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HUIZ
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{'date': '2022-07-11', 'ticker': 'HUIZ', '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': 1.1399999856948853, 'high': 1.2200000286102295, 'open': 1.2200000286102295, 'close': 1.159999966621399, 'ema_50': 1.121331919354621, 'rsi_14': 59.090906627908026, 'target': 1.1299999952316284, 'volume': 23900.0, 'ema_200': 1.833443446986059, 'adj_close': 1.159999966621399, 'rsi_lag_1': 66.94214843464448, 'rsi_lag_2': 65.83333432674385, 'rsi_lag_3': 69.82758230885311, 'rsi_lag_4': 68.64406539941164, 'rsi_lag_5': 68.64405152990908, 'macd_lag_1': 0.05918036871074639, 'macd_lag_2': 0.06189162538919479, 'macd_lag_3': 0.06547011384573942, 'macd_lag_4': 0.06603073127828751, 'macd_lag_5': 0.06374947428835553, 'macd_12_26_9': 0.05079769483588992, 'macds_12_26_9': 0.05504350364439839}, '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': 1.1299999952316284, '2022-07-13': 1.1799999475479126, '2022-07-14': 1.100000023841858, '2022-07-15': 1.090000033378601, '2022-07-18': 1.059999942779541, '2022-07-19': 1.0700000524520874, '2022-07-20': 1.1299999952316284, '2022-07-21': 1.1799999475479126, '2022-07-22': 1.1799999475479126, '2022-07-25': 1.190000057220459}, '1_month_later': {'2022-08-11': 1.024999976158142}, '3_months_later': {'2022-10-11': 0.699999988079071}, '6_months_later': {'2023-01-11': 1.2799999713897705}, '12_months_later': {'2023-07-11': 1.2949999570846558}}
|
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.
|
HRZN
|
{'date': '2022-07-11', 'ticker': 'HRZN', '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': 11.859999656677246, 'high': 12.0, 'open': 11.9399995803833, 'close': 11.890000343322754, 'ema_50': 12.137256608975909, 'rsi_14': 80.86425421942805, 'target': 11.890000343322754, 'volume': 138600.0, 'ema_200': 14.004936416565847, 'adj_close': 10.077649116516112, 'rsi_lag_1': 85.96496609433147, 'rsi_lag_2': 56.504061258478416, 'rsi_lag_3': 60.37037887363996, 'rsi_lag_4': 58.42294396872773, 'rsi_lag_5': 49.69511503694034, 'macd_lag_1': -0.03872873578396607, 'macd_lag_2': -0.06491906745980458, 'macd_lag_3': -0.08925773031293183, 'macd_lag_4': -0.11596990201112689, 'macd_lag_5': -0.1524502350653325, 'macd_12_26_9': -0.023351913279938685, 'macds_12_26_9': -0.11894795621450023}, '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': 11.890000343322754, '2022-07-13': 11.90999984741211, '2022-07-14': 11.899999618530272, '2022-07-15': 12.0, '2022-07-18': 12.079999923706056, '2022-07-19': 12.199999809265137, '2022-07-20': 12.34000015258789, '2022-07-21': 12.43000030517578, '2022-07-22': 12.420000076293944, '2022-07-25': 12.210000038146973}, '1_month_later': {'2022-08-11': 13.699999809265137}, '3_months_later': {'2022-10-11': 10.119999885559082}, '6_months_later': {'2023-01-11': 12.300000190734863}, '12_months_later': {'2023-07-11': 12.460000038146973}}
|
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.
|
HTZ
|
{'date': '2022-07-11', 'ticker': 'HTZ', '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/hertz-global-holdings-inc.-htz-dips-more-than-broader-markets%3A-what-you-should-know-0', 'news_author': None, 'news_article': 'In the latest trading session, Hertz Global Holdings, Inc. (HTZ) closed at $16.79, marking a -1.24% move from the previous day. This move lagged the S&P 500\'s daily loss of 1.15%. Elsewhere, the Dow lost 0.52%, while the tech-heavy Nasdaq lost 0.34%.\nPrior to today\'s trading, shares of the company had lost 2.58% over the past month. This has was narrower than the Transportation sector\'s loss of 5.79% and the S&P 500\'s loss of 5.08% in that time.\nHertz Global Holdings, Inc. will be looking to display strength as it nears its next earnings release, which is expected to be July 28, 2022. The company is expected to report EPS of $1.17, down 54.12% from the prior-year quarter. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $2.39 billion, up 27.58% from the year-ago period.\nFor the full year, our Zacks Consensus Estimates are projecting earnings of $3.69 per share and revenue of $9.66 billion, which would represent changes of -15.95% and +31.72%, respectively, from the prior year.\nIt is also important to note the recent changes to analyst estimates for Hertz Global Holdings, Inc.Recent revisions tend to reflect the latest near-term business trends. With this in mind, we can consider positive estimate revisions a sign of optimism about the company\'s business outlook.\nOur research shows that these estimate changes are directly correlated with near-term stock prices. Investors can capitalize on this by using the Zacks Rank. This model considers these estimate changes and provides a simple, actionable rating system.\nThe Zacks Rank system ranges from #1 (Strong Buy) to #5 (Strong Sell). It has a remarkable, outside-audited track record of success, with #1 stocks delivering an average annual return of +25% since 1988. Over the past month, the Zacks Consensus EPS estimate remained stagnant. Hertz Global Holdings, Inc. currently has a Zacks Rank of #3 (Hold).\nDigging into valuation, Hertz Global Holdings, Inc. currently has a Forward P/E ratio of 4.6. This represents a discount compared to its industry\'s average Forward P/E of 10.52.\nThe Transportation - Services industry is part of the Transportation sector. This industry currently has a Zacks Industry Rank of 60, which puts it in the top 24% of all 250+ industries.\nThe Zacks Industry Rank gauges the strength of our industry groups by measuring the average Zacks Rank of the individual stocks within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nYou can find more information on all of these metrics, and much more, on Zacks.com.\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 \nHertz Global Holdings, Inc. (HTZ): 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': 'In the latest trading session, Hertz Global Holdings, Inc. (HTZ) closed at $16.79, marking a -1.24% move from the previous day. Hertz Global Holdings, Inc. (HTZ): Free Stock Analysis Report It is also important to note the recent changes to analyst estimates for Hertz Global Holdings, Inc.Recent revisions tend to reflect the latest near-term business trends.', 'news_luhn_summary': 'Hertz Global Holdings, Inc. (HTZ): Free Stock Analysis Report In the latest trading session, Hertz Global Holdings, Inc. (HTZ) closed at $16.79, marking a -1.24% move from the previous day. For the full year, our Zacks Consensus Estimates are projecting earnings of $3.69 per share and revenue of $9.66 billion, which would represent changes of -15.95% and +31.72%, respectively, from the prior year.', 'news_article_title': 'Hertz Global Holdings, Inc. (HTZ) Dips More Than Broader Markets: What You Should Know', 'news_lexrank_summary': 'In the latest trading session, Hertz Global Holdings, Inc. (HTZ) closed at $16.79, marking a -1.24% move from the previous day. Hertz Global Holdings, Inc. (HTZ): Free Stock Analysis Report For the full year, our Zacks Consensus Estimates are projecting earnings of $3.69 per share and revenue of $9.66 billion, which would represent changes of -15.95% and +31.72%, respectively, from the prior year.', 'news_textrank_summary': 'In the latest trading session, Hertz Global Holdings, Inc. (HTZ) closed at $16.79, marking a -1.24% move from the previous day. Hertz Global Holdings, Inc. (HTZ): Free Stock Analysis Report Hertz Global Holdings, Inc. currently has a Zacks Rank of #3 (Hold).'}], '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': 16.719999313354492, 'high': 17.100000381469727, 'open': 16.760000228881836, 'close': 16.790000915527344, 'ema_50': 18.417203333597126, 'rsi_14': 41.27466419531474, 'target': 16.829999923706055, 'volume': 4901700.0, 'ema_200': 19.42859601637271, 'adj_close': 16.790000915527344, 'rsi_lag_1': 46.41288797279111, 'rsi_lag_2': 42.16216884972012, 'rsi_lag_3': 43.461036573950764, 'rsi_lag_4': 51.45754943329542, 'rsi_lag_5': 45.27872982394469, 'macd_lag_1': -0.5816344438755365, 'macd_lag_2': -0.6220351791095773, 'macd_lag_3': -0.6594625926114475, 'macd_lag_4': -0.6263685940892891, 'macd_lag_5': -0.620836061379002, 'macd_12_26_9': -0.5601051971529465, 'macds_12_26_9': -0.5851571600282593}, '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': 16.829999923706055, '2022-07-13': 17.200000762939453, '2022-07-14': 16.829999923706055, '2022-07-15': 17.309999465942383, '2022-07-18': 17.34000015258789, '2022-07-19': 17.84000015258789, '2022-07-20': 18.3799991607666, '2022-07-21': 18.21999931335449, '2022-07-22': 17.739999771118164, '2022-07-25': 17.950000762939453}, '1_month_later': {'2022-08-11': 21.64999961853028}, '3_months_later': {'2022-10-11': 16.209999084472656}, '6_months_later': {'2023-01-11': 16.770000457763672}, '12_months_later': {'2023-07-11': 19.07999992370605}}
|
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.
|
HTY
|
{'date': '2022-07-11', 'ticker': 'HTY', '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': 5.329999923706055, 'high': 5.409999847412109, 'open': 5.409999847412109, 'close': 5.329999923706055, 'ema_50': 5.611929015218517, 'rsi_14': 69.44444444444444, 'target': 5.340000152587891, 'volume': 5300.0, 'ema_200': 6.120721468698456, 'adj_close': 4.373826026916504, 'rsi_lag_1': 74.62689222754415, 'rsi_lag_2': 62.50000000000001, 'rsi_lag_3': 58.90412301099992, 'rsi_lag_4': 55.844169516338184, 'rsi_lag_5': 44.32988879860114, 'macd_lag_1': -0.07613238167734959, 'macd_lag_2': -0.08625319900266248, 'macd_lag_3': -0.09995281191581462, 'macd_lag_4': -0.10783919381066287, 'macd_lag_5': -0.11735471991444602, 'macd_12_26_9': -0.0721216811265144, 'macds_12_26_9': -0.10825300696195382}, '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': 5.340000152587891, '2022-07-13': 5.320000171661377, '2022-07-14': 5.210000038146973, '2022-07-15': 5.309999942779541, '2022-07-18': 5.329999923706055, '2022-07-19': 5.400000095367432, '2022-07-20': 5.360000133514404, '2022-07-21': 5.369999885559082, '2022-07-22': 5.300000190734863, '2022-07-25': 5.260000228881836}, '1_month_later': {'2022-08-11': 5.449999809265137}, '3_months_later': {'2022-10-11': 4.510000228881836}, '6_months_later': {'2023-01-11': 5.150000095367432}, '12_months_later': {'2023-07-11': 4.679999828338623}}
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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.
|
HTUS
|
{'date': '2022-07-11', 'ticker': 'HTUS', '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': 28.74300003051757, 'high': 28.989999771118164, 'open': 28.989999771118164, 'close': 28.74300003051757, 'ema_50': 29.24073789773953, 'rsi_14': 68.36348540564056, 'target': 28.48900032043457, 'volume': 100.0, 'ema_200': 30.948929384437303, 'adj_close': 26.326641082763672, 'rsi_lag_1': 73.74905109710528, 'rsi_lag_2': 63.88819603773752, 'rsi_lag_3': 63.04903293052967, 'rsi_lag_4': 56.821653937187925, 'rsi_lag_5': 42.386118761032705, 'macd_lag_1': -0.23930237389858178, 'macd_lag_2': -0.3210935639063166, 'macd_lag_3': -0.38884739337039065, 'macd_lag_4': -0.42497185751473054, 'macd_lag_5': -0.43995286110044063, 'macd_12_26_9': -0.20041412299667627, 'macds_12_26_9': -0.35846549224128726}, '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': 28.48900032043457, '2022-07-13': 27.8700008392334, '2022-07-14': 28.32699966430664, '2022-07-15': 28.40800094604492, '2022-07-18': 28.56999969482422, '2022-07-19': 29.270000457763672, '2022-07-20': 29.229999542236328, '2022-07-21': 29.4950008392334, '2022-07-22': 29.49799919128418, '2022-07-25': 29.41699981689453}, '1_month_later': {'2022-08-11': 32.12099838256836}, '3_months_later': {'2022-10-11': 26.77499961853028}, '6_months_later': {'2023-01-11': 28.792999267578125}, '12_months_later': {'2023-07-11': 33.15900039672852}}
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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.
|
HTRB
|
{'date': '2022-07-11', 'ticker': 'HTRB', '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': 34.27399826049805, 'high': 34.38999938964844, 'open': 34.27399826049805, 'close': 34.369998931884766, 'ema_50': 34.82727066349296, 'rsi_14': 60.64510254157407, 'target': 34.33000183105469, 'volume': 29400.0, 'ema_200': 37.21457519739458, 'adj_close': 32.717044830322266, 'rsi_lag_1': 55.79709143379986, 'rsi_lag_2': 63.77961270323769, 'rsi_lag_3': 72.36836821763791, 'rsi_lag_4': 67.07317924157454, 'rsi_lag_5': 46.428577510673485, 'macd_lag_1': -0.16213089540680414, 'macd_lag_2': -0.16385153244370798, 'macd_lag_3': -0.17893727860656128, 'macd_lag_4': -0.19966188446830557, 'macd_lag_5': -0.23542830637338596, 'macd_12_26_9': -0.14218310870592887, 'macds_12_26_9': -0.20417385784231976}, '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': 34.33000183105469, '2022-07-13': 34.459999084472656, '2022-07-14': 34.369998931884766, '2022-07-15': 34.45000076293945, '2022-07-18': 34.388999938964844, '2022-07-19': 34.470001220703125, '2022-07-20': 34.41999816894531, '2022-07-21': 34.650001525878906, '2022-07-22': 34.959999084472656, '2022-07-25': 34.847999572753906}, '1_month_later': {'2022-08-11': 34.9900016784668}, '3_months_later': {'2022-10-11': 32.30500030517578}, '6_months_later': {'2023-01-11': 33.869998931884766}, '12_months_later': {'2023-07-11': 33.16999816894531}}
|
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.
|
HTLFP
|
{'date': '2022-07-11', 'ticker': 'HTLFP', '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': 25.64999961853028, 'high': 25.670000076293945, 'open': 25.64999961853028, 'close': 25.670000076293945, 'ema_50': 26.097103442300906, 'rsi_14': 55.17049655552555, 'target': 26.049999237060547, 'volume': 800.0, 'ema_200': 26.905959396056293, 'adj_close': 23.041688919067383, 'rsi_lag_1': 60.76320085625421, 'rsi_lag_2': 49.62045428134352, 'rsi_lag_3': 52.361164153077915, 'rsi_lag_4': 48.704668698724966, 'rsi_lag_5': 44.56521048546765, 'macd_lag_1': -0.12816069821847265, 'macd_lag_2': -0.12178918392929461, 'macd_lag_3': -0.11310725957116574, 'macd_lag_4': -0.09915884669582198, 'macd_lag_5': -0.0656588059096812, 'macd_12_26_9': -0.13009662647850107, 'macds_12_26_9': -0.10644151827613567}, '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': 26.049999237060547, '2022-07-13': 25.75, '2022-07-14': 25.839000701904297, '2022-07-15': 26.25, '2022-07-18': 26.0, '2022-07-19': 25.7549991607666, '2022-07-20': 25.89999961853028, '2022-07-21': 26.040000915527344, '2022-07-22': 25.71999931335449, '2022-07-25': 25.76000022888184}, '1_month_later': {'2022-08-11': 26.440000534057617}, '3_months_later': {'2022-10-11': 25.0}, '6_months_later': {'2023-01-11': 25.84000015258789}, '12_months_later': {'2023-07-11': 24.19099998474121}}
|
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.
|
HA
|
{'date': '2022-07-11', 'ticker': 'HA', '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': 14.050000190734863, 'high': 14.550000190734863, 'open': 14.43000030517578, 'close': 14.130000114440918, 'ema_50': 15.696844962162315, 'rsi_14': 54.330713982930746, 'target': 15.050000190734863, 'volume': 538800.0, 'ema_200': 18.05381752934557, 'adj_close': 14.130000114440918, 'rsi_lag_1': 65.74074891696151, 'rsi_lag_2': 60.169498648530244, 'rsi_lag_3': 60.50420370102641, 'rsi_lag_4': 61.12053991248862, 'rsi_lag_5': 46.32683066530873, 'macd_lag_1': -0.3290706420502083, 'macd_lag_2': -0.3401705441176297, 'macd_lag_3': -0.3829901125284021, 'macd_lag_4': -0.4147635886223551, 'macd_lag_5': -0.49001240707085003, 'macd_12_26_9': -0.3541169435888598, 'macds_12_26_9': -0.4302875263211337}, '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': 15.050000190734863, '2022-07-13': 14.9399995803833, '2022-07-14': 14.880000114440918, '2022-07-15': 15.199999809265137, '2022-07-18': 15.1899995803833, '2022-07-19': 15.84000015258789, '2022-07-20': 16.010000228881836, '2022-07-21': 15.520000457763672, '2022-07-22': 15.109999656677246, '2022-07-25': 15.119999885559082}, '1_month_later': {'2022-08-11': 16.59000015258789}, '3_months_later': {'2022-10-11': 13.199999809265137}, '6_months_later': {'2023-01-11': 12.739999771118164}, '12_months_later': {'2023-07-11': 12.18000030517578}}
|
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.
|
HRTX
|
{'date': '2022-07-11', 'ticker': 'HRTX', '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': 3.150000095367432, 'high': 3.3299999237060547, 'open': 3.299999952316284, 'close': 3.180000066757202, 'ema_50': 3.5333354013070255, 'rsi_14': 59.19282597509178, 'target': 3.0899999141693115, 'volume': 2418600.0, 'ema_200': 6.8856811834885265, 'adj_close': 3.180000066757202, 'rsi_lag_1': 65.63876420638347, 'rsi_lag_2': 66.23376328486658, 'rsi_lag_3': 66.37930724411086, 'rsi_lag_4': 65.48672351647497, 'rsi_lag_5': 60.301507176457356, 'macd_lag_1': -0.035720247254996895, 'macd_lag_2': -0.06196963092560415, 'macd_lag_3': -0.09355383242272897, 'macd_lag_4': -0.11621508212549614, 'macd_lag_5': -0.12919411987041496, 'macd_12_26_9': -0.025117782953540058, 'macds_12_26_9': -0.10086753460163707}, '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': 3.0899999141693115, '2022-07-13': 3.009999990463257, '2022-07-14': 2.950000047683716, '2022-07-15': 2.940000057220459, '2022-07-18': 2.819999933242798, '2022-07-19': 3.150000095367432, '2022-07-20': 3.109999895095825, '2022-07-21': 3.0299999713897705, '2022-07-22': 2.7300000190734863, '2022-07-25': 2.6600000858306885}, '1_month_later': {'2022-08-11': 4.869999885559082}, '3_months_later': {'2022-10-11': 3.75}, '6_months_later': {'2023-01-11': 2.799999952316284}, '12_months_later': {'2023-07-11': 1.309999942779541}}
|
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.
|
HROW
|
{'date': '2022-07-11', 'ticker': 'HROW', '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': 7.0, 'high': 7.170000076293945, 'open': 7.079999923706055, 'close': 7.159999847412109, 'ema_50': 6.936322202286082, 'rsi_14': 63.436107431555, 'target': 7.039999961853027, 'volume': 36000.0, 'ema_200': 7.613684477299673, 'adj_close': 7.159999847412109, 'rsi_lag_1': 66.94559292062942, 'rsi_lag_2': 59.92509196076222, 'rsi_lag_3': 59.62264028721055, 'rsi_lag_4': 54.67127707967284, 'rsi_lag_5': 44.75920480900117, 'macd_lag_1': 0.09217307174970824, 'macd_lag_2': 0.08477280651497843, 'macd_lag_3': 0.07307611294355443, 'macd_lag_4': 0.07846577538999533, 'macd_lag_5': 0.08114905736274736, 'macd_12_26_9': 0.09372971482853298, 'macds_12_26_9': 0.074745679241367}, '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': 7.039999961853027, '2022-07-13': 7.0, '2022-07-14': 6.880000114440918, '2022-07-15': 7.300000190734863, '2022-07-18': 7.050000190734863, '2022-07-19': 7.21999979019165, '2022-07-20': 7.119999885559082, '2022-07-21': 7.199999809265137, '2022-07-22': 7.059999942779541, '2022-07-25': 6.75}, '1_month_later': {'2022-08-11': 8.539999961853027}, '3_months_later': {'2022-10-11': 12.170000076293944}, '6_months_later': {'2023-01-11': 14.109999656677246}, '12_months_later': {'2023-07-11': 18.40999984741211}}
|
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.
|
HLAL
|
{'date': '2022-07-11', 'ticker': 'HLAL', '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': 35.720001220703125, 'high': 36.0359992980957, 'open': 36.0099983215332, 'close': 35.75299835205078, 'ema_50': 36.96575002834271, 'rsi_14': 66.13906307953732, 'target': 35.38999938964844, 'volume': 5000.0, 'ema_200': 38.56115824013282, 'adj_close': 35.1843376159668, 'rsi_lag_1': 69.36761843301574, 'rsi_lag_2': 56.00000732422769, 'rsi_lag_3': 53.55515854429299, 'rsi_lag_4': 52.66782880460652, 'rsi_lag_5': 40.99722245264252, 'macd_lag_1': -0.39886404353694616, 'macd_lag_2': -0.4765261097190887, 'macd_lag_3': -0.5677018471304507, 'macd_lag_4': -0.6127923597458533, 'macd_lag_5': -0.6501290825823602, 'macd_12_26_9': -0.3715236131977875, 'macds_12_26_9': -0.5390634765231184}, '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': 35.38999938964844, '2022-07-13': 35.189998626708984, '2022-07-14': 35.27000045776367, '2022-07-15': 35.849998474121094, '2022-07-18': 35.529998779296875, '2022-07-19': 36.4010009765625, '2022-07-20': 36.7599983215332, '2022-07-21': 37.2599983215332, '2022-07-22': 36.90999984741211, '2022-07-25': 36.84000015258789}, '1_month_later': {'2022-08-11': 39.27000045776367}, '3_months_later': {'2022-10-11': 33.279998779296875}, '6_months_later': {'2023-01-11': 36.04999923706055}, '12_months_later': {'2023-07-11': 42.40999984741211}}
|
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.
|
HLF
|
{'date': '2022-07-11', 'ticker': 'HLF', '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': 19.299999237060547, 'high': 20.670000076293945, 'open': 20.489999771118164, 'close': 19.709999084472656, 'ema_50': 23.606859185923607, 'rsi_14': 28.925608668325992, 'target': 22.700000762939453, 'volume': 1354100.0, 'ema_200': 33.08504745300532, 'adj_close': 19.709999084472656, 'rsi_lag_1': 40.81871441567532, 'rsi_lag_2': 41.1071833357484, 'rsi_lag_3': 52.32300952640573, 'rsi_lag_4': 50.28835723165616, 'rsi_lag_5': 48.660715711207864, 'macd_lag_1': -0.5117783010292349, 'macd_lag_2': -0.4412360114372049, 'macd_lag_3': -0.40994399404667803, 'macd_lag_4': -0.43429577904068495, 'macd_lag_5': -0.4020423549328562, 'macd_12_26_9': -0.637795520985609, 'macds_12_26_9': -0.45727065859461924}, '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': 22.700000762939453, '2022-07-13': 23.39999961853028, '2022-07-14': 21.739999771118164, '2022-07-15': 22.84000015258789, '2022-07-18': 23.09000015258789, '2022-07-19': 23.780000686645508, '2022-07-20': 23.71999931335449, '2022-07-21': 23.71999931335449, '2022-07-22': 23.51000022888184, '2022-07-25': 23.3799991607666}, '1_month_later': {'2022-08-11': 28.850000381469727}, '3_months_later': {'2022-10-11': 20.6200008392334}, '6_months_later': {'2023-01-11': 16.5}, '12_months_later': {'2023-07-11': 12.390000343322754}}
|
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.
|
HNI
|
{'date': '2022-07-11', 'ticker': 'HNI', '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': 33.779998779296875, 'high': 34.34000015258789, 'open': 34.119998931884766, 'close': 34.0099983215332, 'ema_50': 36.02640527718172, 'rsi_14': 53.198126811014184, 'target': 34.41999816894531, 'volume': 98500.0, 'ema_200': 37.94418577246661, 'adj_close': 32.019893646240234, 'rsi_lag_1': 58.4474936218491, 'rsi_lag_2': 41.921399744048806, 'rsi_lag_3': 39.2114064866559, 'rsi_lag_4': 41.483214229040016, 'rsi_lag_5': 35.20085423384893, 'macd_lag_1': -0.636775198631284, 'macd_lag_2': -0.6303352664741269, 'macd_lag_3': -0.6241471204260733, 'macd_lag_4': -0.5806977358897143, 'macd_lag_5': -0.5860304036319164, 'macd_12_26_9': -0.656102530158563, 'macds_12_26_9': -0.590773813588576}, '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': 34.41999816894531, '2022-07-13': 34.41999816894531, '2022-07-14': 34.2599983215332, '2022-07-15': 34.369998931884766, '2022-07-18': 34.15999984741211, '2022-07-19': 35.83000183105469, '2022-07-20': 35.959999084472656, '2022-07-21': 36.04999923706055, '2022-07-22': 35.959999084472656, '2022-07-25': 36.040000915527344}, '1_month_later': {'2022-08-11': 35.04999923706055}, '3_months_later': {'2022-10-11': 27.729999542236328}, '6_months_later': {'2023-01-11': 30.450000762939453}, '12_months_later': {'2023-07-11': 27.6299991607666}}
|
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.
|
HNNA
|
{'date': '2022-07-11', 'ticker': 'HNNA', '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': 9.18000030517578, 'high': 9.880000114440918, 'open': 9.75, 'close': 9.579999923706056, 'ema_50': 10.180649132979367, 'rsi_14': 23.255801059022616, 'target': 9.25, 'volume': 45200.0, 'ema_200': 10.17879156667267, 'adj_close': 8.618550300598145, 'rsi_lag_1': 42.32558180797168, 'rsi_lag_2': 49.77779379009408, 'rsi_lag_3': 47.05883531481282, 'rsi_lag_4': 50.0, 'rsi_lag_5': 49.339212785792554, 'macd_lag_1': -0.05674496848716082, 'macd_lag_2': -0.011079213825134104, 'macd_lag_3': 0.03616798490878281, 'macd_lag_4': 0.0582737958917523, 'macd_lag_5': 0.0703685419012352, 'macd_12_26_9': -0.09825807538709874, 'macds_12_26_9': -1.940508313461974e-05}, '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': 9.25, '2022-07-13': 9.4399995803833, '2022-07-14': 9.420000076293944, '2022-07-15': 9.59000015258789, '2022-07-18': 9.989999771118164, '2022-07-19': 10.619999885559082, '2022-07-20': 10.460000038146973, '2022-07-21': 10.84000015258789, '2022-07-22': 10.229999542236328, '2022-07-25': 10.5}, '1_month_later': {'2022-08-11': 10.399999618530272}, '3_months_later': {'2022-10-11': 8.699999809265137}, '6_months_later': {'2023-01-11': 8.949999809265137}, '12_months_later': {'2023-07-11': 7.099999904632568}}
|
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.
|
HNRG
|
{'date': '2022-07-11', 'ticker': 'HNRG', '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': 5.835000038146973, 'high': 6.269999980926514, 'open': 6.050000190734863, 'close': 6.230000019073486, 'ema_50': 5.291247072007748, 'rsi_14': 51.38461416571795, 'target': 5.940000057220459, 'volume': 335500.0, 'ema_200': 3.916467741639662, 'adj_close': 6.230000019073486, 'rsi_lag_1': 50.236222128022895, 'rsi_lag_2': 48.4896657872092, 'rsi_lag_3': 46.268658722861005, 'rsi_lag_4': 42.67311028926888, 'rsi_lag_5': 43.874171544970196, 'macd_lag_1': 0.12296336894242366, 'macd_lag_2': 0.11079943027413641, 'macd_lag_3': 0.1079167250666151, 'macd_lag_4': 0.16274038995517603, 'macd_lag_5': 0.2446027211466717, 'macd_12_26_9': 0.15103524830997106, 'macds_12_26_9': 0.21241026743532926}, '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': 5.940000057220459, '2022-07-13': 6.25, '2022-07-14': 6.21999979019165, '2022-07-15': 6.409999847412109, '2022-07-18': 6.389999866485596, '2022-07-19': 6.480000019073486, '2022-07-20': 6.510000228881836, '2022-07-21': 6.039999961853027, '2022-07-22': 6.130000114440918, '2022-07-25': 6.75}, '1_month_later': {'2022-08-11': 7.099999904632568}, '3_months_later': {'2022-10-11': 6.460000038146973}, '6_months_later': {'2023-01-11': 9.779999732971191}, '12_months_later': {'2023-07-11': 9.239999771118164}}
|
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.
|
HNW
|
{'date': '2022-07-11', 'ticker': 'HNW', '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': 11.020000457763672, 'high': 11.06999969482422, 'open': 11.06999969482422, 'close': 11.039999961853027, 'ema_50': 11.612903227448685, 'rsi_14': 43.023259682293194, 'target': 11.06999969482422, 'volume': 18600.0, 'ema_200': 13.161227473891687, 'adj_close': 9.302391052246094, 'rsi_lag_1': 48.101282631658464, 'rsi_lag_2': 35.64358305407711, 'rsi_lag_3': 31.372598518252502, 'rsi_lag_4': 32.69232356336748, 'rsi_lag_5': 20.47245158790463, 'macd_lag_1': -0.18728006443307876, 'macd_lag_2': -0.20203053592048192, 'macd_lag_3': -0.21588256222555025, 'macd_lag_4': -0.22634995150661474, 'macd_lag_5': -0.23539957849910564, 'macd_12_26_9': -0.17997094177496464, 'macds_12_26_9': -0.20150779451022943}, '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': 11.06999969482422, '2022-07-13': 11.029999732971191, '2022-07-14': 10.960000038146973, '2022-07-15': 10.949999809265137, '2022-07-18': 10.859999656677246, '2022-07-19': 11.050000190734863, '2022-07-20': 10.90999984741211, '2022-07-21': 11.06999969482422, '2022-07-22': 10.989999771118164, '2022-07-25': 10.960000038146973}, '1_month_later': {'2022-08-11': 11.760000228881836}, '3_months_later': {'2022-10-11': 10.0600004196167}, '6_months_later': {'2023-01-11': 10.640000343322754}, '12_months_later': {'2023-07-11': 10.1899995803833}}
|
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.
|
HOFT
|
{'date': '2022-07-11', 'ticker': 'HOFT', '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': 15.979999542236328, 'high': 16.260000228881836, 'open': 16.030000686645508, 'close': 16.110000610351562, 'ema_50': 16.70427873850843, 'rsi_14': 60.686021474531486, 'target': 16.59000015258789, 'volume': 44600.0, 'ema_200': 21.087516706018757, 'adj_close': 15.021015167236328, 'rsi_lag_1': 63.72795739839646, 'rsi_lag_2': 55.11982738291261, 'rsi_lag_3': 47.05883241378581, 'rsi_lag_4': 50.54945262240515, 'rsi_lag_5': 38.79999900817852, 'macd_lag_1': -0.20043605056603475, 'macd_lag_2': -0.2341347117805217, 'macd_lag_3': -0.2829045136409736, 'macd_lag_4': -0.2952193781465393, 'macd_lag_5': -0.3158071752422824, 'macd_12_26_9': -0.1757383371798369, 'macds_12_26_9': -0.2498704126994903}, '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': 16.59000015258789, '2022-07-13': 16.299999237060547, '2022-07-14': 16.0, '2022-07-15': 16.200000762939453, '2022-07-18': 16.3700008392334, '2022-07-19': 16.420000076293945, '2022-07-20': 16.780000686645508, '2022-07-21': 16.780000686645508, '2022-07-22': 16.579999923706055, '2022-07-25': 16.729999542236328}, '1_month_later': {'2022-08-11': 16.309999465942383}, '3_months_later': {'2022-10-11': 13.18000030517578}, '6_months_later': {'2023-01-11': 20.040000915527344}, '12_months_later': {'2023-07-11': 19.920000076293945}}
|
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.
|
HOG
|
{'date': '2022-07-11', 'ticker': 'HOG', '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': 31.780000686645508, 'high': 32.54999923706055, 'open': 32.189998626708984, 'close': 31.86000061035156, 'ema_50': 33.924735814417964, 'rsi_14': 58.29458010784069, 'target': 32.310001373291016, 'volume': 551200.0, 'ema_200': 36.76033238849637, 'adj_close': 31.03726959228516, 'rsi_lag_1': 66.61419200739151, 'rsi_lag_2': 53.07401520231543, 'rsi_lag_3': 54.55650086097213, 'rsi_lag_4': 60.38881640088161, 'rsi_lag_5': 46.75186972013155, 'macd_lag_1': -0.5536749537144985, 'macd_lag_2': -0.6145989605517173, 'macd_lag_3': -0.7098930825902059, 'macd_lag_4': -0.7601065634256869, 'macd_lag_5': -0.862013809615398, 'macd_12_26_9': -0.5451028447685928, 'macds_12_26_9': -0.737760258640416}, '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': 32.310001373291016, '2022-07-13': 32.2400016784668, '2022-07-14': 31.40999984741211, '2022-07-15': 32.56999969482422, '2022-07-18': 33.0, '2022-07-19': 34.4900016784668, '2022-07-20': 35.279998779296875, '2022-07-21': 35.29999923706055, '2022-07-22': 34.61000061035156, '2022-07-25': 34.47999954223633}, '1_month_later': {'2022-08-11': 39.58000183105469}, '3_months_later': {'2022-10-11': 35.2599983215332}, '6_months_later': {'2023-01-11': 44.31999969482422}, '12_months_later': {'2023-07-11': 35.959999084472656}}
|
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.
|
HOLI
|
{'date': '2022-07-11', 'ticker': 'HOLI', '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': 15.119999885559082, 'high': 15.619999885559082, 'open': 15.199999809265137, 'close': 15.579999923706056, 'ema_50': 15.124385393833238, 'rsi_14': 67.56758933700547, 'target': 15.18000030517578, 'volume': 262600.0, 'ema_200': 15.340286024018166, 'adj_close': 15.579999923706056, 'rsi_lag_1': 59.31035457979585, 'rsi_lag_2': 48.11320669840187, 'rsi_lag_3': 50.0, 'rsi_lag_4': 61.311481971000156, 'rsi_lag_5': 46.92081783378138, 'macd_lag_1': -0.02845593999192353, 'macd_lag_2': -0.06181721313966371, 'macd_lag_3': -0.08415366066215313, 'macd_lag_4': -0.07173000803520324, 'macd_lag_5': -0.10268403956147942, 'macd_12_26_9': 0.020342254876423382, 'macds_12_26_9': -0.06205334851548345}, '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': 15.18000030517578, '2022-07-13': 15.300000190734863, '2022-07-14': 15.279999732971191, '2022-07-15': 15.31999969482422, '2022-07-18': 15.619999885559082, '2022-07-19': 15.380000114440918, '2022-07-20': 15.75, '2022-07-21': 15.640000343322754, '2022-07-22': 15.3100004196167, '2022-07-25': 15.579999923706056}, '1_month_later': {'2022-08-11': 15.100000381469728}, '3_months_later': {'2022-10-11': 15.6899995803833}, '6_months_later': {'2023-01-11': 18.57999992370605}, '12_months_later': {'2023-07-11': 17.600000381469727}}
|
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.
|
HOLX
|
{'date': '2022-07-11', 'ticker': 'HOLX', '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/hologic-holx-gains-as-market-dips%3A-what-you-should-know-3', 'news_author': None, 'news_article': 'Hologic (HOLX) closed the most recent trading day at $71.42, moving +0.06% from the previous trading session. The stock outpaced the S&P 500\'s daily loss of 1.15%. At the same time, the Dow lost 0.52%, and the tech-heavy Nasdaq lost 0.34%.\nHeading into today, shares of the medical device maker had lost 0.49% over the past month, lagging the Medical sector\'s gain of 0.72% and outpacing the S&P 500\'s loss of 5.08% in that time.\nWall Street will be looking for positivity from Hologic as it approaches its next earnings report date. This is expected to be July 27, 2022. The company is expected to report EPS of $0.69, down 48.12% from the prior-year quarter. Our most recent consensus estimate is calling for quarterly revenue of $896.2 million, down 23.29% from the year-ago period.\nHOLX\'s full-year Zacks Consensus Estimates are calling for earnings of $5.54 per share and revenue of $4.67 billion. These results would represent year-over-year changes of -34.13% and -17.14%, respectively.\nAny recent changes to analyst estimates for Hologic should also be noted by investors. These revisions typically reflect the latest short-term business trends, which can change frequently. As such, positive estimate revisions reflect analyst optimism about the company\'s business and profitability.\nOur research shows that these estimate changes are directly correlated with near-term stock prices. To benefit from this, we have developed the Zacks Rank, a proprietary model which takes these estimate changes into account and provides an actionable rating system.\nThe Zacks Rank system ranges from #1 (Strong Buy) to #5 (Strong Sell). It has a remarkable, outside-audited track record of success, with #1 stocks delivering an average annual return of +25% since 1988. The Zacks Consensus EPS estimate remained stagnant within the past month. Hologic is holding a Zacks Rank of #3 (Hold) right now.\nDigging into valuation, Hologic currently has a Forward P/E ratio of 12.88. This represents a discount compared to its industry\'s average Forward P/E of 29.54.\nWe can also see that HOLX currently has a PEG ratio of 0.89. This metric is used similarly to the famous P/E ratio, but the PEG ratio also takes into account the stock\'s expected earnings growth rate. HOLX\'s industry had an average PEG ratio of 1.98 as of yesterday\'s close.\nThe Medical - Instruments industry is part of the Medical sector. This group has a Zacks Industry Rank of 138, putting it in the bottom 46% of all 250+ industries.\nThe Zacks Industry Rank gauges the strength of our individual industry groups by measuring the average Zacks Rank of the individual stocks within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nMake sure to utilize Zacks.com to follow all of these stock-moving metrics, and more, in the coming trading sessions.\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 \nHologic, Inc. (HOLX): 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': "Hologic (HOLX) closed the most recent trading day at $71.42, moving +0.06% from the previous trading session. HOLX's full-year Zacks Consensus Estimates are calling for earnings of $5.54 per share and revenue of $4.67 billion. We can also see that HOLX currently has a PEG ratio of 0.89.", 'news_luhn_summary': "HOLX's full-year Zacks Consensus Estimates are calling for earnings of $5.54 per share and revenue of $4.67 billion. Hologic (HOLX) closed the most recent trading day at $71.42, moving +0.06% from the previous trading session. We can also see that HOLX currently has a PEG ratio of 0.89.", 'news_article_title': 'Hologic (HOLX) Gains As Market Dips: What You Should Know', 'news_lexrank_summary': "Hologic, Inc. (HOLX): Free Stock Analysis Report Hologic (HOLX) closed the most recent trading day at $71.42, moving +0.06% from the previous trading session. HOLX's full-year Zacks Consensus Estimates are calling for earnings of $5.54 per share and revenue of $4.67 billion.", 'news_textrank_summary': "Hologic (HOLX) closed the most recent trading day at $71.42, moving +0.06% from the previous trading session. HOLX's full-year Zacks Consensus Estimates are calling for earnings of $5.54 per share and revenue of $4.67 billion. We can also see that HOLX currently has a PEG ratio of 0.89."}], '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': 70.63999938964844, 'high': 71.66999816894531, 'open': 70.79000091552734, 'close': 71.41999816894531, 'ema_50': 72.3831106885054, 'rsi_14': 67.62951181683957, 'target': 70.68000030517578, 'volume': 696600.0, 'ema_200': 72.92045024849253, 'adj_close': 71.41999816894531, 'rsi_lag_1': 69.79555168570238, 'rsi_lag_2': 64.96542675534208, 'rsi_lag_3': 63.54636637948202, 'rsi_lag_4': 57.38740088638638, 'rsi_lag_5': 44.413186921595084, 'macd_lag_1': -0.7064672800150333, 'macd_lag_2': -0.8355933116338008, 'macd_lag_3': -1.0289784264565185, 'macd_lag_4': -1.169204676901387, 'macd_lag_5': -1.2609237331275978, 'macd_12_26_9': -0.5940582958270824, 'macds_12_26_9': -1.0115458636620605}, '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': 70.68000030517578, '2022-07-13': 70.3499984741211, '2022-07-14': 69.38999938964844, '2022-07-15': 70.58999633789062, '2022-07-18': 68.47000122070312, '2022-07-19': 70.48999786376953, '2022-07-20': 70.11000061035156, '2022-07-21': 71.88999938964844, '2022-07-22': 70.54000091552734, '2022-07-25': 70.26000213623047}, '1_month_later': {'2022-08-11': 72.06999969482422}, '3_months_later': {'2022-10-11': 61.95000076293945}, '6_months_later': {'2023-01-11': 81.08000183105469}, '12_months_later': {'2023-07-11': 79.08999633789062}}
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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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HOMZ
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{'date': '2022-07-11', 'ticker': 'HOMZ', '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': 33.255001068115234, 'high': 33.439998626708984, 'open': 33.310001373291016, 'close': 33.255001068115234, 'ema_50': 34.37973811919855, 'rsi_14': 73.60091805767404, 'target': 33.32899856567383, 'volume': 6100.0, 'ema_200': 37.78591508710341, 'adj_close': 32.112525939941406, 'rsi_lag_1': 78.73615714864086, 'rsi_lag_2': 60.62662720883186, 'rsi_lag_3': 59.92063925903809, 'rsi_lag_4': 58.69565456171068, 'rsi_lag_5': 43.71367409013977, 'macd_lag_1': -0.4005040969721918, 'macd_lag_2': -0.4952400937575163, 'macd_lag_3': -0.6099725821614186, 'macd_lag_4': -0.7075259258778601, 'macd_lag_5': -0.8359009012668608, 'macd_12_26_9': -0.3430155973841167, 'macds_12_26_9': -0.6424159810406772}, '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': 33.32899856567383, '2022-07-13': 33.395999908447266, '2022-07-14': 32.98500061035156, '2022-07-15': 33.49399948120117, '2022-07-18': 33.39400100708008, '2022-07-19': 34.20000076293945, '2022-07-20': 34.43000030517578, '2022-07-21': 34.847999572753906, '2022-07-22': 34.84000015258789, '2022-07-25': 34.66999816894531}, '1_month_later': {'2022-08-11': 36.88999938964844}, '3_months_later': {'2022-10-11': 30.46699905395508}, '6_months_later': {'2023-01-11': 34.31399917602539}, '12_months_later': {'2023-07-11': 39.24599838256836}}
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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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HONE
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{'date': '2022-07-11', 'ticker': 'HONE', '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': 13.93000030517578, 'high': 14.06999969482422, 'open': 13.989999771118164, 'close': 14.010000228881836, 'ema_50': 13.948140697682497, 'rsi_14': 60.10639566057477, 'target': 13.979999542236328, 'volume': 138400.0, 'ema_200': 14.027583524560148, 'adj_close': 13.497663497924805, 'rsi_lag_1': 62.50001192094028, 'rsi_lag_2': 57.339473019953225, 'rsi_lag_3': 59.19283144066559, 'rsi_lag_4': 59.45947223086159, 'rsi_lag_5': 59.82144985882201, 'macd_lag_1': 0.03913498056242659, 'macd_lag_2': 0.03870542070589167, 'macd_lag_3': 0.033521434799162364, 'macd_lag_4': 0.024380886046579064, 'macd_lag_5': 0.008286867543933596, 'macd_12_26_9': 0.0390255476230994, 'macds_12_26_9': 0.022346757784244622}, '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': 13.979999542236328, '2022-07-13': 13.90999984741211, '2022-07-14': 13.890000343322754, '2022-07-15': 14.119999885559082, '2022-07-18': 14.130000114440918, '2022-07-19': 14.43000030517578, '2022-07-20': 14.529999732971191, '2022-07-21': 14.329999923706056, '2022-07-22': 14.380000114440918, '2022-07-25': 14.390000343322754}, '1_month_later': {'2022-08-11': 14.520000457763672}, '3_months_later': {'2022-10-11': 13.779999732971191}, '6_months_later': {'2023-01-11': 13.920000076293944}, '12_months_later': {'2023-07-11': 9.079999923706056}}
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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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HOOK
|
{'date': '2022-07-11', 'ticker': 'HOOK', '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': 1.820000052452088, 'high': 1.8849999904632568, 'open': 1.870000004768372, 'close': 1.840000033378601, 'ema_50': 1.6936640677262813, 'rsi_14': 61.052633031913686, 'target': 1.75, 'volume': 205300.0, 'ema_200': 3.1337258334079143, 'adj_close': 1.840000033378601, 'rsi_lag_1': 62.3655915356796, 'rsi_lag_2': 58.51064234526761, 'rsi_lag_3': 61.00000143051147, 'rsi_lag_4': 50.99999904632568, 'rsi_lag_5': 39.7849438934469, 'macd_lag_1': 0.031153311101483006, 'macd_lag_2': 0.018587541126598328, 'macd_lag_3': 0.005333227574680466, 'macd_lag_4': -0.005552573266536021, 'macd_lag_5': -0.009184228301549968, 'macd_12_26_9': 0.038250103978331396, 'macds_12_26_9': 0.0187371393878039}, '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': 1.75, '2022-07-13': 1.7999999523162842, '2022-07-14': 1.590000033378601, '2022-07-15': 1.649999976158142, '2022-07-18': 1.5700000524520874, '2022-07-19': 1.5800000429153442, '2022-07-20': 1.590000033378601, '2022-07-21': 1.659999966621399, '2022-07-22': 1.5700000524520874, '2022-07-25': 1.5099999904632568}, '1_month_later': {'2022-08-11': 1.590000033378601}, '3_months_later': {'2022-10-11': 1.2400000095367432}, '6_months_later': {'2023-01-11': 0.949999988079071}, '12_months_later': {'2023-07-11': 0.8199999928474426}}
|
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.
|
HOPE
|
{'date': '2022-07-11', 'ticker': 'HOPE', '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': 13.850000381469728, 'high': 14.140000343322754, 'open': 13.960000038146973, 'close': 13.890000343322754, 'ema_50': 14.353170041097284, 'rsi_14': 54.72638090601896, 'target': 13.979999542236328, 'volume': 528500.0, 'ema_200': 14.81560454297473, 'adj_close': 12.85326099395752, 'rsi_lag_1': 62.10526051613848, 'rsi_lag_2': 46.3414586869228, 'rsi_lag_3': 48.425198919870354, 'rsi_lag_4': 56.38297116826769, 'rsi_lag_5': 54.4520585974064, 'macd_lag_1': -0.0779849528208203, 'macd_lag_2': -0.08979465345166737, 'macd_lag_3': -0.09948929845433696, 'macd_lag_4': -0.11143427885728663, 'macd_lag_5': -0.13320500202009988, 'macd_12_26_9': -0.0830002826383911, 'macds_12_26_9': -0.11412992492438509}, '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': 13.979999542236328, '2022-07-13': 13.68000030517578, '2022-07-14': 13.479999542236328, '2022-07-15': 13.960000038146973, '2022-07-18': 14.109999656677246, '2022-07-19': 14.449999809265137, '2022-07-20': 14.630000114440918, '2022-07-21': 14.470000267028809, '2022-07-22': 14.43000030517578, '2022-07-25': 14.770000457763672}, '1_month_later': {'2022-08-11': 15.270000457763672}, '3_months_later': {'2022-10-11': 13.09000015258789}, '6_months_later': {'2023-01-11': 12.65999984741211}, '12_months_later': {'2023-07-11': 8.65999984741211}}
|
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.
|
HOVNP
|
{'date': '2022-07-11', 'ticker': 'HOVNP', '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': 18.350000381469727, 'high': 18.350000381469727, 'open': 18.350000381469727, 'close': 18.350000381469727, 'ema_50': 19.18166572588271, 'rsi_14': 47.2527518593172, 'target': 18.75, 'volume': 200.0, 'ema_200': 19.24940915204575, 'adj_close': 15.694368362426758, 'rsi_lag_1': 55.20832505490255, 'rsi_lag_2': 44.08946874504882, 'rsi_lag_3': 42.331284395188796, 'rsi_lag_4': 38.76404795377783, 'rsi_lag_5': 31.43507863798719, 'macd_lag_1': -0.29211021066057796, 'macd_lag_2': -0.30781881984624704, 'macd_lag_3': -0.3020096277718842, 'macd_lag_4': -0.3115838439029588, 'macd_lag_5': -0.3192718965807586, 'macd_12_26_9': -0.28843978601712195, 'macds_12_26_9': -0.29979682584567685}, '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': 18.75, '2022-07-13': 18.75, '2022-07-14': 18.75, '2022-07-15': 17.969999313354492, '2022-07-18': 17.969999313354492, '2022-07-19': 18.5, '2022-07-20': 18.450000762939453, '2022-07-21': 18.25, '2022-07-22': 18.14999961853028, '2022-07-25': 18.5}, '1_month_later': {'2022-08-11': 20.5}, '3_months_later': {'2022-10-11': 19.14999961853028}, '6_months_later': {'2023-01-11': 19.190000534057617}, '12_months_later': {'2023-07-11': 18.549999237060547}}
|
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.
|
HP
|
{'date': '2022-07-11', 'ticker': 'HP', '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': 41.18999862670898, 'high': 42.77999877929688, 'open': 42.0, 'close': 41.63999938964844, 'ema_50': 44.42141875741285, 'rsi_14': 57.17234613547975, 'target': 39.18000030517578, 'volume': 548300.0, 'ema_200': 38.43522251066551, 'adj_close': 39.01939010620117, 'rsi_lag_1': 54.743082556980205, 'rsi_lag_2': 45.182107526004245, 'rsi_lag_3': 38.624573069757794, 'rsi_lag_4': 35.65216295208769, 'rsi_lag_5': 36.5418751804078, 'macd_lag_1': -1.4217149417428772, 'macd_lag_2': -1.5813077442246097, 'macd_lag_3': -1.6316782055841799, 'macd_lag_4': -1.5093264056858402, 'macd_lag_5': -1.346480061458756, 'macd_12_26_9': -1.387370565170258, 'macds_12_26_9': -1.4396006800434038}, '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': 39.18000030517578, '2022-07-13': 39.060001373291016, '2022-07-14': 38.310001373291016, '2022-07-15': 38.869998931884766, '2022-07-18': 41.810001373291016, '2022-07-19': 42.650001525878906, '2022-07-20': 42.86000061035156, '2022-07-21': 39.790000915527344, '2022-07-22': 39.400001525878906, '2022-07-25': 42.18999862670898}, '1_month_later': {'2022-08-11': 43.5099983215332}, '3_months_later': {'2022-10-11': 41.81999969482422}, '6_months_later': {'2023-01-11': 48.619998931884766}, '12_months_later': {'2023-07-11': 37.43999862670898}}
|
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.
|
HRL
|
{'date': '2022-07-11', 'ticker': 'HRL', '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': 47.59999847412109, 'high': 48.09000015258789, 'open': 47.61000061035156, 'close': 47.79999923706055, 'ema_50': 48.08518740117912, 'rsi_14': 72.11949609088421, 'target': 48.08000183105469, 'volume': 1275700.0, 'ema_200': 48.12582822188199, 'adj_close': 46.2083625793457, 'rsi_lag_1': 68.95563000610672, 'rsi_lag_2': 77.90319782144009, 'rsi_lag_3': 73.77048052630246, 'rsi_lag_4': 70.46629529949283, 'rsi_lag_5': 64.96815518765197, 'macd_lag_1': 0.010586932080158817, 'macd_lag_2': -0.007071752656351293, 'macd_lag_3': -0.11096226163667211, 'macd_lag_4': -0.20835053490045397, 'macd_lag_5': -0.2868589939331514, 'macd_12_26_9': 0.04424445508364272, 'macds_12_26_9': -0.2669018572761142}, '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': 48.08000183105469, '2022-07-13': 48.18999862670898, '2022-07-14': 48.09000015258789, '2022-07-15': 47.790000915527344, '2022-07-18': 47.369998931884766, '2022-07-19': 47.720001220703125, '2022-07-20': 47.220001220703125, '2022-07-21': 47.27999877929688, '2022-07-22': 47.59000015258789, '2022-07-25': 47.77000045776367}, '1_month_later': {'2022-08-11': 49.61000061035156}, '3_months_later': {'2022-10-11': 46.0}, '6_months_later': {'2023-01-11': 46.81999969482422}, '12_months_later': {'2023-07-11': 39.209999084472656}}
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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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HRI
|
{'date': '2022-07-11', 'ticker': 'HRI', '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': 89.16999816894531, 'high': 91.61000061035156, 'open': 91.61000061035156, 'close': 90.0, 'ema_50': 108.42447685712916, 'rsi_14': 52.79923234858326, 'target': 89.98999786376953, 'volume': 220900.0, 'ema_200': 130.89740132867055, 'adj_close': 87.3733901977539, 'rsi_lag_1': 51.725754983987315, 'rsi_lag_2': 33.71342332325723, 'rsi_lag_3': 29.49176043680886, 'rsi_lag_4': 29.55875061236847, 'rsi_lag_5': 23.913641032565423, 'macd_lag_1': -6.020404325261694, 'macd_lag_2': -6.454219786539056, 'macd_lag_3': -6.958846754253855, 'macd_lag_4': -7.315387217458763, 'macd_lag_5': -7.724129998546289, 'macd_12_26_9': -5.8129371937903045, 'macds_12_26_9': -6.774640294079757}, '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': 89.98999786376953, '2022-07-13': 90.88999938964844, '2022-07-14': 90.9000015258789, '2022-07-15': 92.04000091552734, '2022-07-18': 94.2300033569336, '2022-07-19': 101.19000244140624, '2022-07-20': 102.30999755859376, '2022-07-21': 102.8499984741211, '2022-07-22': 104.69000244140624, '2022-07-25': 102.95999908447266}, '1_month_later': {'2022-08-11': 126.45999908447266}, '3_months_later': {'2022-10-11': 108.52999877929688}, '6_months_later': {'2023-01-11': 144.0}, '12_months_later': {'2023-07-11': 144.39999389648438}}
|
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.
|
HRB
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{'date': '2022-07-11', 'ticker': 'HRB', '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-stocks-to-avoid-this-week-34', 'news_author': None, 'news_article': 'All but one of my "three stocks to avoid" column last week went according to plan, but it wasn\'t enough. The three stocks I thought were going to lose to the market for the week -- Coinbase (NASDAQ: COIN), H&R Block (NYSE: HRB), and WD-40 (NASDAQ: WDFC) -- finished up 23%, up 1%, and down 13%, respectively, averaging out to a 3.7% increase.\nThe S&P 500 experienced a 1.9% ascent, but the the investments I figured would fare rose nearly twice as much. I was wrong. But I have still been correct in 25 of the past 38 weeks.\nWhere do I go to next? I see Conagra (NYSE: CAG), Coinbase (NASDAQ: COIN), and ExxonMobil (NYSE: XOM) as stocks you may want to consider steering clear of this week. Let\'s go over my near-term concerns with all three investments.\nImage source: Getty Images.\nConagra\nThere\'s a good chance that there\'s some Conagra in your kitchen. Scour your fridge or pantry, and you may find some Slim Jim beef jerky, Pam non-stick spray, Hunt\'s ketchup, or Log Cabin maple syrup. There are dozens of Conagra brands that are literally and figuratively household names. I\'m still con Conagra this week.\nThe brand giant reports financial results on Thursday morning. It hasn\'t been very impressive lately. It has failed to exceed analyst profit targets in back-to-back quarters, and Wall Street expectations have been trending lower in recent months. Being a haven for premium brands isn\'t a lot of fun when the economy\'s wobbly and folks are trading down to lower-margin store brands. Wall Street sees revenue at Conagra climbing just 3% this year as well as 2023. It\'s hard to get excited about this week\'s financial update with that backdrop.\nCoinbase\nThe one stock that burned me last week was Coinbase. It soared 23%, more than offsetting the other two selections that failed to beat the market. But I\'m not sure the rally is sustainable. Crypto markets have bounced back, but confidence is rattled for digital currency traders. A couple of notable platforms have either frozen assets or filed for bankruptcy protection.\nRecovery won\'t be easy, and you can be sure that the once beefy yields that folks were earning on some of these platforms aren\'t coming back anytime soon. Coinbase is the top dog, and it will survive the current crisis. It has a strong balance sheet, and it didn\'t go deep into the risk spectrum to deliver staking rewards for its users.\nHowever, Coinbase was reeling even before lesser platforms were exposed. Retail trading volume plummeted 58% sequentially in this year\'s first quarter, and the second quarter that concluded last week probably isn\'t going to hold up much better. Crypto prices may be starting to stabilize now that stock prices are also showing some resiliency, but a lot of scorched investors are going to stay away for now.\nExxonMobil\nStocks were rallying last week, but one of the hottest industries of 2022 took a breather. Oil and gas stocks declined as energy costs inched lower. Will the sector rotation continue in the week ahead?\nYou don\'t want to bet against ExxonMobil over the long haul. The integrated oil major has more going for it than just the recent pain at the pump. However, sector rotation makes hot industries mortal during the shift. Did you realize that ExxonMobil\'s surge over the past year has dropped its once meteoric yield to just 4.1%? If stocks continue to rally it\'s a safe bet that ExxonMobil will be a laggard for now.\nIt\'s going to be a bumpy road for some of these investments. If you\'re looking for safe stocks, you aren\'t likely to find them in Conagra, Coinbase, and ExxonMobil this week.\n10 stocks we like better than Conagra Brands\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 Conagra Brands 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 no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Coinbase Global, 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': "The three stocks I thought were going to lose to the market for the week -- Coinbase (NASDAQ: COIN), H&R Block (NYSE: HRB), and WD-40 (NASDAQ: WDFC) -- finished up 23%, up 1%, and down 13%, respectively, averaging out to a 3.7% increase. Scour your fridge or pantry, and you may find some Slim Jim beef jerky, Pam non-stick spray, Hunt's ketchup, or Log Cabin maple syrup. It has failed to exceed analyst profit targets in back-to-back quarters, and Wall Street expectations have been trending lower in recent months.", 'news_luhn_summary': "The three stocks I thought were going to lose to the market for the week -- Coinbase (NASDAQ: COIN), H&R Block (NYSE: HRB), and WD-40 (NASDAQ: WDFC) -- finished up 23%, up 1%, and down 13%, respectively, averaging out to a 3.7% increase. I see Conagra (NYSE: CAG), Coinbase (NASDAQ: COIN), and ExxonMobil (NYSE: XOM) as stocks you may want to consider steering clear of this week. If stocks continue to rally it's a safe bet that ExxonMobil will be a laggard for now.", 'news_article_title': '3 Stocks to Avoid This Week', 'news_lexrank_summary': "The three stocks I thought were going to lose to the market for the week -- Coinbase (NASDAQ: COIN), H&R Block (NYSE: HRB), and WD-40 (NASDAQ: WDFC) -- finished up 23%, up 1%, and down 13%, respectively, averaging out to a 3.7% increase. Coinbase The one stock that burned me last week was Coinbase. If you're looking for safe stocks, you aren't likely to find them in Conagra, Coinbase, and ExxonMobil this week.", 'news_textrank_summary': "The three stocks I thought were going to lose to the market for the week -- Coinbase (NASDAQ: COIN), H&R Block (NYSE: HRB), and WD-40 (NASDAQ: WDFC) -- finished up 23%, up 1%, and down 13%, respectively, averaging out to a 3.7% increase. I see Conagra (NYSE: CAG), Coinbase (NASDAQ: COIN), and ExxonMobil (NYSE: XOM) as stocks you may want to consider steering clear of this week. If you're looking for safe stocks, you aren't likely to find them in Conagra, Coinbase, and ExxonMobil this week."}, {'news_url': 'https://www.nasdaq.com/articles/zacks.com-featured-highlights-include-ulta-beauty-hr-block-broadcom-and-carlisle', 'news_author': None, 'news_article': 'For Immediate Release\nChicago, IL – July 11, 2022 – Stocks in this week’s article are Ulta Beauty ULTA, H&R Block HRB, Broadcom AVGO and Carlisle Companies CSL.\n4 GARP Stocks to Scoop Up for Maximum Returns\nGrowth at a reasonable price, or GARP, is an excellent strategy to earn quick profits out of investments. The GARP approach leads to the identification of stocks that are priced below the market or any reasonable target determined by fundamental analysis.\nFurther, the strategy helps investors in gaining exposure to stocks that have impressive prospects and are trading at a discount. GARP stocks also have solid prospects in terms of cash flow, revenues, earnings per share (EPS) and so on.\nThat means a portfolio created on the basis of GARP strategy is expected to have stocks that offer the best of both value and growth investing.\nGARP Metrics – Mix of Growth & Value Metrics\nThe GARP strategy seeks to offer an ideal investment by utilizing the best features of both value and growth investing. Investors adopting the GARP approach will prefer to buy stocks that are priced below the market or any reasonable target determined by fundamental analysis. These stocks also have solid prospects in cash flow, revenues, earnings per share (EPS), and so on.\nGrowth Metrics\nBoth strong earnings growth history and impressive earnings prospects are the main concepts that GARP investors borrow from the growth investing strategy. However, instead of super-normal growth rates, pursuing stocks with a more stable and reasonable growth rate is also a tactic of GARP investors. Hence, growth rates between 10% and 20% are considered ideal under the GARP strategy.\nAnother growth metric that is considered by both growth and GARP investors is return on equity (ROE). GARP investors look for strong and higher ROE compared to the industry average to identify superior stocks. Moreover, stocks with positive cash flow find precedence under the GARP plan.\nValue Metrics\nGARP investing gives priority to one of the popular value metrics – the price-to-earnings (P/E) ratio. Though this investing style picks stocks with higher P/E ratios compared to value investors, it avoids companies with extremely high P/E ratios. Moreover, the price-to-book value (P/B) ratio is also considered.\nUsing the GARP principle, we have run a screen to identify stocks that should offer solid returns in the near term.\nHere are four of the six stocks that made it through the screen:\nUlta Beauty is a leading beauty retailer in the United States, which offers a wide range of products, including cosmetics, fragrance, skincare, hair care, bath and body products, and salon-styling tools in stores. ULTA currently sports a Zacks Rank #1. You can see the complete list of today\'s Zacks #1 Rank stocks here.\nUlta Beauty has a trailing four-quarter earnings surprise of 49.84%, on average. The Zacks Consensus Estimate for fiscal 2023 earnings has moved 0.05% north to $20.08 per share over the past 30 days.\nH&R Block is a provider of tax preparation services, such as assisted income tax return preparation, do-it-yourself tax solutions, and other products and services associated with income tax return preparation. HRB flaunts a Zacks Rank of 1 at present.\nH&R Block has a trailing four-quarter earnings surprise of 21.04%, on average. The Zacks Consensus Estimate for HRB\'s fiscal 2022 earnings has moved 1.8% north to $3.44 per share over the past 30 days.\nBroadcom is a designer, developer and global supplier of a broad range of semiconductor devices focused on complex digital and mixed-signal complementary metal oxide semiconductor-based devices and analog III-V based products. AVGO flaunts a Zacks Rank #1, currently.\nBroadcom has a trailing four-quarter earnings surprise of 2.19%, on average. The Zacks Consensus Estimate for fiscal 2022 earnings has moved 0.2% north to $37.03 per share over the past 30 days.\nCarlisle Companies is engaged in designing, manufacturing and selling a wide range of roofing and waterproofing products, engineered products and finishing equipment. CSL flaunts a Zacks Rank of 1, currently.\nCarlisle has a trailing four-quarter earnings surprise of 23.01%, on average. The Zacks Consensus Estimate for CSL\'s 2022 earnings has been stable at $17.64 per share over the past 30 days.\nGet the remaining stocks on the list and start putting this and other ideas to the test. It can all be done with the Research Wizard stock picking and back testing software.\nThe Research Wizard is a great place to begin. It\'s easy to use. Everything is in plain language. And it\'s very intuitive. Start your Research Wizard trial today. And the next time you read an economic report, open up the Research Wizard, plug your finds in, and see what gems come out.\nClick here to sign up for a free trial to the Research Wizard today.\nFor the rest of this Screen of the Week article please visit Zacks.com at: https://www.zacks.com/stock/news/1949770/4-garp-stocks-to-scoop-up-for-maximum-returns\nDisclosure: Officers, directors and/or employees of Zacks Investment Research may own or have sold short securities and/or hold long and/or short positions in options that are mentioned in this material. An affiliated investment advisory firm may own or have sold short securities and/or hold long and/or short positions in options that are mentioned in this material.\nAbout Screen of the Week\nZacks.com created the first and best screening system on the web earning the distinction as the "#1 site for screening stocks" by Money Magazine. But powerful screening tools is just the start. That is why Zacks created the Screen of the Week to highlight profitable stock picking strategies that investors can actively use.\nStrong Stocks that Should Be in the News\nMany are little publicized and fly under the Wall Street radar. They\'re virtually unknown to the general public. Yet today\'s 220 Zacks Rank #1 "Strong Buys" were generated by the stock-picking system that has more than doubled the market from 1988 through 2016. Its average gain has been a stellar +25% per year. See these high-potential stocks free >>.\nFollow us on Twitter: https://www.twitter.com/zacksresearch\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.\nContact: Jim Giaquinto\nCompany: Zacks.com\nPhone: 312-265-9268\nEmail: [email protected]\nVisit: https://www.zacks.com/\nZacks.com provides investment resources and informs you of these resources, which you may choose to use in making your own investment decisions. Zacks is providing information on this resource to you subject to the Zacks "Terms and Conditions of Service" disclaimer. www.zacks.com/disclaimer.\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/performancefor 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 \nUlta Beauty Inc. (ULTA): Free Stock Analysis Report\n \nH&R Block, Inc. (HRB): Free Stock Analysis Report\n \nBroadcom Inc. (AVGO): Free Stock Analysis Report\n \nCarlisle Companies Incorporated (CSL): 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': "For Immediate Release Chicago, IL – July 11, 2022 – Stocks in this week’s article are Ulta Beauty ULTA, H&R Block HRB, Broadcom AVGO and Carlisle Companies CSL. HRB flaunts a Zacks Rank of 1 at present. The Zacks Consensus Estimate for HRB's fiscal 2022 earnings has moved 1.8% north to $3.44 per share over the past 30 days.", 'news_luhn_summary': "For Immediate Release Chicago, IL – July 11, 2022 – Stocks in this week’s article are Ulta Beauty ULTA, H&R Block HRB, Broadcom AVGO and Carlisle Companies CSL. HRB flaunts a Zacks Rank of 1 at present. The Zacks Consensus Estimate for HRB's fiscal 2022 earnings has moved 1.8% north to $3.44 per share over the past 30 days.", 'news_article_title': 'Zacks.com featured highlights include Ulta Beauty, H&R Block, Broadcom and Carlisle', 'news_lexrank_summary': 'H&R Block, Inc. (HRB): Free Stock Analysis Report For Immediate Release Chicago, IL – July 11, 2022 – Stocks in this week’s article are Ulta Beauty ULTA, H&R Block HRB, Broadcom AVGO and Carlisle Companies CSL. HRB flaunts a Zacks Rank of 1 at present.', 'news_textrank_summary': "For Immediate Release Chicago, IL – July 11, 2022 – Stocks in this week’s article are Ulta Beauty ULTA, H&R Block HRB, Broadcom AVGO and Carlisle Companies CSL. HRB flaunts a Zacks Rank of 1 at present. The Zacks Consensus Estimate for HRB's fiscal 2022 earnings has moved 1.8% north to $3.44 per share over the past 30 days."}], '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': 36.77000045776367, 'high': 37.34999847412109, 'open': 37.0, 'close': 36.93000030517578, 'ema_50': 33.287897921636095, 'rsi_14': 72.40595911265767, 'target': 36.77999877929688, 'volume': 1392000.0, 'ema_200': 27.95682033471691, 'adj_close': 35.27069854736328, 'rsi_lag_1': 72.98853397057856, 'rsi_lag_2': 64.07881359678203, 'rsi_lag_3': 63.636371617744985, 'rsi_lag_4': 65.42672250985498, 'rsi_lag_5': 56.203006440528725, 'macd_lag_1': 0.9822868286505297, 'macd_lag_2': 0.9174587002328707, 'macd_lag_3': 0.9048604587039435, 'macd_lag_4': 0.8450735377978944, 'macd_lag_5': 0.7829442636659607, 'macd_12_26_9': 0.9947614261656099, 'macds_12_26_9': 0.9007281112733495}, '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': 36.77999877929688, '2022-07-13': 37.06999969482422, '2022-07-14': 36.7599983215332, '2022-07-15': 37.40999984741211, '2022-07-18': 36.7400016784668, '2022-07-19': 38.060001373291016, '2022-07-20': 37.70000076293945, '2022-07-21': 37.709999084472656, '2022-07-22': 37.95000076293945, '2022-07-25': 38.63999938964844}, '1_month_later': {'2022-08-11': 44.790000915527344}, '3_months_later': {'2022-10-11': 38.709999084472656}, '6_months_later': {'2023-01-11': 37.790000915527344}, '12_months_later': {'2023-07-11': 32.099998474121094}}
|
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.
|
HR
|
{'date': '2022-07-11', 'ticker': 'HR', '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/ex-dividend-reminder%3A-accenture-pennymac-mortgage-investment-trust-and-healthcare-realty', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel, on 7/13/22, Accenture plc (Symbol: ACN), Pennymac Mortgage Investment Trust (Symbol: PMT), and Healthcare Realty Trust, Inc. (Symbol: HR) will all trade ex-dividend for their respective upcoming dividends. Accenture plc will pay its quarterly dividend of $0.97 on 8/15/22, Pennymac Mortgage Investment Trust will pay its quarterly dividend of $0.47 on 7/28/22, and Healthcare Realty Trust, Inc. will pay its quarterly dividend of $0.201 on 7/19/22. As a percentage of ACN's recent stock price of $277.80, this dividend works out to approximately 0.35%, so look for shares of Accenture plc to trade 0.35% lower — all else being equal — when ACN shares open for trading on 7/13/22. Similarly, investors should look for PMT to open 3.12% lower in price and for HR to open 0.78% lower, all else being equal.\nBelow are dividend history charts for ACN, PMT, and HR, showing historical dividends prior to the most recent ones declared.\nAccenture plc (Symbol: ACN):\nPennymac Mortgage Investment Trust (Symbol: PMT):\nHealthcare Realty Trust, Inc. (Symbol: HR):\nIn general, dividends are not always predictable, following the ups and downs of company profits over time. Therefore, a good first due diligence step in forming an expectation of annual yield going forward, is looking at the history above, for a sense of stability over time. This can help in judging whether the most recent dividends from these companies are likely to continue. If they do continue, the current estimated yields on annualized basis would be 1.40% for Accenture plc, 12.48% for Pennymac Mortgage Investment Trust, and 3.12% for Healthcare Realty Trust, Inc..\nFree Report: Top 7%+ Dividends (paid monthly)\nIn Monday trading, Accenture plc shares are currently down about 0.5%, Pennymac Mortgage Investment Trust shares are up about 0.7%, and Healthcare Realty Trust, Inc. shares are down about 0.1% on the day.\nClick here to learn which 25 S.A.F.E. dividend stocks should be on your radar screen »\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 the universe of stocks we cover at Dividend Channel, on 7/13/22, Accenture plc (Symbol: ACN), Pennymac Mortgage Investment Trust (Symbol: PMT), and Healthcare Realty Trust, Inc. (Symbol: HR) will all trade ex-dividend for their respective upcoming dividends. Similarly, investors should look for PMT to open 3.12% lower in price and for HR to open 0.78% lower, all else being equal. Below are dividend history charts for ACN, PMT, and HR, showing historical dividends prior to the most recent ones declared.', 'news_luhn_summary': 'Looking at the universe of stocks we cover at Dividend Channel, on 7/13/22, Accenture plc (Symbol: ACN), Pennymac Mortgage Investment Trust (Symbol: PMT), and Healthcare Realty Trust, Inc. (Symbol: HR) will all trade ex-dividend for their respective upcoming dividends. Accenture plc (Symbol: ACN): Pennymac Mortgage Investment Trust (Symbol: PMT): Healthcare Realty Trust, Inc. (Symbol: HR): In general, dividends are not always predictable, following the ups and downs of company profits over time. Similarly, investors should look for PMT to open 3.12% lower in price and for HR to open 0.78% lower, all else being equal.', 'news_article_title': 'Ex-Dividend Reminder: Accenture, Pennymac Mortgage Investment Trust and Healthcare Realty Trust', 'news_lexrank_summary': 'Looking at the universe of stocks we cover at Dividend Channel, on 7/13/22, Accenture plc (Symbol: ACN), Pennymac Mortgage Investment Trust (Symbol: PMT), and Healthcare Realty Trust, Inc. (Symbol: HR) will all trade ex-dividend for their respective upcoming dividends. Similarly, investors should look for PMT to open 3.12% lower in price and for HR to open 0.78% lower, all else being equal. Below are dividend history charts for ACN, PMT, and HR, showing historical dividends prior to the most recent ones declared.', 'news_textrank_summary': 'Looking at the universe of stocks we cover at Dividend Channel, on 7/13/22, Accenture plc (Symbol: ACN), Pennymac Mortgage Investment Trust (Symbol: PMT), and Healthcare Realty Trust, Inc. (Symbol: HR) will all trade ex-dividend for their respective upcoming dividends. Similarly, investors should look for PMT to open 3.12% lower in price and for HR to open 0.78% lower, all else being equal. Below are dividend history charts for ACN, PMT, and HR, showing historical dividends prior to the most recent ones declared.'}], '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': 25.309999465942383, 'high': 25.8700008392334, 'open': 25.8700008392334, 'close': 25.5, 'ema_50': 27.369727358502807, 'rsi_14': 38.08724966453389, 'target': 25.18000030517578, 'volume': 5423600.0, 'ema_200': 29.01064165359695, 'adj_close': 18.53734588623047, 'rsi_lag_1': 37.77037688687807, 'rsi_lag_2': 52.60274595380981, 'rsi_lag_3': 57.74473021309828, 'rsi_lag_4': 59.59078853464473, 'rsi_lag_5': 60.12902530348978, 'macd_lag_1': -0.34704607366904483, 'macd_lag_2': -0.28982367285978583, 'macd_lag_3': -0.2410806250437325, 'macd_lag_4': -0.18045097542222877, 'macd_lag_5': -0.1350589512535869, 'macd_12_26_9': -0.4134505391475294, 'macds_12_26_9': -0.3272659540660881}, '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': 25.18000030517578, '2022-07-13': 24.979999542236328, '2022-07-14': 24.600000381469727, '2022-07-15': 24.6299991607666, '2022-07-18': 24.420000076293945, '2022-07-19': 24.40999984741211, '2022-07-20': 24.290000915527344, '2022-07-21': 24.51000022888184, '2022-07-22': 24.36000061035156, '2022-07-25': 24.38999938964844}, '1_month_later': {'2022-08-11': 26.06999969482422}, '3_months_later': {'2022-10-11': 19.450000762939453}, '6_months_later': {'2023-01-11': 20.940000534057617}, '12_months_later': {'2023-07-11': 18.959999084472656}}
|
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.
|
HQY
|
{'date': '2022-07-11', 'ticker': 'HQY', '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': 61.52000045776367, 'high': 64.87999725341797, 'open': 64.87999725341797, 'close': 61.84999847412109, 'ema_50': 63.02255899452233, 'rsi_14': 35.78723800748848, 'target': 58.75, 'volume': 680700.0, 'ema_200': 61.641227272827244, 'adj_close': 61.84999847412109, 'rsi_lag_1': 44.22700506735068, 'rsi_lag_2': 34.00901007329115, 'rsi_lag_3': 27.22832620464574, 'rsi_lag_4': 33.92462547667854, 'rsi_lag_5': 31.729644887778804, 'macd_lag_1': -0.3445136730548981, 'macd_lag_2': -0.606483594086157, 'macd_lag_3': -0.6265763501066104, 'macd_lag_4': -0.48223526171832276, 'macd_lag_5': -0.07411676656607824, 'macd_12_26_9': -0.42969967129866404, 'macds_12_26_9': -0.013224070574650634}, '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': 58.75, '2022-07-13': 59.4900016784668, '2022-07-14': 57.04999923706055, '2022-07-15': 58.9900016784668, '2022-07-18': 58.43999862670898, '2022-07-19': 59.900001525878906, '2022-07-20': 58.97999954223633, '2022-07-21': 58.31999969482422, '2022-07-22': 56.95000076293945, '2022-07-25': 58.95000076293945}, '1_month_later': {'2022-08-11': 60.56999969482422}, '3_months_later': {'2022-10-11': 67.98999786376953}, '6_months_later': {'2023-01-11': 56.709999084472656}, '12_months_later': {'2023-07-11': 67.02999877929688}}
|
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.
|
HQL
|
{'date': '2022-07-11', 'ticker': 'HQL', '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': 14.949999809265137, 'high': 15.25, 'open': 15.079999923706056, 'close': 14.949999809265137, 'ema_50': 14.741465004082642, 'rsi_14': 77.6514923003508, 'target': 15.06999969482422, 'volume': 68900.0, 'ema_200': 16.87893299855564, 'adj_close': 13.040772438049316, 'rsi_lag_1': 88.04345572604967, 'rsi_lag_2': 77.12417546970762, 'rsi_lag_3': 76.43096799798862, 'rsi_lag_4': 73.82546942020169, 'rsi_lag_5': 60.2446420749138, 'macd_lag_1': 0.13636875678486327, 'macd_lag_2': 0.08440780451008223, 'macd_lag_3': 0.023986226286771384, 'macd_lag_4': -0.018864372218930114, 'macd_lag_5': -0.06615558832316637, 'macd_12_26_9': 0.1547840856729934, 'macds_12_26_9': -0.00022360643401027856}, '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': 15.06999969482422, '2022-07-13': 15.18000030517578, '2022-07-14': 14.869999885559082, '2022-07-15': 15.130000114440918, '2022-07-18': 14.739999771118164, '2022-07-19': 15.25, '2022-07-20': 15.260000228881836, '2022-07-21': 15.31999969482422, '2022-07-22': 15.029999732971191, '2022-07-25': 14.93000030517578}, '1_month_later': {'2022-08-11': 15.84000015258789}, '3_months_later': {'2022-10-11': 13.699999809265137}, '6_months_later': {'2023-01-11': 14.68000030517578}, '12_months_later': {'2023-07-11': 13.5}}
|
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.
|
HRTG
|
{'date': '2022-07-11', 'ticker': 'HRTG', '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': 2.640000104904175, 'high': 2.799999952316284, 'open': 2.799999952316284, 'close': 2.640000104904175, 'ema_50': 3.6026621323621524, 'rsi_14': 30.65693710118188, 'target': 2.5899999141693115, 'volume': 108100.0, 'ema_200': 5.4744803121074135, 'adj_close': 2.640000104904175, 'rsi_lag_1': 33.87096712169999, 'rsi_lag_2': 31.11111346586226, 'rsi_lag_3': 20.51281999031653, 'rsi_lag_4': 12.096764890012096, 'rsi_lag_5': 9.448811802285263, 'macd_lag_1': -0.2683213109384046, 'macd_lag_2': -0.28409125022326753, 'macd_lag_3': -0.311287204501439, 'macd_lag_4': -0.31805313395443946, 'macd_lag_5': -0.3128990409716179, 'macd_12_26_9': -0.2672671133497735, 'macds_12_26_9': -0.2771138663705729}, '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': 2.5899999141693115, '2022-07-13': 2.509999990463257, '2022-07-14': 2.430000066757202, '2022-07-15': 2.450000047683716, '2022-07-18': 2.4100000858306885, '2022-07-19': 2.5299999713897705, '2022-07-20': 2.5199999809265137, '2022-07-21': 2.509999990463257, '2022-07-22': 2.440000057220459, '2022-07-25': 2.440000057220459}, '1_month_later': {'2022-08-11': 3.0999999046325684}, '3_months_later': {'2022-10-11': 1.6200000047683716}, '6_months_later': {'2023-01-11': 2.190000057220459}, '12_months_later': {'2023-07-11': 4.079999923706055}}
|
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.
|
HQI
|
{'date': '2022-07-11', 'ticker': 'HQI', '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': 14.06999969482422, 'high': 14.619999885559082, 'open': 14.619999885559082, 'close': 14.1899995803833, 'ema_50': 14.770699115187336, 'rsi_14': 70.29913989993756, 'target': 14.039999961853027, 'volume': 5400.0, 'ema_200': 16.83277817459265, 'adj_close': 13.904449462890623, 'rsi_lag_1': 82.12560675809654, 'rsi_lag_2': 65.79476772366542, 'rsi_lag_3': 57.142860441627484, 'rsi_lag_4': 49.064447374421306, 'rsi_lag_5': 42.75362080972832, 'macd_lag_1': -0.08955436643657677, 'macd_lag_2': -0.17712107140169486, 'macd_lag_3': -0.27307534759371244, 'macd_lag_4': -0.2989213615045596, 'macd_lag_5': -0.3428350151610573, 'macd_12_26_9': -0.07177930857496762, 'macds_12_26_9': -0.2726844967169322}, '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': 14.039999961853027, '2022-07-13': 13.800000190734863, '2022-07-14': 13.640000343322754, '2022-07-15': 14.039999961853027, '2022-07-18': 15.15999984741211, '2022-07-19': 15.550000190734863, '2022-07-20': 15.359999656677246, '2022-07-21': 15.1899995803833, '2022-07-22': 15.039999961853027, '2022-07-25': 14.619999885559082}, '1_month_later': {'2022-08-11': 15.43000030517578}, '3_months_later': {'2022-10-11': 13.15999984741211}, '6_months_later': {'2023-01-11': 18.68000030517578}, '12_months_later': {'2023-07-11': 25.59000015258789}}
|
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.
|
HPS
|
{'date': '2022-07-11', 'ticker': 'HPS', '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': 15.760000228881836, 'high': 15.880000114440918, 'open': 15.850000381469728, 'close': 15.859999656677246, 'ema_50': 16.307651036158052, 'rsi_14': 72.56100326692106, 'target': 15.779999732971191, 'volume': 15200.0, 'ema_200': 17.31306344388357, 'adj_close': 13.925962448120115, 'rsi_lag_1': 72.89160156586624, 'rsi_lag_2': 50.41665656698514, 'rsi_lag_3': 51.02881078350845, 'rsi_lag_4': 45.75646457679369, 'rsi_lag_5': 34.19354719624489, 'macd_lag_1': -0.1742809987285856, 'macd_lag_2': -0.18440582154041785, 'macd_lag_3': -0.2099191991390974, 'macd_lag_4': -0.23841206835645323, 'macd_lag_5': -0.28149327853877004, 'macd_12_26_9': -0.16196919590419334, 'macds_12_26_9': -0.2251095661458327}, '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': 15.779999732971191, '2022-07-13': 15.5, '2022-07-14': 15.539999961853027, '2022-07-15': 15.609999656677246, '2022-07-18': 15.550000190734863, '2022-07-19': 15.760000228881836, '2022-07-20': 15.960000038146973, '2022-07-21': 16.149999618530273, '2022-07-22': 16.1299991607666, '2022-07-25': 16.25}, '1_month_later': {'2022-08-11': 17.200000762939453}, '3_months_later': {'2022-10-11': 14.949999809265137}, '6_months_later': {'2023-01-11': 15.5}, '12_months_later': {'2023-07-11': 14.18000030517578}}
|
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.
|
HPQ
|
{'date': '2022-07-11', 'ticker': 'HPQ', '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': 31.280000686645508, 'high': 31.82999992370605, 'open': 31.559999465942383, 'close': 31.39999961853028, 'ema_50': 35.077626888955386, 'rsi_14': 37.71429057218488, 'target': 31.32999992370605, 'volume': 5855500.0, 'ema_200': 34.68335486005132, 'adj_close': 29.75223731994629, 'rsi_lag_1': 46.62163061964337, 'rsi_lag_2': 37.17073818844341, 'rsi_lag_3': 37.475729917241445, 'rsi_lag_4': 38.83300949337819, 'rsi_lag_5': 34.6810503271026, 'macd_lag_1': -1.2779994364361045, 'macd_lag_2': -1.3019728654508569, 'macd_lag_3': -1.280033899118493, 'macd_lag_4': -1.171303972322221, 'macd_lag_5': -1.0531607116085908, 'macd_12_26_9': -1.301290994972284, 'macds_12_26_9': -1.1364096785009472}, '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': 31.32999992370605, '2022-07-13': 31.059999465942383, '2022-07-14': 31.18000030517578, '2022-07-15': 31.65999984741211, '2022-07-18': 31.5, '2022-07-19': 32.83000183105469, '2022-07-20': 32.939998626708984, '2022-07-21': 33.459999084472656, '2022-07-22': 32.470001220703125, '2022-07-25': 32.599998474121094}, '1_month_later': {'2022-08-11': 34.220001220703125}, '3_months_later': {'2022-10-11': 24.780000686645508}, '6_months_later': {'2023-01-11': 28.82999992370605}, '12_months_later': {'2023-07-11': 33.45000076293945}}
|
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.
|
HPP
|
{'date': '2022-07-11', 'ticker': 'HPP', '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/peek-under-the-hood%3A-rwk-has-34-upside', '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 S&P MidCap 400 Revenue ETF (Symbol: RWK), we found that the implied analyst target price for the ETF based upon its underlying holdings is $106.51 per unit.\nWith RWK trading at a recent price near $79.72 per unit, that means that analysts see 33.60% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of RWK's underlying holdings with notable upside to their analyst target prices are Timken Co. (Symbol: TKR), Hudson Pacific Properties Inc (Symbol: HPP), and Envista Holdings Corp (Symbol: NVST). Although TKR has traded at a recent price of $52.68/share, the average analyst target is 40.68% higher at $74.11/share. Similarly, HPP has 38.89% upside from the recent share price of $14.80 if the average analyst target price of $20.55/share is reached, and analysts on average are expecting NVST to reach a target price of $53.57/share, which is 37.12% above the recent price of $39.07. Below is a twelve month price history chart comparing the stock performance of TKR, HPP, and NVST:\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 S&P MidCap 400 Revenue ETF RWK $79.72 $106.51 33.60%\nTimken Co. TKR $52.68 $74.11 40.68%\nHudson Pacific Properties Inc HPP $14.80 $20.55 38.89%\nEnvista Holdings Corp NVST $39.07 $53.57 37.12%\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 S&P MidCap 400 Revenue ETF RWK $79.72 $106.51 33.60% Timken Co. TKR $52.68 $74.11 40.68% Hudson Pacific Properties Inc HPP $14.80 $20.55 38.89% Envista Holdings Corp NVST $39.07 $53.57 37.12% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of RWK's underlying holdings with notable upside to their analyst target prices are Timken Co. (Symbol: TKR), Hudson Pacific Properties Inc (Symbol: HPP), and Envista Holdings Corp (Symbol: NVST). Similarly, HPP has 38.89% upside from the recent share price of $14.80 if the average analyst target price of $20.55/share is reached, and analysts on average are expecting NVST to reach a target price of $53.57/share, which is 37.12% above the recent price of $39.07.", 'news_luhn_summary': "Three of RWK's underlying holdings with notable upside to their analyst target prices are Timken Co. (Symbol: TKR), Hudson Pacific Properties Inc (Symbol: HPP), and Envista Holdings Corp (Symbol: NVST). Similarly, HPP has 38.89% upside from the recent share price of $14.80 if the average analyst target price of $20.55/share is reached, and analysts on average are expecting NVST to reach a target price of $53.57/share, which is 37.12% above the recent price of $39.07. Invesco S&P MidCap 400 Revenue ETF RWK $79.72 $106.51 33.60% Timken Co. TKR $52.68 $74.11 40.68% Hudson Pacific Properties Inc HPP $14.80 $20.55 38.89% Envista Holdings Corp NVST $39.07 $53.57 37.12% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now?", 'news_article_title': 'Peek Under The Hood: RWK Has 34% Upside', 'news_lexrank_summary': "Invesco S&P MidCap 400 Revenue ETF RWK $79.72 $106.51 33.60% Timken Co. TKR $52.68 $74.11 40.68% Hudson Pacific Properties Inc HPP $14.80 $20.55 38.89% Envista Holdings Corp NVST $39.07 $53.57 37.12% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of RWK's underlying holdings with notable upside to their analyst target prices are Timken Co. (Symbol: TKR), Hudson Pacific Properties Inc (Symbol: HPP), and Envista Holdings Corp (Symbol: NVST). Similarly, HPP has 38.89% upside from the recent share price of $14.80 if the average analyst target price of $20.55/share is reached, and analysts on average are expecting NVST to reach a target price of $53.57/share, which is 37.12% above the recent price of $39.07.", 'news_textrank_summary': "Similarly, HPP has 38.89% upside from the recent share price of $14.80 if the average analyst target price of $20.55/share is reached, and analysts on average are expecting NVST to reach a target price of $53.57/share, which is 37.12% above the recent price of $39.07. Three of RWK's underlying holdings with notable upside to their analyst target prices are Timken Co. (Symbol: TKR), Hudson Pacific Properties Inc (Symbol: HPP), and Envista Holdings Corp (Symbol: NVST). Below is a twelve month price history chart comparing the stock performance of TKR, HPP, and NVST: 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': 14.369999885559082, 'high': 14.779999732971191, 'open': 14.720000267028809, 'close': 14.520000457763672, 'ema_50': 18.457233698635836, 'rsi_14': 32.051272646206684, 'target': 14.90999984741211, 'volume': 1840900.0, 'ema_200': 23.022423651802544, 'adj_close': 13.061912536621094, 'rsi_lag_1': 44.33780944082825, 'rsi_lag_2': 36.95999709472613, 'rsi_lag_3': 42.31332101701632, 'rsi_lag_4': 43.005953795887244, 'rsi_lag_5': 32.45283000760901, 'macd_lag_1': -1.1823998157492834, 'macd_lag_2': -1.203861562676849, 'macd_lag_3': -1.2565074865208423, 'macd_lag_4': -1.304408151664358, 'macd_lag_5': -1.3873008432191405, 'macd_12_26_9': -1.1744465760202694, 'macds_12_26_9': -1.28497147339738}, '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': 14.90999984741211, '2022-07-13': 14.34000015258789, '2022-07-14': 13.9399995803833, '2022-07-15': 14.149999618530272, '2022-07-18': 14.229999542236328, '2022-07-19': 14.720000267028809, '2022-07-20': 14.670000076293944, '2022-07-21': 14.460000038146973, '2022-07-22': 14.539999961853027, '2022-07-25': 14.579999923706056}, '1_month_later': {'2022-08-11': 15.369999885559082}, '3_months_later': {'2022-10-11': 10.18000030517578}, '6_months_later': {'2023-01-11': 10.149999618530272}, '12_months_later': {'2023-07-11': 5.239999771118164}}
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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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HPI
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{'date': '2022-07-11', 'ticker': 'HPI', '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': 17.110000610351562, 'high': 17.260000228881836, 'open': 17.139999389648438, 'close': 17.200000762939453, 'ema_50': 17.70625245693669, 'rsi_14': 66.8161469496956, 'target': 17.059999465942383, 'volume': 36600.0, 'ema_200': 18.987543583458148, 'adj_close': 14.919198036193848, 'rsi_lag_1': 68.1034539457458, 'rsi_lag_2': 52.1452001865802, 'rsi_lag_3': 58.02049781143159, 'rsi_lag_4': 54.140096436420365, 'rsi_lag_5': 42.41575125625045, 'macd_lag_1': -0.12388114863179567, 'macd_lag_2': -0.11578994522824004, 'macd_lag_3': -0.11701468823152439, 'macd_lag_4': -0.13927599812575764, 'macd_lag_5': -0.2012999001467044, 'macd_12_26_9': -0.12721318146390104, 'macds_12_26_9': -0.17268009139924193}, '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': 17.059999465942383, '2022-07-13': 17.049999237060547, '2022-07-14': 17.040000915527344, '2022-07-15': 17.309999465942383, '2022-07-18': 17.389999389648438, '2022-07-19': 17.6299991607666, '2022-07-20': 17.979999542236328, '2022-07-21': 18.049999237060547, '2022-07-22': 18.059999465942383, '2022-07-25': 18.010000228881836}, '1_month_later': {'2022-08-11': 18.979999542236328}, '3_months_later': {'2022-10-11': 16.0}, '6_months_later': {'2023-01-11': 17.0}, '12_months_later': {'2023-07-11': 15.550000190734863}}
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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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HPF
|
{'date': '2022-07-11', 'ticker': 'HPF', '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': 17.329999923706055, 'high': 17.6299991607666, 'open': 17.610000610351562, 'close': 17.350000381469727, 'ema_50': 17.97382414209742, 'rsi_14': 60.16947919697411, 'target': 17.350000381469727, 'volume': 57800.0, 'ema_200': 19.085192788605227, 'adj_close': 15.188518524169922, 'rsi_lag_1': 68.24645106703018, 'rsi_lag_2': 55.3846277993088, 'rsi_lag_3': 63.60000610351563, 'rsi_lag_4': 58.0291671017368, 'rsi_lag_5': 44.15202786735123, 'macd_lag_1': -0.06535212624688569, 'macd_lag_2': -0.05258244243503185, 'macd_lag_3': -0.043664293620746975, 'macd_lag_4': -0.057100921226926005, 'macd_lag_5': -0.09174749484155242, 'macd_12_26_9': -0.09615060875587389, 'macds_12_26_9': -0.09646797868092519}, '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': 17.350000381469727, '2022-07-13': 17.3799991607666, '2022-07-14': 17.299999237060547, '2022-07-15': 17.43000030517578, '2022-07-18': 17.360000610351562, '2022-07-19': 17.670000076293945, '2022-07-20': 17.90999984741211, '2022-07-21': 18.0, '2022-07-22': 17.920000076293945, '2022-07-25': 17.979999542236328}, '1_month_later': {'2022-08-11': 19.100000381469727}, '3_months_later': {'2022-10-11': 16.149999618530273}, '6_months_later': {'2023-01-11': 16.729999542236328}, '12_months_later': {'2023-07-11': 15.420000076293944}}
|
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.
|
HPE
|
{'date': '2022-07-11', 'ticker': 'HPE', '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/good-news-is-bear-news-for-nvidia-stock', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nIn a bear market, good news can always be spun as bad news. Nvidia (NASDAQ:NVDA) investors were reminded of this on July 5.\nThe good news is that the chip shortage may be easing. Prices for used gaming cards have plunged. Young gamers who wanted a graphics card for years can now get one, at list prices and lower.\nBut this good news is also bad news. The new supply, from broken crypto miners, is coming as production falls. There are reports Nvidia is cutting back orders from its manufacturing partner, Taiwan Semiconductor (NYSE:TSM).\nTicker Company Recent Price\nNVDA Nvidia $157.76\nThe result is that NVDA stock, which was at $286/share in April, traded recently below $144/share.\nShort Term Weakness\nDuring the bull market, Nvidia was a ferociously expensive stock. Now it’s just pricey.\nAt its July 5 price, the company’s market cap of $362 billion is still almost 39 times last year’s earnings, and over 13 times last year’s sales of $27 billion.\n7 Best Bear Market Stocks to Buy in July 2022\nThe good news is that underestimates the company’s power. First-quarter revenue came in at $8.3 billion, up 46% from a year earlier. Non-GAAP earnings were also up 49% from a year ago. But costs from the cancelled acquisition of ARM Holdings meant GAAP earnings were down 16%.\nThe problem is that investors buy tomorrow, not yesterday. If prices for gaming chips continue to fall, Nvidia’s list prices will as well. That will cut earnings because a lot of the company’s revenue still comes from gamers.\nNvidia is due to report its current quarter on Aug. 24, for the three months ending in July. Analysts currently expect $1.03/share of earnings and $8.11 billion of revenue. Field reports of slowing demand, however, indicate it could fall short. The most recent chip stock to report, Micron Technologies (NASDAQ:MU), gave weak guidance. They’re expecting a storm. Nvidia’s ship is being tossed, too.\nLong Term Strength\nAnalysts continue pounding the table for NVDA stock, even as they cut their price targets.\nThe reason is that lower prices open huge new opportunities. Car makers can now bring those autonomous driving features to the market. Nvidia’s artificial intelligence software can now be offered as a service, with Hewlett Packard Enterprise (NYSE:HPE) bringing it to the network edge. Alphabet’s (NASDAQ:GOOGL) cloud gaming service, Stadia, may now be able to fulfill its promise with an Nvidia upgrade.\nEven while edge applications for Nvidia chips slow, like gaming and crypto, the cloud continues to grow. Data centers were the biggest buyers of Nvidia chips in the first quarter. Capital spending from the cloud czars, especially Google, Microsoft (NASDAQ:MSFT), and Amazon (NASDAQ:AMZN), remains strong. Lower prices may just mean they’ll buy more Nvidia graphics chips for new applications. Eventually, cloud services at the network center will spur demand for support from the network edge, as prices for things like Meta Network (NASDAQ:FB) headsets come down. Meta, by the way, has been a big buyer of Nvidia chips for its “metaverse” activities.\nThe Bottom Line for NVDA Stock\nBear markets end.\nWhen they do, tech stocks will be the first to rise again. Companies like Nvidia make new money-saving ideas practical. They create new markets and growth. This has driven the economy forward for a half-century. It’s not changing.\nBut bear markets also require patience. It’s easy to say, “buy the dip.” The problem right now is many investors have no cash with which to do that. That means the best advice is to hold your nerve.\nNvidia may not rise again for several months. It may even go lower. No one is paying 13 times revenue for anything right now. The next few months may be brutal.\nThe snapback, however, when it comes, will be something to behold. You’ll want to behold it from inside the Nvidia tent rather than outside.\nOn the date of publication, Dana Blankenhorn held long positions in NVDA, TSM, MSFT, GOOGL and AMZN. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.\nDana Blankenhorn has been a financial and technology journalist since 1978. He is the author of Technology’s Big Bang: Yesterday, Today and Tomorrow with Moore’s Law, available at the Amazon Kindle store. Write him at [email protected], tweet him at @danablankenhorn, or subscribe to his Substack.\nThe post Good News Is Bear News for Nvidia Stock 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': 'Nvidia’s artificial intelligence software can now be offered as a service, with Hewlett Packard Enterprise (NYSE:HPE) bringing it to the network edge. Long Term Strength Analysts continue pounding the table for NVDA stock, even as they cut their price targets. He is the author of Technology’s Big Bang: Yesterday, Today and Tomorrow with Moore’s Law, available at the Amazon Kindle store.', 'news_luhn_summary': 'Nvidia’s artificial intelligence software can now be offered as a service, with Hewlett Packard Enterprise (NYSE:HPE) bringing it to the network edge. InvestorPlace - Stock Market News, Stock Advice & Trading Tips In a bear market, good news can always be spun as bad news. If prices for gaming chips continue to fall, Nvidia’s list prices will as well.', 'news_article_title': 'Good News Is Bear News for Nvidia Stock', 'news_lexrank_summary': 'Nvidia’s artificial intelligence software can now be offered as a service, with Hewlett Packard Enterprise (NYSE:HPE) bringing it to the network edge. InvestorPlace - Stock Market News, Stock Advice & Trading Tips In a bear market, good news can always be spun as bad news. If prices for gaming chips continue to fall, Nvidia’s list prices will as well.', 'news_textrank_summary': 'Nvidia’s artificial intelligence software can now be offered as a service, with Hewlett Packard Enterprise (NYSE:HPE) bringing it to the network edge. InvestorPlace - Stock Market News, Stock Advice & Trading Tips In a bear market, good news can always be spun as bad news. At its July 5 price, the company’s market cap of $362 billion is still almost 39 times last year’s earnings, and over 13 times last year’s sales of $27 billion.'}], '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': 13.0, 'high': 13.19499969482422, 'open': 13.010000228881836, 'close': 13.0600004196167, 'ema_50': 14.410591989177709, 'rsi_14': 44.33962349027689, 'target': 13.119999885559082, 'volume': 7588900.0, 'ema_200': 15.20088320867816, 'adj_close': 12.458250999450684, 'rsi_lag_1': 47.435882936401775, 'rsi_lag_2': 36.0433552506265, 'rsi_lag_3': 38.21989345804007, 'rsi_lag_4': 38.52242305869933, 'rsi_lag_5': 34.844866236291494, 'macd_lag_1': -0.5100108928570144, 'macd_lag_2': -0.5356484956592293, 'macd_lag_3': -0.5453074603213857, 'macd_lag_4': -0.5222132081054962, 'macd_lag_5': -0.4912497524189021, 'macd_12_26_9': -0.49448266539098995, 'macds_12_26_9': -0.49552520975445213}, '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': 13.119999885559082, '2022-07-13': 13.0, '2022-07-14': 13.010000228881836, '2022-07-15': 13.270000457763672, '2022-07-18': 13.15999984741211, '2022-07-19': 13.779999732971191, '2022-07-20': 13.90999984741211, '2022-07-21': 14.0600004196167, '2022-07-22': 13.770000457763672, '2022-07-25': 13.880000114440918}, '1_month_later': {'2022-08-11': 14.670000076293944}, '3_months_later': {'2022-10-11': 12.210000038146973}, '6_months_later': {'2023-01-11': 16.90999984741211}, '12_months_later': {'2023-07-11': 17.329999923706055}}
|
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.
|
HQH
|
{'date': '2022-07-11', 'ticker': 'HQH', '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': 19.31999969482422, 'high': 19.59000015258789, 'open': 19.59000015258789, 'close': 19.36000061035156, 'ema_50': 19.30088189463908, 'rsi_14': 74.84280841370088, 'target': 19.13999938964844, 'volume': 66500.0, 'ema_200': 21.349978557008036, 'adj_close': 16.9039249420166, 'rsi_lag_1': 83.49208752017101, 'rsi_lag_2': 72.25437891461794, 'rsi_lag_3': 72.25437891461792, 'rsi_lag_4': 67.67123960559121, 'rsi_lag_5': 53.78972968309518, 'macd_lag_1': 0.05695358547677287, 'macd_lag_2': 0.001951733085604701, 'macd_lag_3': -0.05504274189685532, 'macd_lag_4': -0.10255145520575226, 'macd_lag_5': -0.15864357638584892, 'macd_12_26_9': 0.0770610762042665, 'macds_12_26_9': -0.08141364877370545}, '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': 19.13999938964844, '2022-07-13': 19.040000915527344, '2022-07-14': 18.809999465942383, '2022-07-15': 19.209999084472656, '2022-07-18': 18.790000915527344, '2022-07-19': 19.299999237060547, '2022-07-20': 19.239999771118164, '2022-07-21': 19.36000061035156, '2022-07-22': 19.1200008392334, '2022-07-25': 19.18000030517578}, '1_month_later': {'2022-08-11': 20.0}, '3_months_later': {'2022-10-11': 17.59000015258789}, '6_months_later': {'2023-01-11': 18.71999931335449}, '12_months_later': {'2023-07-11': 17.219999313354492}}
|
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.
|
FEZ
|
{'date': '2022-07-11', 'ticker': 'FEZ', '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': 33.34000015258789, 'high': 33.68000030517578, 'open': 33.599998474121094, 'close': 33.380001068115234, 'ema_50': 36.85548964682667, 'rsi_14': 31.36531625025249, 'target': 33.29999923706055, 'volume': 2150800.0, 'ema_200': 41.063928045840214, 'adj_close': 32.13022994995117, 'rsi_lag_1': 38.21138841743626, 'rsi_lag_2': 31.59665255549423, 'rsi_lag_3': 35.49918748730448, 'rsi_lag_4': 33.53472875292729, 'rsi_lag_5': 32.79172463378586, 'macd_lag_1': -1.0590112000218994, 'macd_lag_2': -1.0774538308120398, 'macd_lag_3': -1.0853212783905803, 'macd_lag_4': -1.02764902083441, 'macd_lag_5': -0.9370542160964632, 'macd_12_26_9': -1.086738380299785, 'macds_12_26_9': -0.999078930395248}, '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': 33.29999923706055, '2022-07-13': 33.380001068115234, '2022-07-14': 32.849998474121094, '2022-07-15': 33.59000015258789, '2022-07-18': 33.790000915527344, '2022-07-19': 35.18000030517578, '2022-07-20': 34.77000045776367, '2022-07-21': 35.20000076293945, '2022-07-22': 34.9900016784668, '2022-07-25': 35.310001373291016}, '1_month_later': {'2022-08-11': 37.040000915527344}, '3_months_later': {'2022-10-11': 30.89999961853028}, '6_months_later': {'2023-01-11': 42.380001068115234}, '12_months_later': {'2023-07-11': 45.2400016784668}}
|
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.
|
H
|
{'date': '2022-07-11', 'ticker': 'H', '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': 72.0, 'high': 74.7699966430664, 'open': 74.0999984741211, 'close': 74.16000366210938, 'ema_50': 81.82177029654305, 'rsi_14': 45.49201173221556, 'target': 74.26000213623047, 'volume': 654700.0, 'ema_200': 85.49722489114704, 'adj_close': 73.86317443847656, 'rsi_lag_1': 45.051029404723764, 'rsi_lag_2': 35.56180533086784, 'rsi_lag_3': 37.86407766990291, 'rsi_lag_4': 42.61153972033248, 'rsi_lag_5': 34.32244649801166, 'macd_lag_1': -2.978673082940986, 'macd_lag_2': -3.0965977025340976, 'macd_lag_3': -3.2427976289654055, 'macd_lag_4': -3.2193249976422322, 'macd_lag_5': -3.3441391809482326, 'macd_12_26_9': -2.8690890705345993, 'macds_12_26_9': -3.055586297785383}, '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': 74.26000213623047, '2022-07-13': 74.58999633789062, '2022-07-14': 73.72000122070312, '2022-07-15': 75.31999969482422, '2022-07-18': 76.33000183105469, '2022-07-19': 79.4000015258789, '2022-07-20': 80.52999877929688, '2022-07-21': 80.23999786376953, '2022-07-22': 79.56999969482422, '2022-07-25': 80.58000183105469}, '1_month_later': {'2022-08-11': 90.05000305175781}, '3_months_later': {'2022-10-11': 80.63999938964844}, '6_months_later': {'2023-01-11': 102.5199966430664}, '12_months_later': {'2023-07-11': 119.51000213623048}}
|
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.
|
GXG
|
{'date': '2022-07-11', 'ticker': 'GXG', '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': 22.76000022888184, 'high': 23.51000022888184, 'open': 23.309999465942383, 'close': 22.76000022888184, 'ema_50': 28.960452824042992, 'rsi_14': 10.99250393123765, 'target': 22.280000686645508, 'volume': 6700.0, 'ema_200': 30.21560351780913, 'adj_close': 20.18669509887696, 'rsi_lag_1': 11.990658204457631, 'rsi_lag_2': 11.195624208164773, 'rsi_lag_3': 15.946498464112949, 'rsi_lag_4': 17.717384386151892, 'rsi_lag_5': 16.090812396900986, 'macd_lag_1': -2.0582777114486532, 'macd_lag_2': -2.0281839694592882, 'macd_lag_3': -1.9765634473190445, 'macd_lag_4': -1.863599766593012, 'macd_lag_5': -1.7534008803173045, 'macd_12_26_9': -2.1222168762320592, 'macds_12_26_9': -1.775457067411666}, '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': 22.280000686645508, '2022-07-13': 22.280000686645508, '2022-07-14': 21.770000457763672, '2022-07-15': 22.309999465942383, '2022-07-18': 22.75, '2022-07-19': 23.40999984741211, '2022-07-20': 23.489999771118164, '2022-07-21': 23.01000022888184, '2022-07-22': 22.540000915527344, '2022-07-25': 22.6299991607666}, '1_month_later': {'2022-08-11': 24.729999542236328}, '3_months_later': {'2022-10-11': 20.36000061035156}, '6_months_later': {'2023-01-11': 21.38999938964844}, '12_months_later': {'2023-07-11': 21.299999237060547}}
|
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.
|
GLU
|
{'date': '2022-07-11', 'ticker': 'GLU', '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': 15.81999969482422, 'high': 16.100000381469727, 'open': 15.81999969482422, 'close': 16.030000686645508, 'ema_50': 16.788753612140447, 'rsi_14': 50.54946206584322, 'target': 16.049999237060547, 'volume': 4200.0, 'ema_200': 18.56376304425672, 'adj_close': 14.13491916656494, 'rsi_lag_1': 52.17395811305577, 'rsi_lag_2': 43.24327575215524, 'rsi_lag_3': 44.24783989116328, 'rsi_lag_4': 36.363699416352475, 'rsi_lag_5': 27.586261327328046, 'macd_lag_1': -0.22624612164003466, 'macd_lag_2': -0.23814839339715022, 'macd_lag_3': -0.25394866991410225, 'macd_lag_4': -0.26431273293740176, 'macd_lag_5': -0.2635146402402242, 'macd_12_26_9': -0.2151404156255765, 'macds_12_26_9': -0.25237156784357845}, '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': 16.049999237060547, '2022-07-13': 16.049999237060547, '2022-07-14': 15.899999618530272, '2022-07-15': 15.81999969482422, '2022-07-18': 15.81999969482422, '2022-07-19': 15.970000267028809, '2022-07-20': 15.949999809265137, '2022-07-21': 15.960000038146973, '2022-07-22': 15.90999984741211, '2022-07-25': 16.030000686645508}, '1_month_later': {'2022-08-11': 16.75}, '3_months_later': {'2022-10-11': 14.0}, '6_months_later': {'2023-01-11': 14.880000114440918}, '12_months_later': {'2023-07-11': 14.270000457763672}}
|
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.
|
GLW
|
{'date': '2022-07-11', 'ticker': 'GLW', '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/corning-glw-stock-moves-0.49%3A-what-you-should-know', 'news_author': None, 'news_article': 'Corning (GLW) closed at $32.45 in the latest trading session, marking a -0.49% move from the prior day. This change was narrower than the S&P 500\'s daily loss of 1.15%. Meanwhile, the Dow lost 0.52%, and the Nasdaq, a tech-heavy index, lost 0.37%.\nComing into today, shares of the specialty glass maker had lost 2.01% in the past month. In that same time, the Computer and Technology sector lost 4.74%, while the S&P 500 lost 5.08%.\nInvestors will be hoping for strength from Corning as it approaches its next earnings release, which is expected to be July 26, 2022. On that day, Corning is projected to report earnings of $0.57 per share, which would represent year-over-year growth of 7.55%. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $3.79 billion, up 8.19% from the year-ago period.\nFor the full year, our Zacks Consensus Estimates are projecting earnings of $2.36 per share and revenue of $15.37 billion, which would represent changes of +14.01% and +8.87%, respectively, from the prior year.\nAny recent changes to analyst estimates for Corning should also be noted by investors. These revisions typically reflect the latest short-term business trends, which can change frequently. With this in mind, we can consider positive estimate revisions a sign of optimism about the company\'s business outlook.\nBased on our research, we believe these estimate revisions are directly related to near-team stock moves. Investors can capitalize on this by using the Zacks Rank. This model considers these estimate changes and provides a simple, actionable rating system.\nRanging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. The Zacks Consensus EPS estimate remained stagnant within the past month. Corning currently has a Zacks Rank of #3 (Hold).\nDigging into valuation, Corning currently has a Forward P/E ratio of 13.82. For comparison, its industry has an average Forward P/E of 15.59, which means Corning is trading at a discount to the group.\nMeanwhile, GLW\'s PEG ratio is currently 2.23. This metric is used similarly to the famous P/E ratio, but the PEG ratio also takes into account the stock\'s expected earnings growth rate. Communication - Components stocks are, on average, holding a PEG ratio of 1.77 based on yesterday\'s closing prices.\nThe Communication - Components industry is part of the Computer and Technology sector. This industry currently has a Zacks Industry Rank of 72, which puts it in the top 29% of all 250+ industries.\nThe Zacks Industry Rank gauges the strength of our industry groups by measuring the average Zacks Rank of the individual stocks within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nBe sure to follow all of these stock-moving metrics, and many more, on Zacks.com.\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 \nCorning Incorporated (GLW): 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': "Corning (GLW) closed at $32.45 in the latest trading session, marking a -0.49% move from the prior day. Meanwhile, GLW's PEG ratio is currently 2.23. Corning Incorporated (GLW): Free Stock Analysis Report", 'news_luhn_summary': "Corning (GLW) closed at $32.45 in the latest trading session, marking a -0.49% move from the prior day. Meanwhile, GLW's PEG ratio is currently 2.23. Corning Incorporated (GLW): Free Stock Analysis Report", 'news_article_title': 'Corning (GLW) Stock Moves -0.49%: What You Should Know', 'news_lexrank_summary': "Corning (GLW) closed at $32.45 in the latest trading session, marking a -0.49% move from the prior day. Meanwhile, GLW's PEG ratio is currently 2.23. Corning Incorporated (GLW): Free Stock Analysis Report", 'news_textrank_summary': "Corning (GLW) closed at $32.45 in the latest trading session, marking a -0.49% move from the prior day. Meanwhile, GLW's PEG ratio is currently 2.23. Corning Incorporated (GLW): 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': 32.15999984741211, 'high': 32.63999938964844, 'open': 32.33000183105469, 'close': 32.45000076293945, 'ema_50': 33.769328563756964, 'rsi_14': 54.58938414763185, 'target': 32.36000061035156, 'volume': 3187300.0, 'ema_200': 36.39609637255061, 'adj_close': 30.82523727416992, 'rsi_lag_1': 59.45121853710422, 'rsi_lag_2': 49.49237423724219, 'rsi_lag_3': 48.777358286774735, 'rsi_lag_4': 48.10951212173212, 'rsi_lag_5': 42.17143467494419, 'macd_lag_1': -0.568510458327026, 'macd_lag_2': -0.6407012532041136, 'macd_lag_3': -0.7286144991194874, 'macd_lag_4': -0.7538621039188271, 'macd_lag_5': -0.7486492110468319, 'macd_12_26_9': -0.518235487680414, 'macds_12_26_9': -0.6575777104712097}, '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': 32.36000061035156, '2022-07-13': 32.2400016784668, '2022-07-14': 31.989999771118164, '2022-07-15': 33.20000076293945, '2022-07-18': 32.77000045776367, '2022-07-19': 34.189998626708984, '2022-07-20': 34.41999816894531, '2022-07-21': 34.849998474121094, '2022-07-22': 34.369998931884766, '2022-07-25': 34.4900016784668}, '1_month_later': {'2022-08-11': 37.13999938964844}, '3_months_later': {'2022-10-11': 29.89999961853028}, '6_months_later': {'2023-01-11': 36.40999984741211}, '12_months_later': {'2023-07-11': 35.400001525878906}}
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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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GLYC
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{'date': '2022-07-11', 'ticker': 'GLYC', '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': 0.6299999952316284, 'high': 0.6700000166893005, 'open': 0.6600000262260437, 'close': 0.6499999761581421, 'ema_50': 0.6857684318389397, 'rsi_14': 55.9999942779541, 'target': 0.6499999761581421, 'volume': 42300.0, 'ema_200': 1.2325406530672915, 'adj_close': 0.6499999761581421, 'rsi_lag_1': 66.66666064599517, 'rsi_lag_2': 60.60606005872683, 'rsi_lag_3': 50.0, 'rsi_lag_4': 43.333330021964315, 'rsi_lag_5': 35.13513339358235, 'macd_lag_1': -0.012918486749326497, 'macd_lag_2': -0.017785633108043597, 'macd_lag_3': -0.021702819920898397, 'macd_lag_4': -0.023332354803498268, 'macd_lag_5': -0.02100012470809376, 'macd_12_26_9': -0.008957976220424824, 'macds_12_26_9': -0.017574210005519165}, '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': 0.6499999761581421, '2022-07-13': 0.6499999761581421, '2022-07-14': 0.6399999856948853, '2022-07-15': 0.6299999952316284, '2022-07-18': 0.699999988079071, '2022-07-19': 0.7699999809265137, '2022-07-20': 0.7300000190734863, '2022-07-21': 0.7400000095367432, '2022-07-22': 0.7200000286102295, '2022-07-25': 0.6800000071525574}, '1_month_later': {'2022-08-11': 0.8500000238418579}, '3_months_later': {'2022-10-11': 0.6000000238418579}, '6_months_later': {'2023-01-11': 2.7799999713897705}, '12_months_later': {'2023-07-11': 1.7200000286102295}}
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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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GM
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{'date': '2022-07-11', 'ticker': 'GM', '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': 30.790000915527344, 'high': 32.20000076293945, 'open': 31.90999984741211, 'close': 30.8700008392334, 'ema_50': 35.75350122032322, 'rsi_14': 45.362723912136516, 'target': 31.530000686645508, 'volume': 17121600.0, 'ema_200': 44.36814712779134, 'adj_close': 30.40550804138184, 'rsi_lag_1': 54.49042292930816, 'rsi_lag_2': 43.831164910470704, 'rsi_lag_3': 41.897561091227985, 'rsi_lag_4': 50.383632378943524, 'rsi_lag_5': 40.12605064465183, 'macd_lag_1': -1.167805095885008, 'macd_lag_2': -1.2095204480194468, 'macd_lag_3': -1.2808075901376341, 'macd_lag_4': -1.2116387669113777, 'macd_lag_5': -1.2177302042034768, 'macd_12_26_9': -1.2366856449821526, 'macds_12_26_9': -1.2176729734280913}, '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': 31.530000686645508, '2022-07-13': 31.71999931335449, '2022-07-14': 31.59000015258789, '2022-07-15': 32.869998931884766, '2022-07-18': 32.619998931884766, '2022-07-19': 34.400001525878906, '2022-07-20': 34.7599983215332, '2022-07-21': 35.130001068115234, '2022-07-22': 34.66999816894531, '2022-07-25': 34.52000045776367}, '1_month_later': {'2022-08-11': 38.459999084472656}, '3_months_later': {'2022-10-11': 32.09000015258789}, '6_months_later': {'2023-01-11': 37.81999969482422}, '12_months_later': {'2023-07-11': 39.970001220703125}}
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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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GMAB
|
{'date': '2022-07-11', 'ticker': 'GMAB', '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': 33.4900016784668, 'high': 34.189998626708984, 'open': 33.849998474121094, 'close': 33.83000183105469, 'ema_50': 31.84699420817669, 'rsi_14': 78.41033550100612, 'target': 33.33000183105469, 'volume': 444300.0, 'ema_200': 35.064246086250506, 'adj_close': 33.83000183105469, 'rsi_lag_1': 85.00001169600957, 'rsi_lag_2': 78.01802736822279, 'rsi_lag_3': 77.17493568272127, 'rsi_lag_4': 79.40327326070965, 'rsi_lag_5': 70.74954975059754, 'macd_lag_1': 0.9251186506997655, 'macd_lag_2': 0.8280954292020013, 'macd_lag_3': 0.7278497012487861, 'macd_lag_4': 0.6504039367772947, 'macd_lag_5': 0.4769309840981748, 'macd_12_26_9': 0.9570872050548083, 'macds_12_26_9': 0.5521257009980237}, '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': 33.33000183105469, '2022-07-13': 33.75, '2022-07-14': 34.09000015258789, '2022-07-15': 34.310001373291016, '2022-07-18': 34.189998626708984, '2022-07-19': 35.72999954223633, '2022-07-20': 35.040000915527344, '2022-07-21': 35.95000076293945, '2022-07-22': 35.68000030517578, '2022-07-25': 35.540000915527344}, '1_month_later': {'2022-08-11': 37.70000076293945}, '3_months_later': {'2022-10-11': 35.11000061035156}, '6_months_later': {'2023-01-11': 40.310001373291016}, '12_months_later': {'2023-07-11': 37.75}}
|
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.
|
GME
|
{'date': '2022-07-11', 'ticker': 'GME', '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/citrons-left-says-crypto-is-a-complete-fraud', 'news_author': None, 'news_article': 'By Carolina Mandl\nNEW YORK, July 11 (Reuters) - Andrew Left, founder of Citron Research and one of the world’s best known short-sellers, on Monday described cryptocurrencies as a "fraud."\nAsked at a conference about fraud in financial markets where he saw potential fraud, Left told the audience: "I think crypto is just complete fraud, over and over and over."\nHe did not say whether he had investments in cryptocurrencies.\nLeft built up his brand as one the most prominent short-sellers, but last year announced his company would stop publishing research highlighting companies\' shortcomings and shift to writing about companies he thought might be worth buying.\nThe move followed a backlash against Left after he said the stock of video game retailer GameStop GME.N was not worth its price.\nReuters reported last December that the U.S. Department of Justice had launched an expansive criminal investigation into short selling by hedge funds and research firms, including Citron, which has denied any wrongdoing.\n"As the DOJ, you know, hopefully, one day development will realize that this boogeyman, or short sellers, doesn\'t exist," Left said when asked about the investigations.\n(Reporting by Carolina Mandl Editing by Tomasz Janowski)\n(([email protected]))\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 move followed a backlash against Left after he said the stock of video game retailer GameStop GME.N was not worth its price. By Carolina Mandl NEW YORK, July 11 (Reuters) - Andrew Left, founder of Citron Research and one of the world’s best known short-sellers, on Monday described cryptocurrencies as a "fraud." Reuters reported last December that the U.S. Department of Justice had launched an expansive criminal investigation into short selling by hedge funds and research firms, including Citron, which has denied any wrongdoing.', 'news_luhn_summary': 'The move followed a backlash against Left after he said the stock of video game retailer GameStop GME.N was not worth its price. By Carolina Mandl NEW YORK, July 11 (Reuters) - Andrew Left, founder of Citron Research and one of the world’s best known short-sellers, on Monday described cryptocurrencies as a "fraud." Asked at a conference about fraud in financial markets where he saw potential fraud, Left told the audience: "I think crypto is just complete fraud, over and over and over."', 'news_article_title': "Citron's Left says crypto is a 'complete fraud'", 'news_lexrank_summary': 'The move followed a backlash against Left after he said the stock of video game retailer GameStop GME.N was not worth its price. By Carolina Mandl NEW YORK, July 11 (Reuters) - Andrew Left, founder of Citron Research and one of the world’s best known short-sellers, on Monday described cryptocurrencies as a "fraud." Left built up his brand as one the most prominent short-sellers, but last year announced his company would stop publishing research highlighting companies\' shortcomings and shift to writing about companies he thought might be worth buying.', 'news_textrank_summary': 'The move followed a backlash against Left after he said the stock of video game retailer GameStop GME.N was not worth its price. By Carolina Mandl NEW YORK, July 11 (Reuters) - Andrew Left, founder of Citron Research and one of the world’s best known short-sellers, on Monday described cryptocurrencies as a "fraud." Asked at a conference about fraud in financial markets where he saw potential fraud, Left told the audience: "I think crypto is just complete fraud, over and over and over."'}, {'news_url': 'https://www.nasdaq.com/articles/why-bed-bath-beyond-stock-is-a-buy', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nBed Bath & Beyond (NASDAQ:BBBY) has let go its CEO amid a stock and sales collapse. Yet insiders are buying the stock.\nMark Tritton was replaced by board member Sue Gove, just before the company reported a huge loss on declining sales in late June. New accounting officers were appointed as the board searched for a way out of the mess Tritton left.\nTicker Company Recent Price\nBBBY Bed, Bath & Beyond $5.08\nYet insiders are still buying the stock, based on three magic words.\nBuy Bye Baby\nTritton’s plan was to sell peripheral chains and transform stores from an old, 1980s Walmart (NYSE:WMT) into something more like Restoration Hardware (NYSE:RH).\nIt was based on what Tritton did as chief merchandising officer at Target (NYSE:TGT) during the 2010s. Instead of stacking off-price, name brand offerings to the ceiling, he would curate a collection of products built around high-quality store brands. (Full disclosure. I nibbled on BBBY twice during the Tritton years, and came out about even.)\n7 Best Bear Market Stocks to Buy in July 2022\nIt might have worked, except the world refused to sit still. First, the pandemic closed stores and crushed sales. Then the reopening snarled supply chains so stores couldn’t meet new demand. Finally, inflation increased costs to the Moon.\nThat’s when Ryan Cohen, the “supergenius” behind the Gamestop (NYSE:GME) meme trade, jumped in. He put $150 million into buying about 10% of the stock, then told the board to sell its real estate and other key assets for cash, like the Buy Buy Baby chain, which sells baby products.\nAt the time BBBY stock was trading at about $15/share. It recently traded around $5.\nBreak It Up\nInsiders are buying because Cohen’s plan might work.\nBuy Buy Baby sales declined only by single digits in the May quarter report. This was consistent with market trends. Back when Cohen entered the fray, the value of the baby goods chain was estimated at $1.1 billion. The current market cap of BBBY is $357 million. Add in the company’s real estate, which could be sold and then leased-back to raise more cash, and it’s time to listen to your junk man.\nThis makes BBBY stock a buy, assuming the board can execute on Cohen’s plan. BBBY still had positive operating cash flow in the May quarter. Assets were estimated at nearly $5 billion at the end of May.\nThere are risks.\nWhile battling Cohen, Tritton wasted $500 million on stock buybacks, and we don’t know what the new accountants will find under the bed or in the beyond. Bank of America (NYSE:BAC) analysts describe stores without air conditioning, orders that aren’t being fulfilled, and sales that could drop another 20% this quarter. But that would leave $1.15 billion of revenue.\nThat may be why Gove said she is putting some of her own money into the stock. It’s not much, just $230,000, but Gove has been working with retailers for decades, as an operator and then a consultant.\nThe Bottom Line on BBBY Stock\nToday’s BBBY stock is not for the timid. The company may not survive the year. Gove will first have to staunch the bleeding, then see what value she can wring out of what remains.\nBut speculators can now hope for something better than what the company has. Even broken up and sold for parts, BBBY is worth more than its present market cap. Sell the land, sell the baby stores, sell the inventory at half off and you should still be able to cover the $2.7 billion in long-term debt with a lot more than $400 million left over.\nCohen had the right idea. He just took the wrong approach, coming in hot when Tritton still had board support. He won’t be made whole in the breakup, but new money might be.\nOn the date of publication, Dana Blankenhorn held long positions in BAC. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.\nDana Blankenhorn has been a financial and technology journalist since 1978. He is the author of Technology’s Big Bang: Yesterday, Today and Tomorrow with Moore’s Law, available at the Amazon Kindle store. Write him at [email protected], tweet him at @danablankenhorn, or subscribe to his Substack.\nThe post Why Bed, Bath & Beyond Stock Is a Buy 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': 'That’s when Ryan Cohen, the “supergenius” behind the Gamestop (NYSE:GME) meme trade, jumped in. Mark Tritton was replaced by board member Sue Gove, just before the company reported a huge loss on declining sales in late June. Ticker Company Recent Price BBBY Bed, Bath & Beyond $5.08 Yet insiders are still buying the stock, based on three magic words.', 'news_luhn_summary': 'That’s when Ryan Cohen, the “supergenius” behind the Gamestop (NYSE:GME) meme trade, jumped in. InvestorPlace - Stock Market News, Stock Advice & Trading Tips Bed Bath & Beyond (NASDAQ:BBBY) has let go its CEO amid a stock and sales collapse. Ticker Company Recent Price BBBY Bed, Bath & Beyond $5.08 Yet insiders are still buying the stock, based on three magic words.', 'news_article_title': 'Why Bed, Bath & Beyond Stock Is a Buy', 'news_lexrank_summary': 'That’s when Ryan Cohen, the “supergenius” behind the Gamestop (NYSE:GME) meme trade, jumped in. Buy Bye Baby Tritton’s plan was to sell peripheral chains and transform stores from an old, 1980s Walmart (NYSE:WMT) into something more like Restoration Hardware (NYSE:RH). He put $150 million into buying about 10% of the stock, then told the board to sell its real estate and other key assets for cash, like the Buy Buy Baby chain, which sells baby products.', 'news_textrank_summary': 'That’s when Ryan Cohen, the “supergenius” behind the Gamestop (NYSE:GME) meme trade, jumped in. InvestorPlace - Stock Market News, Stock Advice & Trading Tips Bed Bath & Beyond (NASDAQ:BBBY) has let go its CEO amid a stock and sales collapse. Ticker Company Recent Price BBBY Bed, Bath & Beyond $5.08 Yet insiders are still buying the stock, based on three magic words.'}, {'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.'}], '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': 31.162500381469727, 'high': 32.935001373291016, 'open': 32.13999938964844, 'close': 32.522499084472656, 'ema_50': 31.45816934173813, 'rsi_14': 46.0028459569633, 'target': 34.279998779296875, 'volume': 7532800.0, 'ema_200': 33.871349885502376, 'adj_close': 32.522499084472656, 'rsi_lag_1': 51.97803103122746, 'rsi_lag_2': 54.28613800764219, 'rsi_lag_3': 41.82260132546542, 'rsi_lag_4': 51.690577808478345, 'rsi_lag_5': 45.7181683173793, 'macd_lag_1': 0.14353756523864192, 'macd_lag_2': 0.11899779379398367, 'macd_lag_3': -0.08154571082286566, 'macd_lag_4': 0.11396474883845542, 'macd_lag_5': 0.29057671605103863, 'macd_12_26_9': 0.19203986794130046, 'macds_12_26_9': 0.31740665841934185}, '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': 34.279998779296875, '2022-07-13': 35.31999969482422, '2022-07-14': 34.04999923706055, '2022-07-15': 35.40999984741211, '2022-07-18': 36.65999984741211, '2022-07-19': 37.92499923706055, '2022-07-20': 39.6875, '2022-07-21': 38.36750030517578, '2022-07-22': 35.779998779296875, '2022-07-25': 33.97999954223633}, '1_month_later': {'2022-08-11': 39.45000076293945}, '3_months_later': {'2022-10-11': 25.270000457763672}, '6_months_later': {'2023-01-11': 19.040000915527344}, '12_months_later': {'2023-07-11': 23.90999984741211}}
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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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GMF
|
{'date': '2022-07-11', 'ticker': 'GMF', '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': 99.79000091552734, 'high': 100.61000061035156, 'open': 100.56999969482422, 'close': 99.9800033569336, 'ema_50': 103.65277264785178, 'rsi_14': 44.60917100275618, 'target': 99.73999786376952, 'volume': 14400.0, 'ema_200': 112.51212595930247, 'adj_close': 95.52519989013672, 'rsi_lag_1': 56.44028437797241, 'rsi_lag_2': 47.31675605071139, 'rsi_lag_3': 44.09720695313274, 'rsi_lag_4': 53.11494415645693, 'rsi_lag_5': 44.92124851949868, 'macd_lag_1': -0.2088842983008874, 'macd_lag_2': -0.21829970396473186, 'macd_lag_3': -0.2963783116631902, 'macd_lag_4': -0.1667051846348926, 'macd_lag_5': -0.07513395436046721, 'macd_12_26_9': -0.4097253500370499, 'macds_12_26_9': -0.2037454873116135}, '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': 99.73999786376952, '2022-07-13': 99.5, '2022-07-14': 99.2699966430664, '2022-07-15': 99.01000213623048, '2022-07-18': 99.72000122070312, '2022-07-19': 101.08999633789062, '2022-07-20': 100.55999755859376, '2022-07-21': 101.87999725341795, '2022-07-22': 100.5, '2022-07-25': 100.8000030517578}, '1_month_later': {'2022-08-11': 102.31999969482422}, '3_months_later': {'2022-10-11': 87.18000030517578}, '6_months_later': {'2023-01-11': 102.62999725341795}, '12_months_later': {'2023-07-11': 99.87999725341795}}
|
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.
|
GMOM
|
{'date': '2022-07-11', 'ticker': 'GMOM', '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': 28.88999938964844, 'high': 29.198999404907227, 'open': 28.88999938964844, 'close': 29.1200008392334, 'ema_50': 30.749559413070873, 'rsi_14': 32.40589811132868, 'target': 28.780000686645508, 'volume': 106500.0, 'ema_200': 30.739777399720275, 'adj_close': 27.82584381103516, 'rsi_lag_1': 25.674981077113117, 'rsi_lag_2': 22.728287295336386, 'rsi_lag_3': 14.338957262404932, 'rsi_lag_4': 14.519371064352583, 'rsi_lag_5': 15.276663993584535, 'macd_lag_1': -0.7465006482209127, 'macd_lag_2': -0.7502150677120021, 'macd_lag_3': -0.7502545972976442, 'macd_lag_4': -0.6955086457751278, 'macd_lag_5': -0.6226436562753932, 'macd_12_26_9': -0.7207243619022421, 'macds_12_26_9': -0.649276746121996}, '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': 28.780000686645508, '2022-07-13': 28.8799991607666, '2022-07-14': 28.790000915527344, '2022-07-15': 28.84000015258789, '2022-07-18': 29.100000381469727, '2022-07-19': 29.14999961853028, '2022-07-20': 29.190000534057617, '2022-07-21': 28.89999961853028, '2022-07-22': 29.030000686645508, '2022-07-25': 29.239999771118164}, '1_month_later': {'2022-08-11': 29.489999771118164}, '3_months_later': {'2022-10-11': 28.93600082397461}, '6_months_later': {'2023-01-11': 28.64999961853028}, '12_months_later': {'2023-07-11': 27.63999938964844}}
|
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.
|
GMS
|
{'date': '2022-07-11', 'ticker': 'GMS', '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': 45.16999816894531, 'high': 46.400001525878906, 'open': 45.790000915527344, 'close': 45.41999816894531, 'ema_50': 46.55450845526968, 'rsi_14': 72.84342536436887, 'target': 45.90999984741211, 'volume': 142500.0, 'ema_200': 48.57271790380415, 'adj_close': 45.41999816894531, 'rsi_lag_1': 77.13078900131599, 'rsi_lag_2': 54.39999887319763, 'rsi_lag_3': 50.53492162949198, 'rsi_lag_4': 51.56949905549025, 'rsi_lag_5': 42.750932757016415, 'macd_lag_1': -0.4519276396218288, 'macd_lag_2': -0.5977050103197001, 'macd_lag_3': -0.7445306773596272, 'macd_lag_4': -0.8386312154302757, 'macd_lag_5': -0.9770848250258055, 'macd_12_26_9': -0.38760735716876127, 'macds_12_26_9': -0.7940454062233646}, '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': 45.90999984741211, '2022-07-13': 46.0, '2022-07-14': 45.93000030517578, '2022-07-15': 45.869998931884766, '2022-07-18': 46.060001373291016, '2022-07-19': 47.0, '2022-07-20': 47.77999877929688, '2022-07-21': 47.95000076293945, '2022-07-22': 47.91999816894531, '2022-07-25': 47.65999984741211}, '1_month_later': {'2022-08-11': 53.63999938964844}, '3_months_later': {'2022-10-11': 42.900001525878906}, '6_months_later': {'2023-01-11': 53.220001220703125}, '12_months_later': {'2023-07-11': 69.43000030517578}}
|
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.
|
GNE
|
{'date': '2022-07-11', 'ticker': 'GNE', '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': 8.710000038146973, 'high': 9.050000190734863, 'open': 8.710000038146973, 'close': 8.920000076293945, 'ema_50': 7.992953560537918, 'rsi_14': 61.134460452893414, 'target': 8.920000076293945, 'volume': 51900.0, 'ema_200': 6.854181988403708, 'adj_close': 8.622110366821289, 'rsi_lag_1': 59.86985336161121, 'rsi_lag_2': 69.00000739098124, 'rsi_lag_3': 66.21254942478078, 'rsi_lag_4': 59.93884523387855, 'rsi_lag_5': 65.72328821721116, 'macd_lag_1': 0.35130603768621427, 'macd_lag_2': 0.3827820790180869, 'macd_lag_3': 0.3369528545072882, 'macd_lag_4': 0.32242964709382527, 'macd_lag_5': 0.3470574401349378, 'macd_12_26_9': 0.3362030935814282, 'macds_12_26_9': 0.33460572034391617}, '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': 8.920000076293945, '2022-07-13': 9.020000457763672, '2022-07-14': 9.119999885559082, '2022-07-15': 8.989999771118164, '2022-07-18': 9.140000343322754, '2022-07-19': 9.1899995803833, '2022-07-20': 9.300000190734863, '2022-07-21': 9.520000457763672, '2022-07-22': 9.34000015258789, '2022-07-25': 9.149999618530272}, '1_month_later': {'2022-08-11': 10.039999961853027}, '3_months_later': {'2022-10-11': 9.5600004196167}, '6_months_later': {'2023-01-11': 10.770000457763672}, '12_months_later': {'2023-07-11': 13.199999809265137}}
|
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.
|
GNFT
|
{'date': '2022-07-11', 'ticker': 'GNFT', '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': 3.359999895095825, 'high': 4.170000076293945, 'open': 3.359999895095825, 'close': 3.759999990463257, 'ema_50': 3.5130478370903626, 'rsi_14': 68.21705927807946, 'target': 3.759999990463257, 'volume': 81600.0, 'ema_200': 3.8540816702931355, 'adj_close': 3.759999990463257, 'rsi_lag_1': 51.8867907552966, 'rsi_lag_2': 63.725485842029954, 'rsi_lag_3': 43.023251623255575, 'rsi_lag_4': 62.162154615437494, 'rsi_lag_5': 41.843975588656825, 'macd_lag_1': -0.03707233271256838, 'macd_lag_2': -0.04491692586224705, 'macd_lag_3': -0.06853067405746449, 'macd_lag_4': -0.06916450577156574, 'macd_lag_5': -0.07609474227833601, 'macd_12_26_9': -0.004179026983845535, 'macds_12_26_9': -0.047043147358765205}, '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': 3.759999990463257, '2022-07-13': 3.75, '2022-07-14': 3.799999952316284, '2022-07-15': 4.019999980926514, '2022-07-18': 4.03000020980835, '2022-07-19': 4.099999904632568, '2022-07-20': 4.199999809265137, '2022-07-21': 4.360000133514404, '2022-07-22': 4.150000095367432, '2022-07-25': 4.150000095367432}, '1_month_later': {'2022-08-11': 4.724999904632568}, '3_months_later': {'2022-10-11': 3.7799999713897705}, '6_months_later': {'2023-01-11': 4.21999979019165}, '12_months_later': {'2023-07-11': 3.900000095367432}}
|
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.
|
GNL
|
{'date': '2022-07-11', 'ticker': 'GNL', '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': 13.819000244140623, 'high': 14.029999732971191, 'open': 13.9399995803833, 'close': 13.93000030517578, 'ema_50': 14.159872981306286, 'rsi_14': 63.47825726399151, 'target': 14.220000267028809, 'volume': 502100.0, 'ema_200': 15.003765376051009, 'adj_close': 11.659607887268066, 'rsi_lag_1': 66.92913977105812, 'rsi_lag_2': 69.10569420871813, 'rsi_lag_3': 72.1611688342085, 'rsi_lag_4': 69.6113187327926, 'rsi_lag_5': 53.99448970675435, 'macd_lag_1': 0.06351147808695146, 'macd_lag_2': 0.09312836177944028, 'macd_lag_3': 0.07968479500721237, 'macd_lag_4': 0.06951231044971351, 'macd_lag_5': 0.050426504405873374, 'macd_12_26_9': 0.03958358940380968, 'macds_12_26_9': 0.034020386322177916}, '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': 14.220000267028809, '2022-07-13': 14.140000343322754, '2022-07-14': 14.109999656677246, '2022-07-15': 14.619999885559082, '2022-07-18': 14.520000457763672, '2022-07-19': 14.81999969482422, '2022-07-20': 14.960000038146973, '2022-07-21': 15.029999732971191, '2022-07-22': 14.970000267028809, '2022-07-25': 15.06999969482422}, '1_month_later': {'2022-08-11': 14.869999885559082}, '3_months_later': {'2022-10-11': 10.739999771118164}, '6_months_later': {'2023-01-11': 13.970000267028809}, '12_months_later': {'2023-07-11': 11.15999984741211}}
|
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.
|
GNLN
|
{'date': '2022-07-11', 'ticker': 'GNLN', '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': 41.20000076293945, 'high': 44.79999923706055, 'open': 44.400001525878906, 'close': 41.59999847412109, 'ema_50': 58.99845196495252, 'rsi_14': 43.055556291415286, 'target': 42.59999847412109, 'volume': 5857.0, 'ema_200': 199.409613136982, 'adj_close': 41.59999847412109, 'rsi_lag_1': 40.789476656187134, 'rsi_lag_2': 37.423312596281605, 'rsi_lag_3': 37.888200229426786, 'rsi_lag_4': 32.075474866842484, 'rsi_lag_5': 22.59886908239723, 'macd_lag_1': -5.258127805079262, 'macd_lag_2': -5.50200704483769, 'macd_lag_3': -5.71289273070515, 'macd_lag_4': -6.041508539946136, 'macd_lag_5': -6.1694289577054064, 'macd_12_26_9': -5.039041595879048, 'macds_12_26_9': -5.526218893589258}, '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': 42.59999847412109, '2022-07-13': 40.400001525878906, '2022-07-14': 40.0, '2022-07-15': 39.0, '2022-07-18': 38.20000076293945, '2022-07-19': 38.79999923706055, '2022-07-20': 39.20000076293945, '2022-07-21': 38.400001525878906, '2022-07-22': 34.79999923706055, '2022-07-25': 33.20000076293945}, '1_month_later': {'2022-08-11': 35.79999923706055}, '3_months_later': {'2022-10-11': 15.100000381469728}, '6_months_later': {'2023-01-11': 3.650000095367432}, '12_months_later': {'2023-07-11': 0.975000023841858}}
|
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.
|
GNPX
|
{'date': '2022-07-11', 'ticker': 'GNPX', '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': 1.399999976158142, 'high': 1.5, 'open': 1.4299999475479126, 'close': 1.4900000095367432, 'ema_50': 1.5108402541681565, 'rsi_14': 66.66666666666666, 'target': 1.4299999475479126, 'volume': 70100.0, 'ema_200': 2.0067224519536286, 'adj_close': 1.4900000095367432, 'rsi_lag_1': 63.26530215046203, 'rsi_lag_2': 55.55554819696017, 'rsi_lag_3': 60.34482297942921, 'rsi_lag_4': 60.34482297942921, 'rsi_lag_5': 46.87500465661037, 'macd_lag_1': -0.017669796336529764, 'macd_lag_2': -0.02159353081612525, 'macd_lag_3': -0.025269374256497112, 'macd_lag_4': -0.03061171346928182, 'macd_lag_5': -0.03698521968677371, 'macd_12_26_9': -0.009607950459258774, 'macds_12_26_9': -0.02888859470960318}, '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': 1.4299999475479126, '2022-07-13': 1.440000057220459, '2022-07-14': 1.4199999570846558, '2022-07-15': 1.440000057220459, '2022-07-18': 1.3899999856948853, '2022-07-19': 1.4199999570846558, '2022-07-20': 1.4700000286102295, '2022-07-21': 1.4800000190734863, '2022-07-22': 1.409999966621399, '2022-07-25': 1.3799999952316284}, '1_month_later': {'2022-08-11': 1.5}, '3_months_later': {'2022-10-11': 1.2899999618530271}, '6_months_later': {'2023-01-11': 1.350000023841858}, '12_months_later': {'2023-07-11': 0.8669999837875366}}
|
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.
|
GNRC
|
{'date': '2022-07-11', 'ticker': 'GNRC', '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/implied-iyj-analyst-target-price%3A-%24118', '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 iShares U.S. Industrials ETF (Symbol: IYJ), we found that the implied analyst target price for the ETF based upon its underlying holdings is $117.68 per unit.\nWith IYJ trading at a recent price near $89.67 per unit, that means that analysts see 31.24% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of IYJ's underlying holdings with notable upside to their analyst target prices are Generac Holdings Inc (Symbol: GNRC), Synchrony Financial (Symbol: SYF), and Capital One Financial Corp (Symbol: COF). Although GNRC has traded at a recent price of $230.56/share, the average analyst target is 70.68% higher at $393.53/share. Similarly, SYF has 55.71% upside from the recent share price of $29.68 if the average analyst target price of $46.21/share is reached, and analysts on average are expecting COF to reach a target price of $165.38/share, which is 52.26% above the recent price of $108.61. Below is a twelve month price history chart comparing the stock performance of GNRC, SYF, and COF:\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\niShares U.S. Industrials ETF IYJ $89.67 $117.68 31.24%\nGenerac Holdings Inc GNRC $230.56 $393.53 70.68%\nSynchrony Financial SYF $29.68 $46.21 55.71%\nCapital One Financial Corp COF $108.61 $165.38 52.26%\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': "Although GNRC has traded at a recent price of $230.56/share, the average analyst target is 70.68% higher at $393.53/share. iShares U.S. Industrials ETF IYJ $89.67 $117.68 31.24% Generac Holdings Inc GNRC $230.56 $393.53 70.68% Synchrony Financial SYF $29.68 $46.21 55.71% Capital One Financial Corp COF $108.61 $165.38 52.26% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of IYJ's underlying holdings with notable upside to their analyst target prices are Generac Holdings Inc (Symbol: GNRC), Synchrony Financial (Symbol: SYF), and Capital One Financial Corp (Symbol: COF).", 'news_luhn_summary': "Three of IYJ's underlying holdings with notable upside to their analyst target prices are Generac Holdings Inc (Symbol: GNRC), Synchrony Financial (Symbol: SYF), and Capital One Financial Corp (Symbol: COF). iShares U.S. Industrials ETF IYJ $89.67 $117.68 31.24% Generac Holdings Inc GNRC $230.56 $393.53 70.68% Synchrony Financial SYF $29.68 $46.21 55.71% Capital One Financial Corp COF $108.61 $165.38 52.26% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Although GNRC has traded at a recent price of $230.56/share, the average analyst target is 70.68% higher at $393.53/share.", 'news_article_title': 'Implied IYJ Analyst Target Price: $118', 'news_lexrank_summary': "iShares U.S. Industrials ETF IYJ $89.67 $117.68 31.24% Generac Holdings Inc GNRC $230.56 $393.53 70.68% Synchrony Financial SYF $29.68 $46.21 55.71% Capital One Financial Corp COF $108.61 $165.38 52.26% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of IYJ's underlying holdings with notable upside to their analyst target prices are Generac Holdings Inc (Symbol: GNRC), Synchrony Financial (Symbol: SYF), and Capital One Financial Corp (Symbol: COF). Although GNRC has traded at a recent price of $230.56/share, the average analyst target is 70.68% higher at $393.53/share.", 'news_textrank_summary': "Three of IYJ's underlying holdings with notable upside to their analyst target prices are Generac Holdings Inc (Symbol: GNRC), Synchrony Financial (Symbol: SYF), and Capital One Financial Corp (Symbol: COF). Although GNRC has traded at a recent price of $230.56/share, the average analyst target is 70.68% higher at $393.53/share. Below is a twelve month price history chart comparing the stock performance of GNRC, SYF, and COF: 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': 220.44000244140625, 'high': 228.88999938964844, 'open': 227.0599975585937, 'close': 222.8300018310547, 'ema_50': 239.77478182416954, 'rsi_14': 52.04827187697988, 'target': 219.32000732421875, 'volume': 514700.0, 'ema_200': 292.3701536422068, 'adj_close': 222.8300018310547, 'rsi_lag_1': 55.56873610147207, 'rsi_lag_2': 39.041666208554616, 'rsi_lag_3': 35.378730926503295, 'rsi_lag_4': 33.1190043336602, 'rsi_lag_5': 27.69042806800543, 'macd_lag_1': -6.3630658529691, 'macd_lag_2': -7.509526896705069, 'macd_lag_3': -8.836107257198165, 'macd_lag_4': -9.065944567796123, 'macd_lag_5': -9.177542353927748, 'macd_12_26_9': -6.00896565334466, 'macds_12_26_9': -6.975367790996623}, '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': 219.32000732421875, '2022-07-13': 218.5399932861328, '2022-07-14': 208.6000061035156, '2022-07-15': 215.0599975585937, '2022-07-18': 223.6999969482422, '2022-07-19': 230.5800018310547, '2022-07-20': 249.1999969482422, '2022-07-21': 249.8800048828125, '2022-07-22': 239.92999267578125, '2022-07-25': 238.5399932861328}, '1_month_later': {'2022-08-11': 266.3500061035156}, '3_months_later': {'2022-10-11': 152.05999755859375}, '6_months_later': {'2023-01-11': 111.68000030517578}, '12_months_later': {'2023-07-11': 147.49000549316406}}
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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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GNSS
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{'date': '2022-07-11', 'ticker': 'GNSS', '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': 3.150000095367432, 'high': 3.359999895095825, 'open': 3.259999990463257, 'close': 3.309999942779541, 'ema_50': 3.346734177399976, 'rsi_14': 51.66666534211879, 'target': 3.150000095367432, 'volume': 31200.0, 'ema_200': 3.7980177654588343, 'adj_close': 3.309999942779541, 'rsi_lag_1': 53.22580397066988, 'rsi_lag_2': 50.38167911145199, 'rsi_lag_3': 48.81889852471434, 'rsi_lag_4': 47.328246219836174, 'rsi_lag_5': 36.04650937137607, 'macd_lag_1': -0.04173877410311677, 'macd_lag_2': -0.03875863690053638, 'macd_lag_3': -0.03540931699967542, 'macd_lag_4': -0.01941933294191589, 'macd_lag_5': -0.0058551016501247055, 'macd_12_26_9': -0.04120482377657453, 'macds_12_26_9': -0.013804714124408826}, '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': 3.150000095367432, '2022-07-13': 2.940000057220459, '2022-07-14': 3.180000066757202, '2022-07-15': 3.2799999713897705, '2022-07-18': 3.259999990463257, '2022-07-19': 3.200000047683716, '2022-07-20': 3.200000047683716, '2022-07-21': 3.3299999237060547, '2022-07-22': 3.1700000762939453, '2022-07-25': 3.059999942779541}, '1_month_later': {'2022-08-11': 3.539999961853028}, '3_months_later': {'2022-10-11': 2.6700000762939453}, '6_months_later': {'2023-01-11': 4.099999904632568}, '12_months_later': {'2023-07-11': 2.9100000858306885}}
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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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GNT
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{'date': '2022-07-11', 'ticker': 'GNT', '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': 4.650000095367432, 'high': 4.659999847412109, 'open': 4.650000095367432, 'close': 4.650000095367432, 'ema_50': 5.051300510564874, 'rsi_14': 34.2857356947208, 'target': 4.610000133514404, 'volume': 21700.0, 'ema_200': 5.271948294904967, 'adj_close': 4.168544769287109, 'rsi_lag_1': 33.333355409119505, 'rsi_lag_2': 26.190488354680298, 'rsi_lag_3': 20.51284402548019, 'rsi_lag_4': 19.27712712235399, 'rsi_lag_5': 16.842125868846793, 'macd_lag_1': -0.1572541578820763, 'macd_lag_2': -0.1621437974562161, 'macd_lag_3': -0.16398993867351042, 'macd_lag_4': -0.15683368778644713, 'macd_lag_5': -0.14949121549328215, 'macd_12_26_9': -0.15322661358442868, 'macds_12_26_9': -0.14814874672267989}, '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': 4.610000133514404, '2022-07-13': 4.619999885559082, '2022-07-14': 4.5, '2022-07-15': 4.510000228881836, '2022-07-18': 4.539999961853027, '2022-07-19': 4.579999923706055, '2022-07-20': 4.550000190734863, '2022-07-21': 4.590000152587891, '2022-07-22': 4.570000171661377, '2022-07-25': 4.539999961853027}, '1_month_later': {'2022-08-11': 4.900000095367432}, '3_months_later': {'2022-10-11': 4.369999885559082}, '6_months_later': {'2023-01-11': 5.289999961853027}, '12_months_later': {'2023-07-11': 5.050000190734863}}
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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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GNTX
|
{'date': '2022-07-11', 'ticker': 'GNTX', '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': 27.93000030517578, 'high': 28.459999084472656, 'open': 28.34000015258789, 'close': 28.01000022888184, 'ema_50': 28.954789089307862, 'rsi_14': 60.774408666163865, 'target': 28.299999237060547, 'volume': 670500.0, 'ema_200': 30.761022226624508, 'adj_close': 27.419469833374023, 'rsi_lag_1': 69.08460517256714, 'rsi_lag_2': 51.67958726374699, 'rsi_lag_3': 48.19944517841231, 'rsi_lag_4': 46.963571194151804, 'rsi_lag_5': 42.07981202358099, 'macd_lag_1': -0.3009395793209144, 'macd_lag_2': -0.3440771592134233, 'macd_lag_3': -0.40024086960456273, 'macd_lag_4': -0.3815954187140278, 'macd_lag_5': -0.3858465566279783, 'macd_12_26_9': -0.3067896631992113, 'macds_12_26_9': -0.35312015543527175}, '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': 28.299999237060547, '2022-07-13': 27.81999969482422, '2022-07-14': 27.479999542236328, '2022-07-15': 27.979999542236328, '2022-07-18': 27.850000381469727, '2022-07-19': 28.86000061035156, '2022-07-20': 29.43000030517578, '2022-07-21': 29.65999984741211, '2022-07-22': 27.280000686645508, '2022-07-25': 27.450000762939453}, '1_month_later': {'2022-08-11': 28.540000915527344}, '3_months_later': {'2022-10-11': 24.270000457763672}, '6_months_later': {'2023-01-11': 28.280000686645508}, '12_months_later': {'2023-07-11': 30.3700008392334}}
|
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.
|
GNTY
|
{'date': '2022-07-11', 'ticker': 'GNTY', '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/guaranty-bancshares-inc.-gnty-earnings-expected-to-grow%3A-should-you-buy', 'news_author': None, 'news_article': 'The market expects Guaranty Bancshares Inc. (GNTY) to deliver a year-over-year increase in earnings on higher revenues when it reports results for the quarter ended June 2022. This widely-known consensus outlook is important in assessing the company\'s earnings picture, but a powerful factor that might influence its near-term stock price is how the actual results compare to these estimates.\nThe stock might move higher if these key numbers top expectations in the upcoming earnings report, which is expected to be released on July 18. On the other hand, if they miss, the stock may move lower.\nWhile the sustainability of the immediate price change and future earnings expectations will mostly depend on management\'s discussion of business conditions on theearnings call it\'s worth handicapping the probability of a positive EPS surprise.\nZacks Consensus Estimate\nThis company is expected to post quarterly earnings of $0.79 per share in its upcoming report, which represents a year-over-year change of +2.6%.\nRevenues are expected to be $31.2 million, up 5.9% from the year-ago quarter.\nEstimate Revisions Trend\nThe consensus EPS estimate for the quarter has been revised 1.23% higher over the last 30 days to the current level. This is essentially a reflection of how the covering analysts have collectively reassessed their initial estimates over this period.\nInvestors should keep in mind that an aggregate change may not always reflect the direction of estimate revisions by each of the covering analysts.\nEarnings Whisper\nEstimate revisions ahead of a company\'s earnings release offer clues to the business conditions for the period whose results are coming out. Our proprietary surprise prediction model -- the Zacks Earnings ESP (Expected Surprise Prediction) -- has this insight at its core.\nThe Zacks Earnings ESP compares the Most Accurate Estimate to the Zacks Consensus Estimate for the quarter; the Most Accurate Estimate is a more recent version of the Zacks Consensus EPS estimate. The idea here is that analysts revising their estimates right before an earnings release have the latest information, which could potentially be more accurate than what they and others contributing to the consensus had predicted earlier.\nThus, a positive or negative Earnings ESP reading theoretically indicates the likely deviation of the actual earnings from the consensus estimate. However, the model\'s predictive power is significant for positive ESP readings only.\nA positive Earnings ESP is a strong predictor of an earnings beat, particularly when combined with a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold). Our research shows that stocks with this combination produce a positive surprise nearly 70% of the time, and a solid Zacks Rank actually increases the predictive power of Earnings ESP.\nPlease note that a negative Earnings ESP reading is not indicative of an earnings miss. Our research shows that it is difficult to predict an earnings beat with any degree of confidence for stocks with negative Earnings ESP readings and/or Zacks Rank of 4 (Sell) or 5 (Strong Sell).\nHow Have the Numbers Shaped Up for Guaranty Bancshares Inc.\nFor Guaranty Bancshares Inc.The Most Accurate Estimate is higher than the Zacks Consensus Estimate, suggesting that analysts have recently become bullish on the company\'s earnings prospects. This has resulted in an Earnings ESP of +1.91%.\nOn the other hand, the stock currently carries a Zacks Rank of #3.\nSo, this combination indicates that Guaranty Bancshares Inc. Will most likely beat the consensus EPS estimate.\nDoes Earnings Surprise History Hold Any Clue?\nWhile calculating estimates for a company\'s future earnings, analysts often consider to what extent it has been able to match past consensus estimates. So, it\'s worth taking a look at the surprise history for gauging its influence on the upcoming number.\nFor the last reported quarter, it was expected that Guaranty Bancshares Inc. Would post earnings of $0.71 per share when it actually produced earnings of $0.90, delivering a surprise of +26.76%.\nOver the last four quarters, the company has beaten consensus EPS estimates four times.\nBottom Line\nAn earnings beat or miss may not be the sole basis for a stock moving higher or lower. Many stocks end up losing ground despite an earnings beat due to other factors that disappoint investors. Similarly, unforeseen catalysts help a number of stocks gain despite an earnings miss.\nThat said, betting on stocks that are expected to beat earnings expectations does increase the odds of success. This is why it\'s worth checking a company\'s Earnings ESP and Zacks Rank ahead of its quarterly release. Make sure to utilize our Earnings ESP Filter to uncover the best stocks to buy or sell before they\'ve reported.\nGuaranty Bancshares Inc. Appears a compelling earnings-beat candidate. However, investors should pay attention to other factors too for betting on this stock or staying away from it ahead of its earnings release.\nStay on top of upcoming earnings announcements with the Zacks Earnings Calendar.\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 \nGuaranty Bancshares Inc. (GNTY): 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': "The market expects Guaranty Bancshares Inc. (GNTY) to deliver a year-over-year increase in earnings on higher revenues when it reports results for the quarter ended June 2022. Guaranty Bancshares Inc. (GNTY): Free Stock Analysis Report This widely-known consensus outlook is important in assessing the company's earnings picture, but a powerful factor that might influence its near-term stock price is how the actual results compare to these estimates.", 'news_luhn_summary': 'The market expects Guaranty Bancshares Inc. (GNTY) to deliver a year-over-year increase in earnings on higher revenues when it reports results for the quarter ended June 2022. Guaranty Bancshares Inc. (GNTY): Free Stock Analysis Report The Zacks Earnings ESP compares the Most Accurate Estimate to the Zacks Consensus Estimate for the quarter; the Most Accurate Estimate is a more recent version of the Zacks Consensus EPS estimate.', 'news_article_title': 'Guaranty Bancshares Inc. (GNTY) Earnings Expected to Grow: Should You Buy?', 'news_lexrank_summary': 'The market expects Guaranty Bancshares Inc. (GNTY) to deliver a year-over-year increase in earnings on higher revenues when it reports results for the quarter ended June 2022. Guaranty Bancshares Inc. (GNTY): Free Stock Analysis Report The stock might move higher if these key numbers top expectations in the upcoming earnings report, which is expected to be released on July 18.', 'news_textrank_summary': 'The market expects Guaranty Bancshares Inc. (GNTY) to deliver a year-over-year increase in earnings on higher revenues when it reports results for the quarter ended June 2022. Guaranty Bancshares Inc. (GNTY): Free Stock Analysis Report The Zacks Earnings ESP compares the Most Accurate Estimate to the Zacks Consensus Estimate for the quarter; the Most Accurate Estimate is a more recent version of the Zacks Consensus EPS estimate.'}], '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': 35.939998626708984, 'high': 36.33000183105469, 'open': 36.09000015258789, 'close': 36.130001068115234, 'ema_50': 35.83826529016922, 'rsi_14': 63.7362660395471, 'target': 35.86000061035156, 'volume': 11500.0, 'ema_200': 35.75561686060664, 'adj_close': 34.56068420410156, 'rsi_lag_1': 54.137101981480136, 'rsi_lag_2': 48.12206677871971, 'rsi_lag_3': 64.38922218115295, 'rsi_lag_4': 67.18447810103545, 'rsi_lag_5': 66.03054379842084, 'macd_lag_1': 0.13454844997929882, 'macd_lag_2': 0.1461380263723271, 'macd_lag_3': 0.18324104235053795, 'macd_lag_4': 0.17804196690838126, 'macd_lag_5': 0.16576154516413766, 'macd_12_26_9': 0.12632835118680674, 'macds_12_26_9': 0.13653065780143478}, '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': 35.86000061035156, '2022-07-13': 36.119998931884766, '2022-07-14': 35.099998474121094, '2022-07-15': 36.34999847412109, '2022-07-18': 36.369998931884766, '2022-07-19': 36.27000045776367, '2022-07-20': 36.95000076293945, '2022-07-21': 36.29999923706055, '2022-07-22': 36.27999877929688, '2022-07-25': 36.91999816894531}, '1_month_later': {'2022-08-11': 36.65999984741211}, '3_months_later': {'2022-10-11': 35.09000015258789}, '6_months_later': {'2023-01-11': 35.209999084472656}, '12_months_later': {'2023-07-11': 26.739999771118164}}
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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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GOAU
|
{'date': '2022-07-11', 'ticker': 'GOAU', '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': 13.84000015258789, 'high': 14.069000244140623, 'open': 13.890000343322754, 'close': 13.949999809265137, 'ema_50': 16.456224878790227, 'rsi_14': 29.85988833990899, 'target': 13.6899995803833, 'volume': 21800.0, 'ema_200': 18.16318201475034, 'adj_close': 13.73692798614502, 'rsi_lag_1': 29.282946506189475, 'rsi_lag_2': 32.8767058211546, 'rsi_lag_3': 31.887108103238674, 'rsi_lag_4': 30.47504235193621, 'rsi_lag_5': 28.01109614482722, 'macd_lag_1': -0.8098280679629593, 'macd_lag_2': -0.81806394051398, 'macd_lag_3': -0.8227858334221274, 'macd_lag_4': -0.7771358631199963, 'macd_lag_5': -0.7299661338410086, 'macd_12_26_9': -0.8116965302234256, 'macds_12_26_9': -0.762403886468828}, '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': 13.6899995803833, '2022-07-13': 13.949999809265137, '2022-07-14': 13.420000076293944, '2022-07-15': 13.399999618530272, '2022-07-18': 13.489999771118164, '2022-07-19': 13.56999969482422, '2022-07-20': 13.260000228881836, '2022-07-21': 13.609999656677246, '2022-07-22': 13.52299976348877, '2022-07-25': 13.289999961853027}, '1_month_later': {'2022-08-11': 14.619999885559082}, '3_months_later': {'2022-10-11': 12.630000114440918}, '6_months_later': {'2023-01-11': 17.26799964904785}, '12_months_later': {'2023-07-11': 16.700000762939453}}
|
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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GOEX
|
{'date': '2022-07-11', 'ticker': 'GOEX', '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': 21.34000015258789, 'high': 21.450000762939453, 'open': 21.34000015258789, 'close': 21.34000015258789, 'ema_50': 26.25160411694432, 'rsi_14': 23.950635017254427, 'target': 21.11000061035156, 'volume': 2600.0, 'ema_200': 29.073084979797244, 'adj_close': 21.152257919311523, 'rsi_lag_1': 23.891641988987658, 'rsi_lag_2': 26.38555581829459, 'rsi_lag_3': 27.001205252247303, 'rsi_lag_4': 26.157422431206328, 'rsi_lag_5': 22.897680553072874, 'macd_lag_1': -1.6129701099608518, 'macd_lag_2': -1.6130747862190802, 'macd_lag_3': -1.5968727268621556, 'macd_lag_4': -1.509183918547059, 'macd_lag_5': -1.4119639538090816, 'macd_12_26_9': -1.6343927127789115, 'macds_12_26_9': -1.4601020093527293}, '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': 21.11000061035156, '2022-07-13': 21.729999542236328, '2022-07-14': 21.01000022888184, '2022-07-15': 20.8700008392334, '2022-07-18': 21.14999961853028, '2022-07-19': 21.790000915527344, '2022-07-20': 21.40999984741211, '2022-07-21': 21.940000534057617, '2022-07-22': 21.799999237060547, '2022-07-25': 21.75}, '1_month_later': {'2022-08-11': 24.170000076293945}, '3_months_later': {'2022-10-11': 20.43000030517578}, '6_months_later': {'2023-01-11': 27.39999961853028}, '12_months_later': {'2023-07-11': 25.25}}
|
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.
|
GNK
|
{'date': '2022-07-11', 'ticker': 'GNK', '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/genco-shipping-trading-gnk-dips-more-than-broader-markets%3A-what-you-should-know-3', 'news_author': None, 'news_article': 'Genco Shipping & Trading (GNK) closed at $16.63 in the latest trading session, marking a -1.66% move from the prior day. This change lagged the S&P 500\'s daily loss of 1.15%. At the same time, the Dow lost 0.52%, and the tech-heavy Nasdaq lost 0.34%.\nHeading into today, shares of the transporter of drybulk cargo had lost 24.27% over the past month, lagging the Transportation sector\'s loss of 5.79% and the S&P 500\'s loss of 5.08% in that time.\nWall Street will be looking for positivity from Genco Shipping & Trading as it approaches its next earnings report date. In that report, analysts expect Genco Shipping & Trading to post earnings of $1.08 per share. This would mark year-over-year growth of 44%. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $102.83 million, up 21.97% from the year-ago period.\nFor the full year, our Zacks Consensus Estimates are projecting earnings of $4.62 per share and revenue of $429.29 million, which would represent changes of +8.96% and +7.07%, respectively, from the prior year.\nInvestors should also note any recent changes to analyst estimates for Genco Shipping & Trading. These recent revisions tend to reflect the evolving nature of short-term business trends. As such, positive estimate revisions reflect analyst optimism about the company\'s business and profitability.\nResearch indicates that these estimate revisions are directly correlated with near-term share price momentum. To benefit from this, we have developed the Zacks Rank, a proprietary model which takes these estimate changes into account and provides an actionable rating system.\nRanging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. The Zacks Consensus EPS estimate has moved 2.34% lower within the past month. Genco Shipping & Trading is holding a Zacks Rank of #3 (Hold) right now.\nIn terms of valuation, Genco Shipping & Trading is currently trading at a Forward P/E ratio of 3.66. This valuation marks a premium compared to its industry\'s average Forward P/E of 2.97.\nThe Transportation - Shipping industry is part of the Transportation sector. This industry currently has a Zacks Industry Rank of 28, which puts it in the top 12% of all 250+ industries.\nThe Zacks Industry Rank includes is listed in order from best to worst in terms of the average Zacks Rank of the individual companies within each of these sectors. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nMake sure to utilize Zacks.com to follow all of these stock-moving metrics, and more, in the coming trading sessions.\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 \nGenco Shipping & Trading Limited (GNK): 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': 'Genco Shipping & Trading (GNK) closed at $16.63 in the latest trading session, marking a -1.66% move from the prior day. Genco Shipping & Trading Limited (GNK): Free Stock Analysis Report Wall Street will be looking for positivity from Genco Shipping & Trading as it approaches its next earnings report date.', 'news_luhn_summary': 'Genco Shipping & Trading (GNK) closed at $16.63 in the latest trading session, marking a -1.66% move from the prior day. Genco Shipping & Trading Limited (GNK): Free Stock Analysis Report For the full year, our Zacks Consensus Estimates are projecting earnings of $4.62 per share and revenue of $429.29 million, which would represent changes of +8.96% and +7.07%, respectively, from the prior year.', 'news_article_title': 'Genco Shipping & Trading (GNK) Dips More Than Broader Markets: What You Should Know', 'news_lexrank_summary': "Genco Shipping & Trading (GNK) closed at $16.63 in the latest trading session, marking a -1.66% move from the prior day. Genco Shipping & Trading Limited (GNK): Free Stock Analysis Report Heading into today, shares of the transporter of drybulk cargo had lost 24.27% over the past month, lagging the Transportation sector's loss of 5.79% and the S&P 500's loss of 5.08% in that time.", 'news_textrank_summary': 'Genco Shipping & Trading (GNK) closed at $16.63 in the latest trading session, marking a -1.66% move from the prior day. Genco Shipping & Trading Limited (GNK): Free Stock Analysis Report Genco Shipping & Trading is holding a Zacks Rank of #3 (Hold) right now.'}], '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': 16.559999465942383, 'high': 17.040000915527344, 'open': 16.770000457763672, 'close': 16.6299991607666, 'ema_50': 20.774538167585014, 'rsi_14': 25.67047129815755, 'target': 16.190000534057617, 'volume': 567800.0, 'ema_200': 19.41930380103539, 'adj_close': 14.49679470062256, 'rsi_lag_1': 27.676222590246212, 'rsi_lag_2': 25.41964556681799, 'rsi_lag_3': 20.97988896157267, 'rsi_lag_4': 26.95033964355008, 'rsi_lag_5': 23.661256570618235, 'macd_lag_1': -1.5387894175097472, 'macd_lag_2': -1.5072607578362174, 'macd_lag_3': -1.4501857616941898, 'macd_lag_4': -1.3104256356972037, 'macd_lag_5': -1.2290528216696615, 'macd_12_26_9': -1.5682915342227268, 'macds_12_26_9': -1.3358094695012526}, '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': 16.190000534057617, '2022-07-13': 16.31999969482422, '2022-07-14': 16.3700008392334, '2022-07-15': 17.020000457763672, '2022-07-18': 17.739999771118164, '2022-07-19': 18.700000762939453, '2022-07-20': 18.809999465942383, '2022-07-21': 19.11000061035156, '2022-07-22': 18.489999771118164, '2022-07-25': 18.600000381469727}, '1_month_later': {'2022-08-11': 17.479999542236328}, '3_months_later': {'2022-10-11': 13.529999732971191}, '6_months_later': {'2023-01-11': 15.779999732971191}, '12_months_later': {'2023-07-11': 13.630000114440918}}
|
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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GLQ
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{'date': '2022-07-11', 'ticker': 'GLQ', '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': 9.149999618530272, 'high': 9.25, 'open': 9.15999984741211, 'close': 9.149999618530272, 'ema_50': 9.574132845247734, 'rsi_14': 78.26081848632755, 'target': 9.220000267028809, 'volume': 37000.0, 'ema_200': 11.58867800406543, 'adj_close': 7.426349639892578, 'rsi_lag_1': 83.21165291845054, 'rsi_lag_2': 53.658550201178706, 'rsi_lag_3': 52.26131062661687, 'rsi_lag_4': 54.73682361296896, 'rsi_lag_5': 38.91049601813243, 'macd_lag_1': -0.11798755442652009, 'macd_lag_2': -0.14020494558249652, 'macd_lag_3': -0.16245034769716327, 'macd_lag_4': -0.1782987988619169, 'macd_lag_5': -0.21120643697910957, 'macd_12_26_9': -0.1048202762850945, 'macds_12_26_9': -0.18267219020888723}, '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': 9.220000267028809, '2022-07-13': 9.210000038146973, '2022-07-14': 9.170000076293944, '2022-07-15': 9.270000457763672, '2022-07-18': 9.010000228881836, '2022-07-19': 9.0600004196167, '2022-07-20': 9.039999961853027, '2022-07-21': 9.09000015258789, '2022-07-22': 9.0600004196167, '2022-07-25': 9.0600004196167}, '1_month_later': {'2022-08-11': 9.75}, '3_months_later': {'2022-10-11': 6.820000171661377}, '6_months_later': {'2023-01-11': 6.489999771118164}, '12_months_later': {'2023-07-11': 6.239999771118164}}
|
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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GLPI
|
{'date': '2022-07-11', 'ticker': 'GLPI', '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': 46.90999984741211, 'high': 47.810001373291016, 'open': 47.470001220703125, 'close': 47.75, 'ema_50': 45.95455727991721, 'rsi_14': 75.85714931877644, 'target': 47.86000061035156, 'volume': 1415900.0, 'ema_200': 45.755714827283164, 'adj_close': 43.57719421386719, 'rsi_lag_1': 75.78798370282524, 'rsi_lag_2': 65.38934884234129, 'rsi_lag_3': 68.74998935632138, 'rsi_lag_4': 66.96427811165813, 'rsi_lag_5': 53.57142248932651, 'macd_lag_1': 0.3577461998523219, 'macd_lag_2': 0.3134668541061387, 'macd_lag_3': 0.24017271641120175, 'macd_lag_4': 0.21338372859766253, 'macd_lag_5': 0.19237836892713034, 'macd_12_26_9': 0.4322356981955835, 'macds_12_26_9': 0.2493532993774072}, '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': 47.86000061035156, '2022-07-13': 47.88999938964844, '2022-07-14': 48.060001373291016, '2022-07-15': 49.83000183105469, '2022-07-18': 49.43999862670898, '2022-07-19': 50.790000915527344, '2022-07-20': 50.41999816894531, '2022-07-21': 50.43000030517578, '2022-07-22': 50.79999923706055, '2022-07-25': 51.18999862670898}, '1_month_later': {'2022-08-11': 51.4900016784668}, '3_months_later': {'2022-10-11': 46.70000076293945}, '6_months_later': {'2023-01-11': 52.97999954223633}, '12_months_later': {'2023-07-11': 48.630001068115234}}
|
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.
|
GGAL
|
{'date': '2022-07-11', 'ticker': 'GGAL', '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': 6.440000057220459, 'high': 6.699999809265137, 'open': 6.630000114440918, 'close': 6.559999942779541, 'ema_50': 8.081329414057537, 'rsi_14': 23.353291019498073, 'target': 6.489999771118164, 'volume': 526800.0, 'ema_200': 9.103459700922395, 'adj_close': 5.981623649597168, 'rsi_lag_1': 29.268275663152806, 'rsi_lag_2': 26.966277687038783, 'rsi_lag_3': 34.67335804420976, 'rsi_lag_4': 40.104174039638586, 'rsi_lag_5': 34.68467965353274, 'macd_lag_1': -0.5030114883860319, 'macd_lag_2': -0.5076210404535288, 'macd_lag_3': -0.5071391314446902, 'macd_lag_4': -0.4991474711251218, 'macd_lag_5': -0.4969596166291925, 'macd_12_26_9': -0.5032403317579641, 'macds_12_26_9': -0.5023604802232821}, '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': 6.489999771118164, '2022-07-13': 6.320000171661377, '2022-07-14': 6.139999866485596, '2022-07-15': 6.289999961853027, '2022-07-18': 6.409999847412109, '2022-07-19': 6.329999923706055, '2022-07-20': 5.989999771118164, '2022-07-21': 5.929999828338623, '2022-07-22': 6.159999847412109, '2022-07-25': 6.460000038146973}, '1_month_later': {'2022-08-11': 7.849999904632568}, '3_months_later': {'2022-10-11': 7.480000019073486}, '6_months_later': {'2023-01-11': 12.390000343322754}, '12_months_later': {'2023-07-11': 16.329999923706055}}
|
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.
|
GGG
|
{'date': '2022-07-11', 'ticker': 'GGG', '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': 59.65999984741211, 'high': 60.369998931884766, 'open': 59.86000061035156, 'close': 59.869998931884766, 'ema_50': 61.63851903971673, 'rsi_14': 65.62149046645692, 'target': 58.97999954223633, 'volume': 426100.0, 'ema_200': 67.72497440874604, 'adj_close': 58.70799255371094, 'rsi_lag_1': 68.72147958026129, 'rsi_lag_2': 63.771174797142216, 'rsi_lag_3': 61.616155129245826, 'rsi_lag_4': 58.52877207480382, 'rsi_lag_5': 43.32724516154228, 'macd_lag_1': -0.33543158556876307, 'macd_lag_2': -0.3786785545398672, 'macd_lag_3': -0.5403692060529295, 'macd_lag_4': -0.6197582719671288, 'macd_lag_5': -0.7242909961154638, 'macd_12_26_9': -0.3240509828912721, 'macds_12_26_9': -0.5664929888729294}, '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': 58.97999954223633, '2022-07-13': 58.75, '2022-07-14': 57.900001525878906, '2022-07-15': 58.79999923706055, '2022-07-18': 58.43000030517578, '2022-07-19': 60.720001220703125, '2022-07-20': 60.93999862670898, '2022-07-21': 62.0, '2022-07-22': 61.79999923706055, '2022-07-25': 62.08000183105469}, '1_month_later': {'2022-08-11': 68.63999938964844}, '3_months_later': {'2022-10-11': 60.709999084472656}, '6_months_later': {'2023-01-11': 70.36000061035156}, '12_months_later': {'2023-07-11': 85.58999633789062}}
|
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.
|
GHG
|
{'date': '2022-07-11', 'ticker': 'GHG', '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': 3.700000047683716, 'high': 4.118000030517578, 'open': 3.910000085830689, 'close': 3.859999895095825, 'ema_50': 4.111981436335021, 'rsi_14': 57.57575932722596, 'target': 3.920000076293945, 'volume': 29100.0, 'ema_200': 6.060682314269151, 'adj_close': 3.859999895095825, 'rsi_lag_1': 64.18920649587834, 'rsi_lag_2': 58.49057594001807, 'rsi_lag_3': 59.45946618818909, 'rsi_lag_4': 56.061509482112605, 'rsi_lag_5': 51.633985824738915, 'macd_lag_1': -0.0029315892618018147, 'macd_lag_2': -0.00990940359756598, 'macd_lag_3': -0.01663513360309432, 'macd_lag_4': -0.013777631636275434, 'macd_lag_5': -0.007893656425945306, 'macd_12_26_9': -0.010992510950031509, 'macds_12_26_9': -0.022397311891015747}, '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': 3.920000076293945, '2022-07-13': 3.9700000286102295, '2022-07-14': 3.950000047683716, '2022-07-15': 4.039999961853027, '2022-07-18': 4.070000171661377, '2022-07-19': 4.059999942779541, '2022-07-20': 4.099999904632568, '2022-07-21': 4.059999942779541, '2022-07-22': 3.9800000190734863, '2022-07-25': 4.050000190734863}, '1_month_later': {'2022-08-11': 4.019999980926514}, '3_months_later': {'2022-10-11': 2.9800000190734863}, '6_months_later': {'2023-01-11': 3.869999885559082}, '12_months_later': {'2023-07-11': 5.269999980926514}}
|
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.
|
GHL
|
{'date': '2022-07-11', 'ticker': 'GHL', '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': 7.78000020980835, 'high': 8.420000076293945, 'open': 8.279999732971191, 'close': 8.25, 'ema_50': 11.02002996577122, 'rsi_14': 36.211036001319165, 'target': 8.229999542236328, 'volume': 483384.0, 'ema_200': 14.157922417216524, 'adj_close': 7.882179260253906, 'rsi_lag_1': 36.829270448520006, 'rsi_lag_2': 37.56219047103916, 'rsi_lag_3': 33.06666056315109, 'rsi_lag_4': 38.23529486762672, 'rsi_lag_5': 29.52587190266607, 'macd_lag_1': -0.7773491363692013, 'macd_lag_2': -0.7528660217093641, 'macd_lag_3': -0.7748112550512722, 'macd_lag_4': -0.7589695838793666, 'macd_lag_5': -0.7480739102159788, 'macd_12_26_9': -0.7956496226003456, 'macds_12_26_9': -0.7593855208829893}, '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': 8.229999542236328, '2022-07-13': 8.199999809265137, '2022-07-14': 8.300000190734863, '2022-07-15': 8.479999542236328, '2022-07-18': 8.25, '2022-07-19': 8.5600004196167, '2022-07-20': 8.520000457763672, '2022-07-21': 8.359999656677246, '2022-07-22': 8.319999694824219, '2022-07-25': 8.210000038146973}, '1_month_later': {'2022-08-11': 9.010000228881836}, '3_months_later': {'2022-10-11': 6.050000190734863}, '6_months_later': {'2023-01-11': 12.699999809265137}, '12_months_later': {'2023-07-11': 14.739999771118164}}
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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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GII
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{'date': '2022-07-11', 'ticker': 'GII', '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': 52.58000183105469, 'high': 52.959999084472656, 'open': 52.66999816894531, 'close': 52.84000015258789, 'ema_50': 54.96533954868909, 'rsi_14': 56.788324907584055, 'target': 52.380001068115234, 'volume': 13200.0, 'ema_200': 54.85003750378225, 'adj_close': 50.08627700805664, 'rsi_lag_1': 57.80088639286622, 'rsi_lag_2': 49.11392722904039, 'rsi_lag_3': 49.049443629234425, 'rsi_lag_4': 45.3161418852822, 'rsi_lag_5': 43.143794930068154, 'macd_lag_1': -0.7930105914508729, 'macd_lag_2': -0.8248523697383163, 'macd_lag_3': -0.8524778056855311, 'macd_lag_4': -0.8274839490548729, 'macd_lag_5': -0.7967826531353239, 'macd_12_26_9': -0.7821601476899502, 'macds_12_26_9': -0.8462098831060676}, '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': 52.380001068115234, '2022-07-13': 52.400001525878906, '2022-07-14': 52.20000076293945, '2022-07-15': 52.65999984741211, '2022-07-18': 52.77999877929688, '2022-07-19': 53.68999862670898, '2022-07-20': 53.060001373291016, '2022-07-21': 53.130001068115234, '2022-07-22': 53.369998931884766, '2022-07-25': 54.06999969482422}, '1_month_later': {'2022-08-11': 56.45000076293945}, '3_months_later': {'2022-10-11': 47.16999816894531}, '6_months_later': {'2023-01-11': 54.720001220703125}, '12_months_later': {'2023-07-11': 53.459999084472656}}
|
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.
|
GIII
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{'date': '2022-07-11', 'ticker': 'GIII', '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/can-whirlpools-whr-cost-based-pricing-actions-aid-stock', 'news_author': None, 'news_article': 'Whirlpool Corporation WHR has been on track with its cost-based pricing actions to offset raw material inflation, which has been aiding the bottom line. Driven by the cost-based pricing efforts and strong demand, the company delivered the 15th straight quarter of earnings beat in first-quarter 2022. Backed by these actions, the company looks poised to navigate the industry’s ongoing challenges and deliver strong performance in the forthcoming periods.\n\nHowever, we cannot ignore the inflationary pressures, which are likely to continue through 2022. The company expects inflationary pressures to significantly hurt its performance in 2022.\n\nAlthough Whirlpool’s shares have lost 7.9% in the past three months, it fared better than the industry’s decline of 9.8%. The stock performance also compared favorably with the sector’s 19.1% decline and S&P 500’s 11.2% fall.\n\nThe Zacks Consensus Estimate for the Zacks Rank #3 (Hold) company’s current financial year’s sales suggests growth of 0.7% from the year-ago period’s reported number, while earnings estimates indicate a decline of 6.5%.\n \nImage Source: Zacks Investment Research\n Cost-Based Pricing Efforts\nWhirlpool is on track with early and decisive actions to protect margins and productivity amid the ongoing supply-chain constraints and significant inflationary pressures. It has implemented cost takeout actions, including curtailing structural and discretionary costs, capturing raw material deflation opportunities, effectively managing working capital, and syncing supply chain and labor levels with demand. It announced significant cost-based price increases of 5-18% in various countries across the globe.\n\nPrice/mix aided the EBIT margin by 600 basis points (bps) in the first quarter, led by the execution of the pricing actions announced in 2021. Segment-wise, the company generated strong margin growth of more than 16% in North America, driven by gains from cost-based pricing actions, which are likely to mostly offset inflation and operational efficiencies related to producing in a heavily constrained environment. Despite the ongoing inflation, the EBIT margin grew 7.1% in Latin America. Also, the EBIT margin rose 4.8% on cost-based pricing actions, partly offset by a decline in revenues and inflation.\n\nManagement expects EBIT margins of 9.5% for 2022. The price mix of 725 bps is likely to aid the EBIT margin, driven by an increase of 125 bps, stemming from additional price increases. Segment-wise, the EBIT margin in North America is anticipated to grow 16%, while the metric is likely to remain flat year over year. In Latin America and Asia, EBIT margins are expected to rise 7% and 6%, respectively.\nFinancial Flexibility\nWhirlpool looks financially stable, with no current maturities of long-term debt, and enough cash and cash equivalents to meet any obligations. The company expects capital investments of $700 million for 2022, as it continues to invest in products and fund organic growth. As part of its long-term value creation goals, the company expected an adjusted free cash flow, as a percentage of net sales, of 7-8% annually. Return on invested capital is expected to be 15-16% year over year on a long-term basis.\n\nWhirlpool regularly returns value through higher dividends and share buybacks, and reinvests greatly in its business. In the first quarter, it bought back $533 million of shares and raised the share repurchase authorization by $2 billion. Whirlpool had $2.9 billion available for buybacks. Driven by the strong balance sheet and cash flow projections, the company expects to return $1.5 billion to shareholders in 2022 through dividend payouts and share repurchases.\n\nWhirlpool recently announced its 10th straight quarterly dividend hike. It will now pay $1.75 per share, suggesting a 25% rise from the prior dividend rate of $1.40. The increased dividend will be paid out on Mar 15 to shareholders of record as of Feb 25.\nSupply-Chain Woes to Hurt\nWhirlpool, like others in the industry, has been witnessing pressures related to global supply-chain disruptions and rising raw material costs. Supply-chain disruptions have resulted in higher freight costs. All these factors marred the company’s margin performance across most regions in first-quarter 2022. The adjusted EBIT margin of 9.4% fell 300 bps year over year due to higher inflation of $400 million.\n\nSegment-wise, the EBIT margin contracted 360 bps in North America, 30 bps in Asia and 140 bps in Latin America, affected by inflation and supply-chain headwinds, somewhat offset by cost-based price increases. The EMEA segment reported an EBIT loss of $27 million against an EBIT of $21 million.\n\nThe company expects the inefficiencies across the supply chain, particularly in distribution and labor, to continue. It also continues to monitor the global cost inflation, largely in steel and resins, which is likely to remain a headwind. The company expects inflationary pressures to significantly impact the 2022 results.\n\nWhirlpool anticipates net cost takeout to negatively impact margins by 250 bps in 2022, as a result of increased logistics and labor costs stemming from the Russia-Ukraine conflict. Management expects raw material inflation to hurt its margin by 700 bps and its business by $1.5-$1.75 billion in 2022, led by higher component and resin costs.\nLooking for Better-Ranked Stocks? Check These\nWe have highlighted three better-ranked companies in the same industry, namely GIII Apparel Group GIII, Oxford Industries OXM and lululemon athletica LULU.\n\nGIII Apparel currently flaunts a Zacks Rank #1 (Strong Buy). GIII has a trailing four-quarter earnings surprise of 97.5%, on average. Shares of GIII have declined 26.4% in the past three months. You can see the complete list of today’s Zacks #1 Rank stocks here.\n\nThe Zacks Consensus Estimate for GIII Apparel\'s current financial-year sales and earnings suggests growth of 12.9% and 10.4%, respectively, from the year-ago period\'s reported figures.\n\nOxford Industries currently sports a Zacks Rank of 1. OXM has a trailing four-quarter earnings surprise of 99.7%, on average. Shares of OXM have declined 2.8% in the past three months.\n\nThe Zacks Consensus Estimate for Oxford Industries’ current financial year’s sales and EPS suggests growth of 14.5% and 23.7%, respectively, from the year-ago period\'s reported numbers.\n\nlululemon carries a Zacks Rank #2 (Buy) at present. Shares of LULU have declined 22% in the past three months. The company has a trailing four-quarter earnings surprise of 14.9%, on average. The company has a long-term earnings growth rate of 20%.\n\nThe Zacks Consensus Estimate for lululemon’s current-year sales and EPS suggests growth of 23.1% and 21.6%, respectively, from the year-ago reported figures.\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 \nWhirlpool Corporation (WHR): Free Stock Analysis Report\n \nlululemon athletica inc. (LULU): Free Stock Analysis Report\n \nGIII Apparel Group, LTD. (GIII): Free Stock Analysis Report\n \nOxford Industries, Inc. (OXM): 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': 'Check These We have highlighted three better-ranked companies in the same industry, namely GIII Apparel Group GIII, Oxford Industries OXM and lululemon athletica LULU. GIII Apparel currently flaunts a Zacks Rank #1 (Strong Buy). GIII has a trailing four-quarter earnings surprise of 97.5%, on average.', 'news_luhn_summary': 'Check These We have highlighted three better-ranked companies in the same industry, namely GIII Apparel Group GIII, Oxford Industries OXM and lululemon athletica LULU. GIII Apparel currently flaunts a Zacks Rank #1 (Strong Buy). GIII has a trailing four-quarter earnings surprise of 97.5%, on average.', 'news_article_title': "Can Whirlpool's (WHR) Cost-Based Pricing Actions Aid Stock?", 'news_lexrank_summary': 'Check These We have highlighted three better-ranked companies in the same industry, namely GIII Apparel Group GIII, Oxford Industries OXM and lululemon athletica LULU. GIII Apparel currently flaunts a Zacks Rank #1 (Strong Buy). GIII has a trailing four-quarter earnings surprise of 97.5%, on average.', 'news_textrank_summary': 'Check These We have highlighted three better-ranked companies in the same industry, namely GIII Apparel Group GIII, Oxford Industries OXM and lululemon athletica LULU. GIII Apparel currently flaunts a Zacks Rank #1 (Strong Buy). GIII has a trailing four-quarter earnings surprise of 97.5%, on average.'}, {'news_url': 'https://www.nasdaq.com/articles/is-hugo-boss-bossy-a-great-value-stock-right-now', 'news_author': None, 'news_article': 'While the proven Zacks Rank places an emphasis on earnings estimates and estimate revisions to find strong stocks, we also know that investors tend to develop their own individual strategies. With this in mind, we are always looking at value, growth, and momentum trends to discover great companies.\nOf these, perhaps no stock market trend is more popular than value investing, which is a strategy that has proven to be successful in all sorts of market environments. Value investors use a variety of methods, including tried-and-true valuation metrics, to find these stocks.\nIn addition to the Zacks Rank, investors looking for stocks with specific traits can utilize our Style Scores system. Of course, value investors will be most interested in the system\'s "Value" category. Stocks with "A" grades for Value and high Zacks Ranks are among the best value stocks available at any given moment.\nOne stock to keep an eye on is Hugo Boss (BOSSY). BOSSY is currently sporting a Zacks Rank of #2 (Buy) and an A for Value.\nAnother valuation metric that we should highlight is BOSSY\'s P/B ratio of 3.42. The P/B ratio pits a stock\'s market value against its book value, which is defined as total assets minus total liabilities. This company\'s current P/B looks solid when compared to its industry\'s average P/B of 6.03. Over the past 12 months, BOSSY\'s P/B has been as high as 4.73 and as low as 2.91, with a median of 4.05.\nFinally, our model also underscores that BOSSY has a P/CF ratio of 6.97. This metric takes into account a company\'s operating cash flow and can be used to find stocks that are undervalued based on their solid cash outlook. BOSSY\'s current P/CF looks attractive when compared to its industry\'s average P/CF of 15.38. BOSSY\'s P/CF has been as high as 11.88 and as low as 5.60, with a median of 7.97, all within the past year.\nGIII Apparel Group (GIII) may be another strong Textile - Apparel stock to add to your shortlist. GIII is a # 1 (Strong Buy) stock with a Value grade of A.\nShares of GIII Apparel Group currently holds a Forward P/E ratio of 4.50, and its PEG ratio is 0.48. In comparison, its industry sports average P/E and PEG ratios of 10.41 and 0.95.\nGIII\'s price-to-earnings ratio has been as high as 11.23 and as low as 4.34, with a median of 7.43, while its PEG ratio has been as high as 1.12 and as low as 0.45, with a median of 0.72, all within the past year.\nFurthermore, GIII Apparel Group holds a P/B ratio of 0.64 and its industry\'s price-to-book ratio is 6.03. GIII\'s P/B has been as high as 1.15, as low as 0.62, with a median of 0.91 over the past 12 months.\nValue investors will likely look at more than just these metrics, but the above data helps show that Hugo Boss and GIII Apparel Group are likely undervalued currently. And when considering the strength of its earnings outlook, BOSSY and GIII sticks out as one of the market\'s strongest value stocks.\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 \nHugo Boss (BOSSY): Free Stock Analysis Report\n \nGIII Apparel Group, LTD. (GIII): 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': 'Value investors will likely look at more than just these metrics, but the above data helps show that Hugo Boss and GIII Apparel Group are likely undervalued currently. GIII Apparel Group (GIII) may be another strong Textile - Apparel stock to add to your shortlist. GIII is a # 1 (Strong Buy) stock with a Value grade of A.', 'news_luhn_summary': 'Shares of GIII Apparel Group currently holds a Forward P/E ratio of 4.50, and its PEG ratio is 0.48. GIII Apparel Group, LTD. (GIII): Free Stock Analysis Report GIII Apparel Group (GIII) may be another strong Textile - Apparel stock to add to your shortlist.', 'news_article_title': 'Is Hugo Boss (BOSSY) a Great Value Stock Right Now?', 'news_lexrank_summary': 'Value investors will likely look at more than just these metrics, but the above data helps show that Hugo Boss and GIII Apparel Group are likely undervalued currently. GIII Apparel Group, LTD. (GIII): Free Stock Analysis Report GIII Apparel Group (GIII) may be another strong Textile - Apparel stock to add to your shortlist.', 'news_textrank_summary': "GIII's price-to-earnings ratio has been as high as 11.23 and as low as 4.34, with a median of 7.43, while its PEG ratio has been as high as 1.12 and as low as 0.45, with a median of 0.72, all within the past year. GIII Apparel Group, LTD. (GIII): Free Stock Analysis Report GIII Apparel Group (GIII) may be another strong Textile - Apparel stock to add to your shortlist."}], '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': 19.979999542236328, 'high': 20.6200008392334, 'open': 20.239999771118164, 'close': 20.01000022888184, 'ema_50': 23.28914105664968, 'rsi_14': 40.439942256731584, 'target': 20.14999961853028, 'volume': 519700.0, 'ema_200': 26.237526919421054, 'adj_close': 20.01000022888184, 'rsi_lag_1': 50.45208985714892, 'rsi_lag_2': 38.68612366356826, 'rsi_lag_3': 29.968447520537097, 'rsi_lag_4': 31.250003921359465, 'rsi_lag_5': 19.146178911779828, 'macd_lag_1': -1.0866239935848832, 'macd_lag_2': -1.151216872929151, 'macd_lag_3': -1.2026612250826183, 'macd_lag_4': -1.1744660349209326, 'macd_lag_5': -1.1753592834287154, 'macd_12_26_9': -1.0858561344169644, 'macds_12_26_9': -1.0860595815472363}, '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': 20.14999961853028, '2022-07-13': 20.14999961853028, '2022-07-14': 19.770000457763672, '2022-07-15': 20.059999465942383, '2022-07-18': 20.14999961853028, '2022-07-19': 21.309999465942383, '2022-07-20': 21.81999969482422, '2022-07-21': 22.280000686645508, '2022-07-22': 22.530000686645508, '2022-07-25': 22.59000015258789}, '1_month_later': {'2022-08-11': 23.489999771118164}, '3_months_later': {'2022-10-11': 16.010000228881836}, '6_months_later': {'2023-01-11': 15.65999984741211}, '12_months_later': {'2023-07-11': 20.09000015258789}}
|
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.
|
GIL
|
{'date': '2022-07-11', 'ticker': 'GIL', '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': 27.059999465942383, 'high': 27.850000381469727, 'open': 27.790000915527344, 'close': 27.170000076293945, 'ema_50': 30.32738588434592, 'rsi_14': 47.28096171875766, 'target': 26.76000022888184, 'volume': 944300.0, 'ema_200': 34.39797525746486, 'adj_close': 26.224124908447266, 'rsi_lag_1': 56.80671951038511, 'rsi_lag_2': 46.143240339119316, 'rsi_lag_3': 43.82183388306637, 'rsi_lag_4': 47.00729971721111, 'rsi_lag_5': 47.42267722684392, 'macd_lag_1': -0.7134996066268258, 'macd_lag_2': -0.7504772469683694, 'macd_lag_3': -0.7837035144081277, 'macd_lag_4': -0.7393675588532709, 'macd_lag_5': -0.7005334810020223, 'macd_12_26_9': -0.7497877907174235, 'macds_12_26_9': -0.7935002777044442}, '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': 26.76000022888184, '2022-07-13': 26.59000015258789, '2022-07-14': 26.36000061035156, '2022-07-15': 26.90999984741211, '2022-07-18': 27.1200008392334, '2022-07-19': 28.46999931335449, '2022-07-20': 29.1299991607666, '2022-07-21': 29.030000686645508, '2022-07-22': 28.76000022888184, '2022-07-25': 28.56999969482422}, '1_month_later': {'2022-08-11': 31.540000915527344}, '3_months_later': {'2022-10-11': 28.780000686645508}, '6_months_later': {'2023-01-11': 30.36000061035156}, '12_months_later': {'2023-07-11': 32.58000183105469}}
|
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.
|
GILD
|
{'date': '2022-07-11', 'ticker': 'GILD', '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-outflow-detected-moat-k-veev-gild', '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 Morningstar Wide Moat ETF (Symbol: MOAT) where we have detected an approximate $244.3 million dollar outflow -- that's a 3.8% decrease week over week (from 98,200,000 to 94,500,000). Among the largest underlying components of MOAT, in trading today Kellogg Co (Symbol: K) is up about 0.1%, Veeva Systems Inc (Symbol: VEEV) is down about 2.4%, and Gilead Sciences Inc (Symbol: GILD) is lower by about 0.3%. For a complete list of holdings, visit the MOAT Holdings page » The chart below shows the one year price performance of MOAT, versus its 200 day moving average:\nLooking at the chart above, MOAT's low point in its 52 week range is $60.93 per share, with $78.43 as the 52 week high point — that compares with a last trade of $65.08. 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 MOAT, in trading today Kellogg Co (Symbol: K) is up about 0.1%, Veeva Systems Inc (Symbol: VEEV) is down about 2.4%, and Gilead Sciences Inc (Symbol: GILD) is lower by about 0.3%. For a complete list of holdings, visit the MOAT Holdings page » The chart below shows the one year price performance of MOAT, versus its 200 day moving average: Looking at the chart above, MOAT's low point in its 52 week range is $60.93 per share, with $78.43 as the 52 week high point — that compares with a last trade of $65.08. 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 MOAT, in trading today Kellogg Co (Symbol: K) is up about 0.1%, Veeva Systems Inc (Symbol: VEEV) is down about 2.4%, and Gilead Sciences Inc (Symbol: GILD) is lower by about 0.3%. For a complete list of holdings, visit the MOAT Holdings page » The chart below shows the one year price performance of MOAT, versus its 200 day moving average: Looking at the chart above, MOAT's low point in its 52 week range is $60.93 per share, with $78.43 as the 52 week high point — that compares with a last trade of $65.08. 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': 'Notable ETF Outflow Detected - MOAT, K, VEEV, GILD', 'news_lexrank_summary': "Among the largest underlying components of MOAT, in trading today Kellogg Co (Symbol: K) is up about 0.1%, Veeva Systems Inc (Symbol: VEEV) is down about 2.4%, and Gilead Sciences Inc (Symbol: GILD) is lower by about 0.3%. For a complete list of holdings, visit the MOAT Holdings page » The chart below shows the one year price performance of MOAT, versus its 200 day moving average: Looking at the chart above, MOAT's low point in its 52 week range is $60.93 per share, with $78.43 as the 52 week high point — that compares with a last trade of $65.08. 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_textrank_summary': "Among the largest underlying components of MOAT, in trading today Kellogg Co (Symbol: K) is up about 0.1%, Veeva Systems Inc (Symbol: VEEV) is down about 2.4%, and Gilead Sciences Inc (Symbol: GILD) 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 Morningstar Wide Moat ETF (Symbol: MOAT) where we have detected an approximate $244.3 million dollar outflow -- that's a 3.8% decrease week over week (from 98,200,000 to 94,500,000). For a complete list of holdings, visit the MOAT Holdings page » The chart below shows the one year price performance of MOAT, versus its 200 day moving average: Looking at the chart above, MOAT's low point in its 52 week range is $60.93 per share, with $78.43 as the 52 week high point — that compares with a last trade of $65.08."}], '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': 62.52999877929688, 'high': 63.040000915527344, 'open': 62.790000915527344, 'close': 62.65999984741211, 'ema_50': 62.02045348702785, 'rsi_14': 77.06422339424014, 'target': 62.34000015258789, 'volume': 3478600.0, 'ema_200': 64.06434316910023, 'adj_close': 59.16246795654297, 'rsi_lag_1': 80.99273590974775, 'rsi_lag_2': 74.5743645344769, 'rsi_lag_3': 76.27659483806403, 'rsi_lag_4': 65.38090142372462, 'rsi_lag_5': 56.78391590540444, 'macd_lag_1': 0.23172839637098264, 'macd_lag_2': 0.1872992275329679, 'macd_lag_3': 0.14008517269842713, 'macd_lag_4': 0.07676725655061745, 'macd_lag_5': 0.03454298497268127, 'macd_12_26_9': 0.24953779608621574, 'macds_12_26_9': 0.05858451818782719}, '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': 62.34000015258789, '2022-07-13': 62.459999084472656, '2022-07-14': 61.810001373291016, '2022-07-15': 62.59999847412109, '2022-07-18': 60.900001525878906, '2022-07-19': 62.119998931884766, '2022-07-20': 61.54999923706055, '2022-07-21': 61.0099983215332, '2022-07-22': 60.79999923706055, '2022-07-25': 60.75}, '1_month_later': {'2022-08-11': 62.45000076293945}, '3_months_later': {'2022-10-11': 65.66999816894531}, '6_months_later': {'2023-01-11': 87.19000244140625}, '12_months_later': {'2023-07-11': 76.12000274658203}}
|
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.
|
GILT
|
{'date': '2022-07-11', 'ticker': 'GILT', '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': 6.079999923706055, 'high': 6.28000020980835, 'open': 6.21999979019165, 'close': 6.090000152587891, 'ema_50': 6.545602071568756, 'rsi_14': 50.0, 'target': 6.130000114440918, 'volume': 106100.0, 'ema_200': 7.619172623728306, 'adj_close': 6.090000152587891, 'rsi_lag_1': 61.29033250442229, 'rsi_lag_2': 52.99999856948784, 'rsi_lag_3': 58.407084874087516, 'rsi_lag_4': 59.45946410360171, 'rsi_lag_5': 47.407417611334466, 'macd_lag_1': -0.12959717960526707, 'macd_lag_2': -0.14988748463599233, 'macd_lag_3': -0.16953238716455754, 'macd_lag_4': -0.1758496072057545, 'macd_lag_5': -0.18542758806946935, 'macd_12_26_9': -0.12179596648214552, 'macds_12_26_9': -0.16916375190460062}, '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': 6.130000114440918, '2022-07-13': 6.059999942779541, '2022-07-14': 6.010000228881836, '2022-07-15': 6.119999885559082, '2022-07-18': 6.25, '2022-07-19': 6.429999828338623, '2022-07-20': 6.650000095367432, '2022-07-21': 6.639999866485596, '2022-07-22': 6.489999771118164, '2022-07-25': 6.579999923706055}, '1_month_later': {'2022-08-11': 7.0}, '3_months_later': {'2022-10-11': 5.28000020980835}, '6_months_later': {'2023-01-11': 6.21999979019165}, '12_months_later': {'2023-07-11': 6.679999828338623}}
|
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.
|
GIM
|
{'date': '2022-07-11', 'ticker': 'GIM', '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': 4.260000228881836, 'high': 4.449999809265137, 'open': 4.380000114440918, 'close': 4.300000190734863, 'ema_50': 4.528292697829387, 'rsi_14': 53.2258039706699, 'target': 4.340000152587891, 'volume': 760600.0, 'ema_200': 4.908069511166876, 'adj_close': 3.7096104621887207, 'rsi_lag_1': 67.85711244663258, 'rsi_lag_2': 52.17389201097969, 'rsi_lag_3': 57.81248253772411, 'rsi_lag_4': 54.411755424892974, 'rsi_lag_5': 47.36842765701408, 'macd_lag_1': -0.03063850515605182, 'macd_lag_2': -0.03165912946613769, 'macd_lag_3': -0.030464959098986277, 'macd_lag_4': -0.03460672187193481, 'macd_lag_5': -0.04651703697133769, 'macd_12_26_9': -0.038264615358515996, 'macds_12_26_9': -0.044521531809824245}, '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': 4.340000152587891, '2022-07-13': 4.409999847412109, '2022-07-14': 4.400000095367432, '2022-07-15': 4.300000190734863, '2022-07-18': 4.409999847412109, '2022-07-19': 4.320000171661377, '2022-07-20': 4.449999809265137, '2022-07-21': 4.440000057220459, '2022-07-22': 4.380000114440918, '2022-07-25': 4.369999885559082}, '1_month_later': {'2022-08-11': 4.800000190734863}, '3_months_later': {'2022-10-11': 4.170000076293945}, '6_months_later': {'2023-01-11': 4.360000133514404}, '12_months_later': {'2023-07-11': 4.150000095367432}}
|
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.
|
GIS
|
{'date': '2022-07-11', 'ticker': 'GIS', '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': 75.58999633789062, 'high': 76.3499984741211, 'open': 75.79000091552734, 'close': 75.76000213623047, 'ema_50': 70.75963863542209, 'rsi_14': 84.55403705265114, 'target': 75.91999816894531, 'volume': 2232800.0, 'ema_200': 67.28695088346538, 'adj_close': 73.02605438232422, 'rsi_lag_1': 81.1923632352774, 'rsi_lag_2': 81.68628147785708, 'rsi_lag_3': 85.21992686339914, 'rsi_lag_4': 80.1640803902883, 'rsi_lag_5': 76.29526468428702, 'macd_lag_1': 1.853246320267104, 'macd_lag_2': 1.7929264513910823, 'macd_lag_3': 1.6929118551702373, 'macd_lag_4': 1.4683418731359552, 'macd_lag_5': 1.269296637748667, 'macd_12_26_9': 1.896935815536395, 'macds_12_26_9': 1.288175098272345}, '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': 75.91999816894531, '2022-07-13': 76.43000030517578, '2022-07-14': 74.69999694824219, '2022-07-15': 74.91999816894531, '2022-07-18': 73.94999694824219, '2022-07-19': 74.37000274658203, '2022-07-20': 73.4000015258789, '2022-07-21': 73.0999984741211, '2022-07-22': 73.62999725341797, '2022-07-25': 74.25}, '1_month_later': {'2022-08-11': 76.95999908447266}, '3_months_later': {'2022-10-11': 77.38999938964844}, '6_months_later': {'2023-01-11': 83.94999694824219}, '12_months_later': {'2023-07-11': 75.08000183105469}}
|
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.
|
GJO
|
{'date': '2022-07-11', 'ticker': 'GJO', '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': 23.059999465942383, 'high': 23.059999465942383, 'open': 23.059999465942383, 'close': 23.059999465942383, 'ema_50': 23.26682930154464, 'rsi_14': 53.40906381604472, 'target': 23.059999465942383, 'volume': 0.0, 'ema_200': 23.50991752187809, 'adj_close': 21.988819122314453, 'rsi_lag_1': 45.19228476742245, 'rsi_lag_2': 40.86951906602911, 'rsi_lag_3': 45.5999755859375, 'rsi_lag_4': 50.89279176025992, 'rsi_lag_5': 63.636363636363505, 'macd_lag_1': -0.0369434637555095, 'macd_lag_2': -0.02983492160832668, 'macd_lag_3': -0.02032787440798245, 'macd_lag_4': -0.007897746899065083, 'macd_lag_5': -0.008208401387470587, 'macd_12_26_9': -0.042091826249674114, 'macds_12_26_9': -0.034862663038031275}, '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': 23.059999465942383, '2022-07-13': 23.200000762939453, '2022-07-14': 23.25, '2022-07-15': 23.3700008392334, '2022-07-18': 23.21999931335449, '2022-07-19': 23.34000015258789, '2022-07-20': 23.34000015258789, '2022-07-21': 23.34000015258789, '2022-07-22': 23.34000015258789, '2022-07-25': 23.34000015258789}, '1_month_later': {'2022-08-11': 23.299999237060547}, '3_months_later': {'2022-10-11': 23.65999984741211}, '6_months_later': {'2023-01-11': 23.8799991607666}, '12_months_later': {'2023-07-11': 24.59000015258789}}
|
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.
|
GLDM
|
{'date': '2022-07-11', 'ticker': 'GLDM', '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': 34.3849983215332, 'high': 34.61000061035156, 'open': 34.52000045776367, 'close': 34.400001525878906, 'ema_50': 36.38466732138174, 'rsi_14': 7.317088299419723, 'target': 34.27000045776367, 'volume': 1349900.0, 'ema_200': 36.58499740450574, 'adj_close': 34.400001525878906, 'rsi_lag_1': 7.003903756809308, 'rsi_lag_2': 19.7986658798319, 'rsi_lag_3': 29.70585298371236, 'rsi_lag_4': 32.47586373543882, 'rsi_lag_5': 30.239503860386563, 'macd_lag_1': -0.5212136450236855, 'macd_lag_2': -0.47412221619119066, 'macd_lag_3': -0.40610209478065684, 'macd_lag_4': -0.3103219361404328, 'macd_lag_5': -0.24057617259450126, 'macd_12_26_9': -0.567325468091191, 'macds_12_26_9': -0.39156667499904246}, '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': 34.27000045776367, '2022-07-13': 34.439998626708984, '2022-07-14': 33.95000076293945, '2022-07-15': 33.880001068115234, '2022-07-18': 33.91999816894531, '2022-07-19': 34.0099983215332, '2022-07-20': 33.689998626708984, '2022-07-21': 34.15999984741211, '2022-07-22': 34.25, '2022-07-25': 34.150001525878906}, '1_month_later': {'2022-08-11': 35.470001220703125}, '3_months_later': {'2022-10-11': 33.08000183105469}, '6_months_later': {'2023-01-11': 37.2599983215332}, '12_months_later': {'2023-07-11': 38.34000015258789}}
|
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.
|
GLBZ
|
{'date': '2022-07-11', 'ticker': 'GLBZ', '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': 10.300000190734863, 'high': 10.300000190734863, 'open': 10.300000190734863, 'close': 10.300000190734863, 'ema_50': 11.339878896248784, 'rsi_14': 18.848191589594663, 'target': 10.449999809265137, 'volume': 0.0, 'ema_200': 11.94127042360194, 'adj_close': 9.54736614227295, 'rsi_lag_1': 19.27086670570769, 'rsi_lag_2': 19.27086670570769, 'rsi_lag_3': 19.27086670570769, 'rsi_lag_4': 19.27086670570769, 'rsi_lag_5': 20.555589110741636, 'macd_lag_1': -0.3556755601063326, 'macd_lag_2': -0.34870454966584674, 'macd_lag_3': -0.33473493925394315, 'macd_lag_4': -0.3120357646663301, 'macd_lag_5': -0.2785246616157231, 'macd_12_26_9': -0.3570838952365545, 'macds_12_26_9': -0.2989152740328971}, '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': 10.449999809265137, '2022-07-13': 10.25, '2022-07-14': 10.25, '2022-07-15': 10.25, '2022-07-18': 10.25, '2022-07-19': 10.25, '2022-07-20': 10.5, '2022-07-21': 10.5, '2022-07-22': 10.5, '2022-07-25': 10.050000190734863}, '1_month_later': {'2022-08-11': 10.300000190734863}, '3_months_later': {'2022-10-11': 9.609999656677246}, '6_months_later': {'2023-01-11': 8.0}, '12_months_later': {'2023-07-11': 7.349999904632568}}
|
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.
|
GLBS
|
{'date': '2022-07-11', 'ticker': 'GLBS', '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': 1.5199999809265137, 'high': 1.6200000047683716, 'open': 1.6200000047683716, 'close': 1.5399999618530271, 'ema_50': 1.9854050854679939, 'rsi_14': 26.829270065575244, 'target': 1.4900000095367432, 'volume': 225600.0, 'ema_200': 2.6682206535704944, 'adj_close': 1.5399999618530271, 'rsi_lag_1': 27.84810202986236, 'rsi_lag_2': 24.719098113640683, 'rsi_lag_3': 22.093045015203998, 'rsi_lag_4': 23.75001713632105, 'rsi_lag_5': 18.750021730848374, 'macd_lag_1': -0.12927755900245153, 'macd_lag_2': -0.12435954882348299, 'macd_lag_3': -0.12238259838608423, 'macd_lag_4': -0.11197009513190781, 'macd_lag_5': -0.10621493844775243, 'macd_12_26_9': -0.13803922215013276, 'macds_12_26_9': -0.10989939551991047}, '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': 1.4900000095367432, '2022-07-13': 1.5099999904632568, '2022-07-14': 1.5, '2022-07-15': 1.6200000047683716, '2022-07-18': 1.6399999856948853, '2022-07-19': 1.8899999856948853, '2022-07-20': 1.7699999809265137, '2022-07-21': 1.7699999809265137, '2022-07-22': 1.600000023841858, '2022-07-25': 1.6200000047683716}, '1_month_later': {'2022-08-11': 1.6299999952316284}, '3_months_later': {'2022-10-11': 1.3700000047683716}, '6_months_later': {'2023-01-11': 1.1699999570846558}, '12_months_later': {'2023-07-11': 0.8899999856948853}}
|
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.
|
GL
|
{'date': '2022-07-11', 'ticker': 'GL', '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': 99.25, 'high': 100.7699966430664, 'open': 99.25, 'close': 100.51000213623048, 'ema_50': 97.33008765345153, 'rsi_14': 73.23010016537391, 'target': 100.13999938964844, 'volume': 593300.0, 'ema_200': 97.44337217373581, 'adj_close': 99.52393341064452, 'rsi_lag_1': 73.8519731540747, 'rsi_lag_2': 63.52381516368135, 'rsi_lag_3': 68.47737664318501, 'rsi_lag_4': 68.70916107188019, 'rsi_lag_5': 66.95859019009394, 'macd_lag_1': 0.8169006636350247, 'macd_lag_2': 0.7280800396267608, 'macd_lag_3': 0.6377217794852044, 'macd_lag_4': 0.5650433190736521, 'macd_lag_5': 0.5546784828169251, 'macd_12_26_9': 0.9760978794650299, 'macds_12_26_9': 0.44561727007394397}, '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': 100.13999938964844, '2022-07-13': 97.98999786376952, '2022-07-14': 97.2300033569336, '2022-07-15': 98.81999969482422, '2022-07-18': 98.16000366210938, '2022-07-19': 100.5, '2022-07-20': 99.7300033569336, '2022-07-21': 100.72000122070312, '2022-07-22': 100.66999816894533, '2022-07-25': 101.41000366210938}, '1_month_later': {'2022-08-11': 101.5500030517578}, '3_months_later': {'2022-10-11': 106.69000244140624}, '6_months_later': {'2023-01-11': 121.94000244140624}, '12_months_later': {'2023-07-11': 112.30999755859376}}
|
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.
|
GKOS
|
{'date': '2022-07-11', 'ticker': 'GKOS', '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': 45.834999084472656, 'high': 48.41999816894531, 'open': 48.22999954223633, 'close': 47.060001373291016, 'ema_50': 45.91228103385631, 'rsi_14': 62.77737091340233, 'target': 48.41999816894531, 'volume': 459200.0, 'ema_200': 50.829673789145396, 'adj_close': 47.060001373291016, 'rsi_lag_1': 74.53599208401278, 'rsi_lag_2': 61.815553405742925, 'rsi_lag_3': 65.51723624432418, 'rsi_lag_4': 63.134800121878946, 'rsi_lag_5': 61.77913661033632, 'macd_lag_1': 1.1023513407602294, 'macd_lag_2': 0.95674030174564, 'macd_lag_3': 0.9056262845662033, 'macd_lag_4': 0.8811769778464367, 'macd_lag_5': 0.7842081509831473, 'macd_12_26_9': 1.0626750374798561, 'macds_12_26_9': 0.7911496030222713}, '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': 48.41999816894531, '2022-07-13': 48.66999816894531, '2022-07-14': 49.09999847412109, '2022-07-15': 50.41999816894531, '2022-07-18': 49.18000030517578, '2022-07-19': 50.2400016784668, '2022-07-20': 50.09000015258789, '2022-07-21': 50.58000183105469, '2022-07-22': 49.9900016784668, '2022-07-25': 51.02999877929688}, '1_month_later': {'2022-08-11': 50.0}, '3_months_later': {'2022-10-11': 52.650001525878906}, '6_months_later': {'2023-01-11': 46.150001525878906}, '12_months_later': {'2023-07-11': 71.2300033569336}}
|
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.
|
GJS
|
{'date': '2022-07-11', 'ticker': 'GJS', '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': 20.920000076293945, 'high': 21.100000381469727, 'open': 20.979999542236328, 'close': 21.100000381469727, 'ema_50': 21.37414152628009, 'rsi_14': 6.250124175968281, 'target': 21.049999237060547, 'volume': 2800.0, 'ema_200': 21.354969912737893, 'adj_close': 19.66946029663086, 'rsi_lag_1': 6.250124175968281, 'rsi_lag_2': 16.666961009052798, 'rsi_lag_3': 41.55837721883964, 'rsi_lag_4': 59.25910227609885, 'rsi_lag_5': 32.989682613030155, 'macd_lag_1': -0.07782845219334433, 'macd_lag_2': -0.0685977072153463, 'macd_lag_3': -0.05581813515666312, 'macd_lag_4': -0.03564023857738974, 'macd_lag_5': -0.03278563686460245, 'macd_12_26_9': -0.08417358341892012, 'macds_12_26_9': -0.05391791890903852}, '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': 21.049999237060547, '2022-07-13': 21.07999992370605, '2022-07-14': 21.07999992370605, '2022-07-15': 21.07999992370605, '2022-07-18': 21.190000534057617, '2022-07-19': 20.920000076293945, '2022-07-20': 20.920000076293945, '2022-07-21': 21.18000030517578, '2022-07-22': 21.07999992370605, '2022-07-25': 21.07999992370605}, '1_month_later': {'2022-08-11': 21.440000534057617}, '3_months_later': {'2022-10-11': 21.0}, '6_months_later': {'2023-01-11': 21.059999465942383}, '12_months_later': {'2023-07-11': 21.979999542236328}}
|
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.
|
GOGL
|
{'date': '2022-07-11', 'ticker': 'GOGL', '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': 10.239999771118164, 'high': 10.5, 'open': 10.390000343322754, 'close': 10.34000015258789, 'ema_50': 12.577308522741761, 'rsi_14': 27.220077682121925, 'target': 10.0600004196167, 'volume': 1938300.0, 'ema_200': 11.447285948857754, 'adj_close': 8.805108070373535, 'rsi_lag_1': 30.769225263821625, 'rsi_lag_2': 27.655983688787515, 'rsi_lag_3': 23.936166705022245, 'rsi_lag_4': 28.438661182861267, 'rsi_lag_5': 26.842101476639286, 'macd_lag_1': -0.964142576277764, 'macd_lag_2': -0.9626478035317891, 'macd_lag_3': -0.9467377800846446, 'macd_lag_4': -0.8719328394696131, 'macd_lag_5': -0.8085718312404424, 'macd_12_26_9': -0.9607080750350327, 'macds_12_26_9': -0.8394630495105949}, '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': 10.0600004196167, '2022-07-13': 10.06999969482422, '2022-07-14': 10.130000114440918, '2022-07-15': 10.670000076293944, '2022-07-18': 10.859999656677246, '2022-07-19': 11.010000228881836, '2022-07-20': 10.890000343322754, '2022-07-21': 11.15999984741211, '2022-07-22': 10.829999923706056, '2022-07-25': 10.890000343322754}, '1_month_later': {'2022-08-11': 11.5}, '3_months_later': {'2022-10-11': 8.260000228881836}, '6_months_later': {'2023-01-11': 8.850000381469727}, '12_months_later': {'2023-07-11': 7.75}}
|
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.
|
GOGO
|
{'date': '2022-07-11', 'ticker': 'GOGO', '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': 15.255000114440918, 'high': 15.81999969482422, 'open': 15.789999961853027, 'close': 15.359999656677246, 'ema_50': 17.51845045909655, 'rsi_14': 35.076932105784394, 'target': 15.359999656677246, 'volume': 511400.0, 'ema_200': 16.1148641906103, 'adj_close': 15.359999656677246, 'rsi_lag_1': 44.44445158004726, 'rsi_lag_2': 24.384816491428225, 'rsi_lag_3': 20.470598795005003, 'rsi_lag_4': 21.271408408700395, 'rsi_lag_5': 16.82786277425042, 'macd_lag_1': -0.8422246224676115, 'macd_lag_2': -0.8741315822117812, 'macd_lag_3': -0.8787236889708296, 'macd_lag_4': -0.8473671112444059, 'macd_lag_5': -0.8164011979395482, 'macd_12_26_9': -0.8443234505262964, 'macds_12_26_9': -0.7944470045381802}, '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': 15.359999656677246, '2022-07-13': 15.050000190734863, '2022-07-14': 14.920000076293944, '2022-07-15': 15.029999732971191, '2022-07-18': 15.130000114440918, '2022-07-19': 15.4399995803833, '2022-07-20': 15.5600004196167, '2022-07-21': 15.220000267028809, '2022-07-22': 15.279999732971191, '2022-07-25': 16.610000610351562}, '1_month_later': {'2022-08-11': 16.600000381469727}, '3_months_later': {'2022-10-11': 11.989999771118164}, '6_months_later': {'2023-01-11': 16.040000915527344}, '12_months_later': {'2023-07-11': 17.200000762939453}}
|
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.
|
GOL
|
{'date': '2022-07-11', 'ticker': 'GOL', '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/consumer-sector-update-for-07-11-2022%3A-mlcogolubergsmglvswynnmgm', 'news_author': None, 'news_article': 'Consumer stocks were ending broadly lower in Monday trading, with the SPDR Consumer Staples Select Sector ETF (XLP) slipping 0.2% while the SPDR Consumer Discretionary Select Sector ETF (XLY) sinking 2.6%.\nIn company news, Melco Resorts & Entertainment (MLCO) was leading Monday declines for casino companies with operations in Macau, sinking nearly 10%, after authorities in the Chinese special administrative district ordered a weeklong lockdown due to rising COVID-19 cases. Wynn Resorts (WYNN) and Las Vegas Sands (LVS) were falling 7.0% and 6.9%, respectively, while MGM Resorts International (MGM) was dropping 3.4%,\nGol Linhas Aereas Inteligentes (GOL) fell 13% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss.\nUber Technologies (UBER) dropped 5.3% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media. Uber acknowledged past "mistakes" and "missteps" in response to the weekend reports but said its business practices changed for the better after Kalanick and other senior executives were booted in 2017.\nAmong gainers, Glory Star New Media Group (GSMG) jumped over 35% after the Chinese digital advertising company Monday agreed to a sweetened buyout proposal from board chairman and CEO Bing Zhang and other investors, who are offering $1.55 in cash for each Glory Star ordinary share. The new offer represents a 22% premium over Zhang\'s $1.27-per-share going-private offer announced March 11, the company said.\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': 'Wynn Resorts (WYNN) and Las Vegas Sands (LVS) were falling 7.0% and 6.9%, respectively, while MGM Resorts International (MGM) was dropping 3.4%, Gol Linhas Aereas Inteligentes (GOL) fell 13% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Uber Technologies (UBER) dropped 5.3% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media. Uber acknowledged past "mistakes" and "missteps" in response to the weekend reports but said its business practices changed for the better after Kalanick and other senior executives were booted in 2017.', 'news_luhn_summary': 'Wynn Resorts (WYNN) and Las Vegas Sands (LVS) were falling 7.0% and 6.9%, respectively, while MGM Resorts International (MGM) was dropping 3.4%, Gol Linhas Aereas Inteligentes (GOL) fell 13% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Consumer stocks were ending broadly lower in Monday trading, with the SPDR Consumer Staples Select Sector ETF (XLP) slipping 0.2% while the SPDR Consumer Discretionary Select Sector ETF (XLY) sinking 2.6%. Uber Technologies (UBER) dropped 5.3% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media.', 'news_article_title': 'Consumer Sector Update for 07/11/2022: MLCO,GOL,UBER,GSMG,LVS,WYNN,MGM', 'news_lexrank_summary': 'Wynn Resorts (WYNN) and Las Vegas Sands (LVS) were falling 7.0% and 6.9%, respectively, while MGM Resorts International (MGM) was dropping 3.4%, Gol Linhas Aereas Inteligentes (GOL) fell 13% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Consumer stocks were ending broadly lower in Monday trading, with the SPDR Consumer Staples Select Sector ETF (XLP) slipping 0.2% while the SPDR Consumer Discretionary Select Sector ETF (XLY) sinking 2.6%. In company news, Melco Resorts & Entertainment (MLCO) was leading Monday declines for casino companies with operations in Macau, sinking nearly 10%, after authorities in the Chinese special administrative district ordered a weeklong lockdown due to rising COVID-19 cases.', 'news_textrank_summary': 'Wynn Resorts (WYNN) and Las Vegas Sands (LVS) were falling 7.0% and 6.9%, respectively, while MGM Resorts International (MGM) was dropping 3.4%, Gol Linhas Aereas Inteligentes (GOL) fell 13% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Uber Technologies (UBER) dropped 5.3% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media. Among gainers, Glory Star New Media Group (GSMG) jumped over 35% after the Chinese digital advertising company Monday agreed to a sweetened buyout proposal from board chairman and CEO Bing Zhang and other investors, who are offering $1.55 in cash for each Glory Star ordinary share.'}, {'news_url': 'https://www.nasdaq.com/articles/consumer-sector-update-for-07-11-2022%3A-gol-uber-gsmg', 'news_author': None, 'news_article': 'Consumer stocks were broadly lower in Monday trading, with the SPDR Consumer Staples Select Sector ETF (XLP) slipping less than 0.1% while the SPDR Consumer Discretionary Select Sector ETF (XLY) sinking 2.4%.\nIn company news, Gol Linhas Aereas Inteligentes (GOL) fell 8.2% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss.\nUber Technologies (UBER) dropped 3.8% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media. Uber acknowledged past "mistakes" and "missteps" in response to the weekend reports but said its business practices changed for the better after Kalanick and other senior executives were booted in 2017.\nGlory Star New Media Group (GSMG) jumped over 25% after the Chinese digital advertising company Monday agreed to a sweetened buyout proposal from board chairman and CEO Bing Zhang and other investors, who are offering $1.55 in cash for each Glory Star ordinary share. The new offer represents a 22% premium over Zhang\'s $1.27-per-share going-private offer announced March 11, the company said.\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': 'In company news, Gol Linhas Aereas Inteligentes (GOL) fell 8.2% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Uber Technologies (UBER) dropped 3.8% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media. Uber acknowledged past "mistakes" and "missteps" in response to the weekend reports but said its business practices changed for the better after Kalanick and other senior executives were booted in 2017.', 'news_luhn_summary': 'In company news, Gol Linhas Aereas Inteligentes (GOL) fell 8.2% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Consumer stocks were broadly lower in Monday trading, with the SPDR Consumer Staples Select Sector ETF (XLP) slipping less than 0.1% while the SPDR Consumer Discretionary Select Sector ETF (XLY) sinking 2.4%. Glory Star New Media Group (GSMG) jumped over 25% after the Chinese digital advertising company Monday agreed to a sweetened buyout proposal from board chairman and CEO Bing Zhang and other investors, who are offering $1.55 in cash for each Glory Star ordinary share.', 'news_article_title': 'Consumer Sector Update for 07/11/2022: GOL, UBER, GSMG', 'news_lexrank_summary': 'In company news, Gol Linhas Aereas Inteligentes (GOL) fell 8.2% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Consumer stocks were broadly lower in Monday trading, with the SPDR Consumer Staples Select Sector ETF (XLP) slipping less than 0.1% while the SPDR Consumer Discretionary Select Sector ETF (XLY) sinking 2.4%. Uber Technologies (UBER) dropped 3.8% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media.', 'news_textrank_summary': 'In company news, Gol Linhas Aereas Inteligentes (GOL) fell 8.2% after the Brazilian airline Monday said it expects to report a net loss of $0.75 per American depositary share for its Q2 ended June 30, reversing a $0.61 per ADS profit during the year-ago period and trailing the Capital IQ consensus looking for $0.48 per ADS loss. Uber Technologies (UBER) dropped 3.8% after confidential documents leaked to The Guardian newspaper showed the ride-hailing company under former CEO Travis Kalanick allegedly muscled its way into new markets in Europe and beyond by ignoring local laws and spending millions of dollars to influence politicians, oligarchs and the media. Glory Star New Media Group (GSMG) jumped over 25% after the Chinese digital advertising company Monday agreed to a sweetened buyout proposal from board chairman and CEO Bing Zhang and other investors, who are offering $1.55 in cash for each Glory Star ordinary share.'}], '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': 2.740000009536743, 'high': 3.0199999809265137, 'open': 3.009999990463257, 'close': 2.7799999713897705, 'ema_50': 4.639171596297976, 'rsi_14': 21.500000774860297, 'target': 2.880000114440918, 'volume': 2570400.0, 'ema_200': 6.06953423198098, 'adj_close': 2.7799999713897705, 'rsi_lag_1': 38.860109835592496, 'rsi_lag_2': 29.464286284483137, 'rsi_lag_3': 37.30158632544683, 'rsi_lag_4': 37.15415287946036, 'rsi_lag_5': 30.322581091730925, 'macd_lag_1': -0.5721879290077312, 'macd_lag_2': -0.5871316417041945, 'macd_lag_3': -0.5885015046757611, 'macd_lag_4': -0.5765990218374362, 'macd_lag_5': -0.5682929676799331, 'macd_12_26_9': -0.5850703513147355, 'macds_12_26_9': -0.5729785419748782}, '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': 2.880000114440918, '2022-07-13': 2.970000028610229, '2022-07-14': 2.9200000762939453, '2022-07-15': 3.039999961853028, '2022-07-18': 3.0, '2022-07-19': 3.190000057220459, '2022-07-20': 3.0799999237060547, '2022-07-21': 3.0199999809265137, '2022-07-22': 2.950000047683716, '2022-07-25': 3.059999942779541}, '1_month_later': {'2022-08-11': 4.010000228881836}, '3_months_later': {'2022-10-11': 3.819999933242798}, '6_months_later': {'2023-01-11': 3.2300000190734863}, '12_months_later': {'2023-07-11': 4.46999979019165}}
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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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GSG
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{'date': '2022-07-11', 'ticker': 'GSG', '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': 22.530000686645508, 'high': 22.88999938964844, 'open': 22.809999465942383, 'close': 22.76000022888184, 'ema_50': 23.86144570443407, 'rsi_14': 36.14649173719763, 'target': 21.57999992370605, 'volume': 963000.0, 'ema_200': 21.131555942693634, 'adj_close': 22.76000022888184, 'rsi_lag_1': 31.615594150015454, 'rsi_lag_2': 29.55522078874536, 'rsi_lag_3': 19.48051344867436, 'rsi_lag_4': 18.987330311552867, 'rsi_lag_5': 23.904366575795308, 'macd_lag_1': -0.6564038848192766, 'macd_lag_2': -0.6687387591668568, 'macd_lag_3': -0.6370826222970294, 'macd_lag_4': -0.4998477196985647, 'macd_lag_5': -0.3489791500823145, 'macd_12_26_9': -0.6400571623800424, 'macds_12_26_9': -0.46261737115169294}, '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': 21.57999992370605, '2022-07-13': 21.729999542236328, '2022-07-14': 21.6200008392334, '2022-07-15': 21.88999938964844, '2022-07-18': 22.479999542236328, '2022-07-19': 22.600000381469727, '2022-07-20': 22.600000381469727, '2022-07-21': 22.170000076293945, '2022-07-22': 21.920000076293945, '2022-07-25': 22.309999465942383}, '1_month_later': {'2022-08-11': 22.65999984741211}, '3_months_later': {'2022-10-11': 21.96999931335449}, '6_months_later': {'2023-01-11': 20.68000030517578}, '12_months_later': {'2023-07-11': 20.15999984741211}}
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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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GSHD
|
{'date': '2022-07-11', 'ticker': 'GSHD', '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': 49.36000061035156, 'high': 51.380001068115234, 'open': 51.380001068115234, 'close': 50.900001525878906, 'ema_50': 52.50499916122984, 'rsi_14': 71.13872436195432, 'target': 51.75, 'volume': 178500.0, 'ema_200': 82.03924738539897, 'adj_close': 50.900001525878906, 'rsi_lag_1': 74.77623570671773, 'rsi_lag_2': 64.5354983097968, 'rsi_lag_3': 56.137187545962306, 'rsi_lag_4': 56.42235346356825, 'rsi_lag_5': 42.67446386915685, 'macd_lag_1': -0.14396760418500065, 'macd_lag_2': -0.45717102768697515, 'macd_lag_3': -0.839083054087439, 'macd_lag_4': -1.0373912536166259, 'macd_lag_5': -1.4393426358352457, 'macd_12_26_9': 0.04163611625353525, 'macds_12_26_9': -0.8852126004309803}, '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': 51.75, '2022-07-13': 54.119998931884766, '2022-07-14': 51.27999877929688, '2022-07-15': 49.93000030517578, '2022-07-18': 50.58000183105469, '2022-07-19': 53.38999938964844, '2022-07-20': 54.630001068115234, '2022-07-21': 55.68000030517578, '2022-07-22': 54.04999923706055, '2022-07-25': 53.81999969482422}, '1_month_later': {'2022-08-11': 65.45999908447266}, '3_months_later': {'2022-10-11': 31.18000030517578}, '6_months_later': {'2023-01-11': 36.970001220703125}, '12_months_later': {'2023-07-11': 62.77000045776367}}
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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.
|
GSID
|
{'date': '2022-07-11', 'ticker': 'GSID', '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': 43.970001220703125, 'high': 44.369998931884766, 'open': 44.27000045776367, 'close': 43.970001220703125, 'ema_50': 47.196624842711635, 'rsi_14': 40.578836274583985, 'target': 44.06399917602539, 'volume': 2700.0, 'ema_200': 51.33380587467134, 'adj_close': 42.48102569580078, 'rsi_lag_1': 46.80203307848616, 'rsi_lag_2': 36.73744721652317, 'rsi_lag_3': 39.716704736441365, 'rsi_lag_4': 34.80753741746541, 'rsi_lag_5': 31.744844973079424, 'macd_lag_1': -0.9906318615909555, 'macd_lag_2': -1.046896254012431, 'macd_lag_3': -1.0930969209167785, 'macd_lag_4': -1.0694753957511125, 'macd_lag_5': -1.0203078756618424, 'macd_12_26_9': -1.0003546843964273, 'macds_12_26_9': -1.0103988539899749}, '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': 44.06399917602539, '2022-07-13': 44.01800155639648, '2022-07-14': 43.22999954223633, '2022-07-15': 43.994998931884766, '2022-07-18': 44.27199935913086, '2022-07-19': 45.42399978637695, '2022-07-20': 45.0880012512207, '2022-07-21': 45.6259994506836, '2022-07-22': 45.479000091552734, '2022-07-25': 45.80899810791016}, '1_month_later': {'2022-08-11': 47.505001068115234}, '3_months_later': {'2022-10-11': 40.0359992980957}, '6_months_later': {'2023-01-11': 49.290000915527344}, '12_months_later': {'2023-07-11': 50.922000885009766}}
|
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.
|
GSIT
|
{'date': '2022-07-11', 'ticker': 'GSIT', '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': 3.4200000762939453, 'high': 3.509999990463257, 'open': 3.4200000762939453, 'close': 3.4600000381469727, 'ema_50': 3.595935160973476, 'rsi_14': 54.05405144172401, 'target': 3.3499999046325684, 'volume': 6800.0, 'ema_200': 4.3023173911387405, 'adj_close': 3.4600000381469727, 'rsi_lag_1': 50.0, 'rsi_lag_2': 41.666671397195834, 'rsi_lag_3': 39.50617901709699, 'rsi_lag_4': 36.7816063604604, 'rsi_lag_5': 28.971965532239537, 'macd_lag_1': -0.05467651507337834, 'macd_lag_2': -0.06039487464888316, 'macd_lag_3': -0.06172420573088466, 'macd_lag_4': -0.058450385567155205, 'macd_lag_5': -0.05545797482608128, 'macd_12_26_9': -0.05196638474675863, 'macds_12_26_9': -0.04825987095568205}, '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': 3.3499999046325684, '2022-07-13': 3.440000057220459, '2022-07-14': 3.470000028610229, '2022-07-15': 3.5299999713897705, '2022-07-18': 3.839999914169312, '2022-07-19': 4.070000171661377, '2022-07-20': 4.050000190734863, '2022-07-21': 4.130000114440918, '2022-07-22': 4.050000190734863, '2022-07-25': 3.9600000381469727}, '1_month_later': {'2022-08-11': 3.75}, '3_months_later': {'2022-10-11': 2.5199999809265137}, '6_months_later': {'2023-01-11': 1.9800000190734863}, '12_months_later': {'2023-07-11': 5.659999847412109}}
|
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.
|
GSK
|
{'date': '2022-07-11', 'ticker': 'GSK', '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/how-its-new-vaccine-could-propel-gsks-growth', 'news_author': None, 'news_article': "Respiratory syncytial virus, or RSV, is a common illness, but it has proved quite challenging to treat. It remains one of the few major infectious diseases without a vaccine. U.K.-based pharmaceutical GSK (NYSE: GSK) formally known as GlaxoSmithKline, has delivered mixed results from its pivotal clinical trials, but recent news tips the race in its favor.\nGSK delivers breakthrough news\nRSV symptoms are typically mild, limited to a runny nose, cough, and fever. But two populations are particularly at risk for severe complications such as bronchitis or pneumonia. About 58,000 children under the age of five and 177,000 adults over the age of 65 are hospitalized with it each year in the U.S.\nGSK has been targeting both of these at-risk populations with its RSVPreF3, a recombinant protein vaccine. Separate studies were initiated to dose adults over 60 and pregnant women who would then pass protective antibodies against RSV to their newborn infants. But the company put a stop to its trial in the maternal cohort in February, without providing details as to why the trial was halted.\nFortunately, the company has fared better in the older adult category. Mid-June, the company announced strong performance against both the RSV A and B strains during an interim analysis of the ongoing phase 3 trial. The trial will continue to test annual boosters and also see whether the protection from a single shot lasts several years. In the meantime, however, the results were sufficiently promising that the company will proceed with a regulatory submission this year.\nHotly contested race to bring a vaccine to market\nWith this announcement, GSK becomes the first company to release promising phase 3 results in the older age group. But Pfizer, Johnson & Johnson, and Moderna also have vaccine candidates in late-stage trials and are expecting results soon.\nPfizer's RSVpreF vaccine may be most similar to GSK's, as it also carries a protein subunit to trigger an immune response against the RSV protein. Moderna has taken the same messenger RNA (mRNA) approach as its coronavirus vaccine, while J&J includes a combined DNA and protein vaccine that simultaneously delivers protein synthesized in the laboratory along with an adenovirus vector to stimulate protein production in the body.\nAll three competitors started their trials last fall and should release preliminary results later this year or next year. Pfizer may be the closest, with interim results expected imminently from studies in both elderly and maternal groups.\nFirst-mover windfalls\nSince the market is wide open for a working treatment, RSV offers a substantial opportunity to the first entrant. Even after a one-time sales boost in dosing a large group of unvaccinated people, the vaccine could generate significant recurring revenue because of a continuously aging population and the likely need for boosters to maintain protection as the immune system naturally weakens with age.\nSome analysts expect that combined revenue from RSV vaccines could exceed $6 billion by 2025 and grow to $10 billion by 2030 and that GSK will capture roughly one-quarter of the market. For its part, GSK estimates a peak revenue of $3.5 billion from its vaccine.\nThis is a sizable chunk compared to GSK's full-year sales of $41.3 billion last year, but will become even more significant after the company spins off its consumer health segment later this summer. After removing the $11.6 billion generated by soon-to-be Haleon, the vaccine could boost GSK's sales by 12%. This may be one factor contributing to management's guidance of high-single-digit growth over the next five years.\nGSK certainly looks on pace to receive a nice bump in sales and is trading at a price-to-earnings of 15.4 which is on the low end for pharmaceutical stocks. On the other hand, GSK still needs regulatory approval to launch its RSV vaccine, and the major upcoming restructuring will cause the company to lose its steady, albeit low-growth income coming from the consumer health segment. Management plans to cut the company's generous 4.6% dividend after the spinoff.\nOverall, the positive RSV results are good news for GSK's future, but probably aren't a stand-alone reason to buy the stock right now.\n10 stocks we like better than GlaxoSmithKline\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 GlaxoSmithKline 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\nNatalie Forbes has no position in any of the stocks mentioned. The Motley Fool recommends GlaxoSmithKline, Johnson & Johnson, and Moderna 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': "Hotly contested race to bring a vaccine to market With this announcement, GSK becomes the first company to release promising phase 3 results in the older age group. This is a sizable chunk compared to GSK's full-year sales of $41.3 billion last year, but will become even more significant after the company spins off its consumer health segment later this summer. On the other hand, GSK still needs regulatory approval to launch its RSV vaccine, and the major upcoming restructuring will cause the company to lose its steady, albeit low-growth income coming from the consumer health segment.", 'news_luhn_summary': 'Hotly contested race to bring a vaccine to market With this announcement, GSK becomes the first company to release promising phase 3 results in the older age group. Some analysts expect that combined revenue from RSV vaccines could exceed $6 billion by 2025 and grow to $10 billion by 2030 and that GSK will capture roughly one-quarter of the market. U.K.-based pharmaceutical GSK (NYSE: GSK) formally known as GlaxoSmithKline, has delivered mixed results from its pivotal clinical trials, but recent news tips the race in its favor.', 'news_article_title': "How Its New Vaccine Could Propel GSK's Growth", 'news_lexrank_summary': "Hotly contested race to bring a vaccine to market With this announcement, GSK becomes the first company to release promising phase 3 results in the older age group. After removing the $11.6 billion generated by soon-to-be Haleon, the vaccine could boost GSK's sales by 12%. U.K.-based pharmaceutical GSK (NYSE: GSK) formally known as GlaxoSmithKline, has delivered mixed results from its pivotal clinical trials, but recent news tips the race in its favor.", 'news_textrank_summary': 'About 58,000 children under the age of five and 177,000 adults over the age of 65 are hospitalized with it each year in the U.S. GSK has been targeting both of these at-risk populations with its RSVPreF3, a recombinant protein vaccine. Hotly contested race to bring a vaccine to market With this announcement, GSK becomes the first company to release promising phase 3 results in the older age group. Some analysts expect that combined revenue from RSV vaccines could exceed $6 billion by 2025 and grow to $10 billion by 2030 and that GSK will capture roughly one-quarter of the market.'}], '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': 42.18999862670898, 'high': 42.59999847412109, 'open': 42.2400016784668, 'close': 42.27000045776367, 'ema_50': 43.35872720293379, 'rsi_14': 58.99279736429364, 'target': 41.43999862670898, 'volume': 4086100.0, 'ema_200': 42.78750002852415, 'adj_close': 39.78804016113281, 'rsi_lag_1': 55.97269824530568, 'rsi_lag_2': 63.19843237446611, 'rsi_lag_3': 66.43230998102038, 'rsi_lag_4': 55.91714891131682, 'rsi_lag_5': 49.67149009206899, 'macd_lag_1': -0.09128876931558239, 'macd_lag_2': -0.02360435280546369, 'macd_lag_3': -0.036652860355800954, 'macd_lag_4': -0.03139264342311776, 'macd_lag_5': -0.043567388262360396, 'macd_12_26_9': -0.1488615639540356, 'macds_12_26_9': -0.14054183875198295}, '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': 41.43999862670898, '2022-07-13': 40.91999816894531, '2022-07-14': 40.220001220703125, '2022-07-15': 41.25, '2022-07-18': 40.40999984741211, '2022-07-19': 43.90999984741211, '2022-07-20': 41.59999847412109, '2022-07-21': 41.97999954223633, '2022-07-22': 42.290000915527344, '2022-07-25': 42.15999984741211}, '1_month_later': {'2022-08-11': 35.72999954223633}, '3_months_later': {'2022-10-11': 30.43000030517578}, '6_months_later': {'2023-01-11': 34.66999816894531}, '12_months_later': {'2023-07-11': 34.119998931884766}}
|
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.
|
GSL
|
{'date': '2022-07-11', 'ticker': 'GSL', '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': 15.34000015258789, 'high': 15.8100004196167, 'open': 15.720000267028809, 'close': 15.369999885559082, 'ema_50': 19.91385478393729, 'rsi_14': 26.121793671668613, 'target': 15.31999969482422, 'volume': 388500.0, 'ema_200': 21.892556410766637, 'adj_close': 13.603411674499512, 'rsi_lag_1': 27.34899065751351, 'rsi_lag_2': 21.052636576865737, 'rsi_lag_3': 13.719505502453302, 'rsi_lag_4': 24.926259039861037, 'rsi_lag_5': 21.04608206158953, 'macd_lag_1': -1.5665158795890832, 'macd_lag_2': -1.6089695308803016, 'macd_lag_3': -1.6244799460106591, 'macd_lag_4': -1.5615934418654298, 'macd_lag_5': -1.5166497379946016, 'macd_12_26_9': -1.559277098156418, 'macds_12_26_9': -1.4983507902703328}, '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': 15.31999969482422, '2022-07-13': 15.5, '2022-07-14': 15.199999809265137, '2022-07-15': 15.710000038146973, '2022-07-18': 16.690000534057617, '2022-07-19': 17.399999618530273, '2022-07-20': 17.8799991607666, '2022-07-21': 17.770000457763672, '2022-07-22': 17.3700008392334, '2022-07-25': 17.3700008392334}, '1_month_later': {'2022-08-11': 20.530000686645508}, '3_months_later': {'2022-10-11': 16.059999465942383}, '6_months_later': {'2023-01-11': 17.469999313354492}, '12_months_later': {'2023-07-11': 20.64999961853028}}
|
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.
|
GSY
|
{'date': '2022-07-11', 'ticker': 'GSY', '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': 49.52999877929688, 'high': 49.56999969482422, 'open': 49.540000915527344, 'close': 49.54999923706055, 'ema_50': 49.642686396266605, 'rsi_14': 51.99969481956195, 'target': 49.56999969482422, 'volume': 499700.0, 'ema_200': 49.95627757472588, 'adj_close': 46.52323532104492, 'rsi_lag_1': 52.000427246092265, 'rsi_lag_2': 50.0, 'rsi_lag_3': 52.00042724609375, 'rsi_lag_4': 56.52137857829967, 'rsi_lag_5': 40.00050862112812, 'macd_lag_1': -0.030402096521733313, 'macd_lag_2': -0.03129132731081796, 'macd_lag_3': -0.03298917349501096, 'macd_lag_4': -0.035694799426373436, 'macd_lag_5': -0.041683386060974215, 'macd_12_26_9': -0.028561356191211473, 'macds_12_26_9': -0.03660008025507004}, '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': 49.56999969482422, '2022-07-13': 49.560001373291016, '2022-07-14': 49.52999877929688, '2022-07-15': 49.540000915527344, '2022-07-18': 49.4900016784668, '2022-07-19': 49.4900016784668, '2022-07-20': 49.47999954223633, '2022-07-21': 49.5099983215332, '2022-07-22': 49.54999923706055, '2022-07-25': 49.560001373291016}, '1_month_later': {'2022-08-11': 49.59000015258789}, '3_months_later': {'2022-10-11': 49.38999938964844}, '6_months_later': {'2023-01-11': 49.58000183105469}, '12_months_later': {'2023-07-11': 49.72999954223633}}
|
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.
|
GT
|
{'date': '2022-07-11', 'ticker': 'GT', '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': 10.710000038146973, 'high': 11.079999923706056, 'open': 11.029999732971191, 'close': 10.729999542236328, 'ema_50': 12.084005171649594, 'rsi_14': 45.88527705657665, 'target': 10.949999809265137, 'volume': 2767200.0, 'ema_200': 14.989659157703615, 'adj_close': 10.729999542236328, 'rsi_lag_1': 53.56201045569015, 'rsi_lag_2': 40.82969250457782, 'rsi_lag_3': 42.58474820271801, 'rsi_lag_4': 48.20144345580463, 'rsi_lag_5': 35.69979959299582, 'macd_lag_1': -0.38304248598463886, 'macd_lag_2': -0.4135290976443411, 'macd_lag_3': -0.4301351408136451, 'macd_lag_4': -0.3951830935331433, 'macd_lag_5': -0.4028598833090413, 'macd_12_26_9': -0.38749842410447677, 'macds_12_26_9': -0.38143889036316003}, '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': 10.949999809265137, '2022-07-13': 10.899999618530272, '2022-07-14': 10.829999923706056, '2022-07-15': 11.039999961853027, '2022-07-18': 10.90999984741211, '2022-07-19': 11.619999885559082, '2022-07-20': 11.93000030517578, '2022-07-21': 11.869999885559082, '2022-07-22': 11.720000267028809, '2022-07-25': 11.609999656677246}, '1_month_later': {'2022-08-11': 14.520000457763672}, '3_months_later': {'2022-10-11': 11.119999885559082}, '6_months_later': {'2023-01-11': 11.729999542236328}, '12_months_later': {'2023-07-11': 14.289999961853027}}
|
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.
|
GTE
|
{'date': '2022-07-11', 'ticker': 'GTE', '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': 10.600000381469728, 'high': 11.100000381469728, 'open': 10.899999618530272, 'close': 10.899999618530272, 'ema_50': 14.31710528318319, 'rsi_14': 30.58823635008909, 'target': 10.5, 'volume': 286410.0, 'ema_200': 12.39166865227152, 'adj_close': 10.899999618530272, 'rsi_lag_1': 28.26087136800423, 'rsi_lag_2': 23.80952164699721, 'rsi_lag_3': 19.000005722045913, 'rsi_lag_4': 21.42856725798373, 'rsi_lag_5': 18.749996806893705, 'macd_lag_1': -1.473629519654784, 'macd_lag_2': -1.5154528773295493, 'macd_lag_3': -1.536609882250902, 'macd_lag_4': -1.4801723739604284, 'macd_lag_5': -1.4273350445533346, 'macd_12_26_9': -1.455977310488258, 'macds_12_26_9': -1.333651423816887}, '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': 10.5, '2022-07-13': 10.899999618530272, '2022-07-14': 10.600000381469728, '2022-07-15': 10.800000190734863, '2022-07-18': 11.5, '2022-07-19': 12.199999809265137, '2022-07-20': 12.699999809265137, '2022-07-21': 12.0, '2022-07-22': 11.5, '2022-07-25': 12.199999809265137}, '1_month_later': {'2022-08-11': 12.5}, '3_months_later': {'2022-10-11': 13.100000381469728}, '6_months_later': {'2023-01-11': 9.100000381469728}, '12_months_later': {'2023-07-11': 5.699999809265137}}
|
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.
|
GTEC
|
{'date': '2022-07-11', 'ticker': 'GTEC', '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': 4.170000076293945, 'high': 4.420000076293945, 'open': 4.420000076293945, 'close': 4.190000057220459, 'ema_50': 3.971416270614556, 'rsi_14': 75.00001396984413, 'target': 4.349999904632568, 'volume': 14700.0, 'ema_200': 5.04248753741231, 'adj_close': 4.190000057220459, 'rsi_lag_1': 91.3043532344497, 'rsi_lag_2': 69.5364272917046, 'rsi_lag_3': 65.92592631838465, 'rsi_lag_4': 66.42336363454424, 'rsi_lag_5': 48.618778853925505, 'macd_lag_1': 0.14747927554127704, 'macd_lag_2': 0.12745890063823673, 'macd_lag_3': 0.10005167447998309, 'macd_lag_4': 0.0911056977035285, 'macd_lag_5': 0.07938036104135149, 'macd_12_26_9': 0.14393423813616257, 'macds_12_26_9': 0.10290832180150941}, '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': 4.349999904632568, '2022-07-13': 4.329999923706055, '2022-07-14': 4.317999839782715, '2022-07-15': 4.304999828338623, '2022-07-18': 4.369999885559082, '2022-07-19': 4.480000019073486, '2022-07-20': 4.389999866485596, '2022-07-21': 4.650000095367432, '2022-07-22': 4.619999885559082, '2022-07-25': 4.214000225067139}, '1_month_later': {'2022-08-11': 4.46999979019165}, '3_months_later': {'2022-10-11': 2.2300000190734863}, '6_months_later': {'2023-01-11': 2.569999933242798}, '12_months_later': {'2023-07-11': 1.659999966621399}}
|
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.
|
GTES
|
{'date': '2022-07-11', 'ticker': 'GTES', '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': 10.795000076293944, 'high': 11.050000190734863, 'open': 11.0, 'close': 10.880000114440918, 'ema_50': 12.014689664503187, 'rsi_14': 48.45361939678522, 'target': 11.0, 'volume': 628900.0, 'ema_200': 14.103325434121205, 'adj_close': 10.880000114440918, 'rsi_lag_1': 54.80227115005804, 'rsi_lag_2': 45.971556055343925, 'rsi_lag_3': 36.31279945571177, 'rsi_lag_4': 40.62499534338036, 'rsi_lag_5': 30.70863687921478, 'macd_lag_1': -0.3526334141110361, 'macd_lag_2': -0.3783940971957147, 'macd_lag_3': -0.4271520042577315, 'macd_lag_4': -0.44346257788936505, 'macd_lag_5': -0.45579412304807043, 'macd_12_26_9': -0.344386329081674, 'macds_12_26_9': -0.40147620465318035}, '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': 11.0, '2022-07-13': 10.760000228881836, '2022-07-14': 10.579999923706056, '2022-07-15': 10.899999618530272, '2022-07-18': 10.869999885559082, '2022-07-19': 11.369999885559082, '2022-07-20': 11.619999885559082, '2022-07-21': 11.619999885559082, '2022-07-22': 11.65999984741211, '2022-07-25': 11.670000076293944}, '1_month_later': {'2022-08-11': 12.289999961853027}, '3_months_later': {'2022-10-11': 9.699999809265137}, '6_months_later': {'2023-01-11': 12.65999984741211}, '12_months_later': {'2023-07-11': 13.640000343322754}}
|
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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