ticker
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|---|---|---|---|
FTV
|
{'date': '2022-07-11', 'ticker': 'FTV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 55.45500183105469, 'high': 56.18000030517578, 'open': 55.709999084472656, 'close': 55.4900016784668, 'ema_50': 57.749044768931086, 'rsi_14': 64.25408742376224, 'target': 54.7599983215332, 'volume': 1698400.0, 'ema_200': 63.733325247144904, 'adj_close': 55.136756896972656, 'rsi_lag_1': 67.5465953483137, 'rsi_lag_2': 46.103885380611416, 'rsi_lag_3': 44.481613316152306, 'rsi_lag_4': 39.00200912731156, 'rsi_lag_5': 31.898716329234716, 'macd_lag_1': -0.9968071172884692, 'macd_lag_2': -1.1235835233809155, 'macd_lag_3': -1.2598896330989575, 'macd_lag_4': -1.3300132277087755, 'macd_lag_5': -1.38387950501113, 'macd_12_26_9': -0.9276024616226124, 'macds_12_26_9': -1.133986091435668}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 54.7599983215332, '2022-07-13': 54.27999877929688, '2022-07-14': 53.65999984741211, '2022-07-15': 54.900001525878906, '2022-07-18': 54.27000045776367, '2022-07-19': 56.59999847412109, '2022-07-20': 57.18999862670898, '2022-07-21': 58.790000915527344, '2022-07-22': 58.41999816894531, '2022-07-25': 58.310001373291016}, '1_month_later': {'2022-08-11': 67.27999877929688}, '3_months_later': {'2022-10-11': 59.09999847412109}, '6_months_later': {'2023-01-11': 67.01000213623047}, '12_months_later': {'2023-07-11': 74.61000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTXG
|
{'date': '2022-07-11', 'ticker': 'FTXG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.799999237060547, 'high': 26.01499938964844, 'open': 25.920000076293945, 'close': 25.84000015258789, 'ema_50': 26.21838944957195, 'rsi_14': 66.08281908783724, 'target': 25.89999961853028, 'volume': 37100.0, 'ema_200': 26.1161712998176, 'adj_close': 24.5520133972168, 'rsi_lag_1': 67.7471688057638, 'rsi_lag_2': 63.14198751636524, 'rsi_lag_3': 58.520914914429966, 'rsi_lag_4': 58.25243557447953, 'rsi_lag_5': 50.49088163947513, 'macd_lag_1': -0.13353771101883183, 'macd_lag_2': -0.15655375764344015, 'macd_lag_3': -0.19790794035187886, 'macd_lag_4': -0.22032149292509118, 'macd_lag_5': -0.23961542939544955, 'macd_12_26_9': -0.11956741982006847, 'macds_12_26_9': -0.21953728183782648}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.89999961853028, '2022-07-13': 26.11000061035156, '2022-07-14': 25.729999542236328, '2022-07-15': 25.920000076293945, '2022-07-18': 25.729999542236328, '2022-07-19': 26.100000381469727, '2022-07-20': 26.040000915527344, '2022-07-21': 25.950000762939453, '2022-07-22': 26.020000457763672, '2022-07-25': 26.34000015258789}, '1_month_later': {'2022-08-11': 27.32999992370605}, '3_months_later': {'2022-10-11': 25.420000076293945}, '6_months_later': {'2023-01-11': 27.14999961853028}, '12_months_later': {'2023-07-11': 26.059999465942383}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTXH
|
{'date': '2022-07-11', 'ticker': 'FTXH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.75, 'high': 27.104999542236328, 'open': 26.950000762939453, 'close': 26.75, 'ema_50': 26.351065402521183, 'rsi_14': 72.60562722695704, 'target': 26.709999084472656, 'volume': 12500.0, 'ema_200': 26.186084308323803, 'adj_close': 26.10960578918457, 'rsi_lag_1': 83.94405590185784, 'rsi_lag_2': 72.8924012966994, 'rsi_lag_3': 75.12224101675346, 'rsi_lag_4': 73.39467105067897, 'rsi_lag_5': 64.80262393048517, 'macd_lag_1': 0.27078252499223865, 'macd_lag_2': 0.24465147664648867, 'macd_lag_3': 0.2255584881647188, 'macd_lag_4': 0.20045345692503957, 'macd_lag_5': 0.16854923668229915, 'macd_12_26_9': 0.25506424168838393, 'macds_12_26_9': 0.16647970502332818}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 26.709999084472656, '2022-07-13': 26.440000534057617, '2022-07-14': 26.43000030517578, '2022-07-15': 26.63999938964844, '2022-07-18': 26.270000457763672, '2022-07-19': 26.48500061035156, '2022-07-20': 26.25, '2022-07-21': 26.30500030517578, '2022-07-22': 26.15399932861328, '2022-07-25': 26.530000686645508}, '1_month_later': {'2022-08-11': 26.375}, '3_months_later': {'2022-10-11': 24.5}, '6_months_later': {'2023-01-11': 27.78199958801269}, '12_months_later': {'2023-07-11': 25.809999465942383}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTXL
|
{'date': '2022-07-11', 'ticker': 'FTXL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.77999877929688, 'high': 53.50400161743164, 'open': 53.27000045776367, 'close': 52.77999877929688, 'ema_50': 57.84756252569237, 'rsi_14': 50.173247480198896, 'target': 53.400001525878906, 'volume': 46500.0, 'ema_200': 64.42923913009678, 'adj_close': 52.10307693481445, 'rsi_lag_1': 53.62962690858434, 'rsi_lag_2': 44.09256468836812, 'rsi_lag_3': 38.47184616446657, 'rsi_lag_4': 36.47059662094576, 'rsi_lag_5': 28.794914388163548, 'macd_lag_1': -1.8529345488106586, 'macd_lag_2': -2.0241337216152218, 'macd_lag_3': -2.2356039112010464, 'macd_lag_4': -2.238817155790592, 'macd_lag_5': -2.155371899765143, 'macd_12_26_9': -1.785437549865982, 'macds_12_26_9': -1.9483342416948057}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 53.400001525878906, '2022-07-13': 53.52999877929688, '2022-07-14': 54.470001220703125, '2022-07-15': 55.90999984741211, '2022-07-18': 55.400001525878906, '2022-07-19': 57.65999984741211, '2022-07-20': 59.34000015258789, '2022-07-21': 60.0, '2022-07-22': 58.72999954223633, '2022-07-25': 57.91999816894531}, '1_month_later': {'2022-08-11': 61.380001068115234}, '3_months_later': {'2022-10-11': 46.86000061035156}, '6_months_later': {'2023-01-11': 57.91999816894531}, '12_months_later': {'2023-07-11': 70.44999694824219}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTXN
|
{'date': '2022-07-11', 'ticker': 'FTXN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.520000457763672, 'high': 23.1200008392334, 'open': 22.86000061035156, 'close': 22.88999938964844, 'ema_50': 25.95073503581954, 'rsi_14': 42.03703082310933, 'target': 22.299999237060547, 'volume': 179000.0, 'ema_200': 23.608901698276306, 'adj_close': 21.8079891204834, 'rsi_lag_1': 37.52066360618567, 'rsi_lag_2': 32.82718481093802, 'rsi_lag_3': 25.644917001369322, 'rsi_lag_4': 26.48902512050232, 'rsi_lag_5': 25.49019297595045, 'macd_lag_1': -1.4152827111365553, 'macd_lag_2': -1.4449822456399133, 'macd_lag_3': -1.4710353798238387, 'macd_lag_4': -1.3647826992846532, 'macd_lag_5': -1.2520777067903843, 'macd_12_26_9': -1.3934352220958672, 'macds_12_26_9': -1.2358915583631174}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 22.299999237060547, '2022-07-13': 22.46999931335449, '2022-07-14': 22.030000686645508, '2022-07-15': 22.530000686645508, '2022-07-18': 23.100000381469727, '2022-07-19': 23.950000762939453, '2022-07-20': 24.43000030517578, '2022-07-21': 23.809999465942383, '2022-07-22': 23.489999771118164, '2022-07-25': 24.709999084472656}, '1_month_later': {'2022-08-11': 26.5}, '3_months_later': {'2022-10-11': 26.920000076293945}, '6_months_later': {'2023-01-11': 27.799999237060547}, '12_months_later': {'2023-07-11': 27.15699958801269}}
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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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ftxo
|
{'date': '2022-07-11', 'ticker': 'ftxo', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.190000534057617, 'high': 26.450000762939453, 'open': 26.299999237060547, 'close': 26.299999237060547, 'ema_50': 27.92097340313696, 'rsi_14': 51.06082106732278, 'target': 26.26300048828125, 'volume': 32400.0, 'ema_200': 30.484262394790296, 'adj_close': 24.917869567871094, 'rsi_lag_1': 57.637014530455005, 'rsi_lag_2': 49.04433962298543, 'rsi_lag_3': 48.05143593662199, 'rsi_lag_4': 51.425074476644305, 'rsi_lag_5': 44.06838767211719, 'macd_lag_1': -0.5136932902918616, 'macd_lag_2': -0.5485918962415077, 'macd_lag_3': -0.596355751489515, 'macd_lag_4': -0.6007908642400785, 'macd_lag_5': -0.6262220654930317, 'macd_12_26_9': -0.49565376082261636, 'macds_12_26_9': -0.57135691797941}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 26.26300048828125, '2022-07-13': 25.902999877929688, '2022-07-14': 25.42399978637696, '2022-07-15': 26.59000015258789, '2022-07-18': 26.76000022888184, '2022-07-19': 27.63999938964844, '2022-07-20': 27.729999542236328, '2022-07-21': 27.802000045776367, '2022-07-22': 27.597000122070312, '2022-07-25': 28.02899932861328}, '1_month_later': {'2022-08-11': 29.72100067138672}, '3_months_later': {'2022-10-11': 25.84000015258789}, '6_months_later': {'2023-01-11': 27.375}, '12_months_later': {'2023-07-11': 21.815000534057617}}
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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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FTXR
|
{'date': '2022-07-11', 'ticker': 'FTXR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.3799991607666, 'high': 25.709999084472656, 'open': 25.709999084472656, 'close': 25.38500022888184, 'ema_50': 27.19001107774617, 'rsi_14': 52.57991250107422, 'target': 25.540000915527344, 'volume': 76700.0, 'ema_200': 29.99065890839406, 'adj_close': 24.718042373657227, 'rsi_lag_1': 61.22507201463272, 'rsi_lag_2': 46.81917421364465, 'rsi_lag_3': 43.52152474897097, 'rsi_lag_4': 49.13457455435015, 'rsi_lag_5': 39.3080686963973, 'macd_lag_1': -0.5171655307705052, 'macd_lag_2': -0.5661756242569815, 'macd_lag_3': -0.6298622199932282, 'macd_lag_4': -0.6439515100600346, 'macd_lag_5': -0.6617316520442884, 'macd_12_26_9': -0.5145945400260707, 'macds_12_26_9': -0.5943761704754299}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.540000915527344, '2022-07-13': 25.280000686645508, '2022-07-14': 25.15999984741211, '2022-07-15': 25.68400001525879, '2022-07-18': 25.809999465942383, '2022-07-19': 26.8700008392334, '2022-07-20': 27.14999961853028, '2022-07-21': 27.270000457763672, '2022-07-22': 27.01000022888184, '2022-07-25': 27.06999969482422}, '1_month_later': {'2022-08-11': 29.809999465942383}, '3_months_later': {'2022-10-11': 23.850000381469727}, '6_months_later': {'2023-01-11': 27.270000457763672}, '12_months_later': {'2023-07-11': 30.600000381469727}}
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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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FUL
|
{'date': '2022-07-11', 'ticker': 'FUL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/fuller-about-to-put-more-money-in-your-pocket-ful', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel, on 7/13/22, Fuller Company (Symbol: FUL) will trade ex-dividend, for its quarterly dividend of $0.19, payable on 7/28/22. As a percentage of FUL's recent stock price of $59.84, this dividend works out to approximately 0.32%.\nIn general, dividends are not always predictable; but looking at the history above can help in judging whether the most recent dividend from FUL is likely to continue, and whether the current estimated yield of 1.27% on annualized basis is a reasonable expectation of annual yield going forward. The chart below shows the one year performance of FUL shares, versus its 200 day moving average:\nLooking at the chart above, FUL's low point in its 52 week range is $57.39 per share, with $81.73 as the 52 week high point — that compares with a last trade of $59.84.\nIn Monday trading, Fuller Company shares are currently down about 0.5% on the day.\nClick here to learn which 25 S.A.F.E. dividend stocks should be on your radar screen »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "As a percentage of FUL's recent stock price of $59.84, this dividend works out to approximately 0.32%. In general, dividends are not always predictable; but looking at the history above can help in judging whether the most recent dividend from FUL is likely to continue, and whether the current estimated yield of 1.27% on annualized basis is a reasonable expectation of annual yield going forward. The chart below shows the one year performance of FUL shares, versus its 200 day moving average: Looking at the chart above, FUL's low point in its 52 week range is $57.39 per share, with $81.73 as the 52 week high point — that compares with a last trade of $59.84.", 'news_luhn_summary': "Looking at the universe of stocks we cover at Dividend Channel, on 7/13/22, Fuller Company (Symbol: FUL) will trade ex-dividend, for its quarterly dividend of $0.19, payable on 7/28/22. The chart below shows the one year performance of FUL shares, versus its 200 day moving average: Looking at the chart above, FUL's low point in its 52 week range is $57.39 per share, with $81.73 as the 52 week high point — that compares with a last trade of $59.84. In Monday trading, Fuller Company shares are currently down about 0.5% on the day.", 'news_article_title': 'Fuller About To Put More Money In Your Pocket (FUL)', 'news_lexrank_summary': "As a percentage of FUL's recent stock price of $59.84, this dividend works out to approximately 0.32%. In general, dividends are not always predictable; but looking at the history above can help in judging whether the most recent dividend from FUL is likely to continue, and whether the current estimated yield of 1.27% on annualized basis is a reasonable expectation of annual yield going forward. In Monday trading, Fuller Company shares are currently down about 0.5% on the day.", 'news_textrank_summary': "Looking at the universe of stocks we cover at Dividend Channel, on 7/13/22, Fuller Company (Symbol: FUL) will trade ex-dividend, for its quarterly dividend of $0.19, payable on 7/28/22. In general, dividends are not always predictable; but looking at the history above can help in judging whether the most recent dividend from FUL is likely to continue, and whether the current estimated yield of 1.27% on annualized basis is a reasonable expectation of annual yield going forward. The chart below shows the one year performance of FUL shares, versus its 200 day moving average: Looking at the chart above, FUL's low point in its 52 week range is $57.39 per share, with $81.73 as the 52 week high point — that compares with a last trade of $59.84."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 59.20000076293945, 'high': 60.31999969482422, 'open': 59.5, 'close': 59.400001525878906, 'ema_50': 64.6958726942044, 'rsi_14': 46.416944485518385, 'target': 59.43999862670898, 'volume': 179500.0, 'ema_200': 67.37678250013992, 'adj_close': 58.37749099731445, 'rsi_lag_1': 47.97979749327851, 'rsi_lag_2': 38.90782930038403, 'rsi_lag_3': 34.71916465033864, 'rsi_lag_4': 31.315775340273717, 'rsi_lag_5': 26.488570976108548, 'macd_lag_1': -2.0010662113456164, 'macd_lag_2': -2.0718860286074943, 'macd_lag_3': -2.194250108690426, 'macd_lag_4': -2.2024421405602155, 'macd_lag_5': -2.1900262820020657, 'macd_12_26_9': -1.9826054860111526, 'macds_12_26_9': -2.002924166480281}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 59.43999862670898, '2022-07-13': 58.650001525878906, '2022-07-14': 58.58000183105469, '2022-07-15': 58.959999084472656, '2022-07-18': 58.52000045776367, '2022-07-19': 60.68000030517578, '2022-07-20': 61.209999084472656, '2022-07-21': 62.38999938964844, '2022-07-22': 62.41999816894531, '2022-07-25': 62.7599983215332}, '1_month_later': {'2022-08-11': 67.04000091552734}, '3_months_later': {'2022-10-11': 64.55000305175781}, '6_months_later': {'2023-01-11': 74.37999725341797}, '12_months_later': {'2023-07-11': 69.91000366210938}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTK
|
{'date': '2022-07-11', 'ticker': 'FTK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.519999980926514, 'high': 6.0, 'open': 5.880000114440918, 'close': 5.699999809265137, 'ema_50': 6.984906169132757, 'rsi_14': 28.571425327638224, 'target': 5.820000171661377, 'volume': 8917.0, 'ema_200': 7.4708627058976385, 'adj_close': 5.699999809265137, 'rsi_lag_1': 26.315788372951957, 'rsi_lag_2': 25.641025118521554, 'rsi_lag_3': 23.6841956664272, 'rsi_lag_4': 18.42104107388782, 'rsi_lag_5': 15.909079415079617, 'macd_lag_1': -0.4660348454525991, 'macd_lag_2': -0.47393543978535213, 'macd_lag_3': -0.48934403486648126, 'macd_lag_4': -0.47134779993351383, 'macd_lag_5': -0.4293039219085699, 'macd_12_26_9': -0.4688929814115834, 'macds_12_26_9': -0.42896691412901766}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 5.820000171661377, '2022-07-13': 5.639999866485596, '2022-07-14': 5.579999923706055, '2022-07-15': 5.820000171661377, '2022-07-18': 5.940000057220459, '2022-07-19': 6.059999942779541, '2022-07-20': 6.539999961853027, '2022-07-21': 6.599999904632568, '2022-07-22': 6.239999771118164, '2022-07-25': 6.360000133514404}, '1_month_later': {'2022-08-11': 7.440000057220459}, '3_months_later': {'2022-10-11': 6.239999771118164}, '6_months_later': {'2023-01-11': 7.139999866485596}, '12_months_later': {'2023-07-11': 4.739999771118164}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FULC
|
{'date': '2022-07-11', 'ticker': 'FULC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.579999923706055, 'high': 5.860000133514404, 'open': 5.849999904632568, 'close': 5.690000057220459, 'ema_50': 7.446019748718562, 'rsi_14': 69.3661977151774, 'target': 5.25, 'volume': 179200.0, 'ema_200': 12.335531578298312, 'adj_close': 5.690000057220459, 'rsi_lag_1': 77.73851125706409, 'rsi_lag_2': 75.88652830045748, 'rsi_lag_3': 72.35772562591188, 'rsi_lag_4': 76.4462897038427, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.5398505511303116, 'macd_lag_2': -0.636374259517801, 'macd_lag_3': -0.7442081730018391, 'macd_lag_4': -0.8201095218778001, 'macd_lag_5': -0.9162583913554556, 'macd_12_26_9': -0.47721970093152866, 'macds_12_26_9': -0.7625264945284042}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 5.25, '2022-07-13': 5.25, '2022-07-14': 5.159999847412109, '2022-07-15': 5.389999866485596, '2022-07-18': 5.170000076293945, '2022-07-19': 5.570000171661377, '2022-07-20': 5.920000076293945, '2022-07-21': 5.800000190734863, '2022-07-22': 5.610000133514404, '2022-07-25': 5.96999979019165}, '1_month_later': {'2022-08-11': 7.570000171661377}, '3_months_later': {'2022-10-11': 7.519999980926514}, '6_months_later': {'2023-01-11': 13.140000343322754}, '12_months_later': {'2023-07-11': 3.509999990463257}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FUN
|
{'date': '2022-07-11', 'ticker': 'FUN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/implied-pej-analyst-target-price%3A-%2453', 'news_author': None, 'news_article': "Looking at the underlying holdings of the ETFs in our coverage universe at ETF Channel, we have compared the trading price of each holding against the average analyst 12-month forward target price, and computed the weighted average implied analyst target price for the ETF itself. For the Invesco Dynamic Leisure and Entertainment ETF (Symbol: PEJ), we found that the implied analyst target price for the ETF based upon its underlying holdings is $53.34 per unit.\nWith PEJ trading at a recent price near $36.88 per unit, that means that analysts see 44.63% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Although EVRI has traded at a recent price of $17.48/share, the average analyst target is 65.90% higher at $29.00/share. Similarly, GDEN has 63.68% upside from the recent share price of $39.61 if the average analyst target price of $64.83/share is reached, and analysts on average are expecting FUN to reach a target price of $64.71/share, which is 51.45% above the recent price of $42.73. Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN:\nCombined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF. Below is a summary table of the current analyst target prices discussed above:\nNAME SYMBOL RECENT PRICE AVG. ANALYST 12-MO. TARGET % UPSIDE TO TARGET\nInvesco Dynamic Leisure and Entertainment ETF PEJ $36.88 $53.34 44.63%\nEveri Holdings Inc EVRI $17.48 $29.00 65.90%\nGolden Entertainment Inc GDEN $39.61 $64.83 63.68%\nCedar Fair LP FUN $42.73 $64.71 51.45%\nAre analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Do the analysts have a valid justification for their targets, or are they behind the curve on recent company and industry developments? A high price target relative to a stock's trading price can reflect optimism about the future, but can also be a precursor to target price downgrades if the targets were a relic of the past. These are questions that require further investor research.\n10 ETFs With Most Upside To Analyst Targets »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF. Invesco Dynamic Leisure and Entertainment ETF PEJ $36.88 $53.34 44.63% Everi Holdings Inc EVRI $17.48 $29.00 65.90% Golden Entertainment Inc GDEN $39.61 $64.83 63.68% Cedar Fair LP FUN $42.73 $64.71 51.45% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN).", 'news_luhn_summary': "Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF. Invesco Dynamic Leisure and Entertainment ETF PEJ $36.88 $53.34 44.63% Everi Holdings Inc EVRI $17.48 $29.00 65.90% Golden Entertainment Inc GDEN $39.61 $64.83 63.68% Cedar Fair LP FUN $42.73 $64.71 51.45% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now?", 'news_article_title': 'Implied PEJ Analyst Target Price: $53', 'news_lexrank_summary': "Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Similarly, GDEN has 63.68% upside from the recent share price of $39.61 if the average analyst target price of $64.83/share is reached, and analysts on average are expecting FUN to reach a target price of $64.71/share, which is 51.45% above the recent price of $42.73. Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF.", 'news_textrank_summary': "Similarly, GDEN has 63.68% upside from the recent share price of $39.61 if the average analyst target price of $64.83/share is reached, and analysts on average are expecting FUN to reach a target price of $64.71/share, which is 51.45% above the recent price of $42.73. Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 40.84999847412109, 'high': 42.720001220703125, 'open': 42.720001220703125, 'close': 40.900001525878906, 'ema_50': 46.04030186728985, 'rsi_14': 48.61779052808366, 'target': 41.77999877929688, 'volume': 315100.0, 'ema_200': 48.46265999627555, 'adj_close': 39.19540023803711, 'rsi_lag_1': 58.798283362183305, 'rsi_lag_2': 58.5112808239376, 'rsi_lag_3': 64.89899719677487, 'rsi_lag_4': 64.16979359197398, 'rsi_lag_5': 49.72376109792476, 'macd_lag_1': -0.34971289745186596, 'macd_lag_2': -0.2214626060193723, 'macd_lag_3': -0.3284380926774304, 'macd_lag_4': -0.5864551488350287, 'macd_lag_5': -0.9601939813199678, 'macd_12_26_9': -0.5921913105918648, 'macds_12_26_9': -0.7906489593486026}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 41.77999877929688, '2022-07-13': 41.68000030517578, '2022-07-14': 40.16999816894531, '2022-07-15': 40.11000061035156, '2022-07-18': 39.84000015258789, '2022-07-19': 40.27999877929688, '2022-07-20': 40.900001525878906, '2022-07-21': 40.5099983215332, '2022-07-22': 41.5099983215332, '2022-07-25': 42.0}, '1_month_later': {'2022-08-11': 43.619998931884766}, '3_months_later': {'2022-10-11': 38.34000015258789}, '6_months_later': {'2023-01-11': 42.43999862670898}, '12_months_later': {'2023-07-11': 38.150001525878906}}
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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.
|
FUNC
|
{'date': '2022-07-11', 'ticker': 'FUNC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.479999542236328, 'high': 17.979999542236328, 'open': 17.479999542236328, 'close': 17.649999618530273, 'ema_50': 19.560547896603918, 'rsi_14': 47.117286422404646, 'target': 17.719999313354492, 'volume': 4400.0, 'ema_200': 20.064752898493513, 'adj_close': 16.57514190673828, 'rsi_lag_1': 50.0, 'rsi_lag_2': 48.073016269727816, 'rsi_lag_3': 43.74999743083289, 'rsi_lag_4': 33.02411151660475, 'rsi_lag_5': 27.987407897684548, 'macd_lag_1': -0.6422614570805436, 'macd_lag_2': -0.6788575174032658, 'macd_lag_3': -0.7411476523256795, 'macd_lag_4': -0.7752539886020564, 'macd_lag_5': -0.7820551088878709, 'macd_12_26_9': -0.6333926304577204, 'macds_12_26_9': -0.7115527623636002}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 17.719999313354492, '2022-07-13': 17.540000915527344, '2022-07-14': 17.40999984741211, '2022-07-15': 17.15999984741211, '2022-07-18': 17.0, '2022-07-19': 17.309999465942383, '2022-07-20': 17.75, '2022-07-21': 17.899999618530273, '2022-07-22': 18.0, '2022-07-25': 18.709999084472656}, '1_month_later': {'2022-08-11': 18.76000022888184}, '3_months_later': {'2022-10-11': 17.010000228881836}, '6_months_later': {'2023-01-11': 19.25}, '12_months_later': {'2023-07-11': 14.100000381469728}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FUSB
|
{'date': '2022-07-11', 'ticker': 'FUSB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.649999618530272, 'high': 10.720000267028809, 'open': 10.670000076293944, 'close': 10.649999618530272, 'ema_50': 10.895951106337824, 'rsi_14': 45.88234238145962, 'target': 10.720000267028809, 'volume': 1300.0, 'ema_200': 10.911347821825697, 'adj_close': 10.312395095825195, 'rsi_lag_1': 54.39560094067931, 'rsi_lag_2': 51.351356924322104, 'rsi_lag_3': 46.42857345594106, 'rsi_lag_4': 44.827601326594746, 'rsi_lag_5': 46.70656870280877, 'macd_lag_1': -0.07684480994141829, 'macd_lag_2': -0.08613457326752716, 'macd_lag_3': -0.09266609945847293, 'macd_lag_4': -0.08132762474263977, 'macd_lag_5': -0.06567266065453836, 'macd_12_26_9': -0.07587028036311416, 'macds_12_26_9': -0.08663586979498214}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 10.720000267028809, '2022-07-13': 10.399999618530272, '2022-07-14': 10.100000381469728, '2022-07-15': 10.260000228881836, '2022-07-18': 10.18000030517578, '2022-07-19': 10.15999984741211, '2022-07-20': 10.010000228881836, '2022-07-21': 10.020000457763672, '2022-07-22': 10.0, '2022-07-25': 10.0}, '1_month_later': {'2022-08-11': 8.350000381469727}, '3_months_later': {'2022-10-11': 7.46999979019165}, '6_months_later': {'2023-01-11': 8.75}, '12_months_later': {'2023-07-11': 8.5}}
|
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.
|
FUTU
|
{'date': '2022-07-11', 'ticker': 'FUTU', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 46.20000076293945, 'high': 49.09999847412109, 'open': 49.09999847412109, 'close': 46.81999969482422, 'ema_50': 43.78338238367691, 'rsi_14': 53.47394150451446, 'target': 47.220001220703125, 'volume': 3600100.0, 'ema_200': 51.63522824912699, 'adj_close': 46.81999969482422, 'rsi_lag_1': 65.12406845678518, 'rsi_lag_2': 62.005107942401, 'rsi_lag_3': 60.16069490572578, 'rsi_lag_4': 78.00845862359711, 'rsi_lag_5': 65.23076124022228, 'macd_lag_1': 3.54711788687316, 'macd_lag_2': 3.802022929060783, 'macd_lag_3': 3.9926538580054327, 'macd_lag_4': 4.412075018969958, 'macd_lag_5': 4.253996905798111, 'macd_12_26_9': 2.9400315181424403, 'macds_12_26_9': 3.741917606879772}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 47.220001220703125, '2022-07-13': 47.22999954223633, '2022-07-14': 46.38999938964844, '2022-07-15': 45.65999984741211, '2022-07-18': 46.13999938964844, '2022-07-19': 46.63999938964844, '2022-07-20': 45.060001373291016, '2022-07-21': 46.9900016784668, '2022-07-22': 44.650001525878906, '2022-07-25': 44.59000015258789}, '1_month_later': {'2022-08-11': 40.9900016784668}, '3_months_later': {'2022-10-11': 35.08000183105469}, '6_months_later': {'2023-01-11': 49.2400016784668}, '12_months_later': {'2023-07-11': 43.41999816894531}}
|
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.
|
futy
|
{'date': '2022-07-11', 'ticker': 'futy', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.68999862670898, 'high': 45.290000915527344, 'open': 44.880001068115234, 'close': 45.20000076293945, 'ema_50': 45.52616002221451, 'rsi_14': 74.25874410252163, 'target': 45.0099983215332, 'volume': 186200.0, 'ema_200': 44.99173264532956, 'adj_close': 43.4990348815918, 'rsi_lag_1': 67.73365726474304, 'rsi_lag_2': 61.871323060284595, 'rsi_lag_3': 63.20540050176544, 'rsi_lag_4': 54.35465438599647, 'rsi_lag_5': 51.03447731553794, 'macd_lag_1': -0.23725059238151402, 'macd_lag_2': -0.2692478738607491, 'macd_lag_3': -0.3194081800825259, 'macd_lag_4': -0.3787850337680325, 'macd_lag_5': -0.4062980518281947, 'macd_12_26_9': -0.191927831823115, 'macds_12_26_9': -0.40753896764757463}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 45.0099983215332, '2022-07-13': 44.84000015258789, '2022-07-14': 44.84000015258789, '2022-07-15': 44.959999084472656, '2022-07-18': 44.400001525878906, '2022-07-19': 44.7400016784668, '2022-07-20': 44.15999984741211, '2022-07-21': 44.22999954223633, '2022-07-22': 44.79999923706055, '2022-07-25': 45.400001525878906}, '1_month_later': {'2022-08-11': 48.619998931884766}, '3_months_later': {'2022-10-11': 41.13999938964844}, '6_months_later': {'2023-01-11': 46.68000030517578}, '12_months_later': {'2023-07-11': 42.52999877929688}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FUV
|
{'date': '2022-07-11', 'ticker': 'FUV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.380001068115234, 'high': 64.19999694824219, 'open': 63.59999847412109, 'close': 59.0, 'ema_50': 74.71456244971156, 'rsi_14': 46.473026122930165, 'target': 61.20000076293945, 'volume': 28210.0, 'ema_200': 130.091431521105, 'adj_close': 59.0, 'rsi_lag_1': 52.4886894620507, 'rsi_lag_2': 39.73214346535369, 'rsi_lag_3': 42.22221958489976, 'rsi_lag_4': 36.53845758833008, 'rsi_lag_5': 41.69610926374569, 'macd_lag_1': -3.6250727755593175, 'macd_lag_2': -3.889488386590301, 'macd_lag_3': -3.6205865320900017, 'macd_lag_4': -3.3265250882428603, 'macd_lag_5': -3.371173415995827, 'macd_12_26_9': -3.7595040989266835, 'macds_12_26_9': -3.5952874583827366}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 61.20000076293945, '2022-07-13': 63.0, '2022-07-14': 64.80000305175781, '2022-07-15': 66.19999694824219, '2022-07-18': 67.19999694824219, '2022-07-19': 65.19999694824219, '2022-07-20': 61.400001525878906, '2022-07-21': 61.400001525878906, '2022-07-22': 57.79999923706055, '2022-07-25': 55.0}, '1_month_later': {'2022-08-11': 64.5999984741211}, '3_months_later': {'2022-10-11': 18.200000762939453}, '6_months_later': {'2023-01-11': 4.429999828338623}, '12_months_later': {'2023-07-11': 1.399999976158142}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FV
|
{'date': '2022-07-11', 'ticker': 'FV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 41.02999877929688, 'high': 41.50199890136719, 'open': 41.290000915527344, 'close': 41.20000076293945, 'ema_50': 44.659115816534275, 'rsi_14': 46.80202577805283, 'target': 40.83000183105469, 'volume': 70900.0, 'ema_200': 46.29687378508799, 'adj_close': 40.624141693115234, 'rsi_lag_1': 44.58412806162541, 'rsi_lag_2': 37.207432102079935, 'rsi_lag_3': 29.020979837121715, 'rsi_lag_4': 29.82142790239682, 'rsi_lag_5': 26.892106434336625, 'macd_lag_1': -1.4324588872882416, 'macd_lag_2': -1.5019758265493266, 'macd_lag_3': -1.5861670916999913, 'macd_lag_4': -1.5392086919411483, 'macd_lag_5': -1.483356764376822, 'macd_12_26_9': -1.3951738584692066, 'macds_12_26_9': -1.4002067947827053}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 40.83000183105469, '2022-07-13': 40.9900016784668, '2022-07-14': 40.290000915527344, '2022-07-15': 40.959999084472656, '2022-07-18': 41.41999816894531, '2022-07-19': 42.66999816894531, '2022-07-20': 43.09999847412109, '2022-07-21': 42.84999847412109, '2022-07-22': 42.44300079345703, '2022-07-25': 43.56999969482422}, '1_month_later': {'2022-08-11': 46.50699996948242}, '3_months_later': {'2022-10-11': 43.45000076293945}, '6_months_later': {'2023-01-11': 47.29999923706055}, '12_months_later': {'2023-07-11': 47.31999969482422}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FVC
|
{'date': '2022-07-11', 'ticker': 'FVC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 33.66999816894531, 'high': 34.2400016784668, 'open': 34.2400016784668, 'close': 33.77000045776367, 'ema_50': 35.10507317227383, 'rsi_14': 47.979557672090344, 'target': 33.619998931884766, 'volume': 20700.0, 'ema_200': 35.77818267275873, 'adj_close': 32.761138916015625, 'rsi_lag_1': 45.41050256290547, 'rsi_lag_2': 36.152728668146814, 'rsi_lag_3': 30.516744826694776, 'rsi_lag_4': 32.378428270871524, 'rsi_lag_5': 29.353540566045766, 'macd_lag_1': -0.5447366792700521, 'macd_lag_2': -0.5718263285167353, 'macd_lag_3': -0.5960486876226696, 'macd_lag_4': -0.5857136397703542, 'macd_lag_5': -0.5629848784679012, 'macd_12_26_9': -0.5308658771918573, 'macds_12_26_9': -0.5319734028963794}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 33.619998931884766, '2022-07-13': 33.70000076293945, '2022-07-14': 33.31999969482422, '2022-07-15': 33.630001068115234, '2022-07-18': 33.88999938964844, '2022-07-19': 34.27000045776367, '2022-07-20': 34.540000915527344, '2022-07-21': 34.31999969482422, '2022-07-22': 34.25, '2022-07-25': 34.6870002746582}, '1_month_later': {'2022-08-11': 35.869998931884766}, '3_months_later': {'2022-10-11': 34.45000076293945}, '6_months_later': {'2023-01-11': 35.415000915527344}, '12_months_later': {'2023-07-11': 33.790000915527344}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FVCB
|
{'date': '2022-07-11', 'ticker': 'FVCB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.928799629211426, 'high': 15.19200038909912, 'open': 15.071999549865724, 'close': 14.935999870300291, 'ema_50': 15.620179859101189, 'rsi_14': 51.30641659731672, 'target': 15.04800033569336, 'volume': 23875.0, 'ema_200': 15.812676399231986, 'adj_close': 14.935999870300291, 'rsi_lag_1': 52.048185780156466, 'rsi_lag_2': 45.87628549237062, 'rsi_lag_3': 53.038662934960875, 'rsi_lag_4': 58.71558930676072, 'rsi_lag_5': 39.30132004576801, 'macd_lag_1': -0.21224128755308058, 'macd_lag_2': -0.23211276495772282, 'macd_lag_3': -0.2231470932715336, 'macd_lag_4': -0.24103964716295145, 'macd_lag_5': -0.2953965587444092, 'macd_12_26_9': -0.21212270613610684, 'macds_12_26_9': -0.25328282541795905}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 15.04800033569336, '2022-07-13': 14.855999946594238, '2022-07-14': 14.760000228881836, '2022-07-15': 15.215999603271484, '2022-07-18': 14.984000205993652, '2022-07-19': 15.112000465393066, '2022-07-20': 15.039999961853027, '2022-07-21': 15.031999588012695, '2022-07-22': 15.031999588012695, '2022-07-25': 14.97599983215332}, '1_month_later': {'2022-08-11': 15.543999671936035}, '3_months_later': {'2022-10-11': 15.343999862670898}, '6_months_later': {'2023-01-11': 15.16800022125244}, '12_months_later': {'2023-07-11': 10.4399995803833}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FVD
|
{'date': '2022-07-11', 'ticker': 'FVD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 38.720001220703125, 'high': 39.0, 'open': 38.83000183105469, 'close': 38.83000183105469, 'ema_50': 39.684153106386674, 'rsi_14': 68.79433007866568, 'target': 38.68000030517578, 'volume': 839500.0, 'ema_200': 40.44610548332608, 'adj_close': 37.44178771972656, 'rsi_lag_1': 69.61721614730199, 'rsi_lag_2': 60.62500645717085, 'rsi_lag_3': 61.190969113478225, 'rsi_lag_4': 54.616870254580434, 'rsi_lag_5': 48.51656197884947, 'macd_lag_1': -0.2571545908308295, 'macd_lag_2': -0.28079223984050117, 'macd_lag_3': -0.3323327701788017, 'macd_lag_4': -0.3688467631641217, 'macd_lag_5': -0.3897231381564197, 'macd_12_26_9': -0.2452770929726782, 'macds_12_26_9': -0.36411421435838703}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 38.68000030517578, '2022-07-13': 38.4900016784668, '2022-07-14': 38.18999862670898, '2022-07-15': 38.720001220703125, '2022-07-18': 38.369998931884766, '2022-07-19': 39.209999084472656, '2022-07-20': 39.08000183105469, '2022-07-21': 39.29999923706055, '2022-07-22': 39.34999847412109, '2022-07-25': 39.5099983215332}, '1_month_later': {'2022-08-11': 41.209999084472656}, '3_months_later': {'2022-10-11': 35.939998626708984}, '6_months_later': {'2023-01-11': 41.060001373291016}, '12_months_later': {'2023-07-11': 40.040000915527344}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FWONK
|
{'date': '2022-07-11', 'ticker': 'FWONK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 57.90560531616211, 'high': 59.88692092895508, 'open': 59.56735610961914, 'close': 58.9478874206543, 'ema_50': 60.92473152488877, 'rsi_14': 49.11972504384982, 'target': 57.90560531616211, 'volume': 628099.0, 'ema_200': 58.54613880085669, 'adj_close': 58.9478874206543, 'rsi_lag_1': 57.41583251082674, 'rsi_lag_2': 52.71513348307032, 'rsi_lag_3': 60.05646565106619, 'rsi_lag_4': 64.0813326485695, 'rsi_lag_5': 58.407691359362644, 'macd_lag_1': 0.042285542903208295, 'macd_lag_2': 0.12666532376166373, 'macd_lag_3': 0.15843617670605425, 'macd_lag_4': 0.2787781488079446, 'macd_lag_5': 0.33921997296717166, 'macd_12_26_9': -0.11058826803726163, 'macds_12_26_9': 0.047392641825469935}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 57.90560531616211, '2022-07-13': 58.90855407714844, '2022-07-14': 58.22025680541992, '2022-07-15': 58.66273498535156, '2022-07-18': 59.23303985595703, '2022-07-19': 60.825958251953125, '2022-07-20': 61.85840606689453, '2022-07-21': 62.55653762817383, '2022-07-22': 62.46804428100586, '2022-07-25': 62.34021759033203}, '1_month_later': {'2022-08-11': 66.98131561279297}, '3_months_later': {'2022-10-11': 59.72468185424805}, '6_months_later': {'2023-01-11': 64.178955078125}, '12_months_later': {'2023-07-11': 72.11405944824219}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FWRD
|
{'date': '2022-07-11', 'ticker': 'FWRD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 90.62999725341795, 'high': 92.27999877929688, 'open': 91.25, 'close': 90.91999816894533, 'ema_50': 92.70656609229984, 'rsi_14': 62.63477513155598, 'target': 90.05000305175781, 'volume': 118800.0, 'ema_200': 95.66134121006158, 'adj_close': 89.44147491455078, 'rsi_lag_1': 61.59519288739808, 'rsi_lag_2': 53.61156115942237, 'rsi_lag_3': 51.631795984322366, 'rsi_lag_4': 56.08888207706637, 'rsi_lag_5': 47.363903004371316, 'macd_lag_1': -0.25672568273655827, 'macd_lag_2': -0.36913663624739, 'macd_lag_3': -0.5652809620378889, 'macd_lag_4': -0.6567189275294396, 'macd_lag_5': -0.9349293228834341, 'macd_12_26_9': -0.26384869996651616, 'macds_12_26_9': -0.6954984649391843}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 90.05000305175781, '2022-07-13': 87.56999969482422, '2022-07-14': 87.37000274658203, '2022-07-15': 89.2699966430664, '2022-07-18': 90.33000183105467, '2022-07-19': 95.75, '2022-07-20': 96.25, '2022-07-21': 97.4000015258789, '2022-07-22': 96.69000244140624, '2022-07-25': 95.75}, '1_month_later': {'2022-08-11': 108.5500030517578}, '3_months_later': {'2022-10-11': 96.58999633789062}, '6_months_later': {'2023-01-11': 103.01000213623048}, '12_months_later': {'2023-07-11': 109.05999755859376}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTI
|
{'date': '2022-07-11', 'ticker': 'FTI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.110000133514404, 'high': 6.300000190734863, 'open': 6.199999809265137, 'close': 6.170000076293945, 'ema_50': 7.160807939398924, 'rsi_14': 43.312099395965646, 'target': 5.889999866485596, 'volume': 4473800.0, 'ema_200': 7.290358174536651, 'adj_close': 6.1382012367248535, 'rsi_lag_1': 41.71779015474393, 'rsi_lag_2': 38.805968237230935, 'rsi_lag_3': 34.07643002580387, 'rsi_lag_4': 32.721708168032194, 'rsi_lag_5': 32.32627998384227, 'macd_lag_1': -0.3649161243384951, 'macd_lag_2': -0.37316256673127857, 'macd_lag_3': -0.3721511216953308, 'macd_lag_4': -0.34202885904639757, 'macd_lag_5': -0.3057341747886415, 'macd_12_26_9': -0.36945334783366235, 'macds_12_26_9': -0.3367264943853831}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 5.889999866485596, '2022-07-13': 5.820000171661377, '2022-07-14': 5.619999885559082, '2022-07-15': 5.940000057220459, '2022-07-18': 6.130000114440918, '2022-07-19': 6.429999828338623, '2022-07-20': 6.329999923706055, '2022-07-21': 6.119999885559082, '2022-07-22': 6.21999979019165, '2022-07-25': 6.480000019073486}, '1_month_later': {'2022-08-11': 8.760000228881836}, '3_months_later': {'2022-10-11': 9.329999923706056}, '6_months_later': {'2023-01-11': 12.470000267028809}, '12_months_later': {'2023-07-11': 18.09000015258789}}
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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.
|
FTHY
|
{'date': '2022-07-11', 'ticker': 'FTHY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.380000114440918, 'high': 14.6899995803833, 'open': 14.5, 'close': 14.489999771118164, 'ema_50': 15.206098731798864, 'rsi_14': 69.99998637607757, 'target': 14.81999969482422, 'volume': 153100.0, 'ema_200': 17.468583126909717, 'adj_close': 12.380511283874512, 'rsi_lag_1': 72.18541206013334, 'rsi_lag_2': 52.15311550602731, 'rsi_lag_3': 52.830188679245246, 'rsi_lag_4': 47.257379212216044, 'rsi_lag_5': 39.024380518314025, 'macd_lag_1': -0.2319414084280833, 'macd_lag_2': -0.24952799561530803, 'macd_lag_3': -0.2764909217495042, 'macd_lag_4': -0.29262915365157305, 'macd_lag_5': -0.3130437053421371, 'macd_12_26_9': -0.21472179726315233, 'macds_12_26_9': -0.28539140141268204}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 14.81999969482422, '2022-07-13': 14.829999923706056, '2022-07-14': 14.81999969482422, '2022-07-15': 15.079999923706056, '2022-07-18': 14.270000457763672, '2022-07-19': 14.65999984741211, '2022-07-20': 14.609999656677246, '2022-07-21': 15.09000015258789, '2022-07-22': 15.170000076293944, '2022-07-25': 15.220000267028809}, '1_month_later': {'2022-08-11': 16.06999969482422}, '3_months_later': {'2022-10-11': 13.43000030517578}, '6_months_later': {'2023-01-11': 14.43000030517578}, '12_months_later': {'2023-07-11': 13.550000190734863}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTHI
|
{'date': '2022-07-11', 'ticker': 'FTHI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.18000030517578, 'high': 20.34000015258789, 'open': 20.25, 'close': 20.229999542236328, 'ema_50': 20.91815272950894, 'rsi_14': 60.51501689190572, 'target': 20.07999992370605, 'volume': 7200.0, 'ema_200': 21.590748267882816, 'adj_close': 17.732940673828125, 'rsi_lag_1': 61.57207240598382, 'rsi_lag_2': 46.545479514382045, 'rsi_lag_3': 47.12230363905801, 'rsi_lag_4': 46.12673928023114, 'rsi_lag_5': 36.694685653256556, 'macd_lag_1': -0.2984307323543405, 'macd_lag_2': -0.33315877476991673, 'macd_lag_3': -0.3594021612692728, 'macd_lag_4': -0.3662886785245476, 'macd_lag_5': -0.37585957993869457, 'macd_12_26_9': -0.27579847049522854, 'macds_12_26_9': -0.33604844459987915}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 20.07999992370605, '2022-07-13': 20.15999984741211, '2022-07-14': 20.09000015258789, '2022-07-15': 20.36000061035156, '2022-07-18': 20.299999237060547, '2022-07-19': 20.670000076293945, '2022-07-20': 20.790000915527344, '2022-07-21': 20.739999771118164, '2022-07-22': 20.559999465942383, '2022-07-25': 20.75}, '1_month_later': {'2022-08-11': 21.3700008392334}, '3_months_later': {'2022-10-11': 18.520000457763672}, '6_months_later': {'2023-01-11': 20.040000915527344}, '12_months_later': {'2023-07-11': 20.979999542236328}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FRPT
|
{'date': '2022-07-11', 'ticker': 'FRPT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.869998931884766, 'high': 52.970001220703125, 'open': 52.630001068115234, 'close': 48.040000915527344, 'ema_50': 64.98568596552485, 'rsi_14': 40.75848682733779, 'target': 47.72999954223633, 'volume': 753600.0, 'ema_200': 93.6013449951228, 'adj_close': 48.040000915527344, 'rsi_lag_1': 44.89885683208318, 'rsi_lag_2': 41.10320417553171, 'rsi_lag_3': 46.81514473587177, 'rsi_lag_4': 44.91453611491042, 'rsi_lag_5': 36.16103560104853, 'macd_lag_1': -3.97625418782188, 'macd_lag_2': -4.132022604700026, 'macd_lag_3': -4.171974228471896, 'macd_lag_4': -4.294647325445482, 'macd_lag_5': -4.414209753576188, 'macd_12_26_9': -4.1686719132069285, 'macds_12_26_9': -4.320773113760461}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 47.72999954223633, '2022-07-13': 47.720001220703125, '2022-07-14': 45.86000061035156, '2022-07-15': 46.65999984741211, '2022-07-18': 46.540000915527344, '2022-07-19': 49.54999923706055, '2022-07-20': 51.63999938964844, '2022-07-21': 50.18999862670898, '2022-07-22': 48.290000915527344, '2022-07-25': 47.95000076293945}, '1_month_later': {'2022-08-11': 48.68999862670898}, '3_months_later': {'2022-10-11': 58.150001525878906}, '6_months_later': {'2023-01-11': 59.84000015258789}, '12_months_later': {'2023-07-11': 67.05999755859375}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FRSX
|
{'date': '2022-07-11', 'ticker': 'FRSX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.911999940872192, 'high': 4.302000045776367, 'open': 4.013999938964844, 'close': 4.019999980926514, 'ema_50': 4.479721114395325, 'rsi_14': 68.53706822775324, 'target': 4.050000190734863, 'volume': 18800.0, 'ema_200': 9.203773649747632, 'adj_close': 4.019999980926514, 'rsi_lag_1': 65.76922721293855, 'rsi_lag_2': 61.732853875822094, 'rsi_lag_3': 54.240633312467125, 'rsi_lag_4': 54.24063331246713, 'rsi_lag_5': 46.218487843925466, 'macd_lag_1': -0.11185068485185568, 'macd_lag_2': -0.130575978726426, 'macd_lag_3': -0.17090427974457256, 'macd_lag_4': -0.17896104793083012, 'macd_lag_5': -0.1909177133505402, 'macd_12_26_9': -0.10069153910516881, 'macds_12_26_9': -0.16625093808741329}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 4.050000190734863, '2022-07-13': 3.9059998989105225, '2022-07-14': 3.888000011444092, '2022-07-15': 3.9059998989105225, '2022-07-18': 3.941999912261963, '2022-07-19': 4.085999965667725, '2022-07-20': 4.199999809265137, '2022-07-21': 4.176000118255615, '2022-07-22': 4.1579999923706055, '2022-07-25': 3.869999885559082}, '1_month_later': {'2022-08-11': 4.9079999923706055}, '3_months_later': {'2022-10-11': 3.065999984741211}, '6_months_later': {'2023-01-11': 3.390000104904175}, '12_months_later': {'2023-07-11': 2.3499999046325684}}
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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.
|
FRT
|
{'date': '2022-07-11', 'ticker': 'FRT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 95.88999938964844, 'high': 97.4000015258789, 'open': 96.37000274658205, 'close': 97.37999725341795, 'ema_50': 105.29182207929975, 'rsi_14': 58.91782882840633, 'target': 98.8000030517578, 'volume': 405000.0, 'ema_200': 114.74303969238201, 'adj_close': 92.14463806152344, 'rsi_lag_1': 59.986984860841744, 'rsi_lag_2': 54.36321767932337, 'rsi_lag_3': 55.56830041786502, 'rsi_lag_4': 50.10615960589538, 'rsi_lag_5': 40.56725083310278, 'macd_lag_1': -3.062620379187706, 'macd_lag_2': -3.230580583490365, 'macd_lag_3': -3.4478600859807784, 'macd_lag_4': -3.6434728851318425, 'macd_lag_5': -3.8157138334080116, 'macd_12_26_9': -2.8594308861244144, 'macds_12_26_9': -3.5263744017913137}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 98.8000030517578, '2022-07-13': 96.9800033569336, '2022-07-14': 95.0, '2022-07-15': 97.06999969482422, '2022-07-18': 98.43000030517578, '2022-07-19': 100.94000244140624, '2022-07-20': 102.36000061035156, '2022-07-21': 102.29000091552734, '2022-07-22': 102.66000366210938, '2022-07-25': 103.0999984741211}, '1_month_later': {'2022-08-11': 109.8499984741211}, '3_months_later': {'2022-10-11': 90.76000213623048}, '6_months_later': {'2023-01-11': 107.06999969482422}, '12_months_later': {'2023-07-11': 99.68000030517578}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSBW
|
{'date': '2022-07-11', 'ticker': 'FSBW', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.059999465942383, 'high': 28.39999961853028, 'open': 28.26000022888184, 'close': 28.15999984741211, 'ema_50': 29.344207047501808, 'rsi_14': 47.05881658223355, 'target': 28.040000915527344, 'volume': 48200.0, 'ema_200': 31.277216861751405, 'adj_close': 26.916444778442383, 'rsi_lag_1': 46.769217406512034, 'rsi_lag_2': 42.10524647312456, 'rsi_lag_3': 45.23810064441132, 'rsi_lag_4': 45.78312422406278, 'rsi_lag_5': 43.181825570822745, 'macd_lag_1': -0.2469525339083134, 'macd_lag_2': -0.22043286921481453, 'macd_lag_3': -0.20068693594919296, 'macd_lag_4': -0.2020922280027726, 'macd_lag_5': -0.22538270869405963, 'macd_12_26_9': -0.2760838175699547, 'macds_12_26_9': -0.23712778642507917}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 28.040000915527344, '2022-07-13': 27.790000915527344, '2022-07-14': 27.51000022888184, '2022-07-15': 27.75, '2022-07-18': 28.280000686645508, '2022-07-19': 28.270000457763672, '2022-07-20': 28.32999992370605, '2022-07-21': 28.170000076293945, '2022-07-22': 28.25, '2022-07-25': 28.25}, '1_month_later': {'2022-08-11': 30.82999992370605}, '3_months_later': {'2022-10-11': 27.059999465942383}, '6_months_later': {'2023-01-11': 33.529998779296875}, '12_months_later': {'2023-07-11': 30.51000022888184}}
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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.
|
FSD
|
{'date': '2022-07-11', 'ticker': 'FSD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 11.5600004196167, 'open': 11.510000228881836, 'close': 11.40999984741211, 'ema_50': 12.012610242504289, 'rsi_14': 50.0, 'target': 11.449999809265137, 'volume': 101100.0, 'ema_200': 13.503389904678743, 'adj_close': 9.74476432800293, 'rsi_lag_1': 69.30692508377695, 'rsi_lag_2': 48.062010919185454, 'rsi_lag_3': 43.697507949941, 'rsi_lag_4': 42.62295722703485, 'rsi_lag_5': 31.325335121182476, 'macd_lag_1': -0.18465869920952294, 'macd_lag_2': -0.21044621232920235, 'macd_lag_3': -0.23215397375437163, 'macd_lag_4': -0.23612056904816647, 'macd_lag_5': -0.23774890603699994, 'macd_12_26_9': -0.17910257431882393, 'macds_12_26_9': -0.2152132441680503}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.449999809265137, '2022-07-13': 11.470000267028809, '2022-07-14': 11.489999771118164, '2022-07-15': 11.609999656677246, '2022-07-18': 11.529999732971191, '2022-07-19': 11.710000038146973, '2022-07-20': 11.84000015258789, '2022-07-21': 12.029999732971191, '2022-07-22': 11.93000030517578, '2022-07-25': 12.020000457763672}, '1_month_later': {'2022-08-11': 12.539999961853027}, '3_months_later': {'2022-10-11': 10.880000114440918}, '6_months_later': {'2023-01-11': 11.869999885559082}, '12_months_later': {'2023-07-11': 11.31999969482422}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSFG
|
{'date': '2022-07-11', 'ticker': 'FSFG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.26000022888184, 'high': 23.68000030517578, 'open': 23.559999465942383, 'close': 23.26000022888184, 'ema_50': 24.2229351128169, 'rsi_14': 31.122464371037623, 'target': 23.280000686645508, 'volume': 10100.0, 'ema_200': 25.237510068742566, 'adj_close': 22.26770401000977, 'rsi_lag_1': 50.0, 'rsi_lag_2': 48.325366274793254, 'rsi_lag_3': 50.246310972888494, 'rsi_lag_4': 49.03844037706783, 'rsi_lag_5': 43.4782861085496, 'macd_lag_1': -0.1820911500983513, 'macd_lag_2': -0.17614446688563845, 'macd_lag_3': -0.17210127187175317, 'macd_lag_4': -0.17156463520891307, 'macd_lag_5': -0.1918023412930019, 'macd_12_26_9': -0.21179763886063796, 'macds_12_26_9': -0.19755442419207334}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 23.280000686645508, '2022-07-13': 23.57999992370605, '2022-07-14': 23.520000457763672, '2022-07-15': 23.549999237060547, '2022-07-18': 23.5, '2022-07-19': 23.700000762939453, '2022-07-20': 23.700000762939453, '2022-07-21': 23.709999084472656, '2022-07-22': 23.709999084472656, '2022-07-25': 23.959999084472656}, '1_month_later': {'2022-08-11': 23.729999542236328}, '3_months_later': {'2022-10-11': 22.940000534057617}, '6_months_later': {'2023-01-11': 20.229999542236328}, '12_months_later': {'2023-07-11': 14.329999923706056}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSI
|
{'date': '2022-07-11', 'ticker': 'FSI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/is-flexible-solutions-international-fsi-a-great-value-stock-right-now', 'news_author': None, 'news_article': 'Here at Zacks, our focus is on the proven Zacks Rank system, which emphasizes earnings estimates and estimate revisions to find great stocks. Nevertheless, we are always paying attention to the latest value, growth, and momentum trends to underscore strong picks.\nOf these, perhaps no stock market trend is more popular than value investing, which is a strategy that has proven to be successful in all sorts of market environments. Value investors use a variety of methods, including tried-and-true valuation metrics, to find these stocks.\nIn addition to the Zacks Rank, investors looking for stocks with specific traits can utilize our Style Scores system. Of course, value investors will be most interested in the system\'s "Value" category. Stocks with "A" grades for Value and high Zacks Ranks are among the best value stocks available at any given moment.\nOne company to watch right now is Flexible Solutions International (FSI). FSI is currently sporting a Zacks Rank of #2 (Buy) and an A for Value. The stock is trading with P/E ratio of 5.39 right now. For comparison, its industry sports an average P/E of 12.13. FSI\'s Forward P/E has been as high as 11.91 and as low as 5.38, with a median of 9.59, all within the past year.\nValue investors also frequently use the P/S ratio. This metric is found by dividing a stock\'s price with the company\'s revenue. This is a popular metric because sales are harder to manipulate on an income statement, so they are often considered a better performance indicator. FSI has a P/S ratio of 0.76. This compares to its industry\'s average P/S of 1.57.\nFinally, we should also recognize that FSI has a P/CF ratio of 6.05. This figure highlights a company\'s operating cash flow and can be used to find firms that are undervalued when considering their impressive cash outlook. This stock\'s P/CF looks attractive against its industry\'s average P/CF of 8.91. Over the past 52 weeks, FSI\'s P/CF has been as high as 11.68 and as low as 5.86, with a median of 8.76.\nAnother great Chemical - Specialty stock you could consider is Hawkins (HWKN), which is a # 2 (Buy) stock with a Value Score of A.\nAdditionally, Hawkins has a P/B ratio of 2.42 while its industry\'s price-to-book ratio sits at 3.48. For HWKN, this valuation metric has been as high as 3.43, as low as 2.34, with a median of 2.75 over the past year.\nThese are just a handful of the figures considered in Flexible Solutions International and Hawkins\'s great Value grade. Still, they help show that the stock is likely being undervalued at the moment. Add this to the strength of its earnings outlook, and we can clearly see that FSI and HWKN is an impressive value stock right now.\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 \nFlexible Solutions International Inc. (FSI): Free Stock Analysis Report\n \nHawkins, Inc. (HWKN): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "One company to watch right now is Flexible Solutions International (FSI). FSI is currently sporting a Zacks Rank of #2 (Buy) and an A for Value. FSI's Forward P/E has been as high as 11.91 and as low as 5.38, with a median of 9.59, all within the past year.", 'news_luhn_summary': 'Flexible Solutions International Inc. (FSI): Free Stock Analysis Report One company to watch right now is Flexible Solutions International (FSI). FSI is currently sporting a Zacks Rank of #2 (Buy) and an A for Value.', 'news_article_title': 'Is Flexible Solutions International (FSI) a Great Value Stock Right Now?', 'news_lexrank_summary': 'FSI has a P/S ratio of 0.76. One company to watch right now is Flexible Solutions International (FSI). FSI is currently sporting a Zacks Rank of #2 (Buy) and an A for Value.', 'news_textrank_summary': "One company to watch right now is Flexible Solutions International (FSI). FSI is currently sporting a Zacks Rank of #2 (Buy) and an A for Value. FSI's Forward P/E has been as high as 11.91 and as low as 5.38, with a median of 9.59, all within the past year."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.25, 'high': 2.4600000381469727, 'open': 2.4600000381469727, 'close': 2.3499999046325684, 'ema_50': 2.620141342805846, 'rsi_14': 35.71425165445615, 'target': 2.3399999141693115, 'volume': 7600.0, 'ema_200': 3.153568860446731, 'adj_close': 2.310833215713501, 'rsi_lag_1': 23.17070263185272, 'rsi_lag_2': 14.999969005569795, 'rsi_lag_3': 27.192980621586557, 'rsi_lag_4': 29.661013182124762, 'rsi_lag_5': 26.515150420483778, 'macd_lag_1': -0.08051376489789375, 'macd_lag_2': -0.08062608895383816, 'macd_lag_3': -0.0775603504879423, 'macd_lag_4': -0.07353738368608775, 'macd_lag_5': -0.06529661878376958, 'macd_12_26_9': -0.07711506582698258, 'macds_12_26_9': -0.07473397793397771}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.3399999141693115, '2022-07-13': 2.4100000858306885, '2022-07-14': 2.3499999046325684, '2022-07-15': 2.400000095367432, '2022-07-18': 2.380000114440918, '2022-07-19': 2.440000057220459, '2022-07-20': 2.5, '2022-07-21': 2.4800000190734863, '2022-07-22': 2.4600000381469727, '2022-07-25': 2.4800000190734863}, '1_month_later': {'2022-08-11': 2.309999942779541}, '3_months_later': {'2022-10-11': 3.0299999713897705}, '6_months_later': {'2023-01-11': 3.039999961853028}, '12_months_later': {'2023-07-11': 2.7300000190734863}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON 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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FSK
|
{'date': '2022-07-11', 'ticker': 'FSK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.350000381469727, 'high': 20.790000915527344, 'open': 20.770000457763672, 'close': 20.38999938964844, 'ema_50': 20.57691843958047, 'rsi_14': 75.59681791551617, 'target': 20.700000762939453, 'volume': 1314800.0, 'ema_200': 21.596133565283235, 'adj_close': 16.33794593811035, 'rsi_lag_1': 86.47060605482622, 'rsi_lag_2': 62.50000562308506, 'rsi_lag_3': 64.34979256501347, 'rsi_lag_4': 52.03095883628776, 'rsi_lag_5': 37.58740215243799, 'macd_lag_1': -0.11054049639314556, 'macd_lag_2': -0.2022362282026684, 'macd_lag_3': -0.2868043420847286, 'macd_lag_4': -0.3864996816311326, 'macd_lag_5': -0.489798070392375, 'macd_12_26_9': -0.07413462613047983, 'macds_12_26_9': -0.3039232650810656}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 20.700000762939453, '2022-07-13': 20.530000686645508, '2022-07-14': 20.14999961853028, '2022-07-15': 20.51000022888184, '2022-07-18': 20.479999542236328, '2022-07-19': 20.799999237060547, '2022-07-20': 20.88999938964844, '2022-07-21': 20.75, '2022-07-22': 20.790000915527344, '2022-07-25': 20.56999969482422}, '1_month_later': {'2022-08-11': 22.36000061035156}, '3_months_later': {'2022-10-11': 17.559999465942383}, '6_months_later': {'2023-01-11': 18.440000534057617}, '12_months_later': {'2023-07-11': 19.51000022888184}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSLR
|
{'date': '2022-07-11', 'ticker': 'FSLR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 69.12999725341797, 'high': 72.01000213623047, 'open': 71.44999694824219, 'close': 69.29000091552734, 'ema_50': 69.6453010904553, 'rsi_14': 55.928310370362055, 'target': 68.41999816894531, 'volume': 1004600.0, 'ema_200': 78.09111565493909, 'adj_close': 69.29000091552734, 'rsi_lag_1': 72.59036060528913, 'rsi_lag_2': 64.12996713718391, 'rsi_lag_3': 60.02858749946614, 'rsi_lag_4': 57.01357669134711, 'rsi_lag_5': 50.29940411560736, 'macd_lag_1': 0.13410325591306105, 'macd_lag_2': -0.24584394283847644, 'macd_lag_3': -0.5368185395153233, 'macd_lag_4': -0.444254644622319, 'macd_lag_5': -0.3267748110555573, 'macd_12_26_9': 0.17338824865760216, 'macds_12_26_9': -0.24775967080710065}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 68.41999816894531, '2022-07-13': 69.16000366210938, '2022-07-14': 71.04000091552734, '2022-07-15': 65.2699966430664, '2022-07-18': 67.01000213623047, '2022-07-19': 70.6500015258789, '2022-07-20': 72.9800033569336, '2022-07-21': 73.26000213623047, '2022-07-22': 72.58999633789062, '2022-07-25': 74.1500015258789}, '1_month_later': {'2022-08-11': 114.58000183105467}, '3_months_later': {'2022-10-11': 131.32000732421875}, '6_months_later': {'2023-01-11': 172.41000366210938}, '12_months_later': {'2023-07-11': 189.6199951171875}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSLY
|
{'date': '2022-07-11', 'ticker': 'FSLY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/why-fastly-stock-fell-today', 'news_author': None, 'news_article': "What happened\nShares of content delivery network (CDN) Fastly (NYSE: FSLY) fell on Monday morning after receiving an analyst downgrade. It didn't help that the market was down sharply as well, providing further downward pressure. As of 11:20 a.m. ET, Fastly stock was down 14%.\nSo what\nAccording to The Fly, Morgan Stanley analyst Sanjit Singh recommends selling Fastly stock and has lowered its price target for the stock from $18 per share to $12 per share.\nAccording to TipRanks, Singh began covering Fastly stock at the beginning of the year. When they initiated coverage in January, they gave it a price target of $43 per share, according to The Fly. But as Fastly stock has fallen, so too have the price targets.\nThe big difference today with Singh's outlook comes to the rating Fastly stock was given. Before, Singh believed it was a stock at least worth holding but not necessarily buying. But now Singh believes it's worth selling due to potential problems in the second half of 2022.\nPrice targets from analysts are often reactionary, as Singh's price targets demonstrate. Fastly stock is down roughly 67% year to date, and price targets have come down accordingly. However, price targets do have the potential to cause the market to react in the short term nonetheless. And that's why Fastly stock was down today.\nNow what\nIn fairness to Singh, Fastly's own guidance reflects challenges ahead. After reporting earnings for the first quarter of 2022, management guided for up to $415 million in full-year revenue and an non-GAAP (adjusted) operating loss of $60 million at best. Assuming the company achieves this best-case scenario, revenue would increase 17% year over year, but its non-GAAP operating loss would also increase by about 9%.\nIn other words, Fastly is poised for growth in the second half of 2022. However, its loss continues to widen. And given the challenges in the economy right now, that might not be a great position to be in.\nFastly is scheduled to report financial results for the second quarter of 2022 on Aug. 3.\n10 stocks we like better than Fastly\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 Fastly 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\nJon Quast has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Fastly. 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': 'What happened Shares of content delivery network (CDN) Fastly (NYSE: FSLY) fell on Monday morning after receiving an analyst downgrade. When they initiated coverage in January, they gave it a price target of $43 per share, according to The Fly. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.', 'news_luhn_summary': "What happened Shares of content delivery network (CDN) Fastly (NYSE: FSLY) fell on Monday morning after receiving an analyst downgrade. So what According to The Fly, Morgan Stanley analyst Sanjit Singh recommends selling Fastly stock and has lowered its price target for the stock from $18 per share to $12 per share. But now Singh believes it's worth selling due to potential problems in the second half of 2022.", 'news_article_title': 'Why Fastly Stock Fell Today', 'news_lexrank_summary': 'What happened Shares of content delivery network (CDN) Fastly (NYSE: FSLY) fell on Monday morning after receiving an analyst downgrade. ET, Fastly stock was down 14%. So what According to The Fly, Morgan Stanley analyst Sanjit Singh recommends selling Fastly stock and has lowered its price target for the stock from $18 per share to $12 per share.', 'news_textrank_summary': 'What happened Shares of content delivery network (CDN) Fastly (NYSE: FSLY) fell on Monday morning after receiving an analyst downgrade. So what According to The Fly, Morgan Stanley analyst Sanjit Singh recommends selling Fastly stock and has lowered its price target for the stock from $18 per share to $12 per share. 10 stocks we like better than Fastly When our award-winning analyst team has a stock tip, it can pay to listen.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.380000114440918, 'high': 13.029999732971191, 'open': 12.75, 'close': 11.609999656677246, 'ema_50': 13.308824226591996, 'rsi_14': 53.63734997496217, 'target': 11.869999885559082, 'volume': 5977400.0, 'ema_200': 25.648042382779924, 'adj_close': 11.609999656677246, 'rsi_lag_1': 70.28713566317137, 'rsi_lag_2': 68.65853523796785, 'rsi_lag_3': 66.57996788015205, 'rsi_lag_4': 67.36842461900395, 'rsi_lag_5': 53.393083895616506, 'macd_lag_1': 0.16679255373346358, 'macd_lag_2': 0.09569041975707471, 'macd_lag_3': -0.04939912032337368, 'macd_lag_4': -0.10252205287675054, 'macd_lag_5': -0.19632595808442588, 'macd_12_26_9': 0.06982932585749779, 'macds_12_26_9': -0.07334568925319417}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.869999885559082, '2022-07-13': 11.600000381469728, '2022-07-14': 11.300000190734863, '2022-07-15': 11.640000343322754, '2022-07-18': 12.1899995803833, '2022-07-19': 11.449999809265137, '2022-07-20': 12.09000015258789, '2022-07-21': 12.600000381469728, '2022-07-22': 11.510000228881836, '2022-07-25': 11.43000030517578}, '1_month_later': {'2022-08-11': 11.550000190734863}, '3_months_later': {'2022-10-11': 7.78000020980835}, '6_months_later': {'2023-01-11': 9.260000228881836}, '12_months_later': {'2023-07-11': 17.40999984741211}}
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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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FSM
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{'date': '2022-07-11', 'ticker': 'FSM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.619999885559082, 'high': 2.740000009536743, 'open': 2.680000066757202, 'close': 2.619999885559082, 'ema_50': 3.2192919610555344, 'rsi_14': 35.84906282805966, 'target': 2.559999942779541, 'volume': 3886200.0, 'ema_200': 3.8625255609125704, 'adj_close': 2.619999885559082, 'rsi_lag_1': 35.4037335145116, 'rsi_lag_2': 35.625006519254526, 'rsi_lag_3': 35.625006519254526, 'rsi_lag_4': 33.529420839457416, 'rsi_lag_5': 30.645169353382173, 'macd_lag_1': -0.1745740068573065, 'macd_lag_2': -0.17231276768881454, 'macd_lag_3': -0.16793841755817907, 'macd_lag_4': -0.1476942210583232, 'macd_lag_5': -0.12377973288349597, 'macd_12_26_9': -0.18313112504052365, 'macds_12_26_9': -0.14689999288830344}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.559999942779541, '2022-07-13': 2.740000009536743, '2022-07-14': 2.630000114440918, '2022-07-15': 2.640000104904175, '2022-07-18': 2.680000066757202, '2022-07-19': 2.7100000381469727, '2022-07-20': 2.5899999141693115, '2022-07-21': 2.5999999046325684, '2022-07-22': 2.539999961853028, '2022-07-25': 2.509999990463257}, '1_month_later': {'2022-08-11': 2.619999885559082}, '3_months_later': {'2022-10-11': 2.740000009536743}, '6_months_later': {'2023-01-11': 3.630000114440918}, '12_months_later': {'2023-07-11': 3.140000104904175}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON 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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FSMB
|
{'date': '2022-07-11', 'ticker': 'FSMB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.950000762939453, 'high': 19.96999931335449, 'open': 19.950000762939453, 'close': 19.96500015258789, 'ema_50': 19.913928059102687, 'rsi_14': 69.99956404220072, 'target': 19.989999771118164, 'volume': 75700.0, 'ema_200': 20.272995299446475, 'adj_close': 19.318435668945312, 'rsi_lag_1': 68.18152919621545, 'rsi_lag_2': 70.31220198359718, 'rsi_lag_3': 70.31202503352705, 'rsi_lag_4': 70.31244412125835, 'rsi_lag_5': 44.56533457172, 'macd_lag_1': 0.009514307207304284, 'macd_lag_2': 0.0065260582922341825, 'macd_lag_3': 0.0005806313113509987, 'macd_lag_4': -0.003961725668503391, 'macd_lag_5': -0.010720004962855967, 'macd_12_26_9': 0.014539113333672304, 'macds_12_26_9': 0.0003852708638098135}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 19.989999771118164, '2022-07-13': 19.979999542236328, '2022-07-14': 20.0049991607666, '2022-07-15': 20.0049991607666, '2022-07-18': 20.020000457763672, '2022-07-19': 19.989999771118164, '2022-07-20': 20.01000022888184, '2022-07-21': 20.01000022888184, '2022-07-22': 20.01000022888184, '2022-07-25': 20.01000022888184}, '1_month_later': {'2022-08-11': 20.05500030517578}, '3_months_later': {'2022-10-11': 19.549999237060547}, '6_months_later': {'2023-01-11': 19.88999938964844}, '12_months_later': {'2023-07-11': 19.729999542236328}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSS
|
{'date': '2022-07-11', 'ticker': 'FSS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.290000915527344, 'high': 35.7599983215332, 'open': 35.4900016784668, 'close': 35.38999938964844, 'ema_50': 35.03238558660316, 'rsi_14': 59.45241452369762, 'target': 35.45000076293945, 'volume': 115300.0, 'ema_200': 36.75866239293215, 'adj_close': 35.0137939453125, 'rsi_lag_1': 56.50559536223554, 'rsi_lag_2': 49.244063945187015, 'rsi_lag_3': 45.977007462336445, 'rsi_lag_4': 49.94218419383775, 'rsi_lag_5': 48.053400682487265, 'macd_lag_1': 0.1506080133793759, 'macd_lag_2': 0.12908142239380282, 'macd_lag_3': 0.0732555601085565, 'macd_lag_4': 0.12820865137199178, 'macd_lag_5': 0.15881130713637504, 'macd_12_26_9': 0.14501633432827532, 'macds_12_26_9': 0.15041981937587925}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 35.45000076293945, '2022-07-13': 35.290000915527344, '2022-07-14': 35.279998779296875, '2022-07-15': 35.91999816894531, '2022-07-18': 35.43000030517578, '2022-07-19': 36.95000076293945, '2022-07-20': 37.209999084472656, '2022-07-21': 37.869998931884766, '2022-07-22': 37.470001220703125, '2022-07-25': 37.70000076293945}, '1_month_later': {'2022-08-11': 41.959999084472656}, '3_months_later': {'2022-10-11': 42.209999084472656}, '6_months_later': {'2023-01-11': 50.0099983215332}, '12_months_later': {'2023-07-11': 63.83000183105469}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSTA
|
{'date': '2022-07-11', 'ticker': 'FSTA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.52999877929688, 'high': 43.91999816894531, 'open': 43.63999938964844, 'close': 43.630001068115234, 'ema_50': 44.011422655688975, 'rsi_14': 77.30199663619537, 'target': 43.52000045776367, 'volume': 78300.0, 'ema_200': 44.384651095896366, 'adj_close': 42.25639724731445, 'rsi_lag_1': 72.92936470076894, 'rsi_lag_2': 69.6911340500757, 'rsi_lag_3': 69.92341364669429, 'rsi_lag_4': 63.97848727270738, 'rsi_lag_5': 55.52099450398201, 'macd_lag_1': -0.061903530691772346, 'macd_lag_2': -0.09596433139385852, 'macd_lag_3': -0.14924212775450485, 'macd_lag_4': -0.2089643327397468, 'macd_lag_5': -0.2740064612827595, 'macd_12_26_9': -0.04328724229861791, 'macds_12_26_9': -0.2345876966376685}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 43.52000045776367, '2022-07-13': 43.56999969482422, '2022-07-14': 43.56999969482422, '2022-07-15': 43.790000915527344, '2022-07-18': 43.400001525878906, '2022-07-19': 43.869998931884766, '2022-07-20': 43.66999816894531, '2022-07-21': 43.77999877929688, '2022-07-22': 44.0099983215332, '2022-07-25': 44.220001220703125}, '1_month_later': {'2022-08-11': 45.060001373291016}, '3_months_later': {'2022-10-11': 40.61000061035156}, '6_months_later': {'2023-01-11': 45.18999862670898}, '12_months_later': {'2023-07-11': 45.060001373291016}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSTR
|
{'date': '2022-07-11', 'ticker': 'FSTR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.890000343322754, 'high': 13.170000076293944, 'open': 12.979999542236328, 'close': 13.170000076293944, 'ema_50': 13.261432193617814, 'rsi_14': 61.05262840884028, 'target': 13.25, 'volume': 2800.0, 'ema_200': 14.530869537636907, 'adj_close': 13.170000076293944, 'rsi_lag_1': 56.67869489219869, 'rsi_lag_2': 50.0, 'rsi_lag_3': 49.650358511321876, 'rsi_lag_4': 50.17668237476209, 'rsi_lag_5': 47.97297623838237, 'macd_lag_1': -0.06158772203847107, 'macd_lag_2': -0.07185201908000494, 'macd_lag_3': -0.07067149901059722, 'macd_lag_4': -0.044718641835972406, 'macd_lag_5': -0.02316107587239813, 'macd_12_26_9': -0.03928277984244133, 'macds_12_26_9': -0.05393796590526742}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 13.25, '2022-07-13': 13.630000114440918, '2022-07-14': 13.640000343322754, '2022-07-15': 13.829999923706056, '2022-07-18': 13.600000381469728, '2022-07-19': 13.4399995803833, '2022-07-20': 13.800000190734863, '2022-07-21': 13.75, '2022-07-22': 13.739999771118164, '2022-07-25': 14.119999885559082}, '1_month_later': {'2022-08-11': 15.0}, '3_months_later': {'2022-10-11': 9.949999809265137}, '6_months_later': {'2023-01-11': 10.470000267028809}, '12_months_later': {'2023-07-11': 13.949999809265137}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTGC
|
{'date': '2022-07-11', 'ticker': 'FTGC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.170000076293945, 'high': 26.440000534057617, 'open': 26.3799991607666, 'close': 26.309999465942383, 'ema_50': 28.0851293368888, 'rsi_14': 26.868663360079978, 'target': 25.479999542236328, 'volume': 672700.0, 'ema_200': 26.677427143794, 'adj_close': 23.27503776550293, 'rsi_lag_1': 23.272713148884677, 'rsi_lag_2': 21.70686843751689, 'rsi_lag_3': 12.44814148254035, 'rsi_lag_4': 11.673156227027974, 'rsi_lag_5': 13.483152328122316, 'macd_lag_1': -0.8724394469674444, 'macd_lag_2': -0.8865774231533159, 'macd_lag_3': -0.867290609907208, 'macd_lag_4': -0.7557312605558195, 'macd_lag_5': -0.6227120288902981, 'macd_12_26_9': -0.8474318119911501, 'macds_12_26_9': -0.7005584911724447}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.479999542236328, '2022-07-13': 25.6200008392334, '2022-07-14': 25.31999969482422, '2022-07-15': 25.6299991607666, '2022-07-18': 26.1299991607666, '2022-07-19': 26.13999938964844, '2022-07-20': 26.18000030517578, '2022-07-21': 25.86000061035156, '2022-07-22': 25.739999771118164, '2022-07-25': 26.1299991607666}, '1_month_later': {'2022-08-11': 27.479999542236328}, '3_months_later': {'2022-10-11': 26.3799991607666}, '6_months_later': {'2023-01-11': 23.940000534057617}, '12_months_later': {'2023-07-11': 23.209999084472656}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTFT
|
{'date': '2022-07-11', 'ticker': 'FTFT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.4099999964237213, 'high': 0.4399999976158142, 'open': 0.4399999976158142, 'close': 0.4199999868869781, 'ema_50': 0.4971690443180302, 'rsi_14': 55.17241308436821, 'target': 0.4199999868869781, 'volume': 129500.0, 'ema_200': 1.1103528306947361, 'adj_close': 0.4199999868869781, 'rsi_lag_1': 59.259253535906645, 'rsi_lag_2': 55.17241308436821, 'rsi_lag_3': 53.571424770112344, 'rsi_lag_4': 50.0, 'rsi_lag_5': 33.33333333333333, 'macd_lag_1': -0.01704467335851917, 'macd_lag_2': -0.020599396080889953, 'macd_lag_3': -0.02483688732172118, 'macd_lag_4': -0.02682965765941675, 'macd_lag_5': -0.026946545993784266, 'macd_12_26_9': -0.016458555384993856, 'macds_12_26_9': -0.02356060404785285}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 0.4199999868869781, '2022-07-13': 0.4099999964237213, '2022-07-14': 0.4199999868869781, '2022-07-15': 0.4199999868869781, '2022-07-18': 0.4199999868869781, '2022-07-19': 0.4399999976158142, '2022-07-20': 0.5, '2022-07-21': 0.4799999892711639, '2022-07-22': 0.4399999976158142, '2022-07-25': 0.4199999868869781}, '1_month_later': {'2022-08-11': 0.5600000023841858}, '3_months_later': {'2022-10-11': 0.4300000071525574}, '6_months_later': {'2023-01-11': 0.4600000083446502}, '12_months_later': {'2023-07-11': 1.3600000143051147}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTEK
|
{'date': '2022-07-11', 'ticker': 'FTEK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.2200000286102295, 'high': 1.25, 'open': 1.2400000095367432, 'close': 1.2300000190734863, 'ema_50': 1.2736289033319546, 'rsi_14': 46.153846153846146, 'target': 1.2100000381469729, 'volume': 20300.0, 'ema_200': 1.48234619107435, 'adj_close': 1.2300000190734863, 'rsi_lag_1': 43.99999999999998, 'rsi_lag_2': 45.83333333333332, 'rsi_lag_3': 57.14285714285715, 'rsi_lag_4': 57.14285714285715, 'rsi_lag_5': 38.70967741935482, 'macd_lag_1': -0.007059252808965244, 'macd_lag_2': -0.004025504696534732, 'macd_lag_3': -0.004167509517027934, 'macd_lag_4': -0.005306321833014049, 'macd_lag_5': -0.006682677598755626, 'macd_12_26_9': -0.00855795362580647, 'macds_12_26_9': -0.005441993109725031}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 1.2100000381469729, '2022-07-13': 1.2400000095367432, '2022-07-14': 1.2200000286102295, '2022-07-15': 1.2100000381469729, '2022-07-18': 1.2100000381469729, '2022-07-19': 1.2599999904632568, '2022-07-20': 1.25, '2022-07-21': 1.2400000095367432, '2022-07-22': 1.2300000190734863, '2022-07-25': 1.2100000381469729}, '1_month_later': {'2022-08-11': 1.3799999952316284}, '3_months_later': {'2022-10-11': 1.159999966621399}, '6_months_later': {'2023-01-11': 1.7100000381469729}, '12_months_later': {'2023-07-11': 1.2799999713897705}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTEC
|
{'date': '2022-07-11', 'ticker': 'FTEC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 98.9800033569336, 'high': 100.56999969482422, 'open': 100.31999969482422, 'close': 99.6500015258789, 'ema_50': 103.04979037036496, 'rsi_14': 63.54805618288689, 'target': 98.2699966430664, 'volume': 127800.0, 'ema_200': 112.92845521232967, 'adj_close': 98.64392852783205, 'rsi_lag_1': 70.6070279752382, 'rsi_lag_2': 57.56648764940612, 'rsi_lag_3': 57.36194298686252, 'rsi_lag_4': 57.041925933960144, 'rsi_lag_5': 44.27686601422503, 'macd_lag_1': -0.9936635929862803, 'macd_lag_2': -1.283434888869877, 'macd_lag_3': -1.628510670818926, 'macd_lag_4': -1.8233017553131958, 'macd_lag_5': -1.9731144435713759, 'macd_12_26_9': -0.8837440954076783, 'macds_12_26_9': -1.5186814408425509}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 98.2699966430664, '2022-07-13': 98.05999755859376, '2022-07-14': 98.76000213623048, '2022-07-15': 100.5199966430664, '2022-07-18': 99.62999725341795, '2022-07-19': 102.68000030517578, '2022-07-20': 104.52999877929688, '2022-07-21': 106.01000213623048, '2022-07-22': 104.4000015258789, '2022-07-25': 103.68000030517578}, '1_month_later': {'2022-08-11': 112.66999816894533}, '3_months_later': {'2022-10-11': 89.38999938964844}, '6_months_later': {'2023-01-11': 98.13999938964844}, '12_months_later': {'2023-07-11': 129.69000244140625}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTDR
|
{'date': '2022-07-11', 'ticker': 'FTDR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.780000686645508, 'high': 27.290000915527344, 'open': 24.8700008392334, 'close': 25.700000762939453, 'ema_50': 25.183535106868614, 'rsi_14': 85.03598302980875, 'target': 25.8799991607666, 'volume': 1136800.0, 'ema_200': 32.319972935235796, 'adj_close': 25.700000762939453, 'rsi_lag_1': 83.75000968575827, 'rsi_lag_2': 77.56874530925968, 'rsi_lag_3': 76.40791843164216, 'rsi_lag_4': 77.40525466306514, 'rsi_lag_5': 66.45806781042339, 'macd_lag_1': 0.017163362503062274, 'macd_lag_2': -0.10040855100649893, 'macd_lag_3': -0.2642852664853237, 'macd_lag_4': -0.397316581764926, 'macd_lag_5': -0.5603155596827136, 'macd_12_26_9': 0.15933901114221527, 'macds_12_26_9': -0.41226469614558764}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.8799991607666, '2022-07-13': 25.850000381469727, '2022-07-14': 25.88999938964844, '2022-07-15': 26.459999084472656, '2022-07-18': 26.43000030517578, '2022-07-19': 27.09000015258789, '2022-07-20': 26.8799991607666, '2022-07-21': 27.100000381469727, '2022-07-22': 26.96999931335449, '2022-07-25': 26.18000030517578}, '1_month_later': {'2022-08-11': 25.479999542236328}, '3_months_later': {'2022-10-11': 20.450000762939453}, '6_months_later': {'2023-01-11': 23.36000061035156}, '12_months_later': {'2023-07-11': 33.45000076293945}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FXA
|
{'date': '2022-07-11', 'ticker': 'FXA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 66.55999755859375, 'high': 66.83999633789062, 'open': 66.62999725341797, 'close': 66.61000061035156, 'ema_50': 69.4835330385684, 'rsi_14': 30.623765089346236, 'target': 66.94999694824219, 'volume': 8100.0, 'ema_200': 71.39329699147703, 'adj_close': 65.97368621826172, 'rsi_lag_1': 30.857094693276096, 'rsi_lag_2': 35.75219159658418, 'rsi_lag_3': 43.54585710353207, 'rsi_lag_4': 40.638588837152646, 'rsi_lag_5': 35.353519784912464, 'macd_lag_1': -0.7019273726969288, 'macd_lag_2': -0.733709814593297, 'macd_lag_3': -0.7544403614526374, 'macd_lag_4': -0.7088356459123588, 'macd_lag_5': -0.656607613831369, 'macd_12_26_9': -0.7671467440895441, 'macds_12_26_9': -0.6733599551781382}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 66.94999694824219, '2022-07-13': 66.94999694824219, '2022-07-14': 66.79000091552734, '2022-07-15': 67.2300033569336, '2022-07-18': 67.41999816894531, '2022-07-19': 68.29000091552734, '2022-07-20': 68.18000030517578, '2022-07-21': 68.4800033569336, '2022-07-22': 68.43000030517578, '2022-07-25': 68.88999938964844}, '1_month_later': {'2022-08-11': 70.29000091552734}, '3_months_later': {'2022-10-11': 62.09999847412109}, '6_months_later': {'2023-01-11': 68.3499984741211}, '12_months_later': {'2023-07-11': 66.20999908447266}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTCH
|
{'date': '2022-07-11', 'ticker': 'FTCH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.824999809265137, 'high': 7.570000171661377, 'open': 7.539999961853027, 'close': 6.849999904632568, 'ema_50': 9.24667035412008, 'rsi_14': 42.113096536878274, 'target': 6.929999828338623, 'volume': 6713772.0, 'ema_200': 20.201189676271564, 'adj_close': 6.849999904632568, 'rsi_lag_1': 49.75767584504935, 'rsi_lag_2': 46.038866288029006, 'rsi_lag_3': 48.28080052077722, 'rsi_lag_4': 54.479767909851866, 'rsi_lag_5': 40.813648105082386, 'macd_lag_1': -0.36934839708466516, 'macd_lag_2': -0.37597297263531626, 'macd_lag_3': -0.40746870591142503, 'macd_lag_4': -0.3969418911990461, 'macd_lag_5': -0.4245685149782208, 'macd_12_26_9': -0.42217134298172176, 'macds_12_26_9': -0.3936987178801732}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 6.929999828338623, '2022-07-13': 7.079999923706055, '2022-07-14': 6.730000019073486, '2022-07-15': 6.539999961853027, '2022-07-18': 6.730000019073486, '2022-07-19': 7.760000228881836, '2022-07-20': 8.350000381469727, '2022-07-21': 8.819999694824219, '2022-07-22': 8.359999656677246, '2022-07-25': 8.079999923706055}, '1_month_later': {'2022-08-11': 9.899999618530272}, '3_months_later': {'2022-10-11': 7.659999847412109}, '6_months_later': {'2023-01-11': 5.349999904632568}, '12_months_later': {'2023-07-11': 6.210000038146973}}
|
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.
|
FTAI
|
{'date': '2022-07-11', 'ticker': 'FTAI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.515798568725586, 'high': 17.839452743530273, 'open': 17.198974609375, 'close': 16.558496475219727, 'ema_50': 17.018361990680734, 'rsi_14': 70.60929417683985, 'target': 16.49871826171875, 'volume': 1125799.0, 'ema_200': 19.77813903028365, 'adj_close': 15.385770797729492, 'rsi_lag_1': 78.01977999766919, 'rsi_lag_2': 52.72406967118038, 'rsi_lag_3': 57.70439368101074, 'rsi_lag_4': 68.0534912605442, 'rsi_lag_5': 47.245761959957335, 'macd_lag_1': -0.04929276079100475, 'macd_lag_2': -0.14040961920173345, 'macd_lag_3': -0.1729327818603501, 'macd_lag_4': -0.18236587304788898, 'macd_lag_5': -0.23870631938484266, 'macd_12_26_9': -0.03116035177919585, 'macds_12_26_9': -0.18912452648709022}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 16.49871826171875, '2022-07-13': 16.831768035888672, '2022-07-14': 16.285226821899414, '2022-07-15': 16.6097354888916, '2022-07-18': 16.626815795898438, '2022-07-19': 17.292911529541016, '2022-07-20': 17.93338966369629, '2022-07-21': 17.93338966369629, '2022-07-22': 17.728437423706055, '2022-07-25': 17.90777015686035}, '1_month_later': {'2022-08-11': 18.290000915527344}, '3_months_later': {'2022-10-11': 15.270000457763672}, '6_months_later': {'2023-01-11': 21.25}, '12_months_later': {'2023-07-11': 31.809999465942383}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTAG
|
{'date': '2022-07-11', 'ticker': 'FTAG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.799999237060547, 'high': 26.799999237060547, 'open': 26.799999237060547, 'close': 26.799999237060547, 'ema_50': 29.84086054615133, 'rsi_14': 34.003354632587886, 'target': 26.6200008392334, 'volume': 500.0, 'ema_200': 30.67251850207553, 'adj_close': 25.68719291687012, 'rsi_lag_1': 34.52381493012554, 'rsi_lag_2': 27.672046710201528, 'rsi_lag_3': 22.448981425061717, 'rsi_lag_4': 26.209045948045755, 'rsi_lag_5': 25.609762834552882, 'macd_lag_1': -1.1873926112068283, 'macd_lag_2': -1.238403976463779, 'macd_lag_3': -1.2712453960607952, 'macd_lag_4': -1.2244175478451496, 'macd_lag_5': -1.1682202003911861, 'macd_12_26_9': -1.163410638580178, 'macds_12_26_9': -1.144305603367491}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 26.6200008392334, '2022-07-13': 26.59000015258789, '2022-07-14': 25.979999542236328, '2022-07-15': 26.43000030517578, '2022-07-18': 26.600000381469727, '2022-07-19': 27.670000076293945, '2022-07-20': 27.780000686645508, '2022-07-21': 27.82999992370605, '2022-07-22': 27.56999969482422, '2022-07-25': 28.11000061035156}, '1_month_later': {'2022-08-11': 29.75}, '3_months_later': {'2022-10-11': 27.420000076293945}, '6_months_later': {'2023-01-11': 30.049999237060547}, '12_months_later': {'2023-07-11': 27.209999084472656}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTA
|
{'date': '2022-07-11', 'ticker': 'FTA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 62.45000076293945, 'high': 62.91999816894531, 'open': 62.59999847412109, 'close': 62.4900016784668, 'ema_50': 65.50885175632949, 'rsi_14': 59.10828396903534, 'target': 62.540000915527344, 'volume': 32700.0, 'ema_200': 67.05129551342726, 'adj_close': 60.2745475769043, 'rsi_lag_1': 63.46414624892566, 'rsi_lag_2': 49.84060165981832, 'rsi_lag_3': 47.5555419921875, 'rsi_lag_4': 45.10870849703013, 'rsi_lag_5': 37.219726799381576, 'macd_lag_1': -1.1351872495885615, 'macd_lag_2': -1.2285347617521865, 'macd_lag_3': -1.3522106595780485, 'macd_lag_4': -1.4038518719840383, 'macd_lag_5': -1.4361090900599223, 'macd_12_26_9': -1.0897987543167105, 'macds_12_26_9': -1.2988876032021013}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 62.540000915527344, '2022-07-13': 62.16999816894531, '2022-07-14': 61.31999969482422, '2022-07-15': 62.70000076293945, '2022-07-18': 62.5, '2022-07-19': 64.27999877929688, '2022-07-20': 64.4000015258789, '2022-07-21': 64.51000213623047, '2022-07-22': 64.13999938964844, '2022-07-25': 64.58000183105469}, '1_month_later': {'2022-08-11': 67.94000244140625}, '3_months_later': {'2022-10-11': 58.83000183105469}, '6_months_later': {'2023-01-11': 69.61000061035156}, '12_months_later': {'2023-07-11': 67.8499984741211}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FT
|
{'date': '2022-07-11', 'ticker': 'FT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.420000076293945, 'high': 7.5, 'open': 7.5, 'close': 7.449999809265137, 'ema_50': 7.560276976573552, 'rsi_14': 70.10309024956285, 'target': 7.460000038146973, 'volume': 25300.0, 'ema_200': 7.8694858583148894, 'adj_close': 6.601626873016357, 'rsi_lag_1': 65.38460127700664, 'rsi_lag_2': 51.639342340081754, 'rsi_lag_3': 60.76923330859895, 'rsi_lag_4': 57.24636429224981, 'rsi_lag_5': 46.198829267857406, 'macd_lag_1': -0.02210644426457975, 'macd_lag_2': -0.0246467766256675, 'macd_lag_3': -0.022439785946041013, 'macd_lag_4': -0.02744191318762912, 'macd_lag_5': -0.035463653096678094, 'macd_12_26_9': -0.0214596701608345, 'macds_12_26_9': -0.03626950744851871}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 7.460000038146973, '2022-07-13': 7.460000038146973, '2022-07-14': 7.5, '2022-07-15': 7.400000095367432, '2022-07-18': 7.360000133514404, '2022-07-19': 7.440000057220459, '2022-07-20': 7.389999866485596, '2022-07-21': 7.320000171661377, '2022-07-22': 7.320000171661377, '2022-07-25': 7.349999904632568}, '1_month_later': {'2022-08-11': 7.929999828338623}, '3_months_later': {'2022-10-11': 6.519999980926514}, '6_months_later': {'2023-01-11': 7.130000114440918}, '12_months_later': {'2023-07-11': 6.789999961853027}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FSV
|
{'date': '2022-07-11', 'ticker': 'FSV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 126.16999816894533, 'high': 129.22999572753906, 'open': 127.75, 'close': 126.79000091552734, 'ema_50': 124.98231541958296, 'rsi_14': 73.25905326306079, 'target': 129.47999572753906, 'volume': 119600.0, 'ema_200': 145.45691222881925, 'adj_close': 125.59500122070312, 'rsi_lag_1': 80.77074422100723, 'rsi_lag_2': 61.188377658112316, 'rsi_lag_3': 59.85617625778439, 'rsi_lag_4': 60.749827237495936, 'rsi_lag_5': 53.30701163538884, 'macd_lag_1': 0.7861235363437373, 'macd_lag_2': 0.32740679359271496, 'macd_lag_3': -0.12131686948646347, 'macd_lag_4': -0.3807234390218355, 'macd_lag_5': -0.7979184981214615, 'macd_12_26_9': 0.9945635097562615, 'macds_12_26_9': -0.1252213245745751}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 129.47999572753906, '2022-07-13': 128.57000732421875, '2022-07-14': 125.11000061035156, '2022-07-15': 125.08000183105467, '2022-07-18': 126.87999725341795, '2022-07-19': 129.9199981689453, '2022-07-20': 132.82000732421875, '2022-07-21': 134.22999572753906, '2022-07-22': 131.89999389648438, '2022-07-25': 132.4199981689453}, '1_month_later': {'2022-08-11': 134.80999755859375}, '3_months_later': {'2022-10-11': 118.8499984741211}, '6_months_later': {'2023-01-11': 136.05999755859375}, '12_months_later': {'2023-07-11': 155.05999755859375}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FTC
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{'date': '2022-07-11', 'ticker': 'FTC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/should-first-trust-large-cap-growth-alphadex-etf-ftc-be-on-your-investing-radar-2', 'news_author': None, 'news_article': "If you're interested in broad exposure to the Large Cap Growth segment of the US equity market, look no further than the First Trust Large Cap Growth AlphaDEX ETF (FTC), a passively managed exchange traded fund launched on 05/08/2007.\nThe fund is sponsored by First Trust Advisors. It has amassed assets over $873.23 million, making it one of the average sized ETFs attempting to match the Large Cap Growth segment of the US equity market.\nWhy Large Cap Growth\nCompanies that fall in the large cap category tend to have a market capitalization above $10 billion. Considered a more stable option, large cap companies boast more predictable cash flows and are less volatile than their mid and small cap counterparts.\nQualities of growth stocks include faster growth rates compared to the broader market, as well as higher valuations and higher than average sales and earnings growth rates. Something to keep in mind is the higher level of volatility that is affiliated with growth stocks. When you consider growth versus value, growth stocks are usually the clear winner in strong bull markets but tend to fall flat in nearly all other environments.\nCosts\nWhen considering an ETF's total return, expense ratios are an important factor, and cheaper funds can significantly outperform their more expensive counterparts in the long term if all other factors remain equal.\nAnnual operating expenses for this ETF are 0.59%, putting it on par with most peer products in the space.\nIt has a 12-month trailing dividend yield of 0.24%.\nSector Exposure and Top Holdings\nWhile ETFs offer diversified exposure, which minimizes single stock risk, a deep look into a fund's holdings is a valuable exercise. And, most ETFs are very transparent products that disclose their holdings on a daily basis.\nThis ETF has heaviest allocation to the Information Technology sector--about 28.70% of the portfolio. Healthcare and Consumer Discretionary round out the top three.\nLooking at individual holdings, Cheniere Energy, Inc. (LNG) accounts for about 1.36% of total assets, followed by Nucor Corporation (NUE) and Occidental Petroleum Corporation (OXY).\nThe top 10 holdings account for about 11.17% of total assets under management.\nPerformance and Risk\nFTC seeks to match the performance of the Nasdaq AlphaDEX Large Cap Growth Index before fees and expenses. The NASDAQ AlphaDEX Large Cap Growth Index is an enhanced index which employs the AlphaDEX stock selection methodology to select stocks from the NASDAQ US 500 Large Cap Growth Index.\nThe ETF has lost about -23.57% so far this year and is down about -16.84% in the last one year (as of 07/11/2022). In the past 52-week period, it has traded between $85.37 and $124.15.\nThe ETF has a beta of 1.05 and standard deviation of 26.67% for the trailing three-year period, making it a medium risk choice in the space. With about 188 holdings, it effectively diversifies company-specific risk.\nAlternatives\nFirst Trust Large Cap Growth AlphaDEX ETF holds a Zacks ETF Rank of 2 (Buy), which is based on expected asset class return, expense ratio, and momentum, among other factors. Because of this, FTC is a great option for investors seeking exposure to the Style Box - Large Cap Growth segment of the market. There are other additional ETFs in the space that investors could consider as well.\nThe Vanguard Growth ETF (VUG) and the Invesco QQQ (QQQ) track a similar index. While Vanguard Growth ETF has $69.99 billion in assets, Invesco QQQ has $161.90 billion. VUG has an expense ratio of 0.04% and QQQ charges 0.20%.\nBottom-Line\nAn increasingly popular option among retail and institutional investors, passively managed ETFs offer low costs, transparency, flexibility, and tax efficiency; they are also excellent vehicles for long term investors.\nTo learn more about this product and other ETFs, screen for products that match your investment objectives and read articles on latest developments in the ETF investing universe, please visit Zacks ETF Center.\n\nWant key ETF info delivered straight to your inbox?\nZacks’ free Fund Newsletter will brief you on top news and analysis, as well as top-performing ETFs, each week.\nGet it free >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nFirst Trust Large Cap Growth AlphaDEX ETF (FTC): ETF Research Reports\n \nNucor Corporation (NUE): Free Stock Analysis Report\n \nOccidental Petroleum Corporation (OXY): Free Stock Analysis Report\n \nCheniere Energy, Inc. (LNG): Free Stock Analysis Report\n \nInvesco QQQ (QQQ): ETF Research Reports\n \nVanguard Growth ETF (VUG): ETF Research Reports\n \nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Because of this, FTC is a great option for investors seeking exposure to the Style Box - Large Cap Growth segment of the market. If you're interested in broad exposure to the Large Cap Growth segment of the US equity market, look no further than the First Trust Large Cap Growth AlphaDEX ETF (FTC), a passively managed exchange traded fund launched on 05/08/2007. Performance and Risk FTC seeks to match the performance of the Nasdaq AlphaDEX Large Cap Growth Index before fees and expenses.", 'news_luhn_summary': "First Trust Large Cap Growth AlphaDEX ETF (FTC): ETF Research Reports If you're interested in broad exposure to the Large Cap Growth segment of the US equity market, look no further than the First Trust Large Cap Growth AlphaDEX ETF (FTC), a passively managed exchange traded fund launched on 05/08/2007. Performance and Risk FTC seeks to match the performance of the Nasdaq AlphaDEX Large Cap Growth Index before fees and expenses.", 'news_article_title': 'Should First Trust Large Cap Growth AlphaDEX ETF (FTC) Be on Your Investing Radar?', 'news_lexrank_summary': "If you're interested in broad exposure to the Large Cap Growth segment of the US equity market, look no further than the First Trust Large Cap Growth AlphaDEX ETF (FTC), a passively managed exchange traded fund launched on 05/08/2007. First Trust Large Cap Growth AlphaDEX ETF (FTC): ETF Research Reports Performance and Risk FTC seeks to match the performance of the Nasdaq AlphaDEX Large Cap Growth Index before fees and expenses.", 'news_textrank_summary': "If you're interested in broad exposure to the Large Cap Growth segment of the US equity market, look no further than the First Trust Large Cap Growth AlphaDEX ETF (FTC), a passively managed exchange traded fund launched on 05/08/2007. Performance and Risk FTC seeks to match the performance of the Nasdaq AlphaDEX Large Cap Growth Index before fees and expenses. Because of this, FTC is a great option for investors seeking exposure to the Style Box - Large Cap Growth segment of the market."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 89.54000091552734, 'high': 90.20999908447266, 'open': 89.79000091552734, 'close': 89.5999984741211, 'ema_50': 92.84386096953156, 'rsi_14': 67.52279973401369, 'target': 88.41999816894531, 'volume': 20600.0, 'ema_200': 101.49100978050485, 'adj_close': 88.3471908569336, 'rsi_lag_1': 72.50893605005542, 'rsi_lag_2': 55.66939445752782, 'rsi_lag_3': 53.20836583302438, 'rsi_lag_4': 52.489023653948955, 'rsi_lag_5': 40.94800635623593, 'macd_lag_1': -1.051825463594497, 'macd_lag_2': -1.236592137868513, 'macd_lag_3': -1.458507627881147, 'macd_lag_4': -1.554574476561882, 'macd_lag_5': -1.6301425703623948, 'macd_12_26_9': -0.9660757360458376, 'macds_12_26_9': -1.3918473498213308}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 88.41999816894531, '2022-07-13': 88.12999725341797, '2022-07-14': 87.70999908447266, '2022-07-15': 89.19999694824219, '2022-07-18': 88.6500015258789, '2022-07-19': 91.25, '2022-07-20': 91.83999633789062, '2022-07-21': 92.80999755859376, '2022-07-22': 92.05999755859376, '2022-07-25': 92.5}, '1_month_later': {'2022-08-11': 98.93000030517578}, '3_months_later': {'2022-10-11': 86.4800033569336}, '6_months_later': {'2023-01-11': 94.27999877929688}, '12_months_later': {'2023-07-11': 101.8000030517578}}
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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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FRO
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{'date': '2022-07-11', 'ticker': 'FRO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/oil-tanker-owners-frontline-and-euronav-sign-merger-deal', 'news_author': None, 'news_article': 'OSLO, July 11 (Reuters) - Frontline FRO.OL and rival Euronav EUAV.BR have signed an all-stock merger deal to create a market-leading oil tanker group with 146 vessels including 68 Very Large Crude Carriers (VLCCs), the companies said on Monday.\nThe firms, which expect the merged company to have a market capitalisation of more than $4 billion and the merger to generate synergies of at least $60 million a year, first announced their intention to merge on April 7.\nShares in Oslo-listed Frontline, the smaller of the two but after which the combined group is to be named after, will be exchanged into Brussels-listed Euronav shares at a ratio of 1.45 to 1.\nThe combined company will be held roughly 55% by existing Euronav shareholders and 45% by existing Frontline shareholders, assuming all Euronav shares are tendered in the tender offer.\nFrontline and its Famatown Finance Limited currently already own 18.8% of the total outstanding shares in Euronav, it said.\nSponsored Links\nHelp Pay Down Balances Instead Of Interest\nCredit Karma\nLearn More\n(Reporting by Victoria Klesty, editing by Gwladys Fouche)\n(([email protected]; +47 2331 6592; Reuters Messaging: [email protected]))\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'OSLO, July 11 (Reuters) - Frontline FRO.OL and rival Euronav EUAV.BR have signed an all-stock merger deal to create a market-leading oil tanker group with 146 vessels including 68 Very Large Crude Carriers (VLCCs), the companies said on Monday. Frontline and its Famatown Finance Limited currently already own 18.8% of the total outstanding shares in Euronav, it said. Shares in Oslo-listed Frontline, the smaller of the two but after which the combined group is to be named after, will be exchanged into Brussels-listed Euronav shares at a ratio of 1.45 to 1.', 'news_luhn_summary': 'Shares in Oslo-listed Frontline, the smaller of the two but after which the combined group is to be named after, will be exchanged into Brussels-listed Euronav shares at a ratio of 1.45 to 1. The combined company will be held roughly 55% by existing Euronav shareholders and 45% by existing Frontline shareholders, assuming all Euronav shares are tendered in the tender offer. OSLO, July 11 (Reuters) - Frontline FRO.OL and rival Euronav EUAV.BR have signed an all-stock merger deal to create a market-leading oil tanker group with 146 vessels including 68 Very Large Crude Carriers (VLCCs), the companies said on Monday.', 'news_article_title': 'Oil tanker owners Frontline and Euronav sign merger deal', 'news_lexrank_summary': 'OSLO, July 11 (Reuters) - Frontline FRO.OL and rival Euronav EUAV.BR have signed an all-stock merger deal to create a market-leading oil tanker group with 146 vessels including 68 Very Large Crude Carriers (VLCCs), the companies said on Monday. Shares in Oslo-listed Frontline, the smaller of the two but after which the combined group is to be named after, will be exchanged into Brussels-listed Euronav shares at a ratio of 1.45 to 1. The combined company will be held roughly 55% by existing Euronav shareholders and 45% by existing Frontline shareholders, assuming all Euronav shares are tendered in the tender offer.', 'news_textrank_summary': 'OSLO, July 11 (Reuters) - Frontline FRO.OL and rival Euronav EUAV.BR have signed an all-stock merger deal to create a market-leading oil tanker group with 146 vessels including 68 Very Large Crude Carriers (VLCCs), the companies said on Monday. Shares in Oslo-listed Frontline, the smaller of the two but after which the combined group is to be named after, will be exchanged into Brussels-listed Euronav shares at a ratio of 1.45 to 1. The combined company will be held roughly 55% by existing Euronav shareholders and 45% by existing Frontline shareholders, assuming all Euronav shares are tendered in the tender offer.'}, {'news_url': 'https://www.nasdaq.com/articles/energy-sector-update-for-07-11-2022%3A-cgrneurnfrouseaship', 'news_author': None, 'news_article': "Energy stocks were lower this afternoon, with the NYSE Energy Sector Index falling 1.3% while the SPDR Energy Select Sector ETF (XLE) was down 1.0%. The Philadelphia Oil-Service Sector index was posting a 2.8% decline although the Dow Jones US Utilities Index was climbing less than 0.1%.\nWest Texas Intermediate crude oil was inking $1.13 to $103.66 per barrel while North Sea Brent crude also was sliding $0.57 to $106.45 per barrel. Henry Hub natural gas futures were $0.42 higher at $6.46 per 1 million BTU.\nIn company news, Capstone Green Energy (CGRN) slid 3.9% after micro-turbine company said Scott Robinson has been named interim chief financial officer, succeeding Frederick Hencken, who stepped down on Friday. Robinson is an executive consultant with Vaco, a professional-services firm providing senior level financial professionals on an interim basis.\nEuronav (EURN) rose 0.9% after agreeing to a $2.44 billion stock swap with rival tanker company Frontline. Under terms of the proposed transaction, investors will receive 1.5 Frontline shares for each of their Euronav shares, valuing the target company at about $12.09 per share based on Frontline's closing price on Friday and representing a 7.1% premium over Euronav's last closing price. Frontline (FRO) shares were falling 2.8% this afternoon.\nUnited Maritime (USEA) fell 6.2% after Monday announcing plans to acquire a 0fleet of two Aframax oil tankers and two LR2 product tankers for $79.5 million. It expects to finance the deal using loan proceeds and cash on hand, including $5 million in funding from former United parent company Seanergy Maritime (SHIP).\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': "Euronav (EURN) rose 0.9% after agreeing to a $2.44 billion stock swap with rival tanker company Frontline. It expects to finance the deal using loan proceeds and cash on hand, including $5 million in funding from former United parent company Seanergy Maritime (SHIP). Under terms of the proposed transaction, investors will receive 1.5 Frontline shares for each of their Euronav shares, valuing the target company at about $12.09 per share based on Frontline's closing price on Friday and representing a 7.1% premium over Euronav's last closing price.", 'news_luhn_summary': "Euronav (EURN) rose 0.9% after agreeing to a $2.44 billion stock swap with rival tanker company Frontline. Under terms of the proposed transaction, investors will receive 1.5 Frontline shares for each of their Euronav shares, valuing the target company at about $12.09 per share based on Frontline's closing price on Friday and representing a 7.1% premium over Euronav's last closing price. Frontline (FRO) shares were falling 2.8% this afternoon.", 'news_article_title': 'Energy Sector Update for 07/11/2022: CGRN,EURN,FRO,USEA,SHIP', 'news_lexrank_summary': "Euronav (EURN) rose 0.9% after agreeing to a $2.44 billion stock swap with rival tanker company Frontline. Under terms of the proposed transaction, investors will receive 1.5 Frontline shares for each of their Euronav shares, valuing the target company at about $12.09 per share based on Frontline's closing price on Friday and representing a 7.1% premium over Euronav's last closing price. Frontline (FRO) shares were falling 2.8% this afternoon.", 'news_textrank_summary': "Under terms of the proposed transaction, investors will receive 1.5 Frontline shares for each of their Euronav shares, valuing the target company at about $12.09 per share based on Frontline's closing price on Friday and representing a 7.1% premium over Euronav's last closing price. Euronav (EURN) rose 0.9% after agreeing to a $2.44 billion stock swap with rival tanker company Frontline. Frontline (FRO) shares were falling 2.8% this afternoon."}, {'news_url': 'https://www.nasdaq.com/articles/energy-sector-update-for-07-11-2022%3A-fro-xom-shel-xle-uso-ung', 'news_author': None, 'news_article': "Energy stocks were slipping pre-bell Monday with the Energy Select Sector SPDR (XLE) retreating nearly 2% recently. The United States Oil Fund (USO) was down nearly 2% and the United States Natural Gas Fund (UNG) was over 9% higher.\nFront-month US West Texas Intermediate crude oil was up 2.01% at $104.80 per barrel at the New York Mercantile Exchange. The global benchmark Brent crude lost 2.21% to $104.66 per barrel. Natural gas futures were 3.65% lower at $6.067 per 1 million British Thermal Units.\nFrontline (FRO) and Euronav said they agreed to merge in a stock-for-stock transaction structured as a voluntary conditional exchange offer to be launched in Q4. Frontline shares were down nearly 1% in recent premarket activity.\nExxon Mobil (XOM) and Shell (SHEL) may try to enforce part of a $1.8 billion arbitration award against the Nigerian National Petroleum Corp., or NNPC, in a dispute over oil extraction near Nigeria's coastline, a US appeals court said, Reuters reported. Shell's shares were down 2% and Exxon Mobil's were down more than 1.6% recently.\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': 'Front-month US West Texas Intermediate crude oil was up 2.01% at $104.80 per barrel at the New York Mercantile Exchange. Frontline (FRO) and Euronav said they agreed to merge in a stock-for-stock transaction structured as a voluntary conditional exchange offer to be launched in Q4. Frontline shares were down nearly 1% in recent premarket activity.', 'news_luhn_summary': 'Front-month US West Texas Intermediate crude oil was up 2.01% at $104.80 per barrel at the New York Mercantile Exchange. Frontline (FRO) and Euronav said they agreed to merge in a stock-for-stock transaction structured as a voluntary conditional exchange offer to be launched in Q4. Frontline shares were down nearly 1% in recent premarket activity.', 'news_article_title': 'Energy Sector Update for 07/11/2022: FRO, XOM, SHEL, XLE, USO, UNG', 'news_lexrank_summary': 'Front-month US West Texas Intermediate crude oil was up 2.01% at $104.80 per barrel at the New York Mercantile Exchange. Frontline (FRO) and Euronav said they agreed to merge in a stock-for-stock transaction structured as a voluntary conditional exchange offer to be launched in Q4. Frontline shares were down nearly 1% in recent premarket activity.', 'news_textrank_summary': 'Front-month US West Texas Intermediate crude oil was up 2.01% at $104.80 per barrel at the New York Mercantile Exchange. Frontline (FRO) and Euronav said they agreed to merge in a stock-for-stock transaction structured as a voluntary conditional exchange offer to be launched in Q4. Frontline shares were down nearly 1% in recent premarket activity.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.989999771118164, 'high': 8.270000457763672, 'open': 8.229999542236328, 'close': 8.09000015258789, 'ema_50': 8.929032027961112, 'rsi_14': 46.91358111904348, 'target': 8.220000267028809, 'volume': 2472500.0, 'ema_200': 8.445579982431758, 'adj_close': 6.731899261474609, 'rsi_lag_1': 47.50000298023153, 'rsi_lag_2': 44.39251972021702, 'rsi_lag_3': 43.19809829713469, 'rsi_lag_4': 50.98591034716939, 'rsi_lag_5': 46.1734810554639, 'macd_lag_1': -0.19967604048192555, 'macd_lag_2': -0.1745929777878601, 'macd_lag_3': -0.1430928527203168, 'macd_lag_4': -0.08044227101481383, 'macd_lag_5': -0.06752546691859429, 'macd_12_26_9': -0.2369955221883071, 'macds_12_26_9': -0.139688219089037}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 8.220000267028809, '2022-07-13': 8.550000190734863, '2022-07-14': 8.489999771118164, '2022-07-15': 8.890000343322754, '2022-07-18': 9.229999542236328, '2022-07-19': 9.5, '2022-07-20': 9.43000030517578, '2022-07-21': 9.479999542236328, '2022-07-22': 9.170000076293944, '2022-07-25': 9.390000343322754}, '1_month_later': {'2022-08-11': 11.449999809265137}, '3_months_later': {'2022-10-11': 10.539999961853027}, '6_months_later': {'2023-01-11': 13.130000114440918}, '12_months_later': {'2023-07-11': 15.699999809265137}}
|
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.
|
FXC
|
{'date': '2022-07-11', 'ticker': 'FXC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 74.88999938964844, 'high': 75.36000061035156, 'open': 75.0199966430664, 'close': 75.19999694824219, 'ema_50': 76.16405247184953, 'rsi_14': 51.86168917602753, 'target': 75.12000274658203, 'volume': 35500.0, 'ema_200': 76.96487221483855, 'adj_close': 73.73599243164062, 'rsi_lag_1': 48.26733795124752, 'rsi_lag_2': 44.20286783662803, 'rsi_lag_3': 44.20286783662803, 'rsi_lag_4': 41.031369422938106, 'rsi_lag_5': 41.876445786813555, 'macd_lag_1': -0.30946822012890607, 'macd_lag_2': -0.32419477893446924, 'macd_lag_3': -0.32605720119163095, 'macd_lag_4': -0.2839826502728755, 'macd_lag_5': -0.22920398789736396, 'macd_12_26_9': -0.3159424169290759, 'macds_12_26_9': -0.2884222223800409}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 75.12000274658203, '2022-07-13': 75.30000305175781, '2022-07-14': 74.58999633789062, '2022-07-15': 75.06999969482422, '2022-07-18': 75.31999969482422, '2022-07-19': 75.94999694824219, '2022-07-20': 75.9000015258789, '2022-07-21': 75.91000366210938, '2022-07-22': 75.66999816894531, '2022-07-25': 76.13999938964844}, '1_month_later': {'2022-08-11': 76.54000091552734}, '3_months_later': {'2022-10-11': 70.81999969482422}, '6_months_later': {'2023-01-11': 72.88999938964844}, '12_months_later': {'2023-07-11': 73.88999938964844}}
|
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.
|
GCBC
|
{'date': '2022-07-11', 'ticker': 'GCBC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.145000457763672, 'high': 25.80500030517578, 'open': 25.63500022888184, 'close': 25.295000076293945, 'ema_50': 24.344799531381433, 'rsi_14': 46.91160767189046, 'target': 25.26000022888184, 'volume': 13600.0, 'ema_200': 21.461821352549816, 'adj_close': 24.8684139251709, 'rsi_lag_1': 55.98559891526616, 'rsi_lag_2': 57.27392293544713, 'rsi_lag_3': 59.68672936545038, 'rsi_lag_4': 60.016350488089536, 'rsi_lag_5': 53.20946090168308, 'macd_lag_1': -0.06543807018730874, 'macd_lag_2': -0.19832254759039358, 'macd_lag_3': -0.3630105547413045, 'macd_lag_4': -0.4992047956414787, 'macd_lag_5': -0.6357406401402628, 'macd_12_26_9': 0.031841140048221916, 'macds_12_26_9': -0.314349268275455}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.26000022888184, '2022-07-13': 25.049999237060547, '2022-07-14': 23.51000022888184, '2022-07-15': 22.424999237060547, '2022-07-18': 23.924999237060547, '2022-07-19': 24.854999542236328, '2022-07-20': 24.184999465942383, '2022-07-21': 24.27499961853028, '2022-07-22': 23.584999084472656, '2022-07-25': 24.059999465942383}, '1_month_later': {'2022-08-11': 25.450000762939453}, '3_months_later': {'2022-10-11': 28.325000762939453}, '6_months_later': {'2023-01-11': 26.39999961853028}, '12_months_later': {'2023-07-11': 28.479999542236328}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GCC
|
{'date': '2022-07-11', 'ticker': 'GCC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.739999771118164, 'high': 22.96999931335449, 'open': 22.93000030517578, 'close': 22.89999961853028, 'ema_50': 24.715832127437256, 'rsi_14': 27.176229662545197, 'target': 21.950000762939453, 'volume': 55400.0, 'ema_200': 23.70023793321013, 'adj_close': 17.952381134033203, 'rsi_lag_1': 23.70370972140003, 'rsi_lag_2': 20.463338234259822, 'rsi_lag_3': 8.444464601107796, 'rsi_lag_4': 8.425740313126383, 'rsi_lag_5': 9.895855840283417, 'macd_lag_1': -0.8265570775530797, 'macd_lag_2': -0.8407564020747422, 'macd_lag_3': -0.8150871375380717, 'macd_lag_4': -0.7002134089702992, 'macd_lag_5': -0.5729352026852013, 'macd_12_26_9': -0.8131922961251412, 'macds_12_26_9': -0.6572931266422846}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 21.950000762939453, '2022-07-13': 22.09000015258789, '2022-07-14': 21.780000686645508, '2022-07-15': 21.989999771118164, '2022-07-18': 22.489999771118164, '2022-07-19': 22.64999961853028, '2022-07-20': 22.65999984741211, '2022-07-21': 22.32999992370605, '2022-07-22': 22.190000534057617, '2022-07-25': 22.40999984741211}, '1_month_later': {'2022-08-11': 23.32999992370605}, '3_months_later': {'2022-10-11': 22.1299991607666}, '6_months_later': {'2023-01-11': 17.920000076293945}, '12_months_later': {'2023-07-11': 17.420000076293945}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GCI
|
{'date': '2022-07-11', 'ticker': 'GCI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.450000047683716, 'high': 2.630000114440918, 'open': 2.609999895095825, 'close': 2.450000047683716, 'ema_50': 3.4411139378874283, 'rsi_14': 11.904755146863025, 'target': 2.650000095367432, 'volume': 1728000.0, 'ema_200': 4.407088296243151, 'adj_close': 2.450000047683716, 'rsi_lag_1': 29.629612187020285, 'rsi_lag_2': 29.62961218702027, 'rsi_lag_3': 35.95505407280608, 'rsi_lag_4': 35.555553789491725, 'rsi_lag_5': 27.35042543457905, 'macd_lag_1': -0.24149142628235465, 'macd_lag_2': -0.23073602409983707, 'macd_lag_3': -0.23401570072776767, 'macd_lag_4': -0.23479789597683132, 'macd_lag_5': -0.23543556196747684, 'macd_12_26_9': -0.26072722501618184, 'macds_12_26_9': -0.23900352244630005}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 2.650000095367432, '2022-07-13': 2.640000104904175, '2022-07-14': 2.5899999141693115, '2022-07-15': 2.650000095367432, '2022-07-18': 2.700000047683716, '2022-07-19': 2.859999895095825, '2022-07-20': 3.0, '2022-07-21': 2.930000066757202, '2022-07-22': 2.880000114440918, '2022-07-25': 2.890000104904175}, '1_month_later': {'2022-08-11': 2.5999999046325684}, '3_months_later': {'2022-10-11': 1.409999966621399}, '6_months_later': {'2023-01-11': 2.3399999141693115}, '12_months_later': {'2023-07-11': 2.5199999809265137}}
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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.
|
GCO
|
{'date': '2022-07-11', 'ticker': 'GCO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 49.45000076293945, 'high': 51.0, 'open': 50.11000061035156, 'close': 50.13999938964844, 'ema_50': 56.25146001189125, 'rsi_14': 40.95022619552865, 'target': 49.970001220703125, 'volume': 127000.0, 'ema_200': 59.53563472470411, 'adj_close': 50.13999938964844, 'rsi_lag_1': 42.41588731559847, 'rsi_lag_2': 38.03165443303745, 'rsi_lag_3': 37.287284840991305, 'rsi_lag_4': 41.57366036979145, 'rsi_lag_5': 33.43558124273922, 'macd_lag_1': -2.0328835961065934, 'macd_lag_2': -2.0157935813504224, 'macd_lag_3': -1.9728055150402852, 'macd_lag_4': -1.7976052384598091, 'macd_lag_5': -1.7728570796658047, 'macd_12_26_9': -2.023106444179305, 'macds_12_26_9': -1.8038528215466645}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 49.970001220703125, '2022-07-13': 50.38999938964844, '2022-07-14': 50.84999847412109, '2022-07-15': 52.40999984741211, '2022-07-18': 54.209999084472656, '2022-07-19': 57.900001525878906, '2022-07-20': 59.13999938964844, '2022-07-21': 59.2599983215332, '2022-07-22': 58.709999084472656, '2022-07-25': 57.2400016784668}, '1_month_later': {'2022-08-11': 63.040000915527344}, '3_months_later': {'2022-10-11': 41.20000076293945}, '6_months_later': {'2023-01-11': 47.369998931884766}, '12_months_later': {'2023-07-11': 26.39999961853028}}
|
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.
|
GCV
|
{'date': '2022-07-11', 'ticker': 'GCV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.010000228881836, 'high': 5.090000152587891, 'open': 5.010000228881836, 'close': 5.050000190734863, 'ema_50': 5.63367374576159, 'rsi_14': 45.890412301099985, 'target': 5.0, 'volume': 12300.0, 'ema_200': 6.034801211099168, 'adj_close': 4.288704872131348, 'rsi_lag_1': 47.68211167661447, 'rsi_lag_2': 40.90909090909091, 'rsi_lag_3': 41.142851537583105, 'rsi_lag_4': 45.283012077785095, 'rsi_lag_5': 36.36362760629021, 'macd_lag_1': -0.16929598023496517, 'macd_lag_2': -0.15309393995058773, 'macd_lag_3': -0.13120562907448807, 'macd_lag_4': -0.11052334284616716, 'macd_lag_5': -0.10797215798243887, 'macd_12_26_9': -0.17766740839060713, 'macds_12_26_9': -0.14272271765421596}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 5.0, '2022-07-13': 5.369999885559082, '2022-07-14': 5.480000019073486, '2022-07-15': 5.519999980926514, '2022-07-18': 5.46999979019165, '2022-07-19': 5.639999866485596, '2022-07-20': 5.820000171661377, '2022-07-21': 5.800000190734863, '2022-07-22': 5.809999942779541, '2022-07-25': 5.75}, '1_month_later': {'2022-08-11': 5.619999885559082}, '3_months_later': {'2022-10-11': 5.239999771118164}, '6_months_later': {'2023-01-11': 4.900000095367432}, '12_months_later': {'2023-07-11': 4.309999942779541}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GDDY
|
{'date': '2022-07-11', 'ticker': 'GDDY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 71.2699966430664, 'high': 72.98999786376953, 'open': 72.30000305175781, 'close': 71.95999908447266, 'ema_50': 72.75609852536667, 'rsi_14': 69.95335446792224, 'target': 70.19999694824219, 'volume': 909900.0, 'ema_200': 75.95616735896537, 'adj_close': 71.95999908447266, 'rsi_lag_1': 76.28161269597577, 'rsi_lag_2': 64.434174034697, 'rsi_lag_3': 65.8725616586005, 'rsi_lag_4': 59.076422674676174, 'rsi_lag_5': 50.259068660921564, 'macd_lag_1': -0.043287832198743104, 'macd_lag_2': -0.24626521680583835, 'macd_lag_3': -0.5414651587695829, 'macd_lag_4': -0.7780078262058225, 'macd_lag_5': -0.9912245490199751, 'macd_12_26_9': 0.033270305866736294, 'macds_12_26_9': -0.6587421543775063}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 70.19999694824219, '2022-07-13': 71.30999755859375, '2022-07-14': 68.68000030517578, '2022-07-15': 70.80999755859375, '2022-07-18': 70.52999877929688, '2022-07-19': 73.33000183105469, '2022-07-20': 74.63999938964844, '2022-07-21': 75.19000244140625, '2022-07-22': 74.0199966430664, '2022-07-25': 72.98999786376953}, '1_month_later': {'2022-08-11': 79.91000366210938}, '3_months_later': {'2022-10-11': 73.51000213623047}, '6_months_later': {'2023-01-11': 74.87999725341797}, '12_months_later': {'2023-07-11': 76.9000015258789}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GDEN
|
{'date': '2022-07-11', 'ticker': 'GDEN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/implied-pej-analyst-target-price%3A-%2453', 'news_author': None, 'news_article': "Looking at the underlying holdings of the ETFs in our coverage universe at ETF Channel, we have compared the trading price of each holding against the average analyst 12-month forward target price, and computed the weighted average implied analyst target price for the ETF itself. For the Invesco Dynamic Leisure and Entertainment ETF (Symbol: PEJ), we found that the implied analyst target price for the ETF based upon its underlying holdings is $53.34 per unit.\nWith PEJ trading at a recent price near $36.88 per unit, that means that analysts see 44.63% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Although EVRI has traded at a recent price of $17.48/share, the average analyst target is 65.90% higher at $29.00/share. Similarly, GDEN has 63.68% upside from the recent share price of $39.61 if the average analyst target price of $64.83/share is reached, and analysts on average are expecting FUN to reach a target price of $64.71/share, which is 51.45% above the recent price of $42.73. Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN:\nCombined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF. Below is a summary table of the current analyst target prices discussed above:\nNAME SYMBOL RECENT PRICE AVG. ANALYST 12-MO. TARGET % UPSIDE TO TARGET\nInvesco Dynamic Leisure and Entertainment ETF PEJ $36.88 $53.34 44.63%\nEveri Holdings Inc EVRI $17.48 $29.00 65.90%\nGolden Entertainment Inc GDEN $39.61 $64.83 63.68%\nCedar Fair LP FUN $42.73 $64.71 51.45%\nAre analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Do the analysts have a valid justification for their targets, or are they behind the curve on recent company and industry developments? A high price target relative to a stock's trading price can reflect optimism about the future, but can also be a precursor to target price downgrades if the targets were a relic of the past. These are questions that require further investor research.\n10 ETFs With Most Upside To Analyst Targets »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF. Invesco Dynamic Leisure and Entertainment ETF PEJ $36.88 $53.34 44.63% Everi Holdings Inc EVRI $17.48 $29.00 65.90% Golden Entertainment Inc GDEN $39.61 $64.83 63.68% Cedar Fair LP FUN $42.73 $64.71 51.45% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN).", 'news_luhn_summary': "Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF. Invesco Dynamic Leisure and Entertainment ETF PEJ $36.88 $53.34 44.63% Everi Holdings Inc EVRI $17.48 $29.00 65.90% Golden Entertainment Inc GDEN $39.61 $64.83 63.68% Cedar Fair LP FUN $42.73 $64.71 51.45% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now?", 'news_article_title': 'Implied PEJ Analyst Target Price: $53', 'news_lexrank_summary': "Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Similarly, GDEN has 63.68% upside from the recent share price of $39.61 if the average analyst target price of $64.83/share is reached, and analysts on average are expecting FUN to reach a target price of $64.71/share, which is 51.45% above the recent price of $42.73. Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF.", 'news_textrank_summary': "Similarly, GDEN has 63.68% upside from the recent share price of $39.61 if the average analyst target price of $64.83/share is reached, and analysts on average are expecting FUN to reach a target price of $64.71/share, which is 51.45% above the recent price of $42.73. Three of PEJ's underlying holdings with notable upside to their analyst target prices are Everi Holdings Inc (Symbol: EVRI), Golden Entertainment Inc (Symbol: GDEN), and Cedar Fair LP (Symbol: FUN). Below is a twelve month price history chart comparing the stock performance of EVRI, GDEN, and FUN: Combined, EVRI, GDEN, and FUN represent 8.65% of the Invesco Dynamic Leisure and Entertainment ETF."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.63999938964844, 'high': 38.97999954223633, 'open': 38.97999954223633, 'close': 37.650001525878906, 'ema_50': 44.1807354476498, 'rsi_14': 34.95466863240442, 'target': 38.59999847412109, 'volume': 228700.0, 'ema_200': 46.3050104862896, 'adj_close': 35.8218879699707, 'rsi_lag_1': 47.42908739814375, 'rsi_lag_2': 37.07554235171923, 'rsi_lag_3': 36.45907050086773, 'rsi_lag_4': 48.103930101057294, 'rsi_lag_5': 37.12375328656044, 'macd_lag_1': -1.57080832519663, 'macd_lag_2': -1.577946443967285, 'macd_lag_3': -1.6363961467958958, 'macd_lag_4': -1.5751972516332273, 'macd_lag_5': -1.6462458346849616, 'macd_12_26_9': -1.7036680357451175, 'macds_12_26_9': -1.5801602465623503}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 38.59999847412109, '2022-07-13': 38.5099983215332, '2022-07-14': 37.869998931884766, '2022-07-15': 39.27999877929688, '2022-07-18': 39.33000183105469, '2022-07-19': 40.93999862670898, '2022-07-20': 41.31999969482422, '2022-07-21': 41.77999877929688, '2022-07-22': 41.2400016784668, '2022-07-25': 41.81999969482422}, '1_month_later': {'2022-08-11': 42.27000045776367}, '3_months_later': {'2022-10-11': 40.11000061035156}, '6_months_later': {'2023-01-11': 37.77999877929688}, '12_months_later': {'2023-07-11': 40.209999084472656}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GDL
|
{'date': '2022-07-11', 'ticker': 'GDL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.140000343322754, 'high': 8.1899995803833, 'open': 8.170000076293945, 'close': 8.140000343322754, 'ema_50': 8.263896464292394, 'rsi_14': 50.0, 'target': 8.119999885559082, 'volume': 7500.0, 'ema_200': 8.548783256079025, 'adj_close': 7.429852962493896, 'rsi_lag_1': 48.863609270590175, 'rsi_lag_2': 47.77777660040034, 'rsi_lag_3': 55.31917699815352, 'rsi_lag_4': 50.485401834943936, 'rsi_lag_5': 39.13043117703353, 'macd_lag_1': -0.024827568633545738, 'macd_lag_2': -0.023771765012808643, 'macd_lag_3': -0.02309660965921445, 'macd_lag_4': -0.026989843742224906, 'macd_lag_5': -0.032584554629417894, 'macd_12_26_9': -0.026967231983032747, 'macds_12_26_9': -0.028085684811056087}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 8.119999885559082, '2022-07-13': 8.140000343322754, '2022-07-14': 8.199999809265137, '2022-07-15': 8.210000038146973, '2022-07-18': 8.210000038146973, '2022-07-19': 8.279999732971191, '2022-07-20': 8.279999732971191, '2022-07-21': 8.260000228881836, '2022-07-22': 8.289999961853027, '2022-07-25': 8.170000076293945}, '1_month_later': {'2022-08-11': 8.260000228881836}, '3_months_later': {'2022-10-11': 7.809999942779541}, '6_months_later': {'2023-01-11': 7.96999979019165}, '12_months_later': {'2023-07-11': 7.849999904632568}}
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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.
|
GDMA
|
{'date': '2022-07-11', 'ticker': 'GDMA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.709999084472656, 'high': 31.770000457763672, 'open': 31.71999931335449, 'close': 31.75, 'ema_50': 32.38550258424263, 'rsi_14': 36.78161927520663, 'target': 31.51000022888184, 'volume': 6900.0, 'ema_200': 32.253725531732364, 'adj_close': 30.13663482666016, 'rsi_lag_1': 30.95239022035726, 'rsi_lag_2': 22.775798779295826, 'rsi_lag_3': 18.37453234510521, 'rsi_lag_4': 17.567524028733956, 'rsi_lag_5': 24.152481415448577, 'macd_lag_1': -0.31665390765304835, 'macd_lag_2': -0.3210380344759507, 'macd_lag_3': -0.2944731746924987, 'macd_lag_4': -0.2440652402150576, 'macd_lag_5': -0.19144903423835302, 'macd_12_26_9': -0.30562191578807685, 'macds_12_26_9': -0.24220845337063665}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 31.51000022888184, '2022-07-13': 31.549999237060547, '2022-07-14': 31.59000015258789, '2022-07-15': 31.489999771118164, '2022-07-18': 31.559999465942383, '2022-07-19': 31.3799991607666, '2022-07-20': 31.350000381469727, '2022-07-21': 31.21999931335449, '2022-07-22': 31.280000686645508, '2022-07-25': 31.32999992370605}, '1_month_later': {'2022-08-11': 30.950000762939453}, '3_months_later': {'2022-10-11': 32.52000045776367}, '6_months_later': {'2023-01-11': 30.190000534057617}, '12_months_later': {'2023-07-11': 29.489999771118164}}
|
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.
|
GDOT
|
{'date': '2022-07-11', 'ticker': 'GDOT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.06999969482422, 'high': 25.600000381469727, 'open': 25.3700008392334, 'close': 25.559999465942383, 'ema_50': 26.58492112635448, 'rsi_14': 67.69456212493714, 'target': 25.75, 'volume': 234100.0, 'ema_200': 32.27424293528481, 'adj_close': 25.559999465942383, 'rsi_lag_1': 71.76307794485608, 'rsi_lag_2': 57.18990826302735, 'rsi_lag_3': 54.65368211109599, 'rsi_lag_4': 53.55249161768006, 'rsi_lag_5': 44.535525058440776, 'macd_lag_1': -0.3441612319290499, 'macd_lag_2': -0.3750526172168698, 'macd_lag_3': -0.4161533831368587, 'macd_lag_4': -0.4462688725107853, 'macd_lag_5': -0.519961443448036, 'macd_12_26_9': -0.3280022958520732, 'macds_12_26_9': -0.458876438025592}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.75, '2022-07-13': 24.76000022888184, '2022-07-14': 24.31999969482422, '2022-07-15': 25.18000030517578, '2022-07-18': 25.530000686645508, '2022-07-19': 26.780000686645508, '2022-07-20': 26.950000762939453, '2022-07-21': 27.11000061035156, '2022-07-22': 26.61000061035156, '2022-07-25': 26.38999938964844}, '1_month_later': {'2022-08-11': 23.540000915527344}, '3_months_later': {'2022-10-11': 19.3799991607666}, '6_months_later': {'2023-01-11': 17.68000030517578}, '12_months_later': {'2023-07-11': 18.76000022888184}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GDV
|
{'date': '2022-07-11', 'ticker': 'GDV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.63999938964844, 'high': 20.82999992370605, 'open': 20.799999237060547, 'close': 20.690000534057617, 'ema_50': 21.50658835907254, 'rsi_14': 72.48063448222825, 'target': 20.530000686645508, 'volume': 83600.0, 'ema_200': 23.564676516930525, 'adj_close': 18.723785400390625, 'rsi_lag_1': 76.01624503391345, 'rsi_lag_2': 57.18657038531985, 'rsi_lag_3': 57.31710224619585, 'rsi_lag_4': 50.81080384459744, 'rsi_lag_5': 41.13785713242313, 'macd_lag_1': -0.25035905087647237, 'macd_lag_2': -0.2887343714683226, 'macd_lag_3': -0.3396246932647422, 'macd_lag_4': -0.3670574668007589, 'macd_lag_5': -0.3977506546075631, 'macd_12_26_9': -0.23259640751916066, 'macds_12_26_9': -0.3420161661508261}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 20.530000686645508, '2022-07-13': 20.520000457763672, '2022-07-14': 20.18000030517578, '2022-07-15': 20.59000015258789, '2022-07-18': 20.540000915527344, '2022-07-19': 21.1299991607666, '2022-07-20': 21.32999992370605, '2022-07-21': 21.43000030517578, '2022-07-22': 21.309999465942383, '2022-07-25': 21.31999969482422}, '1_month_later': {'2022-08-11': 22.850000381469727}, '3_months_later': {'2022-10-11': 18.770000457763672}, '6_months_later': {'2023-01-11': 21.63999938964844}, '12_months_later': {'2023-07-11': 21.239999771118164}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GDX
|
{'date': '2022-07-11', 'ticker': 'GDX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.57999992370605, 'high': 27.170000076293945, 'open': 26.690000534057617, 'close': 26.64999961853028, 'ema_50': 30.971870523408228, 'rsi_14': 25.90206404119479, 'target': 26.26000022888184, 'volume': 19039300.0, 'ema_200': 33.09100737571112, 'adj_close': 25.78308868408203, 'rsi_lag_1': 26.036268277931256, 'rsi_lag_2': 31.501828516094506, 'rsi_lag_3': 32.49097854083952, 'rsi_lag_4': 30.303032897797195, 'rsi_lag_5': 27.522939704071305, 'macd_lag_1': -1.3801257813683776, 'macd_lag_2': -1.3785537601156435, 'macd_lag_3': -1.3666774553192091, 'macd_lag_4': -1.2939674084188475, 'macd_lag_5': -1.1996505089089062, 'macd_12_26_9': -1.3983360333529014, 'macds_12_26_9': -1.2613557323081293}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 26.26000022888184, '2022-07-13': 26.82999992370605, '2022-07-14': 25.709999084472656, '2022-07-15': 25.59000015258789, '2022-07-18': 25.709999084472656, '2022-07-19': 26.020000457763672, '2022-07-20': 25.26000022888184, '2022-07-21': 25.739999771118164, '2022-07-22': 25.40999984741211, '2022-07-25': 24.59000015258789}, '1_month_later': {'2022-08-11': 26.6200008392334}, '3_months_later': {'2022-10-11': 23.809999465942383}, '6_months_later': {'2023-01-11': 31.56999969482422}, '12_months_later': {'2023-07-11': 30.239999771118164}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GBX
|
{'date': '2022-07-11', 'ticker': 'GBX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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-greenbrier-companies-gbx-q3-2022-earnings-call-transcript', 'news_author': None, 'news_article': "Image source: The Motley Fool.\nThe Greenbrier Companies (NYSE: GBX)\nQ3 2022 Earnings Call\nJul 11, 2022, 11:00 a.m. ET\nContents:\nPrepared Remarks\nQuestions and Answers\nCall Participants\nPrepared Remarks:\n\nOperator\nHello, and welcome to The Greenbrier Companies' third quarter of fiscal 2022earnings conference call [Operator instructions] At this time, I would like to turn the conference over to Mr. Justin Roberts, vice president of corporate finance. Mr.\nRoberts, you may begin.\nJustin Roberts -- Vice President and Treasurer\nThank you, Sarah. Good morning, everyone, and welcome to our conference call. Today, I am joined by Bill Furman, Greenbrier's executive chairman; Lorie Tekorius, CEO; and president, Brian Comstock, executive vice president and chief commercial and leasing officer; and Adrian Downes, senior vice president and CFO. Following our update on Greenbrier's performance and our outlook for fiscal 2022, we will open up the call for questions.\nIn addition to the press release issued this morning, additional financial information and metrics can be found in a slide presentation posted today on the IR section of our website. Matters discussed on today's conference call include forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Throughout our discussion today, we will describe some of the important factors that could cause Greenbrier's actual results in 2022 and beyond to differ materially from those expressed in any forward-looking statements made by, or on behalf, of Greenbrier. And with that, I will hand the call over to Mr.\n10 stocks we like better than The Greenbrier Companies\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 The Greenbrier Companies 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\nFurman.\nBill Furman -- Executive Chairman\nThank you, Justin. Well, I've had the pleasure of participating in every quarterlyearnings callsince Greenbrier became a public company in 1994. Our IPO occurred almost exactly 28 years ago on July 14, to be exact. Today is my finalearnings callafter turning over to the management of the company to our new CEO, Lorie Tekorius.\nI'm very pleased about all that. I'll briefly offer some comments in Greenbrier in where, I believe, the company has been and where we're headed under Lorie and our team. My late partner, Alan James, and I started Greenbrier in 1981. We wanted to create a company that would someday grow beyond our own skills and influence.\nAnd we did. It was a remarkable journey for both of us and for Greenbrier. We purchased Greenbrier Leasing in 1981 from Commercial Metals Company for $4 million. It was located in Huntington, West Virginia at the time and owned 358 railcars, many of which were leased to Goodyear Tire and Rubber Company.\nWe entered manufacturing with a single facility in Portland, Oregon in 1985. Today, manufacturing operates on four continents at 12 locations. This is our largest business unit, comprising over 80% of our total revenues for the trailing 12 months. Railcar leasing and management services is our second largest core business with assets of nearly 700 million.\nSince our IPO in 1994, Greenbrier's annual revenues increased from 321 million during his first full fiscal year to close to 3 billion at the end of this year. When we concluded fiscal 1994, our backlog was approximately 3,000 units with a value of 150 million. Today, our backlog is nearly three 31,000 units with a value of 3.6 billion. At the time of our IPO, we managed approximately 36,000 railcars.\nMoving up from the 358 we began with in 1981. Today, we manage over 430,000 railcars, more than 25% of the entire North American fleet. We started with an employee base of less than 10 people. Now, we employ more than 15,000 employees serving global markets worldwide.\nSo, today, Greenbrier has grown to be a leading freight transportation manufacturers supplier service provider with a global reach that positions it for continued growth. Our ability to adapt and seek continuous improvement has led to growth on scale, It's a legacy that I know the current management team at Greenbrier respects. They helped create this growth, and I know that this will continue. Lorie Tekorius has been part of Greenbrier for 25 years, is highly skilled at making good businesses better.\nShe's had very serious operating experience and has a commercial background and a good, strong team in both areas as well. Lorie will continue to drive innovation at Greenbrier to improve its ROIC and its TSR. I expect her and the board expects her to expand our leasing and services business, which generate stable cash flows to offset the cyclicality of new railcar demand. In closing, I'd like to say I feel privileged to have enjoyed a lengthy tenure at Greenbrier.\nExtended careers leading publicly traded companies today are exceedingly rare. I thank our board of directors and our shareholders for their confidence in me throughout. And mostly. I'm grateful for the personal relationships I've made with so many men and women who helped build Greenbrier.\nIt's been a unique honor to have worked with so many talented and dedicated people at all levels of our business. And beyond the walls of Greenbrier, I appreciate all those I've worked with and had the privilege of working with in the communities where we operate. This includes our joint venture partners, our customers, our suppliers, advisors, bankers, equity analysts, members of Congress, others in the U.S. government and in other governments all over the world.\nAll of these are valued relationships that enhanced our business, and they also enriched my life in countless ways. To all of you on today's call, I want to thank you for our association. I'm grateful for the opportunity to represent Greenbrier here today and other settings. With some wistfulness but not regret, I leave my time as a Greenbrier executive officer with the sense of accomplishment.\nAnd, certainly, there's unfinished business. But I know that not all business can ever be finished. Going forward, my role will be in the boardroom, helping Lorie and her team grow Greenbrier for generations to come. I won't be on the board for generations to come, only for 2023.\nBut as a fellow investor, I look forward to listening to these calls along with you in the future quarters. This is -- there is no doubt in my mind that you will be hearing great things from Lorie and from Greenbrier as we move ahead. Thank you. And, Lorie, over you.\nLorie Tekorius -- President and Chief Operating Officer\nThank you, Bill, and good morning, everyone. I appreciate you joining us today for a review of our operating results and our perspective on market conditions. Before I discuss the quarter, I'd like to thank the men and women of Greenbrier who work hard to serve the rail freight industry everywhere we operate. I am proud to lead such a fine group as integral to the movement of essential commodities and provides the foundation for Greenbrier to address our customers' needs through innovative equipment and services.\nAnd, now, turning to the quarter, I'm pleased that Greenbrier delivered a solid operating result. The value of our integrated business model was clearly demonstrated by the meaningful impact of our leasing platform, including strong syndication activity. During a quarter it was characterized by a rapidly changing macroeconomic landscape. Likewise, our maintenance services business continued to gain momentum.\nThe dilutive impact of passthroughs of input cost escalations and reduced production in Europe due the impacts from the war in Ukraine were headwinds to margins. And despite these headwinds, our aggregate gross margins trended up 21.5 million or 39% sequentially as we move through the second half of our fiscal year. In our core North American market, railcar production increased. This required a workforce expansion of over 1,500 people while successfully contending with a volatile supply chain.\nOverall, the manufacturing leadership team performed well with sequential margin improvement of $19 million or 91% during one of the more complicated production ramps in our history. In Europe, the war triggered a slowdown in production and a pause in order activity after securing orders for 2,300 railcars in the first half of our fiscal year. Europe's economy is recalibrating to the realities of the continuing conflict, with the impacts being felt across the value chain. Pricing and availability of critical materials, such as steal, have improved, albeit not to pre-war levels.\nAnd customers are returning to the market. In maintenance services, strong volumes led to improved profitability. We continue to gain momentum at the action plan we implemented to increase efficiencies and our repair facilities improves our results. Across the economy.\nUncertainties regarding inflation, interest rate, commodity prices, and supply chain issues have raised recession fears. At the same time, unemployment's low, wages are rising, and consumers still hold meaningful savings accrued over the pandemic. It's times like these when the strength and significant experience of our leadership team and the flexibility of our business model produce strong, steady results. As we enter the final quarter of our fiscal year, we're encouraged by our momentum and invigorated to finish the year strong.\nWe believe the current challenges in the North American rail system like network congestion, present opportunities for our business in the months ahead. Strong customer inquiries and shipper outlook are encouraging indicators of future order activity and leasing performance. Our backlog is diversified among a variety of railcar types and extends well into calendar 2023. And, finally, I'm confident in our team's ability to execute in any type of market conditions.\nAnd with that, I'll turn it over to Brian to discuss railcar demand environment and our leasing activities.\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nThanks, Lorie, and good morning, everyone. In Q3, Greenbrier secured new railcar orders of 5,000 units, valued at 670 million. With deliveries of 5,200 units in the quarter. Our book-to-bill ratio was nearly 1.\nWe maintain our market leading position in North America. At the end of calendar Q1, orders for Greenbrier comprised 48% of the total North American industry backlog. Our diversified backlog currently stands at nearly 31,000 units, with a total value of 3.6 billion. Customer inquiries remain high, and we see ongoing industry investment from all categories of customers.\nAccording to FDR Associates, new railcar deliveries are expected to be 42,000 and 53,000 units in 2022 and 2023, respectively. Total railcars and storage are approximately 286,000 units units. Levels last seen in 2018. Grab cars are expected to exceed new railcar deliveries for the third consecutive year, causing the North American fleet to shrink.\nThe combination of a shrinking fleet and decreased railcars and storage increases railcar utilization and adds pressure on fleet availability in North America. As a reminder, our new railcar backlog does not include 3,100 units valued at more than 220 million that are part of Greenbrier's railcar refurbishment program. Our refurbishment program is an important part of ensuring rail remains the most environmentally friendly mode of service transport. Importantly, we continue to operate in a strong North American leasing market for new originations and lease renewals.\nThis validates the significant expansion of our lease fleet over the last 18 months. Our leasing team continues to perform ahead of expectations, as we scale this business with an old fleet totaling 11,800 railcars at the end of the quarter. Police pricing on renewals has increased into the double digits in fiscal 2022, while fleet utilization remains strong at 98%. We are very focused on protecting our economics through our lease agreements by hedging our debt balances, the factor for inflation and rising interest rates.\nDuring the quarter, we fixed our remaining leasing term debt to its maturity date of August 2027. Syndication activity in Q3 totaled 800 units, maintaining our strong activity this year with our partners. As a reminder, syndication revenue is the additional revenue in excess of what is derived from a new railcars sale that is created from the sale of a new railcar with a lease attached. Beginning in Q1 of fiscal 2022, we sought to demonstrate our enhanced leasing strategy in our financial reporting by moving syndication revenue from manufacturing to our leasing segment.\nThis aligns revenue dollars with the syndication activities performed by our capital markets group who work in the leasing. This change also reflects our commitment to monitor overall margin dollars and percentages by segment. Growth of Greenbrier's consolidated margin is, of course, our end goal. Greenbrier's management team is experienced, and our business model is flexible.\nWe are energized and optimistic about our ability to serve our customers and perform well in our markets. This leaves us well-positioned to successfully navigate these next two stages of recovery from the pandemic and the prevailing forces at work in the economy at any particular time. Adrian will now speak to the highlights in the third quarter.\nAdrian Downes -- Senior Vice President and Chief Financial Officer\nThank you, Brian. And good morning, everyone. Today, I will discuss highlights from our third quarter. I'd like to remind our listeners today that quarterly financial information is available in the press release and supplemental slides on our website.\nI will provide additional color at the close of my remarks as we are refining fiscal year 2022 guidance today. Items of note in the third quarter include aggregate gross margins of 9.6%, reflect higher deliveries, and improved operating efficiencies in manufacturing and maintenance services. Headwinds in Europe as a result of the war in Ukraine and passthrough of inputs, cost escalations partially offset the improved efficiencies by approximately 200 basis points. As a reminder, the passthrough as input cost escalations increase our revenues, safeguard our gross margin dollars, but are dilutive to gross margin percent.\nSelling and administrative expense of about 57 million is higher sequentially, reflecting increased employee-related costs, consulting, and trial expense from increased business activity. Interest expense of about 15 million is a result of higher borrowings and increases in interest rates on our floating rate revolving facility. In the quarter, we also recognized 1.1 million of gross costs specifically related to COVID-19 employee and facility safety. This is approximately 47% lower than Q2, in line with reduced impact from COVID.\nReimbursed liquidity of $535 million at the end of Q3 consisted of cash of 450 million and available borrowings of 85 million. The sequential reduction reflects increased working capital, and increase in leased railcars held for syndication, and reduced borrowing capacity resulting from the sale of legacy lease fleet assets in Q2. In Q4, we expect liquidity will grow due to higher levels of cash from improved operating results, stabilization of working capital, and increased borrowing capacity resulting from more railcars placed in our balance sheet during Q3. Our net weighted average maturity is about five years, with an average interest rate below 4%.\nBecause of the strength of our balance sheet, we are confident in our ability to navigate the volatility of the current market. As highlighted in prior quarters, we expect to receive a large portion of our $106 million tax receivable in fiscal Q4. However, this could occur later due to processing delays at the IRS. This refund is in addition to Greenbrier's available cash and borrowing capacity.\nToday, we announced the Greenbrier's board of directors declared a dividend of $0.27 per share, our 33rd consecutive dividend. Based on Friday's closing price, our annual dividend represents a dividend yield of approximately 3.3%. Since reinstating the dividends in 2014, Greenbrier has returned over $385 million in capital to shareholders through dividends and share repurchases. Based on current business trends and production schedules, we are adjusting Greenbrier's fiscal year 2022 outlook to reflect the following.\nWe are increasing the low end of our delivery guidance. Our updated fiscal year 2022 deliveries guidance is 18,500 to 19,500 units, which includes approximately 1,500 units from Greenbrier Maxion in Brazil. As a reminder, in fiscal 2022, approximately 1,700 units are expected to be built and capitalized into our leased space. This is an increase of about 300 units from our prior guidance and is reflected in the modestly higher leasing capital expenditure guidance for the year.\nThese units are not reflected in the delivery guidance provided. As a reminder, we consider our railcar delivered when it leaves Greenbrier's balance sheet and is owned by an external third party. Selling and administrative expenses are expected to be approximately 210 million to 215 million for the year. Gross capital expenditures of approximately 310 million in leasing and management services, 50 million in manufacturing, and 10 million on maintenance services.\nNet of proceeds from equipment sales of 155 million leasing capex is expected to be 155 million. Gross margin percent is expected to increase sequentially in Q4, with margins expected to be between low double digits and low teens. Before we head into the Q&A portion of the call, I would like to reiterate a few of the key takeaways. We were supported by a robust backlog, which provides strong earnings visibility.\nAnchored by an agile and experienced management team, Greenbrier will continue to successfully navigate the challenges we have faced during our fiscal year. Our liquidity and balance sheet strength protects our business during volatile times and positions us to be opportunistic when the right opportunities present themselves. As we look to strongly finish our current fiscal year, we are well-positioned to drive shareholder growth and value entering fiscal 2023. And, now, we will open it up for questions.\nSarah?\nQuestions & Answers:\n\nOperator\n[Operator instructions] Our first question comes from Justin Long with Stephens. Please go ahead.\nJustin Long -- Stephens, Inc. -- Analyst\nThanks. Good morning. And, Bill, since this is the last call, I just wanted to say congratulations again on a great run.\nBill Furman -- Executive Chairman\nThank you. Thank you very much. Enjoyed working with you.\nJustin Long -- Stephens, Inc. -- Analyst\nSame here. Adrian, maybe to just follow up on the comment you made about fourth quarter gross margins on a consolidated basis being in that low double-digit to low teens range, can you provide a little bit more color on the manufacturing gross margins that you're assuming in the fourth quarter within that guidance? And maybe speak to the difference you're seeing in North American gross margins versus European gross margins right now, given some of the disruptions you referenced.\nAdrian Downes -- Senior Vice President and Chief Financial Officer\nYeah. As you might imagine, the North American gross margins are quite a bit higher than Europe, and that would continue into Q4. And as you might expect, that level of increase in consolidated margins and would be driven primarily by improvement in North American manufacturing margins as well. So, you would have to see manufacturing margins, you know, in the double digits as well.\nJustin Long -- Stephens, Inc. -- Analyst\nOK. That's helpful. And in terms of order activity, I know you talked about European activity for new railcars picking back up, but I just wanted to be clear. Are you seeing orders from Europe quarter to date? And overall, as you think about order activity quarter to date, how would you say that it's tracking relative to the 5,000 orders that you just posted in fiscal second quarter?\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nHey, Justin, this is Brian. So, I'll take that. So. So, I'll start with North America.\nSo, in North America, the cadence continues to be very similar to what we've seen over the last couple of quarters. We haven't seen any appreciable slowdown at this stage. And things look -- we're off to a pretty good start here in the quarter. For Europe, now that things are settled in and there's a bit of normalcy as much as there can be in Europe, we're starting to see customers come back to the table.\nAnd we have began to secure orders again. So, it started to stabilize a little bit over there as well.\nJustin Long -- Stephens, Inc. -- Analyst\nOK. Helpful. I'll leave it there. I appreciate the time.\nOperator\nOur next question comes from Mat Elkott with Cowen. Please go ahead.\nMatt Elkott -- Cowen and Company -- Analyst\nGood morning. Thank you. And I want to reiterate. Congratulations to Bill on the accomplishments over the last few decades here.\nGreat working with you all this time. Staying on the Europe front, did you guys mention how many deliveries you have in Europe in the quarter, and how many deliveries in the fourth quarter?\nJustin Roberts -- Vice President and Treasurer\nWe did not explicitly get into that. I would say that there were less than a thousand cars delivered in fiscal Q3. And we would expect something similar in fiscal Q4. This is a pretty significant step-down from where we were at pre-war from an expectations perspective.\nMatt Elkott -- Cowen and Company -- Analyst\nOK, got it. And should -- so, we should expect that -- borrowing and, you know, unexpected macro and geopolitical developments, should we expect that to ramp up to normal levels next year?\nJustin Roberts -- Vice President and Treasurer\nI think that's the plan and that's what we're working toward at this point. We have seen that I would reiterate, it is a fluid environment and some important negotiations with customers to get completed. But at the end of the day, that's what we see. But it is a very challenging environment over there, where everybody is basically experiencing pain.\nMatt Elkott -- Cowen and Company -- Analyst\nYes, understood. And Justin and Brian probably, has the mix of orders changed in North America? I mean, the recovery so far in the last two years has been driven mostly by freight cars. But it seems like the tank car markets, on the leasing side at least, is tightening a bit in recent months. So, should we expect that to eventually hit manufacturing orders? And then the other way, I'd like to see if the order mix has changed, had the mix of buyers changed more in favor of shippers and railroads as opposed to lessors? Because it seems to me like if you're a lessor, the return dynamics or, you know, additions to the fleet don't seem super compelling right now, given equipment cost and interest rates going up.\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nYes. So, this is Brian, Matt. All good questions. So, we have been seeing this year and I think we'll continue to see that the predominant buyers in the marketplace are shippers.\nA lot of our leasing activity that we're originating is going directly to shippers, as well as we're seeing more product being purchased by shippers as well. As far as the mix question goes, we're continuing to see that pretty much the same diverse mix of product. You now, t's everything from box cars to covered hopper cars. There is still a nice tank car under tone that's been keeping us very busy, and a number of other car types as well.\nMatt Elkott -- Cowen and Company -- Analyst\nOK. You know, so, that's very helpful. But back on the shipper versus lessor side, I guess, you really haven't seen much large orders by lessors. What do you think it will take for that to change? I mean many lessors are looking at utilization rates in the '90s, some in the high '90s.\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nI think you're --\nMatt Elkott -- Cowen and Company -- Analyst\nYeah, go ahead.\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nYeah. I think you're at that inflection point now. I think as commodity prices begin to moderate, which we're seeing, hot-rolled coil, plate is still standing pretty strong but hot-rolled coil is coming down. We're seeing signs, and, you know, the scrap surcharges are starting to ease a bit.\nAnd so -- and you do have operating lessors that have an investment appetite that have been sitting on the sidelines. So, I think we're basically hitting that inflection point now, a little bit of moderation in commodities. We'll bring them back. As you said, very high utilization rates.\nAnd a shrinking fleet is putting a lot of pressure on demand.\nMatt Elkott -- Cowen and Company -- Analyst\nGreat. Thank you very much.\nOperator\nOur next question comes from Allison Poliniak with Wells Fargo. Please go ahead.\nAllison Poliniak -- Wells Fargo Securities -- Analyst\nHi. Good morning. And, Bill, congrats to you. You certainly left Greenbrier in good hands with Lorie and team there, so best of luck.\nI just want to go back, I think, Lorie, with your comment on rail congestion. You know, certainly, it's been a benefit to cars. And one of the concerns out there is as congestion starts to ease, maybe that starts to leasing the supply network up a little bit. Just any thoughts on how you're viewing that? Is there a strong enough underlying demand to continue sort of this path on new car interest here?\nLorie Tekorius -- President and Chief Operating Officer\nThe short answer is, yes, I do think so. I think as the congestion eases, that's going to allow a lot of folks to really put their focus back on shipping commodities via the rail where maybe they've pulled back a little bit during the supply chain difficulty and with some of the congestion. You know, rail transportation is the most efficient. It's got the lowest carbon footprint.\nSo, there's a lot of desire to move more product via the rail. The railroads themselves just need to sort through this congestion issue, which, I think, we're all reading in the papers that it's impacting all of us, right? It has to do with labor shortages, the timing of things. It just takes a little bit to get this all worked out. I do know that the railroads are very focused on figuring out how they can sort through this.\nSo, all that being said, I think there will be continuing demand. It may not be kind of going to some of the high driving up peaks and dropping back down. And congestion is one of those things that, as we all know, it cuts two ways, right? As we incur a bunch of congestion, it could increase costs, or it could cut costs. So, that's -- I think it's going to be an area where we continue to see demand.\nAllison Poliniak -- Wells Fargo Securities -- Analyst\nThat's great. Thanks. And then just leasing, I might have missed this. But, obviously, double digit, I think you mentioned renewed lease rates.\nWhere are we with terms? Are you starting to see that extend in terms of the terms of the leases at this point? Or are we still early stages there? Just any color.\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nNo. We've -- it's a good question, Allison. This is Brian. We've seen now for the past few quarters, really extended terms on a lot of these transactions.\nAnd, quite frankly, we're pushing extended terms, given where interest rates and things are. So, yeah, I would say that terms, quite frankly, are much more extended than they've been in quite some time.\nAllison Poliniak -- Wells Fargo Securities -- Analyst\nGreat. Thank you.\nOperator\nNext question comes from Bascome Majors with Susquehanna. Please go ahead.\nBascome Majors -- Susquehanna International Group -- Analyst\nSo, going back to the customer questions from earlier, can you talk a little bit about the syndication channel, how your core customers there are faring? And what their response has been to an environment of higher asset prices and higher interest rates?\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nYeah. The syndication channel, first off, has been very liquid, and we continue to have great partners working in that aspect. As it relates to higher equipment costs and interest rates, at the end of the day, we always have to have those conversations. But, you know, the people that we transact with are -- you know, they understand what's going on.\nThey understand what's happening in the interest rate world, they see it on their mortgages, they see in their everyday world. And so, they can translate that into the additional costs expected. We have not seen any failure to get or to pass through any of those costs at this point.\nJustin Roberts -- Vice President and Treasurer\nAnd if I could just add one thing. I mean, with the rise in interest rates, the rise in asset prices, there's also a rise in lease rates, and so our syndication partners are generating stronger lease returns as well.\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nYup.\nLorie Tekorius -- President and Chief Operating Officer\nAnd it's also bringing up the value of existing fleets, right? So, we're talking -- we're very focused around right now of what's being produced right now. But as some of these partners have larger fleets, they're seeing -- as renewals come up, we're also seeing that benefit in the renewals of some of their existing fleets.\nBascome Majors -- Susquehanna International Group -- Analyst\nTo that point, you know, you have historically, at least in recent years, shown some level of seasonality with the syndication cadence. And it's typically been a bit heavier in the fourth quarter. It's hard to tease that specifically out of the guidance the way it said. But are you seeing that? Is there anything that would keep that typical or at least recently typical 3Q to 4Q bridge of higher deliveries a little more muted this time? Just trying to dig through that.\nThank you.\nLorie Tekorius -- President and Chief Operating Officer\nSure. And I think that it's a matter of seasoning some of the assets that are on our balance sheet. It's also a matter of when those cars are being built in our manufacturing facilities. As we mentioned earlier, we have been ramping up production.\nSo, from a sequential basis, you may see a little bit more but that's not because we're just holding it for the fourth quarter or something like that. It's just related to our levels of production and the timing of when some of our partners would like to take those assets.\nBascome Majors -- Susquehanna International Group -- Analyst\nThank you for that. As we look into next year, obviously, there's not a lot of incentive to get super precise given the uncertainties globally in a lot of different regions and businesses that you operate in. But as we think about the run rates into 2023, can you give us a little color on few things you have visibility into, whether it's the backlog that's scheduled for fiscal '23 delivery, SG&A reversals, and in some of the working capital build? Just anything we can think about to kind of book in the range of outcomes in our models would be really helpful. Thank you.\nLorie Tekorius -- President and Chief Operating Officer\nSure. I'll give a little bit of color there. As I think everyone has mentioned in their prepared remarks, we do feel very comforted by the large backlog that we have. It allows us to have production schedules that go out well into calendar 2023 to give us an idea of how we'll be able to build.\nWe are being mindful to not, again, have a large run-up and then be having to pull back on our workforce. Having a steady workforce, having steady production is one of those things that helps us to drive more efficiency through the manufacturing process. When it comes to SG&A and even some of the manufacturing, as well as our other businesses, you know, we all know that inflation is here. We're having those impacts, particularly within our workforces.\nWe're very mindful of making certain that we are paying attention to retaining the talent that we have. That will require some additional employee-related costs. Interest rates have gone up. I think the team has done a great job of locking in with hedging at lower rates than what you might see in today's market, but they're definitely higher than what we've had historically.\nSo, I think, overall, as I think about our fiscal 2023, I should say, well, we're not going to be giving explicit guidance. We do see kind of, you know, maybe what might be a little bit of a nice suite, steady ramp-up and staying at some sort of a steady basis, which would be, I think, something the entire manufacturing group would enjoy across our industry.\nBascome Majors -- Susquehanna International Group -- Analyst\nIt sounds like -- I'm sorry, go ahead.\nAdrian Downes -- Senior Vice President and Chief Financial Officer\nYou mentioned working capital as well. So, working capital tends to lead into the higher production rates. So, as our -- as we finish our ramp up, we should see some efficiencies in our working capital. And as we see some commodity prices moderating or declining, again, we would expect that to be favorable to our working capital and drive cash as that reduces next year.\nSo, a lot of uncertainty there, obviously. But, you know, I think what we see today, we would expect to see some improvements there.\nLorie Tekorius -- President and Chief Operating Officer\nThanks for catching that.\nBascome Majors -- Susquehanna International Group -- Analyst\nOK. Thank you all.\nOperator\nOur next question comes from Ken Hoexter with Bank of America. Please go ahead.\nKen Hoexter -- Bank of America Merrill Lynch -- Analyst\nGreat. Good morning. And, Bill, I'll echo the congrats on forming a great company and the job you've done. And it must have been a great stay at the Greenbrier Hotel to have the name stick all these years.\nMaybe I'll go, I don't know if it's Lorie or Adrian, but on the margins impacted by 200 basis points, you mentioned on supply chain and gross margin pressure, maybe talk a bit about where -- I think you were targeting maybe low teens into the third quarter and certainly into next quarter. Maybe talk about what -- where did it miss internally to get there? Was that supply chain cost? Was that other costs? Was that the pricing not keeping pace with the inflation cost? Maybe just talk us through some of the cost side there.\nJustin Roberts -- Vice President and Treasurer\nHey, Ken, this is Justin. Just to clarify, I think last quarter, we spoke to kind of low double digit to low teens in Q3 into Q4. If you're going to take the 9.6% consolidated and add back the 200, that gets you into kind of 11.5% which gets us into that low double-digit range. So, I think we ultimately felt like we accomplished quite a bit and did what we guided to last quarter.\nIt just was -- there's definitely some headwinds out there, especially from the escalations in European activity. And, fortunately, we do see that there's enough upside in efficiencies that we're gaining in North American manufacturing that will see further improvement in Q4 and going forward.\nKen Hoexter -- Bank of America Merrill Lynch -- Analyst\nOK. And then on the -- it sounds like the lease fleet climbed a little bit on the balance sheet versus the total build. You lifted the bottom end of your build range, you kept the top end. So, it looks like you've kept more on the balance sheet despite what's going on in Europe.\nSo, if we've got a book-to-bill that fell down to 1.0 lease utilization falling, maybe just give your view on -- it sounds like -- Lorie talked a lot about the congestion at the railroads and, obviously, increased demand. What is your feeling on the state of the market now?\nLorie Tekorius -- President and Chief Operating Officer\nI would say our feeling on the state of the market is cautiously optimistic, and we are seeing a lot of things that when you get deeper beyond just the headlines that you see, we see demand by a number of shippers to add equipment to the rails, to be able to ship more products via the rails. We are seeing that sort of steady, encouraging improvement. And on lease fleet utilization, I don't think we had a drop-off. I think we've stayed steady at 98% utilization.\nAnd I think that is just another indicator that the market is using all the equipment that they can that's out there. And once there's a bit better fluidity on the rails, you're likely going to see more equipment being brought in. The other thing that goes on as you've got some equipment that's probably aged out is inefficient. And so as it's possible, that will probably continue to get scrapped and moved into more efficient rail equipment.\nThat's one of the things that we enjoy working with a lot of our customer partners on is innovation on designs of railcars that are improved technology.\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nKen, this is Brian. On the lease fleet utilization, I just want to hit on one point. With a fleet size of 11,800 cars, it doesn't take many cars to change a percentage or two. You know, a lot of those leases are transitioning from one lease to another.\nThey're not necessarily storage. It's -- you know, they're going from one customer to another, and they have to go through shop and get repaired. So, when you look at 98%, we really feel like we're as close to 100% as we could be, just given the dynamics of how leasing works.\nKen Hoexter -- Bank of America Merrill Lynch -- Analyst\nSo, maybe just --\nAdrian Downes -- Senior Vice President and Chief Financial Officer\nAnd, Ken, we did -- we talked about in the low end of our delivery guidance. And deliveries are sales to third parties. So, the additional investments in our lease fleet that we've talked about and what's gone on to our balance sheet is separate from those deliveries. So, it's not driving in those deliveries.\nYes.\nKen Hoexter -- Bank of America Merrill Lynch -- Analyst\nRight. No, I know that's why it was -- it seemed like an encouraging statement if you're lifting the bottom end and putting more into the lease fleet. So, just maybe to follow up on that, if I can. It seems like you talked about pricing keeping pace with inflation as your passthrough.\nTypically, we've seen -- you talked about earlier, the values in a rising rate environment on your fleet value. I think in the '80s, you had -- maybe this is more of a Bill question, but you had tax benefits that encouraged investment. You know, what's the environment like today? Is this just more kind of just straight demand. Is there any encouragement in a rising rate environment where you see a focus more on subscribing for assets?\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nThis is Brian, Ken. The demand is really demand-driven. It's -- we're not seeing people coming in necessarily for the investment, although the investments are good, and our syndication partners are happy with the returns. But the orders that we're seeing are for either expansions or replacement cars, you know, as the fleet contracts.\nIt is demand-driven.\nKen Hoexter -- Bank of America Merrill Lynch -- Analyst\nAll right. Appreciate the time, everyone. Thank you.\nOperator\n[Operator instructions] Next question comes from Steve Barger with KeyBanc Capital Markets. Please go ahead.\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nHey. Good morning, everyone. And, Bill, congratulations to you. I hope you have a great next chapter.\nBill Furman -- Executive Chairman\nThank you very much. I appreciate it.\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nYou bet. Several of you kind of mentioned the chaotic macro environment. A lot of questions have been directed that way. You all still sound cautiously optimistic.\nAnd I think Brian said inquiry activity is still good. So, just to ask the question directly, are your customers talking about recession or expressing fears that their own business is set to decline?\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nYou know, I think everybody's got an eye on the finish line and everybody is being smart about what they do. Our customers, you know, aren't necessarily focused on recession as much as they're focused on trying to get their product to market. As you know, the truck market is pretty congested. They're having issues.\nThe rail velocity is congested. And so, there's still a lot of supply chain constrictions. That's really what people are focused on, is how do we get our product to market and how do we grow share on rail. And, unfortunately, as Lorie said earlier in her comments, it's being restricted at this point.\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nRight. Well, with the inflationary pressures that you've talked about, new car pricing is higher. Have you booked cars so far in 4Q?\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nYes.\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nGreat. And, Adrian or Justin, going back to the margin conversation or maybe more importantly, gross profit per car. I hear you on feeling like you accomplished a lot this quarter given the challenges. But I think it's fair to say that year-to-date manufacturing results have been falling short of how we and probably you were thinking about at the start of the year.\nCan you just be more specific on what drives that improvement going forward?\nJustin Roberts -- Vice President and Treasurer\nYeah. I think I'll start and then Adrian can correct me where I'm wrong, or fill in any gaps. It's -- I think a big piece is, well, one, I would say, yes, it's been a challenging year. And I think more challenging than when we started six months ago or even -- I'm sorry, probably closer to 10 months ago.\nA production ramp of this size and magnitude is challenging in and of itself. But then when you layer in the challenges of the supply chain and delta and omicron variants in the first six months of the year, it really created a very, very chaotic challenging environment. Now, what we see going forward and what we've started to experience in Q3 is the actual efficiencies start to manifest as you're increasing your production, you're absorbing more overhead and you're reaching those stabilized production rates that allows more profit to fall through to the margin and, therefore, bottom line. I mean we're seeing that manifesting -- and then especially down in Mexico, where much of the ramp is occurring, you see substantial improvements each quarter sequentially and into the fourth quarter.\nWell, we see it, you don't necessarily see those specific facilities. But you will see that flow through on the margin line.\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nGot it. And I know that orders have been kind of lower volume, higher mix which has its own challenges as well. Is that -- are those line changeover issues more behind you as well? And I think the pricing was supposed to get better. Is that starting to flow through?\nLorie Tekorius -- President and Chief Operating Officer\nI would -- before Brian jumps in, I would say, yeah. I mean, I think as we looked at this fiscal year earlier on, we expected, as Justin said, some of the ramping to occur a little bit sooner than what it actually occurred because of things like supply chain, COVID, and the impact on bringing back a workforce. I think our manufacturing team has done an amazing job of bringing back that workforce. It just took us a little bit longer to get that traction, so --\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nYes. No, I agree, Lorie. You nailed it. We're just -- you know, we're a little bit behind the ramp-ups but the ramp-ups are nearly behind us.\nPricing continues to improve, and the outlook looks good.\nLorie Tekorius -- President and Chief Operating Officer\nYeah. And I think the crazy thing is we're pleased that in our contracts, we do have the passthroughs of cost escalations which does, I think as Adrian said, very -- trying to be very clear about this, which it drives an increase in revenue but is a headwind to margin percentage because our focus is -- while our focus is on margin percentage, it's also focused on margin dollars. So, we're keeping those margin dollars neutral. But math just recreates a headwind to margin percentage.\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nNo, I understand that. But you look at the revenue per car this quarter and the gross profit per car, and you're still kind of trailing where, you know, historically you have been.\nLorie Tekorius -- President and Chief Operating Officer\nFair enough. And I think Europe was a big piece of that as well when you look at those manufacturing margins.\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nUnderstood. Thanks.\nOperator\nThis concludes our question-and-answer session. I would like to turn the call back over to Mr. Justin Roberts for any closing remarks.\nJustin Roberts -- Vice President and Treasurer\nI just wanted to say thank you very much for your time and attention today. If you have any follow-up questions, please reach out to me at either [email protected] or through our investor relations email. And with that, I hope everybody has a great July. Have a great day.\nThank you.\nLorie Tekorius -- President and Chief Operating Officer\nThanks, everyone.\nOperator\n[Operator signoff]\nDuration: 0 minutes\nCall participants:\nJustin Roberts -- Vice President and Treasurer\nBill Furman -- Executive Chairman\nLorie Tekorius -- President and Chief Operating Officer\nBrian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer\nAdrian Downes -- Senior Vice President and Chief Financial Officer\nJustin Long -- Stephens, Inc. -- Analyst\nMatt Elkott -- Cowen and Company -- Analyst\nAllison Poliniak -- Wells Fargo Securities -- Analyst\nBascome Majors -- Susquehanna International Group -- Analyst\nKen Hoexter -- Bank of America Merrill Lynch -- Analyst\nSteve Barger -- KeyBanc Capital Markets -- Analyst\nMore GBX analysis\nAll earnings call transcripts\nThis article is a transcript of this conference call produced for The Motley Fool. While we strive for our Foolish Best, there may be errors, omissions, or inaccuracies in this transcript. As with all our articles, The Motley Fool does not assume any responsibility for your use of this content, and we strongly encourage you to do your own research, including listening to the call yourself and reading the company's SEC filings. Please see our Terms and Conditions for additional details, including our Obligatory Capitalized Disclaimers of Liability.\nThe Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "The Greenbrier Companies (NYSE: GBX) Q3 2022 Earnings Call Jul 11, 2022, 11:00 a.m. Operator [Operator signoff] Duration: 0 minutes Call participants: Justin Roberts -- Vice President and Treasurer Bill Furman -- Executive Chairman Lorie Tekorius -- President and Chief Operating Officer Brian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer Adrian Downes -- Senior Vice President and Chief Financial Officer Justin Long -- Stephens, Inc. -- Analyst Matt Elkott -- Cowen and Company -- Analyst Allison Poliniak -- Wells Fargo Securities -- Analyst Bascome Majors -- Susquehanna International Group -- Analyst Ken Hoexter -- Bank of America Merrill Lynch -- Analyst Steve Barger -- KeyBanc Capital Markets -- Analyst More GBX analysis All earnings call transcripts This article is a transcript of this conference call produced for The Motley Fool. Brian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer I think you're -- Matt Elkott -- Cowen and Company -- Analyst Yeah, go ahead.", 'news_luhn_summary': "Operator [Operator signoff] Duration: 0 minutes Call participants: Justin Roberts -- Vice President and Treasurer Bill Furman -- Executive Chairman Lorie Tekorius -- President and Chief Operating Officer Brian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer Adrian Downes -- Senior Vice President and Chief Financial Officer Justin Long -- Stephens, Inc. -- Analyst Matt Elkott -- Cowen and Company -- Analyst Allison Poliniak -- Wells Fargo Securities -- Analyst Bascome Majors -- Susquehanna International Group -- Analyst Ken Hoexter -- Bank of America Merrill Lynch -- Analyst Steve Barger -- KeyBanc Capital Markets -- Analyst More GBX analysis All earnings call transcripts This article is a transcript of this conference call produced for The Motley Fool. The Greenbrier Companies (NYSE: GBX) Q3 2022 Earnings Call Jul 11, 2022, 11:00 a.m. Today, I am joined by Bill Furman, Greenbrier's executive chairman; Lorie Tekorius, CEO; and president, Brian Comstock, executive vice president and chief commercial and leasing officer; and Adrian Downes, senior vice president and CFO.", 'news_article_title': 'The Greenbrier Companies (GBX) Q3 2022 Earnings Call Transcript', 'news_lexrank_summary': 'Operator [Operator signoff] Duration: 0 minutes Call participants: Justin Roberts -- Vice President and Treasurer Bill Furman -- Executive Chairman Lorie Tekorius -- President and Chief Operating Officer Brian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer Adrian Downes -- Senior Vice President and Chief Financial Officer Justin Long -- Stephens, Inc. -- Analyst Matt Elkott -- Cowen and Company -- Analyst Allison Poliniak -- Wells Fargo Securities -- Analyst Bascome Majors -- Susquehanna International Group -- Analyst Ken Hoexter -- Bank of America Merrill Lynch -- Analyst Steve Barger -- KeyBanc Capital Markets -- Analyst More GBX analysis All earnings call transcripts This article is a transcript of this conference call produced for The Motley Fool. The Greenbrier Companies (NYSE: GBX) Q3 2022 Earnings Call Jul 11, 2022, 11:00 a.m. Our leasing team continues to perform ahead of expectations, as we scale this business with an old fleet totaling 11,800 railcars at the end of the quarter.', 'news_textrank_summary': "Operator [Operator signoff] Duration: 0 minutes Call participants: Justin Roberts -- Vice President and Treasurer Bill Furman -- Executive Chairman Lorie Tekorius -- President and Chief Operating Officer Brian Comstock -- Executive Vice President and Chief Commercial and Leasing Officer Adrian Downes -- Senior Vice President and Chief Financial Officer Justin Long -- Stephens, Inc. -- Analyst Matt Elkott -- Cowen and Company -- Analyst Allison Poliniak -- Wells Fargo Securities -- Analyst Bascome Majors -- Susquehanna International Group -- Analyst Ken Hoexter -- Bank of America Merrill Lynch -- Analyst Steve Barger -- KeyBanc Capital Markets -- Analyst More GBX analysis All earnings call transcripts This article is a transcript of this conference call produced for The Motley Fool. The Greenbrier Companies (NYSE: GBX) Q3 2022 Earnings Call Jul 11, 2022, 11:00 a.m. Today, I am joined by Bill Furman, Greenbrier's executive chairman; Lorie Tekorius, CEO; and president, Brian Comstock, executive vice president and chief commercial and leasing officer; and Adrian Downes, senior vice president and CFO."}, {'news_url': 'https://www.nasdaq.com/articles/greenbrier-companies-gbx-misses-q3-earnings-estimates', 'news_author': None, 'news_article': 'Greenbrier Companies (GBX) came out with quarterly earnings of $0.09 per share, missing the Zacks Consensus Estimate of $0.67 per share. This compares to earnings of $0.69 per share a year ago. These figures are adjusted for non-recurring items.\nThis quarterly report represents an earnings surprise of -86.57%. A quarter ago, it was expected that this maker of railroad freight car equipment would post earnings of $0.10 per share when it actually produced earnings of $0.38, delivering a surprise of 280%.\nOver the last four quarters, the company has surpassed consensus EPS estimates three times.\nGreenbrier, which belongs to the Zacks Transportation - Equipment and Leasing industry, posted revenues of $793.5 million for the quarter ended May 2022, surpassing the Zacks Consensus Estimate by 4.45%. This compares to year-ago revenues of $450.14 million. The company has topped consensus revenue estimates three times over the last four quarters.\nThe sustainability of the stock\'s immediate price movement based on the recently-released numbers and future earnings expectations will mostly depend on management\'s commentary on the earnings call.\nGreenbrier shares have lost about 28.9% since the beginning of the year versus the S&P 500\'s decline of -18.2%.\nWhat\'s Next for Greenbrier?\nWhile Greenbrier has underperformed the market so far this year, the question that comes to investors\' minds is: what\'s next for the stock?\nThere are no easy answers to this key question, but one reliable measure that can help investors address this is the company\'s earnings outlook. Not only does this include current consensus earnings expectations for the coming quarter(s), but also how these expectations have changed lately.\nEmpirical research shows a strong correlation between near-term stock movements and trends in earnings estimate revisions. Investors can track such revisions by themselves or rely on a tried-and-tested rating tool like the Zacks Rank, which has an impressive track record of harnessing the power of earnings estimate revisions.\nAhead of this earnings release, the estimate revisions trend for Greenbrier: mixed. While the magnitude and direction of estimate revisions could change following the company\'s just-released earnings report, the current status translates into a Zacks Rank #3 (Hold) for the stock. So, the shares are expected to perform in line with the market in the near future. You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here.\nIt will be interesting to see how estimates for the coming quarters and current fiscal year change in the days ahead. The current consensus EPS estimate is $0.65 on $778.1 million in revenues for the coming quarter and $2.23 on $2.77 billion in revenues for the current fiscal year.\nInvestors should be mindful of the fact that the outlook for the industry can have a material impact on the performance of the stock as well. In terms of the Zacks Industry Rank, Transportation - Equipment and Leasing is currently in the bottom 34% of the 250 plus Zacks industries. Our research shows that the top 50% of the Zacks-ranked industries outperform the bottom 50% by a factor of more than 2 to 1.\nTriton International (TRTN), another stock in the same industry, has yet to report results for the quarter ended June 2022.\nThis shipping container leasing company is expected to post quarterly earnings of $2.68 per share in its upcoming report, which represents a year-over-year change of +25.2%. The consensus EPS estimate for the quarter has remained unchanged over the last 30 days.\nTriton International\'s revenues are expected to be $424.94 million, up 14.9% from the year-ago quarter.\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 \nGreenbrier Companies, Inc. The (GBX): Free Stock Analysis Report\n \nTriton International Limited (TRTN): 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': 'Greenbrier Companies (GBX) came out with quarterly earnings of $0.09 per share, missing the Zacks Consensus Estimate of $0.67 per share. The (GBX): Free Stock Analysis Report Empirical research shows a strong correlation between near-term stock movements and trends in earnings estimate revisions.', 'news_luhn_summary': 'Greenbrier Companies (GBX) came out with quarterly earnings of $0.09 per share, missing the Zacks Consensus Estimate of $0.67 per share. The (GBX): Free Stock Analysis Report Greenbrier, which belongs to the Zacks Transportation - Equipment and Leasing industry, posted revenues of $793.5 million for the quarter ended May 2022, surpassing the Zacks Consensus Estimate by 4.45%.', 'news_article_title': 'Greenbrier Companies (GBX) Misses Q3 Earnings Estimates', 'news_lexrank_summary': 'Greenbrier Companies (GBX) came out with quarterly earnings of $0.09 per share, missing the Zacks Consensus Estimate of $0.67 per share. The (GBX): Free Stock Analysis Report Greenbrier, which belongs to the Zacks Transportation - Equipment and Leasing industry, posted revenues of $793.5 million for the quarter ended May 2022, surpassing the Zacks Consensus Estimate by 4.45%.', 'news_textrank_summary': 'Greenbrier Companies (GBX) came out with quarterly earnings of $0.09 per share, missing the Zacks Consensus Estimate of $0.67 per share. The (GBX): Free Stock Analysis Report Greenbrier, which belongs to the Zacks Transportation - Equipment and Leasing industry, posted revenues of $793.5 million for the quarter ended May 2022, surpassing the Zacks Consensus Estimate by 4.45%.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.36000061035156, 'high': 32.0, 'open': 32.0, 'close': 29.530000686645508, 'ema_50': 38.9721439754444, 'rsi_14': 21.598797007648884, 'target': 28.56999969482422, 'volume': 1233400.0, 'ema_200': 42.18405344747548, 'adj_close': 28.09320640563965, 'rsi_lag_1': 31.50290493730928, 'rsi_lag_2': 28.410100623773914, 'rsi_lag_3': 27.3368712900064, 'rsi_lag_4': 29.21772851950621, 'rsi_lag_5': 30.421997508280796, 'macd_lag_1': -1.9141546807294745, 'macd_lag_2': -1.7896415220828956, 'macd_lag_3': -1.751304735123263, 'macd_lag_4': -1.6178447990037839, 'macd_lag_5': -1.5359693346872874, 'macd_12_26_9': -2.2363895832126275, 'macds_12_26_9': -1.7537634964491755}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 28.56999969482422, '2022-07-13': 29.459999084472656, '2022-07-14': 28.850000381469727, '2022-07-15': 29.3700008392334, '2022-07-18': 30.39999961853028, '2022-07-19': 32.27000045776367, '2022-07-20': 32.08000183105469, '2022-07-21': 31.63999938964844, '2022-07-22': 31.540000915527344, '2022-07-25': 31.809999465942383}, '1_month_later': {'2022-08-11': 31.770000457763672}, '3_months_later': {'2022-10-11': 25.0}, '6_months_later': {'2023-01-11': 28.6299991607666}, '12_months_later': {'2023-07-11': 43.18000030517578}}
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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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GDYN
|
{'date': '2022-07-11', 'ticker': 'GDYN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.709999084472656, 'high': 17.739999771118164, 'open': 17.68000030517578, 'close': 16.93000030517578, 'ema_50': 17.168340234843306, 'rsi_14': 48.43205250726721, 'target': 16.510000228881836, 'volume': 266100.0, 'ema_200': 19.948737243087063, 'adj_close': 16.93000030517578, 'rsi_lag_1': 66.42601018056122, 'rsi_lag_2': 58.50557846496921, 'rsi_lag_3': 58.03858856142309, 'rsi_lag_4': 53.945249547964316, 'rsi_lag_5': 48.34053749812499, 'macd_lag_1': 0.13350202572054926, 'macd_lag_2': 0.09855136344710047, 'macd_lag_3': 0.051489929554520586, 'macd_lag_4': 0.07009173396019364, 'macd_lag_5': 0.1192876351210792, 'macd_12_26_9': 0.07161431444181332, 'macds_12_26_9': 0.1465572549243353}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 16.510000228881836, '2022-07-13': 16.43000030517578, '2022-07-14': 16.270000457763672, '2022-07-15': 16.59000015258789, '2022-07-18': 16.309999465942383, '2022-07-19': 17.209999084472656, '2022-07-20': 17.549999237060547, '2022-07-21': 18.0, '2022-07-22': 17.440000534057617, '2022-07-25': 17.559999465942383}, '1_month_later': {'2022-08-11': 19.57999992370605}, '3_months_later': {'2022-10-11': 14.0}, '6_months_later': {'2023-01-11': 10.699999809265137}, '12_months_later': {'2023-07-11': 10.3100004196167}}
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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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GECC
|
{'date': '2022-07-11', 'ticker': 'GECC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.414999961853027, 'high': 12.5, 'open': 12.414999961853027, 'close': 12.5, 'ema_50': 13.068248308907375, 'rsi_14': 47.345136664411896, 'target': 12.4399995803833, 'volume': 4300.0, 'ema_200': 15.921970469277626, 'adj_close': 9.869058609008787, 'rsi_lag_1': 51.129349938882605, 'rsi_lag_2': 46.98113451992028, 'rsi_lag_3': 48.53479968644018, 'rsi_lag_4': 53.09278891089732, 'rsi_lag_5': 54.787224148922, 'macd_lag_1': -0.10398644691180614, 'macd_lag_2': -0.10476407030161816, 'macd_lag_3': -0.1062691697416156, 'macd_lag_4': -0.10664449055788516, 'macd_lag_5': -0.10964506719848188, 'macd_12_26_9': -0.10059668897098462, 'macds_12_26_9': -0.12726254831410366}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 12.4399995803833, '2022-07-13': 12.300000190734863, '2022-07-14': 12.270000457763672, '2022-07-15': 12.284000396728516, '2022-07-18': 12.40999984741211, '2022-07-19': 12.399999618530272, '2022-07-20': 12.395000457763672, '2022-07-21': 12.475000381469728, '2022-07-22': 12.5, '2022-07-25': 12.399999618530272}, '1_month_later': {'2022-08-11': 12.149999618530272}, '3_months_later': {'2022-10-11': 9.609000205993652}, '6_months_later': {'2023-01-11': 8.649999618530273}, '12_months_later': {'2023-07-11': 7.769999980926514}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
geccm
|
{'date': '2022-07-11', 'ticker': 'geccm', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.01000022888184, 'high': 24.3700008392334, 'open': 24.200000762939453, 'close': 24.25, 'ema_50': 24.738182962817646, 'rsi_14': 42.96206544755025, 'target': 24.5, 'volume': 5400.0, 'ema_200': 24.94243958161586, 'adj_close': 21.884422302246094, 'rsi_lag_1': 43.6838525822789, 'rsi_lag_2': 36.757537750397596, 'rsi_lag_3': 40.39939996249771, 'rsi_lag_4': 30.369565241331387, 'rsi_lag_5': 31.365555393798303, 'macd_lag_1': -0.1965459267125702, 'macd_lag_2': -0.2040153889947085, 'macd_lag_3': -0.18797799367501256, 'macd_lag_4': -0.19328338092650554, 'macd_lag_5': -0.20742544668185658, 'macd_12_26_9': -0.1918043570219936, 'macds_12_26_9': -0.192325189651345}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 24.5, '2022-07-13': 24.280000686645508, '2022-07-14': 24.31999969482422, '2022-07-15': 24.270000457763672, '2022-07-18': 24.36899948120117, '2022-07-19': 24.39999961853028, '2022-07-20': 24.415000915527344, '2022-07-21': 24.43000030517578, '2022-07-22': 24.450000762939453, '2022-07-25': 24.520000457763672}, '1_month_later': {'2022-08-11': 25.020000457763672}, '3_months_later': {'2022-10-11': 24.76000022888184}, '6_months_later': {'2023-01-11': 24.4689998626709}, '12_months_later': {'2023-07-11': 24.50300025939941}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GEF
|
{'date': '2022-07-11', 'ticker': 'GEF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 60.34999847412109, 'high': 61.70000076293945, 'open': 60.470001220703125, 'close': 61.290000915527344, 'ema_50': 61.29431539983942, 'rsi_14': 59.30040377369442, 'target': 62.15999984741211, 'volume': 197000.0, 'ema_200': 60.73330374694593, 'adj_close': 58.529327392578125, 'rsi_lag_1': 58.634324086414594, 'rsi_lag_2': 53.52910875747881, 'rsi_lag_3': 53.069722078658245, 'rsi_lag_4': 54.08272033837969, 'rsi_lag_5': 46.982960537621466, 'macd_lag_1': 0.29580178821483827, 'macd_lag_2': 0.42220612315893646, 'macd_lag_3': 0.47151222588441755, 'macd_lag_4': 0.5896951474532415, 'macd_lag_5': 0.6535621004112855, 'macd_12_26_9': 0.22610263284460075, 'macds_12_26_9': 0.3681887998021137}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 62.15999984741211, '2022-07-13': 61.56999969482422, '2022-07-14': 62.27000045776367, '2022-07-15': 63.400001525878906, '2022-07-18': 63.84999847412109, '2022-07-19': 66.30999755859375, '2022-07-20': 66.58999633789062, '2022-07-21': 68.13999938964844, '2022-07-22': 68.41000366210938, '2022-07-25': 68.7699966430664}, '1_month_later': {'2022-08-11': 71.80000305175781}, '3_months_later': {'2022-10-11': 61.83000183105469}, '6_months_later': {'2023-01-11': 68.27999877929688}, '12_months_later': {'2023-07-11': 70.61000061035156}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GEL
|
{'date': '2022-07-11', 'ticker': 'GEL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.820000171661377, 'high': 8.180000305175781, 'open': 8.109999656677246, 'close': 8.0, 'ema_50': 10.168832745594122, 'rsi_14': 37.18244895253279, 'target': 7.860000133514404, 'volume': 820500.0, 'ema_200': 10.774898075824824, 'adj_close': 7.33957052230835, 'rsi_lag_1': 36.26125695575533, 'rsi_lag_2': 32.723576093241476, 'rsi_lag_3': 24.267780590252627, 'rsi_lag_4': 21.8045096607931, 'rsi_lag_5': 18.530348322675863, 'macd_lag_1': -0.8655718698130137, 'macd_lag_2': -0.8952004396297948, 'macd_lag_3': -0.9464689220147449, 'macd_lag_4': -0.9523211655406882, 'macd_lag_5': -0.9642660188406342, 'macd_12_26_9': -0.8484489367091914, 'macds_12_26_9': -0.8546341223051817}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 7.860000133514404, '2022-07-13': 8.25, '2022-07-14': 7.989999771118164, '2022-07-15': 8.079999923706055, '2022-07-18': 8.210000038146973, '2022-07-19': 8.369999885559082, '2022-07-20': 8.279999732971191, '2022-07-21': 8.170000076293945, '2022-07-22': 8.010000228881836, '2022-07-25': 8.329999923706055}, '1_month_later': {'2022-08-11': 10.4399995803833}, '3_months_later': {'2022-10-11': 10.239999771118164}, '6_months_later': {'2023-01-11': 10.6899995803833}, '12_months_later': {'2023-07-11': 9.869999885559082}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GEM
|
{'date': '2022-07-11', 'ticker': 'GEM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.809999465942383, 'high': 29.045000076293945, 'open': 29.045000076293945, 'close': 28.940000534057617, 'ema_50': 30.859978951000613, 'rsi_14': 34.56088233101032, 'target': 28.809999465942383, 'volume': 299700.0, 'ema_200': 33.957302172910424, 'adj_close': 27.801830291748047, 'rsi_lag_1': 43.98627231469862, 'rsi_lag_2': 34.04253592259414, 'rsi_lag_3': 30.532219769323063, 'rsi_lag_4': 38.99203921955518, 'rsi_lag_5': 32.594231938755115, 'macd_lag_1': -0.4736245648850925, 'macd_lag_2': -0.49652488510548665, 'macd_lag_3': -0.523622672358691, 'macd_lag_4': -0.4915384351684047, 'macd_lag_5': -0.46176493535189067, 'macd_12_26_9': -0.5045303262092311, 'macds_12_26_9': -0.46584792288914867}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 28.809999465942383, '2022-07-13': 28.76000022888184, '2022-07-14': 28.489999771118164, '2022-07-15': 28.65999984741211, '2022-07-18': 28.84000015258789, '2022-07-19': 29.229999542236328, '2022-07-20': 29.1299991607666, '2022-07-21': 29.450000762939453, '2022-07-22': 29.13999938964844, '2022-07-25': 29.28499984741211}, '1_month_later': {'2022-08-11': 29.989999771118164}, '3_months_later': {'2022-10-11': 25.709999084472656}, '6_months_later': {'2023-01-11': 30.299999237060547}, '12_months_later': {'2023-07-11': 30.049999237060547}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GEN
|
{'date': '2022-07-11', 'ticker': 'GEN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.68000030517578, 'high': 23.09000015258789, 'open': 22.950000762939453, 'close': 22.8799991607666, 'ema_50': 23.67103674912978, 'rsi_14': 65.48669977235613, 'target': 23.059999465942383, 'volume': 3280200.0, 'ema_200': 25.00055454002581, 'adj_close': 22.05267143249512, 'rsi_lag_1': 69.56520193885933, 'rsi_lag_2': 64.54542722257919, 'rsi_lag_3': 59.515573903028915, 'rsi_lag_4': 48.16175980758242, 'rsi_lag_5': 39.81763675648983, 'macd_lag_1': -0.3543740848195931, 'macd_lag_2': -0.43346056229743013, 'macd_lag_3': -0.5168987232272038, 'macd_lag_4': -0.5731141809107392, 'macd_lag_5': -0.5947837074197437, 'macd_12_26_9': -0.3035300315658347, 'macds_12_26_9': -0.4848436429626579}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 23.059999465942383, '2022-07-13': 22.940000534057617, '2022-07-14': 23.3700008392334, '2022-07-15': 23.520000457763672, '2022-07-18': 23.780000686645508, '2022-07-19': 24.690000534057617, '2022-07-20': 24.729999542236328, '2022-07-21': 25.01000022888184, '2022-07-22': 25.43000030517578, '2022-07-25': 24.770000457763672}, '1_month_later': {'2022-08-11': 24.049999237060547}, '3_months_later': {'2022-10-11': 20.920000076293945}, '6_months_later': {'2023-01-11': 21.989999771118164}, '12_months_later': {'2023-07-11': 18.75}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GENE
|
{'date': '2022-07-11', 'ticker': 'GENE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.550000190734863, 'high': 6.849999904632568, 'open': 6.699999809265137, 'close': 6.599999904632568, 'ema_50': 6.805300726112945, 'rsi_14': 57.291664390100465, 'target': 6.650000095367432, 'volume': 9220.0, 'ema_200': 9.91183993755236, 'adj_close': 6.599999904632568, 'rsi_lag_1': 61.052633586682774, 'rsi_lag_2': 59.34065888000272, 'rsi_lag_3': 73.97260524515703, 'rsi_lag_4': 61.22449456230432, 'rsi_lag_5': 53.488374156136885, 'macd_lag_1': 0.05128917441610614, 'macd_lag_2': 0.023150419823469548, 'macd_lag_3': 0.01744387727535024, 'macd_lag_4': -0.11227527400797754, 'macd_lag_5': -0.143847379518089, 'macd_12_26_9': 0.056796276423078496, 'macds_12_26_9': -0.0485898318439715}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 6.650000095367432, '2022-07-13': 6.599999904632568, '2022-07-14': 7.099999904632568, '2022-07-15': 7.25, '2022-07-18': 7.25, '2022-07-19': 7.349999904632568, '2022-07-20': 7.5, '2022-07-21': 7.449999809265137, '2022-07-22': 7.25, '2022-07-25': 7.199999809265137}, '1_month_later': {'2022-08-11': 8.399999618530273}, '3_months_later': {'2022-10-11': 5.400000095367432}, '6_months_later': {'2023-01-11': 4.900000095367432}, '12_months_later': {'2023-07-11': 4.550000190734863}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GEO
|
{'date': '2022-07-11', 'ticker': 'GEO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.329999923706055, 'high': 6.460000038146973, 'open': 6.369999885559082, 'close': 6.360000133514404, 'ema_50': 6.588267777120071, 'rsi_14': 52.439024390243894, 'target': 6.400000095367432, 'volume': 542500.0, 'ema_200': 6.94964209357826, 'adj_close': 6.360000133514404, 'rsi_lag_1': 58.04597480653827, 'rsi_lag_2': 50.5617974518133, 'rsi_lag_3': 53.84616392301856, 'rsi_lag_4': 56.0000010899135, 'rsi_lag_5': 50.25640386096214, 'macd_lag_1': -0.06353012716389728, 'macd_lag_2': -0.05844062278819706, 'macd_lag_3': -0.03989455401006303, 'macd_lag_4': -0.019715465190861536, 'macd_lag_5': -0.015054661670177438, 'macd_12_26_9': -0.07078222170463278, 'macds_12_26_9': -0.0511026979383531}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 6.400000095367432, '2022-07-13': 6.449999809265137, '2022-07-14': 6.25, '2022-07-15': 6.449999809265137, '2022-07-18': 6.349999904632568, '2022-07-19': 6.889999866485596, '2022-07-20': 6.949999809265137, '2022-07-21': 6.71999979019165, '2022-07-22': 6.590000152587891, '2022-07-25': 6.679999828338623}, '1_month_later': {'2022-08-11': 6.739999771118164}, '3_months_later': {'2022-10-11': 8.59000015258789}, '6_months_later': {'2023-01-11': 11.029999732971191}, '12_months_later': {'2023-07-11': 7.210000038146973}}
|
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.
|
GEOS
|
{'date': '2022-07-11', 'ticker': 'GEOS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.099999904632568, 'high': 4.409999847412109, 'open': 4.170000076293945, 'close': 4.329999923706055, 'ema_50': 5.395724951585877, 'rsi_14': 15.333312564412793, 'target': 4.119999885559082, 'volume': 77500.0, 'ema_200': 6.625058000547971, 'adj_close': 4.329999923706055, 'rsi_lag_1': 8.21914273770021, 'rsi_lag_2': 6.358365092634614, 'rsi_lag_3': 6.043939777013023, 'rsi_lag_4': 5.851048179850878, 'rsi_lag_5': 5.092578182000395, 'macd_lag_1': -0.4322633569079972, 'macd_lag_2': -0.419022255633692, 'macd_lag_3': -0.3950087697170863, 'macd_lag_4': -0.36777689930568336, 'macd_lag_5': -0.3337787330736912, 'macd_12_26_9': -0.42893642153591216, 'macds_12_26_9': -0.3469432530679668}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 4.119999885559082, '2022-07-13': 4.25, '2022-07-14': 4.21999979019165, '2022-07-15': 4.260000228881836, '2022-07-18': 4.5, '2022-07-19': 4.449999809265137, '2022-07-20': 4.369999885559082, '2022-07-21': 4.659999847412109, '2022-07-22': 4.590000152587891, '2022-07-25': 4.599999904632568}, '1_month_later': {'2022-08-11': 4.760000228881836}, '3_months_later': {'2022-10-11': 4.489999771118164}, '6_months_later': {'2023-01-11': 4.679999828338623}, '12_months_later': {'2023-07-11': 7.96999979019165}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GERM
|
{'date': '2022-07-11', 'ticker': 'GERM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.25, 'high': 25.51000022888184, 'open': 25.51000022888184, 'close': 25.2549991607666, 'ema_50': 23.893002342774754, 'rsi_14': 77.3573450816996, 'target': 25.30900001525879, 'volume': 1100.0, 'ema_200': 28.612455482040993, 'adj_close': 24.852388381958008, 'rsi_lag_1': 90.37838860079816, 'rsi_lag_2': 82.21448171901991, 'rsi_lag_3': 81.25574870187778, 'rsi_lag_4': 81.69857322404481, 'rsi_lag_5': 64.74964881853495, 'macd_lag_1': 0.6480617649053286, 'macd_lag_2': 0.514567751464277, 'macd_lag_3': 0.3564489773270729, 'macd_lag_4': 0.24688728596833442, 'macd_lag_5': 0.10824098983641406, 'macd_12_26_9': 0.6756246591359556, 'macds_12_26_9': 0.31566418671582913}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.30900001525879, '2022-07-13': 25.48500061035156, '2022-07-14': 24.36199951171875, '2022-07-15': 24.80599975585937, '2022-07-18': 24.343000411987305, '2022-07-19': 25.07999992370605, '2022-07-20': 25.290000915527344, '2022-07-21': 25.44300079345703, '2022-07-22': 24.583999633789062, '2022-07-25': 24.71299934387207}, '1_month_later': {'2022-08-11': 26.518999099731445}, '3_months_later': {'2022-10-11': 20.43000030517578}, '6_months_later': {'2023-01-11': 23.809999465942383}, '12_months_later': {'2023-07-11': 20.76700019836425}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GERN
|
{'date': '2022-07-11', 'ticker': 'GERN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.7699999809265137, 'high': 1.919999957084656, 'open': 1.899999976158142, 'close': 1.7699999809265137, 'ema_50': 1.4631491292465506, 'rsi_14': 78.72340047775023, 'target': 1.840000033378601, 'volume': 2304900.0, 'ema_200': 1.375436471601726, 'adj_close': 1.7699999809265137, 'rsi_lag_1': 95.12194164589353, 'rsi_lag_2': 87.64045937105705, 'rsi_lag_3': 86.25001024455045, 'rsi_lag_4': 85.33334265815184, 'rsi_lag_5': 73.52941279592837, 'macd_lag_1': 0.13972972649675452, 'macd_lag_2': 0.12427035077579385, 'macd_lag_3': 0.0986582614997753, 'macd_lag_4': 0.07573289429490848, 'macd_lag_5': 0.05046113624628368, 'macd_12_26_9': 0.1374858813454094, 'macds_12_26_9': 0.08544083125774928}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 1.840000033378601, '2022-07-13': 1.850000023841858, '2022-07-14': 1.820000052452088, '2022-07-15': 1.820000052452088, '2022-07-18': 1.7300000190734863, '2022-07-19': 1.840000033378601, '2022-07-20': 1.940000057220459, '2022-07-21': 1.8799999952316284, '2022-07-22': 1.7999999523162842, '2022-07-25': 1.850000023841858}, '1_month_later': {'2022-08-11': 2.049999952316284}, '3_months_later': {'2022-10-11': 2.1700000762939453}, '6_months_later': {'2023-01-11': 3.299999952316284}, '12_months_later': {'2023-07-11': 3.140000104904175}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GES
|
{'date': '2022-07-11', 'ticker': 'GES', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.270000457763672, 'high': 17.979999542236328, 'open': 17.729999542236328, 'close': 17.299999237060547, 'ema_50': 19.238669902458117, 'rsi_14': 44.30576248249242, 'target': 17.469999313354492, 'volume': 732000.0, 'ema_200': 21.131770540255527, 'adj_close': 15.996139526367188, 'rsi_lag_1': 48.073706070287535, 'rsi_lag_2': 38.79940919665996, 'rsi_lag_3': 30.564784263677964, 'rsi_lag_4': 39.92870390360576, 'rsi_lag_5': 29.98235281453431, 'macd_lag_1': -0.7159300322115456, 'macd_lag_2': -0.7825974578713399, 'macd_lag_3': -0.8339059756728524, 'macd_lag_4': -0.7935920255252427, 'macd_lag_5': -0.8130664758824651, 'macd_12_26_9': -0.6930319467255011, 'macds_12_26_9': -0.7359192685146856}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 17.469999313354492, '2022-07-13': 17.229999542236328, '2022-07-14': 17.0, '2022-07-15': 17.469999313354492, '2022-07-18': 17.8700008392334, '2022-07-19': 19.25, '2022-07-20': 19.40999984741211, '2022-07-21': 19.350000381469727, '2022-07-22': 19.1200008392334, '2022-07-25': 18.920000076293945}, '1_month_later': {'2022-08-11': 20.34000015258789}, '3_months_later': {'2022-10-11': 15.399999618530272}, '6_months_later': {'2023-01-11': 22.26000022888184}, '12_months_later': {'2023-07-11': 19.790000915527344}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GEVO
|
{'date': '2022-07-11', 'ticker': 'GEVO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.319999933242798, 'high': 2.470000028610229, 'open': 2.430000066757202, 'close': 2.3399999141693115, 'ema_50': 3.1185235755568126, 'rsi_14': 45.1612878416384, 'target': 2.3399999141693115, 'volume': 7155200.0, 'ema_200': 4.2519658176919695, 'adj_close': 2.3399999141693115, 'rsi_lag_1': 46.97986867136687, 'rsi_lag_2': 47.61904993604057, 'rsi_lag_3': 38.40579184332099, 'rsi_lag_4': 36.76470227307549, 'rsi_lag_5': 34.24657444766909, 'macd_lag_1': -0.2691988224847872, 'macd_lag_2': -0.28740581914027263, 'macd_lag_3': -0.31053684270899806, 'macd_lag_4': -0.31823444185647487, 'macd_lag_5': -0.32037597034529286, 'macd_12_26_9': -0.2638321082400297, 'macds_12_26_9': -0.2942565074493642}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 2.3399999141693115, '2022-07-13': 2.390000104904175, '2022-07-14': 2.3399999141693115, '2022-07-15': 2.400000095367432, '2022-07-18': 2.450000047683716, '2022-07-19': 2.6600000858306885, '2022-07-20': 2.859999895095825, '2022-07-21': 2.720000028610229, '2022-07-22': 2.450000047683716, '2022-07-25': 2.549999952316284}, '1_month_later': {'2022-08-11': 3.5799999237060547}, '3_months_later': {'2022-10-11': 2.150000095367432}, '6_months_later': {'2023-01-11': 1.9900000095367432}, '12_months_later': {'2023-07-11': 1.6699999570846558}}
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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.
|
GE
|
{'date': '2022-07-11', 'ticker': 'GE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.94691467285156, 'high': 48.88368606567383, 'open': 48.70413589477539, 'close': 48.32942962646485, 'ema_50': 56.20782551805903, 'rsi_14': 34.818124697080094, 'target': 49.19594192504883, 'volume': 6115238.0, 'ema_200': 66.9869148513198, 'adj_close': 48.07786560058594, 'rsi_lag_1': 42.05607441067446, 'rsi_lag_2': 31.40244075040698, 'rsi_lag_3': 29.775288439012954, 'rsi_lag_4': 32.095664710375885, 'rsi_lag_5': 28.507554741694378, 'macd_lag_1': -2.5348550966439447, 'macd_lag_2': -2.6489204084544795, 'macd_lag_3': -2.7361086458094235, 'macd_lag_4': -2.693933154011944, 'macd_lag_5': -2.6374799631822228, 'macd_12_26_9': -2.5000467239929947, 'macds_12_26_9': -2.5780908082186316}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 49.19594192504883, '2022-07-13': 48.407493591308594, '2022-07-14': 47.68930435180664, '2022-07-15': 49.07103729248047, '2022-07-18': 49.71116256713867, '2022-07-19': 52.09992218017578, '2022-07-20': 52.997657775878906, '2022-07-21': 53.18501281738281, '2022-07-22': 53.23184967041016, '2022-07-25': 53.364559173583984}, '1_month_later': {'2022-08-11': 61.592506408691406}, '3_months_later': {'2022-10-11': 49.960968017578125}, '6_months_later': {'2023-01-11': 77.69000244140625}, '12_months_later': {'2023-07-11': 111.22000122070312}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GBUY
|
{'date': '2022-07-11', 'ticker': 'GBUY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/gbuy-surprisingly-strong-idea-for-corporate-net-zero-exposure', 'news_author': None, 'news_article': 'There is no shortage of companies making carbon reduction pledges and announcing net-zero goals. At the sector level, many of these firms reside in the energy and utilities sectors, which makes sense given the large carbon footprints found in those groups.\nHowever, other sectors are chock full of companies with ambitious net-zero goals, making for some interesting surprises in terms of exchange traded funds. The Goldman Sachs Future Consumer Equity ETF (GBUY) is an example of an industry ETF with more net-zero credibility than meets the eye.\nAs its name implies, GBUY is a fresh spin on investing in consumer-related equities. On a related note, the fund isn’t a dedicated consumer discretionary ETF, but it allocates 26.2% of its weight to that sector and another 4.2% to consumer staples, providing investors with robust exposure to net-zero goals courtesy of consumer goods firms.\n“Surprisingly, some of the largest net-zero commitments have been made by consumer goods companies, such as PepsiCo PEP, L’Oréal LRLCF, and General Mills GIS. According to data collated by the Net Zero Tracker—a global initiative to increase the transparency and accountability around net-zero targets—around half of the top 2,000 companies in the world by revenue have committed to a science-based long-term goal to reduce their carbon emissions to net zero,” wrote Morningstar analyst Diana Radu.\nThose particular names aren’t GBUY members, but the ETF holds some stocks that are comparable to L’Oreal, indicating that the fund is relevant when it comes to a combination of consumer goods companies and net-zero goals. In fact, when it comes to net-zero targets, consumer staples and consumer cyclical companies rank third and fourth, respectively.\n“A whopping 85% to 95% of consumer goods companies’ emissions are classified as scope 3, whose reduction is contingent on the actions of suppliers and consumers,” added Radu. “Therefore, consumer goods companies will need to direct their efforts toward engaging with suppliers and ensuring they uphold the same high environmental standards, as well as helping consumers lower the emissions associated with the use and disposal of products.”\nOn that note, GBUY’s nearly 7% weight to Amazon (NASDAQ:AMZN) is highly relevant because that company has the power to enforce net-zero standards among suppliers or, at the very least, ask suppliers to make improvements on that front. Additionally, due to its heavy last mile exposure (package delivery), Amazon can affect significant net-zero change by transitioning to electric vehicles.\nFor more news, information, and strategy, visit the Future ETFs Channel.\nRead more on ETFtrends.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': 'Those particular names aren’t GBUY members, but the ETF holds some stocks that are comparable to L’Oreal, indicating that the fund is relevant when it comes to a combination of consumer goods companies and net-zero goals. The Goldman Sachs Future Consumer Equity ETF (GBUY) is an example of an industry ETF with more net-zero credibility than meets the eye. As its name implies, GBUY is a fresh spin on investing in consumer-related equities.', 'news_luhn_summary': 'The Goldman Sachs Future Consumer Equity ETF (GBUY) is an example of an industry ETF with more net-zero credibility than meets the eye. Those particular names aren’t GBUY members, but the ETF holds some stocks that are comparable to L’Oreal, indicating that the fund is relevant when it comes to a combination of consumer goods companies and net-zero goals. “Therefore, consumer goods companies will need to direct their efforts toward engaging with suppliers and ensuring they uphold the same high environmental standards, as well as helping consumers lower the emissions associated with the use and disposal of products.” On that note, GBUY’s nearly 7% weight to Amazon (NASDAQ:AMZN) is highly relevant because that company has the power to enforce net-zero standards among suppliers or, at the very least, ask suppliers to make improvements on that front.', 'news_article_title': 'GBUY Surprisingly Strong Idea for Corporate Net-Zero Exposure', 'news_lexrank_summary': 'The Goldman Sachs Future Consumer Equity ETF (GBUY) is an example of an industry ETF with more net-zero credibility than meets the eye. As its name implies, GBUY is a fresh spin on investing in consumer-related equities. Those particular names aren’t GBUY members, but the ETF holds some stocks that are comparable to L’Oreal, indicating that the fund is relevant when it comes to a combination of consumer goods companies and net-zero goals.', 'news_textrank_summary': 'Those particular names aren’t GBUY members, but the ETF holds some stocks that are comparable to L’Oreal, indicating that the fund is relevant when it comes to a combination of consumer goods companies and net-zero goals. “Therefore, consumer goods companies will need to direct their efforts toward engaging with suppliers and ensuring they uphold the same high environmental standards, as well as helping consumers lower the emissions associated with the use and disposal of products.” On that note, GBUY’s nearly 7% weight to Amazon (NASDAQ:AMZN) is highly relevant because that company has the power to enforce net-zero standards among suppliers or, at the very least, ask suppliers to make improvements on that front. The Goldman Sachs Future Consumer Equity ETF (GBUY) is an example of an industry ETF with more net-zero credibility than meets the eye.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.82099914550781, 'high': 24.940000534057617, 'open': 24.940000534057617, 'close': 24.82099914550781, 'ema_50': 26.350854492683577, 'rsi_14': 53.65853270621878, 'target': 24.67200088500977, 'volume': 100.0, 'ema_200': 34.89320655868453, 'adj_close': 24.7092399597168, 'rsi_lag_1': 63.819432075358684, 'rsi_lag_2': 52.33169928759103, 'rsi_lag_3': 54.344802393566056, 'rsi_lag_4': 51.469571305098825, 'rsi_lag_5': 41.05912588801337, 'macd_lag_1': -0.3315209967038726, 'macd_lag_2': -0.3812264362343747, 'macd_lag_3': -0.45011988342007925, 'macd_lag_4': -0.48090216593530144, 'macd_lag_5': -0.49792392295440635, 'macd_12_26_9': -0.33570605418671207, 'macds_12_26_9': -0.4187038339935914}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 24.67200088500977, '2022-07-13': 24.715999603271484, '2022-07-14': 24.52499961853028, '2022-07-15': 24.79599952697754, '2022-07-18': 24.82699966430664, '2022-07-19': 25.652000427246094, '2022-07-20': 25.924999237060547, '2022-07-21': 26.323999404907227, '2022-07-22': 25.874000549316406, '2022-07-25': 25.81100082397461}, '1_month_later': {'2022-08-11': 27.43000030517578}, '3_months_later': {'2022-10-11': 22.0}, '6_months_later': {'2023-01-11': 25.179000854492188}, '12_months_later': {'2023-07-11': 27.929000854492188}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON 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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GBR
|
{'date': '2022-07-11', 'ticker': 'GBR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.5399999618530271, 'high': 1.7899999618530271, 'open': 1.7899999618530271, 'close': 1.5399999618530271, 'ema_50': 1.9974738773741745, 'rsi_14': 29.870128462700407, 'target': 1.4600000381469729, 'volume': 11600.0, 'ema_200': 2.7613488318866315, 'adj_close': 1.5399999618530271, 'rsi_lag_1': 33.33333333333333, 'rsi_lag_2': 33.33334485113615, 'rsi_lag_3': 22.727280116275978, 'rsi_lag_4': 16.17648579875899, 'rsi_lag_5': 13.580260358917016, 'macd_lag_1': -0.14912259888346213, 'macd_lag_2': -0.15927374831936536, 'macd_lag_3': -0.1638045121771734, 'macd_lag_4': -0.15905934440899983, 'macd_lag_5': -0.14661647096845565, 'macd_12_26_9': -0.14664950613187733, 'macds_12_26_9': -0.14126444809313982}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 1.4600000381469729, '2022-07-13': 1.5, '2022-07-14': 1.4600000381469729, '2022-07-15': 1.4700000286102295, '2022-07-18': 1.5199999809265137, '2022-07-19': 1.600000023841858, '2022-07-20': 1.5399999618530271, '2022-07-21': 1.5700000524520874, '2022-07-22': 1.4800000190734863, '2022-07-25': 1.4700000286102295}, '1_month_later': {'2022-08-11': 1.4600000381469729}, '3_months_later': {'2022-10-11': 1.6299999952316284}, '6_months_later': {'2023-01-11': 1.2000000476837158}, '12_months_later': {'2023-07-11': 1.2000000476837158}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GBLI
|
{'date': '2022-07-11', 'ticker': 'GBLI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.799999237060547, 'high': 26.06999969482422, 'open': 25.799999237060547, 'close': 26.06999969482422, 'ema_50': 26.152153202884115, 'rsi_14': 46.09663661470501, 'target': 26.11000061035156, 'volume': 2800.0, 'ema_200': 26.32113844587155, 'adj_close': 24.69795036315918, 'rsi_lag_1': 43.798459927964366, 'rsi_lag_2': 48.08510500146906, 'rsi_lag_3': 50.43860603089566, 'rsi_lag_4': 40.414497018906445, 'rsi_lag_5': 34.666667796946385, 'macd_lag_1': -0.15365737142673552, 'macd_lag_2': -0.14245854129860547, 'macd_lag_3': -0.14951077272568725, 'macd_lag_4': -0.1655009342255589, 'macd_lag_5': -0.14583009586562667, 'macd_12_26_9': -0.1295692400574282, 'macds_12_26_9': -0.13613133597936256}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 26.11000061035156, '2022-07-13': 27.0, '2022-07-14': 27.540000915527344, '2022-07-15': 27.479999542236328, '2022-07-18': 27.600000381469727, '2022-07-19': 26.280000686645508, '2022-07-20': 26.280000686645508, '2022-07-21': 26.280000686645508, '2022-07-22': 26.239999771118164, '2022-07-25': 25.8799991607666}, '1_month_later': {'2022-08-11': 24.61000061035156}, '3_months_later': {'2022-10-11': 20.86000061035156}, '6_months_later': {'2023-01-11': 25.959999084472656}, '12_months_later': {'2023-07-11': 33.75}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FXG
|
{'date': '2022-07-11', 'ticker': 'FXG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 61.630001068115234, 'high': 62.0099983215332, 'open': 61.63999938964844, 'close': 61.68000030517578, 'ema_50': 62.60076995131778, 'rsi_14': 64.9056522291985, 'target': 61.880001068115234, 'volume': 40400.0, 'ema_200': 61.53918992154725, 'adj_close': 60.009403228759766, 'rsi_lag_1': 65.48222269018417, 'rsi_lag_2': 58.371037990327764, 'rsi_lag_3': 56.55254102938263, 'rsi_lag_4': 55.37572335908511, 'rsi_lag_5': 50.52741792569069, 'macd_lag_1': -0.34257945581200744, 'macd_lag_2': -0.3909243186090521, 'macd_lag_3': -0.4632346651358219, 'macd_lag_4': -0.48973665972618363, 'macd_lag_5': -0.5164393995891317, 'macd_12_26_9': -0.31914592900341177, 'macds_12_26_9': -0.49969335395463704}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 61.880001068115234, '2022-07-13': 61.86000061035156, '2022-07-14': 61.58000183105469, '2022-07-15': 62.06999969482422, '2022-07-18': 61.56999969482422, '2022-07-19': 62.40999984741211, '2022-07-20': 62.20000076293945, '2022-07-21': 62.08000183105469, '2022-07-22': 62.209999084472656, '2022-07-25': 62.84000015258789}, '1_month_later': {'2022-08-11': 64.31999969482422}, '3_months_later': {'2022-10-11': 58.20000076293945}, '6_months_later': {'2023-01-11': 63.650001525878906}, '12_months_later': {'2023-07-11': 62.90999984741211}}
|
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.
|
FXH
|
{'date': '2022-07-11', 'ticker': 'FXH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 105.6999969482422, 'high': 106.5199966430664, 'open': 106.3499984741211, 'close': 105.88999938964844, 'ema_50': 105.70918231687966, 'rsi_14': 73.63184457285584, 'target': 105.0199966430664, 'volume': 58200.0, 'ema_200': 110.83318085628665, 'adj_close': 105.41270446777344, 'rsi_lag_1': 80.01234070512409, 'rsi_lag_2': 70.77094159807766, 'rsi_lag_3': 70.44307003986299, 'rsi_lag_4': 65.56937237983803, 'rsi_lag_5': 54.952500016390665, 'macd_lag_1': 0.2062900714542053, 'macd_lag_2': -0.004209504157415722, 'macd_lag_3': -0.2514405538222064, 'macd_lag_4': -0.41264870736004866, 'macd_lag_5': -0.5706617188012331, 'macd_12_26_9': 0.28908842760058917, 'macds_12_26_9': -0.3518561121153355}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 105.0199966430664, '2022-07-13': 104.3000030517578, '2022-07-14': 103.25, '2022-07-15': 105.77999877929688, '2022-07-18': 104.0999984741211, '2022-07-19': 106.51000213623048, '2022-07-20': 106.13999938964844, '2022-07-21': 107.51000213623048, '2022-07-22': 106.62999725341795, '2022-07-25': 106.83000183105467}, '1_month_later': {'2022-08-11': 109.9499969482422}, '3_months_later': {'2022-10-11': 97.61000061035156}, '6_months_later': {'2023-01-11': 110.66000366210938}, '12_months_later': {'2023-07-11': 107.45999908447266}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FXI
|
{'date': '2022-07-11', 'ticker': 'FXI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.060001373291016, 'high': 32.540000915527344, 'open': 32.4900016784668, 'close': 32.16999816894531, 'ema_50': 32.4223072800207, 'rsi_14': 49.54127423628824, 'target': 31.979999542236328, 'volume': 49526000.0, 'ema_200': 35.11440423326472, 'adj_close': 30.54404258728028, 'rsi_lag_1': 67.37211606225281, 'rsi_lag_2': 58.85979374777747, 'rsi_lag_3': 58.34633167156945, 'rsi_lag_4': 67.76978215879521, 'rsi_lag_5': 57.29925042602089, 'macd_lag_1': 0.6141471511768373, 'macd_lag_2': 0.6560501389572266, 'macd_lag_3': 0.6541727818400673, 'macd_lag_4': 0.7155705662190002, 'macd_lag_5': 0.7397463171542995, 'macd_12_26_9': 0.4586487705311981, 'macds_12_26_9': 0.6180176960283833}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 31.979999542236328, '2022-07-13': 31.739999771118164, '2022-07-14': 31.290000915527344, '2022-07-15': 31.030000686645508, '2022-07-18': 31.6299991607666, '2022-07-19': 31.950000762939453, '2022-07-20': 31.75, '2022-07-21': 32.0099983215332, '2022-07-22': 31.299999237060547, '2022-07-25': 31.559999465942383}, '1_month_later': {'2022-08-11': 30.06999969482422}, '3_months_later': {'2022-10-11': 24.8700008392334}, '6_months_later': {'2023-01-11': 31.90999984741211}, '12_months_later': {'2023-07-11': 27.34000015258789}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FXL
|
{'date': '2022-07-11', 'ticker': 'FXL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 95.30999755859376, 'high': 96.6999969482422, 'open': 96.5, 'close': 95.63999938964844, 'ema_50': 100.04878508402071, 'rsi_14': 58.6819388529596, 'target': 94.54000091552734, 'volume': 24800.0, 'ema_200': 110.91757433983055, 'adj_close': 95.08035278320312, 'rsi_lag_1': 68.4679243983701, 'rsi_lag_2': 52.825778716316734, 'rsi_lag_3': 51.67463311389403, 'rsi_lag_4': 51.69776678957847, 'rsi_lag_5': 39.441752142370795, 'macd_lag_1': -1.3098735366999392, 'macd_lag_2': -1.5603011969768232, 'macd_lag_3': -1.8348425416662764, 'macd_lag_4': -1.9152231195177905, 'macd_lag_5': -1.976724091343641, 'macd_12_26_9': -1.2503092688984054, 'macds_12_26_9': -1.6512164844087063}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 94.54000091552734, '2022-07-13': 94.18000030517578, '2022-07-14': 93.97000122070312, '2022-07-15': 96.18000030517578, '2022-07-18': 95.5999984741211, '2022-07-19': 99.0999984741211, '2022-07-20': 101.12000274658205, '2022-07-21': 102.58999633789062, '2022-07-22': 100.62000274658205, '2022-07-25': 100.05999755859376}, '1_month_later': {'2022-08-11': 106.27999877929688}, '3_months_later': {'2022-10-11': 85.9000015258789}, '6_months_later': {'2023-01-11': 96.81999969482422}, '12_months_later': {'2023-07-11': 116.4000015258789}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FXNC
|
{'date': '2022-07-11', 'ticker': 'FXNC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.989999771118164, 'high': 18.13999938964844, 'open': 18.0, 'close': 17.989999771118164, 'ema_50': 19.321542320112894, 'rsi_14': 39.26942468631086, 'target': 17.440000534057617, 'volume': 2400.0, 'ema_200': 20.610212647668448, 'adj_close': 17.09984588623047, 'rsi_lag_1': 39.26942468631086, 'rsi_lag_2': 42.574277993167506, 'rsi_lag_3': 43.68936533479499, 'rsi_lag_4': 34.88372952652722, 'rsi_lag_5': 18.874210456178005, 'macd_lag_1': -0.4871276330607408, 'macd_lag_2': -0.501704169322231, 'macd_lag_3': -0.534393534127652, 'macd_lag_4': -0.5683440538010736, 'macd_lag_5': -0.6085012713569391, 'macd_12_26_9': -0.4701559578352281, 'macds_12_26_9': -0.5299774333484766}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 17.440000534057617, '2022-07-13': 17.200000762939453, '2022-07-14': 16.93000030517578, '2022-07-15': 16.760000228881836, '2022-07-18': 16.799999237060547, '2022-07-19': 17.0, '2022-07-20': 17.040000915527344, '2022-07-21': 17.040000915527344, '2022-07-22': 17.309999465942383, '2022-07-25': 17.799999237060547}, '1_month_later': {'2022-08-11': 17.200000762939453}, '3_months_later': {'2022-10-11': 14.359999656677246}, '6_months_later': {'2023-01-11': 17.329999923706055}, '12_months_later': {'2023-07-11': 16.489999771118164}}
|
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.
|
FXP
|
{'date': '2022-07-11', 'ticker': 'FXP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.20000076293945, 'high': 35.08000183105469, 'open': 34.2400016784668, 'close': 34.81999969482422, 'ema_50': 36.64932312268602, 'rsi_14': 47.77693805179484, 'target': 35.349998474121094, 'volume': 32800.0, 'ema_200': 38.46249297085834, 'adj_close': 33.981292724609375, 'rsi_lag_1': 30.932189828522795, 'rsi_lag_2': 39.941050672667494, 'rsi_lag_3': 40.059117944924004, 'rsi_lag_4': 30.68026706000444, 'rsi_lag_5': 41.03009637409467, 'macd_lag_1': -1.868828143991415, 'macd_lag_2': -1.9849003419114126, 'macd_lag_3': -2.0176339034427713, 'macd_lag_4': -2.1756662657078394, 'macd_lag_5': -2.253072441579377, 'macd_12_26_9': -1.5420044159235573, 'macds_12_26_9': -1.9718696263487434}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 35.349998474121094, '2022-07-13': 35.790000915527344, '2022-07-14': 36.84999847412109, '2022-07-15': 37.459999084472656, '2022-07-18': 35.97999954223633, '2022-07-19': 35.2599983215332, '2022-07-20': 35.720001220703125, '2022-07-21': 35.150001525878906, '2022-07-22': 36.72999954223633, '2022-07-25': 36.130001068115234}, '1_month_later': {'2022-08-11': 39.4900016784668}, '3_months_later': {'2022-10-11': 55.43000030517578}, '6_months_later': {'2023-01-11': 27.530000686645508}, '12_months_later': {'2023-07-11': 34.040000915527344}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FXY
|
{'date': '2022-07-11', 'ticker': 'FXY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 67.95999908447266, 'high': 68.18000030517578, 'open': 68.0199966430664, 'close': 68.11000061035156, 'ema_50': 71.07479897073277, 'rsi_14': 35.73089995043546, 'target': 68.41000366210938, 'volume': 37000.0, 'ema_200': 77.17020737166347, 'adj_close': 68.11000061035156, 'rsi_lag_1': 29.38934243037083, 'rsi_lag_2': 39.83608054141199, 'rsi_lag_3': 47.337271428345716, 'rsi_lag_4': 44.88075990082853, 'rsi_lag_5': 46.44408173750894, 'macd_lag_1': -0.7401951952379733, 'macd_lag_2': -0.76849732363317, 'macd_lag_3': -0.7964974094240915, 'macd_lag_4': -0.8318503460231881, 'macd_lag_5': -0.8699643503445174, 'macd_12_26_9': -0.7614378637136809, 'macds_12_26_9': -0.8251910029840247}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 68.41000366210938, '2022-07-13': 68.13999938964844, '2022-07-14': 67.37999725341797, '2022-07-15': 67.55999755859375, '2022-07-18': 67.77999877929688, '2022-07-19': 67.72000122070312, '2022-07-20': 67.68000030517578, '2022-07-21': 68.05999755859375, '2022-07-22': 68.83999633789062, '2022-07-25': 68.4800033569336}, '1_month_later': {'2022-08-11': 70.2699966430664}, '3_months_later': {'2022-10-11': 64.01000213623047}, '6_months_later': {'2023-01-11': 70.41000366210938}, '12_months_later': {'2023-07-11': 66.29000091552734}}
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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.
|
FXZ
|
{'date': '2022-07-11', 'ticker': 'FXZ', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 56.56999969482422, 'open': 55.72999954223633, 'close': 55.93999862670898, 'ema_50': 63.140253260345524, 'rsi_14': 36.742083728611775, 'target': 55.810001373291016, 'volume': 93900.0, 'ema_200': 63.28448689170587, 'adj_close': 54.18159484863281, 'rsi_lag_1': 37.14548270752058, 'rsi_lag_2': 30.163450956919135, 'rsi_lag_3': 20.199524732733465, 'rsi_lag_4': 19.028349209879252, 'rsi_lag_5': 16.106933857507585, 'macd_lag_1': -3.0201977806046827, 'macd_lag_2': -3.145467747073589, 'macd_lag_3': -3.3186598623474097, 'macd_lag_4': -3.3254812074965656, 'macd_lag_5': -3.2776714476705067, 'macd_12_26_9': -2.9227334970092613, 'macds_12_26_9': -3.042005452897637}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 55.810001373291016, '2022-07-13': 55.95000076293945, '2022-07-14': 54.59000015258789, '2022-07-15': 55.52000045776367, '2022-07-18': 56.20000076293945, '2022-07-19': 58.02000045776367, '2022-07-20': 58.150001525878906, '2022-07-21': 58.84999847412109, '2022-07-22': 57.63999938964844, '2022-07-25': 58.65999984741211}, '1_month_later': {'2022-08-11': 63.869998931884766}, '3_months_later': {'2022-10-11': 54.209999084472656}, '6_months_later': {'2023-01-11': 66.76000213623047}, '12_months_later': {'2023-07-11': 65.11000061035156}}
|
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.
|
FYC
|
{'date': '2022-07-11', 'ticker': 'FYC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 54.650001525878906, 'high': 55.130001068115234, 'open': 54.91999816894531, 'close': 54.68999862670898, 'ema_50': 57.58588746920811, 'rsi_14': 58.8473142467463, 'target': 54.41999816894531, 'volume': 10400.0, 'ema_200': 63.97001801111684, 'adj_close': 54.35348510742188, 'rsi_lag_1': 70.63236848399603, 'rsi_lag_2': 55.238890061329286, 'rsi_lag_3': 52.70150641571451, 'rsi_lag_4': 53.992742388005695, 'rsi_lag_5': 40.15862202308672, 'macd_lag_1': -0.6975239492735099, 'macd_lag_2': -0.828707605055996, 'macd_lag_3': -0.9912189658360262, 'macd_lag_4': -1.0376067848272683, 'macd_lag_5': -1.1244854977621372, 'macd_12_26_9': -0.6928927530690814, 'macds_12_26_9': -0.949128630065604}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 54.41999816894531, '2022-07-13': 54.459999084472656, '2022-07-14': 53.77000045776367, '2022-07-15': 54.90999984741211, '2022-07-18': 54.75, '2022-07-19': 56.709999084472656, '2022-07-20': 57.79999923706055, '2022-07-21': 58.18000030517578, '2022-07-22': 57.11000061035156, '2022-07-25': 57.43999862670898}, '1_month_later': {'2022-08-11': 63.2400016784668}, '3_months_later': {'2022-10-11': 54.47999954223633}, '6_months_later': {'2023-01-11': 57.540000915527344}, '12_months_later': {'2023-07-11': 60.869998931884766}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FYLD
|
{'date': '2022-07-11', 'ticker': 'FYLD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.40999984741211, 'high': 22.64999961853028, 'open': 22.559999465942383, 'close': 22.540000915527344, 'ema_50': 25.011280199660128, 'rsi_14': 31.648368692648503, 'target': 22.459999084472656, 'volume': 25800.0, 'ema_200': 26.39059192925146, 'adj_close': 20.559022903442383, 'rsi_lag_1': 30.76924017430227, 'rsi_lag_2': 25.523812430245414, 'rsi_lag_3': 23.929955025159273, 'rsi_lag_4': 23.791102086352453, 'rsi_lag_5': 23.883496871576554, 'macd_lag_1': -0.8848078100267571, 'macd_lag_2': -0.9081844764045428, 'macd_lag_3': -0.9146297902657459, 'macd_lag_4': -0.8688254145761896, 'macd_lag_5': -0.8140158080387394, 'macd_12_26_9': -0.8875205405571229, 'macds_12_26_9': -0.8189509715365234}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 22.459999084472656, '2022-07-13': 22.36000061035156, '2022-07-14': 22.1299991607666, '2022-07-15': 22.209999084472656, '2022-07-18': 22.420000076293945, '2022-07-19': 23.13999938964844, '2022-07-20': 23.100000381469727, '2022-07-21': 23.38999938964844, '2022-07-22': 23.170000076293945, '2022-07-25': 23.450000762939453}, '1_month_later': {'2022-08-11': 24.459999084472656}, '3_months_later': {'2022-10-11': 20.729999542236328}, '6_months_later': {'2023-01-11': 25.0}, '12_months_later': {'2023-07-11': 24.40999984741211}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
FYX
|
{'date': '2022-07-11', 'ticker': 'FYX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 76.94000244140625, 'high': 78.18000030517578, 'open': 77.70999908447266, 'close': 76.94999694824219, 'ema_50': 81.2028772974898, 'rsi_14': 56.916654533802365, 'target': 77.06999969482422, 'volume': 22600.0, 'ema_200': 86.94623675758108, 'adj_close': 75.45353698730469, 'rsi_lag_1': 66.08547060850316, 'rsi_lag_2': 48.998043579790334, 'rsi_lag_3': 47.259359141019885, 'rsi_lag_4': 50.070836683351914, 'rsi_lag_5': 38.73824083132114, 'macd_lag_1': -1.2510450351293088, 'macd_lag_2': -1.3772149777367702, 'macd_lag_3': -1.5294207719588542, 'macd_lag_4': -1.5568629608811904, 'macd_lag_5': -1.6618988118167408, 'macd_12_26_9': -1.2400457903594884, 'macds_12_26_9': -1.4788283500496462}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 77.06999969482422, '2022-07-13': 76.80999755859375, '2022-07-14': 75.7300033569336, '2022-07-15': 77.41999816894531, '2022-07-18': 77.51000213623047, '2022-07-19': 80.30000305175781, '2022-07-20': 81.33999633789062, '2022-07-21': 81.4800033569336, '2022-07-22': 80.68000030517578, '2022-07-25': 81.27999877929688}, '1_month_later': {'2022-08-11': 87.16999816894531}, '3_months_later': {'2022-10-11': 74.5}, '6_months_later': {'2023-01-11': 82.7699966430664}, '12_months_later': {'2023-07-11': 83.33000183105469}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GAA
|
{'date': '2022-07-11', 'ticker': 'GAA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.59199905395508, 'high': 26.71199989318848, 'open': 26.71199989318848, 'close': 26.670000076293945, 'ema_50': 27.992490476121063, 'rsi_14': 31.74393185079404, 'target': 26.44300079345703, 'volume': 1600.0, 'ema_200': 29.575405508858847, 'adj_close': 24.957380294799805, 'rsi_lag_1': 34.4262366275035, 'rsi_lag_2': 25.285940254280376, 'rsi_lag_3': 28.985520600338063, 'rsi_lag_4': 36.04397207478141, 'rsi_lag_5': 27.684016734677442, 'macd_lag_1': -0.4716452067881356, 'macd_lag_2': -0.483782571237402, 'macd_lag_3': -0.4760484873614388, 'macd_lag_4': -0.4392961714709145, 'macd_lag_5': -0.4174589091574177, 'macd_12_26_9': -0.4652167616344549, 'macds_12_26_9': -0.43637278419645886}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 26.44300079345703, '2022-07-13': 26.4060001373291, '2022-07-14': 26.2450008392334, '2022-07-15': 26.44499969482422, '2022-07-18': 26.50900077819824, '2022-07-19': 26.840999603271484, '2022-07-20': 26.725000381469727, '2022-07-21': 26.645000457763672, '2022-07-22': 26.86199951171875, '2022-07-25': 26.96500015258789}, '1_month_later': {'2022-08-11': 27.825000762939453}, '3_months_later': {'2022-10-11': 25.53499984741211}, '6_months_later': {'2023-01-11': 27.84000015258789}, '12_months_later': {'2023-07-11': 26.84000015258789}}
|
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.
|
GBF
|
{'date': '2022-07-11', 'ticker': 'GBF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 107.37000274658205, 'high': 107.6999969482422, 'open': 107.5199966430664, 'close': 107.37999725341795, 'ema_50': 108.30488099500401, 'rsi_14': 57.709878139406875, 'target': 107.6999969482422, 'volume': 25400.0, 'ema_200': 114.05267782245848, 'adj_close': 103.20843505859376, 'rsi_lag_1': 55.60894496814988, 'rsi_lag_2': 61.4649898193727, 'rsi_lag_3': 69.23076071297665, 'rsi_lag_4': 74.18348967837923, 'rsi_lag_5': 56.375014543505664, 'macd_lag_1': -0.18108663654903978, 'macd_lag_2': -0.16406521509560434, 'macd_lag_3': -0.175590273669755, 'macd_lag_4': -0.2182913874552952, 'macd_lag_5': -0.34903644639790343, 'macd_12_26_9': -0.15805682403788524, 'macds_12_26_9': -0.31184798234324373}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 107.6999969482422, '2022-07-13': 108.05999755859376, '2022-07-14': 107.70999908447266, '2022-07-15': 107.98999786376952, '2022-07-18': 107.61000061035156, '2022-07-19': 107.4499969482422, '2022-07-20': 107.37000274658205, '2022-07-21': 108.36000061035156, '2022-07-22': 109.16999816894533, '2022-07-25': 108.73999786376952}, '1_month_later': {'2022-08-11': 108.27999877929688}, '3_months_later': {'2022-10-11': 101.0}, '6_months_later': {'2023-01-11': 105.23999786376952}, '12_months_later': {'2023-07-11': 102.9499969482422}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
GBDC
|
{'date': '2022-07-11', 'ticker': 'GBDC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.350000381469728, 'high': 13.539999961853027, 'open': 13.489999771118164, 'close': 13.369999885559082, 'ema_50': 13.7451468135403, 'rsi_14': 69.78414748858147, 'target': 13.520000457763672, 'volume': 474400.0, 'ema_200': 14.727122847669376, 'adj_close': 11.466328620910645, 'rsi_lag_1': 77.9527263415815, 'rsi_lag_2': 56.83454520755084, 'rsi_lag_3': 52.7559279803978, 'rsi_lag_4': 60.15625349245773, 'rsi_lag_5': 40.217375529962986, 'macd_lag_1': -0.1610146133392032, 'macd_lag_2': -0.2063329168594059, 'macd_lag_3': -0.24081072852751362, 'macd_lag_4': -0.2680778768076948, 'macd_lag_5': -0.30814501066796396, 'macd_12_26_9': -0.1348420141700437, 'macds_12_26_9': -0.24906698364977498}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 13.520000457763672, '2022-07-13': 13.5, '2022-07-14': 13.489999771118164, '2022-07-15': 13.65999984741211, '2022-07-18': 13.68000030517578, '2022-07-19': 13.789999961853027, '2022-07-20': 13.800000190734863, '2022-07-21': 13.789999961853027, '2022-07-22': 13.739999771118164, '2022-07-25': 13.699999809265137}, '1_month_later': {'2022-08-11': 14.18000030517578}, '3_months_later': {'2022-10-11': 12.630000114440918}, '6_months_later': {'2023-01-11': 13.859999656677246}, '12_months_later': {'2023-07-11': 13.40999984741211}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
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