eli Lilly (Symbol: LLY) is trading flat, Thermo Fisher Scientific Inc (Symbol: TMO) is off about 0.3%, and AbbVie Inc (Symbol: ABBV) is up by about 0.5%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the iShares S&P 500 Growth ETF (Symbol: IVW) where we have detected an approximate $158.5 million dollar inflow -- that's a 0.5% increase week over week in outstanding units (from 463,550,000 to 466,050,000). For a complete list of holdings, visit the IVW Holdings page » The chart below shows the one year price performance of IVW, versus its 200 day moving average: Looking at the chart above, IVW's low point in its 52 week range is $57.62 per share, with $85.09 as the 52 week high point — that compares with a last trade of $62.40.", 'news_textrank_summary': "Among the largest underlying components of IVW, in trading today Eli Lilly (Symbol: LLY) is trading flat, Thermo Fisher Scientific Inc (Symbol: TMO) is off about 0.3%, and AbbVie Inc (Symbol: ABBV) is up by about 0.5%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the iShares S&P 500 Growth ETF (Symbol: IVW) where we have detected an approximate $158.5 million dollar inflow -- that's a 0.5% increase week over week in outstanding units (from 463,550,000 to 466,050,000). For a complete list of holdings, visit the IVW Holdings page » The chart below shows the one year price performance of IVW, versus its 200 day moving average: Looking at the chart above, IVW's low point in its 52 week range is $57.62 per share, with $85.09 as the 52 week high point — that compares with a last trade of $62.40."}, {'news_url': 'https://www.nasdaq.com/articles/is-trending-stock-abbvie-inc.-abbv-a-buy-now-0', 'news_author': None, 'news_article': 'AbbVie (ABBV) is one of the stocks most watched by Zacks.com visitors lately. So, it might be a good idea to review some of the factors that might affect the near-term performance of the stock.\nOver the past month, shares of this drugmaker have returned +6.7%, compared to the Zacks S&P 500 composite\'s -5.1% change. During this period, the Zacks Large Cap Pharmaceuticals industry, which AbbVie falls in, has gained 0.3%. The key question now is: What could be the stock\'s future direction?\nAlthough media reports or rumors about a significant change in a company\'s business prospects usually cause its stock to trend and lead to an immediate price change, there are always certain fundamental factors that ultimately drive the buy-and-hold decision.\nRevisions to Earnings Estimates\nRather than focusing on anything else, we at Zacks prioritize evaluating the change in a company\'s earnings projection. This is because we believe the fair value for its stock is determined by the present value of its future stream of earnings.\nOur analysis is essentially based on how sell-side analysts covering the stock are revising their earnings estimates to take the latest business trends into account. When earnings estimates for a company go up, the fair value for its stock goes up as well. And when a stock\'s fair value is higher than its current market price, investors tend to buy the stock, resulting in its price moving upward. Because of this, empirical studies indicate a strong correlation between trends in earnings estimate revisions and short-term stock price movements.\nAbbVie is expected to post earnings of $3.41 per share for the current quarter, representing a year-over-year change of +9.7%. Over the last 30 days, the Zacks Consensus Estimate remained unchanged.\nFor the current fiscal year, the consensus earnings estimate of $14 points to a change of +10.2% from the prior year. Over the last 30 days, this estimate has changed -1.4%.\nFor the next fiscal year, the consensus earnings estimate of $11.86 indicates a change of -15.3% from what AbbVie is expected to report a year ago. Over the past month, the estimate has remained unchanged.\nWith an impressive externally audited track record, our proprietary stock rating tool -- the Zacks Rank -- is a more conclusive indicator of a stock\'s near-term price performance, as it effectively harnesses the power of earnings estimate revisions. The size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, has resulted in a Zacks Rank #4 (Sell) for AbbVie.\nThe chart below shows the evolution of the company\'s forward 12-month consensus EPS estimate:\n12 Month EPS\nProjected Revenue Growth\nWhile earnings growth is arguably the most superior indicator of a company\'s financial health, nothing happens as such if a business isn\'t able to grow its revenues. After all, it\'s nearly impossible for a company to increase its earnings for an extended period without increasing its revenues. So, it\'s important to know a company\'s potential revenue growth.\nIn the case of AbbVie, the consensus sales estimate of $14.66 billion for the current quarter points to a year-over-year change of +5%. The $59.63 billion and $55.98 billion estimates for the current and next fiscal years indicate changes of +6.1% and -6.1%, respectively.\nLast Reported Results and Surprise History\nAbbVie reported revenues of $13.54 billion in the last reported quarter, representing a year-over-year change of +4.1%. EPS of $3.16 for the same period compares with $2.95 a year ago.\nCompared to the Zacks Consensus Estimate of $13.55 billion, the reported revenues represent a surprise of -0.09%. The EPS surprise was +0.32%.\nOver the last four quarters, AbbVie surpassed consensus EPS estimates three times. The company topped consensus revenue estimates just once over this period.\nValuation\nWithout considering a stock\'s valuation, no investment decision can be efficient. In predicting a stock\'s future price performance, it\'s crucial to determine whether its current price correctly reflects the intrinsic value of the underlying business and the company\'s growth prospects.\nComparing the current value of a company\'s valuation multiples, such as its price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), to its own historical values helps ascertain whether its stock is fairly valued, overvalued, or undervalued, whereas comparing the company relative to its peers on these parameters gives a good sense of how reasonable its stock price is.\nThe Zacks Value Style Score (part of the Zacks Style Scores system), which pays close attention to both traditional and unconventional valuation metrics to grade stocks from A to F (an An is better than a B; a B is better than a C; and so on), is pretty helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.\nAbbVie is graded B on this front, indicating that it is trading at a discount to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.\nBottom Line\nThe facts discussed here and much other information on Zacks.com might help determine whether or not it\'s worthwhile paying attention to the market buzz about AbbVie. However, its Zacks Rank #4 does suggest that it may underperform the broader market in the near term.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nAbbVie Inc. (ABBV): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Bottom Line The facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about AbbVie. AbbVie (ABBV) is one of the stocks most watched by Zacks.com visitors lately. During this period, the Zacks Large Cap Pharmaceuticals industry, which AbbVie falls in, has gained 0.3%.", 'news_luhn_summary': 'For the next fiscal year, the consensus earnings estimate of $11.86 indicates a change of -15.3% from what AbbVie is expected to report a year ago. Last Reported Results and Surprise History AbbVie reported revenues of $13.54 billion in the last reported quarter, representing a year-over-year change of +4.1%. AbbVie (ABBV) is one of the stocks most watched by Zacks.com visitors lately.', 'news_article_title': 'Is Trending Stock AbbVie Inc. (ABBV) a Buy Now?', 'news_lexrank_summary': 'The size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, has resulted in a Zacks Rank #4 (Sell) for AbbVie. AbbVie (ABBV) is one of the stocks most watched by Zacks.com visitors lately. During this period, the Zacks Large Cap Pharmaceuticals industry, which AbbVie falls in, has gained 0.3%.', 'news_textrank_summary': 'The size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, has resulted in a Zacks Rank #4 (Sell) for AbbVie. AbbVie (ABBV) is one of the stocks most watched by Zacks.com visitors lately. During this period, the Zacks Large Cap Pharmaceuticals industry, which AbbVie falls in, has gained 0.3%.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 152.27999877929688, 'high': 154.5, 'open': 152.27999877929688, 'close': 153.22999572753906, 'ema_50': 150.22300963724695, 'rsi_14': 83.86955821338421, 'target': 152.4600067138672, 'volume': 4491000.0, 'ema_200': 140.48123436072498, 'adj_close': 144.4455108642578, 'rsi_lag_1': 80.36354659145479, 'rsi_lag_2': 80.54463991336584, 'rsi_lag_3': 82.82701300795529, 'rsi_lag_4': 81.3933649602023, 'rsi_lag_5': 69.80570688276839, 'macd_lag_1': 1.4186845329689959, 'macd_lag_2': 1.3783274450840963, 'macd_lag_3': 1.393314802431405, 'macd_lag_4': 1.338214211154508, 'macd_lag_5': 1.1058760530295615, 'macd_12_26_9': 1.4644485515134988, 'macds_12_26_9': 0.7995117805568711}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 152.4600067138672, '2022-07-13': 152.14999389648438, '2022-07-14': 150.44000244140625, '2022-07-15': 153.6199951171875, '2022-07-18': 149.57000732421875, '2022-07-19': 149.74000549316406, '2022-07-20': 147.69000244140625, '2022-07-21': 147.75, '2022-07-22': 148.47000122070312, '2022-07-25': 150.22000122070312}, '1_month_later': {'2022-08-11': 142.0800018310547}, '3_months_later': {'2022-10-11': 141.50999450683594}, '6_months_later': {'2023-01-11': 157.1699981689453}, '12_months_later': {'2023-07-11': 135.57000732421875}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACB
|
{'date': '2022-07-11', 'ticker': 'ACB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/why-shares-of-aurora-cannabis-canopy-growth-and-sundial-growers-are-slumping-today', 'news_author': None, 'news_article': "What happened\nMarijuana stocks are in retreat yet again today. Specifically, shares of Aurora Cannabis (NASDAQ: ACB) and Canopy Growth (NASDAQ: CGC) were both down by approximately 6.8%, while Sundial Growers (NASDAQ: SNDL) stock had fallen 5.5% as of 10:36 a.m. ET Monday morning.\nCannabis equities have been steadily moving lower in 2022. The industry has struggled in the face of supply gluts, shifting consumer trends, a fragmented legal landscape in key geographies like the U.S., banking limitations, and margin erosion stemming from legal and illegal competition, among many other headwinds.\nImage Source: Getty Images.\nSo what\nShares of Aurora Cannabis, Canopy Growth, and Sundial growers are likely dipping again today due to concerns about this week's spate of upcoming corporate earnings. Investors appear to be worried that inflation may have cut into corporate profits over the prior three-month period. Underscoring this point, every major U.S. stock index is down by almost 1% at the time of this writing.\nWhy are these top marijuana stocks getting punished over investors' concerns about corporate profits? The fact of the matter is that Aurora, Canopy, and Sundial have all been struggling to achieve profitability since their inception.\nSpeaking to this point, the high-value U.S. cannabis market is still largely off-limits for these Canada-based companies, and their domestic market is simply too small to support multiple billion-dollar enterprises.\nAs a result, this unfavorable situation in the budding cannabis space has become an increasingly hard sell to investors. As such, it's not altogether surprising to see these top cannabis stocks come under pressure as investors steadily lose their appetite for risk.\nNow what\nAre any of these beaten-down cannabis stocks a buy right now? At first glance, shares of Aurora and Canopy might be tempting at these bargain-basement levels. After all, both of these companies could grow into titans of the massive global cannabis market in the years to come.\nUnfortunately, these two early pioneers of the legal marijuana game are both staring down some serious financial headwinds at the moment. So until their top and bottom lines stabilize, investors are probably best served by staying on the sidelines.\nAs far as Sundial Growers is concerned, the company is in the process of dealing with its share price not being in compliance with the Nasdaq's $1 bid requirement. Now, the company may come out in a far stronger position once this key overhang with its stock has finally been addressed. But its shares don't exactly come across as a screaming buy ahead of this material event.\n10 stocks we like better than Aurora Cannabis Inc.\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and Aurora Cannabis Inc. wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nGeorge Budwell has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Specifically, shares of Aurora Cannabis (NASDAQ: ACB) and Canopy Growth (NASDAQ: CGC) were both down by approximately 6.8%, while Sundial Growers (NASDAQ: SNDL) stock had fallen 5.5% as of 10:36 a.m. So what Shares of Aurora Cannabis, Canopy Growth, and Sundial growers are likely dipping again today due to concerns about this week's spate of upcoming corporate earnings. As such, it's not altogether surprising to see these top cannabis stocks come under pressure as investors steadily lose their appetite for risk.", 'news_luhn_summary': "Specifically, shares of Aurora Cannabis (NASDAQ: ACB) and Canopy Growth (NASDAQ: CGC) were both down by approximately 6.8%, while Sundial Growers (NASDAQ: SNDL) stock had fallen 5.5% as of 10:36 a.m. So what Shares of Aurora Cannabis, Canopy Growth, and Sundial growers are likely dipping again today due to concerns about this week's spate of upcoming corporate earnings. Why are these top marijuana stocks getting punished over investors' concerns about corporate profits?", 'news_article_title': 'Why Shares of Aurora Cannabis, Canopy Growth, and Sundial Growers Are Slumping Today', 'news_lexrank_summary': "Specifically, shares of Aurora Cannabis (NASDAQ: ACB) and Canopy Growth (NASDAQ: CGC) were both down by approximately 6.8%, while Sundial Growers (NASDAQ: SNDL) stock had fallen 5.5% as of 10:36 a.m. Why are these top marijuana stocks getting punished over investors' concerns about corporate profits? 10 stocks we like better than Aurora Cannabis Inc.", 'news_textrank_summary': "Specifically, shares of Aurora Cannabis (NASDAQ: ACB) and Canopy Growth (NASDAQ: CGC) were both down by approximately 6.8%, while Sundial Growers (NASDAQ: SNDL) stock had fallen 5.5% as of 10:36 a.m. * They just revealed what they believe are the ten best stocks for investors to buy right now... and Aurora Cannabis Inc. wasn't one of them! See the 10 stocks *Stock Advisor returns as of June 2, 2022 George Budwell has no position in any of the stocks mentioned."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.2599999904632568, 'high': 1.409999966621399, 'open': 1.3799999952316284, 'close': 1.2599999904632568, 'ema_50': 1.9786527487742698, 'rsi_14': 48.38709842815514, 'target': 1.2999999523162842, 'volume': 9958000.0, 'ema_200': 4.209841193423442, 'adj_close': 1.2599999904632568, 'rsi_lag_1': 59.3023234860455, 'rsi_lag_2': 55.43478415796579, 'rsi_lag_3': 54.44444694636786, 'rsi_lag_4': 56.38297939797022, 'rsi_lag_5': 47.70642402507026, 'macd_lag_1': -0.1749490834905667, 'macd_lag_2': -0.18672533360659882, 'macd_lag_3': -0.20514920339564657, 'macd_lag_4': -0.21957167520177734, 'macd_lag_5': -0.2317316813989816, 'macd_12_26_9': -0.1740993249453089, 'macds_12_26_9': -0.22038043058825868}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 1.2999999523162842, '2022-07-13': 1.3200000524520874, '2022-07-14': 1.4800000190734863, '2022-07-15': 1.3700000047683716, '2022-07-18': 1.440000057220459, '2022-07-19': 1.5199999809265137, '2022-07-20': 1.649999976158142, '2022-07-21': 1.5299999713897705, '2022-07-22': 1.409999966621399, '2022-07-25': 1.4299999475479126}, '1_month_later': {'2022-08-11': 1.6100000143051147}, '3_months_later': {'2022-10-11': 1.0399999618530271}, '6_months_later': {'2023-01-11': 0.8859999775886536}, '12_months_later': {'2023-07-11': 0.5799999833106995}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACAD
|
{'date': '2022-07-11', 'ticker': 'ACAD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.59000015258789, 'high': 16.270000457763672, 'open': 15.710000038146973, 'close': 15.920000076293944, 'ema_50': 17.10425069465357, 'rsi_14': 34.95389748217195, 'target': 15.529999732971191, 'volume': 1989100.0, 'ema_200': 21.024975447192883, 'adj_close': 15.920000076293944, 'rsi_lag_1': 33.95744486058011, 'rsi_lag_2': 37.720704613770714, 'rsi_lag_3': 46.07366196149793, 'rsi_lag_4': 44.9186992657871, 'rsi_lag_5': 40.409025418111895, 'macd_lag_1': -0.6089227558085515, 'macd_lag_2': -0.7053846201619258, 'macd_lag_3': -0.8151903779226295, 'macd_lag_4': -0.8834123967948369, 'macd_lag_5': -0.9729116515537175, 'macd_12_26_9': -0.5120489316907921, 'macds_12_26_9': -0.7101128128666637}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 15.529999732971191, '2022-07-13': 15.989999771118164, '2022-07-14': 15.739999771118164, '2022-07-15': 15.279999732971191, '2022-07-18': 15.010000228881836, '2022-07-19': 15.470000267028809, '2022-07-20': 15.09000015258789, '2022-07-21': 14.979999542236328, '2022-07-22': 14.420000076293944, '2022-07-25': 14.229999542236328}, '1_month_later': {'2022-08-11': 15.739999771118164}, '3_months_later': {'2022-10-11': 15.880000114440918}, '6_months_later': {'2023-01-11': 17.020000457763672}, '12_months_later': {'2023-07-11': 24.86000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ACA
|
{'date': '2022-07-11', 'ticker': 'ACA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/armstrong-world-awi-joins-price-industries-boosts-innovation', 'news_author': None, 'news_article': 'To maintain its position as a leading manufacturer of sustainable ceiling and wall solutions, Armstrong World Industries, Inc. AWI continues partnering and collaborating with various companies. Recently, AWI extended its partnership with Price Industries, a leader in the commercial construction industry.\n\nBoth the companies will focus on accelerating the development of holistic solutions to promote healthy indoor spaces. The two companies have launched their first product, the StrataCleanIQ, a ceiling-mounted filtration unit using MERV 13 filtration.\nBoth companies will continue to develop new products that address the key attributes of healthy spaces. In addition, Armstrong and Price will ally on IEQ research and testing, marketing and industry leadership, including advancing indoor environmental quality (IEQ) standards into commercial building codes.\n\nPrice runs industry-leading research and technology centers and has developed deep relationships in the mechanical engineering community. Both the companies has been fulfilling the need for healthy building solutions that support IEQ.\nThe COVID-19 pandemic highlighted the pressing need for indoor air quality that is influenced by factors like acoustics, light, air quality and thermal comfort. All four components are critical for overall physical and psychological well-being and productivity.\n\nImage Source: Zacks Investment Research\nArmstrong’s chief executive officer, Vic Grizzle, said, “Now, more than ever, we see increasing demand for products that can make a meaningful impact on healthy indoor spaces. By building on our complementary strengths and our shared commitment to innovation, customer-centric values and sustainability, I’m confident we can bring the new solutions needed to make every space a healthy space.”\nDigital Innovation & New Technology to Drive Growth\nArmstrong World remains focused on digitalization initiatives and new technology enhancement. The company is continuously investing in Healthy Spaces and digital initiatives and is optimistic about its contribution to growth. During 2021, the company continued with additional digital investments, with several initiatives focusing on speed and cost benefits for customers.\n\nOn March 1, AWI and Irving Consumer Products announced a partnership between their respective Macon, Georgia, facilities. Per the deal, Irving Consumer Products will begin diverting its tissue fiber waste to AWI’s mineral fiber plant. This will help reduce Armstrong’s need to source and purchase recycled newsprint as an input raw material for its ceilings.\n\nIn October 2021, AWI teamed up with 9 Foundations, Inc., an independent scientific advisory firm. 9F continues to work towards Armstrong’s focus on manufacturing ceiling and wall solutions based on the most advanced healthy building science and design.\n\nArmstrong World’s shares have underperformed the Zacks Building Products - Miscellaneous industry in the past three months.\nZacks Rank & Key Picks\nCurrently, Armstrong World carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.\n\nArcosa, Inc. ACA: This Dallas, TX-based company provides infrastructure-related products and solutions. The company remains focused on its long-term vision to lessen the complexity of Arcosa’s overall portfolio and shift its business mix toward less cyclical, higher-margin growth opportunities that leverage core strengths and drive long-term shareholder value creation.\nRecently, it signed a deal to sell its storage tanks business and aims to invest the proceeds into its key growth businesses. Also, ACA’s inorganic drive to expand its portfolio, improved efficiencies in utility structures business and solid execution in cyclical businesses, should drive growth.\n\nArcosa, a Zacks Rank #1 stock, has seen an upward estimate revision for 2022 earnings over the past 60 days to $1.83 per share from $1.79.\n\nQuanex Building Products Corp. NX: This Houston, TX-based company provides components for the fenestration industry worldwide. Despite ongoing challenges related to inflation and the supply chain, NX registered higher demand for its products during the second quarter of fiscal 2022 and it has started to see the benefit of its pass-through pricing strategy, which drove revenue growth and improved profitability.\nThe company expects further margin expansion in the second half of fiscal 2022 despite inflationary pressure. It is focused on generating cash, paying down debt and opportunistically repurchasing stock.\n\nQuanex has seen a 21.8% upward estimate revision for fiscal 2022 earnings over the past 30 days. This Zacks Rank #1 company’s earnings for fiscal 2022 are expected to rise 34.3% from fiscal 2021.\n\nTopBuild Corp. BLD: TopBuild currently carries a Zacks Rank #2 (Buy). This Daytona Beach, FL-based company is an installer and distributor of insulation and other building products to the U.S. construction industry. The company has been benefitting from increased sales volume, solid contribution from acquisitions and pricing at both businesses and defying the labor and material-constrained market.\n\nTopBuild delivered an earnings surprise of 8.7%, on average, in three of the trailing four. The Zacks Consensus Estimate for 2022 earnings reflects 37.6% year-over-year growth.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nQuanex Building Products Corporation (NX): Free Stock Analysis Report\n \nArmstrong World Industries, Inc. (AWI): Free Stock Analysis Report\n \nTopBuild Corp. (BLD): Free Stock Analysis Report\n \nArcosa, Inc. (ACA): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Arcosa, Inc. ACA: This Dallas, TX-based company provides infrastructure-related products and solutions. Also, ACA’s inorganic drive to expand its portfolio, improved efficiencies in utility structures business and solid execution in cyclical businesses, should drive growth. Arcosa, Inc. (ACA): Free Stock Analysis Report', 'news_luhn_summary': 'Arcosa, Inc. ACA: This Dallas, TX-based company provides infrastructure-related products and solutions. Also, ACA’s inorganic drive to expand its portfolio, improved efficiencies in utility structures business and solid execution in cyclical businesses, should drive growth. Arcosa, Inc. (ACA): Free Stock Analysis Report', 'news_article_title': 'Armstrong World (AWI) Joins Price Industries, Boosts Innovation', 'news_lexrank_summary': 'Arcosa, Inc. ACA: This Dallas, TX-based company provides infrastructure-related products and solutions. Also, ACA’s inorganic drive to expand its portfolio, improved efficiencies in utility structures business and solid execution in cyclical businesses, should drive growth. Arcosa, Inc. (ACA): Free Stock Analysis Report', 'news_textrank_summary': 'Arcosa, Inc. ACA: This Dallas, TX-based company provides infrastructure-related products and solutions. Also, ACA’s inorganic drive to expand its portfolio, improved efficiencies in utility structures business and solid execution in cyclical businesses, should drive growth. Arcosa, Inc. (ACA): Free Stock Analysis Report'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.790000915527344, 'high': 45.59999847412109, 'open': 45.09999847412109, 'close': 45.09000015258789, 'ema_50': 49.75974837533476, 'rsi_14': 40.62039187092926, 'target': 45.0099983215332, 'volume': 78200.0, 'ema_200': 52.171134250629045, 'adj_close': 44.86463928222656, 'rsi_lag_1': 50.41096792365178, 'rsi_lag_2': 31.345836475690405, 'rsi_lag_3': 29.40157259401252, 'rsi_lag_4': 31.10093159061246, 'rsi_lag_5': 25.897648410329552, 'macd_lag_1': -1.6808446288684138, 'macd_lag_2': -1.7124429677010369, 'macd_lag_3': -1.7492474019726032, 'macd_lag_4': -1.7412522790150078, 'macd_lag_5': -1.7810659143709984, 'macd_12_26_9': -1.668842124680829, 'macds_12_26_9': -1.6798748291103152}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 45.0099983215332, '2022-07-13': 44.720001220703125, '2022-07-14': 44.790000915527344, '2022-07-15': 45.7400016784668, '2022-07-18': 45.68000030517578, '2022-07-19': 47.08000183105469, '2022-07-20': 47.970001220703125, '2022-07-21': 48.880001068115234, '2022-07-22': 48.25, '2022-07-25': 48.5099983215332}, '1_month_later': {'2022-08-11': 63.720001220703125}, '3_months_later': {'2022-10-11': 62.52999877929688}, '6_months_later': {'2023-01-11': 57.790000915527344}, '12_months_later': {'2023-07-11': 77.08999633789062}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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