ticker
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AXP
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{'date': '2022-07-11', 'ticker': 'AXP', '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': 139.83999633789062, 'high': 142.30999755859375, 'open': 140.47000122070312, 'close': 140.5800018310547, 'ema_50': 154.53255575002817, 'rsi_14': 42.66505332183432, 'target': 139.17999267578125, 'volume': 2373600.0, 'ema_200': 165.02903751799238, 'adj_close': 138.00433349609375, 'rsi_lag_1': 57.09053838038382, 'rsi_lag_2': 43.176436224037396, 'rsi_lag_3': 41.229243766386496, 'rsi_lag_4': 41.01731105779889, 'rsi_lag_5': 34.190335752005, 'macd_lag_1': -5.34519734977448, 'macd_lag_2': -5.728816740075672, 'macd_lag_3': -6.060799498855005, 'macd_lag_4': -6.103136275645454, 'macd_lag_5': -6.221127779466826, 'macd_12_26_9': -5.077857387352708, 'macds_12_26_9': -5.686786027844228}, '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': 139.17999267578125, '2022-07-13': 139.39999389648438, '2022-07-14': 136.47999572753906, '2022-07-15': 142.47999572753906, '2022-07-18': 142.3300018310547, '2022-07-19': 147.77999877929688, '2022-07-20': 148.92999267578125, '2022-07-21': 150.17999267578125, '2022-07-22': 153.00999450683594, '2022-07-25': 153.7899932861328}, '1_month_later': {'2022-08-11': 162.99000549316406}, '3_months_later': {'2022-10-11': 137.35000610351562}, '6_months_later': {'2023-01-11': 153.9199981689453}, '12_months_later': {'2023-07-11': 174.63999938964844}}
|
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.
|
AXR
|
{'date': '2022-07-11', 'ticker': 'AXR', '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': 11.029999732971191, 'high': 12.31999969482422, 'open': 12.279999732971191, 'close': 11.029999732971191, 'ema_50': 11.844614528785298, 'rsi_14': 43.36569449442579, 'target': 11.289999961853027, 'volume': 1200.0, 'ema_200': 12.529607035614216, 'adj_close': 11.029999732971191, 'rsi_lag_1': 55.34590365062623, 'rsi_lag_2': 46.56084068731214, 'rsi_lag_3': 38.0530963493095, 'rsi_lag_4': 35.47484895038467, 'rsi_lag_5': 31.67081511401534, 'macd_lag_1': -0.27838143439974594, 'macd_lag_2': -0.30874695154173004, 'macd_lag_3': -0.3562499039599718, 'macd_lag_4': -0.3638446527201076, 'macd_lag_5': -0.36620961776208816, 'macd_12_26_9': -0.27774312930608147, 'macds_12_26_9': -0.32014994301967237}, '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': 11.289999961853027, '2022-07-13': 11.170000076293944, '2022-07-14': 11.199999809265137, '2022-07-15': 11.170000076293944, '2022-07-18': 11.100000381469728, '2022-07-19': 11.510000228881836, '2022-07-20': 11.5, '2022-07-21': 12.0, '2022-07-22': 12.899999618530272, '2022-07-25': 13.869999885559082}, '1_month_later': {'2022-08-11': 16.0}, '3_months_later': {'2022-10-11': 10.800000190734863}, '6_months_later': {'2023-01-11': 12.079999923706056}, '12_months_later': {'2023-07-11': 18.299999237060547}}
|
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.
|
AXS
|
{'date': '2022-07-11', 'ticker': 'AXS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 54.369998931884766, 'high': 55.16999816894531, 'open': 54.790000915527344, 'close': 54.75, 'ema_50': 56.41943411891466, 'rsi_14': 50.308014968951795, 'target': 54.65999984741211, 'volume': 339400.0, 'ema_200': 54.94390304043126, 'adj_close': 52.129207611083984, 'rsi_lag_1': 56.98112338410838, 'rsi_lag_2': 50.713693857764724, 'rsi_lag_3': 54.62963587328404, 'rsi_lag_4': 54.244479864043996, 'rsi_lag_5': 57.98548754027584, 'macd_lag_1': -0.20972863611991954, 'macd_lag_2': -0.11457185168924866, 'macd_lag_3': -0.05457824500695807, 'macd_lag_4': -0.026083402305523862, 'macd_lag_5': 0.05546602226465325, 'macd_12_26_9': -0.304227687385648, 'macds_12_26_9': -0.1792715444447286}, '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': 54.65999984741211, '2022-07-13': 53.70000076293945, '2022-07-14': 51.959999084472656, '2022-07-15': 51.869998931884766, '2022-07-18': 51.79999923706055, '2022-07-19': 53.38999938964844, '2022-07-20': 53.810001373291016, '2022-07-21': 54.0, '2022-07-22': 53.5, '2022-07-25': 54.27999877929688}, '1_month_later': {'2022-08-11': 53.31999969482422}, '3_months_later': {'2022-10-11': 50.220001220703125}, '6_months_later': {'2023-01-11': 56.65999984741211}, '12_months_later': {'2023-07-11': 53.59999847412109}}
|
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.
|
AXTA
|
{'date': '2022-07-11', 'ticker': 'AXTA', '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': 22.51000022888184, 'high': 23.049999237060547, 'open': 22.729999542236328, 'close': 22.68000030517578, 'ema_50': 24.676676657085505, 'rsi_14': 43.33996038934176, 'target': 23.030000686645508, 'volume': 1296700.0, 'ema_200': 27.122047145213354, 'adj_close': 22.68000030517578, 'rsi_lag_1': 52.462123059372324, 'rsi_lag_2': 41.29129223731999, 'rsi_lag_3': 38.5691978931956, 'rsi_lag_4': 38.75970344733158, 'rsi_lag_5': 29.01961077639025, 'macd_lag_1': -0.7900556940299701, 'macd_lag_2': -0.8310034825597121, 'macd_lag_3': -0.8691440172008704, 'macd_lag_4': -0.8776921581930885, 'macd_lag_5': -0.8717636368348778, 'macd_12_26_9': -0.7760931289321391, 'macds_12_26_9': -0.7710473892319412}, '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': 23.030000686645508, '2022-07-13': 22.96999931335449, '2022-07-14': 22.959999084472656, '2022-07-15': 23.270000457763672, '2022-07-18': 23.059999465942383, '2022-07-19': 24.1299991607666, '2022-07-20': 24.450000762939453, '2022-07-21': 25.3799991607666, '2022-07-22': 26.09000015258789, '2022-07-25': 25.989999771118164}, '1_month_later': {'2022-08-11': 26.440000534057617}, '3_months_later': {'2022-10-11': 21.57999992370605}, '6_months_later': {'2023-01-11': 27.450000762939453}, '12_months_later': {'2023-07-11': 33.029998779296875}}
|
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.
|
AY
|
{'date': '2022-07-11', 'ticker': 'AY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.77000045776367, 'high': 33.68000030517578, 'open': 33.560001373291016, 'close': 33.20000076293945, 'ema_50': 32.71409424286329, 'rsi_14': 64.98423880244982, 'target': 32.2400016784668, 'volume': 442300.0, 'ema_200': 34.009889719893614, 'adj_close': 29.84575080871582, 'rsi_lag_1': 71.16280568963678, 'rsi_lag_2': 56.73671280611293, 'rsi_lag_3': 58.96835031350499, 'rsi_lag_4': 53.96825843061101, 'rsi_lag_5': 51.018234093260986, 'macd_lag_1': 0.2147710805762344, 'macd_lag_2': 0.16631866930939765, 'macd_lag_3': 0.09900217166497782, 'macd_lag_4': 0.05338724936566308, 'macd_lag_5': 0.021880435157882516, 'macd_12_26_9': 0.22156684036608, 'macds_12_26_9': 0.0838489839937209}, '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': 32.2400016784668, '2022-07-13': 32.189998626708984, '2022-07-14': 32.02000045776367, '2022-07-15': 32.31999969482422, '2022-07-18': 32.150001525878906, '2022-07-19': 33.130001068115234, '2022-07-20': 32.540000915527344, '2022-07-21': 32.16999816894531, '2022-07-22': 32.52000045776367, '2022-07-25': 33.310001373291016}, '1_month_later': {'2022-08-11': 35.380001068115234}, '3_months_later': {'2022-10-11': 25.89999961853028}, '6_months_later': {'2023-01-11': 26.89999961853028}, '12_months_later': {'2023-07-11': 23.229999542236328}}
|
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.
|
AZEK
|
{'date': '2022-07-11', 'ticker': 'AZEK', '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': 17.3799991607666, 'high': 17.899999618530273, 'open': 17.709999084472656, 'close': 17.520000457763672, 'ema_50': 19.694788927174386, 'rsi_14': 56.260432302516236, 'target': 17.860000610351562, 'volume': 757700.0, 'ema_200': 27.926200387325803, 'adj_close': 17.520000457763672, 'rsi_lag_1': 67.0261875334392, 'rsi_lag_2': 47.656250332615095, 'rsi_lag_3': 41.95804856490941, 'rsi_lag_4': 43.77266850282599, 'rsi_lag_5': 35.6919855819508, 'macd_lag_1': -0.6879398326342532, 'macd_lag_2': -0.7731828647804377, 'macd_lag_3': -0.8625922282728702, 'macd_lag_4': -0.8959461029511324, 'macd_lag_5': -0.9590858246385316, 'macd_12_26_9': -0.6516047728390326, 'macds_12_26_9': -0.8025483347971843}, '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': 17.860000610351562, '2022-07-13': 17.829999923706055, '2022-07-14': 17.68000030517578, '2022-07-15': 18.270000457763672, '2022-07-18': 18.700000762939453, '2022-07-19': 19.950000762939453, '2022-07-20': 20.26000022888184, '2022-07-21': 20.57999992370605, '2022-07-22': 20.479999542236328, '2022-07-25': 19.57999992370605}, '1_month_later': {'2022-08-11': 21.170000076293945}, '3_months_later': {'2022-10-11': 17.239999771118164}, '6_months_later': {'2023-01-11': 23.479999542236328}, '12_months_later': {'2023-07-11': 29.90999984741211}}
|
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.
|
AZN
|
{'date': '2022-07-11', 'ticker': 'AZN', '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': 66.12999725341797, 'high': 67.55000305175781, 'open': 66.12999725341797, 'close': 66.73999786376953, 'ema_50': 64.90435559287177, 'rsi_14': 75.4733887891931, 'target': 66.72000122070312, 'volume': 7131000.0, 'ema_200': 61.95376812160921, 'adj_close': 64.89765167236328, 'rsi_lag_1': 77.61735536677921, 'rsi_lag_2': 78.07252046143375, 'rsi_lag_3': 79.65547531507264, 'rsi_lag_4': 72.99333607847052, 'rsi_lag_5': 65.6390792412827, 'macd_lag_1': 0.664120772044754, 'macd_lag_2': 0.5959145044103167, 'macd_lag_3': 0.5063002764333646, 'macd_lag_4': 0.4283374161398399, 'macd_lag_5': 0.4223794770252738, 'macd_12_26_9': 0.6908446657846383, 'macds_12_26_9': 0.3790597984874504}, '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': 66.72000122070312, '2022-07-13': 66.30000305175781, '2022-07-14': 65.08000183105469, '2022-07-15': 67.36000061035156, '2022-07-18': 66.37000274658203, '2022-07-19': 68.16000366210938, '2022-07-20': 65.79000091552734, '2022-07-21': 65.36000061035156, '2022-07-22': 65.25, '2022-07-25': 66.16000366210938}, '1_month_later': {'2022-08-11': 64.6500015258789}, '3_months_later': {'2022-10-11': 55.29999923706055}, '6_months_later': {'2023-01-11': 70.44999694824219}, '12_months_later': {'2023-07-11': 64.86000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AZO
|
{'date': '2022-07-11', 'ticker': 'AZO', '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': 2160.010009765625, 'high': 2189.22998046875, 'open': 2188.239990234375, 'close': 2160.010009765625, 'ema_50': 2072.5951120916557, 'rsi_14': 74.70636882841451, 'target': 2158.60009765625, 'volume': 129000.0, 'ema_200': 1927.6513100299214, 'adj_close': 2160.010009765625, 'rsi_lag_1': 77.86559024129093, 'rsi_lag_2': 73.8851199643166, 'rsi_lag_3': 69.54251606370562, 'rsi_lag_4': 67.63199559727646, 'rsi_lag_5': 63.98547859890968, 'macd_lag_1': 38.34001935038668, 'macd_lag_2': 37.00935784006924, 'macd_lag_3': 36.174670296044496, 'macd_lag_4': 34.691061683274256, 'macd_lag_5': 35.057218889627165, 'macd_12_26_9': 37.161924849313436, 'macds_12_26_9': 33.15270973004612}, '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': 2158.60009765625, '2022-07-13': 2174.889892578125, '2022-07-14': 2175.340087890625, '2022-07-15': 2215.030029296875, '2022-07-18': 2191.800048828125, '2022-07-19': 2224.320068359375, '2022-07-20': 2194.530029296875, '2022-07-21': 2138.75, '2022-07-22': 2147.6201171875, '2022-07-25': 2144.8701171875}, '1_month_later': {'2022-08-11': 2230.830078125}, '3_months_later': {'2022-10-11': 2267.510009765625}, '6_months_later': {'2023-01-11': 2433.22998046875}, '12_months_later': {'2023-07-11': 2553.010009765625}}
|
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.
|
AZZ
|
{'date': '2022-07-11', 'ticker': 'AZZ', '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': 41.58000183105469, 'high': 42.880001068115234, 'open': 42.880001068115234, 'close': 42.0099983215332, 'ema_50': 43.48788090470072, 'rsi_14': 48.47746633447976, 'target': 40.09000015258789, 'volume': 221700.0, 'ema_200': 47.53541358766354, 'adj_close': 40.96324920654297, 'rsi_lag_1': 42.83782634358581, 'rsi_lag_2': 36.06369982358647, 'rsi_lag_3': 38.037495909820095, 'rsi_lag_4': 41.62789129707717, 'rsi_lag_5': 36.567931271499084, 'macd_lag_1': -0.9520779009129896, 'macd_lag_2': -1.002862187702675, 'macd_lag_3': -1.0663307906830326, 'macd_lag_4': -1.0575023154130605, 'macd_lag_5': -1.091942872482072, 'macd_12_26_9': -0.8232631497635978, 'macds_12_26_9': -0.9600686593452069}, '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': 40.09000015258789, '2022-07-13': 40.02000045776367, '2022-07-14': 38.66999816894531, '2022-07-15': 39.650001525878906, '2022-07-18': 39.18999862670898, '2022-07-19': 40.68999862670898, '2022-07-20': 41.470001220703125, '2022-07-21': 40.88999938964844, '2022-07-22': 40.400001525878906, '2022-07-25': 40.560001373291016}, '1_month_later': {'2022-08-11': 45.810001373291016}, '3_months_later': {'2022-10-11': 30.40999984741211}, '6_months_later': {'2023-01-11': 44.459999084472656}, '12_months_later': {'2023-07-11': 42.869998931884766}}
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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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B
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{'date': '2022-07-11', 'ticker': 'B', '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': 30.049999237060547, 'high': 30.6200008392334, 'open': 30.540000915527344, 'close': 30.450000762939453, 'ema_50': 33.804662607588895, 'rsi_14': 38.563329417677835, 'target': 30.81999969482422, 'volume': 150300.0, 'ema_200': 39.93245289855512, 'adj_close': 29.640783309936523, 'rsi_lag_1': 45.26901236450826, 'rsi_lag_2': 33.152169687759596, 'rsi_lag_3': 32.60272254592009, 'rsi_lag_4': 37.19248134537953, 'rsi_lag_5': 30.164314046278704, 'macd_lag_1': -1.0419413341953572, 'macd_lag_2': -1.058382457117684, 'macd_lag_3': -1.0751727167799174, 'macd_lag_4': -1.0483825306680856, 'macd_lag_5': -1.057993848543891, 'macd_12_26_9': -1.0411177002844454, 'macds_12_26_9': -1.0126115145966785}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 30.81999969482422, '2022-07-13': 30.600000381469727, '2022-07-14': 30.31999969482422, '2022-07-15': 30.90999984741211, '2022-07-18': 30.89999961853028, '2022-07-19': 32.220001220703125, '2022-07-20': 32.61000061035156, '2022-07-21': 32.56999969482422, '2022-07-22': 32.560001373291016, '2022-07-25': 32.900001525878906}, '1_month_later': {'2022-08-11': 34.709999084472656}, '3_months_later': {'2022-10-11': 32.560001373291016}, '6_months_later': {'2023-01-11': 43.27999877929688}, '12_months_later': {'2023-07-11': 41.59999847412109}}
|
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.
|
BB
|
{'date': '2022-07-11', 'ticker': 'BB', '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/the-road-to-better-tech-is-strewn-with-losers...-heres-how-to-find-the-next-winner', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nWe spoke a lot about hyperscalability last week. As you may recall, hyerpscalability is the capacity of a business to massively grow revenues while minimally growing the costs associated with producing those revenues — and the most successful companies have harnessed the magic of hyperscalability.\nIn fact, it’s how legendary Whitney Tilson, dubbed “The Prophet” by CNBC for accurately predicting many major market moves, and I have found many big winners over the years.\nHowever, there is a downside to hyperscalability. The truth is, while it can be great for group of employees, executives and shareholders, it can also be devastating to others.\nSo, today, I am sharing an article by Whitney, where he discusses how some have become “victims” of hyperscalability — and how to make sure that you’re not one of them.\nSimple read the article below for full details.\nAs technology evolves, the victims always pile up…\nTake camera and film maker Kodak, for instance.\nThe company traces its roots all the way back to the 1880s. Kodak mastered the “razor and blades” business model… it would sell inexpensive cameras (the razor) and then make large profits from its film sales (blades).\nFor decades, Kodak had a bulletproof global franchise… until digital cameras came along, which put Kodak’s business in peril.\nIronically, it was a 24-year-old Kodak engineer named Steven Sasson who developed the first digital camera in 1975 using leftover parts from around Kodak’s factories. Sasson’s prototype was the size of a toaster and took 23 seconds to take a black-and-white photo. As he later told the New York Times…\nBut it was filmless photography, so management’s reaction was, “That’s cute — but don’t tell anyone about it.”\nEvery digital camera that was sold took away from a film camera and we knew how much money we made on film. That was the argument. Of course, the problem is pretty soon you won’t be able to sell film — and that was my position.\nSony (NYSE:SONY), Nikon, Fujifilm, Panasonic, Olympus, and more eventually went all-in on digital photography… leaving the stubborn Kodak in the dust.\nBill Miller at Legg Mason’s Value Trust — one of the most famous and successful value investors ever — got sucked into the value trap that was Kodak’s stock. Long after the advent of digital cameras, Miller made a massive bet on Kodak around the start of the 21st century.\nMiller wasn’t a fool… obviously, he could see the shift toward digital cameras. But he believed it would happen slowly, which would allow Kodak to continue to earn big profits for many more years. Plus, he thought the company could successfully compete in the new arena.\nHe couldn’t have been more wrong…\nConsumers rapidly switched to digital photography and stopped buying film. And Kodak failed to compete effectively in the new world.\nKodak’s business declined precipitously, and in 2012 the company filed for bankruptcy protection.\nBut just as digital cameras all but killed off film, another disruptive technology has made digital cameras a relic of the past…\nI’m talking about smartphones.\nWhen Apple (NASDAQ:AAPL) introduced the first iPhone in 2007, it had a small 3.5-inch screen and a low-resolution, two-megapixel camera…\nIt was met with heavy skepticism from Apple’s competitors. Executives across the tech industry didn’t think the iPhone would be a serious player.\nAs then-Palm CEO Ed Colligan, whose company focused on personal digital assistants, said…\nWe’ve learned and struggled for a few years here figuring out how to make a decent phone… PC guys are not going to just figure this out. They’re not going to just walk in.\nAnssi Vanjoki, the former chief strategy officer at Nokia, also wrote off the iPhone, saying…\nEven with the Mac, Apple attracted a lot of attention at first, but they have remained a niche manufacturer. That will be their role in mobile phones as well.\nSteve Ballmer, who was the CEO of Microsoft (NASDAQ:MSFT) at the time, famously dismissed the iPhone, saying…\nThat is the most expensive phone in the world. And it doesn’t appeal to business customers because it doesn’t have a keyboard. Which makes it not a very good e-mail machine.\nBlackBerry’s (NYSE:BB) co-CEO at the time, Jim Balsillie, shared the sentiment…\nIt’s kind of one more entrant into an already very busy space with lots of choice for consumers… But in terms of a sort of a sea-change for BlackBerry, I would think that’s overstating it.\nBut over the next 15 years, Apple sold more than 2.2 billion iPhones, becoming not only the bestselling smartphone but the bestselling consumer product of all time. The latest model, the iPhone 13, features a 12-megapixel camera and the ability to record high-resolution video in 4K.\nWithin a handful of years, people essentially stopped buying digital cameras altogether…\nKodak is a classic example of a business that was made obsolete by technology…\nThis has affected more than just Kodak and cameras, of course. Smartphones killed off a whole host of products, including pay phones, pagers, GPS devices, and alarm clocks.\nThe Internet made fax machines, phone books, and most print media obsolete. It led to the birth of streaming, which killed DVDs and is trying to do the same to cable TV… It also led to the cloud, which did away with flash drives and CD storage.\nThink about the dozens of businesses that retail giant Amazon (NASDAQ:AMZN) has wiped out, including big names like toy store Toys “R” Us, bookseller Barnes & Noble, and electronics retailer Circuit City.\nBut even as recently as a few years ago, executives at brick-and-mortar retailers were skeptical about Amazon. As Foot Locker (NYSE:FL) CEO Richard Johnson said in a 2017 earnings call…\nWe do not believe our vendors selling product directly on Amazon is an imminent threat. There is no indication that any of our vendors intend to sell premium athletic product, $100-plus sneakers that we offer, directly via that sort of distribution channel.\nAt the time, Foot Locker’s market cap exceeded $10 billion. Today, it’s worth just $2.4 billion.\nDisruptive travel company Airbnb (NASDAQ:ABNB) is taking a chunk out of the hotel business. It was founded just 14 years ago but its market cap sits at $60 billion, far bigger than its three biggest competitors. It sports higher margins and revenues than its peers, despite employing far fewer workers. Take a look…\nThe list goes on and on…\nStreaming giant Netflix (NASDAQ:NFLX) has delivered a crushing blow to movie theaters\nMusic streaming company Spotify (NYSE:SPOT) is disrupting radio\nZillow (NASDAQ:Z) and Redfin (NASDAQ:RDFN) are disrupting the archaic realtor business model\nExpedia (NASDAQ:EXPE) and Tripadvisor (NASDAQ:TRIP) made travel agents obsolete\nUber (NYSE:UBER) and Lyft (NASDAQ:LYFT) have squeezed taxis\nAs technology evolves, the victims always pile up.\nThe good news is that you can flip this on its head to find the likely winners of the next decade…\nAs billions of dollars flood into the Internet of Things, financial technology (“fintech”), artificial intelligence (“AI”), the metaverse, the blockchain, electric and self-driving cars, big data, genome sequencing, etc., we’ll see plenty of winners and losers.\nAnd when it comes to the winners, an upcoming event will give you the chance to make 5 to 10 times your money through a huge turning point in the market that most people will never see coming.\nIt could cause some of the best-known companies to crash or go bankrupt… while others could see their stocks go on to rise 10,000%. Learn more here.\nThe post The Road to Better Tech Is Strewn With Losers… Here’s How to Find the Next Winner 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': 'In fact, it’s how legendary Whitney Tilson, dubbed “The Prophet” by CNBC for accurately predicting many major market moves, and I have found many big winners over the years. Sony (NYSE:SONY), Nikon, Fujifilm, Panasonic, Olympus, and more eventually went all-in on digital photography… leaving the stubborn Kodak in the dust. BlackBerry’s (NYSE:BB) co-CEO at the time, Jim Balsillie, shared the sentiment… It’s kind of one more entrant into an already very busy space with lots of choice for consumers… But in terms of a sort of a sea-change for BlackBerry, I would think that’s overstating it.', 'news_luhn_summary': 'In fact, it’s how legendary Whitney Tilson, dubbed “The Prophet” by CNBC for accurately predicting many major market moves, and I have found many big winners over the years. Sony (NYSE:SONY), Nikon, Fujifilm, Panasonic, Olympus, and more eventually went all-in on digital photography… leaving the stubborn Kodak in the dust. BlackBerry’s (NYSE:BB) co-CEO at the time, Jim Balsillie, shared the sentiment… It’s kind of one more entrant into an already very busy space with lots of choice for consumers… But in terms of a sort of a sea-change for BlackBerry, I would think that’s overstating it.', 'news_article_title': 'The Road to Better Tech Is Strewn With Losers… Here’s How to Find the Next Winner', 'news_lexrank_summary': 'In fact, it’s how legendary Whitney Tilson, dubbed “The Prophet” by CNBC for accurately predicting many major market moves, and I have found many big winners over the years. Sony (NYSE:SONY), Nikon, Fujifilm, Panasonic, Olympus, and more eventually went all-in on digital photography… leaving the stubborn Kodak in the dust. BlackBerry’s (NYSE:BB) co-CEO at the time, Jim Balsillie, shared the sentiment… It’s kind of one more entrant into an already very busy space with lots of choice for consumers… But in terms of a sort of a sea-change for BlackBerry, I would think that’s overstating it.', 'news_textrank_summary': 'In fact, it’s how legendary Whitney Tilson, dubbed “The Prophet” by CNBC for accurately predicting many major market moves, and I have found many big winners over the years. Sony (NYSE:SONY), Nikon, Fujifilm, Panasonic, Olympus, and more eventually went all-in on digital photography… leaving the stubborn Kodak in the dust. BlackBerry’s (NYSE:BB) co-CEO at the time, Jim Balsillie, shared the sentiment… It’s kind of one more entrant into an already very busy space with lots of choice for consumers… But in terms of a sort of a sea-change for BlackBerry, I would think that’s overstating it.'}], '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': 5.670000076293945, 'high': 5.940000057220459, 'open': 5.849999904632568, 'close': 5.710000038146973, 'ema_50': 5.841129132367793, 'rsi_14': 62.74509483096945, 'target': 5.630000114440918, 'volume': 5341700.0, 'ema_200': 7.324411284495389, 'adj_close': 5.710000038146973, 'rsi_lag_1': 72.53885357494397, 'rsi_lag_2': 64.51613115878018, 'rsi_lag_3': 65.62500465661236, 'rsi_lag_4': 62.43902007856882, 'rsi_lag_5': 48.017617351330756, 'macd_lag_1': 0.0182990324953618, 'macd_lag_2': -0.004567439761025582, 'macd_lag_3': -0.04590510811958026, 'macd_lag_4': -0.0755993155232435, 'macd_lag_5': -0.09203663016225949, 'macd_12_26_9': 0.017658243909799864, 'macds_12_26_9': -0.04265969722736624}, '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': 5.630000114440918, '2022-07-13': 5.789999961853027, '2022-07-14': 5.619999885559082, '2022-07-15': 5.75, '2022-07-18': 5.75, '2022-07-19': 5.96999979019165, '2022-07-20': 6.170000076293945, '2022-07-21': 6.210000038146973, '2022-07-22': 5.929999828338623, '2022-07-25': 5.860000133514404}, '1_month_later': {'2022-08-11': 6.739999771118164}, '3_months_later': {'2022-10-11': 4.179999828338623}, '6_months_later': {'2023-01-11': 3.7100000381469727}, '12_months_later': {'2023-07-11': 4.920000076293945}}
|
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.
|
BAX
|
{'date': '2022-07-11', 'ticker': 'BAX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 64.22000122070312, 'high': 65.0, 'open': 64.63999938964844, 'close': 64.51000213623047, 'ema_50': 69.93357602897204, 'rsi_14': 53.75277155794187, 'target': 64.68000030517578, 'volume': 2530700.0, 'ema_200': 76.59277403473095, 'adj_close': 62.01900863647461, 'rsi_lag_1': 49.441619883258355, 'rsi_lag_2': 39.4012642843078, 'rsi_lag_3': 40.60266878023251, 'rsi_lag_4': 31.18145673332252, 'rsi_lag_5': 28.65133328836241, 'macd_lag_1': -1.8275856454646089, 'macd_lag_2': -1.9137906156128537, 'macd_lag_3': -1.9990369715397378, 'macd_lag_4': -2.068583756153515, 'macd_lag_5': -2.1557712186812665, 'macd_12_26_9': -1.7926660994755537, 'macds_12_26_9': -1.9574039393458547}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 64.68000030517578, '2022-07-13': 63.77999877929688, '2022-07-14': 63.41999816894531, '2022-07-15': 64.91000366210938, '2022-07-18': 64.36000061035156, '2022-07-19': 65.31999969482422, '2022-07-20': 65.58999633789062, '2022-07-21': 66.02999877929688, '2022-07-22': 66.16000366210938, '2022-07-25': 66.26000213623047}, '1_month_later': {'2022-08-11': 59.970001220703125}, '3_months_later': {'2022-10-11': 55.810001373291016}, '6_months_later': {'2023-01-11': 45.43999862670898}, '12_months_later': {'2023-07-11': 46.02999877929688}}
|
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.
|
BATRK
|
{'date': '2022-07-11', 'ticker': 'BATRK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.700000762939453, 'high': 25.21999931335449, 'open': 25.0, 'close': 24.75, 'ema_50': 24.88343007996931, 'rsi_14': 62.24899998314774, 'target': 24.8799991607666, 'volume': 59800.0, 'ema_200': 25.919269175422222, 'adj_close': 24.75, 'rsi_lag_1': 73.58487510481376, 'rsi_lag_2': 56.11510495210372, 'rsi_lag_3': 64.43147423496178, 'rsi_lag_4': 54.41594172105682, 'rsi_lag_5': 40.62500532183932, 'macd_lag_1': -0.028564510939187215, 'macd_lag_2': -0.08655411178855488, 'macd_lag_3': -0.1613473709462241, 'macd_lag_4': -0.23715479765285608, 'macd_lag_5': -0.29991773927366694, 'macd_12_26_9': -0.013118864854089196, 'macds_12_26_9': -0.15739606508311618}, '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': 24.8799991607666, '2022-07-13': 25.049999237060547, '2022-07-14': 25.040000915527344, '2022-07-15': 26.040000915527344, '2022-07-18': 26.36000061035156, '2022-07-19': 27.020000457763672, '2022-07-20': 27.3799991607666, '2022-07-21': 27.670000076293945, '2022-07-22': 27.3700008392334, '2022-07-25': 27.440000534057617}, '1_month_later': {'2022-08-11': 27.13999938964844}, '3_months_later': {'2022-10-11': 28.38999938964844}, '6_months_later': {'2023-01-11': 35.0}, '12_months_later': {'2023-07-11': 39.93000030517578}}
|
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.
|
BATRA
|
{'date': '2022-07-11', 'ticker': 'BATRA', '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': 25.88999938964844, 'high': 26.309999465942383, 'open': 26.11000061035156, 'close': 25.93000030517578, 'ema_50': 25.942099004215248, 'rsi_14': 60.063911391803416, 'target': 26.100000381469727, 'volume': 21500.0, 'ema_200': 26.787582060068416, 'adj_close': 25.93000030517578, 'rsi_lag_1': 69.36026741419343, 'rsi_lag_2': 56.89657723862867, 'rsi_lag_3': 62.02533540389465, 'rsi_lag_4': 56.45570097014064, 'rsi_lag_5': 45.11432994530941, 'macd_lag_1': 0.009405722674085126, 'macd_lag_2': -0.04857791659701505, 'macd_lag_3': -0.1137340906115547, 'macd_lag_4': -0.18506089074066168, 'macd_lag_5': -0.25100809986222217, 'macd_12_26_9': 0.02760479286324724, 'macds_12_26_9': -0.12157934843824104}, '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': 26.100000381469727, '2022-07-13': 26.350000381469727, '2022-07-14': 26.26000022888184, '2022-07-15': 27.270000457763672, '2022-07-18': 27.63999938964844, '2022-07-19': 28.299999237060547, '2022-07-20': 28.690000534057617, '2022-07-21': 28.88999938964844, '2022-07-22': 28.6200008392334, '2022-07-25': 28.780000686645508}, '1_month_later': {'2022-08-11': 28.13999938964844}, '3_months_later': {'2022-10-11': 28.8799991607666}, '6_months_later': {'2023-01-11': 35.5099983215332}, '12_months_later': {'2023-07-11': 41.22999954223633}}
|
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.
|
BAR
|
{'date': '2022-07-11', 'ticker': 'BAR', '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': 17.15999984741211, 'high': 17.270000457763672, 'open': 17.219999313354492, 'close': 17.15999984741211, 'ema_50': 18.15849303211895, 'rsi_14': 7.936536770192831, 'target': 17.100000381469727, 'volume': 834300.0, 'ema_200': 18.311050242475392, 'adj_close': 17.15999984741211, 'rsi_lag_1': 7.7519620541386445, 'rsi_lag_2': 19.04764994083287, 'rsi_lag_3': 30.409365857140543, 'rsi_lag_4': 32.70442816733781, 'rsi_lag_5': 30.588248493755998, 'macd_lag_1': -0.25955555675513153, 'macd_lag_2': -0.23667245060087083, 'macd_lag_3': -0.20300457252363913, 'macd_lag_4': -0.1560611183276528, 'macd_lag_5': -0.12034697110070525, 'macd_12_26_9': -0.28330099565896205, 'macds_12_26_9': -0.1956155672768415}, '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': 17.100000381469727, '2022-07-13': 17.190000534057617, '2022-07-14': 16.934999465942383, '2022-07-15': 16.90999984741211, '2022-07-18': 16.90999984741211, '2022-07-19': 16.959999084472656, '2022-07-20': 16.81999969482422, '2022-07-21': 17.040000915527344, '2022-07-22': 17.09000015258789, '2022-07-25': 17.040000915527344}, '1_month_later': {'2022-08-11': 17.700000762939453}, '3_months_later': {'2022-10-11': 16.514999389648438}, '6_months_later': {'2023-01-11': 18.57999992370605}, '12_months_later': {'2023-07-11': 19.1200008392334}}
|
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.
|
BAP
|
{'date': '2022-07-11', 'ticker': 'BAP', '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': 119.93000030517578, 'high': 123.04000091552734, 'open': 122.0500030517578, 'close': 120.38999938964844, 'ema_50': 131.02715508190576, 'rsi_14': 41.632645781650865, 'target': 119.73999786376952, 'volume': 152900.0, 'ema_200': 135.7610910009438, 'adj_close': 119.79117584228516, 'rsi_lag_1': 50.65225223585666, 'rsi_lag_2': 43.06083863897937, 'rsi_lag_3': 39.63721792757171, 'rsi_lag_4': 43.915150417260236, 'rsi_lag_5': 43.88248061795558, 'macd_lag_1': -3.477312958811595, 'macd_lag_2': -3.7629175414513583, 'macd_lag_3': -4.077810718869429, 'macd_lag_4': -3.813579038989559, 'macd_lag_5': -3.791471210321788, 'macd_12_26_9': -3.41255349477845, 'macds_12_26_9': -3.658912915013498}, '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': 119.73999786376952, '2022-07-13': 118.11000061035156, '2022-07-14': 115.02999877929688, '2022-07-15': 115.9499969482422, '2022-07-18': 119.58000183105467, '2022-07-19': 126.70999908447266, '2022-07-20': 125.73999786376952, '2022-07-21': 125.54000091552734, '2022-07-22': 125.3499984741211, '2022-07-25': 130.5}, '1_month_later': {'2022-08-11': 141.85000610351562}, '3_months_later': {'2022-10-11': 127.8499984741211}, '6_months_later': {'2023-01-11': 145.02000427246094}, '12_months_later': {'2023-07-11': 149.72999572753906}}
|
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.
|
BAND
|
{'date': '2022-07-11', 'ticker': 'BAND', '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': 17.56999969482422, 'high': 19.325000762939453, 'open': 19.18000030517578, 'close': 17.614999771118164, 'ema_50': 21.900197831460332, 'rsi_14': 47.66466591692486, 'target': 17.920000076293945, 'volume': 380200.0, 'ema_200': 49.34907391208727, 'adj_close': 17.614999771118164, 'rsi_lag_1': 61.640440482327065, 'rsi_lag_2': 64.2123317311382, 'rsi_lag_3': 67.1383706740889, 'rsi_lag_4': 71.4644336905795, 'rsi_lag_5': 57.61794105746194, 'macd_lag_1': -0.20927521109311797, 'macd_lag_2': -0.20216877465873395, 'macd_lag_3': -0.23597580618396918, 'macd_lag_4': -0.24514811964915495, 'macd_lag_5': -0.36630758594648327, 'macd_12_26_9': -0.36601937410890173, 'macds_12_26_9': -0.40238789757316756}, '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': 17.920000076293945, '2022-07-13': 17.600000381469727, '2022-07-14': 16.010000228881836, '2022-07-15': 16.559999465942383, '2022-07-18': 16.510000228881836, '2022-07-19': 17.479999542236328, '2022-07-20': 18.489999771118164, '2022-07-21': 18.459999084472656, '2022-07-22': 17.299999237060547, '2022-07-25': 16.989999771118164}, '1_month_later': {'2022-08-11': 17.68000030517578}, '3_months_later': {'2022-10-11': 10.399999618530272}, '6_months_later': {'2023-01-11': 22.520000457763672}, '12_months_later': {'2023-07-11': 14.350000381469728}}
|
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.
|
BANC
|
{'date': '2022-07-11', 'ticker': 'BANC', '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': 18.0, 'high': 18.31999969482422, 'open': 18.1299991607666, 'close': 18.11000061035156, 'ema_50': 18.157609001640317, 'rsi_14': 69.06788564926012, 'target': 18.11000061035156, 'volume': 345000.0, 'ema_200': 18.659103881113854, 'adj_close': 17.42909812927246, 'rsi_lag_1': 74.28575432346551, 'rsi_lag_2': 67.15868405290763, 'rsi_lag_3': 64.52834398572008, 'rsi_lag_4': 67.84455154667312, 'rsi_lag_5': 54.12541420326931, 'macd_lag_1': -0.011542091495041262, 'macd_lag_2': -0.03935660471925928, 'macd_lag_3': -0.08344923015665984, 'macd_lag_4': -0.1273137789705423, 'macd_lag_5': -0.18450347838182424, 'macd_12_26_9': 0.0024043535968374385, 'macds_12_26_9': -0.10309433402450185}, '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': 18.11000061035156, '2022-07-13': 17.31999969482422, '2022-07-14': 17.200000762939453, '2022-07-15': 17.510000228881836, '2022-07-18': 17.600000381469727, '2022-07-19': 18.100000381469727, '2022-07-20': 18.15999984741211, '2022-07-21': 17.979999542236328, '2022-07-22': 17.09000015258789, '2022-07-25': 17.5}, '1_month_later': {'2022-08-11': 17.969999313354492}, '3_months_later': {'2022-10-11': 16.399999618530273}, '6_months_later': {'2023-01-11': 17.329999923706055}, '12_months_later': {'2023-07-11': 11.899999618530272}}
|
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.
|
BAK
|
{'date': '2022-07-11', 'ticker': 'BAK', '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': 12.520000457763672, 'high': 12.84000015258789, 'open': 12.6899995803833, 'close': 12.729999542236328, 'ema_50': 15.947845847861313, 'rsi_14': 31.56862426106592, 'target': 12.579999923706056, 'volume': 176700.0, 'ema_200': 17.83505513364991, 'adj_close': 12.729999542236328, 'rsi_lag_1': 30.842909357446302, 'rsi_lag_2': 25.92592421958406, 'rsi_lag_3': 17.414713331770685, 'rsi_lag_4': 18.7258578145059, 'rsi_lag_5': 17.83087110617288, 'macd_lag_1': -1.0931718839664217, 'macd_lag_2': -1.0867855895171257, 'macd_lag_3': -1.0689356016502725, 'macd_lag_4': -0.9613680744142474, 'macd_lag_5': -0.8854346898099053, 'macd_12_26_9': -1.1144355891730662, 'macds_12_26_9': -0.9714734571951315}, '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': 12.579999923706056, '2022-07-13': 12.609999656677246, '2022-07-14': 12.239999771118164, '2022-07-15': 12.8100004196167, '2022-07-18': 12.539999961853027, '2022-07-19': 12.739999771118164, '2022-07-20': 12.770000457763672, '2022-07-21': 12.6899995803833, '2022-07-22': 12.4399995803833, '2022-07-25': 12.579999923706056}, '1_month_later': {'2022-08-11': 13.800000190734863}, '3_months_later': {'2022-10-11': 12.760000228881836}, '6_months_later': {'2023-01-11': 9.25}, '12_months_later': {'2023-07-11': 10.68000030517578}}
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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.
|
BAH
|
{'date': '2022-07-11', 'ticker': 'BAH', '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': 90.55999755859376, 'high': 92.58000183105467, 'open': 91.93000030517578, 'close': 91.93000030517578, 'ema_50': 86.62257907089149, 'rsi_14': 75.25726916074481, 'target': 90.44000244140624, 'volume': 875900.0, 'ema_200': 84.58525799922626, 'adj_close': 89.60425567626953, 'rsi_lag_1': 77.94535451540372, 'rsi_lag_2': 69.5080623138757, 'rsi_lag_3': 70.37496577460058, 'rsi_lag_4': 64.35184991929094, 'rsi_lag_5': 67.50549551971145, 'macd_lag_1': 2.031465295233815, 'macd_lag_2': 1.9135607016364986, 'macd_lag_3': 1.7505108382379717, 'macd_lag_4': 1.5658102381116095, 'macd_lag_5': 1.4895443255224308, 'macd_12_26_9': 2.0520290700727912, 'macds_12_26_9': 1.5103811400404519}, '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': 90.44000244140624, '2022-07-13': 89.97000122070312, '2022-07-14': 90.22000122070312, '2022-07-15': 90.3000030517578, '2022-07-18': 90.04000091552734, '2022-07-19': 92.66999816894533, '2022-07-20': 93.04000091552734, '2022-07-21': 93.2699966430664, '2022-07-22': 94.2699966430664, '2022-07-25': 95.05999755859376}, '1_month_later': {'2022-08-11': 94.76000213623048}, '3_months_later': {'2022-10-11': 96.48999786376952}, '6_months_later': {'2023-01-11': 96.87000274658205}, '12_months_later': {'2023-07-11': 113.72000122070312}}
|
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.
|
BABA
|
{'date': '2022-07-11', 'ticker': 'BABA', '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/the-zacks-analyst-blog-highlights-exxonmobil-alibaba-group-the-charles-schwab-the-estee', 'news_author': None, 'news_article': 'For Immediate Release\nChicago, IL – July 11, 2022 – Zacks.com announces the list of stocks featured in the Analyst Blog. Every day the Zacks Equity Research analysts discuss the latest news and events impacting stocks and the financial markets. Stocks recently featured in the blog include: ExxonMobil Corp. XOM, Alibaba Group Holding Ltd. BABA, The Charles Schwab Corp. SCHW, The Estée Lauder Companies Inc. EL and Automatic Data Processing, Inc. ADP.\nHere are highlights from Friday’s Analyst Blog:\nTop Analyst Reports for ExxonMobil, Alibaba and Charles Schwab\nThe Zacks Research Daily presents the best research output of our analyst team. Today\'s Research Daily features new research reports on 16 major stocks, including ExxonMobil Corp., Alibaba Group Holding Ltd., and The Charles Schwab Corp.. These research reports have been hand-picked from the roughly 70 reports published by our analyst team today.\n \nYou can see all of today\'s research reports here >>>\nExxonMobil shares have outperformed the Zacks Oil and Gas - Integrated - International industry over the past year (+47.5% vs. +31.0%). The Zacks analyst believes that the company\'s bellwether status and an optimal integrated capital structure that has historically produced industry-leading returns make it a relatively lower-risk energy sector play.\nThe company made three oil discoveries in the Stabroek Block, which will increase its recoverable resources estimates to 11 billion oil-equivalent barrels. Also, it has significantly lower debt exposure than other integrated majors.\nExxonMobil has increased its stock repurchase program from $10 billion to $30 billion. The company has planned to execute the repurchases through next year. However, the energy giant\'s above-average capital spending program has got investors concerned.\nAlso, the integrated energy major has been witnessing lower oil equivalent production volumes, which might affect the bottom line. As such, the stock warrants a cautious stance.\n\n(You can read the full research report on Exxom Mobil here >>>)\nAlibaba shares have outperformed the Zacks Internet - Commerce industry over the year-to-date basis (+3.0% vs. -27.2%). The company\'s fiscal fourth-quarter results were driven by solid momentum across its retail business. Growing China and International Commerce businesses remained positive.\nFurther, strength across cloud, Cainiao and local consumer services contributed well. Notably, its robust New Retail strategy which is gaining strong traction in the market remains a major positive. This is aiding growth in Tmall Import, Freshippo and Intime Department Stores.\nAdditionally, the company\'s strengthening cloud business on the back of its expanding customer base continues to drive its performance. However, rising competition from domestic as well as foreign e-commerce companies poses a serious risk. Further, the regulatory concerns and resurgence of COVID cases in China remain major headwinds.\n\n(You can read the full research report on Alibaba here >>>)\nCharles Schwab shares have declined -8.2% over the past year against the Zacks Financial - Investment Bank industry\'s decline of -18.9%. The Zacks analyst believes that despite the recent rate hikes, relatively lower interest rates will likely keep hurting margins in the near term. Elevated operating expenses might hamper the company\'s bottom-line growth to some extent.\nHowever, Strategic acquisitions are likely to be earnings accretive and have reinforced Schwab\'s position as a leading brokerage player. Offering commission-free trading has led to a rise in client assets and brokerage accounts, thereby improving trading revenues. Schwab\'s efficient capital deployments reflect a solid balance sheet position, through which it will enhance shareholder value.\n\n(You can read the full research report on Charles Schwab here >>>)\n\nOther noteworthy reports we are featuring today include The Estée Lauder Companies Inc. and Automatic Data Processing, Inc..\nWhy Haven\'t You Looked at Zacks\' Top Stocks?\nOur 5 best-performing strategies have blown away the S&P\'s impressive +28.8% gain in 2021. Amazingly, they soared +40.3%, +48.2%, +67.6%, +94.4%, and +95.3%. Today you can access their live picks without cost or obligation.\nSee Stocks Free >>\nMedia Contact\nZacks Investment Research\n800-767-3771 ext. 9339\[email protected] \nhttps://www.zacks.com \nPast performance is no guarantee of future results. Inherent in any investment is the potential for loss. This material is being provided for informational purposes only and nothing herein constitutes investment, legal, accounting or tax advice, or a recommendation to buy, sell or hold a security. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. It should not be assumed that any investments in securities, companies, sectors or markets identified and described were or will be profitable. All information is current as of the date of herein and is subject to change without notice. Any views or opinions expressed may not reflect those of the firm as a whole. Zacks Investment Research does not engage in investment banking, market making or asset management activities of any securities. These returns are from hypothetical portfolios consisting of stocks with Zacks Rank = 1 that were rebalanced monthly with zero transaction costs. These are not the returns of actual portfolios of stocks. The S&P 500 is an unmanaged index. Visit https://www.zacks.com/performance for information about the performance numbers displayed in this press release.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nAutomatic Data Processing, Inc. (ADP): Free Stock Analysis Report\n \nExxon Mobil Corporation (XOM): Free Stock Analysis Report\n \nThe Charles Schwab Corporation (SCHW): Free Stock Analysis Report\n \nThe Estee Lauder Companies Inc. (EL): Free Stock Analysis Report\n \nAlibaba Group Holding Limited (BABA): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Stocks recently featured in the blog include: ExxonMobil Corp. XOM, Alibaba Group Holding Ltd. BABA, The Charles Schwab Corp. SCHW, The Estée Lauder Companies Inc. EL and Automatic Data Processing, Inc. ADP. Here are highlights from Friday’s Analyst Blog: Top Analyst Reports for ExxonMobil, Alibaba and Charles Schwab The Zacks Research Daily presents the best research output of our analyst team. Today's Research Daily features new research reports on 16 major stocks, including ExxonMobil Corp., Alibaba Group Holding Ltd., and The Charles Schwab Corp..", 'news_luhn_summary': "Stocks recently featured in the blog include: ExxonMobil Corp. XOM, Alibaba Group Holding Ltd. BABA, The Charles Schwab Corp. SCHW, The Estée Lauder Companies Inc. EL and Automatic Data Processing, Inc. ADP. Today's Research Daily features new research reports on 16 major stocks, including ExxonMobil Corp., Alibaba Group Holding Ltd., and The Charles Schwab Corp.. (You can read the full research report on Alibaba here >>>) Charles Schwab shares have declined -8.2% over the past year against the Zacks Financial - Investment Bank industry's decline of -18.9%.", 'news_article_title': 'The Zacks Analyst Blog Highlights ExxonMobil, Alibaba Group, The Charles Schwab, The Estee Lauder and Automatic Data Processing', 'news_lexrank_summary': "Here are highlights from Friday’s Analyst Blog: Top Analyst Reports for ExxonMobil, Alibaba and Charles Schwab The Zacks Research Daily presents the best research output of our analyst team. Stocks recently featured in the blog include: ExxonMobil Corp. XOM, Alibaba Group Holding Ltd. BABA, The Charles Schwab Corp. SCHW, The Estée Lauder Companies Inc. EL and Automatic Data Processing, Inc. ADP. Today's Research Daily features new research reports on 16 major stocks, including ExxonMobil Corp., Alibaba Group Holding Ltd., and The Charles Schwab Corp..", 'news_textrank_summary': "Here are highlights from Friday’s Analyst Blog: Top Analyst Reports for ExxonMobil, Alibaba and Charles Schwab The Zacks Research Daily presents the best research output of our analyst team. Today's Research Daily features new research reports on 16 major stocks, including ExxonMobil Corp., Alibaba Group Holding Ltd., and The Charles Schwab Corp.. (You can read the full research report on Alibaba here >>>) Charles Schwab shares have declined -8.2% over the past year against the Zacks Financial - Investment Bank industry's decline of -18.9%."}, {'news_url': 'https://www.nasdaq.com/articles/why-shares-of-ke-holdings-tal-education-group-and-new-oriental-education-are-falling', 'news_author': None, 'news_article': 'What happened\nMany Chinese stocks trading on U.S. stock exchanges took a hit Monday, as regulators in China imposed fines on two Chinese companies and as fears over COVID-19 resurfaced in several Chinese cities.\nShares of the Chinese real estate platform KE Holdings (NYSE: BEKE) traded more than 10% down as of 11:47 a.m. ET today. Shares of New Oriental Education & Technology Group (NYSE: EDU) were down nearly 9%, and shares of TAL Education Group (NYSE: TAL) dropped roughly 10%.\nSo what\nLast year, the Chinese government was very restrictive on Chinese tech stocks, imposing large fines, launching investigations, and even removing some apps from domestic app stores. In recent months, the Chinese government has started to ease its stance and be more supportive of the sector in an attempt to boost economic growth in the country.\nImage source: Getty Images.\nBut recently, China\'s State Administration for Market Regulation fined the large Chinese commerce company Alibaba (NYSE: BABA) and the entertainment company Tencent (OTC: TCEHY) for improperly notifying regulators of past deals, suggesting Chinese tech companies could still see regulatory headwinds.\n"The latest selloff is triggered by the news of fresh fines on anti-monopolistic practices in the sector," Justin Tang of United First Partners, aninvestment researchcompany, said to Bloomberg. "The world is not out of the woods yet and we will continue to see volatile movement in stocks as a general rule of thumb."\nIn other news, China is seeing a resurgence of coronavirus cases after imposing major lockdowns during the past few months. Authorities have found new cases of the omicron subvariant that has become the dominant form of COVID-19 in the U.S. and is extremely contagious. And the Chinese government said yesterday it detected the first case of a new omicron subvariant in Shanghai.\nNow investors are worried that lockdown protocols, which have significantly cut into economic growth projections, could be making a return.\nThe region of Macau over the weekend closed non-essential businesses for a week, and 11 cities in China are now in at least partial lockdowns, with some having to undergo full lockdowns. The Chinese government had been targeting 5.5% gross domestic product (GDP) growth in 2022, but the World Bank revised its projection down and now expects only 4.3% growth. Further lockdowns could bring that number lower.\nNow what\nOver the past year, like many Chinese stocks, these three stocks have been pummeled. KE Holdings is down more than 60%, New Oriental Education is down more than 66%, and TAL Education Group is down more than 79%. But they all still trade at very high earnings multiples.\nThese stocks all have huge potential given the massive opportunity in the market they operate in, but the stretched valuations of growth companies are not exactly enticing in the current environment. There could also be more economic pain in China this year and more regulatory headwinds as well, despite the friendlier attitude Chinese regulators have shown for most of the year.\nUltimately, there may be opportunities in this sector, but expect lots of volatility along the way, and be sure you can take a long-term investing approach.\n10 stocks we like better than KE Holdings Inc.\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and KE Holdings Inc. wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nBram Berkowitz has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Tencent Holdings. The Motley Fool recommends New Oriental Education & Technology Group and TAL Education Group. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'But recently, China\'s State Administration for Market Regulation fined the large Chinese commerce company Alibaba (NYSE: BABA) and the entertainment company Tencent (OTC: TCEHY) for improperly notifying regulators of past deals, suggesting Chinese tech companies could still see regulatory headwinds. In recent months, the Chinese government has started to ease its stance and be more supportive of the sector in an attempt to boost economic growth in the country. "The latest selloff is triggered by the news of fresh fines on anti-monopolistic practices in the sector," Justin Tang of United First Partners, aninvestment researchcompany, said to Bloomberg.', 'news_luhn_summary': "But recently, China's State Administration for Market Regulation fined the large Chinese commerce company Alibaba (NYSE: BABA) and the entertainment company Tencent (OTC: TCEHY) for improperly notifying regulators of past deals, suggesting Chinese tech companies could still see regulatory headwinds. So what Last year, the Chinese government was very restrictive on Chinese tech stocks, imposing large fines, launching investigations, and even removing some apps from domestic app stores. The Motley Fool recommends New Oriental Education & Technology Group and TAL Education Group.", 'news_article_title': 'Why Shares of KE Holdings, TAL Education Group, and New Oriental Education Are Falling', 'news_lexrank_summary': "But recently, China's State Administration for Market Regulation fined the large Chinese commerce company Alibaba (NYSE: BABA) and the entertainment company Tencent (OTC: TCEHY) for improperly notifying regulators of past deals, suggesting Chinese tech companies could still see regulatory headwinds. Shares of the Chinese real estate platform KE Holdings (NYSE: BEKE) traded more than 10% down as of 11:47 a.m. Now what Over the past year, like many Chinese stocks, these three stocks have been pummeled.", 'news_textrank_summary': "But recently, China's State Administration for Market Regulation fined the large Chinese commerce company Alibaba (NYSE: BABA) and the entertainment company Tencent (OTC: TCEHY) for improperly notifying regulators of past deals, suggesting Chinese tech companies could still see regulatory headwinds. What happened Many Chinese stocks trading on U.S. stock exchanges took a hit Monday, as regulators in China imposed fines on two Chinese companies and as fears over COVID-19 resurfaced in several Chinese cities. So what Last year, the Chinese government was very restrictive on Chinese tech stocks, imposing large fines, launching investigations, and even removing some apps from domestic app stores."}, {'news_url': 'https://www.nasdaq.com/articles/consumer-sector-update-for-07-11-2022%3A-baba-lvs-gns-xlp-xly', 'news_author': None, 'news_article': "Consumer stocks were mixed premarket Monday, with the Consumer Staples Select Sector SPDR Fund (XLP) ETF declining\n0.32% and the Consumer Discretionary Select Sector SPDR Fund (XLY) inactive.\nChina's State Administration for Market Regulation fined companies, including Alibaba Group Holding (BABA) and Tencent Holdings (TCEHY), over the alleged noncompliance with the country's anti-monopoly rules on the disclosure of transactions, Reuters reported, citing a list released by the Chinese market regulator. Alibaba shares were slipping past 4% recently, while TCEHY shares were unchanged.\nLas Vegas Sands (LVS) signed a loan agreement with its majority-owned subsidiary Sands China, extending a subordinated unsecured term loan amounting to $1 billion and repayable on July 11, 2028, according to a filing. Las Vegas Sands shares were recently down nearly 5%.\nGenius Group (GNS) shares were 2% higher after the company said it has acquired California-based University of Antelope Valley for an undisclosed sum.\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': "China's State Administration for Market Regulation fined companies, including Alibaba Group Holding (BABA) and Tencent Holdings (TCEHY), over the alleged noncompliance with the country's anti-monopoly rules on the disclosure of transactions, Reuters reported, citing a list released by the Chinese market regulator. Alibaba shares were slipping past 4% recently, while TCEHY shares were unchanged. Las Vegas Sands (LVS) signed a loan agreement with its majority-owned subsidiary Sands China, extending a subordinated unsecured term loan amounting to $1 billion and repayable on July 11, 2028, according to a filing.", 'news_luhn_summary': "China's State Administration for Market Regulation fined companies, including Alibaba Group Holding (BABA) and Tencent Holdings (TCEHY), over the alleged noncompliance with the country's anti-monopoly rules on the disclosure of transactions, Reuters reported, citing a list released by the Chinese market regulator. Alibaba shares were slipping past 4% recently, while TCEHY shares were unchanged. Consumer stocks were mixed premarket Monday, with the Consumer Staples Select Sector SPDR Fund (XLP) ETF declining 0.32% and the Consumer Discretionary Select Sector SPDR Fund (XLY) inactive.", 'news_article_title': 'Consumer Sector Update for 07/11/2022: BABA, LVS, GNS, XLP, XLY', 'news_lexrank_summary': "China's State Administration for Market Regulation fined companies, including Alibaba Group Holding (BABA) and Tencent Holdings (TCEHY), over the alleged noncompliance with the country's anti-monopoly rules on the disclosure of transactions, Reuters reported, citing a list released by the Chinese market regulator. Alibaba shares were slipping past 4% recently, while TCEHY shares were unchanged. Consumer stocks were mixed premarket Monday, with the Consumer Staples Select Sector SPDR Fund (XLP) ETF declining 0.32% and the Consumer Discretionary Select Sector SPDR Fund (XLY) inactive.", 'news_textrank_summary': "China's State Administration for Market Regulation fined companies, including Alibaba Group Holding (BABA) and Tencent Holdings (TCEHY), over the alleged noncompliance with the country's anti-monopoly rules on the disclosure of transactions, Reuters reported, citing a list released by the Chinese market regulator. Alibaba shares were slipping past 4% recently, while TCEHY shares were unchanged. Consumer stocks were mixed premarket Monday, with the Consumer Staples Select Sector SPDR Fund (XLP) ETF declining 0.32% and the Consumer Discretionary Select Sector SPDR Fund (XLY) inactive."}, {'news_url': 'https://www.nasdaq.com/articles/why-alibaba-bilibili-and-pinduoduo-are-falling-today', 'news_author': None, 'news_article': "What happened\nShares of Alibaba (NYSE: BABA), Bilibili (NASDAQ: BILI) and Pinduoduo (NASDAQ: PDD) were all sliding this afternoon after the Chinese government imposed fresh lockdowns in some parts of the country, and fined Alibaba and other Chinese tech companies for not complying with some anti-monopoly regulations.\nAs a result, the Chinese tech stock sector was sliding today, sending Alibaba down 8.5%, Bilibili falling 9.4%, and Pinduoduo tumbling 10.1% as of 2:26 p.m. ET.\nSo what\nChina's State Administration for Market Regulation said yesterday that there were 28 violations of its anti-monopoly rules, including five involving Alibaba. The Chinese e-commerce giant was slapped with a fine of about $372,000.\nImage source: Getty Images.\nThe size of that fine isn't a large amount for Alibaba, but the fact that the Chinese government continues to put pressure on technology companies has been an ongoing concern for investors for a while now. Over the past couple of years, the Chinese government has tamped down some growth of tech companies as it tries to keep them from getting too big.\nAnd the Chinese government's latest move over the weekend is making investors fearful that the government is once again making moves that will hurt Chinese tech stock growth. As a result, the share prices of many tech stocks -- including Alibaba, Bilibili, and Pinduoduo -- were falling today.\nMaking matters worse for Chinese stocks was the fact that new COVID-19 lockdowns in Macau were reported over the weekend. China has a strict zero-COVID policy and Macau, a city known for its casinos, is entering a week-long lockdown because of rising coronavirus cases.\nInvestors worry that ongoing lockdowns will continue to hurt the Chinese economy, and thus put pressure on the top and bottom lines of Alibaba, Bilibili, and Pinduoduo. And with the government seemingly committed to implementing lockdowns wherever new COVID-19 cases pop up, investors don't have much hope that there will be any pullback on restrictions anytime soon.\nNow what\nAlibaba, Bilibili, and Pinduoduo investors have had to stomach significant losses over the past year, with the stocks falling 46%, 77%, and 50%, respectively.\nIn addition to the concerns mentioned already, investors have also been worried that some Chinese companies could be delisted from U.S. stock exchanges. The U.S. government has been putting pressure on Chinese companies to comply with certain auditing regulations and has threatened to kick some of them off of public exchanges if they don't.\nThose fears are constantly in the back of Chinese tech stock investors' minds, and with new lockdowns in China and anti-monopoly fines being handed out, it appears that Alibaba, Bilibili, and Pinduoduo investors have even more to be concerned about right now.\n10 stocks we like better than Alibaba Group Holding Ltd.\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 Alibaba Group Holding Ltd. 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\nChris Neiger has no position in any of the stocks mentioned. The Motley Fool recommends Bilibili. 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 size of that fine isn't a large amount for Alibaba, but the fact that the Chinese government continues to put pressure on technology companies has been an ongoing concern for investors for a while now. Investors worry that ongoing lockdowns will continue to hurt the Chinese economy, and thus put pressure on the top and bottom lines of Alibaba, Bilibili, and Pinduoduo. What happened Shares of Alibaba (NYSE: BABA), Bilibili (NASDAQ: BILI) and Pinduoduo (NASDAQ: PDD) were all sliding this afternoon after the Chinese government imposed fresh lockdowns in some parts of the country, and fined Alibaba and other Chinese tech companies for not complying with some anti-monopoly regulations.", 'news_luhn_summary': 'As a result, the Chinese tech stock sector was sliding today, sending Alibaba down 8.5%, Bilibili falling 9.4%, and Pinduoduo tumbling 10.1% as of 2:26 p.m. As a result, the share prices of many tech stocks -- including Alibaba, Bilibili, and Pinduoduo -- were falling today. What happened Shares of Alibaba (NYSE: BABA), Bilibili (NASDAQ: BILI) and Pinduoduo (NASDAQ: PDD) were all sliding this afternoon after the Chinese government imposed fresh lockdowns in some parts of the country, and fined Alibaba and other Chinese tech companies for not complying with some anti-monopoly regulations.', 'news_article_title': 'Why Alibaba, Bilibili, and Pinduoduo Are Falling Today', 'news_lexrank_summary': "The size of that fine isn't a large amount for Alibaba, but the fact that the Chinese government continues to put pressure on technology companies has been an ongoing concern for investors for a while now. Those fears are constantly in the back of Chinese tech stock investors' minds, and with new lockdowns in China and anti-monopoly fines being handed out, it appears that Alibaba, Bilibili, and Pinduoduo investors have even more to be concerned about right now. * They just revealed what they believe are the ten best stocks for investors to buy right now... and Alibaba Group Holding Ltd. wasn't one of them!", 'news_textrank_summary': "What happened Shares of Alibaba (NYSE: BABA), Bilibili (NASDAQ: BILI) and Pinduoduo (NASDAQ: PDD) were all sliding this afternoon after the Chinese government imposed fresh lockdowns in some parts of the country, and fined Alibaba and other Chinese tech companies for not complying with some anti-monopoly regulations. Those fears are constantly in the back of Chinese tech stock investors' minds, and with new lockdowns in China and anti-monopoly fines being handed out, it appears that Alibaba, Bilibili, and Pinduoduo investors have even more to be concerned about right now. As a result, the Chinese tech stock sector was sliding today, sending Alibaba down 8.5%, Bilibili falling 9.4%, and Pinduoduo tumbling 10.1% as of 2:26 p.m."}, {'news_url': 'https://www.nasdaq.com/articles/top-stock-market-news-for-today-july-11-2022', 'news_author': None, 'news_article': 'Stock Market Futures Pare Gains From Previous Week’s Positive Movement\nU.S. stock futures are in the red ahead of this week’s opening bell. Overall, this follows yet another batch of mixed data on consumers and the economy. Both of which have and continue to be closely watched areas for investors as concerns over a possible recession persist. In particular, the June jobs report from last week would be a somewhat positive update on all this. Namely, the U.S. economy added 372,000 non-farm jobs while the unemployment rate remained at 3.6%. This would be well above consensus economist estimates of 268,000.\nFor the week ahead, corporate earnings will likely be a key theme in the stock market as earnings season kicks off. In the latter half of the week, investors will be turning their radars towards big banks such as Morgan Stanley (NYSE: MS) and JPMorgan & Chase (NYSE: JPM). Moreover, other industry titans such as Taiwan Semiconductor Manufacturing (NYSE: TSM) and Delta Airlines (NYSE: DAL) will also be on tap later this week.\nProviding an overview of all this is the head of strategy at Fundstrat Global Insights, Mark Newton. He notes, “While I remain a buyer on weakness, it’s hard for me to have faith in this near-term recovery given lack of participation and weak upward breadth thrust thus far. One should remain defensive over the next 2-3 weeks until this churning runs its course.” While you consider all this, here is how the major U.S. stock futures are doing now. As of 5:16 a.m. ET, the Dow, S&P 500, and Nasdaq futures are trading lower by 0.41%, 0.62%, and 0.65% respectively.\nThe Musk-Twitter Break-Up Is Here And Things Could Get Messy\nAmong the major headliners for today would be the latest development in the ongoing saga between Twitter (NYSE: TWTR) and Elon Musk. For the most part, this stems from two major announcements over the weekend. To begin with, the Tesla (NASDAQ: TSLA) CEO, on Friday, revealed that he would be pulling out of his $44 billion deal to acquire Twitter. This, his lawyers state, is due to the social media firm failing to comply with pre-set obligations to the merger agreement. According to Musk’s attorney Mike Ringler, “Twitter has not complied with its contractual obligations.”\nSpeaking on this in further detail, he writes, “Sometimes Twitter has ignored Mr. Musk’s requests, sometimes it has rejected them for reasons that appear to be unjustified, and sometimes it has claimed to comply while giving Mr. Musk incomplete or unusable information.” On top of all that, Ringler and his team also allege that Twitter’s disclosures of monetizable daily active users are “either false or materially misleading.” With claims such as these, it would appear that Musk’s move to exit the deal would be justifiable. However, Twitter’s team also did respond to this declaration over the weekend.\nOn the flip side, Twitter appears to be lawyering up. Upon hiring a law firm, Wachtell, Lipton, Rosen, & Katz LLP, it seems that Twitter is planning to sue Musk. According to sources from Bloomberg, the firm could file a lawsuit as early as this week. Commenting on this further is Twitter’s board chairman Bret Taylor. He says that Twitter is focusing on closing the deal and will pursue legal action to do so. Safe to say, all this would likely put TWTR stock in the spotlight at the opening bell today.\nSource: TradingView\n[Read More] Top Metaverse Stocks To Watch In July 2022\nAlphabet 20-for-1 Stock Split To Take Place This Week: What To Consider\nIn other news, tech goliath Alphabet (NASDAQ: GOOGL) will see its 20-for-1 stock split take place later this week. The Google parent company’s stock split is set for Friday. Similar to moves from numerous other major firms ranging from Tesla to Amazon (NASDAQ: AMZN) and Shopify (NYSE: SHOP), this is not too surprising. After all, these well-established companies saw their stock valuations skyrocket throughout the pandemic. By offering splits, they would offer investors more flexibility. Also, it would also make GOOGL stock more accessible to smaller investors in general.\nTo put things into perspective, the current split would see GOOGL stock price going from about $2,380 to about $119 per share. Adding some perspective on this is Monness Crespi Hardt analyst, Brian White. He begins by acknowledging that Alphabet’s current operating conditions may not be ideal. Between regulatory pressures, volatility in stocks, and current geopolitical happenings, investor concerns would not be unwarranted. However, White does highlight that the firm sees GOOGL stock as a long-term play. He cites current trends in digital advertising, secular growth in the cloud computing market, and Alphabet’s consistent stock repurchases for this. As such, it would not surprise me to see investors eyeing GOOGL stock this week.\nSource: TradingView\n[Read More] Recession-Proof Stocks To Invest In Now? 3 E-commerce Stocks To Watch\nNetflix’s Stranger Things Continues To Have Viewers Glued To Their Screens\nElsewhere, the video streaming titan Netflix (NASDAQ: NFLX) continues to dominate in the watch-time category. Notably, the company’s latest season of its flagship Stranger Things series has and continues to draw viewers in. Throughout its third week since launch, the series has garnered over 4 billion minutes of watch time. To be precise, data from Nielsen’s (NYSE: NLSN) weekly rankings round-up notes that viewers streamed 4.226 billion minutes of Stranger Things throughout the past week. Sure, hit series’ such as these may be main attractions for consumers looking to get their streaming itch scratched. However, concerns over Netflix’s continued decline in subscriber growth remain as the competition continues to grow. As such, this could see more exciting developments from Netflix alongside its main rivals such as Disney (NYSE: DIS), Apple (NASDAQ: AAPL), and Amazon. After considering all this, NFLX stock would likely remain a watch for some.\nSource: TradingView\n[Read More] Best Dividend Stocks To Buy In 2022? 5 To Watch Right Now\nChina Tech Stocks Dip Following New Regulatory Fines On Alibaba And Tencent\nChinese tech stocks appear to be coming under fire in thestock market today On the whole, the current movement in these firms is likely due to notable regulatory news surrounding the sector. In detail, both Alibaba (NYSE: BABA) and Tencent (OTC: TCEHY) were hit with fines from China’s State Administration for Market Regulations. Overall, the key reason for these fines, the government highlights, is for failure to report past deals properly.\nNot to mention, there is also a new wave of pandemic lockdowns weighing in on China as well. Even with the recent reduction in general regulatory pressure on Chinese firms, it seems that Chinese tech giants are not in the clear just yet. As a result, shares of major firms in the Chinese tech space would be experiencing turbulence in the stock market now as investors consider their options.\nSource: TradingView\nIf you enjoyed this article and you’re interested in learning how to trade so you can have the best chance to profit consistently then you need to checkout this YouTube channel.\nCLICK HERE RIGHT NOW!!\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': '5 To Watch Right Now China Tech Stocks Dip Following New Regulatory Fines On Alibaba And Tencent Chinese tech stocks appear to be coming under fire in thestock market today On the whole, the current movement in these firms is likely due to notable regulatory news surrounding the sector. In detail, both Alibaba (NYSE: BABA) and Tencent (OTC: TCEHY) were hit with fines from China’s State Administration for Market Regulations. The Musk-Twitter Break-Up Is Here And Things Could Get Messy Among the major headliners for today would be the latest development in the ongoing saga between Twitter (NYSE: TWTR) and Elon Musk.', 'news_luhn_summary': '5 To Watch Right Now China Tech Stocks Dip Following New Regulatory Fines On Alibaba And Tencent Chinese tech stocks appear to be coming under fire in thestock market today On the whole, the current movement in these firms is likely due to notable regulatory news surrounding the sector. In detail, both Alibaba (NYSE: BABA) and Tencent (OTC: TCEHY) were hit with fines from China’s State Administration for Market Regulations. Source: TradingView [Read More] Top Metaverse Stocks To Watch In July 2022 Alphabet 20-for-1 Stock Split To Take Place This Week: What To Consider In other news, tech goliath Alphabet (NASDAQ: GOOGL) will see its 20-for-1 stock split take place later this week.', 'news_article_title': 'Top Stock Market News For Today July 11, 2022', 'news_lexrank_summary': '5 To Watch Right Now China Tech Stocks Dip Following New Regulatory Fines On Alibaba And Tencent Chinese tech stocks appear to be coming under fire in thestock market today On the whole, the current movement in these firms is likely due to notable regulatory news surrounding the sector. In detail, both Alibaba (NYSE: BABA) and Tencent (OTC: TCEHY) were hit with fines from China’s State Administration for Market Regulations. Stock Market Futures Pare Gains From Previous Week’s Positive Movement U.S. stock futures are in the red ahead of this week’s opening bell.', 'news_textrank_summary': '5 To Watch Right Now China Tech Stocks Dip Following New Regulatory Fines On Alibaba And Tencent Chinese tech stocks appear to be coming under fire in thestock market today On the whole, the current movement in these firms is likely due to notable regulatory news surrounding the sector. In detail, both Alibaba (NYSE: BABA) and Tencent (OTC: TCEHY) were hit with fines from China’s State Administration for Market Regulations. Stock Market Futures Pare Gains From Previous Week’s Positive Movement U.S. stock futures are in the red ahead of this week’s opening bell.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 109.33000183105467, 'high': 115.58000183105467, 'open': 115.45999908447266, 'close': 109.56999969482422, 'ema_50': 106.0020421406437, 'rsi_14': 57.70443877830874, 'target': 109.20999908447266, 'volume': 31249900.0, 'ema_200': 124.76756177451036, 'adj_close': 108.11662292480467, 'rsi_lag_1': 76.26250233074663, 'rsi_lag_2': 67.04653641387989, 'rsi_lag_3': 66.67467157878852, 'rsi_lag_4': 72.81942748128503, 'rsi_lag_5': 55.64723386230834, 'macd_lag_1': 5.903108247286696, 'macd_lag_2': 5.901814879263412, 'macd_lag_3': 5.662610617886031, 'macd_lag_4': 5.607878864398245, 'macd_lag_5': 5.353616293041114, 'macd_12_26_9': 4.933031871069389, 'macds_12_26_9': 5.300185320669869}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 109.20999908447266, '2022-07-13': 109.0999984741211, '2022-07-14': 103.76000213623048, '2022-07-15': 102.44000244140624, '2022-07-18': 103.13999938964844, '2022-07-19': 104.75, '2022-07-20': 103.95999908447266, '2022-07-21': 105.12999725341795, '2022-07-22': 100.61000061035156, '2022-07-25': 101.05999755859376}, '1_month_later': {'2022-08-11': 94.87000274658205}, '3_months_later': {'2022-10-11': 75.37000274658203}, '6_months_later': {'2023-01-11': 115.0199966430664}, '12_months_later': {'2023-07-11': 91.79000091552734}}
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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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BAB
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{'date': '2022-07-11', 'ticker': 'BAB', '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/pre-market-most-active-for-jul-11-2022-%3A-plrx-tqqq-twtr-sqqq-pg-dwac-nio-abnb-cnc-tsla-amc', 'news_author': None, 'news_article': 'The NASDAQ 100 Pre-Market Indicator is down -90.47 to 12,035.22. The total Pre-Market volume is currently 36,119,370 shares traded.\n\nThe following are the most active stocks for the pre-market session:\n\nPliant Therapeutics, Inc. (PLRX) is +4.72 at $13.60, with 6,401,795 shares traded. As reported by Zacks, the current mean recommendation for PLRX is in the "buy range".\n\nProShares UltraPro QQQ (TQQQ) is -0.6 at $27.29, with 3,287,581 shares traded. This represents a 28% increase from its 52 Week Low.\n\nTwitter, Inc. (TWTR) is -2.26 at $34.55, with 3,120,847 shares traded. TWTR\'s current last sale is 63.75% of the target price of $54.2.\n\nProShares UltraPro Short QQQ (SQQQ) is +1.11 at $51.15, with 2,006,561 shares traded. This represents a 81.71% increase from its 52 Week Low.\n\nProcter & Gamble Company (The) (PG) is -0.63 at $144.39, with 856,565 shares traded. As reported by Zacks, the current mean recommendation for PG is in the "buy range".\n\nDigital World Acquisition Corp. (DWAC) is +3.58 at $28.10, with 814,270 shares traded.\n\nNIO Inc. (NIO) is -0.76 at $21.84, with 754,784 shares traded. As reported by Zacks, the current mean recommendation for NIO is in the "buy range".\n\nAirbnb, Inc. (ABNB) is -2.24 at $95.11, with 740,671 shares traded. ABNB\'s current last sale is 54.66% of the target price of $174.\n\nCentene Corporation (CNC) is -0.01 at $88.00, with 689,099 shares traded. Over the last four weeks they have had 5 up revisions for the earnings forecast, for the fiscal quarter ending Jun 2022. The consensus EPS forecast is $1.69. As reported by Zacks, the current mean recommendation for CNC is in the "buy range".\n\nTesla, Inc. (TSLA) is +7.96 at $760.25, with 682,600 shares traded. TSLA\'s current last sale is 78.99% of the target price of $962.5.\n\nAMC Entertainment Holdings, Inc. (AMC) is +0.23 at $14.89, with 393,512 shares traded. AMC\'s current last sale is 297.8% of the target price of $5.\n\nAlibaba Group Holding Limited (BABA) is -4.85 at $116.05, with 372,228 shares traded. As reported by Zacks, the current mean recommendation for BABA is in the "buy range".\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Alibaba Group Holding Limited (BABA) is -4.85 at $116.05, with 372,228 shares traded. As reported by Zacks, the current mean recommendation for BABA is in the "buy range". ProShares UltraPro Short QQQ (SQQQ) is +1.11 at $51.15, with 2,006,561 shares traded.', 'news_luhn_summary': 'Alibaba Group Holding Limited (BABA) is -4.85 at $116.05, with 372,228 shares traded. As reported by Zacks, the current mean recommendation for BABA is in the "buy range". As reported by Zacks, the current mean recommendation for PLRX is in the "buy range".', 'news_article_title': 'Pre-Market Most Active for Jul 11, 2022 : PLRX, TQQQ, TWTR, SQQQ, PG, DWAC, NIO, ABNB, CNC, TSLA, AMC, BABA', 'news_lexrank_summary': 'Alibaba Group Holding Limited (BABA) is -4.85 at $116.05, with 372,228 shares traded. As reported by Zacks, the current mean recommendation for BABA is in the "buy range". The NASDAQ 100 Pre-Market Indicator is down -90.47 to 12,035.22.', 'news_textrank_summary': 'Alibaba Group Holding Limited (BABA) is -4.85 at $116.05, with 372,228 shares traded. As reported by Zacks, the current mean recommendation for BABA is in the "buy range". The total Pre-Market volume is currently 36,119,370 shares traded.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.46999931335449, 'high': 27.729999542236328, 'open': 27.5, 'close': 27.600000381469727, 'ema_50': 27.843383248370195, 'rsi_14': 62.234074392717055, 'target': 27.729999542236328, 'volume': 221300.0, 'ema_200': 30.01050174371576, 'adj_close': 26.13308525085449, 'rsi_lag_1': 60.555589699465266, 'rsi_lag_2': 64.11762725936558, 'rsi_lag_3': 73.18436825701261, 'rsi_lag_4': 77.05884398887443, 'rsi_lag_5': 60.18959616577141, 'macd_lag_1': -0.029022783269976316, 'macd_lag_2': -0.02498455534084343, 'macd_lag_3': -0.031684969407344, 'macd_lag_4': -0.05301273437803289, 'macd_lag_5': -0.09473631214548561, 'macd_12_26_9': -0.019890111556534862, 'macds_12_26_9': -0.08090652506981011}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 27.729999542236328, '2022-07-13': 27.76000022888184, '2022-07-14': 27.81999969482422, '2022-07-15': 27.89999961853028, '2022-07-18': 27.670000076293945, '2022-07-19': 27.540000915527344, '2022-07-20': 27.600000381469727, '2022-07-21': 27.8799991607666, '2022-07-22': 28.0, '2022-07-25': 27.950000762939453}, '1_month_later': {'2022-08-11': 27.770000457763672}, '3_months_later': {'2022-10-11': 25.32999992370605}, '6_months_later': {'2023-01-11': 26.61000061035156}, '12_months_later': {'2023-07-11': 26.200000762939453}}
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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.
|
BANX
|
{'date': '2022-07-11', 'ticker': 'BANX', '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': 18.25, 'high': 18.86000061035156, 'open': 18.25, 'close': 18.63999938964844, 'ema_50': 19.216292861003872, 'rsi_14': 53.741489095987156, 'target': 18.1200008392334, 'volume': 4200.0, 'ema_200': 20.532046766562807, 'adj_close': 15.707301139831545, 'rsi_lag_1': 51.254476121200845, 'rsi_lag_2': 47.35099295922316, 'rsi_lag_3': 45.6868898611839, 'rsi_lag_4': 48.170747308776605, 'rsi_lag_5': 40.00000965746427, 'macd_lag_1': -0.23846884274382774, 'macd_lag_2': -0.23418322173272443, 'macd_lag_3': -0.23243415116272814, 'macd_lag_4': -0.23598449260905952, 'macd_lag_5': -0.23402909645237813, 'macd_12_26_9': -0.21358188819111845, 'macds_12_26_9': -0.2596312955569346}, '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': 18.1200008392334, '2022-07-13': 18.18000030517578, '2022-07-14': 18.09000015258789, '2022-07-15': 18.11000061035156, '2022-07-18': 18.31999969482422, '2022-07-19': 18.270000457763672, '2022-07-20': 18.200000762939453, '2022-07-21': 18.200000762939453, '2022-07-22': 18.25, '2022-07-25': 18.190000534057617}, '1_month_later': {'2022-08-11': 18.979999542236328}, '3_months_later': {'2022-10-11': 16.899999618530273}, '6_months_later': {'2023-01-11': 18.979999542236328}, '12_months_later': {'2023-07-11': 16.260000228881836}}
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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.
|
BDC
|
{'date': '2022-07-11', 'ticker': 'BDC', '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': 55.630001068115234, 'high': 57.34999847412109, 'open': 55.630001068115234, 'close': 56.68999862670898, 'ema_50': 54.290614628367415, 'rsi_14': 74.72439573114502, 'target': 56.68000030517578, 'volume': 312200.0, 'ema_200': 55.158822503533706, 'adj_close': 56.47901153564453, 'rsi_lag_1': 77.02217793740458, 'rsi_lag_2': 54.89796367201937, 'rsi_lag_3': 50.33707566580936, 'rsi_lag_4': 49.121809026936525, 'rsi_lag_5': 43.04865975109, 'macd_lag_1': 0.04809479297529151, 'macd_lag_2': -0.19662862523968272, 'macd_lag_3': -0.5101974649751781, 'macd_lag_4': -0.5608951224203125, 'macd_lag_5': -0.587917928379575, 'macd_12_26_9': 0.2600221828332536, 'macds_12_26_9': -0.2905440331056152}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 56.68000030517578, '2022-07-13': 57.04999923706055, '2022-07-14': 56.619998931884766, '2022-07-15': 59.34000015258789, '2022-07-18': 59.119998931884766, '2022-07-19': 61.75, '2022-07-20': 62.59000015258789, '2022-07-21': 63.31999969482422, '2022-07-22': 62.209999084472656, '2022-07-25': 62.27999877929688}, '1_month_later': {'2022-08-11': 68.12000274658203}, '3_months_later': {'2022-10-11': 61.20000076293945}, '6_months_later': {'2023-01-11': 78.33000183105469}, '12_months_later': {'2023-07-11': 97.1500015258789}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BHB
|
{'date': '2022-07-11', 'ticker': 'BHB', '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': 25.89999961853028, 'high': 26.790000915527344, 'open': 26.38999938964844, 'close': 26.459999084472656, 'ema_50': 26.307983523893775, 'rsi_14': 65.4929629490334, 'target': 26.3799991607666, 'volume': 21400.0, 'ema_200': 27.619112142240862, 'adj_close': 24.940296173095703, 'rsi_lag_1': 66.14855260448834, 'rsi_lag_2': 62.89000852200389, 'rsi_lag_3': 63.48951527097784, 'rsi_lag_4': 64.1109412231065, 'rsi_lag_5': 62.2820980493033, 'macd_lag_1': 0.09244907808232483, 'macd_lag_2': 0.08146926398943677, 'macd_lag_3': 0.0489609223938281, 'macd_lag_4': 0.028138217598783655, 'macd_lag_5': -0.018193917699658613, 'macd_12_26_9': 0.11435679233410667, 'macds_12_26_9': -0.002883993093513921}, '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': 26.3799991607666, '2022-07-13': 25.950000762939453, '2022-07-14': 26.020000457763672, '2022-07-15': 26.940000534057617, '2022-07-18': 26.88999938964844, '2022-07-19': 27.780000686645508, '2022-07-20': 28.170000076293945, '2022-07-21': 28.350000381469727, '2022-07-22': 27.89999961853028, '2022-07-25': 28.57999992370605}, '1_month_later': {'2022-08-11': 29.729999542236328}, '3_months_later': {'2022-10-11': 27.1200008392334}, '6_months_later': {'2023-01-11': 31.81999969482422}, '12_months_later': {'2023-07-11': 24.5}}
|
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.
|
BHFAL
|
{'date': '2022-07-11', 'ticker': 'BHFAL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.56999969482422, 'high': 25.200000762939453, 'open': 24.940000534057617, 'close': 25.200000762939453, 'ema_50': 24.73564600016305, 'rsi_14': 68.22429462288282, 'target': 25.0, 'volume': 8600.0, 'ema_200': 25.602367958383045, 'adj_close': 22.76580047607422, 'rsi_lag_1': 64.33565594105627, 'rsi_lag_2': 57.74648265690785, 'rsi_lag_3': 65.01457758371896, 'rsi_lag_4': 72.8758316597291, 'rsi_lag_5': 53.09521473997416, 'macd_lag_1': 0.0037496720475544976, 'macd_lag_2': -0.016494009086237327, 'macd_lag_3': -0.0217288748501403, 'macd_lag_4': 0.007541991685943827, 'macd_lag_5': -0.0010256998590882915, 'macd_12_26_9': 0.051476328310268826, 'macds_12_26_9': -0.021339740011215073}, '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': 25.0, '2022-07-13': 24.790000915527344, '2022-07-14': 25.100000381469727, '2022-07-15': 24.88999938964844, '2022-07-18': 24.89999961853028, '2022-07-19': 25.030000686645508, '2022-07-20': 24.979999542236328, '2022-07-21': 25.0, '2022-07-22': 24.979999542236328, '2022-07-25': 25.280000686645508}, '1_month_later': {'2022-08-11': 25.700000762939453}, '3_months_later': {'2022-10-11': 22.280000686645508}, '6_months_later': {'2023-01-11': 23.959999084472656}, '12_months_later': {'2023-07-11': 22.350000381469727}}
|
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.
|
BHFAP
|
{'date': '2022-07-11', 'ticker': 'BHFAP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.802000045776367, 'high': 25.64999961853028, 'open': 25.040000915527344, 'close': 25.36000061035156, 'ema_50': 24.67853765415249, 'rsi_14': 83.28026367581383, 'target': 24.920000076293945, 'volume': 27200.0, 'ema_200': 25.671416769525315, 'adj_close': 22.82576942443848, 'rsi_lag_1': 72.27563887031134, 'rsi_lag_2': 63.01169394957459, 'rsi_lag_3': 66.1311960126952, 'rsi_lag_4': 67.89615898733376, 'rsi_lag_5': 48.20563102521363, 'macd_lag_1': 0.0333922383507641, 'macd_lag_2': -0.011451713104815298, 'macd_lag_3': -0.058340474658766794, 'macd_lag_4': -0.08883002951872143, 'macd_lag_5': -0.13561717317133315, 'macd_12_26_9': 0.09686384742974852, 'macds_12_26_9': -0.051477002974769454}, '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': 24.920000076293945, '2022-07-13': 25.01000022888184, '2022-07-14': 25.299999237060547, '2022-07-15': 24.604999542236328, '2022-07-18': 24.89999961853028, '2022-07-19': 25.11000061035156, '2022-07-20': 25.32999992370605, '2022-07-21': 25.21999931335449, '2022-07-22': 25.420000076293945, '2022-07-25': 25.31999969482422}, '1_month_later': {'2022-08-11': 25.209999084472656}, '3_months_later': {'2022-10-11': 23.5}, '6_months_later': {'2023-01-11': 24.89999961853028}, '12_months_later': {'2023-07-11': 22.229999542236328}}
|
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.
|
BHK
|
{'date': '2022-07-11', 'ticker': 'BHK', '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': 11.369999885559082, 'high': 11.520000457763672, 'open': 11.380000114440918, 'close': 11.520000457763672, 'ema_50': 11.628404110194825, 'rsi_14': 72.50000357627694, 'target': 11.579999923706056, 'volume': 172700.0, 'ema_200': 13.419835122629667, 'adj_close': 10.153728485107422, 'rsi_lag_1': 70.58822329444004, 'rsi_lag_2': 71.73910789994716, 'rsi_lag_3': 74.57631502097549, 'rsi_lag_4': 53.03645084655062, 'rsi_lag_5': 48.770502055091136, 'macd_lag_1': -0.03669689779595586, 'macd_lag_2': -0.035586174982643826, 'macd_lag_3': -0.05299628350384111, 'macd_lag_4': -0.08666532516006065, 'macd_lag_5': -0.12736047393097216, 'macd_12_26_9': -0.018801306049457622, 'macds_12_26_9': -0.09120740019100078}, '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': 11.579999923706056, '2022-07-13': 11.449999809265137, '2022-07-14': 11.449999809265137, '2022-07-15': 11.470000267028809, '2022-07-18': 11.449999809265137, '2022-07-19': 11.550000190734863, '2022-07-20': 11.890000343322754, '2022-07-21': 11.789999961853027, '2022-07-22': 11.90999984741211, '2022-07-25': 11.899999618530272}, '1_month_later': {'2022-08-11': 12.260000228881836}, '3_months_later': {'2022-10-11': 10.050000190734863}, '6_months_later': {'2023-01-11': 11.220000267028809}, '12_months_later': {'2023-07-11': 10.699999809265137}}
|
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.
|
BHR
|
{'date': '2022-07-11', 'ticker': 'BHR', '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': 4.320000171661377, 'high': 4.480000019073486, 'open': 4.420000076293945, 'close': 4.480000019073486, 'ema_50': 5.187277383638022, 'rsi_14': 37.790697352057144, 'target': 4.659999847412109, 'volume': 216600.0, 'ema_200': 5.434342301275431, 'adj_close': 4.141549110412598, 'rsi_lag_1': 35.71428758570295, 'rsi_lag_2': 23.55555988829721, 'rsi_lag_3': 31.200002441405772, 'rsi_lag_4': 33.61702101756242, 'rsi_lag_5': 23.734178361249434, 'macd_lag_1': -0.35936325914423684, 'macd_lag_2': -0.38351986193839505, 'macd_lag_3': -0.39655583043781917, 'macd_lag_4': -0.3890990779891821, 'macd_lag_5': -0.3902128694711857, 'macd_12_26_9': -0.33634183804745454, 'macds_12_26_9': -0.34641856217649847}, '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': 4.659999847412109, '2022-07-13': 4.690000057220459, '2022-07-14': 4.599999904632568, '2022-07-15': 4.690000057220459, '2022-07-18': 4.889999866485596, '2022-07-19': 5.179999828338623, '2022-07-20': 5.360000133514404, '2022-07-21': 5.269999980926514, '2022-07-22': 5.119999885559082, '2022-07-25': 5.239999771118164}, '1_month_later': {'2022-08-11': 5.440000057220459}, '3_months_later': {'2022-10-11': 4.25}, '6_months_later': {'2023-01-11': 4.639999866485596}, '12_months_later': {'2023-07-11': 3.9800000190734863}}
|
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.
|
BHV
|
{'date': '2022-07-11', 'ticker': 'BHV', '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': 13.65999984741211, 'high': 13.9399995803833, 'open': 13.65999984741211, 'close': 13.899999618530272, 'ema_50': 13.509258374021401, 'rsi_14': 89.38053769525537, 'target': 13.9399995803833, 'volume': 2500.0, 'ema_200': 16.01969475582678, 'adj_close': 13.207560539245604, 'rsi_lag_1': 88.88889870035375, 'rsi_lag_2': 84.2105311189838, 'rsi_lag_3': 81.8681330197735, 'rsi_lag_4': 77.60419020844246, 'rsi_lag_5': 47.715731371635826, 'macd_lag_1': 0.02368839634273634, 'macd_lag_2': -0.05402275674852497, 'macd_lag_3': -0.13613376758669915, 'macd_lag_4': -0.21044808471636856, 'macd_lag_5': -0.30223911371145107, 'macd_12_26_9': 0.10344853054795777, 'macds_12_26_9': -0.14891048699418494}, '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': 13.9399995803833, '2022-07-13': 14.18000030517578, '2022-07-14': 14.039999961853027, '2022-07-15': 13.960000038146973, '2022-07-18': 14.06999969482422, '2022-07-19': 14.039999961853027, '2022-07-20': 14.010000228881836, '2022-07-21': 14.020000457763672, '2022-07-22': 13.539999961853027, '2022-07-25': 13.5600004196167}, '1_month_later': {'2022-08-11': 15.0}, '3_months_later': {'2022-10-11': 11.579999923706056}, '6_months_later': {'2023-01-11': 11.81999969482422}, '12_months_later': {'2023-07-11': 10.65999984741211}}
|
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.
|
BIB
|
{'date': '2022-07-11', 'ticker': 'BIB', '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': 53.7599983215332, 'high': 55.59000015258789, 'open': 55.59000015258789, 'close': 53.86000061035156, 'ema_50': 50.01312326655091, 'rsi_14': 74.8311554119066, 'target': 53.77999877929688, 'volume': 22600.0, 'ema_200': 63.31539460696976, 'adj_close': 53.80429458618164, 'rsi_lag_1': 85.96641556120377, 'rsi_lag_2': 78.63878064855777, 'rsi_lag_3': 78.14596812712665, 'rsi_lag_4': 78.08160722458916, 'rsi_lag_5': 65.18459861937959, 'macd_lag_1': 1.919869686993522, 'macd_lag_2': 1.5573352729927947, 'macd_lag_3': 1.1523934490546708, 'macd_lag_4': 0.8753602083960672, 'macd_lag_5': 0.5334690763681138, 'macd_12_26_9': 1.9961589765781937, 'macds_12_26_9': 0.9863080601105431}, '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': 53.77999877929688, '2022-07-13': 53.650001525878906, '2022-07-14': 52.040000915527344, '2022-07-15': 53.65999984741211, '2022-07-18': 51.47999954223633, '2022-07-19': 54.220001220703125, '2022-07-20': 54.31999969482422, '2022-07-21': 54.16999816894531, '2022-07-22': 51.880001068115234, '2022-07-25': 52.18999862670898}, '1_month_later': {'2022-08-11': 58.84000015258789}, '3_months_later': {'2022-10-11': 48.59999847412109}, '6_months_later': {'2023-01-11': 59.54999923706055}, '12_months_later': {'2023-07-11': 51.34999847412109}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BIBL
|
{'date': '2022-07-11', 'ticker': 'BIBL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.51000022888184, 'high': 29.799999237060547, 'open': 29.799999237060547, 'close': 29.64999961853028, 'ema_50': 31.038186228247234, 'rsi_14': 63.86961772327043, 'target': 29.239999771118164, 'volume': 18000.0, 'ema_200': 35.36067112020152, 'adj_close': 29.245513916015625, 'rsi_lag_1': 69.27829520914126, 'rsi_lag_2': 54.78889606775189, 'rsi_lag_3': 53.73075672780054, 'rsi_lag_4': 52.771186501468854, 'rsi_lag_5': 40.51617613436369, 'macd_lag_1': -0.4235824335402043, 'macd_lag_2': -0.48101444803858584, 'macd_lag_3': -0.559540276385178, 'macd_lag_4': -0.594610893104182, 'macd_lag_5': -0.6286884570262607, 'macd_12_26_9': -0.3992857319272751, 'macds_12_26_9': -0.5378736979065903}, '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': 29.239999771118164, '2022-07-13': 29.11000061035156, '2022-07-14': 28.81999969482422, '2022-07-15': 29.474000930786133, '2022-07-18': 29.34000015258789, '2022-07-19': 30.32999992370605, '2022-07-20': 30.600000381469727, '2022-07-21': 31.0, '2022-07-22': 30.84000015258789, '2022-07-25': 30.799999237060547}, '1_month_later': {'2022-08-11': 33.349998474121094}, '3_months_later': {'2022-10-11': 27.700000762939453}, '6_months_later': {'2023-01-11': 31.26000022888184}, '12_months_later': {'2023-07-11': 33.349998474121094}}
|
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.
|
BIG
|
{'date': '2022-07-11', 'ticker': 'BIG', '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': 22.450000762939453, 'high': 23.13999938964844, 'open': 22.68000030517578, 'close': 22.979999542236328, 'ema_50': 25.831273255136765, 'rsi_14': 58.22784402638819, 'target': 23.030000686645508, 'volume': 1041800.0, 'ema_200': 36.5881063337219, 'adj_close': 21.767202377319336, 'rsi_lag_1': 56.62147172898233, 'rsi_lag_2': 43.01309802708149, 'rsi_lag_3': 32.99748153187433, 'rsi_lag_4': 35.07363334790443, 'rsi_lag_5': 28.074865969260614, 'macd_lag_1': -1.407456661616461, 'macd_lag_2': -1.6370026897514514, 'macd_lag_3': -1.754466877115327, 'macd_lag_4': -1.744474407301439, 'macd_lag_5': -1.7939099075049363, 'macd_12_26_9': -1.2043940158727366, 'macds_12_26_9': -1.6448763465434175}, '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': 23.030000686645508, '2022-07-13': 22.850000381469727, '2022-07-14': 21.959999084472656, '2022-07-15': 22.18000030517578, '2022-07-18': 22.309999465942383, '2022-07-19': 22.540000915527344, '2022-07-20': 22.600000381469727, '2022-07-21': 21.780000686645508, '2022-07-22': 21.43000030517578, '2022-07-25': 20.690000534057617}, '1_month_later': {'2022-08-11': 23.14999961853028}, '3_months_later': {'2022-10-11': 17.719999313354492}, '6_months_later': {'2023-01-11': 18.96999931335449}, '12_months_later': {'2023-07-11': 9.800000190734863}}
|
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.
|
BK
|
{'date': '2022-07-11', 'ticker': 'BK', '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': 41.93999862670898, 'open': 41.45000076293945, 'close': 41.709999084472656, 'ema_50': 44.00474692292074, 'rsi_14': 53.69897046866812, 'target': 41.77000045776367, 'volume': 2285100.0, 'ema_200': 49.25535976210543, 'adj_close': 39.54502487182617, 'rsi_lag_1': 54.39277237169984, 'rsi_lag_2': 52.62501615288185, 'rsi_lag_3': 55.7243254083202, 'rsi_lag_4': 53.415459746153694, 'rsi_lag_5': 48.13318418412793, 'macd_lag_1': -0.5744563040051247, 'macd_lag_2': -0.582239420385477, 'macd_lag_3': -0.6244319981766608, 'macd_lag_4': -0.5969116070739844, 'macd_lag_5': -0.6040123208727763, 'macd_12_26_9': -0.5761709089176605, 'macds_12_26_9': -0.6102165016895242}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 41.77000045776367, '2022-07-13': 41.27000045776367, '2022-07-14': 40.43999862670898, '2022-07-15': 43.40999984741211, '2022-07-18': 42.77000045776367, '2022-07-19': 43.58000183105469, '2022-07-20': 43.130001068115234, '2022-07-21': 43.47999954223633, '2022-07-22': 42.720001220703125, '2022-07-25': 43.02000045776367}, '1_month_later': {'2022-08-11': 44.369998931884766}, '3_months_later': {'2022-10-11': 38.47999954223633}, '6_months_later': {'2023-01-11': 48.18000030517578}, '12_months_later': {'2023-07-11': 44.650001525878906}}
|
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.
|
BJUL
|
{'date': '2022-07-11', 'ticker': 'BJUL', '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': 30.520000457763672, 'high': 30.709999084472656, 'open': 30.59000015258789, 'close': 30.520000457763672, 'ema_50': 30.722348814688658, 'rsi_14': 70.03154042674049, 'target': 30.40999984741211, 'volume': 43500.0, 'ema_200': 31.493449377759077, 'adj_close': 30.520000457763672, 'rsi_lag_1': 78.20067925295388, 'rsi_lag_2': 62.67407857630132, 'rsi_lag_3': 62.569813948458005, 'rsi_lag_4': 61.73183970607667, 'rsi_lag_5': 49.41452942584843, 'macd_lag_1': 0.007654676927028703, 'macd_lag_2': -0.027491807179607974, 'macd_lag_3': -0.07093341548513621, 'macd_lag_4': -0.09174895362888336, 'macd_lag_5': -0.113928003984757, 'macd_12_26_9': 0.009576822130842544, 'macds_12_26_9': -0.07556577101410317}, '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': 30.40999984741211, '2022-07-13': 30.280000686645508, '2022-07-14': 30.15999984741211, '2022-07-15': 30.63999938964844, '2022-07-18': 30.459999084472656, '2022-07-19': 31.01000022888184, '2022-07-20': 31.170000076293945, '2022-07-21': 31.3700008392334, '2022-07-22': 31.200000762939453, '2022-07-25': 31.15999984741211}, '1_month_later': {'2022-08-11': 32.36000061035156}, '3_months_later': {'2022-10-11': 29.1200008392334}, '6_months_later': {'2023-01-11': 31.690000534057617}, '12_months_later': {'2023-07-11': 35.220001220703125}}
|
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.
|
BJRI
|
{'date': '2022-07-11', 'ticker': 'BJRI', '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': 20.239999771118164, 'high': 20.959999084472656, 'open': 20.75, 'close': 20.40999984741211, 'ema_50': 24.349800270068023, 'rsi_14': 37.638375150133335, 'target': 20.8700008392334, 'volume': 338300.0, 'ema_200': 30.355280909325913, 'adj_close': 20.40999984741211, 'rsi_lag_1': 44.188104170002134, 'rsi_lag_2': 42.93103618372373, 'rsi_lag_3': 46.266232786059376, 'rsi_lag_4': 48.510636432832186, 'rsi_lag_5': 39.41082657459558, 'macd_lag_1': -0.901810011558684, 'macd_lag_2': -0.8140619570522105, 'macd_lag_3': -0.8042590790105919, 'macd_lag_4': -0.7627396293928399, 'macd_lag_5': -0.8014877060302581, 'macd_12_26_9': -0.9977742728605961, 'macds_12_26_9': -0.821499114192283}, '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': 20.8700008392334, '2022-07-13': 20.8799991607666, '2022-07-14': 21.1200008392334, '2022-07-15': 21.82999992370605, '2022-07-18': 22.049999237060547, '2022-07-19': 23.049999237060547, '2022-07-20': 23.57999992370605, '2022-07-21': 23.21999931335449, '2022-07-22': 22.88999938964844, '2022-07-25': 22.36000061035156}, '1_month_later': {'2022-08-11': 25.6200008392334}, '3_months_later': {'2022-10-11': 25.440000534057617}, '6_months_later': {'2023-01-11': 30.6200008392334}, '12_months_later': {'2023-07-11': 31.93000030517578}}
|
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.
|
BJK
|
{'date': '2022-07-11', 'ticker': 'BJK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.4900016784668, 'high': 33.220001220703125, 'open': 33.130001068115234, 'close': 32.68000030517578, 'ema_50': 35.166700850393376, 'rsi_14': 50.44379674904562, 'target': 33.0, 'volume': 8900.0, 'ema_200': 40.2317392735606, 'adj_close': 31.990009307861328, 'rsi_lag_1': 64.22337720784482, 'rsi_lag_2': 54.197341513292436, 'rsi_lag_3': 57.68707172295889, 'rsi_lag_4': 60.67708786058892, 'rsi_lag_5': 47.942382470632374, 'macd_lag_1': -0.3032851183805576, 'macd_lag_2': -0.31120504136413984, 'macd_lag_3': -0.3463144902243158, 'macd_lag_4': -0.355544235501867, 'macd_lag_5': -0.37131684613051874, 'macd_12_26_9': -0.39732745269306236, 'macds_12_26_9': -0.3978266892821612}, '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': 33.0, '2022-07-13': 33.06999969482422, '2022-07-14': 32.869998931884766, '2022-07-15': 33.810001373291016, '2022-07-18': 33.84000015258789, '2022-07-19': 34.709999084472656, '2022-07-20': 35.209999084472656, '2022-07-21': 35.349998474121094, '2022-07-22': 35.2599983215332, '2022-07-25': 35.54999923706055}, '1_month_later': {'2022-08-11': 37.630001068115234}, '3_months_later': {'2022-10-11': 32.88999938964844}, '6_months_later': {'2023-01-11': 41.560001373291016}, '12_months_later': {'2023-07-11': 45.5}}
|
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.
|
BIZD
|
{'date': '2022-07-11', 'ticker': 'BIZD', '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': 15.109999656677246, 'high': 15.31999969482422, 'open': 15.300000190734863, 'close': 15.140000343322754, 'ema_50': 15.767073615597043, 'rsi_14': 62.31158331596113, 'target': 15.25, 'volume': 174400.0, 'ema_200': 16.60261525085879, 'adj_close': 13.082172393798828, 'rsi_lag_1': 73.6040768865088, 'rsi_lag_2': 52.43902202638731, 'rsi_lag_3': 51.04602894460989, 'rsi_lag_4': 52.58620370724339, 'rsi_lag_5': 38.18771025585633, 'macd_lag_1': -0.19635413522044765, 'macd_lag_2': -0.23170601438830118, 'macd_lag_3': -0.25716670458039204, 'macd_lag_4': -0.2686140984090155, 'macd_lag_5': -0.29255439675286254, 'macd_12_26_9': -0.18476668186026401, 'macds_12_26_9': -0.25950648093272266}, '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': 15.25, '2022-07-13': 15.170000076293944, '2022-07-14': 15.0, '2022-07-15': 15.149999618530272, '2022-07-18': 15.239999771118164, '2022-07-19': 15.470000267028809, '2022-07-20': 15.550000190734863, '2022-07-21': 15.529999732971191, '2022-07-22': 15.489999771118164, '2022-07-25': 15.359999656677246}, '1_month_later': {'2022-08-11': 16.489999771118164}, '3_months_later': {'2022-10-11': 13.359999656677246}, '6_months_later': {'2023-01-11': 14.960000038146973}, '12_months_later': {'2023-07-11': 15.220000267028809}}
|
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.
|
BIV
|
{'date': '2022-07-11', 'ticker': 'BIV', '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': 77.55000305175781, 'high': 77.88999938964844, 'open': 77.55000305175781, 'close': 77.76000213623047, 'ema_50': 78.20972120231689, 'rsi_14': 61.523784057931, 'target': 77.66000366210938, 'volume': 760100.0, 'ema_200': 82.71742011384677, 'adj_close': 74.4084243774414, 'rsi_lag_1': 58.230483037942896, 'rsi_lag_2': 65.55321063655259, 'rsi_lag_3': 73.76144759792928, 'rsi_lag_4': 75.42215790430467, 'rsi_lag_5': 59.62739100250918, 'macd_lag_1': -0.06029137468763679, 'macd_lag_2': -0.04660841290251483, 'macd_lag_3': -0.06715666692983291, 'macd_lag_4': -0.11480701120460424, 'macd_lag_5': -0.22995656845857582, 'macd_12_26_9': -0.03841560906812447, 'macds_12_26_9': -0.18559420067260685}, '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': 77.66000366210938, '2022-07-13': 78.12000274658203, '2022-07-14': 77.69000244140625, '2022-07-15': 78.08000183105469, '2022-07-18': 77.81999969482422, '2022-07-19': 77.69999694824219, '2022-07-20': 77.5999984741211, '2022-07-21': 78.37000274658203, '2022-07-22': 79.05999755859375, '2022-07-25': 78.80999755859375}, '1_month_later': {'2022-08-11': 78.75}, '3_months_later': {'2022-10-11': 72.83999633789062}, '6_months_later': {'2023-01-11': 76.23999786376953}, '12_months_later': {'2023-07-11': 74.41000366210938}}
|
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.
|
BH-A
|
{'date': '2022-07-11', 'ticker': 'BH-A', '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': 585.6500244140625, 'high': 585.6500854492188, 'open': 585.6500854492188, 'close': 585.6500244140625, 'ema_50': 634.613995606984, 'rsi_14': 51.07360057792966, 'target': 585.2000122070312, 'volume': 122.0, 'ema_200': 686.4649857183048, 'adj_close': 585.6500244140625, 'rsi_lag_1': 58.36247098202014, 'rsi_lag_2': 40.53171950603903, 'rsi_lag_3': 33.4783451206779, 'rsi_lag_4': 33.4783451206779, 'rsi_lag_5': 32.35888488966836, 'macd_lag_1': -14.96209254945984, 'macd_lag_2': -17.87792726406701, 'macd_lag_3': -19.081223558062902, 'macd_lag_4': -20.339522121554864, 'macd_lag_5': -21.649721057189367, 'macd_12_26_9': -14.846810078851604, 'macds_12_26_9': -18.825271892311626}, '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': 585.2000122070312, '2022-07-13': 578.6099853515625, '2022-07-14': 582.260009765625, '2022-07-15': 582.510009765625, '2022-07-18': 590.0499877929688, '2022-07-19': 590.0, '2022-07-20': 587.2999877929688, '2022-07-21': 587.2999877929688, '2022-07-22': 588.3200073242188, '2022-07-25': 588.6099853515625}, '1_month_later': {'2022-08-11': 650.0}, '3_months_later': {'2022-10-11': 607.0100708007812}, '6_months_later': {'2023-01-11': 700.0}, '12_months_later': {'2023-07-11': 1002.2999877929688}}
|
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.
|
bit
|
{'date': '2022-07-11', 'ticker': 'bit', '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': 14.369999885559082, 'high': 14.5600004196167, 'open': 14.489999771118164, 'close': 14.5600004196167, 'ema_50': 14.718052409002606, 'rsi_14': 91.5094229283007, 'target': 14.649999618530272, 'volume': 181200.0, 'ema_200': 16.202928178214226, 'adj_close': 12.53293800354004, 'rsi_lag_1': 90.62498447795754, 'rsi_lag_2': 49.00663088175753, 'rsi_lag_3': 50.0, 'rsi_lag_4': 48.734177597209914, 'rsi_lag_5': 36.66665304274422, 'macd_lag_1': -0.1384106737921975, 'macd_lag_2': -0.1672411942671843, 'macd_lag_3': -0.18837044774102019, 'macd_lag_4': -0.2064899911195095, 'macd_lag_5': -0.23272276024910532, 'macd_12_26_9': -0.10307721100351763, 'macds_12_26_9': -0.1927547856090693}, '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': 14.649999618530272, '2022-07-13': 14.779999732971191, '2022-07-14': 14.529999732971191, '2022-07-15': 14.510000228881836, '2022-07-18': 14.539999961853027, '2022-07-19': 14.65999984741211, '2022-07-20': 14.75, '2022-07-21': 14.859999656677246, '2022-07-22': 14.880000114440918, '2022-07-25': 14.90999984741211}, '1_month_later': {'2022-08-11': 16.700000762939453}, '3_months_later': {'2022-10-11': 14.859999656677246}, '6_months_later': {'2023-01-11': 14.989999771118164}, '12_months_later': {'2023-07-11': 14.460000038146973}}
|
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.
|
BIPC
|
{'date': '2022-07-11', 'ticker': 'BIPC', '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/warren-buffetts-advice-on-what-stocks-to-buy-when-inflation-is-high', 'news_author': None, 'news_article': 'Sorry, Bob Barker and Drew Carey: The price isn\'t right. Inflation is at its highest level in 40 years. Nearly everything is more expensive these days, including gas, groceries, and any product that uses a microchip.\nThis rampant inflation is a big reason the stock market has been a dumpster fire so far in 2022. But that hasn\'t stopped Warren Buffett from scooping up plenty of stocks for Berkshire Hathaway\'s (NYSE: BRK.A) (NYSE: BRK.B) portfolio. Here\'s Buffett\'s advice on what stocks to buy when inflation is high.\nWise then and now\nBuffett will turn 92 in August. He\'s lived through plenty of inflationary periods. One of them was in the early 1980s, when inflation rates were even higher than they are now. In 1982, Buffett wrote to Berkshire Hathaway shareholders about two characteristics that businesses should have to adapt to high-inflation environments.\nFirst, he said that a company must have "an ability to increase prices rather easily (even when product demand is flat, and capacity is not fully utilized) without fear of significant loss of either market share or unit volume." The last part of this statement is important. Any business can increase its prices. However, doing so results in lower market share and/or unit volume in many cases because consumers choose to buy less of the companies\' higher-price products.\nSecond, Buffett wrote that companies should possess "an ability to accommodate large dollar volume increases in business (often produced more by inflation than by real growth) with only minor additional investment of capital." In other words, inflation-resistant businesses shouldn\'t have to spend heavily to boost revenue.\nBuffett was referring to corporate acquisitions in these comments. However, his ideas apply just as well to buying stocks. After all, buying a stock is basically just an acquisition on a small scale. The legendary investor\'s perspective was wise four decades ago. And it\'s still wise today.\nChecking off the boxes\nThe obvious question with Buffett\'s advice in mind is: Which stocks meet those two criteria? It\'s not too hard to find stocks of companies that can satisfy one of the criteria. But there aren\'t many that can check off both boxes.\nWe only have to look at Buffett\'s recent investment activity to find one great example of a stock that\'s practically inflation-proof. In the first quarter of 2022, Berkshire initiated a position in Markel (NYSE: MKL). The specialty insurer can easily raise its premiums to adjust for inflation. Markel doesn\'t have to ramp up its capital spending to grow revenue, either.\nIt shouldn\'t be surprising that Markel has trounced the overall stock market so far this year. The stock is up while the major market indexes are down significantly.\nThere are also stocks not among Berkshire\'s holdings that fulfill Buffett\'s criteria. Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. The company operates infrastructure assets around the world, including cell towers, data centers, pipelines, railroads, toll roads, and more.\nBut do infrastructure stocks such as Brookfield Infrastructure handle high inflation well? Actually, yes. Around 70% of Brookfield Infrastructure\'s cash flow is indexed to inflation. While the company\'s growth does depend in part on investing capital in acquiring additional assets, maximizing the utilization of existing assets can also drive growth.\nBrookfield Infrastructure stock has declined somewhat year to date. However, it\'s still outperforming the broader market. This isn\'t a surprise. Infrastructure stocks have historically beaten the market during high-inflation periods.\nTale of the tapeworm\nBuffett\'s 1982 letter to Berkshire shareholders referred to inflation as "a gigantic corporate tapeworm." He said that this tapeworm eats into companies\' profits, leaving little left over for funding expansion, reducing debt, or paying dividends.\nBut not every business is susceptible to this inflationary tapeworm. The stocks of the ones that aren\'t are the best to consider buying -- if the price is right, of course.\n10 stocks we like better than Brookfield Infrastructure Partners\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 Brookfield Infrastructure Partners 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\n Keith Speights has positions in Berkshire Hathaway (B shares), Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners. The Motley Fool has positions in and recommends Berkshire Hathaway (B shares) and Markel. The Motley Fool recommends Brookfield Infra Partners LP Units, Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners and recommends the following options: long January 2023 $200 calls on Berkshire Hathaway (B shares), short January 2023 $200 puts on Berkshire Hathaway (B shares), and short January 2023 $265 calls on Berkshire Hathaway (B shares). The Motley Fool has a disclosure policy.\n The 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': 'Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. First, he said that a company must have "an ability to increase prices rather easily (even when product demand is flat, and capacity is not fully utilized) without fear of significant loss of either market share or unit volume." Second, Buffett wrote that companies should possess "an ability to accommodate large dollar volume increases in business (often produced more by inflation than by real growth) with only minor additional investment of capital."', 'news_luhn_summary': 'Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. See the 10 stocks *Stock Advisor returns as of June 2, 2022 Keith Speights has positions in Berkshire Hathaway (B shares), Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners. The Motley Fool has positions in and recommends Berkshire Hathaway (B shares) and Markel.', 'news_article_title': "Warren Buffett's Advice on What Stocks to Buy When Inflation Is High", 'news_lexrank_summary': "Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. It shouldn't be surprising that Markel has trounced the overall stock market so far this year. The stocks of the ones that aren't are the best to consider buying -- if the price is right, of course.", 'news_textrank_summary': 'Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. 10 stocks we like better than Brookfield Infrastructure Partners When our award-winning analyst team has a stock tip, it can pay to listen. See the 10 stocks *Stock Advisor returns as of June 2, 2022 Keith Speights has positions in Berkshire Hathaway (B shares), Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners.'}], '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': 41.369998931884766, 'high': 42.125, 'open': 42.02000045776367, 'close': 41.59999847412109, 'ema_50': 44.78836771848002, 'rsi_14': 42.89940116066032, 'target': 42.4900016784668, 'volume': 209300.0, 'ema_200': 45.293563946630094, 'adj_close': 39.41265106201172, 'rsi_lag_1': 44.569685826917535, 'rsi_lag_2': 41.07649347683411, 'rsi_lag_3': 39.358589666879425, 'rsi_lag_4': 35.93116248253365, 'rsi_lag_5': 34.88371482806498, 'macd_lag_1': -1.1084567689388436, 'macd_lag_2': -1.1982572830408529, 'macd_lag_3': -1.3117370904778767, 'macd_lag_4': -1.3855712876925281, 'macd_lag_5': -1.4087477170437026, 'macd_12_26_9': -1.0932747052154994, 'macds_12_26_9': -1.2854873885394706}, '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': 42.4900016784668, '2022-07-13': 42.58000183105469, '2022-07-14': 41.86000061035156, '2022-07-15': 42.470001220703125, '2022-07-18': 41.52000045776367, '2022-07-19': 42.310001373291016, '2022-07-20': 42.20000076293945, '2022-07-21': 42.52999877929688, '2022-07-22': 42.59000015258789, '2022-07-25': 43.79999923706055}, '1_month_later': {'2022-08-11': 47.630001068115234}, '3_months_later': {'2022-10-11': 38.27000045776367}, '6_months_later': {'2023-01-11': 42.810001373291016}, '12_months_later': {'2023-07-11': 45.16999816894531}}
|
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.
|
BIP
|
{'date': '2022-07-11', 'ticker': 'BIP', '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/warren-buffetts-advice-on-what-stocks-to-buy-when-inflation-is-high', 'news_author': None, 'news_article': 'Sorry, Bob Barker and Drew Carey: The price isn\'t right. Inflation is at its highest level in 40 years. Nearly everything is more expensive these days, including gas, groceries, and any product that uses a microchip.\nThis rampant inflation is a big reason the stock market has been a dumpster fire so far in 2022. But that hasn\'t stopped Warren Buffett from scooping up plenty of stocks for Berkshire Hathaway\'s (NYSE: BRK.A) (NYSE: BRK.B) portfolio. Here\'s Buffett\'s advice on what stocks to buy when inflation is high.\nWise then and now\nBuffett will turn 92 in August. He\'s lived through plenty of inflationary periods. One of them was in the early 1980s, when inflation rates were even higher than they are now. In 1982, Buffett wrote to Berkshire Hathaway shareholders about two characteristics that businesses should have to adapt to high-inflation environments.\nFirst, he said that a company must have "an ability to increase prices rather easily (even when product demand is flat, and capacity is not fully utilized) without fear of significant loss of either market share or unit volume." The last part of this statement is important. Any business can increase its prices. However, doing so results in lower market share and/or unit volume in many cases because consumers choose to buy less of the companies\' higher-price products.\nSecond, Buffett wrote that companies should possess "an ability to accommodate large dollar volume increases in business (often produced more by inflation than by real growth) with only minor additional investment of capital." In other words, inflation-resistant businesses shouldn\'t have to spend heavily to boost revenue.\nBuffett was referring to corporate acquisitions in these comments. However, his ideas apply just as well to buying stocks. After all, buying a stock is basically just an acquisition on a small scale. The legendary investor\'s perspective was wise four decades ago. And it\'s still wise today.\nChecking off the boxes\nThe obvious question with Buffett\'s advice in mind is: Which stocks meet those two criteria? It\'s not too hard to find stocks of companies that can satisfy one of the criteria. But there aren\'t many that can check off both boxes.\nWe only have to look at Buffett\'s recent investment activity to find one great example of a stock that\'s practically inflation-proof. In the first quarter of 2022, Berkshire initiated a position in Markel (NYSE: MKL). The specialty insurer can easily raise its premiums to adjust for inflation. Markel doesn\'t have to ramp up its capital spending to grow revenue, either.\nIt shouldn\'t be surprising that Markel has trounced the overall stock market so far this year. The stock is up while the major market indexes are down significantly.\nThere are also stocks not among Berkshire\'s holdings that fulfill Buffett\'s criteria. Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. The company operates infrastructure assets around the world, including cell towers, data centers, pipelines, railroads, toll roads, and more.\nBut do infrastructure stocks such as Brookfield Infrastructure handle high inflation well? Actually, yes. Around 70% of Brookfield Infrastructure\'s cash flow is indexed to inflation. While the company\'s growth does depend in part on investing capital in acquiring additional assets, maximizing the utilization of existing assets can also drive growth.\nBrookfield Infrastructure stock has declined somewhat year to date. However, it\'s still outperforming the broader market. This isn\'t a surprise. Infrastructure stocks have historically beaten the market during high-inflation periods.\nTale of the tapeworm\nBuffett\'s 1982 letter to Berkshire shareholders referred to inflation as "a gigantic corporate tapeworm." He said that this tapeworm eats into companies\' profits, leaving little left over for funding expansion, reducing debt, or paying dividends.\nBut not every business is susceptible to this inflationary tapeworm. The stocks of the ones that aren\'t are the best to consider buying -- if the price is right, of course.\n10 stocks we like better than Brookfield Infrastructure Partners\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 Brookfield Infrastructure Partners 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\n Keith Speights has positions in Berkshire Hathaway (B shares), Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners. The Motley Fool has positions in and recommends Berkshire Hathaway (B shares) and Markel. The Motley Fool recommends Brookfield Infra Partners LP Units, Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners and recommends the following options: long January 2023 $200 calls on Berkshire Hathaway (B shares), short January 2023 $200 puts on Berkshire Hathaway (B shares), and short January 2023 $265 calls on Berkshire Hathaway (B shares). The Motley Fool has a disclosure policy.\n The 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': 'Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. First, he said that a company must have "an ability to increase prices rather easily (even when product demand is flat, and capacity is not fully utilized) without fear of significant loss of either market share or unit volume." Second, Buffett wrote that companies should possess "an ability to accommodate large dollar volume increases in business (often produced more by inflation than by real growth) with only minor additional investment of capital."', 'news_luhn_summary': 'Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. See the 10 stocks *Stock Advisor returns as of June 2, 2022 Keith Speights has positions in Berkshire Hathaway (B shares), Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners. The Motley Fool has positions in and recommends Berkshire Hathaway (B shares) and Markel.', 'news_article_title': "Warren Buffett's Advice on What Stocks to Buy When Inflation Is High", 'news_lexrank_summary': "Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. It shouldn't be surprising that Markel has trounced the overall stock market so far this year. The stocks of the ones that aren't are the best to consider buying -- if the price is right, of course.", 'news_textrank_summary': 'Brookfield Infrastructure Partners (NYSE: BIP) (NYSE: BIPC) stands out as a good example. 10 stocks we like better than Brookfield Infrastructure Partners When our award-winning analyst team has a stock tip, it can pay to listen. See the 10 stocks *Stock Advisor returns as of June 2, 2022 Keith Speights has positions in Berkshire Hathaway (B shares), Brookfield Infrastructure Corporation, and Brookfield Infrastructure Partners.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.86000061035156, 'high': 38.400001525878906, 'open': 38.130001068115234, 'close': 38.36000061035156, 'ema_50': 39.470137912958556, 'rsi_14': 54.78142866746609, 'target': 38.27999877929688, 'volume': 196600.0, 'ema_200': 39.6199417542356, 'adj_close': 35.892147064208984, 'rsi_lag_1': 50.129536687072665, 'rsi_lag_2': 42.15686722646055, 'rsi_lag_3': 39.244837825062405, 'rsi_lag_4': 39.56170972542073, 'rsi_lag_5': 42.189412775445525, 'macd_lag_1': -0.6204358231474103, 'macd_lag_2': -0.6875513704156901, 'macd_lag_3': -0.7703417088323334, 'macd_lag_4': -0.7864072693106223, 'macd_lag_5': -0.8229650710125114, 'macd_12_26_9': -0.5496138809778444, 'macds_12_26_9': -0.7343543619260349}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 38.27999877929688, '2022-07-13': 38.18999862670898, '2022-07-14': 37.900001525878906, '2022-07-15': 37.7400016784668, '2022-07-18': 37.45000076293945, '2022-07-19': 37.470001220703125, '2022-07-20': 38.09999847412109, '2022-07-21': 39.060001373291016, '2022-07-22': 38.93999862670898, '2022-07-25': 39.11000061035156}, '1_month_later': {'2022-08-11': 41.540000915527344}, '3_months_later': {'2022-10-11': 33.15999984741211}, '6_months_later': {'2023-01-11': 34.06999969482422}, '12_months_later': {'2023-07-11': 34.79999923706055}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BIOX
|
{'date': '2022-07-11', 'ticker': 'BIOX', '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': 11.40999984741211, 'high': 12.470000267028809, 'open': 12.380000114440918, 'close': 11.520000457763672, 'ema_50': 13.153878618609637, 'rsi_14': 42.953028439127216, 'target': 9.4399995803833, 'volume': 101200.0, 'ema_200': 13.091923402945856, 'adj_close': 11.520000457763672, 'rsi_lag_1': 40.50633267944269, 'rsi_lag_2': 39.03966389251631, 'rsi_lag_3': 42.29249339637133, 'rsi_lag_4': 37.80919436422274, 'rsi_lag_5': 41.23314302724497, 'macd_lag_1': -0.36709027891251367, 'macd_lag_2': -0.35077184176904375, 'macd_lag_3': -0.3197505176053692, 'macd_lag_4': -0.2551414939279315, 'macd_lag_5': -0.19951121048823772, 'macd_12_26_9': -0.4315324548618822, 'macds_12_26_9': -0.3098320217901142}, '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': 9.4399995803833, '2022-07-13': 10.56999969482422, '2022-07-14': 10.170000076293944, '2022-07-15': 10.100000381469728, '2022-07-18': 10.050000190734863, '2022-07-19': 9.979999542236328, '2022-07-20': 10.4399995803833, '2022-07-21': 9.899999618530272, '2022-07-22': 9.760000228881836, '2022-07-25': 9.949999809265137}, '1_month_later': {'2022-08-11': 12.119999885559082}, '3_months_later': {'2022-10-11': 12.420000076293944}, '6_months_later': {'2023-01-11': 12.5}, '12_months_later': {'2023-07-11': 12.489999771118164}}
|
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.
|
BIOL
|
{'date': '2022-07-11', 'ticker': 'BIOL', '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': 430.0, 'high': 449.0, 'open': 438.0, 'close': 444.0, 'ema_50': 504.3315522855033, 'rsi_14': 47.84172661870503, 'target': 440.0, 'volume': 152.0, 'ema_200': 863.1247392745606, 'adj_close': 444.0, 'rsi_lag_1': 53.60824742268042, 'rsi_lag_2': 52.296819787985875, 'rsi_lag_3': 51.95729537366548, 'rsi_lag_4': 56.884057971014485, 'rsi_lag_5': 49.68354430379747, 'macd_lag_1': -7.941927810847972, 'macd_lag_2': -8.85229666096194, 'macd_lag_3': -8.8673158600389, 'macd_lag_4': -8.452052134351106, 'macd_lag_5': -9.428176584337166, 'macd_12_26_9': -7.935890360635085, 'macds_12_26_9': -10.653208967898733}, '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': 440.0, '2022-07-13': 430.0, '2022-07-14': 427.0, '2022-07-15': 415.0, '2022-07-18': 417.0, '2022-07-19': 435.0, '2022-07-20': 447.0, '2022-07-21': 456.0, '2022-07-22': 451.0, '2022-07-25': 427.0}, '1_month_later': {'2022-08-11': 553.0}, '3_months_later': {'2022-10-11': 220.0}, '6_months_later': {'2023-01-11': 43.0}, '12_months_later': {'2023-07-11': 9.0}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BIMI
|
{'date': '2022-07-11', 'ticker': 'BIMI', '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': 6.5, 'high': 6.800000190734863, 'open': 6.699999809265137, 'close': 6.599999904632568, 'ema_50': 7.145915206325877, 'rsi_14': 64.51613101701216, 'target': 6.900000095367432, 'volume': 15080.0, 'ema_200': 20.60381419624529, 'adj_close': 6.599999904632568, 'rsi_lag_1': 70.58823199420615, 'rsi_lag_2': 71.42857142857143, 'rsi_lag_3': 74.28572168155694, 'rsi_lag_4': 66.66667074219833, 'rsi_lag_5': 44.444444444444436, 'macd_lag_1': 0.15834437567579673, 'macd_lag_2': 0.14564494478962953, 'macd_lag_3': 0.1273173810797994, 'macd_lag_4': 0.09189099901571751, 'macd_lag_5': 0.035155648360201575, 'macd_12_26_9': 0.15851237755978698, 'macds_12_26_9': 0.03418417045915311}, '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': 6.900000095367432, '2022-07-13': 6.800000190734863, '2022-07-14': 6.199999809265137, '2022-07-15': 4.400000095367432, '2022-07-18': 4.599999904632568, '2022-07-19': 4.800000190734863, '2022-07-20': 4.900000095367432, '2022-07-21': 4.699999809265137, '2022-07-22': 4.5, '2022-07-25': 4.400000095367432}, '1_month_later': {'2022-08-11': 5.099999904632568}, '3_months_later': {'2022-10-11': 3.0}, '6_months_later': {'2023-01-11': 1.4500000476837158}, '12_months_later': {'2023-07-11': 1.7799999713897705}}
|
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.
|
BIS
|
{'date': '2022-07-11', 'ticker': 'BIS', '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': 23.39999961853028, 'high': 24.049999237060547, 'open': 23.40999984741211, 'close': 24.049999237060547, 'ema_50': 27.567255886022586, 'rsi_14': 21.351131006495933, 'target': 24.1200008392334, 'volume': 25400.0, 'ema_200': 25.091286212452918, 'adj_close': 23.674808502197266, 'rsi_lag_1': 12.060312172452683, 'rsi_lag_2': 20.450038153268196, 'rsi_lag_3': 19.9098016063017, 'rsi_lag_4': 19.833125418533072, 'rsi_lag_5': 33.664531091216915, 'macd_lag_1': -1.4838854867816877, 'macd_lag_2': -1.3338192169355736, 'macd_lag_3': -1.1462972154769844, 'macd_lag_4': -1.0094048182491946, 'macd_lag_5': -0.8311981505760784, 'macd_12_26_9': -1.5143490359528897, 'macds_12_26_9': -1.008522782355455}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 24.1200008392334, '2022-07-13': 24.1200008392334, '2022-07-14': 24.82999992370605, '2022-07-15': 24.040000915527344, '2022-07-18': 25.13999938964844, '2022-07-19': 23.690000534057617, '2022-07-20': 23.709999084472656, '2022-07-21': 23.59000015258789, '2022-07-22': 24.700000762939453, '2022-07-25': 24.559999465942383}, '1_month_later': {'2022-08-11': 21.38999938964844}, '3_months_later': {'2022-10-11': 24.46999931335449}, '6_months_later': {'2023-01-11': 18.950000762939453}, '12_months_later': {'2023-07-11': 21.100000381469727}}
|
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.
|
AWRE
|
{'date': '2022-07-11', 'ticker': 'AWRE', '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': 2.289999961853028, 'high': 2.309999942779541, 'open': 2.309999942779541, 'close': 2.299999952316284, 'ema_50': 2.52259724333299, 'rsi_14': 59.99999318803876, 'target': 2.2699999809265137, 'volume': 2300.0, 'ema_200': 2.98043997053794, 'adj_close': 2.299999952316284, 'rsi_lag_1': 48.809524485313716, 'rsi_lag_2': 47.126425441841725, 'rsi_lag_3': 44.5783194825571, 'rsi_lag_4': 43.02325162325554, 'rsi_lag_5': 37.00000357627784, 'macd_lag_1': -0.0823623276528207, 'macd_lag_2': -0.08588390044014327, 'macd_lag_3': -0.09523857260165736, 'macd_lag_4': -0.09662962002545372, 'macd_lag_5': -0.09903594232215562, 'macd_12_26_9': -0.07786693859271887, 'macds_12_26_9': -0.09301055925770113}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 2.2699999809265137, '2022-07-13': 2.289999961853028, '2022-07-14': 2.289999961853028, '2022-07-15': 2.3399999141693115, '2022-07-18': 2.319999933242798, '2022-07-19': 2.319999933242798, '2022-07-20': 2.319999933242798, '2022-07-21': 2.380000114440918, '2022-07-22': 2.319999933242798, '2022-07-25': 2.2799999713897705}, '1_month_later': {'2022-08-11': 2.240000009536743}, '3_months_later': {'2022-10-11': 1.6299999952316284}, '6_months_later': {'2023-01-11': 1.7000000476837158}, '12_months_later': {'2023-07-11': 1.5700000524520874}}
|
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.
|
BH
|
{'date': '2022-07-11', 'ticker': 'BH', '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': 121.4000015258789, 'high': 123.2300033569336, 'open': 122.44000244140624, 'close': 122.0, 'ema_50': 129.39628288107875, 'rsi_14': 52.037489103089435, 'target': 120.30999755859376, 'volume': 2200.0, 'ema_200': 137.99117946304523, 'adj_close': 122.0, 'rsi_lag_1': 40.668791557712936, 'rsi_lag_2': 36.536259485437306, 'rsi_lag_3': 37.963993796073254, 'rsi_lag_4': 39.221380225096055, 'rsi_lag_5': 34.35547942950733, 'macd_lag_1': -2.6368099117544688, 'macd_lag_2': -2.7540168359330437, 'macd_lag_3': -2.856429823525289, 'macd_lag_4': -2.756216086292312, 'macd_lag_5': -3.021962172475952, 'macd_12_26_9': -2.565986091566529, 'macds_12_26_9': -2.798203160570364}, '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': 120.30999755859376, '2022-07-13': 119.98999786376952, '2022-07-14': 119.56999969482422, '2022-07-15': 121.27999877929688, '2022-07-18': 120.5199966430664, '2022-07-19': 121.11000061035156, '2022-07-20': 120.9499969482422, '2022-07-21': 120.5, '2022-07-22': 121.08999633789062, '2022-07-25': 121.4000015258789}, '1_month_later': {'2022-08-11': 129.99000549316406}, '3_months_later': {'2022-10-11': 125.12000274658205}, '6_months_later': {'2023-01-11': 146.14999389648438}, '12_months_later': {'2023-07-11': 202.02999877929688}}
|
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.
|
BGX
|
{'date': '2022-07-11', 'ticker': 'BGX', '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': 11.43000030517578, 'high': 11.600000381469728, 'open': 11.520000457763672, 'close': 11.479999542236328, 'ema_50': 12.08342869318384, 'rsi_14': 43.434329811798385, 'target': 11.649999618530272, 'volume': 35800.0, 'ema_200': 13.319651703612605, 'adj_close': 9.748041152954102, 'rsi_lag_1': 49.0908870223819, 'rsi_lag_2': 34.4370697805727, 'rsi_lag_3': 33.99997329710216, 'rsi_lag_4': 38.99368654909863, 'rsi_lag_5': 35.42856831452772, 'macd_lag_1': -0.1961903325614145, 'macd_lag_2': -0.20254069885014658, 'macd_lag_3': -0.2056637157862955, 'macd_lag_4': -0.20462193856469568, 'macd_lag_5': -0.2023523431404879, 'macd_12_26_9': -0.18897918709233963, 'macds_12_26_9': -0.20365938012166582}, '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': 11.649999618530272, '2022-07-13': 11.670000076293944, '2022-07-14': 11.550000190734863, '2022-07-15': 11.579999923706056, '2022-07-18': 11.449999809265137, '2022-07-19': 11.56999969482422, '2022-07-20': 11.649999618530272, '2022-07-21': 11.760000228881836, '2022-07-22': 11.710000038146973, '2022-07-25': 11.710000038146973}, '1_month_later': {'2022-08-11': 12.630000114440918}, '3_months_later': {'2022-10-11': 10.8100004196167}, '6_months_later': {'2023-01-11': 11.1899995803833}, '12_months_later': {'2023-07-11': 11.470000267028809}}
|
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.
|
BDN
|
{'date': '2022-07-11', 'ticker': 'BDN', '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': 8.979999542236328, 'high': 9.25, 'open': 9.199999809265137, 'close': 9.050000190734863, 'ema_50': 10.507707073057894, 'rsi_14': 35.06489646105439, 'target': 9.220000267028809, 'volume': 990100.0, 'ema_200': 12.202242821855092, 'adj_close': 7.604300022125244, 'rsi_lag_1': 48.74996870749435, 'rsi_lag_2': 42.3912925170068, 'rsi_lag_3': 46.73365726392548, 'rsi_lag_4': 48.947366571817646, 'rsi_lag_5': 37.65178700359615, 'macd_lag_1': -0.35100472704930574, 'macd_lag_2': -0.3411793917707193, 'macd_lag_3': -0.3460761089595952, 'macd_lag_4': -0.3401650247500623, 'macd_lag_5': -0.3490542989739538, 'macd_12_26_9': -0.36906150806199634, 'macds_12_26_9': -0.37061438369545174}, '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': 9.06999969482422, '2022-07-14': 8.970000267028809, '2022-07-15': 9.130000114440918, '2022-07-18': 9.140000343322754, '2022-07-19': 9.510000228881836, '2022-07-20': 9.510000228881836, '2022-07-21': 9.31999969482422, '2022-07-22': 9.420000076293944, '2022-07-25': 9.529999732971191}, '1_month_later': {'2022-08-11': 8.8100004196167}, '3_months_later': {'2022-10-11': 6.159999847412109}, '6_months_later': {'2023-01-11': 6.340000152587891}, '12_months_later': {'2023-07-11': 4.710000038146973}}
|
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.
|
BDRY
|
{'date': '2022-07-11', 'ticker': 'BDRY', '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': 14.920000076293944, 'high': 15.197999954223633, 'open': 15.020000457763672, 'close': 15.020000457763672, 'ema_50': 19.572961593709138, 'rsi_14': 26.46519620283786, 'target': 13.859999656677246, 'volume': 159300.0, 'ema_200': 22.614535191315788, 'adj_close': 15.020000457763672, 'rsi_lag_1': 30.215817774728833, 'rsi_lag_2': 32.89473566274914, 'rsi_lag_3': 25.374622138607123, 'rsi_lag_4': 33.46938441863119, 'rsi_lag_5': 35.268814205116314, 'macd_lag_1': -1.5384765963372118, 'macd_lag_2': -1.5265575439207666, 'macd_lag_3': -1.5522672865454972, 'macd_lag_4': -1.4647583754436084, 'macd_lag_5': -1.4284868603922867, 'macd_12_26_9': -1.5518208104217557, 'macds_12_26_9': -1.471235111417521}, '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': 13.859999656677246, '2022-07-13': 14.479999542236328, '2022-07-14': 15.18000030517578, '2022-07-15': 15.989999771118164, '2022-07-18': 15.279999732971191, '2022-07-19': 14.8100004196167, '2022-07-20': 14.539999961853027, '2022-07-21': 14.649999618530272, '2022-07-22': 14.600000381469728, '2022-07-25': 13.279999732971191}, '1_month_later': {'2022-08-11': 10.890000343322754}, '3_months_later': {'2022-10-11': 9.34000015258789}, '6_months_later': {'2023-01-11': 8.979999542236328}, '12_months_later': {'2023-07-11': 5.21999979019165}}
|
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.
|
BDTX
|
{'date': '2022-07-11', 'ticker': 'BDTX', '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': 2.8499999046325684, 'high': 3.049999952316284, 'open': 2.990000009536743, 'close': 2.990000009536743, 'ema_50': 2.390503283531495, 'rsi_14': 98.03921751955855, 'target': 3.0899999141693115, 'volume': 224800.0, 'ema_200': 5.404247122365133, 'adj_close': 2.990000009536743, 'rsi_lag_1': 96.11650845008711, 'rsi_lag_2': 88.46154904224505, 'rsi_lag_3': 87.09678411732047, 'rsi_lag_4': 80.76921783725612, 'rsi_lag_5': 80.76921783725612, 'macd_lag_1': 0.21288790479914343, 'macd_lag_2': 0.18871144309640897, 'macd_lag_3': 0.1622358587355106, 'macd_lag_4': 0.13830178573826402, 'macd_lag_5': 0.1240688224808637, 'macd_12_26_9': 0.23020122412115684, 'macds_12_26_9': 0.15156081566999413}, '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': 3.0899999141693115, '2022-07-13': 3.140000104904175, '2022-07-14': 3.2799999713897705, '2022-07-15': 3.140000104904175, '2022-07-18': 3.109999895095825, '2022-07-19': 3.289999961853028, '2022-07-20': 3.369999885559082, '2022-07-21': 3.539999961853028, '2022-07-22': 3.4100000858306885, '2022-07-25': 3.4100000858306885}, '1_month_later': {'2022-08-11': 3.950000047683716}, '3_months_later': {'2022-10-11': 1.3600000143051147}, '6_months_later': {'2023-01-11': 2.180000066757202}, '12_months_later': {'2023-07-11': 4.989999771118164}}
|
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.
|
BE
|
{'date': '2022-07-11', 'ticker': 'BE', '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': 17.709999084472656, 'high': 18.89999961853028, 'open': 18.729999542236328, 'close': 17.8700008392334, 'ema_50': 17.720196996389916, 'rsi_14': 55.72917339288499, 'target': 17.489999771118164, 'volume': 1801400.0, 'ema_200': 20.021364184992493, 'adj_close': 17.8700008392334, 'rsi_lag_1': 68.93839439764542, 'rsi_lag_2': 61.19017545383416, 'rsi_lag_3': 60.73299095931882, 'rsi_lag_4': 60.47431406136661, 'rsi_lag_5': 49.02410967759454, 'macd_lag_1': 0.18393768595425186, 'macd_lag_2': 0.06145405508955548, 'macd_lag_3': -0.04180996248700097, 'macd_lag_4': -0.06304062596211679, 'macd_lag_5': -0.08005806633830659, 'macd_12_26_9': 0.19563934385642412, 'macds_12_26_9': 0.05034096201332257}, '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': 17.489999771118164, '2022-07-13': 17.610000610351562, '2022-07-14': 17.079999923706055, '2022-07-15': 16.049999237060547, '2022-07-18': 16.809999465942383, '2022-07-19': 17.450000762939453, '2022-07-20': 18.049999237060547, '2022-07-21': 17.6200008392334, '2022-07-22': 16.520000457763672, '2022-07-25': 17.059999465942383}, '1_month_later': {'2022-08-11': 29.200000762939453}, '3_months_later': {'2022-10-11': 17.489999771118164}, '6_months_later': {'2023-01-11': 23.049999237060547}, '12_months_later': {'2023-07-11': 17.670000076293945}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BEAM
|
{'date': '2022-07-11', 'ticker': 'BEAM', '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': 49.900001525878906, 'high': 52.630001068115234, 'open': 51.66999816894531, 'close': 50.45000076293945, 'ema_50': 41.66501047540786, 'rsi_14': 75.79059155437031, 'target': 52.880001068115234, 'volume': 1516300.0, 'ema_200': 58.12754843751034, 'adj_close': 50.45000076293945, 'rsi_lag_1': 82.49014807895372, 'rsi_lag_2': 82.45556561060974, 'rsi_lag_3': 79.00748899217837, 'rsi_lag_4': 82.69760787096811, 'rsi_lag_5': 65.28473808059005, 'macd_lag_1': 3.1415458888108105, 'macd_lag_2': 2.581911328186365, 'macd_lag_3': 1.8646772488428525, 'macd_lag_4': 1.5442119376915002, 'macd_lag_5': 1.0180294631103592, 'macd_12_26_9': 3.419760672217805, 'macds_12_26_9': 1.9846639554540704}, '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': 52.880001068115234, '2022-07-13': 55.59000015258789, '2022-07-14': 56.119998931884766, '2022-07-15': 57.619998931884766, '2022-07-18': 58.0099983215332, '2022-07-19': 64.61000061035156, '2022-07-20': 67.91000366210938, '2022-07-21': 68.4800033569336, '2022-07-22': 62.880001068115234, '2022-07-25': 63.970001220703125}, '1_month_later': {'2022-08-11': 66.08999633789062}, '3_months_later': {'2022-10-11': 46.56999969482422}, '6_months_later': {'2023-01-11': 40.880001068115234}, '12_months_later': {'2023-07-11': 31.959999084472656}}
|
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.
|
BEAT
|
{'date': '2022-07-11', 'ticker': 'BEAT', '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': 1.2999999523162842, 'high': 1.3899999856948853, 'open': 1.3899999856948853, 'close': 1.3250000476837158, 'ema_50': 1.5095696474560412, 'rsi_14': 44.96644939647317, 'target': 1.3600000143051147, 'volume': 30700.0, 'ema_200': 10.272885677206746, 'adj_close': 1.3250000476837158, 'rsi_lag_1': 58.29875564852669, 'rsi_lag_2': 54.32901075179478, 'rsi_lag_3': 52.26244050999982, 'rsi_lag_4': 46.52778237689991, 'rsi_lag_5': 35.78154577815134, 'macd_lag_1': -0.03562308579887774, 'macd_lag_2': -0.041209471621634686, 'macd_lag_3': -0.04468577830668008, 'macd_lag_4': -0.04440009926478661, 'macd_lag_5': -0.04033510675686913, 'macd_12_26_9': -0.03443006686416772, 'macds_12_26_9': -0.037416415643448574}, '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': 1.3600000143051147, '2022-07-13': 1.3600000143051147, '2022-07-14': 1.4199999570846558, '2022-07-15': 1.3600000143051147, '2022-07-18': 1.309999942779541, '2022-07-19': 1.4049999713897705, '2022-07-20': 1.4800000190734863, '2022-07-21': 1.5099999904632568, '2022-07-22': 1.5, '2022-07-25': 1.5}, '1_month_later': {'2022-08-11': 1.5499999523162842}, '3_months_later': {'2022-10-11': 5.190000057220459}, '6_months_later': {'2023-01-11': 4.010000228881836}, '12_months_later': {'2023-07-11': 3.25}}
|
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.
|
BECN
|
{'date': '2022-07-11', 'ticker': 'BECN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 54.68000030517578, 'high': 55.90999984741211, 'open': 55.060001373291016, 'close': 54.95000076293945, 'ema_50': 56.47709560441419, 'rsi_14': 67.53343811942781, 'target': 55.15999984741211, 'volume': 281900.0, 'ema_200': 56.06529122747771, 'adj_close': 54.95000076293945, 'rsi_lag_1': 66.06103736462124, 'rsi_lag_2': 45.66209374012335, 'rsi_lag_3': 38.89199605337929, 'rsi_lag_4': 38.29201200357972, 'rsi_lag_5': 28.827588311557108, 'macd_lag_1': -1.4577804888410313, 'macd_lag_2': -1.7671665209659224, 'macd_lag_3': -2.1271877097641436, 'macd_lag_4': -2.3470375562784156, 'macd_lag_5': -2.6036892289631766, 'macd_12_26_9': -1.2235002918351015, 'macds_12_26_9': -1.9348753362586384}, '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': 55.15999984741211, '2022-07-13': 55.36000061035156, '2022-07-14': 55.13999938964844, '2022-07-15': 54.900001525878906, '2022-07-18': 55.209999084472656, '2022-07-19': 56.09999847412109, '2022-07-20': 57.060001373291016, '2022-07-21': 57.470001220703125, '2022-07-22': 57.15999984741211, '2022-07-25': 56.91999816894531}, '1_month_later': {'2022-08-11': 59.13999938964844}, '3_months_later': {'2022-10-11': 58.31999969482422}, '6_months_later': {'2023-01-11': 54.25}, '12_months_later': {'2023-07-11': 83.37000274658203}}
|
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.
|
BELFA
|
{'date': '2022-07-11', 'ticker': 'BELFA', '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': 22.86000061035156, 'high': 23.34000015258789, 'open': 23.21999931335449, 'close': 22.86000061035156, 'ema_50': 21.568856629278667, 'rsi_14': 63.36897795738356, 'target': 22.81999969482422, 'volume': 1000.0, 'ema_200': 18.899222842712557, 'adj_close': 22.623254776000977, 'rsi_lag_1': 73.55622818363173, 'rsi_lag_2': 44.94381902073862, 'rsi_lag_3': 62.8865817209376, 'rsi_lag_4': 50.0, 'rsi_lag_5': 45.56964470240555, 'macd_lag_1': 0.15509750334092232, 'macd_lag_2': 0.020118937438077467, 'macd_lag_3': 0.012490105135853469, 'macd_lag_4': -0.02390148383620172, 'macd_lag_5': -0.0190936358138174, 'macd_12_26_9': 0.21919640821247555, 'macds_12_26_9': 0.07194050863175978}, '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': 22.81999969482422, '2022-07-13': 23.100000381469727, '2022-07-14': 22.81999969482422, '2022-07-15': 22.93000030517578, '2022-07-18': 24.059999465942383, '2022-07-19': 24.239999771118164, '2022-07-20': 23.989999771118164, '2022-07-21': 23.690000534057617, '2022-07-22': 23.96999931335449, '2022-07-25': 24.61000061035156}, '1_month_later': {'2022-08-11': 29.3700008392334}, '3_months_later': {'2022-10-11': 29.0}, '6_months_later': {'2023-01-11': 33.400001525878906}, '12_months_later': {'2023-07-11': 55.9900016784668}}
|
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.
|
BEP
|
{'date': '2022-07-11', 'ticker': 'BEP', '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': 34.56999969482422, 'high': 35.2599983215332, 'open': 35.189998626708984, 'close': 34.65999984741211, 'ema_50': 35.36548203602022, 'rsi_14': 61.46789632976922, 'target': 34.540000915527344, 'volume': 150400.0, 'ema_200': 36.51555615857494, 'adj_close': 32.32910919189453, 'rsi_lag_1': 68.71165309158481, 'rsi_lag_2': 52.18801219467711, 'rsi_lag_3': 53.02548863699178, 'rsi_lag_4': 50.91742343333406, 'rsi_lag_5': 43.70078937250693, 'macd_lag_1': -0.125826285364397, 'macd_lag_2': -0.17301317812147232, 'macd_lag_3': -0.2164697735218013, 'macd_lag_4': -0.22398768022571858, 'macd_lag_5': -0.241524934082058, 'macd_12_26_9': -0.13289264093540964, 'macds_12_26_9': -0.22375304439601643}, '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': 34.540000915527344, '2022-07-13': 34.619998931884766, '2022-07-14': 34.54999923706055, '2022-07-15': 35.0, '2022-07-18': 35.79999923706055, '2022-07-19': 36.06999969482422, '2022-07-20': 36.97999954223633, '2022-07-21': 36.86000061035156, '2022-07-22': 36.77000045776367, '2022-07-25': 36.86000061035156}, '1_month_later': {'2022-08-11': 39.81999969482422}, '3_months_later': {'2022-10-11': 29.06999969482422}, '6_months_later': {'2023-01-11': 27.56999969482422}, '12_months_later': {'2023-07-11': 28.88999938964844}}
|
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.
|
BERY
|
{'date': '2022-07-11', 'ticker': 'BERY', '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': 52.20000076293945, 'high': 52.88999938964844, 'open': 52.470001220703125, 'close': 52.560001373291016, 'ema_50': 55.926939825308814, 'rsi_14': 52.702714458176416, 'target': 53.040000915527344, 'volume': 440800.0, 'ema_200': 59.958475522612815, 'adj_close': 51.47591400146485, 'rsi_lag_1': 57.02874275032796, 'rsi_lag_2': 49.652300277586775, 'rsi_lag_3': 50.94850521264349, 'rsi_lag_4': 50.402141139177886, 'rsi_lag_5': 44.94919703242538, 'macd_lag_1': -0.6249359538978823, 'macd_lag_2': -0.49061167691984053, 'macd_lag_3': -0.48410186031039615, 'macd_lag_4': -0.4646786650161303, 'macd_lag_5': -0.441273895014902, 'macd_12_26_9': -0.7406036454122287, 'macds_12_26_9': -0.5808046194907258}, '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': 53.040000915527344, '2022-07-13': 52.900001525878906, '2022-07-14': 52.66999816894531, '2022-07-15': 52.709999084472656, '2022-07-18': 53.16999816894531, '2022-07-19': 54.86000061035156, '2022-07-20': 55.7400016784668, '2022-07-21': 56.84999847412109, '2022-07-22': 56.560001373291016, '2022-07-25': 56.56999969482422}, '1_month_later': {'2022-08-11': 58.77000045776367}, '3_months_later': {'2022-10-11': 46.7599983215332}, '6_months_later': {'2023-01-11': 61.790000915527344}, '12_months_later': {'2023-07-11': 65.77999877929688}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BEST
|
{'date': '2022-07-11', 'ticker': 'BEST', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.71999979019165, 'high': 5.119999885559082, 'open': 5.119999885559082, 'close': 4.760000228881836, 'ema_50': 6.1027205447737405, 'rsi_14': 49.31506938794707, 'target': 5.0, 'volume': 32425.0, 'ema_200': 14.72030183922847, 'adj_close': 4.760000228881836, 'rsi_lag_1': 66.19717813252508, 'rsi_lag_2': 59.999996594021106, 'rsi_lag_3': 52.54236979924353, 'rsi_lag_4': 66.81749725980501, 'rsi_lag_5': 57.08214532117106, 'macd_lag_1': -0.15011165326233744, 'macd_lag_2': -0.1995253893980502, 'macd_lag_3': -0.2393294323623376, 'macd_lag_4': -0.24185270417630989, 'macd_lag_5': -0.26599184793175734, 'macd_12_26_9': -0.15116799347764243, 'macds_12_26_9': -0.26300241079688447}, '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': 5.0, '2022-07-13': 5.199999809265137, '2022-07-14': 5.239999771118164, '2022-07-15': 5.199999809265137, '2022-07-18': 5.559999942779541, '2022-07-19': 6.0, '2022-07-20': 5.760000228881836, '2022-07-21': 5.360000133514404, '2022-07-22': 4.960000038146973, '2022-07-25': 5.159999847412109}, '1_month_later': {'2022-08-11': 6.0}, '3_months_later': {'2022-10-11': 2.635999917984009}, '6_months_later': {'2023-01-11': 3.200000047683716}, '12_months_later': {'2023-07-11': 2.009999990463257}}
|
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.
|
BETZ
|
{'date': '2022-07-11', 'ticker': 'BETZ', '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': 13.859999656677246, 'high': 14.229999542236328, 'open': 14.220000267028809, 'close': 13.880000114440918, 'ema_50': 15.935751590164761, 'rsi_14': 42.4242400358771, 'target': 13.949999809265137, 'volume': 88200.0, 'ema_200': 20.588357506713752, 'adj_close': 13.7954740524292, 'rsi_lag_1': 55.55555237345992, 'rsi_lag_2': 46.36591592513923, 'rsi_lag_3': 51.02974983185221, 'rsi_lag_4': 52.470588129696964, 'rsi_lag_5': 41.29630110391321, 'macd_lag_1': -0.44376645745751375, 'macd_lag_2': -0.4545031357348712, 'macd_lag_3': -0.47686887229538755, 'macd_lag_4': -0.48524303534707514, 'macd_lag_5': -0.5031279153467487, 'macd_12_26_9': -0.47895830369927417, 'macds_12_26_9': -0.48469592694006225}, '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': 13.949999809265137, '2022-07-13': 13.989999771118164, '2022-07-14': 13.770000457763672, '2022-07-15': 14.170000076293944, '2022-07-18': 14.359999656677246, '2022-07-19': 14.770000457763672, '2022-07-20': 15.06999969482422, '2022-07-21': 15.300000190734863, '2022-07-22': 15.270000457763672, '2022-07-25': 15.25}, '1_month_later': {'2022-08-11': 17.06999969482422}, '3_months_later': {'2022-10-11': 13.149999618530272}, '6_months_later': {'2023-01-11': 15.520000457763672}, '12_months_later': {'2023-07-11': 18.13999938964844}}
|
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.
|
BFC
|
{'date': '2022-07-11', 'ticker': 'BFC', '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': 75.9000015258789, 'high': 76.58000183105469, 'open': 76.13999938964844, 'close': 76.0, 'ema_50': 73.57717431175747, 'rsi_14': 58.904085727822526, 'target': 76.43000030517578, 'volume': 8800.0, 'ema_200': 71.69654928461769, 'adj_close': 74.50395202636719, 'rsi_lag_1': 68.7848869950393, 'rsi_lag_2': 62.73884359850561, 'rsi_lag_3': 68.20808203398562, 'rsi_lag_4': 67.76082358044623, 'rsi_lag_5': 66.12149803427343, 'macd_lag_1': 1.3340609835063475, 'macd_lag_2': 1.3423903342517747, 'macd_lag_3': 1.3212774755984924, 'macd_lag_4': 1.239475000816313, 'macd_lag_5': 1.1618368179347272, 'macd_12_26_9': 1.2381441062016734, 'macds_12_26_9': 1.1592778205006273}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 76.43000030517578, '2022-07-13': 75.5999984741211, '2022-07-14': 75.93000030517578, '2022-07-15': 77.08000183105469, '2022-07-18': 75.0999984741211, '2022-07-19': 77.12999725341797, '2022-07-20': 76.94000244140625, '2022-07-21': 76.20999908447266, '2022-07-22': 75.2300033569336, '2022-07-25': 75.1500015258789}, '1_month_later': {'2022-08-11': 76.77999877929688}, '3_months_later': {'2022-10-11': 78.01000213623047}, '6_months_later': {'2023-01-11': 86.62999725341797}, '12_months_later': {'2023-07-11': 81.41999816894531}}
|
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.
|
BFIN
|
{'date': '2022-07-11', 'ticker': 'BFIN', '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': 9.34000015258789, 'high': 9.550000190734863, 'open': 9.40999984741211, 'close': 9.359999656677246, 'ema_50': 9.70220050236277, 'rsi_14': 51.35125382436384, 'target': 9.31999969482422, 'volume': 19900.0, 'ema_200': 10.323634701636585, 'adj_close': 8.761414527893066, 'rsi_lag_1': 50.0, 'rsi_lag_2': 43.18185758997067, 'rsi_lag_3': 45.65216039208606, 'rsi_lag_4': 53.658638704485114, 'rsi_lag_5': 38.461496138518164, 'macd_lag_1': -0.09753951680537654, 'macd_lag_2': -0.10099409743525811, 'macd_lag_3': -0.10495259859903605, 'macd_lag_4': -0.1074602971641152, 'macd_lag_5': -0.11520710718940919, 'macd_12_26_9': -0.09451911415082215, 'macds_12_26_9': -0.11029408717309169}, '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': 9.31999969482422, '2022-07-13': 9.300000190734863, '2022-07-14': 9.279999732971191, '2022-07-15': 9.3100004196167, '2022-07-18': 9.329999923706056, '2022-07-19': 9.380000114440918, '2022-07-20': 9.369999885559082, '2022-07-21': 9.300000190734863, '2022-07-22': 9.279999732971191, '2022-07-25': 9.300000190734863}, '1_month_later': {'2022-08-11': 10.010000228881836}, '3_months_later': {'2022-10-11': 9.529999732971191}, '6_months_later': {'2023-01-11': 10.350000381469728}, '12_months_later': {'2023-07-11': 8.210000038146973}}
|
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.
|
BGSF
|
{'date': '2022-07-11', 'ticker': 'BGSF', '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': 11.920000076293944, 'high': 12.229999542236328, 'open': 12.199999809265137, 'close': 12.18000030517578, 'ema_50': 12.50893837488138, 'rsi_14': 54.29864897754161, 'target': 11.979999542236328, 'volume': 46400.0, 'ema_200': 12.983660709285141, 'adj_close': 11.252820014953612, 'rsi_lag_1': 52.13270249283846, 'rsi_lag_2': 48.40181415572733, 'rsi_lag_3': 54.71696840059649, 'rsi_lag_4': 49.36168865795132, 'rsi_lag_5': 45.669292521139475, 'macd_lag_1': -0.09067474333544112, 'macd_lag_2': -0.07354469388555529, 'macd_lag_3': -0.04653805728796634, 'macd_lag_4': -0.02869994987460167, 'macd_lag_5': -0.008569102680434426, 'macd_12_26_9': -0.09428741437684529, 'macds_12_26_9': -0.05453231340728447}, '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': 11.979999542236328, '2022-07-13': 11.979999542236328, '2022-07-14': 11.920000076293944, '2022-07-15': 12.010000228881836, '2022-07-18': 12.100000381469728, '2022-07-19': 12.1899995803833, '2022-07-20': 12.460000038146973, '2022-07-21': 12.9399995803833, '2022-07-22': 12.760000228881836, '2022-07-25': 12.949999809265137}, '1_month_later': {'2022-08-11': 13.170000076293944}, '3_months_later': {'2022-10-11': 10.5}, '6_months_later': {'2023-01-11': 15.710000038146973}, '12_months_later': {'2023-07-11': 9.579999923706056}}
|
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.
|
BGS
|
{'date': '2022-07-11', 'ticker': 'BGS', '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': 22.920000076293945, 'high': 23.75, 'open': 23.350000381469727, 'close': 23.059999465942383, 'ema_50': 24.192871823712256, 'rsi_14': 46.46194457382216, 'target': 23.799999237060547, 'volume': 550900.0, 'ema_200': 27.257093604321465, 'adj_close': 20.72592544555664, 'rsi_lag_1': 53.42298029111557, 'rsi_lag_2': 58.751533816808575, 'rsi_lag_3': 60.991104047214996, 'rsi_lag_4': 62.331290324920936, 'rsi_lag_5': 61.1311702789618, 'macd_lag_1': 0.07838029922653789, 'macd_lag_2': 0.13969905636307445, 'macd_lag_3': 0.17113204754801714, 'macd_lag_4': 0.17821740419538656, 'macd_lag_5': 0.18568684774133715, 'macd_12_26_9': 0.013490838338338307, 'macds_12_26_9': 0.07084697983736932}, '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': 23.799999237060547, '2022-07-13': 23.82999992370605, '2022-07-14': 23.709999084472656, '2022-07-15': 23.5, '2022-07-18': 23.809999465942383, '2022-07-19': 24.059999465942383, '2022-07-20': 23.989999771118164, '2022-07-21': 23.520000457763672, '2022-07-22': 23.89999961853028, '2022-07-25': 24.11000061035156}, '1_month_later': {'2022-08-11': 23.280000686645508}, '3_months_later': {'2022-10-11': 15.460000038146973}, '6_months_later': {'2023-01-11': 13.6899995803833}, '12_months_later': {'2023-07-11': 13.369999885559082}}
|
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.
|
BGR
|
{'date': '2022-07-11', 'ticker': 'BGR', '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': 10.449999809265137, 'high': 10.619999885559082, 'open': 10.600000381469728, 'close': 10.619999885559082, 'ema_50': 11.589824990495577, 'rsi_14': 47.50655432164711, 'target': 10.390000343322754, 'volume': 74900.0, 'ema_200': 10.925333699839971, 'adj_close': 9.70617389678955, 'rsi_lag_1': 41.80138329060884, 'rsi_lag_2': 34.939751883699174, 'rsi_lag_3': 28.865980597735728, 'rsi_lag_4': 29.045642825132305, 'rsi_lag_5': 27.450981125470676, 'macd_lag_1': -0.4605774355204826, 'macd_lag_2': -0.47105236732889644, 'macd_lag_3': -0.4704431798288198, 'macd_lag_4': -0.4282047249145595, 'macd_lag_5': -0.3975919334866358, 'macd_12_26_9': -0.4519081926711124, 'macds_12_26_9': -0.40554742498390467}, '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': 10.390000343322754, '2022-07-13': 10.449999809265137, '2022-07-14': 10.15999984741211, '2022-07-15': 10.300000190734863, '2022-07-18': 10.4399995803833, '2022-07-19': 10.720000267028809, '2022-07-20': 10.869999885559082, '2022-07-21': 10.739999771118164, '2022-07-22': 10.710000038146973, '2022-07-25': 10.989999771118164}, '1_month_later': {'2022-08-11': 11.649999618530272}, '3_months_later': {'2022-10-11': 11.640000343322754}, '6_months_later': {'2023-01-11': 12.630000114440918}, '12_months_later': {'2023-07-11': 12.140000343322754}}
|
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.
|
BGNE
|
{'date': '2022-07-11', 'ticker': 'BGNE', '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': 173.61000061035156, 'high': 182.3999938964844, 'open': 180.57000732421875, 'close': 177.02000427246094, 'ema_50': 161.41087883200592, 'rsi_14': 66.89759375308799, 'target': 178.66000366210938, 'volume': 251000.0, 'ema_200': 214.72251955858482, 'adj_close': 177.02000427246094, 'rsi_lag_1': 72.39244336734363, 'rsi_lag_2': 72.22177083582714, 'rsi_lag_3': 70.88942175197619, 'rsi_lag_4': 80.3709968064277, 'rsi_lag_5': 60.22035419923302, 'macd_lag_1': 10.991581358791649, 'macd_lag_2': 10.298926043979833, 'macd_lag_3': 8.993189067960486, 'macd_lag_4': 8.250620276088455, 'macd_lag_5': 5.8154060143673405, 'macd_12_26_9': 10.47407096551072, 'macds_12_26_9': 7.848963105447065}, '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': 178.66000366210938, '2022-07-13': 169.74000549316406, '2022-07-14': 175.92999267578125, '2022-07-15': 177.14999389648438, '2022-07-18': 172.74000549316406, '2022-07-19': 178.36000061035156, '2022-07-20': 186.0, '2022-07-21': 188.52999877929688, '2022-07-22': 180.57000732421875, '2022-07-25': 182.58999633789065}, '1_month_later': {'2022-08-11': 196.63999938964844}, '3_months_later': {'2022-10-11': 125.51000213623048}, '6_months_later': {'2023-01-11': 254.3699951171875}, '12_months_later': {'2023-07-11': 188.0599975585937}}
|
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.
|
BGI
|
{'date': '2022-07-11', 'ticker': 'BGI', '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': 5.130000114440918, 'high': 5.190000057220459, 'open': 5.190000057220459, 'close': 5.139999866485596, 'ema_50': 5.1548416459655755, 'rsi_14': 51.968492702701795, 'target': 5.130000114440918, 'volume': 29600.0, 'ema_200': 4.5767526114392965, 'adj_close': 5.139999866485596, 'rsi_lag_1': 55.725194729747976, 'rsi_lag_2': 56.39098067841383, 'rsi_lag_3': 56.39098067841383, 'rsi_lag_4': 55.55553985721733, 'rsi_lag_5': 58.394159059607766, 'macd_lag_1': 0.01970551594555392, 'macd_lag_2': 0.023087495315404105, 'macd_lag_3': 0.027068312688336427, 'macd_lag_4': 0.03175556231432086, 'macd_lag_5': 0.03422177993712161, 'macd_12_26_9': 0.014438073594769563, 'macds_12_26_9': 0.01937975032917207}, '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': 5.130000114440918, '2022-07-13': 5.059999942779541, '2022-07-14': 5.070000171661377, '2022-07-15': 5.039999961853027, '2022-07-18': 5.059999942779541, '2022-07-19': 5.050000190734863, '2022-07-20': 5.090000152587891, '2022-07-21': 5.070000171661377, '2022-07-22': 5.070000171661377, '2022-07-25': 5.159999847412109}, '1_month_later': {'2022-08-11': 5.099999904632568}, '3_months_later': {'2022-10-11': 5.190000057220459}, '6_months_later': {'2023-01-11': 7.539999961853027}, '12_months_later': {'2023-07-11': 5.110000133514404}}
|
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.
|
BGH
|
{'date': '2022-07-11', 'ticker': 'BGH', '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': 12.800000190734863, 'high': 12.9399995803833, 'open': 12.890000343322754, 'close': 12.859999656677246, 'ema_50': 13.734496621578897, 'rsi_14': 36.666634877542926, 'target': 12.90999984741211, 'volume': 49100.0, 'ema_200': 15.159743914608837, 'adj_close': 10.979753494262695, 'rsi_lag_1': 44.56519710995235, 'rsi_lag_2': 32.79998779296881, 'rsi_lag_3': 29.411783562508973, 'rsi_lag_4': 37.79527263415821, 'rsi_lag_5': 29.09092905763721, 'macd_lag_1': -0.27949595250702863, 'macd_lag_2': -0.289343380859421, 'macd_lag_3': -0.3038126858581087, 'macd_lag_4': -0.3086981321909317, 'macd_lag_5': -0.31553441499730717, 'macd_12_26_9': -0.2733819500635235, 'macds_12_26_9': -0.29868215615316707}, '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': 12.90999984741211, '2022-07-13': 12.859999656677246, '2022-07-14': 12.789999961853027, '2022-07-15': 12.81999969482422, '2022-07-18': 12.770000457763672, '2022-07-19': 12.949999809265137, '2022-07-20': 12.899999618530272, '2022-07-21': 13.079999923706056, '2022-07-22': 13.09000015258789, '2022-07-25': 13.18000030517578}, '1_month_later': {'2022-08-11': 14.15999984741211}, '3_months_later': {'2022-10-11': 12.170000076293944}, '6_months_later': {'2023-01-11': 13.34000015258789}, '12_months_later': {'2023-07-11': 13.34000015258789}}
|
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.
|
BGFV
|
{'date': '2022-07-11', 'ticker': 'BGFV', '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': 11.619999885559082, 'high': 12.140000343322754, 'open': 11.899999618530272, 'close': 11.699999809265137, 'ema_50': 12.630595369363817, 'rsi_14': 48.8612773075661, 'target': 11.6899995803833, 'volume': 308900.0, 'ema_200': 16.727608409023137, 'adj_close': 10.051657676696776, 'rsi_lag_1': 56.91383332371376, 'rsi_lag_2': 49.79339351859971, 'rsi_lag_3': 47.96574286852624, 'rsi_lag_4': 59.43600813829726, 'rsi_lag_5': 47.336063811741596, 'macd_lag_1': -0.30822363235088446, 'macd_lag_2': -0.3867757436991912, 'macd_lag_3': -0.43762912393023434, 'macd_lag_4': -0.4238801017384528, 'macd_lag_5': -0.4571839484661524, 'macd_12_26_9': -0.26869455260094455, 'macds_12_26_9': -0.39884756258922155}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 11.6899995803833, '2022-07-13': 11.960000038146973, '2022-07-14': 11.81999969482422, '2022-07-15': 12.020000457763672, '2022-07-18': 11.84000015258789, '2022-07-19': 12.15999984741211, '2022-07-20': 12.68000030517578, '2022-07-21': 12.619999885559082, '2022-07-22': 12.890000343322754, '2022-07-25': 12.649999618530272}, '1_month_later': {'2022-08-11': 12.630000114440918}, '3_months_later': {'2022-10-11': 10.640000343322754}, '6_months_later': {'2023-01-11': 9.710000038146973}, '12_months_later': {'2023-07-11': 9.5}}
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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.
|
BFST
|
{'date': '2022-07-11', 'ticker': 'BFST', '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': 21.190000534057617, 'high': 21.35300064086914, 'open': 21.26000022888184, 'close': 21.239999771118164, 'ema_50': 21.975938710600676, 'rsi_14': 47.64150137068135, 'target': 21.25, 'volume': 21200.0, 'ema_200': 23.74947738101752, 'adj_close': 20.46805191040039, 'rsi_lag_1': 57.635452243482916, 'rsi_lag_2': 56.79613493291415, 'rsi_lag_3': 73.92995502515943, 'rsi_lag_4': 79.55392126971364, 'rsi_lag_5': 63.17569983974399, 'macd_lag_1': -0.05521223391877328, 'macd_lag_2': -0.055855370198951704, 'macd_lag_3': -0.06604566123421662, 'macd_lag_4': -0.10049144407918575, 'macd_lag_5': -0.15521336226392535, 'macd_12_26_9': -0.07402217291386393, 'macds_12_26_9': -0.12077084622867432}, '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': 21.25, '2022-07-13': 20.799999237060547, '2022-07-14': 20.670000076293945, '2022-07-15': 21.5, '2022-07-18': 21.25, '2022-07-19': 21.450000762939453, '2022-07-20': 21.8799991607666, '2022-07-21': 22.36000061035156, '2022-07-22': 21.82999992370605, '2022-07-25': 22.030000686645508}, '1_month_later': {'2022-08-11': 24.34000015258789}, '3_months_later': {'2022-10-11': 22.049999237060547}, '6_months_later': {'2023-01-11': 21.5}, '12_months_later': {'2023-07-11': 15.100000381469728}}
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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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BFS
|
{'date': '2022-07-11', 'ticker': 'BFS', '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': 47.15999984741211, 'high': 47.72999954223633, 'open': 47.54999923706055, 'close': 47.70000076293945, 'ema_50': 47.526664887955874, 'rsi_14': 73.48560813004373, 'target': 47.459999084472656, 'volume': 51700.0, 'ema_200': 47.867806749339316, 'adj_close': 43.61386489868164, 'rsi_lag_1': 75.28197042102587, 'rsi_lag_2': 65.46574027796353, 'rsi_lag_3': 69.34308263049105, 'rsi_lag_4': 75.86513631881817, 'rsi_lag_5': 61.86046126513162, 'macd_lag_1': 0.1622949054139582, 'macd_lag_2': 0.10235693432601778, 'macd_lag_3': 0.0813837811004916, 'macd_lag_4': 0.03815776425986428, 'macd_lag_5': -0.1540053645729742, 'macd_12_26_9': 0.20421438345600507, 'macds_12_26_9': -0.14184416339946518}, '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': 47.459999084472656, '2022-07-13': 47.09000015258789, '2022-07-14': 46.040000915527344, '2022-07-15': 47.31999969482422, '2022-07-18': 47.27999877929688, '2022-07-19': 48.540000915527344, '2022-07-20': 48.5, '2022-07-21': 49.0099983215332, '2022-07-22': 49.310001373291016, '2022-07-25': 50.310001373291016}, '1_month_later': {'2022-08-11': 49.25}, '3_months_later': {'2022-10-11': 37.38999938964844}, '6_months_later': {'2023-01-11': 40.81999969482422}, '12_months_later': {'2023-07-11': 38.150001525878906}}
|
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.
|
BFOR
|
{'date': '2022-07-11', 'ticker': 'BFOR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 51.06999969482422, 'high': 51.369998931884766, 'open': 51.119998931884766, 'close': 51.06999969482422, 'ema_50': 53.523678535055275, 'rsi_14': 57.53086605807382, 'target': 50.79999923706055, 'volume': 2500.0, 'ema_200': 56.95086572321171, 'adj_close': 49.60529708862305, 'rsi_lag_1': 62.20158486911903, 'rsi_lag_2': 46.90000652312984, 'rsi_lag_3': 41.840079385804565, 'rsi_lag_4': 43.92419431044806, 'rsi_lag_5': 34.59174726423744, 'macd_lag_1': -0.9312708661209044, 'macd_lag_2': -1.0411208516730994, 'macd_lag_3': -1.1702586231527263, 'macd_lag_4': -1.186717887378073, 'macd_lag_5': -1.21897350924678, 'macd_12_26_9': -0.8816588284602886, 'macds_12_26_9': -1.0584952100906857}, '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': 50.79999923706055, '2022-07-13': 50.79999923706055, '2022-07-14': 50.27999877929688, '2022-07-15': 51.34000015258789, '2022-07-18': 51.470001220703125, '2022-07-19': 53.16999816894531, '2022-07-20': 53.81999969482422, '2022-07-21': 53.9900016784668, '2022-07-22': 53.369998931884766, '2022-07-25': 53.83000183105469}, '1_month_later': {'2022-08-11': 57.400001525878906}, '3_months_later': {'2022-10-11': 50.84999847412109}, '6_months_later': {'2023-01-11': 55.869998931884766}, '12_months_later': {'2023-07-11': 57.7599983215332}}
|
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.
|
BFK
|
{'date': '2022-07-11', 'ticker': 'BFK', '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': 11.0, 'high': 11.18000030517578, 'open': 11.050000190734863, 'close': 11.130000114440918, 'ema_50': 11.43079433569745, 'rsi_14': 68.93934358482343, 'target': 11.079999923706056, 'volume': 163800.0, 'ema_200': 12.948714354293028, 'adj_close': 10.428194999694824, 'rsi_lag_1': 70.71423219187895, 'rsi_lag_2': 56.57140116794878, 'rsi_lag_3': 53.80435092462202, 'rsi_lag_4': 45.32018987020649, 'rsi_lag_5': 38.009049969016395, 'macd_lag_1': -0.20273457463463807, 'macd_lag_2': -0.22702553871407716, 'macd_lag_3': -0.2567638625482971, 'macd_lag_4': -0.2920042357275996, 'macd_lag_5': -0.32560909349147593, 'macd_12_26_9': -0.1694269693864534, 'macds_12_26_9': -0.2563915913097901}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 11.079999923706056, '2022-07-13': 11.149999618530272, '2022-07-14': 11.020000457763672, '2022-07-15': 11.039999961853027, '2022-07-18': 11.029999732971191, '2022-07-19': 11.010000228881836, '2022-07-20': 10.989999771118164, '2022-07-21': 11.0, '2022-07-22': 11.020000457763672, '2022-07-25': 10.970000267028809}, '1_month_later': {'2022-08-11': 11.40999984741211}, '3_months_later': {'2022-10-11': 9.710000038146973}, '6_months_later': {'2023-01-11': 10.279999732971191}, '12_months_later': {'2023-07-11': 9.960000038146973}}
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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.
|
BFIT
|
{'date': '2022-07-11', 'ticker': 'BFIT', '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': 20.290000915527344, 'high': 20.51000022888184, 'open': 20.51000022888184, 'close': 20.3700008392334, 'ema_50': 21.216969748527262, 'rsi_14': 54.85437792134652, 'target': 20.520000457763672, 'volume': 4600.0, 'ema_200': 24.127429623184483, 'adj_close': 19.943897247314453, 'rsi_lag_1': 70.02169028261162, 'rsi_lag_2': 56.65247742936324, 'rsi_lag_3': 54.111427709904646, 'rsi_lag_4': 55.92782744971574, 'rsi_lag_5': 45.06436485876405, 'macd_lag_1': -0.08660039559076083, 'macd_lag_2': -0.12078088504231843, 'macd_lag_3': -0.16550170263998254, 'macd_lag_4': -0.1722181927241806, 'macd_lag_5': -0.1803221005797333, 'macd_12_26_9': -0.10773411287203061, 'macds_12_26_9': -0.15304614737512906}, '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': 20.520000457763672, '2022-07-13': 20.38400077819824, '2022-07-14': 20.06999969482422, '2022-07-15': 20.415000915527344, '2022-07-18': 20.5, '2022-07-19': 21.07999992370605, '2022-07-20': 21.229999542236328, '2022-07-21': 21.63999938964844, '2022-07-22': 21.25, '2022-07-25': 21.36000061035156}, '1_month_later': {'2022-08-11': 22.04199981689453}, '3_months_later': {'2022-10-11': 18.34000015258789}, '6_months_later': {'2023-01-11': 22.450000762939453}, '12_months_later': {'2023-07-11': 22.530000686645508}}
|
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.
|
BG
|
{'date': '2022-07-11', 'ticker': 'BG', '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/bunge-bg-stock-moves-0.65%3A-what-you-should-know', 'news_author': None, 'news_article': 'Bunge (BG) closed the most recent trading day at $87.13, moving -0.65% from the previous trading session. 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 0.34%.\nHeading into today, shares of the agribusiness and food company had lost 18.01% over the past month, outpacing the Basic Materials sector\'s loss of 24.26% and lagging the S&P 500\'s loss of 5.08% in that time.\nInvestors will be hoping for strength from Bunge as it approaches its next earnings release, which is expected to be July 27, 2022. On that day, Bunge is projected to report earnings of $3.40 per share, which would represent year-over-year growth of 30.27%. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $17.93 billion, up 16.48% from the year-ago period.\nBG\'s full-year Zacks Consensus Estimates are calling for earnings of $13 per share and revenue of $69.68 billion. These results would represent year-over-year changes of +0.54% and +17.8%, respectively.\nIt is also important to note the recent changes to analyst estimates for Bunge. These recent revisions tend to reflect the evolving nature of short-term business trends. As a result, we can interpret positive estimate revisions as a good sign for the company\'s business outlook.\nBased on our research, we believe these estimate revisions are directly related to near-team stock moves. We developed the Zacks Rank to capitalize on this phenomenon. Our system takes these estimate changes into account and delivers a clear, actionable rating model.\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 has moved 0.99% higher within the past month. Bunge is currently sporting a Zacks Rank of #3 (Hold).\nLooking at its valuation, Bunge is holding a Forward P/E ratio of 6.75. This valuation marks a discount compared to its industry\'s average Forward P/E of 12.06.\nMeanwhile, BG\'s PEG ratio is currently 1.01. This popular metric is similar to the widely-known P/E ratio, with the difference being that the PEG ratio also takes into account the company\'s expected earnings growth rate. The Agriculture - Products was holding an average PEG ratio of 1.01 at yesterday\'s closing price.\nThe Agriculture - Products industry is part of the Basic Materials sector. This industry currently has a Zacks Industry Rank of 238, which puts it in the bottom 6% 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 \nBunge Limited (BG): 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': "Bunge (BG) closed the most recent trading day at $87.13, moving -0.65% from the previous trading session. BG's full-year Zacks Consensus Estimates are calling for earnings of $13 per share and revenue of $69.68 billion. Meanwhile, BG's PEG ratio is currently 1.01.", 'news_luhn_summary': "Bunge (BG) closed the most recent trading day at $87.13, moving -0.65% from the previous trading session. BG's full-year Zacks Consensus Estimates are calling for earnings of $13 per share and revenue of $69.68 billion. Meanwhile, BG's PEG ratio is currently 1.01.", 'news_article_title': 'Bunge (BG) Stock Moves -0.65%: What You Should Know', 'news_lexrank_summary': "Bunge (BG) closed the most recent trading day at $87.13, moving -0.65% from the previous trading session. BG's full-year Zacks Consensus Estimates are calling for earnings of $13 per share and revenue of $69.68 billion. Meanwhile, BG's PEG ratio is currently 1.01.", 'news_textrank_summary': "Bunge (BG) closed the most recent trading day at $87.13, moving -0.65% from the previous trading session. BG's full-year Zacks Consensus Estimates are calling for earnings of $13 per share and revenue of $69.68 billion. Meanwhile, BG's PEG ratio is currently 1.01."}], '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': 86.62999725341797, 'high': 88.45999908447266, 'open': 87.05999755859375, 'close': 87.12999725341797, 'ema_50': 101.58872193255881, 'rsi_14': 31.039476658364023, 'target': 87.58999633789062, 'volume': 959100.0, 'ema_200': 99.3044120725483, 'adj_close': 83.8778305053711, 'rsi_lag_1': 28.874661747660937, 'rsi_lag_2': 26.524296943330484, 'rsi_lag_3': 19.001336678267663, 'rsi_lag_4': 24.46738900494985, 'rsi_lag_5': 24.318243510668168, 'macd_lag_1': -5.892294213340975, 'macd_lag_2': -6.035008143566685, 'macd_lag_3': -6.2362904795091225, 'macd_lag_4': -6.107217371411494, 'macd_lag_5': -5.932041332142376, 'macd_12_26_9': -5.758802714166194, 'macds_12_26_9': -5.741749713175806}, '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': 87.58999633789062, '2022-07-13': 87.11000061035156, '2022-07-14': 85.62999725341797, '2022-07-15': 86.41000366210938, '2022-07-18': 87.70999908447266, '2022-07-19': 90.0, '2022-07-20': 91.88999938964844, '2022-07-21': 91.58999633789062, '2022-07-22': 91.0199966430664, '2022-07-25': 94.1999969482422}, '1_month_later': {'2022-08-11': 98.58999633789062}, '3_months_later': {'2022-10-11': 86.19999694824219}, '6_months_later': {'2023-01-11': 98.45999908447266}, '12_months_later': {'2023-07-11': 102.11000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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D
|
{'date': '2022-07-11', 'ticker': 'D', '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': 78.9000015258789, 'high': 80.16000366210938, 'open': 79.19000244140625, 'close': 79.77999877929688, 'ema_50': 80.38196498320333, 'rsi_14': 77.7680664309337, 'target': 79.25, 'volume': 1636200.0, 'ema_200': 79.90984051318539, 'adj_close': 74.1762466430664, 'rsi_lag_1': 70.76413118003481, 'rsi_lag_2': 70.41324867431288, 'rsi_lag_3': 72.30897504615568, 'rsi_lag_4': 61.70053491899289, 'rsi_lag_5': 56.6689742915126, 'macd_lag_1': -0.30137171628066994, 'macd_lag_2': -0.35278370127882397, 'macd_lag_3': -0.45807293869194154, 'macd_lag_4': -0.6071791384827492, 'macd_lag_5': -0.7275704195636905, 'macd_12_26_9': -0.22574828190965945, 'macds_12_26_9': -0.7005425775694161}, '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': 79.25, '2022-07-13': 78.66000366210938, '2022-07-14': 78.7699966430664, '2022-07-15': 79.19999694824219, '2022-07-18': 78.01000213623047, '2022-07-19': 77.77999877929688, '2022-07-20': 75.7699966430664, '2022-07-21': 75.95999908447266, '2022-07-22': 77.3499984741211, '2022-07-25': 78.5999984741211}, '1_month_later': {'2022-08-11': 81.76000213623047}, '3_months_later': {'2022-10-11': 64.83000183105469}, '6_months_later': {'2023-01-11': 62.380001068115234}, '12_months_later': {'2023-07-11': 51.9900016784668}}
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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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AWR
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{'date': '2022-07-11', 'ticker': 'AWR', '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': 81.58000183105469, 'high': 82.63999938964844, 'open': 82.44000244140625, 'close': 82.37999725341797, 'ema_50': 80.10501494527898, 'rsi_14': 79.09468764242634, 'target': 81.58000183105469, 'volume': 76000.0, 'ema_200': 84.46466654819274, 'adj_close': 80.11021423339844, 'rsi_lag_1': 80.19186289823973, 'rsi_lag_2': 77.10254394560155, 'rsi_lag_3': 79.5010854513115, 'rsi_lag_4': 67.82868052851049, 'rsi_lag_5': 60.26548953388431, 'macd_lag_1': 1.2379475111442133, 'macd_lag_2': 1.2040194505916446, 'macd_lag_3': 1.0413837158414339, 'macd_lag_4': 0.7738537299502894, 'macd_lag_5': 0.5270231323763852, 'macd_12_26_9': 1.2703646809657698, 'macds_12_26_9': 0.6193553843511773}, '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': 81.58000183105469, '2022-07-13': 81.79000091552734, '2022-07-14': 82.0199966430664, '2022-07-15': 83.19000244140625, '2022-07-18': 80.68000030517578, '2022-07-19': 81.72000122070312, '2022-07-20': 80.97000122070312, '2022-07-21': 81.80999755859375, '2022-07-22': 82.55999755859375, '2022-07-25': 83.7699966430664}, '1_month_later': {'2022-08-11': 87.58999633789062}, '3_months_later': {'2022-10-11': 83.2300033569336}, '6_months_later': {'2023-01-11': 95.3000030517578}, '12_months_later': {'2023-07-11': 85.77999877929688}}
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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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ARDX
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{'date': '2022-07-11', 'ticker': 'ARDX', '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': 0.6449999809265137, 'high': 0.7089999914169312, 'open': 0.699999988079071, 'close': 0.6600000262260437, 'ema_50': 0.6725261254843476, 'rsi_14': 66.19718901057941, 'target': 0.6970000267028809, 'volume': 1509400.0, 'ema_200': 1.3917884133429164, 'adj_close': 0.6600000262260437, 'rsi_lag_1': 80.82191948596301, 'rsi_lag_2': 72.00000397364283, 'rsi_lag_3': 70.10676654792404, 'rsi_lag_4': 63.13993625354068, 'rsi_lag_5': 48.13753405491962, 'macd_lag_1': -0.002317036848064724, 'macd_lag_2': -0.010209296530336198, 'macd_lag_3': -0.018097829244567376, 'macd_lag_4': -0.022099589922469298, 'macd_lag_5': -0.02566402249457922, 'macd_12_26_9': 0.0007018823204028024, 'macds_12_26_9': -0.01612634505413402}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 0.6970000267028809, '2022-07-13': 0.7390000224113464, '2022-07-14': 0.6909999847412109, '2022-07-15': 0.6990000009536743, '2022-07-18': 0.6779999732971191, '2022-07-19': 0.6959999799728394, '2022-07-20': 0.7369999885559082, '2022-07-21': 0.7200000286102295, '2022-07-22': 0.6959999799728394, '2022-07-25': 0.6700000166893005}, '1_month_later': {'2022-08-11': 0.8939999938011169}, '3_months_later': {'2022-10-11': 1.409999966621399}, '6_months_later': {'2023-01-11': 2.900000095367432}, '12_months_later': {'2023-07-11': 3.5}}
|
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.
|
ARE
|
{'date': '2022-07-11', 'ticker': 'ARE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/2-great-stocks-that-are-still-ridiculously-cheap-right-now', 'news_author': None, 'news_article': "With the stock market sell-off, it is time to take a look at some high-quality companies that have been beaten up. The real estate investment trust (REIT) sector is a great place for income investors to look for bargains and yield. Here are a couple of REITs that are trading at attractive multiples and yields.\nImage source: Getty Images.\nAlexandria specializes in building laboratories\nAlexandria Real Estate Equities (NYSE: ARE) is a real estate investment trust that specializes in office space for life sciences companies. These spaces often include sophisticated laboratories, which means most office REITs simply are not able to provide space that meets the specifications of these tenants. Office REITs in general have been under a cloud since the beginning of the pandemic, since working from home was so successful. That said, work from home is more difficult for life sciences companies, which require special lab workspaces and a more collaborative environment.\nThe company guided for 2022 funds from operations (FFO) per share to come in between $8.33 and $8.43 per share, which gives a midpoint of $8.38 per share. REITs generally use funds from operations instead of earnings per share, because depreciation and amortization is a huge non-cash charge which understates the actual cash flows of the company. At current levels, this means Alexandria is trading at 17.2 times guided FFO per share, which is an attractive multiple for a first-in-class company.\nThe stock also has an attractive dividend yield of 3.6%. The annual dividend of $4.60 is more than amply covered by its $8.38 in guided FFO per share. The payout ratio (basically the dividend divided by the earnings) of 55% is low for a REIT. However, it means that Alexandria is using funds for investment as opposed to dividends. This sets the stage for dividend hikes going forward.\nPrologis is a logistics REIT giant\nPrologis (NYSE: PLD) is a logistics REIT that owns high-quality warehouse and storage space in attractive markets. If you drive along an interstate, you will probably see massive spaces with dozens of truck bays. These properties generally house inventory for retailers.\nPrologis was a big COVID-19 pandemic play as more retail spending moved online. Amazon.com is the company's largest customer. Amazon did mention that it over-invested in warehouse space during the COVID-19 pandemic and will be looking to sublet some of its space. This has caused sentiment to become less bullish for the stock. However, the long-term story of Prologis remains intact -- and that is a rethinking of corporate inventory management.\nThe COVID-19 pandemic shined a light on the vulnerabilities of extended supply chains. Shortages of materials have been a common refrain in economic reports like the Institute for Supply Management surveys or the National Federation of Independent Businesses' small business sentiment surveys. Regardless of Amazon's warehouse capacity issues, Corporate America will need additional warehouse space, and Prologis has properties in the most attractive markets.\nPrologis recently announced a merger where the company is buying Duke Realty (NYSE: DRE). This transaction will give Prologis additional properties in southern California, New Jersey, southern Florida, Chicago, Dallas, and Atlanta. The transaction will increase Prologis's FFO per share between $0.20 and $0.25 annually. Prologis guided for 2022 core FFO per share to come in between $5.10 and $5.16 per share. This gives the company a multiple of 23 times guided FFO per share. The company also yields 2.6%, which is historically attractive for the stock. Prologis is a world-class logistics operator trading at a much more attractive multiple.\n10 stocks we like better than Alexandria Real Estate Equities\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 Alexandria Real Estate Equities wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nBrent Nyitray, CFA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Prologis. The Motley Fool recommends Alexandria Real Estate Equities. 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': 'REITs generally use funds from operations instead of earnings per share, because depreciation and amortization is a huge non-cash charge which understates the actual cash flows of the company. At current levels, this means Alexandria is trading at 17.2 times guided FFO per share, which is an attractive multiple for a first-in-class company. Here are a couple of REITs that are trading at attractive multiples and yields.', 'news_luhn_summary': 'Alexandria specializes in building laboratories Alexandria Real Estate Equities (NYSE: ARE) is a real estate investment trust that specializes in office space for life sciences companies. Prologis is a logistics REIT giant Prologis (NYSE: PLD) is a logistics REIT that owns high-quality warehouse and storage space in attractive markets. Here are a couple of REITs that are trading at attractive multiples and yields.', 'news_article_title': '2 Great Stocks That Are Still Ridiculously Cheap Right Now', 'news_lexrank_summary': 'Here are a couple of REITs that are trading at attractive multiples and yields. Alexandria specializes in building laboratories Alexandria Real Estate Equities (NYSE: ARE) is a real estate investment trust that specializes in office space for life sciences companies. These spaces often include sophisticated laboratories, which means most office REITs simply are not able to provide space that meets the specifications of these tenants.', 'news_textrank_summary': 'Alexandria specializes in building laboratories Alexandria Real Estate Equities (NYSE: ARE) is a real estate investment trust that specializes in office space for life sciences companies. The company guided for 2022 funds from operations (FFO) per share to come in between $8.33 and $8.43 per share, which gives a midpoint of $8.38 per share. Prologis is a logistics REIT giant Prologis (NYSE: PLD) is a logistics REIT that owns high-quality warehouse and storage space in attractive markets.'}], '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': 142.97999572753906, 'high': 146.4499969482422, 'open': 145.11000061035156, 'close': 143.47000122070312, 'ema_50': 156.76168443962607, 'rsi_14': 71.30877243340487, 'target': 143.2100067138672, 'volume': 714200.0, 'ema_200': 179.67561494225635, 'adj_close': 135.0720977783203, 'rsi_lag_1': 80.65141183605247, 'rsi_lag_2': 75.03605517818414, 'rsi_lag_3': 76.47270322926818, 'rsi_lag_4': 72.27124921914034, 'rsi_lag_5': 52.50682591231483, 'macd_lag_1': -2.645218718500928, 'macd_lag_2': -2.880441107545863, 'macd_lag_3': -3.4706997996040343, 'macd_lag_4': -4.215347451433388, 'macd_lag_5': -5.033202074835515, 'macd_12_26_9': -2.660526709547611, 'macds_12_26_9': -4.395585420837925}, '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': 143.2100067138672, '2022-07-13': 140.67999267578125, '2022-07-14': 137.41000366210938, '2022-07-15': 142.80999755859375, '2022-07-18': 141.86000061035156, '2022-07-19': 146.55999755859375, '2022-07-20': 147.8000030517578, '2022-07-21': 148.19000244140625, '2022-07-22': 150.22000122070312, '2022-07-25': 150.2899932861328}, '1_month_later': {'2022-08-11': 166.97000122070312}, '3_months_later': {'2022-10-11': 134.47999572753906}, '6_months_later': {'2023-01-11': 153.6999969482422}, '12_months_later': {'2023-07-11': 118.37999725341795}}
|
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.
|
AREC
|
{'date': '2022-07-11', 'ticker': 'AREC', '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': 1.5299999713897705, 'high': 1.590000033378601, 'open': 1.5800000429153442, 'close': 1.5499999523162842, 'ema_50': 1.6544048394905029, 'rsi_14': 50.0, 'target': 1.5, 'volume': 110500.0, 'ema_200': 1.9497520061278855, 'adj_close': 1.5499999523162842, 'rsi_lag_1': 57.69230710449075, 'rsi_lag_2': 55.2631529414422, 'rsi_lag_3': 53.424654178759056, 'rsi_lag_4': 46.25000335276148, 'rsi_lag_5': 37.75510179256708, 'macd_lag_1': -0.04006121442129351, 'macd_lag_2': -0.048887731795413725, 'macd_lag_3': -0.05638792864763542, 'macd_lag_4': -0.059031634039315994, 'macd_lag_5': -0.05951095982251675, 'macd_12_26_9': -0.0358802034075516, 'macds_12_26_9': -0.047150371822820863}, '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': 1.5, '2022-07-13': 1.4800000190734863, '2022-07-14': 1.4700000286102295, '2022-07-15': 1.5499999523162842, '2022-07-18': 1.6299999952316284, '2022-07-19': 1.850000023841858, '2022-07-20': 2.009999990463257, '2022-07-21': 1.9800000190734863, '2022-07-22': 1.830000042915344, '2022-07-25': 2.0299999713897705}, '1_month_later': {'2022-08-11': 2.559999942779541}, '3_months_later': {'2022-10-11': 2.7699999809265137}, '6_months_later': {'2023-01-11': 1.4600000381469729}, '12_months_later': {'2023-07-11': 1.9299999475479128}}
|
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.
|
ares
|
{'date': '2022-07-11', 'ticker': 'ares', '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': 59.459999084472656, 'high': 60.68000030517578, 'open': 60.15999984741211, 'close': 59.75, 'ema_50': 64.69531153958037, 'rsi_14': 65.80061085896192, 'target': 60.34000015258789, 'volume': 984800.0, 'ema_200': 70.35038611448502, 'adj_close': 56.89147186279297, 'rsi_lag_1': 71.95572509771347, 'rsi_lag_2': 56.08821133795705, 'rsi_lag_3': 50.74473808675725, 'rsi_lag_4': 52.99684435029599, 'rsi_lag_5': 35.24589869194956, 'macd_lag_1': -1.8649247124554122, 'macd_lag_2': -2.125018063326287, 'macd_lag_3': -2.4617190014691417, 'macd_lag_4': -2.67035595356802, 'macd_lag_5': -2.9639926164244415, 'macd_12_26_9': -1.7276443333559186, 'macds_12_26_9': -2.3917708744025292}, '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': 60.34000015258789, '2022-07-13': 59.209999084472656, '2022-07-14': 58.61000061035156, '2022-07-15': 60.68999862670898, '2022-07-18': 60.52000045776367, '2022-07-19': 62.66999816894531, '2022-07-20': 64.2300033569336, '2022-07-21': 65.55000305175781, '2022-07-22': 65.13999938964844, '2022-07-25': 65.2300033569336}, '1_month_later': {'2022-08-11': 74.94000244140625}, '3_months_later': {'2022-10-11': 61.459999084472656}, '6_months_later': {'2023-01-11': 74.05999755859375}, '12_months_later': {'2023-07-11': 95.5}}
|
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.
|
ARGD
|
{'date': '2022-07-11', 'ticker': 'ARGD', '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': 22.229999542236328, 'high': 22.43000030517578, 'open': 22.43000030517578, 'close': 22.350000381469727, 'ema_50': 23.510802987455236, 'rsi_14': 27.717401445023782, 'target': 22.280000686645508, 'volume': 12700.0, 'ema_200': 24.712164882161176, 'adj_close': 20.027971267700195, 'rsi_lag_1': 28.494651221933125, 'rsi_lag_2': 22.065773944377085, 'rsi_lag_3': 31.380761152006954, 'rsi_lag_4': 35.840680703963486, 'rsi_lag_5': 27.4809010260376, 'macd_lag_1': -0.4175913075643969, 'macd_lag_2': -0.41743764671633343, 'macd_lag_3': -0.40506066274934227, 'macd_lag_4': -0.3854077492728756, 'macd_lag_5': -0.37406286898385943, 'macd_12_26_9': -0.41135734370564236, 'macds_12_26_9': -0.3767111364212652}, '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': 22.25, '2022-07-14': 22.25, '2022-07-15': 22.299999237060547, '2022-07-18': 22.36000061035156, '2022-07-19': 22.39999961853028, '2022-07-20': 22.450000762939453, '2022-07-21': 22.450000762939453, '2022-07-22': 22.56999969482422, '2022-07-25': 22.540000915527344}, '1_month_later': {'2022-08-11': 23.82999992370605}, '3_months_later': {'2022-10-11': 22.43000030517578}, '6_months_later': {'2023-01-11': 20.81999969482422}, '12_months_later': {'2023-07-11': 22.39999961853028}}
|
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.
|
ARGT
|
{'date': '2022-07-11', 'ticker': 'ARGT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.170000076293945, 'high': 24.729999542236328, 'open': 24.600000381469727, 'close': 24.21999931335449, 'ema_50': 28.182278764548837, 'rsi_14': 35.54757992881525, 'target': 23.950000762939453, 'volume': 13800.0, 'ema_200': 30.61733672051291, 'adj_close': 23.51380157470703, 'rsi_lag_1': 44.25886408894696, 'rsi_lag_2': 35.15754439881856, 'rsi_lag_3': 41.55455414245183, 'rsi_lag_4': 41.36905032220562, 'rsi_lag_5': 32.821727107315965, 'macd_lag_1': -1.1945672730885768, 'macd_lag_2': -1.2421248866029302, 'macd_lag_3': -1.2949402810693869, 'macd_lag_4': -1.299734585754944, 'macd_lag_5': -1.304257730256186, 'macd_12_26_9': -1.2170840517992083, 'macds_12_26_9': -1.24000358932838}, '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': 23.950000762939453, '2022-07-13': 24.200000762939453, '2022-07-14': 23.530000686645508, '2022-07-15': 24.170000076293945, '2022-07-18': 24.479999542236328, '2022-07-19': 24.850000381469727, '2022-07-20': 25.06999969482422, '2022-07-21': 24.8799991607666, '2022-07-22': 24.68000030517578, '2022-07-25': 25.290000915527344}, '1_month_later': {'2022-08-11': 30.39999961853028}, '3_months_later': {'2022-10-11': 29.270000457763672}, '6_months_later': {'2023-01-11': 37.2400016784668}, '12_months_later': {'2023-07-11': 44.84000015258789}}
|
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.
|
ARGX
|
{'date': '2022-07-11', 'ticker': 'ARGX', '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': 355.7799987792969, 'high': 365.8999938964844, 'open': 365.8999938964844, 'close': 356.1499938964844, 'ema_50': 338.0447980633568, 'rsi_14': 53.05558853002622, 'target': 352.3500061035156, 'volume': 441600.0, 'ema_200': 312.8377569387064, 'adj_close': 356.1499938964844, 'rsi_lag_1': 59.37287655645315, 'rsi_lag_2': 59.352587650167216, 'rsi_lag_3': 63.92785418167332, 'rsi_lag_4': 72.6317839399361, 'rsi_lag_5': 66.2382247675774, 'macd_lag_1': 12.04302371315947, 'macd_lag_2': 14.112359673523542, 'macd_lag_3': 15.044460731744948, 'macd_lag_4': 16.182312310555062, 'macd_lag_5': 15.75081209620214, 'macd_12_26_9': 10.552539684358862, 'macds_12_26_9': 13.029314392206093}, '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': 352.3500061035156, '2022-07-13': 354.7099914550781, '2022-07-14': 359.8800048828125, '2022-07-15': 364.7300109863281, '2022-07-18': 364.4200134277344, '2022-07-19': 372.7900085449219, '2022-07-20': 366.239990234375, '2022-07-21': 369.8200073242188, '2022-07-22': 356.7099914550781, '2022-07-25': 363.6099853515625}, '1_month_later': {'2022-08-11': 374.1400146484375}, '3_months_later': {'2022-10-11': 344.57000732421875}, '6_months_later': {'2023-01-11': 395.4500122070313}, '12_months_later': {'2023-07-11': 379.9200134277344}}
|
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.
|
ARI
|
{'date': '2022-07-11', 'ticker': 'ARI', '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': 10.579999923706056, 'high': 10.81999969482422, 'open': 10.739999771118164, 'close': 10.630000114440918, 'ema_50': 11.531084048907939, 'rsi_14': 63.30276032046979, 'target': 10.640000343322754, 'volume': 506400.0, 'ema_200': 12.9476632925194, 'adj_close': 8.685877799987793, 'rsi_lag_1': 67.46269565989735, 'rsi_lag_2': 57.21648952408201, 'rsi_lag_3': 56.200531289702354, 'rsi_lag_4': 54.06092236775574, 'rsi_lag_5': 40.57143075125556, 'macd_lag_1': -0.31464818651450166, 'macd_lag_2': -0.3428438935283822, 'macd_lag_3': -0.3697723250042859, 'macd_lag_4': -0.38450980586926775, 'macd_lag_5': -0.4221636609654098, 'macd_12_26_9': -0.29774669993925684, 'macds_12_26_9': -0.38249444481118555}, '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': 10.640000343322754, '2022-07-13': 10.720000267028809, '2022-07-14': 10.4399995803833, '2022-07-15': 10.630000114440918, '2022-07-18': 10.6899995803833, '2022-07-19': 11.100000381469728, '2022-07-20': 11.329999923706056, '2022-07-21': 11.420000076293944, '2022-07-22': 11.420000076293944, '2022-07-25': 11.5600004196167}, '1_month_later': {'2022-08-11': 12.829999923706056}, '3_months_later': {'2022-10-11': 8.859999656677246}, '6_months_later': {'2023-01-11': 11.65999984741211}, '12_months_later': {'2023-07-11': 11.619999885559082}}
|
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.
|
ARKF
|
{'date': '2022-07-11', 'ticker': 'ARKF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.155000686645508, 'high': 17.010000228881836, 'open': 16.979999542236328, 'close': 16.190000534057617, 'ema_50': 18.64723673301191, 'rsi_14': 54.82353268527617, 'target': 16.290000915527344, 'volume': 976500.0, 'ema_200': 29.888831000635545, 'adj_close': 16.190000534057617, 'rsi_lag_1': 65.2338846840282, 'rsi_lag_2': 57.65363532093962, 'rsi_lag_3': 57.12669800414525, 'rsi_lag_4': 58.78928452120171, 'rsi_lag_5': 44.34783194601375, 'macd_lag_1': -0.40459113321260176, 'macd_lag_2': -0.4939052682167251, 'macd_lag_3': -0.6078457473754852, 'macd_lag_4': -0.657888345608459, 'macd_lag_5': -0.7447734003445312, 'macd_12_26_9': -0.4169565252737897, 'macds_12_26_9': -0.6024429026647171}, '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': 16.290000915527344, '2022-07-13': 16.1299991607666, '2022-07-14': 15.739999771118164, '2022-07-15': 16.280000686645508, '2022-07-18': 16.579999923706055, '2022-07-19': 17.440000534057617, '2022-07-20': 18.6200008392334, '2022-07-21': 18.8799991607666, '2022-07-22': 17.920000076293945, '2022-07-25': 17.690000534057617}, '1_month_later': {'2022-08-11': 20.280000686645508}, '3_months_later': {'2022-10-11': 15.140000343322754}, '6_months_later': {'2023-01-11': 15.5}, '12_months_later': {'2023-07-11': 22.14999961853028}}
|
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.
|
ARKG
|
{'date': '2022-07-11', 'ticker': 'ARKG', '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': 35.540000915527344, 'high': 37.41999816894531, 'open': 37.18999862670898, 'close': 35.599998474121094, 'ema_50': 34.29638895045504, 'rsi_14': 68.73508176676947, 'target': 36.470001220703125, 'volume': 2463700.0, 'ema_200': 48.67084310005798, 'adj_close': 35.599998474121094, 'rsi_lag_1': 79.26380543262125, 'rsi_lag_2': 75.20373831568185, 'rsi_lag_3': 73.97680094777894, 'rsi_lag_4': 74.78991683225266, 'rsi_lag_5': 59.85312243233025, 'macd_lag_1': 1.0303837933104916, 'macd_lag_2': 0.7860784172216597, 'macd_lag_3': 0.4434763480018731, 'macd_lag_4': 0.22883186913586684, 'macd_lag_5': -0.054569844315540905, 'macd_12_26_9': 1.0616727567331168, 'macds_12_26_9': 0.39120692134913193}, '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': 36.470001220703125, '2022-07-13': 36.900001525878906, '2022-07-14': 36.220001220703125, '2022-07-15': 36.369998931884766, '2022-07-18': 35.220001220703125, '2022-07-19': 37.04999923706055, '2022-07-20': 38.27999877929688, '2022-07-21': 38.970001220703125, '2022-07-22': 36.79999923706055, '2022-07-25': 36.709999084472656}, '1_month_later': {'2022-08-11': 40.45000076293945}, '3_months_later': {'2022-10-11': 31.729999542236328}, '6_months_later': {'2023-01-11': 31.309999465942383}, '12_months_later': {'2023-07-11': 35.310001373291016}}
|
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.
|
ARKK
|
{'date': '2022-07-11', 'ticker': 'ARKK', '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': 43.5099983215332, 'high': 46.4900016784668, 'open': 46.18000030517578, 'close': 43.619998931884766, 'ema_50': 45.649283113222154, 'rsi_14': 59.555904051170764, 'target': 44.31999969482422, 'volume': 27702200.0, 'ema_200': 69.58017571715651, 'adj_close': 43.25922393798828, 'rsi_lag_1': 70.75629877662053, 'rsi_lag_2': 64.13582938570727, 'rsi_lag_3': 63.52347163794097, 'rsi_lag_4': 66.66666666666666, 'rsi_lag_5': 52.22445039302854, 'macd_lag_1': 0.42220056348458, 'macd_lag_2': 0.13364778679957112, 'macd_lag_3': -0.23354003117615463, 'macd_lag_4': -0.4065898023778942, 'macd_lag_5': -0.724386785275172, 'macd_12_26_9': 0.3850016014827773, 'macds_12_26_9': -0.2336958250669745}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 44.31999969482422, '2022-07-13': 44.0099983215332, '2022-07-14': 43.09999847412109, '2022-07-15': 44.11000061035156, '2022-07-18': 43.970001220703125, '2022-07-19': 45.79999923706055, '2022-07-20': 48.119998931884766, '2022-07-21': 48.959999084472656, '2022-07-22': 46.25, '2022-07-25': 45.650001525878906}, '1_month_later': {'2022-08-11': 49.91999816894531}, '3_months_later': {'2022-10-11': 35.650001525878906}, '6_months_later': {'2023-01-11': 34.7599983215332}, '12_months_later': {'2023-07-11': 47.04999923706055}}
|
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.
|
ARKR
|
{'date': '2022-07-11', 'ticker': 'ARKR', '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': 18.850000381469727, 'high': 19.450000762939453, 'open': 19.3799991607666, 'close': 18.950000762939453, 'ema_50': 17.450160569407487, 'rsi_14': 68.74206584061736, 'target': 19.25, 'volume': 4400.0, 'ema_200': 17.306590605727557, 'adj_close': 17.957290649414062, 'rsi_lag_1': 74.41539899264713, 'rsi_lag_2': 69.28674887051383, 'rsi_lag_3': 61.769911623923484, 'rsi_lag_4': 57.458555579168106, 'rsi_lag_5': 58.208943539304336, 'macd_lag_1': 0.4109940367070628, 'macd_lag_2': 0.27563109429280175, 'macd_lag_3': 0.16503135667196744, 'macd_lag_4': 0.15077455480209068, 'macd_lag_5': 0.16805722541023016, 'macd_12_26_9': 0.4645008052019399, 'macds_12_26_9': 0.21430823069826507}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 19.25, '2022-07-13': 19.1299991607666, '2022-07-14': 19.38999938964844, '2022-07-15': 19.190000534057617, '2022-07-18': 19.5, '2022-07-19': 19.239999771118164, '2022-07-20': 19.32999992370605, '2022-07-21': 19.64999961853028, '2022-07-22': 19.64999961853028, '2022-07-25': 19.88999938964844}, '1_month_later': {'2022-08-11': 21.84000015258789}, '3_months_later': {'2022-10-11': 19.1200008392334}, '6_months_later': {'2023-01-11': 16.84000015258789}, '12_months_later': {'2023-07-11': 18.489999771118164}}
|
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.
|
ARCT
|
{'date': '2022-07-11', 'ticker': 'ARCT', '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': 17.860000610351562, 'high': 19.059999465942383, 'open': 18.850000381469727, 'close': 18.049999237060547, 'ema_50': 18.061568207809493, 'rsi_14': 72.89999266624518, 'target': 18.299999237060547, 'volume': 451800.0, 'ema_200': 26.91594058740642, 'adj_close': 18.049999237060547, 'rsi_lag_1': 83.3333271001683, 'rsi_lag_2': 75.31417955047019, 'rsi_lag_3': 74.77063698435973, 'rsi_lag_4': 76.95939302013137, 'rsi_lag_5': 55.60123324870822, 'macd_lag_1': 0.22580298225409834, 'macd_lag_2': 0.05172082559474234, 'macd_lag_3': -0.16002374388064666, 'macd_lag_4': -0.3617772209196666, 'macd_lag_5': -0.6751167563311924, 'macd_12_26_9': 0.27904906414473984, 'macds_12_26_9': -0.26354395979453127}, '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': 18.299999237060547, '2022-07-13': 18.86000061035156, '2022-07-14': 17.25, '2022-07-15': 16.75, '2022-07-18': 15.859999656677246, '2022-07-19': 17.540000915527344, '2022-07-20': 19.06999969482422, '2022-07-21': 18.520000457763672, '2022-07-22': 16.90999984741211, '2022-07-25': 16.780000686645508}, '1_month_later': {'2022-08-11': 17.030000686645508}, '3_months_later': {'2022-10-11': 15.630000114440918}, '6_months_later': {'2023-01-11': 17.84000015258789}, '12_months_later': {'2023-07-11': 30.26000022888184}}
|
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.
|
ARLO
|
{'date': '2022-07-11', 'ticker': 'ARLO', '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': 6.190000057220459, 'high': 6.429999828338623, 'open': 6.389999866485596, 'close': 6.199999809265137, 'ema_50': 6.895443258942609, 'rsi_14': 51.48514711252672, 'target': 6.230000019073486, 'volume': 354100.0, 'ema_200': 7.590348539500717, 'adj_close': 6.199999809265137, 'rsi_lag_1': 61.1702042664252, 'rsi_lag_2': 53.080571933495904, 'rsi_lag_3': 46.774196029330106, 'rsi_lag_4': 45.789476854319695, 'rsi_lag_5': 35.37117712980674, 'macd_lag_1': -0.19039318131542782, 'macd_lag_2': -0.21575207922054673, 'macd_lag_3': -0.2419265240373507, 'macd_lag_4': -0.23821571011291276, 'macd_lag_5': -0.24426893823533913, 'macd_12_26_9': -0.18829839599015852, 'macds_12_26_9': -0.2202743535725727}, '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': 6.230000019073486, '2022-07-13': 6.099999904632568, '2022-07-14': 6.070000171661377, '2022-07-15': 6.269999980926514, '2022-07-18': 6.53000020980835, '2022-07-19': 6.989999771118164, '2022-07-20': 7.340000152587891, '2022-07-21': 7.340000152587891, '2022-07-22': 7.130000114440918, '2022-07-25': 7.230000019073486}, '1_month_later': {'2022-08-11': 7.21999979019165}, '3_months_later': {'2022-10-11': 4.429999828338623}, '6_months_later': {'2023-01-11': 3.740000009536743}, '12_months_later': {'2023-07-11': 10.989999771118164}}
|
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.
|
ARMK
|
{'date': '2022-07-11', 'ticker': 'ARMK', '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': 21.689531326293945, 'high': 21.95667839050293, 'open': 21.8555965423584, 'close': 21.841154098510746, 'ema_50': 23.478643528678276, 'rsi_14': 59.46546377286539, 'target': 21.942237854003903, 'volume': 1330985.0, 'ema_200': 25.085117730039634, 'adj_close': 21.338823318481445, 'rsi_lag_1': 65.30615301121242, 'rsi_lag_2': 46.98204738036723, 'rsi_lag_3': 51.274380038290374, 'rsi_lag_4': 50.07319715503835, 'rsi_lag_5': 38.302779391797095, 'macd_lag_1': -0.495326348352517, 'macd_lag_2': -0.516425856839728, 'macd_lag_3': -0.5527531175513474, 'macd_lag_4': -0.5712309842843837, 'macd_lag_5': -0.6225287363210512, 'macd_12_26_9': -0.4898540244040568, 'macds_12_26_9': -0.5816936632519016}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 21.942237854003903, '2022-07-13': 21.89891624450684, '2022-07-14': 21.711191177368164, '2022-07-15': 22.17328453063965, '2022-07-18': 22.17328453063965, '2022-07-19': 22.916967391967773, '2022-07-20': 23.335739135742188, '2022-07-21': 23.155235290527344, '2022-07-22': 23.083032608032227, '2022-07-25': 23.20577621459961}, '1_month_later': {'2022-08-11': 26.223827362060547}, '3_months_later': {'2022-10-11': 23.812274932861328}, '6_months_later': {'2023-01-11': 32.0}, '12_months_later': {'2023-07-11': 30.64259910583496}}
|
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.
|
ARMP
|
{'date': '2022-07-11', 'ticker': 'ARMP', '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': 3.309999942779541, 'high': 4.0, 'open': 3.309999942779541, 'close': 3.700000047683716, 'ema_50': 4.041428237304308, 'rsi_14': 51.324505899241, 'target': 3.890000104904175, 'volume': 9000.0, 'ema_200': 4.387457436778595, 'adj_close': 3.700000047683716, 'rsi_lag_1': 45.45454618432372, 'rsi_lag_2': 42.45283061306258, 'rsi_lag_3': 46.60194129810808, 'rsi_lag_4': 44.8160548984648, 'rsi_lag_5': 37.32590547747035, 'macd_lag_1': -0.17281704428982758, 'macd_lag_2': -0.17149120356175285, 'macd_lag_3': -0.16934089285681075, 'macd_lag_4': -0.1824604537307737, 'macd_lag_5': -0.1812790769364092, 'macd_12_26_9': -0.15593196362862338, 'macds_12_26_9': -0.17761034270643158}, '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': 3.890000104904175, '2022-07-13': 3.930000066757202, '2022-07-14': 4.199999809265137, '2022-07-15': 4.150000095367432, '2022-07-18': 4.199999809265137, '2022-07-19': 3.950000047683716, '2022-07-20': 3.920000076293945, '2022-07-21': 4.010000228881836, '2022-07-22': 4.210000038146973, '2022-07-25': 4.110000133514404}, '1_month_later': {'2022-08-11': 4.25}, '3_months_later': {'2022-10-11': 3.7200000286102295}, '6_months_later': {'2023-01-11': 1.9700000286102293}, '12_months_later': {'2023-07-11': 1.1699999570846558}}
|
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.
|
AROC
|
{'date': '2022-07-11', 'ticker': 'AROC', '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': 7.920000076293945, 'high': 8.140000343322754, 'open': 8.069999694824219, 'close': 8.039999961853027, 'ema_50': 8.780724157412598, 'rsi_14': 50.16722781384799, 'target': 7.900000095367432, 'volume': 620200.0, 'ema_200': 8.693306976638912, 'adj_close': 7.344355583190918, 'rsi_lag_1': 47.31861246189818, 'rsi_lag_2': 39.34427382835595, 'rsi_lag_3': 31.38462111794317, 'rsi_lag_4': 31.974931236088224, 'rsi_lag_5': 31.003050306726422, 'macd_lag_1': -0.33568225816613584, 'macd_lag_2': -0.3540653603129442, 'macd_lag_3': -0.3662698052798241, 'macd_lag_4': -0.33375586155103854, 'macd_lag_5': -0.30878343745324877, 'macd_12_26_9': -0.32702674441290647, 'macds_12_26_9': -0.31855872885632647}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 7.900000095367432, '2022-07-13': 7.980000019073486, '2022-07-14': 7.789999961853027, '2022-07-15': 7.880000114440918, '2022-07-18': 8.029999732971191, '2022-07-19': 8.180000305175781, '2022-07-20': 8.1899995803833, '2022-07-21': 7.860000133514404, '2022-07-22': 7.840000152587891, '2022-07-25': 8.239999771118164}, '1_month_later': {'2022-08-11': 7.880000114440918}, '3_months_later': {'2022-10-11': 6.75}, '6_months_later': {'2023-01-11': 9.43000030517578}, '12_months_later': {'2023-07-11': 10.220000267028809}}
|
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.
|
AROW
|
{'date': '2022-07-11', 'ticker': 'AROW', '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': 30.39805793762207, 'high': 30.766990661621094, 'open': 30.766990661621094, 'close': 30.55339813232422, 'ema_50': 31.176054144359277, 'rsi_14': 50.898201831754186, 'target': 30.77669906616211, 'volume': 9785.0, 'ema_200': 32.408545777450875, 'adj_close': 28.60638999938965, 'rsi_lag_1': 47.091430832199045, 'rsi_lag_2': 51.156823115048994, 'rsi_lag_3': 58.25001105070066, 'rsi_lag_4': 62.10526370209673, 'rsi_lag_5': 66.3013822498684, 'macd_lag_1': -0.07222228710048739, 'macd_lag_2': -0.04887238691955886, 'macd_lag_3': -0.01934704443215196, 'macd_lag_4': -0.004116654456343127, 'macd_lag_5': -0.007353354994986461, 'macd_12_26_9': -0.10208513283557252, 'macds_12_26_9': -0.04800211015966258}, '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': 30.77669906616211, '2022-07-13': 30.43689346313477, '2022-07-14': 29.87378692626953, '2022-07-15': 31.44660186767578, '2022-07-18': 30.854368209838867, '2022-07-19': 31.631067276000977, '2022-07-20': 31.59223365783692, '2022-07-21': 31.689319610595703, '2022-07-22': 31.135921478271484, '2022-07-25': 31.82524299621582}, '1_month_later': {'2022-08-11': 33.563106536865234}, '3_months_later': {'2022-10-11': 29.13999938964844}, '6_months_later': {'2023-01-11': 33.380001068115234}, '12_months_later': {'2023-07-11': 20.270000457763672}}
|
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.
|
ARQT
|
{'date': '2022-07-11', 'ticker': 'ARQT', '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/arcutis%3A-health-canada-accepts-nds-for-roflumilast-cream-to-treat-plaque-psoriasis', 'news_author': None, 'news_article': '(RTTNews) - Arcutis Canada Inc., a unit of medical dermatology company Arcutis Biotherapeutics, Inc. (ARQT), announced Monday that Health Canada has accepted the New Drug Submission or NDS for roflumilast cream 0.3% (ARQ-151) to treat plaque psoriasis in adults and adolescents.\nThe company noted that the safety and efficacy of roflumilast cream remain under investigation, and market authorization in Canada has not yet been obtained.\nIf approved by Health Canada, roflumilast will be an important new treatment option for people suffering from psoriasis, a chronic inflammatory skin condition. Plaque psoriasis is its most common form.\nRoflumilast cream is a once-daily topical formulation of roflumilast, an inhibitor of phosphodiesterase type 4 or PDE4, an enzyme that drives overactive immune responses and is an established target in dermatology.\nThe Arcutis NDS is supported by clinical trial results from Arcutis\' pivotal Phase 3 program and two long-term open label studies, DERMIS 1 and DERMIS 2.\nJamie Lewis, Head of Arcutis Canadian operations, said, "This is a major milestone for Arcutis in Canada and an important step towards potentially bringing an alternative topical option to market for plaque psoriasis that has been developed for chronic use anywhere on the body, including sensitive areas such as the face, genitals and in areas where the skin rubs together."\nFor More Such Health News, visit rttnews.com\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': '(RTTNews) - Arcutis Canada Inc., a unit of medical dermatology company Arcutis Biotherapeutics, Inc. (ARQT), announced Monday that Health Canada has accepted the New Drug Submission or NDS for roflumilast cream 0.3% (ARQ-151) to treat plaque psoriasis in adults and adolescents. The company noted that the safety and efficacy of roflumilast cream remain under investigation, and market authorization in Canada has not yet been obtained. If approved by Health Canada, roflumilast will be an important new treatment option for people suffering from psoriasis, a chronic inflammatory skin condition.', 'news_luhn_summary': '(RTTNews) - Arcutis Canada Inc., a unit of medical dermatology company Arcutis Biotherapeutics, Inc. (ARQT), announced Monday that Health Canada has accepted the New Drug Submission or NDS for roflumilast cream 0.3% (ARQ-151) to treat plaque psoriasis in adults and adolescents. If approved by Health Canada, roflumilast will be an important new treatment option for people suffering from psoriasis, a chronic inflammatory skin condition. Jamie Lewis, Head of Arcutis Canadian operations, said, "This is a major milestone for Arcutis in Canada and an important step towards potentially bringing an alternative topical option to market for plaque psoriasis that has been developed for chronic use anywhere on the body, including sensitive areas such as the face, genitals and in areas where the skin rubs together."', 'news_article_title': 'Arcutis: Health Canada Accepts NDS For Roflumilast Cream To Treat Plaque Psoriasis', 'news_lexrank_summary': '(RTTNews) - Arcutis Canada Inc., a unit of medical dermatology company Arcutis Biotherapeutics, Inc. (ARQT), announced Monday that Health Canada has accepted the New Drug Submission or NDS for roflumilast cream 0.3% (ARQ-151) to treat plaque psoriasis in adults and adolescents. The company noted that the safety and efficacy of roflumilast cream remain under investigation, and market authorization in Canada has not yet been obtained. If approved by Health Canada, roflumilast will be an important new treatment option for people suffering from psoriasis, a chronic inflammatory skin condition.', 'news_textrank_summary': '(RTTNews) - Arcutis Canada Inc., a unit of medical dermatology company Arcutis Biotherapeutics, Inc. (ARQT), announced Monday that Health Canada has accepted the New Drug Submission or NDS for roflumilast cream 0.3% (ARQ-151) to treat plaque psoriasis in adults and adolescents. If approved by Health Canada, roflumilast will be an important new treatment option for people suffering from psoriasis, a chronic inflammatory skin condition. Jamie Lewis, Head of Arcutis Canadian operations, said, "This is a major milestone for Arcutis in Canada and an important step towards potentially bringing an alternative topical option to market for plaque psoriasis that has been developed for chronic use anywhere on the body, including sensitive areas such as the face, genitals and in areas where the skin rubs together."'}, {'news_url': 'https://www.nasdaq.com/articles/arcutis-says-health-canada-accepts-for-review-roflumilast-cream-nds-for-plaque-psoriasis', 'news_author': None, 'news_article': "(RTTNews) - Arcutis Biotherapeutics, Inc. (ARQT) announced Monday that Health Canada has accepted for review the New Drug Submission (NDS) for roflumilast cream 0.3% for the treatment of plaque psoriasis in adults and adolescents. The target action date is April 30, 2023.\nRoflumilast cream (ARQ-151) is a once-daily topical formulation of roflumilast, a highly potent and selective inhibitor of phosphodiesterase type 4 (PDE4), an enzyme that drives overactive immune responses. PDE4 is an established target in dermatology.\nArcutis' NDS submission is supported by positive data from Arcutis' pivotal Phase 3 program and two long-term open label studies. DERMIS-1 and DERMIS-2 were identical Phase 3 randomized, parallel, double-blind, vehicle-controlled, multi-national, multi-center studies to evaluate the safety and efficacy of roflumilast cream 0.3%.\nA new drug application (NDA) for roflumilast cream for the treatment of plaque psoriasis in adolescents and adults is also under review by the U.S. Food & Drug Administration (FDA). The FDA has set a target action date of July 29, 2022.\nFor More Such Health News, visit rttnews.com\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': '(RTTNews) - Arcutis Biotherapeutics, Inc. (ARQT) announced Monday that Health Canada has accepted for review the New Drug Submission (NDS) for roflumilast cream 0.3% for the treatment of plaque psoriasis in adults and adolescents. Roflumilast cream (ARQ-151) is a once-daily topical formulation of roflumilast, a highly potent and selective inhibitor of phosphodiesterase type 4 (PDE4), an enzyme that drives overactive immune responses. DERMIS-1 and DERMIS-2 were identical Phase 3 randomized, parallel, double-blind, vehicle-controlled, multi-national, multi-center studies to evaluate the safety and efficacy of roflumilast cream 0.3%.', 'news_luhn_summary': '(RTTNews) - Arcutis Biotherapeutics, Inc. (ARQT) announced Monday that Health Canada has accepted for review the New Drug Submission (NDS) for roflumilast cream 0.3% for the treatment of plaque psoriasis in adults and adolescents. The target action date is April 30, 2023. A new drug application (NDA) for roflumilast cream for the treatment of plaque psoriasis in adolescents and adults is also under review by the U.S. Food & Drug Administration (FDA).', 'news_article_title': 'Arcutis Says Health Canada Accepts For Review Roflumilast Cream NDS For Plaque Psoriasis', 'news_lexrank_summary': '(RTTNews) - Arcutis Biotherapeutics, Inc. (ARQT) announced Monday that Health Canada has accepted for review the New Drug Submission (NDS) for roflumilast cream 0.3% for the treatment of plaque psoriasis in adults and adolescents. The target action date is April 30, 2023. Roflumilast cream (ARQ-151) is a once-daily topical formulation of roflumilast, a highly potent and selective inhibitor of phosphodiesterase type 4 (PDE4), an enzyme that drives overactive immune responses.', 'news_textrank_summary': '(RTTNews) - Arcutis Biotherapeutics, Inc. (ARQT) announced Monday that Health Canada has accepted for review the New Drug Submission (NDS) for roflumilast cream 0.3% for the treatment of plaque psoriasis in adults and adolescents. A new drug application (NDA) for roflumilast cream for the treatment of plaque psoriasis in adolescents and adults is also under review by the U.S. Food & Drug Administration (FDA). The FDA has set a target action date of July 29, 2022.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.709999084472656, 'high': 26.1299991607666, 'open': 24.8700008392334, 'close': 25.61000061035156, 'ema_50': 21.114371990099883, 'rsi_14': 74.39825141647738, 'target': 23.809999465942383, 'volume': 568000.0, 'ema_200': 20.454181105240384, 'adj_close': 25.61000061035156, 'rsi_lag_1': 78.08988683779461, 'rsi_lag_2': 63.0719033011674, 'rsi_lag_3': 65.12346060569311, 'rsi_lag_4': 60.72408103563903, 'rsi_lag_5': 53.15947444410923, 'macd_lag_1': 0.7857641057306672, 'macd_lag_2': 0.5383001800146872, 'macd_lag_3': 0.47425268907405993, 'macd_lag_4': 0.4049520886273541, 'macd_lag_5': 0.3915545723543623, 'macd_12_26_9': 0.9794664995734479, 'macds_12_26_9': 0.5888679776628137}, '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': 23.809999465942383, '2022-07-13': 24.25, '2022-07-14': 23.93000030517578, '2022-07-15': 24.200000762939453, '2022-07-18': 23.709999084472656, '2022-07-19': 24.82999992370605, '2022-07-20': 24.06999969482422, '2022-07-21': 22.690000534057617, '2022-07-22': 21.520000457763672, '2022-07-25': 21.76000022888184}, '1_month_later': {'2022-08-11': 24.82999992370605}, '3_months_later': {'2022-10-11': 18.530000686645508}, '6_months_later': {'2023-01-11': 13.529999732971191}, '12_months_later': {'2023-07-11': 9.300000190734863}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ARR
|
{'date': '2022-07-11', 'ticker': 'ARR', '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': 35.04999923706055, 'high': 35.70000076293945, 'open': 35.599998474121094, 'close': 35.150001525878906, 'ema_50': 36.156845926562774, 'rsi_14': 81.0344751987807, 'target': 35.150001525878906, 'volume': 414880.0, 'ema_200': 42.731993459414454, 'adj_close': 30.969322204589844, 'rsi_lag_1': 87.09673449849689, 'rsi_lag_2': 68.06722648668567, 'rsi_lag_3': 65.21739130434783, 'rsi_lag_4': 57.251915065609886, 'rsi_lag_5': 45.98765686470046, 'macd_lag_1': -0.12470168862411413, 'macd_lag_2': -0.20029809519956387, 'macd_lag_3': -0.3244189380228448, 'macd_lag_4': -0.4170323052663747, 'macd_lag_5': -0.6208112340155267, 'macd_12_26_9': -0.0999498253421649, 'macds_12_26_9': -0.5012086200079067}, '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': 35.150001525878906, '2022-07-13': 35.70000076293945, '2022-07-14': 33.79999923706055, '2022-07-15': 34.70000076293945, '2022-07-18': 33.70000076293945, '2022-07-19': 34.70000076293945, '2022-07-20': 35.349998474121094, '2022-07-21': 35.900001525878906, '2022-07-22': 35.599998474121094, '2022-07-25': 35.5}, '1_month_later': {'2022-08-11': 38.650001525878906}, '3_months_later': {'2022-10-11': 25.200000762939453}, '6_months_later': {'2023-01-11': 30.14999961853028}, '12_months_later': {'2023-07-11': 25.549999237060547}}
|
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.
|
ARTL
|
{'date': '2022-07-11', 'ticker': 'ARTL', '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': 4.860000133514404, 'high': 5.235000133514404, 'open': 5.099999904632568, 'close': 5.235000133514404, 'ema_50': 5.168417770501034, 'rsi_14': 66.0714336398527, 'target': 5.385000228881836, 'volume': 28440.0, 'ema_200': 7.736194239943533, 'adj_close': 5.235000133514404, 'rsi_lag_1': 54.99999046325077, 'rsi_lag_2': 55.88236394088216, 'rsi_lag_3': 37.80488986806342, 'rsi_lag_4': 33.695660436686055, 'rsi_lag_5': 26.495733462446154, 'macd_lag_1': -0.12207444842173398, 'macd_lag_2': -0.148763866399781, 'macd_lag_3': -0.17761091265978646, 'macd_lag_4': -0.17213772475079203, 'macd_lag_5': -0.16264812527784578, 'macd_12_26_9': -0.07703770535441468, 'macds_12_26_9': -0.13634528841510477}, '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': 5.385000228881836, '2022-07-13': 5.025000095367432, '2022-07-14': 5.099999904632568, '2022-07-15': 5.099999904632568, '2022-07-18': 4.934999942779541, '2022-07-19': 5.010000228881836, '2022-07-20': 5.21999979019165, '2022-07-21': 5.474999904632568, '2022-07-22': 5.385000228881836, '2022-07-25': 5.309999942779541}, '1_month_later': {'2022-08-11': 3.7200000286102295}, '3_months_later': {'2022-10-11': 3.2699999809265137}, '6_months_later': {'2023-01-11': 3.3499999046325684}, '12_months_later': {'2023-07-11': 2.039999961853028}}
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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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