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AC
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{'date': '2022-07-11', 'ticker': 'AC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/canadians-anger-over-rogers-outage-may-complicate-its-merger-hopes-0', 'news_author': None, 'news_article': 'By Divya Rajagopal\nTORONTO, July 10 (Reuters) - Rogers Communications RCIb.TO complicated its chances of getting antitrust approval for a C$20 billion telecom merger after Friday\'s massive outage highlighted the perils of Canada\'s effective telecom monopoly and sparked a backlash against its industry dominance.\nThe Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country\'s cashless payments system and Air Canada\'s AC.TO call center.\nConsumers and opposition politicians called on the government to allow more competition and enact policy changes to curb telecom companies\' power. Rogers, BCE Inc BCE.TO and Telus Corp T.TO control 90% of the market share in Canada.\nSmaller internet and wireless providers rely on their infrastructure network to deliver their own services.\n"The reality is in Canada there is a serious monopoly of our telecommunications," New Democratic Party leader Jagmeet Singh said in a TikTok video as he launched a petition to halt Rogers\' merger plans and "break up these monopolies".\n"The impact of this outage makes it clear this monopoly cannot continue," he added.\nIndustry Minister François-Philippe Champagne, calling the outage "unacceptable", said on Sunday that he would meet with Rogers CEO Tony Staffieri and other industry executives to discuss improving the "reliability of networks across Canada." High cellphone bills have been a hot-button issue in recent Canadian elections.\nThe disruption in internet access, cell phone and landline phone connections meant some callers could not reach emergency services via 911 calls, police across Canada said.\n"Because of the Rogers outage, millions of Canadians couldn\'t call 911 yesterday. Hospitals couldn\'t call in staff. There was no way to call families so that they could say goodbye to their loved ones at end of life," tweeted Amit Arya, director-at-large at the Canadian Society of Palliative Care Physicians.\nRogers, which blamed a router malfunction after maintenance for the disruption, said on Sunday it was aware that some customers were still facing disruptions. It did not comment on whether the outage could impact the merger proceedings.\nFriday\'s outage came two days after Rogers held talks with Canada\'s antitrust authority to discuss possible remedies to its blocked C$20 billion ($15.34 billion) takeover of Shaw Communications SJRb.TO.\nCanada\'s competition bureau blocked the deal earlier this year, saying it would hamper competition in a country where telecom rates are some of the world\'s highest. The merger still awaits a final verdict.\nThe disruption could prompt the Competition Bureau, which generally assesses mergers based on their impact on price, to look more closely at other considerations such as quality and service, said consumer rights groups.\n"It is a \'non-price effect\' (argument) - that is, concentration of ownership and control of critical infrastructure making an ever more central point of failure to deliver basic services," said John Lawford, executive director of the Ottawa-based Public Interest Advocacy Centre (PIAC), which has argued against the merger at the Competition Bureau.\nBut Vass Bedner, Executive Director of the Public Policy program in McMaster University, said the outage was a separate issue from Rogers\' merger plan.\n"I don’t think this issue will impact the merger because I am not sure how the Competition Bureau can account for risk of bigger outage,” Bedner said.\nUniversity of Ottawa professor Michael Geist, who focuses on the internet and e-commerce law, said the outage "must be a wake-up for a government that has been asleep on digital policy."\n"The blame for Friday\'s outage may lie with Rogers, but the government and (Canadian telecommunications regulator) should be held accountable for a failure to respond," he wrote on his blog.\nThe outage, which began around 4:30 a.m. ET (0830 GMT) on Friday before service was fully restored on Saturday, knocked out a quarter of Canada\'s observable internet connectivity, said the NetBlocks monitoring group.\nThe interruption was Rogers\' second in 15 months with an external software upgrade knocking out service primarily to consumer clients last year.\n(Reporting by Divya Rajagopal; writing by Amran Abocar; Editing by Chizu Nomiyama)\n(([email protected];))\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'The Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country\'s cashless payments system and Air Canada\'s AC.TO call center. The disruption could prompt the Competition Bureau, which generally assesses mergers based on their impact on price, to look more closely at other considerations such as quality and service, said consumer rights groups. "It is a \'non-price effect\' (argument) - that is, concentration of ownership and control of critical infrastructure making an ever more central point of failure to deliver basic services," said John Lawford, executive director of the Ottawa-based Public Interest Advocacy Centre (PIAC), which has argued against the merger at the Competition Bureau.', 'news_luhn_summary': '"The blame for Friday\'s outage may lie with Rogers, but the government and (Canadian telecommunications regulator) should be held accountable for a failure to respond," he wrote on his blog. By Divya Rajagopal TORONTO, July 10 (Reuters) - Rogers Communications RCIb.TO complicated its chances of getting antitrust approval for a C$20 billion telecom merger after Friday\'s massive outage highlighted the perils of Canada\'s effective telecom monopoly and sparked a backlash against its industry dominance. The Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country\'s cashless payments system and Air Canada\'s AC.TO call center.', 'news_article_title': "Canadians' anger over Rogers outage may complicate its merger hopes", 'news_lexrank_summary': '"I don’t think this issue will impact the merger because I am not sure how the Competition Bureau can account for risk of bigger outage,” Bedner said. By Divya Rajagopal TORONTO, July 10 (Reuters) - Rogers Communications RCIb.TO complicated its chances of getting antitrust approval for a C$20 billion telecom merger after Friday\'s massive outage highlighted the perils of Canada\'s effective telecom monopoly and sparked a backlash against its industry dominance. The Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country\'s cashless payments system and Air Canada\'s AC.TO call center.', 'news_textrank_summary': 'By Divya Rajagopal TORONTO, July 10 (Reuters) - Rogers Communications RCIb.TO complicated its chances of getting antitrust approval for a C$20 billion telecom merger after Friday\'s massive outage highlighted the perils of Canada\'s effective telecom monopoly and sparked a backlash against its industry dominance. The Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country\'s cashless payments system and Air Canada\'s AC.TO call center. Industry Minister François-Philippe Champagne, calling the outage "unacceptable", said on Sunday that he would meet with Rogers CEO Tony Staffieri and other industry executives to discuss improving the "reliability of networks across Canada."'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.060001373291016, 'high': 37.68000030517578, 'open': 37.060001373291016, 'close': 37.68000030517578, 'ema_50': 37.69913738032788, 'rsi_14': 84.5606070902707, 'target': 36.86000061035156, 'volume': 3500.0, 'ema_200': 38.859498385123416, 'adj_close': 37.365482330322266, 'rsi_lag_1': 75.74473956536737, 'rsi_lag_2': 68.16144226500884, 'rsi_lag_3': 56.05216123752586, 'rsi_lag_4': 53.54331713837305, 'rsi_lag_5': 39.999987985195354, 'macd_lag_1': -0.27161756785100977, 'macd_lag_2': -0.3919334101104681, 'macd_lag_3': -0.4868538252931742, 'macd_lag_4': -0.5978708602300529, 'macd_lag_5': -0.6972724767842209, 'macd_12_26_9': -0.1758531402858523, 'macds_12_26_9': -0.49685558645467237}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 36.86000061035156, '2022-07-13': 36.7599983215332, '2022-07-14': 37.16999816894531, '2022-07-15': 37.900001525878906, '2022-07-18': 37.41999816894531, '2022-07-19': 37.720001220703125, '2022-07-20': 38.900001525878906, '2022-07-21': 38.95000076293945, '2022-07-22': 38.619998931884766, '2022-07-25': 38.459999084472656}, '1_month_later': {'2022-08-11': 40.459999084472656}, '3_months_later': {'2022-10-11': 39.70000076293945}, '6_months_later': {'2023-01-11': 40.34000015258789}, '12_months_later': {'2023-07-11': 35.59000015258789}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ABUS
|
{'date': '2022-07-11', 'ticker': 'ABUS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.5799999237060547, 'high': 2.8499999046325684, 'open': 2.8299999237060547, 'close': 2.5799999237060547, 'ema_50': 2.648902069695289, 'rsi_14': 45.901635179467554, 'target': 2.569999933242798, 'volume': 641700.0, 'ema_200': 2.9667161327991662, 'adj_close': 2.5799999237060547, 'rsi_lag_1': 63.20753762119135, 'rsi_lag_2': 63.888878464214386, 'rsi_lag_3': 66.08694354167928, 'rsi_lag_4': 72.3214213489293, 'rsi_lag_5': 61.8644048961475, 'macd_lag_1': 0.08388982156265312, 'macd_lag_2': 0.08234096716860062, 'macd_lag_3': 0.07916637894683065, 'macd_lag_4': 0.07905384324947562, 'macd_lag_5': 0.06961486164126018, 'macd_12_26_9': 0.06260884209305662, 'macds_12_26_9': 0.07168255377539554}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.569999933242798, '2022-07-13': 2.569999933242798, '2022-07-14': 2.5299999713897705, '2022-07-15': 2.539999961853028, '2022-07-18': 2.450000047683716, '2022-07-19': 2.509999990463257, '2022-07-20': 2.569999933242798, '2022-07-21': 2.5799999237060547, '2022-07-22': 2.390000104904175, '2022-07-25': 2.4100000858306885}, '1_month_later': {'2022-08-11': 2.470000028610229}, '3_months_later': {'2022-10-11': 1.919999957084656}, '6_months_later': {'2023-01-11': 2.690000057220459}, '12_months_later': {'2023-07-11': 2.2699999809265137}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ABT
|
{'date': '2022-07-11', 'ticker': 'ABT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/iwd-bac-abt-bmy%3A-etf-outflow-alert', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the iShares Russell 1000 Value ETF (Symbol: IWD) where we have detected an approximate $117.8 million dollar outflow -- that's a 0.2% decrease week over week (from 351,850,000 to 351,050,000). Among the largest underlying components of IWD, in trading today Bank of America Corp (Symbol: BAC) is down about 0.8%, Abbott Laboratories (Symbol: ABT) is down about 0.7%, and Bristol Myers Squibb Co. (Symbol: BMY) is up by about 0.1%. For a complete list of holdings, visit the IWD Holdings page » The chart below shows the one year price performance of IWD, versus its 200 day moving average:\nLooking at the chart above, IWD's low point in its 52 week range is $139.96 per share, with $171.42 as the 52 week high point — that compares with a last trade of $145.99. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average ».\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs experienced notable outflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Among the largest underlying components of IWD, in trading today Bank of America Corp (Symbol: BAC) is down about 0.8%, Abbott Laboratories (Symbol: ABT) is down about 0.7%, and Bristol Myers Squibb Co. (Symbol: BMY) is up by about 0.1%. For a complete list of holdings, visit the IWD Holdings page » The chart below shows the one year price performance of IWD, versus its 200 day moving average: Looking at the chart above, IWD's low point in its 52 week range is $139.96 per share, with $171.42 as the 52 week high point — that compares with a last trade of $145.99. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "Among the largest underlying components of IWD, in trading today Bank of America Corp (Symbol: BAC) is down about 0.8%, Abbott Laboratories (Symbol: ABT) is down about 0.7%, and Bristol Myers Squibb Co. (Symbol: BMY) is up by about 0.1%. For a complete list of holdings, visit the IWD Holdings page » The chart below shows the one year price performance of IWD, versus its 200 day moving average: Looking at the chart above, IWD's low point in its 52 week range is $139.96 per share, with $171.42 as the 52 week high point — that compares with a last trade of $145.99. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed).", 'news_article_title': 'IWD, BAC, ABT, BMY: ETF Outflow Alert', 'news_lexrank_summary': "Among the largest underlying components of IWD, in trading today Bank of America Corp (Symbol: BAC) is down about 0.8%, Abbott Laboratories (Symbol: ABT) is down about 0.7%, and Bristol Myers Squibb Co. (Symbol: BMY) is up by about 0.1%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the iShares Russell 1000 Value ETF (Symbol: IWD) where we have detected an approximate $117.8 million dollar outflow -- that's a 0.2% decrease week over week (from 351,850,000 to 351,050,000). For a complete list of holdings, visit the IWD Holdings page » The chart below shows the one year price performance of IWD, versus its 200 day moving average: Looking at the chart above, IWD's low point in its 52 week range is $139.96 per share, with $171.42 as the 52 week high point — that compares with a last trade of $145.99.", 'news_textrank_summary': "Among the largest underlying components of IWD, in trading today Bank of America Corp (Symbol: BAC) is down about 0.8%, Abbott Laboratories (Symbol: ABT) is down about 0.7%, and Bristol Myers Squibb Co. (Symbol: BMY) is up by about 0.1%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the iShares Russell 1000 Value ETF (Symbol: IWD) where we have detected an approximate $117.8 million dollar outflow -- that's a 0.2% decrease week over week (from 351,850,000 to 351,050,000). For a complete list of holdings, visit the IWD Holdings page » The chart below shows the one year price performance of IWD, versus its 200 day moving average: Looking at the chart above, IWD's low point in its 52 week range is $139.96 per share, with $171.42 as the 52 week high point — that compares with a last trade of $145.99."}, {'news_url': 'https://www.nasdaq.com/articles/2-dividend-stocks-you-can-confidently-buy-in-a-bear-market', 'news_author': None, 'news_article': "Did you know that a bad market technically isn't a bear market until the benchmark S&P 500 index is at least 20% below its latest peak? We're not quite there at the moment. After recovering from steep losses for a few days, the index is about 19% below the high water mark it set in January.\nWe may have emerged from a bear market already but it would be pretty irresponsible of us not to prepare for more rough weather ahead. These two giants of the healthcare sector are about as reliable as businesses get. Here's why you can count on steadily growing dividend payments from these two healthcare stocks.\nAbbott Laboratories\nYou've more than likely seen some of Abbott Laboratories' (NYSE: ABT) COVID-19 diagnostic products. If you've been having a hard time finding baby formula you're also aware of this company's nutrition business.\nWhat you probably don't know is that Abbott Laboratories recently paid its 394th consecutive quarterly dividend. The company's also raised the payout for 50 consecutive years.\nIf you're one of an estimated 37.3 million Americans living with diabetes, it's just a matter of time before you're also familiar with the most important new product Abbott Laboratories has launched in a long time.\nIn May, the Freestyle Libre 3 received clearance from the FDA to monitor blood sugar levels 24 hours a day for 14 days at a time. The device is about the size of two pennies stacked on top of each other which is a little smaller than the constant glucose monitor (CGM) it could end up competing with, the new G7 from Dexcom (NASDAQ: DXCM).\nDexcom developed the G7 for just 10 days of use at a time and it still hasn't received clearance from the FDA. Without a significant competitor for the Freestyle Libre 3 in the U.S., Abbott's CGM sales could shoot through the roof and easily offset slackening demand for COVID-19 tests.\nShares of Abbott are about 23% below the peak they reached in January even though the Freestyle Libre 3 seems destined to gain and maintain a leading share of the lucrative CGM market.\nAbbott Laboratories shares offer a 1.7% yield at recent prices. While this yield isn't very tempting at first glance, CGM sales could help it grow the payout by leaps and bounds.\nJohnson & Johnson\nIf you're willing to trade slower growth in the future for a higher yield in the present, consider Johnson & Johnson (NYSE: JNJ). With a AAA credit rating and a 60-year record of consecutive dividend raises, this healthcare conglomerate is a dividend investor's dream come true.\nRight now is a particularly good time to buy Johnson & Johnson because in 2023 it will spin off its consumer goods segment into a separate new business. This means existing shareholders will end up with two dividend-paying stocks in their portfolio for the price of one.\nThe company's consumer goods segment hasn't been a major source of growth in a long time but its pharmaceutical business is stronger than ever. For example, Tremfya is a recently launched psoriasis treatment with sales that rose 41% year over year in the first quarter and it's already on pace to generate $2.4 billion in revenue this year,\nJohnson & Johnson's quarterly payouts have risen about 35% over the past five years. The stock currently offers a 2.5% yield and after it spins off its consumer segment, both stocks will pay dividends that meet or exceed the payments investors are currently receiving.\nWithout a stodgy consumer health segment holding it back, J&J's soon-to-be streamlined operation could deliver impressive growth in 2023 and beyond. That makes it a solid addition now for just about any income-seeking investor's portfolio.\n10 stocks we like better than Johnson & Johnson\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 Johnson & Johnson 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\nCory Renauer has no position in any of the stocks mentioned. The Motley Fool recommends DexCom and Johnson & Johnson. 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': "Abbott Laboratories You've more than likely seen some of Abbott Laboratories' (NYSE: ABT) COVID-19 diagnostic products. The device is about the size of two pennies stacked on top of each other which is a little smaller than the constant glucose monitor (CGM) it could end up competing with, the new G7 from Dexcom (NASDAQ: DXCM). Without a significant competitor for the Freestyle Libre 3 in the U.S., Abbott's CGM sales could shoot through the roof and easily offset slackening demand for COVID-19 tests.", 'news_luhn_summary': "Abbott Laboratories You've more than likely seen some of Abbott Laboratories' (NYSE: ABT) COVID-19 diagnostic products. Abbott Laboratories shares offer a 1.7% yield at recent prices. For example, Tremfya is a recently launched psoriasis treatment with sales that rose 41% year over year in the first quarter and it's already on pace to generate $2.4 billion in revenue this year, Johnson & Johnson's quarterly payouts have risen about 35% over the past five years.", 'news_article_title': '2 Dividend Stocks You Can Confidently Buy in a Bear Market', 'news_lexrank_summary': "Abbott Laboratories You've more than likely seen some of Abbott Laboratories' (NYSE: ABT) COVID-19 diagnostic products. Here's why you can count on steadily growing dividend payments from these two healthcare stocks. The company's consumer goods segment hasn't been a major source of growth in a long time but its pharmaceutical business is stronger than ever.", 'news_textrank_summary': "Abbott Laboratories You've more than likely seen some of Abbott Laboratories' (NYSE: ABT) COVID-19 diagnostic products. Johnson & Johnson If you're willing to trade slower growth in the future for a higher yield in the present, consider Johnson & Johnson (NYSE: JNJ). For example, Tremfya is a recently launched psoriasis treatment with sales that rose 41% year over year in the first quarter and it's already on pace to generate $2.4 billion in revenue this year, Johnson & Johnson's quarterly payouts have risen about 35% over the past five years."}, {'news_url': 'https://www.nasdaq.com/articles/us-to-import-4.9-mln-cans-of-baby-formula-from-australia', 'news_author': None, 'news_article': "(RTTNews) - The U.S. Food and Drug Administration announced the intended availability of around 4.88 million cans of infant formula from Australia as part of its efforts to meet the nationwide supply shortage caused by Abbott Nutrition recall.\nThe news comes as Abbott has resumed the production at Michigan baby formula plant that was closed for few weeks due to flooding.\nUnder the FDA's enforcement discretion to source more infant formula to the U.S., Australia's Care A2+ will send about 8.6 million pounds or about 121 million full-size, 8-ounce bottles of 0-12 months general infant formula.\nThe initial product will be shipped in the first week of August with multiple shipments thereafter. In the U.S., the product will be distributed to as many as 20,000 retail locations for a 91% coverage of the population.\nThe product will be available in CVS and Rite Aid Drug Stores, Whole Foods Market, Kroger, HCA Healthcare, Publix Super Markets, Safeway, The Vitamin Shoppe, Duane Reade Convenience Store and Peapod Online Grocer.\nIn late June, the FDA had announced that around 17 million bottles equivalent of general infant formula in total will be imported from New Zealand by French food company Danone SA, and from Ireland by Abbott Nutrition.\nIn its latest update, the FDA noted that its increased flexibilities have resulted in total estimated quantity of 23.2 million cans, or about 524.1 million full-size, 8-ounce bottles of infant formula products from various countries.\nThe FDA said it expects that the measures and steps it is taking, and the resumption of production at the Abbott Nutrition's Sturgis, Michigan facility, will result in more supply to store shelves.\nMedia reported, citing Abbott spokesperson, that the formula plant in Sturgis, Michigan, resumed EleCare formula production on July 1 after a three-week shutdown caused by flooding.\nAbbott in mid-June had stopped production of its EleCare specialty formula to clean and re-sanitize the plant following damage caused by torrential storm and rainfall.\nThe plant, which was previously closed for months after reporting bacterial infections and related deaths in babies, had reopened in early June only in agreement with the FDA.\nThe initial plant closure by Abbott Nutrition, the largest U.S. infant formula manufacturer, and the resultant major recall of its most popular powder formulas, had triggered the ongoing severe shortage for infant formula supplies in the country.\nFor More Such Health News, visit rttnews.com\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "(RTTNews) - The U.S. Food and Drug Administration announced the intended availability of around 4.88 million cans of infant formula from Australia as part of its efforts to meet the nationwide supply shortage caused by Abbott Nutrition recall. In late June, the FDA had announced that around 17 million bottles equivalent of general infant formula in total will be imported from New Zealand by French food company Danone SA, and from Ireland by Abbott Nutrition. The FDA said it expects that the measures and steps it is taking, and the resumption of production at the Abbott Nutrition's Sturgis, Michigan facility, will result in more supply to store shelves.", 'news_luhn_summary': 'The news comes as Abbott has resumed the production at Michigan baby formula plant that was closed for few weeks due to flooding. In its latest update, the FDA noted that its increased flexibilities have resulted in total estimated quantity of 23.2 million cans, or about 524.1 million full-size, 8-ounce bottles of infant formula products from various countries. Media reported, citing Abbott spokesperson, that the formula plant in Sturgis, Michigan, resumed EleCare formula production on July 1 after a three-week shutdown caused by flooding.', 'news_article_title': 'US To Import 4.9 Mln Cans Of Baby Formula From Australia', 'news_lexrank_summary': '(RTTNews) - The U.S. Food and Drug Administration announced the intended availability of around 4.88 million cans of infant formula from Australia as part of its efforts to meet the nationwide supply shortage caused by Abbott Nutrition recall. The news comes as Abbott has resumed the production at Michigan baby formula plant that was closed for few weeks due to flooding. Media reported, citing Abbott spokesperson, that the formula plant in Sturgis, Michigan, resumed EleCare formula production on July 1 after a three-week shutdown caused by flooding.', 'news_textrank_summary': "Under the FDA's enforcement discretion to source more infant formula to the U.S., Australia's Care A2+ will send about 8.6 million pounds or about 121 million full-size, 8-ounce bottles of 0-12 months general infant formula. Media reported, citing Abbott spokesperson, that the formula plant in Sturgis, Michigan, resumed EleCare formula production on July 1 after a three-week shutdown caused by flooding. The initial plant closure by Abbott Nutrition, the largest U.S. infant formula manufacturer, and the resultant major recall of its most popular powder formulas, had triggered the ongoing severe shortage for infant formula supplies in the country."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 108.08000183105467, 'high': 109.4000015258789, 'open': 108.5999984741211, 'close': 108.88999938964844, 'ema_50': 111.30327217880902, 'rsi_14': 69.29614122544514, 'target': 108.3000030517578, 'volume': 4041100.0, 'ema_200': 117.81039487967723, 'adj_close': 105.78285217285156, 'rsi_lag_1': 71.69587358301182, 'rsi_lag_2': 62.29679769205624, 'rsi_lag_3': 64.28217328323373, 'rsi_lag_4': 57.53668488585412, 'rsi_lag_5': 51.16647746521749, 'macd_lag_1': -0.6785050865826179, 'macd_lag_2': -0.786826304297378, 'macd_lag_3': -0.9370565681947909, 'macd_lag_4': -1.0337210210276737, 'macd_lag_5': -1.2041732244825738, 'macd_12_26_9': -0.6154216725837642, 'macds_12_26_9': -1.097727661547458}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 108.3000030517578, '2022-07-13': 106.20999908447266, '2022-07-14': 105.70999908447266, '2022-07-15': 108.81999969482422, '2022-07-18': 107.0199966430664, '2022-07-19': 109.93000030517578, '2022-07-20': 108.2300033569336, '2022-07-21': 110.69000244140624, '2022-07-22': 109.1999969482422, '2022-07-25': 108.5}, '1_month_later': {'2022-08-11': 110.48999786376952}, '3_months_later': {'2022-10-11': 101.75}, '6_months_later': {'2023-01-11': 113.1500015258789}, '12_months_later': {'2023-07-11': 107.5}}
|
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.
|
ADCT
|
{'date': '2022-07-11', 'ticker': 'ADCT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.40999984741211, 'high': 10.329999923706056, 'open': 10.329999923706056, 'close': 9.40999984741211, 'ema_50': 8.726808020685002, 'rsi_14': 76.10920118668922, 'target': 9.109999656677246, 'volume': 272000.0, 'ema_200': 15.038885814146429, 'adj_close': 9.40999984741211, 'rsi_lag_1': 90.65419178007959, 'rsi_lag_2': 86.24706645239755, 'rsi_lag_3': 85.08555376336878, 'rsi_lag_4': 80.14182910120869, 'rsi_lag_5': 71.79486096479343, 'macd_lag_1': 0.43249578548139844, 'macd_lag_2': 0.27712363051064237, 'macd_lag_3': 0.1918723399831901, 'macd_lag_4': 0.10266984958951042, 'macd_lag_5': -0.003514790253978717, 'macd_12_26_9': 0.47750246198653734, 'macds_12_26_9': 0.1196372845925095}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 9.109999656677246, '2022-07-13': 8.9399995803833, '2022-07-14': 8.40999984741211, '2022-07-15': 8.100000381469727, '2022-07-18': 7.769999980926514, '2022-07-19': 7.590000152587891, '2022-07-20': 7.610000133514404, '2022-07-21': 7.559999942779541, '2022-07-22': 7.360000133514404, '2022-07-25': 7.199999809265137}, '1_month_later': {'2022-08-11': 8.119999885559082}, '3_months_later': {'2022-10-11': 4.110000133514404}, '6_months_later': {'2023-01-11': 4.269999980926514}, '12_months_later': {'2023-07-11': 1.850000023841858}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ABR
|
{'date': '2022-07-11', 'ticker': 'ABR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/arbor-realty-trust-abr-stock-moves-0.58%3A-what-you-should-know', 'news_author': None, 'news_article': 'Arbor Realty Trust (ABR) closed at $13.75 in the latest trading session, marking a -0.58% move from the prior day. This move was narrower than the S&P 500\'s daily loss of 1.15%. At the same time, the Dow lost 0.52%, and the tech-heavy Nasdaq lost 0.34%.\nHeading into today, shares of the real estate investment trust had lost 8.95% over the past month, lagging the Finance sector\'s loss of 7.08% and the S&P 500\'s loss of 5.08% in that time.\nArbor Realty Trust will be looking to display strength as it nears its next earnings release. On that day, Arbor Realty Trust is projected to report earnings of $0.43 per share, which would represent a year-over-year decline of 4.44%. Our most recent consensus estimate is calling for quarterly revenue of $183.38 million, up 74.39% from the year-ago period.\nFor the full year, our Zacks Consensus Estimates are projecting earnings of $1.86 per share and revenue of $773.65 million, which would represent changes of -7.46% and +65.99%, respectively, from the prior year.\nInvestors should also note any recent changes to analyst estimates for Arbor Realty Trust. These revisions help to show the ever-changing nature of near-term business trends. As a result, we can interpret positive estimate revisions as a good sign for the company\'s business outlook.\nOur research shows that these estimate changes are directly correlated with near-term stock prices. Investors can capitalize on this by using the Zacks Rank. This model considers these estimate changes and provides a simple, actionable rating system.\nRanging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. The Zacks Consensus EPS estimate remained stagnant within the past month. Arbor Realty Trust is currently a Zacks Rank #3 (Hold).\nLooking at its valuation, Arbor Realty Trust is holding a Forward P/E ratio of 7.44. Its industry sports an average Forward P/E of 8.23, so we one might conclude that Arbor Realty Trust is trading at a discount comparatively.\nThe REIT and Equity Trust industry is part of the Finance sector. This group has a Zacks Industry Rank of 158, putting it in the bottom 38% of all 250+ industries.\nThe Zacks Industry Rank gauges the strength of our individual industry groups by measuring the average Zacks Rank of the individual stocks within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nTo follow ABR in the coming trading sessions, be sure to utilize Zacks.com.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nArbor Realty Trust (ABR): 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': 'Arbor Realty Trust (ABR) closed at $13.75 in the latest trading session, marking a -0.58% move from the prior day. To follow ABR in the coming trading sessions, be sure to utilize Zacks.com. Arbor Realty Trust (ABR): Free Stock Analysis Report', 'news_luhn_summary': 'Arbor Realty Trust (ABR): Free Stock Analysis Report Arbor Realty Trust (ABR) closed at $13.75 in the latest trading session, marking a -0.58% move from the prior day. To follow ABR in the coming trading sessions, be sure to utilize Zacks.com.', 'news_article_title': 'Arbor Realty Trust (ABR) Stock Moves -0.58%: What You Should Know', 'news_lexrank_summary': 'Arbor Realty Trust (ABR) closed at $13.75 in the latest trading session, marking a -0.58% move from the prior day. Arbor Realty Trust (ABR): Free Stock Analysis Report To follow ABR in the coming trading sessions, be sure to utilize Zacks.com.', 'news_textrank_summary': 'Arbor Realty Trust (ABR): Free Stock Analysis Report Arbor Realty Trust (ABR) closed at $13.75 in the latest trading session, marking a -0.58% move from the prior day. To follow ABR in the coming trading sessions, be sure to utilize Zacks.com.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.710000038146973, 'high': 13.9399995803833, 'open': 13.81999969482422, 'close': 13.75, 'ema_50': 14.925782661592377, 'rsi_14': 66.18181881234639, 'target': 13.829999923706056, 'volume': 1563300.0, 'ema_200': 16.57828060670056, 'adj_close': 11.57186222076416, 'rsi_lag_1': 73.60247481426305, 'rsi_lag_2': 57.21392857786775, 'rsi_lag_3': 51.04166563186382, 'rsi_lag_4': 46.77803790752501, 'rsi_lag_5': 33.4615474904064, 'macd_lag_1': -0.5266777303297392, 'macd_lag_2': -0.5914179310190182, 'macd_lag_3': -0.6583202847018619, 'macd_lag_4': -0.6995182509978992, 'macd_lag_5': -0.7694178847448772, 'macd_12_26_9': -0.4763350857511064, 'macds_12_26_9': -0.6547916528326944}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 13.829999923706056, '2022-07-13': 13.960000038146973, '2022-07-14': 13.529999732971191, '2022-07-15': 13.829999923706056, '2022-07-18': 14.149999618530272, '2022-07-19': 14.779999732971191, '2022-07-20': 14.890000343322754, '2022-07-21': 15.220000267028809, '2022-07-22': 15.239999771118164, '2022-07-25': 15.520000457763672}, '1_month_later': {'2022-08-11': 15.9399995803833}, '3_months_later': {'2022-10-11': 12.289999961853027}, '6_months_later': {'2023-01-11': 14.09000015258789}, '12_months_later': {'2023-07-11': 15.6899995803833}}
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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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ABIO
|
{'date': '2022-07-11', 'ticker': 'ABIO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.440000057220459, 'high': 2.5199999809265137, 'open': 2.5199999809265137, 'close': 2.5, 'ema_50': 2.3869909405657017, 'rsi_14': 63.15791014710016, 'target': 2.490000009536743, 'volume': 31700.0, 'ema_200': 2.4988811563215596, 'adj_close': 2.5, 'rsi_lag_1': 68.25398026801291, 'rsi_lag_2': 65.51725555402547, 'rsi_lag_3': 74.54546557970858, 'rsi_lag_4': 70.68966722092165, 'rsi_lag_5': 60.31747533501614, 'macd_lag_1': 0.0424235190814608, 'macd_lag_2': 0.041472839908870185, 'macd_lag_3': 0.045765271358369386, 'macd_lag_4': 0.04446921301478257, 'macd_lag_5': 0.042168146357842495, 'macd_12_26_9': 0.04188717424717403, 'macds_12_26_9': 0.03814559479606836}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.490000009536743, '2022-07-13': 2.5, '2022-07-14': 2.4600000381469727, '2022-07-15': 2.490000009536743, '2022-07-18': 2.400000095367432, '2022-07-19': 2.4200000762939453, '2022-07-20': 2.359999895095825, '2022-07-21': 2.4600000381469727, '2022-07-22': 2.4100000858306885, '2022-07-25': 2.390000104904175}, '1_month_later': {'2022-08-11': 2.400000095367432}, '3_months_later': {'2022-10-11': 2.009999990463257}, '6_months_later': {'2023-01-11': 2.369999885559082}, '12_months_later': {'2023-07-11': 2.049999952316284}}
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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.
|
ABEV
|
{'date': '2022-07-11', 'ticker': 'ABEV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.559999942779541, 'high': 2.640000104904175, 'open': 2.640000104904175, 'close': 2.569999933242798, 'ema_50': 2.7064258193253297, 'rsi_14': 56.45160794133979, 'target': 2.509999990463257, 'volume': 28983400.0, 'ema_200': 2.8481072813569726, 'adj_close': 2.31559157371521, 'rsi_lag_1': 70.90910351966694, 'rsi_lag_2': 57.62713576692829, 'rsi_lag_3': 56.89655172413792, 'rsi_lag_4': 50.847457627118644, 'rsi_lag_5': 42.25350693798495, 'macd_lag_1': -0.04203306275368712, 'macd_lag_2': -0.05417667601724441, 'macd_lag_3': -0.06379741378663928, 'macd_lag_4': -0.07107626358411556, 'macd_lag_5': -0.07627834367744013, 'macd_12_26_9': -0.04081476600129541, 'macds_12_26_9': -0.061563949362387786}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.509999990463257, '2022-07-13': 2.6600000858306885, '2022-07-14': 2.690000057220459, '2022-07-15': 2.650000095367432, '2022-07-18': 2.640000104904175, '2022-07-19': 2.650000095367432, '2022-07-20': 2.5899999141693115, '2022-07-21': 2.609999895095825, '2022-07-22': 2.609999895095825, '2022-07-25': 2.690000057220459}, '1_month_later': {'2022-08-11': 2.900000095367432}, '3_months_later': {'2022-10-11': 2.799999952316284}, '6_months_later': {'2023-01-11': 2.720000028610229}, '12_months_later': {'2023-07-11': 3.0}}
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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.
|
ABEQ
|
{'date': '2022-07-11', 'ticker': 'ABEQ', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.540000915527344, 'high': 26.89999961853028, 'open': 26.540000915527344, 'close': 26.80500030517578, 'ema_50': 27.876944914295624, 'rsi_14': 51.038052578120414, 'target': 26.66399955749512, 'volume': 14600.0, 'ema_200': 28.153384894964823, 'adj_close': 25.90697860717773, 'rsi_lag_1': 51.827126968000044, 'rsi_lag_2': 46.007506840219946, 'rsi_lag_3': 44.35872644705064, 'rsi_lag_4': 41.704416875279954, 'rsi_lag_5': 37.41865448059109, 'macd_lag_1': -0.37938310287757915, 'macd_lag_2': -0.39356584707205755, 'macd_lag_3': -0.412460065830043, 'macd_lag_4': -0.4128601985652409, 'macd_lag_5': -0.4105218576024967, 'macd_12_26_9': -0.37264290914523457, 'macds_12_26_9': -0.40080229893189895}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 26.66399955749512, '2022-07-13': 26.663000106811523, '2022-07-14': 26.34000015258789, '2022-07-15': 26.558000564575195, '2022-07-18': 26.5, '2022-07-19': 26.920000076293945, '2022-07-20': 26.777999877929688, '2022-07-21': 26.74300003051757, '2022-07-22': 26.6200008392334, '2022-07-25': 26.746000289916992}, '1_month_later': {'2022-08-11': 27.4950008392334}, '3_months_later': {'2022-10-11': 25.327999114990234}, '6_months_later': {'2023-01-11': 28.75300025939941}, '12_months_later': {'2023-07-11': 28.020999908447266}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ABEO
|
{'date': '2022-07-11', 'ticker': 'ABEO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.510000228881836, 'high': 6.130000114440918, 'open': 5.630000114440918, 'close': 5.559999942779541, 'ema_50': 4.788736736236373, 'rsi_14': 64.28571366190849, 'target': 5.460000038146973, 'volume': 363400.0, 'ema_200': 11.584860288360055, 'adj_close': 5.559999942779541, 'rsi_lag_1': 63.82189061249159, 'rsi_lag_2': 55.88235262387733, 'rsi_lag_3': 47.29729668775383, 'rsi_lag_4': 51.1695895017749, 'rsi_lag_5': 58.33333333333333, 'macd_lag_1': 0.09930142206404291, 'macd_lag_2': 0.013919076970661415, 'macd_lag_3': 0.0035013122059579516, 'macd_lag_4': 0.06346262173269146, 'macd_lag_5': 0.11056287612555948, 'macd_12_26_9': 0.1706488409214293, 'macds_12_26_9': 0.05105171811744367}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 5.460000038146973, '2022-07-13': 5.050000190734863, '2022-07-14': 4.760000228881836, '2022-07-15': 4.849999904632568, '2022-07-18': 4.699999809265137, '2022-07-19': 4.860000133514404, '2022-07-20': 5.079999923706055, '2022-07-21': 5.099999904632568, '2022-07-22': 4.840000152587891, '2022-07-25': 4.289999961853027}, '1_month_later': {'2022-08-11': 4.659999847412109}, '3_months_later': {'2022-10-11': 5.650000095367432}, '6_months_later': {'2023-01-11': 2.7300000190734863}, '12_months_later': {'2023-07-11': 4.099999904632568}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ABCB
|
{'date': '2022-07-11', 'ticker': 'ABCB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 40.34999847412109, 'high': 41.06999969482422, 'open': 40.7599983215332, 'close': 40.70000076293945, 'ema_50': 42.42211764170016, 'rsi_14': 55.447165868475494, 'target': 40.93999862670898, 'volume': 538700.0, 'ema_200': 45.674318451238605, 'adj_close': 39.82221603393555, 'rsi_lag_1': 62.56324319803923, 'rsi_lag_2': 46.90264718520459, 'rsi_lag_3': 45.854273825195875, 'rsi_lag_4': 50.11682508501737, 'rsi_lag_5': 41.577836692747304, 'macd_lag_1': -0.5758919197031744, 'macd_lag_2': -0.629590944523791, 'macd_lag_3': -0.6920271618119926, 'macd_lag_4': -0.7555433987893068, 'macd_lag_5': -0.829696312311647, 'macd_12_26_9': -0.5687386812783828, 'macds_12_26_9': -0.657641577399427}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 40.93999862670898, '2022-07-13': 39.880001068115234, '2022-07-14': 38.86000061035156, '2022-07-15': 40.52999877929688, '2022-07-18': 40.63999938964844, '2022-07-19': 42.130001068115234, '2022-07-20': 42.5, '2022-07-21': 42.52999877929688, '2022-07-22': 42.2400016784668, '2022-07-25': 43.34000015258789}, '1_month_later': {'2022-08-11': 48.93000030517578}, '3_months_later': {'2022-10-11': 48.060001373291016}, '6_months_later': {'2023-01-11': 48.29999923706055}, '12_months_later': {'2023-07-11': 35.0}}
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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.
|
ades
|
{'date': '2022-07-11', 'ticker': 'ades', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.5, 'high': 4.619999885559082, 'open': 4.579999923706055, 'close': 4.53000020980835, 'ema_50': 5.062226872192611, 'rsi_14': 39.99999999999999, 'target': 4.489999771118164, 'volume': 38000.0, 'ema_200': 5.853018560542134, 'adj_close': 4.53000020980835, 'rsi_lag_1': 50.68494761319991, 'rsi_lag_2': 38.94736419424041, 'rsi_lag_3': 44.21051522040182, 'rsi_lag_4': 46.80848689356686, 'rsi_lag_5': 35.922328299227885, 'macd_lag_1': -0.13231319653987228, 'macd_lag_2': -0.1332599125279046, 'macd_lag_3': -0.13762082034908119, 'macd_lag_4': -0.14627609563785615, 'macd_lag_5': -0.15825024024513468, 'macd_12_26_9': -0.13484994501553782, 'macds_12_26_9': -0.14952826872493527}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 4.489999771118164, '2022-07-13': 4.53000020980835, '2022-07-14': 4.5, '2022-07-15': 4.480000019073486, '2022-07-18': 4.539999961853027, '2022-07-19': 4.650000095367432, '2022-07-20': 4.699999809265137, '2022-07-21': 4.71999979019165, '2022-07-22': 4.590000152587891, '2022-07-25': 4.590000152587891}, '1_month_later': {'2022-08-11': 4.800000190734863}, '3_months_later': {'2022-10-11': 2.7699999809265137}, '6_months_later': {'2023-01-11': 2.5299999713897705}, '12_months_later': {'2023-07-11': 1.7000000476837158}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADIL
|
{'date': '2022-07-11', 'ticker': 'ADIL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.0, 'high': 32.75, 'open': 32.25, 'close': 31.75, 'ema_50': 34.48645443500866, 'rsi_14': 48.148148148148145, 'target': 37.5, 'volume': 31088.0, 'ema_200': 49.66758701521985, 'adj_close': 31.75, 'rsi_lag_1': 50.0, 'rsi_lag_2': 51.76470588235294, 'rsi_lag_3': 51.19047619047619, 'rsi_lag_4': 48.31460674157304, 'rsi_lag_5': 39.99999999999999, 'macd_lag_1': -0.725008166457588, 'macd_lag_2': -0.8051845730508411, 'macd_lag_3': -0.9212615927672871, 'macd_lag_4': -0.9541997293105737, 'macd_lag_5': -1.1096342275267475, 'macd_12_26_9': -0.6539296921585276, 'macds_12_26_9': -0.9033849047981097}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 37.5, '2022-07-13': 43.75, '2022-07-14': 43.5, '2022-07-15': 40.75, '2022-07-18': 45.0, '2022-07-19': 46.0, '2022-07-20': 24.5, '2022-07-21': 20.75, '2022-07-22': 18.5, '2022-07-25': 17.25}, '1_month_later': {'2022-08-11': 14.25}, '3_months_later': {'2022-10-11': 8.25}, '6_months_later': {'2023-01-11': 8.25}, '12_months_later': {'2023-07-11': 9.75}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AFGC
|
{'date': '2022-07-11', 'ticker': 'AFGC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.780000686645508, 'high': 22.386999130249023, 'open': 22.0939998626709, 'close': 22.299999237060547, 'ema_50': 22.534083277206303, 'rsi_14': 51.57977520133732, 'target': 22.39999961853028, 'volume': 7100.0, 'ema_200': 24.34363381357008, 'adj_close': 20.34505653381348, 'rsi_lag_1': 55.86752664311207, 'rsi_lag_2': 49.981443576431985, 'rsi_lag_3': 39.14432497478793, 'rsi_lag_4': 43.78415456281181, 'rsi_lag_5': 38.68437955397778, 'macd_lag_1': -0.1312671586356231, 'macd_lag_2': -0.13768697701513588, 'macd_lag_3': -0.12290379832510112, 'macd_lag_4': -0.09002912773587113, 'macd_lag_5': -0.07323232963015158, 'macd_12_26_9': -0.11165887858214063, 'macds_12_26_9': -0.09539331949649671}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 22.39999961853028, '2022-07-13': 22.6259994506836, '2022-07-14': 22.31999969482422, '2022-07-15': 22.69700050354004, '2022-07-18': 22.565000534057617, '2022-07-19': 22.6259994506836, '2022-07-20': 22.450000762939453, '2022-07-21': 22.613000869750977, '2022-07-22': 22.652999877929688, '2022-07-25': 23.1200008392334}, '1_month_later': {'2022-08-11': 25.200000762939453}, '3_months_later': {'2022-10-11': 19.989999771118164}, '6_months_later': {'2023-01-11': 22.299999237060547}, '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.
|
AFK
|
{'date': '2022-07-11', 'ticker': 'AFK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.639999389648438, 'high': 16.799999237060547, 'open': 16.690000534057617, 'close': 16.639999389648438, 'ema_50': 18.23393727014703, 'rsi_14': 35.350305510115945, 'target': 16.719999313354492, 'volume': 17600.0, 'ema_200': 19.825413147663504, 'adj_close': 15.703717231750488, 'rsi_lag_1': 43.84060349694859, 'rsi_lag_2': 39.80263942167127, 'rsi_lag_3': 30.15266814352887, 'rsi_lag_4': 28.46713092775181, 'rsi_lag_5': 25.49017652338685, 'macd_lag_1': -0.4805468113503579, 'macd_lag_2': -0.5166243133910555, 'macd_lag_3': -0.5551577896191304, 'macd_lag_4': -0.5514654406880872, 'macd_lag_5': -0.5377131401563098, 'macd_12_26_9': -0.4850953591617184, 'macds_12_26_9': -0.5061177792980127}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 16.719999313354492, '2022-07-13': 16.75, '2022-07-14': 16.389999389648438, '2022-07-15': 16.610000610351562, '2022-07-18': 16.600000381469727, '2022-07-19': 16.8700008392334, '2022-07-20': 16.899999618530273, '2022-07-21': 17.040000915527344, '2022-07-22': 16.940000534057617, '2022-07-25': 17.030000686645508}, '1_month_later': {'2022-08-11': 18.100000381469727}, '3_months_later': {'2022-10-11': 15.0600004196167}, '6_months_later': {'2023-01-11': 16.950000762939453}, '12_months_later': {'2023-07-11': 14.850000381469728}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
aflg
|
{'date': '2022-07-11', 'ticker': 'aflg', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.92200088500977, 'high': 22.99399948120117, 'open': 22.98500061035156, 'close': 22.92200088500977, 'ema_50': 23.774369258026468, 'rsi_14': 65.00173760896959, 'target': 22.792999267578125, 'volume': 7700.0, 'ema_200': 25.111534398808924, 'adj_close': 22.331167221069336, 'rsi_lag_1': 71.80055205103282, 'rsi_lag_2': 55.63562846974227, 'rsi_lag_3': 54.23727756150241, 'rsi_lag_4': 52.03739845823478, 'rsi_lag_5': 41.36278249250082, 'macd_lag_1': -0.2893064510039913, 'macd_lag_2': -0.33526015368908446, 'macd_lag_3': -0.38934275838325405, 'macd_lag_4': -0.41758126396300455, 'macd_lag_5': -0.43736809931386844, 'macd_12_26_9': -0.268911842131363, 'macds_12_26_9': -0.3752754456407589}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 22.792999267578125, '2022-07-13': 22.70599937438965, '2022-07-14': 22.575000762939453, '2022-07-15': 22.91399955749512, '2022-07-18': 22.76799964904785, '2022-07-19': 23.350000381469727, '2022-07-20': 23.43000030517578, '2022-07-21': 23.551000595092773, '2022-07-22': 23.336000442504883, '2022-07-25': 23.43899917602539}, '1_month_later': {'2022-08-11': 24.76300048828125}, '3_months_later': {'2022-10-11': 21.825000762939453}, '6_months_later': {'2023-01-11': 23.82299995422364}, '12_months_later': {'2023-07-11': 25.52499961853028}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AFMC
|
{'date': '2022-07-11', 'ticker': 'AFMC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.19700050354004, 'high': 21.31999969482422, 'open': 21.26000022888184, 'close': 21.19700050354004, 'ema_50': 22.219428438042286, 'rsi_14': 61.564998422049285, 'target': 21.18000030517578, 'volume': 500.0, 'ema_200': 23.798466837977784, 'adj_close': 20.813831329345703, 'rsi_lag_1': 67.3483757126113, 'rsi_lag_2': 49.314710393010394, 'rsi_lag_3': 45.86611557514317, 'rsi_lag_4': 46.10353399257123, 'rsi_lag_5': 36.758655468173984, 'macd_lag_1': -0.3864188150292698, 'macd_lag_2': -0.42934709244398306, 'macd_lag_3': -0.4819667623777697, 'macd_lag_4': -0.49915100136954393, 'macd_lag_5': -0.5221729322156712, 'macd_12_26_9': -0.3621825126083351, 'macds_12_26_9': -0.45754767279857844}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 21.18000030517578, '2022-07-13': 21.170000076293945, '2022-07-14': 20.950000762939453, '2022-07-15': 21.299999237060547, '2022-07-18': 21.309999465942383, '2022-07-19': 21.940000534057617, '2022-07-20': 22.09000015258789, '2022-07-21': 22.200000762939453, '2022-07-22': 22.020000457763672, '2022-07-25': 22.18000030517578}, '1_month_later': {'2022-08-11': 23.36100006103516}, '3_months_later': {'2022-10-11': 20.825000762939453}, '6_months_later': {'2023-01-11': 23.11899948120117}, '12_months_later': {'2023-07-11': 25.1879997253418}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AFMD
|
{'date': '2022-07-11', 'ticker': 'AFMD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.869999885559082, 'high': 3.109999895095825, 'open': 3.109999895095825, 'close': 2.880000114440918, 'ema_50': 3.1247642259991446, 'rsi_14': 61.76471000724233, 'target': 2.970000028610229, 'volume': 577800.0, 'ema_200': 4.398652149808741, 'adj_close': 2.880000114440918, 'rsi_lag_1': 74.23312596281608, 'rsi_lag_2': 77.07006940106972, 'rsi_lag_3': 75.83892950361565, 'rsi_lag_4': 70.32258808799031, 'rsi_lag_5': 56.603776131206416, 'macd_lag_1': 0.004175316314184219, 'macd_lag_2': -0.014594571577245308, 'macd_lag_3': -0.04953950285719344, 'macd_lag_4': -0.0750940883067619, 'macd_lag_5': -0.10254603088016845, 'macd_12_26_9': 0.0004859261334111409, 'macds_12_26_9': -0.06644240183202066}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.970000028610229, '2022-07-13': 3.059999942779541, '2022-07-14': 2.970000028610229, '2022-07-15': 2.9100000858306885, '2022-07-18': 2.859999895095825, '2022-07-19': 2.970000028610229, '2022-07-20': 3.0899999141693115, '2022-07-21': 3.0999999046325684, '2022-07-22': 2.9600000381469727, '2022-07-25': 2.990000009536743}, '1_month_later': {'2022-08-11': 3.009999990463257}, '3_months_later': {'2022-10-11': 1.559999942779541}, '6_months_later': {'2023-01-11': 1.0700000524520874}, '12_months_later': {'2023-07-11': 0.6340000033378601}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AFT
|
{'date': '2022-07-11', 'ticker': 'AFT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.6899995803833, 'high': 12.84000015258789, 'open': 12.6899995803833, 'close': 12.779999732971191, 'ema_50': 13.337800322766762, 'rsi_14': 44.94381902073857, 'target': 12.81999969482422, 'volume': 52000.0, 'ema_200': 14.562343701501494, 'adj_close': 10.880433082580566, 'rsi_lag_1': 54.20560830961046, 'rsi_lag_2': 37.908513435262094, 'rsi_lag_3': 33.33333333333326, 'rsi_lag_4': 38.88891178227987, 'rsi_lag_5': 33.870996686240815, 'macd_lag_1': -0.16828955510253785, 'macd_lag_2': -0.17232225616468533, 'macd_lag_3': -0.179035667001191, 'macd_lag_4': -0.17889113167879778, 'macd_lag_5': -0.1811955277358912, 'macd_12_26_9': -0.16241453881105272, 'macds_12_26_9': -0.17757975947644425}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 12.81999969482422, '2022-07-13': 12.859999656677246, '2022-07-14': 12.789999961853027, '2022-07-15': 12.800000190734863, '2022-07-18': 12.710000038146973, '2022-07-19': 12.84000015258789, '2022-07-20': 12.800000190734863, '2022-07-21': 12.960000038146973, '2022-07-22': 12.989999771118164, '2022-07-25': 12.979999542236328}, '1_month_later': {'2022-08-11': 13.68000030517578}, '3_months_later': {'2022-10-11': 12.449999809265137}, '6_months_later': {'2023-01-11': 12.710000038146973}, '12_months_later': {'2023-07-11': 12.989999771118164}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AFTY
|
{'date': '2022-07-11', 'ticker': 'AFTY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.229999542236328, 'high': 18.34000015258789, 'open': 18.229999542236328, 'close': 18.302000045776367, 'ema_50': 18.011519035419752, 'rsi_14': 53.05415394002428, 'target': 18.170000076293945, 'volume': 2100.0, 'ema_200': 19.06482880827489, 'adj_close': 17.5197811126709, 'rsi_lag_1': 68.03632756739945, 'rsi_lag_2': 62.05835130320636, 'rsi_lag_3': 66.28445120204944, 'rsi_lag_4': 75.95138198909636, 'rsi_lag_5': 66.8408195515155, 'macd_lag_1': 0.41993987631243, 'macd_lag_2': 0.43729039159818583, 'macd_lag_3': 0.44533716729804596, 'macd_lag_4': 0.4753991795384387, 'macd_lag_5': 0.4718289010782115, 'macd_12_26_9': 0.35832407550936196, 'macds_12_26_9': 0.39928110370133585}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 18.170000076293945, '2022-07-13': 18.242000579833984, '2022-07-14': 18.089000701904297, '2022-07-15': 17.864999771118164, '2022-07-18': 18.020999908447266, '2022-07-19': 18.049999237060547, '2022-07-20': 17.900999069213867, '2022-07-21': 17.690000534057617, '2022-07-22': 17.780000686645508, '2022-07-25': 17.84000015258789}, '1_month_later': {'2022-08-11': 17.43000030517578}, '3_months_later': {'2022-10-11': 15.156000137329102}, '6_months_later': {'2023-01-11': 16.985000610351562}, '12_months_later': {'2023-07-11': 14.972000122070312}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AFYA
|
{'date': '2022-07-11', 'ticker': 'AFYA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.020000457763672, 'high': 9.40999984741211, 'open': 9.40999984741211, 'close': 9.020000457763672, 'ema_50': 11.170938873561015, 'rsi_14': 38.888898700353735, 'target': 9.020000457763672, 'volume': 134800.0, 'ema_200': 14.380920811234649, 'adj_close': 9.020000457763672, 'rsi_lag_1': 43.29896501785926, 'rsi_lag_2': 35.327644074736526, 'rsi_lag_3': 33.43110587569352, 'rsi_lag_4': 35.18519663188404, 'rsi_lag_5': 31.062688850799645, 'macd_lag_1': -0.5545080443215742, 'macd_lag_2': -0.5733898748667077, 'macd_lag_3': -0.5871134272571563, 'macd_lag_4': -0.5584171232003001, 'macd_lag_5': -0.5523585969628702, 'macd_12_26_9': -0.5844494897146166, 'macds_12_26_9': -0.5715628832556975}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 9.020000457763672, '2022-07-13': 9.210000038146973, '2022-07-14': 9.220000267028809, '2022-07-15': 9.550000190734863, '2022-07-18': 9.609999656677246, '2022-07-19': 9.630000114440918, '2022-07-20': 9.800000190734863, '2022-07-21': 10.029999732971191, '2022-07-22': 9.609999656677246, '2022-07-25': 9.640000343322754}, '1_month_later': {'2022-08-11': 11.960000038146973}, '3_months_later': {'2022-10-11': 14.300000190734863}, '6_months_later': {'2023-01-11': 15.130000114440918}, '12_months_later': {'2023-07-11': 15.5600004196167}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AGBA
|
{'date': '2022-07-11', 'ticker': 'AGBA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.359999656677246, 'high': 11.359999656677246, 'open': 11.359999656677246, 'close': 11.359999656677246, 'ema_50': 11.317377515419775, 'rsi_14': 66.6656070191015, 'target': 11.359999656677246, 'volume': 0.0, 'ema_200': 11.127795988063411, 'adj_close': 11.359999656677246, 'rsi_lag_1': 66.6656070191015, 'rsi_lag_2': 66.6656070191015, 'rsi_lag_3': 66.6656070191015, 'rsi_lag_4': 66.6656070191015, 'rsi_lag_5': 66.6656070191015, 'macd_lag_1': 0.013041281230670165, 'macd_lag_2': 0.013718567823618244, 'macd_lag_3': 0.01438348899754871, 'macd_lag_4': 0.015022955819576467, 'macd_lag_5': 0.015620632296867498, 'macd_12_26_9': 0.012362024997099041, 'macds_12_26_9': 0.014368431953603286}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.359999656677246, '2022-07-13': 11.359999656677246, '2022-07-22': 11.359999656677246, '2022-07-25': 11.359999656677246}, '1_month_later': {'2022-08-11': 11.369999885559082}, '3_months_later': {'2022-10-11': 11.460000038146973}, '6_months_later': {'2023-01-11': 3.3499999046325684}, '12_months_later': {'2023-07-11': 1.3700000047683716}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AGCO
|
{'date': '2022-07-11', 'ticker': 'AGCO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/agco-corp.-shares-near-52-week-low-market-mover', 'news_author': None, 'news_article': "AGCO Corp. (AGCO) shares closed today at 1.7% above its 52 week low of $91.79, giving the company a market cap of $6B. The stock is currently down 19.3% year-to-date, down 28.5% over the past 12 months, and up 44.7% over the past five years. This week, the Dow Jones Industrial Average rose 0.3%, and the S&P 500 rose 0.8%.\nTrading Activity\nTrading volume this week was 45.6% higher than the 20-day average.\nBeta, a measure of the stock’s volatility relative to the overall market stands at 0.0.\nTechnical Indicators\nThe Relative Strength Index (RSI) on the stock was under 30, indicating it may be underbought.\nMACD, a trend-following momentum indicator, indicates a downward trend.\nThe stock closed below its Bollinger band, indicating it may be oversold.\nMarket Comparative Performance\nThe company's share price is the same as the S&P 500 Index , lags it on a 1-year basis, and lags it on a 5-year basis\nThe company's share price is the same as the Dow Jones Industrial Average , lags it on a 1-year basis, and lags it on a 5-year basis\nThe company share price is the same as the performance of its peers in the Industrials industry sector , lags it on a 1-year basis, and beats it on a 5 year basis\nPer Group Comparative Performance\nThe company's stock price performance year-to-date lags the peer average by 4.1%\nThe company's stock price performance over the past 12 months lags the peer average by 25.6%\nThe company's price-to-earnings ratio, which relates a company's share price to its earnings per share, is -42.8% lower than the average peer.\n\n\nThis story was produced by the Kwhen Automated News Generator. For more articles like this, please visit us at finance.kwhen.com. Write to [email protected]. © 2020 Kwhen Inc.\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': "AGCO Corp. (AGCO) shares closed today at 1.7% above its 52 week low of $91.79, giving the company a market cap of $6B. Beta, a measure of the stock’s volatility relative to the overall market stands at 0.0. Market Comparative Performance The company's share price is the same as the S&P 500 Index , lags it on a 1-year basis, and lags it on a 5-year basis The company's share price is the same as the Dow Jones Industrial Average , lags it on a 1-year basis, and lags it on a 5-year basis The company share price is the same as the performance of its peers in the Industrials industry sector , lags it on a 1-year basis, and beats it on a 5 year basis Per Group Comparative Performance The company's stock price performance year-to-date lags the peer average by 4.1% The company's stock price performance over the past 12 months lags the peer average by 25.6% The company's price-to-earnings ratio, which relates a company's share price to its earnings per share, is -42.8% lower than the average peer.", 'news_luhn_summary': "AGCO Corp. (AGCO) shares closed today at 1.7% above its 52 week low of $91.79, giving the company a market cap of $6B. This week, the Dow Jones Industrial Average rose 0.3%, and the S&P 500 rose 0.8%. Market Comparative Performance The company's share price is the same as the S&P 500 Index , lags it on a 1-year basis, and lags it on a 5-year basis The company's share price is the same as the Dow Jones Industrial Average , lags it on a 1-year basis, and lags it on a 5-year basis The company share price is the same as the performance of its peers in the Industrials industry sector , lags it on a 1-year basis, and beats it on a 5 year basis Per Group Comparative Performance The company's stock price performance year-to-date lags the peer average by 4.1% The company's stock price performance over the past 12 months lags the peer average by 25.6% The company's price-to-earnings ratio, which relates a company's share price to its earnings per share, is -42.8% lower than the average peer.", 'news_article_title': 'AGCO Corp. Shares Near 52-Week Low - Market Mover', 'news_lexrank_summary': 'AGCO Corp. (AGCO) shares closed today at 1.7% above its 52 week low of $91.79, giving the company a market cap of $6B. This week, the Dow Jones Industrial Average rose 0.3%, and the S&P 500 rose 0.8%. Technical Indicators The Relative Strength Index (RSI) on the stock was under 30, indicating it may be underbought.', 'news_textrank_summary': "AGCO Corp. (AGCO) shares closed today at 1.7% above its 52 week low of $91.79, giving the company a market cap of $6B. Market Comparative Performance The company's share price is the same as the S&P 500 Index , lags it on a 1-year basis, and lags it on a 5-year basis The company's share price is the same as the Dow Jones Industrial Average , lags it on a 1-year basis, and lags it on a 5-year basis The company share price is the same as the performance of its peers in the Industrials industry sector , lags it on a 1-year basis, and beats it on a 5 year basis Per Group Comparative Performance The company's stock price performance year-to-date lags the peer average by 4.1% The company's stock price performance over the past 12 months lags the peer average by 25.6% The company's price-to-earnings ratio, which relates a company's share price to its earnings per share, is -42.8% lower than the average peer. This story was produced by the Kwhen Automated News Generator."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 93.05999755859376, 'high': 95.87000274658205, 'open': 95.19000244140624, 'close': 94.16999816894533, 'ema_50': 113.77236013402, 'rsi_14': 33.365866784171644, 'target': 93.31999969482422, 'volume': 879100.0, 'ema_200': 122.21222779806358, 'adj_close': 89.14930725097656, 'rsi_lag_1': 36.366020831326274, 'rsi_lag_2': 32.52280790131633, 'rsi_lag_3': 30.59163930263182, 'rsi_lag_4': 32.38259515635849, 'rsi_lag_5': 30.227228791442514, 'macd_lag_1': -6.593492960833501, 'macd_lag_2': -6.7258348817988605, 'macd_lag_3': -6.976121189239237, 'macd_lag_4': -6.816360538935001, 'macd_lag_5': -6.651773581397961, 'macd_12_26_9': -6.6523878152076605, 'macds_12_26_9': -6.445645111410611}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 93.31999969482422, '2022-07-13': 91.77999877929688, '2022-07-14': 90.25, '2022-07-15': 91.9499969482422, '2022-07-18': 91.95999908447266, '2022-07-19': 97.56999969482422, '2022-07-20': 99.1999969482422, '2022-07-21': 98.7699966430664, '2022-07-22': 97.94000244140624, '2022-07-25': 100.54000091552734}, '1_month_later': {'2022-08-11': 112.26000213623048}, '3_months_later': {'2022-10-11': 107.93000030517578}, '6_months_later': {'2023-01-11': 138.99000549316406}, '12_months_later': {'2023-07-11': 134.6199951171875}}
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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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AGD
|
{'date': '2022-07-11', 'ticker': 'AGD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.350000381469728, 'high': 9.520000457763672, 'open': 9.43000030517578, 'close': 9.40999984741211, 'ema_50': 9.750697243973002, 'rsi_14': 62.06898536188335, 'target': 9.399999618530272, 'volume': 57700.0, 'ema_200': 10.721432984777087, 'adj_close': 8.294756889343262, 'rsi_lag_1': 71.4286401207884, 'rsi_lag_2': 55.333341810459856, 'rsi_lag_3': 54.72972276349838, 'rsi_lag_4': 51.61291314959991, 'rsi_lag_5': 45.45454052853179, 'macd_lag_1': -0.08977940579944033, 'macd_lag_2': -0.105760200223731, 'macd_lag_3': -0.12258276467699147, 'macd_lag_4': -0.12903507689532034, 'macd_lag_5': -0.13437559171438096, 'macd_12_26_9': -0.08421295164353282, 'macds_12_26_9': -0.12525878383487846}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 9.399999618530272, '2022-07-13': 9.380000114440918, '2022-07-14': 9.279999732971191, '2022-07-15': 9.380000114440918, '2022-07-18': 9.369999885559082, '2022-07-19': 9.609999656677246, '2022-07-20': 9.59000015258789, '2022-07-21': 9.619999885559082, '2022-07-22': 9.5600004196167, '2022-07-25': 9.56999969482422}, '1_month_later': {'2022-08-11': 10.1899995803833}, '3_months_later': {'2022-10-11': 8.460000038146973}, '6_months_later': {'2023-01-11': 9.970000267028809}, '12_months_later': {'2023-07-11': 9.470000267028809}}
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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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AGNCO
|
{'date': '2022-07-11', 'ticker': 'AGNCO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.0, 'high': 21.18000030517578, 'open': 21.0, 'close': 21.15999984741211, 'ema_50': 22.232483741691716, 'rsi_14': 51.76990963725787, 'target': 21.15999984741211, 'volume': 15600.0, 'ema_200': 23.800505540202167, 'adj_close': 18.925125122070312, 'rsi_lag_1': 55.1440322757885, 'rsi_lag_2': 37.640459371056984, 'rsi_lag_3': 40.48255439654377, 'rsi_lag_4': 38.52038333832878, 'rsi_lag_5': 34.953698184749854, 'macd_lag_1': -0.3841333384856611, 'macd_lag_2': -0.38926332458148494, 'macd_lag_3': -0.398294487072679, 'macd_lag_4': -0.4009735447455647, 'macd_lag_5': -0.42197878927945354, 'macd_12_26_9': -0.37095024852360936, 'macds_12_26_9': -0.3978217351331233}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 21.15999984741211, '2022-07-13': 21.15999984741211, '2022-07-14': 21.170000076293945, '2022-07-15': 21.25, '2022-07-18': 21.299999237060547, '2022-07-19': 21.39999961853028, '2022-07-20': 21.56999969482422, '2022-07-21': 21.540000915527344, '2022-07-22': 21.690000534057617, '2022-07-25': 21.84000015258789}, '1_month_later': {'2022-08-11': 22.46999931335449}, '3_months_later': {'2022-10-11': 19.63999938964844}, '6_months_later': {'2023-01-11': 21.1299991607666}, '12_months_later': {'2023-07-11': 23.170000076293945}}
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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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AGNCN
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{'date': '2022-07-11', 'ticker': 'AGNCN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.46999931335449, 'high': 22.6200008392334, 'open': 22.5, 'close': 22.520000457763672, 'ema_50': 23.395244473482624, 'rsi_14': 58.97437402248319, 'target': 22.600000381469727, 'volume': 22000.0, 'ema_200': 24.45107925222939, 'adj_close': 19.450448989868164, 'rsi_lag_1': 55.665016762128076, 'rsi_lag_2': 36.68830806920466, 'rsi_lag_3': 37.21683726850247, 'rsi_lag_4': 37.15670027997056, 'rsi_lag_5': 31.94443046310957, 'macd_lag_1': -0.3345975006695774, 'macd_lag_2': -0.3389552716194508, 'macd_lag_3': -0.3395871134991886, 'macd_lag_4': -0.3364723296973118, 'macd_lag_5': -0.35102072514956006, 'macd_12_26_9': -0.3257747376175075, 'macds_12_26_9': -0.32999362194902404}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 22.600000381469727, '2022-07-13': 22.8700008392334, '2022-07-14': 22.799999237060547, '2022-07-15': 23.059999465942383, '2022-07-18': 23.0, '2022-07-19': 23.0, '2022-07-20': 23.549999237060547, '2022-07-21': 23.700000762939453, '2022-07-22': 23.530000686645508, '2022-07-25': 23.7549991607666}, '1_month_later': {'2022-08-11': 24.299999237060547}, '3_months_later': {'2022-10-11': 22.89999961853028}, '6_months_later': {'2023-01-11': 25.020000457763672}, '12_months_later': {'2023-07-11': 25.489999771118164}}
|
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.
|
AGNCM
|
{'date': '2022-07-11', 'ticker': 'AGNCM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 20.100000381469727, 'open': 20.049999237060547, 'close': 20.030000686645508, 'ema_50': 21.807657211913288, 'rsi_14': 47.115388142291344, 'target': 20.1299991607666, 'volume': 27200.0, 'ema_200': 23.74367904621221, 'adj_close': 17.783323287963867, 'rsi_lag_1': 49.6197627632941, 'rsi_lag_2': 31.598045174173933, 'rsi_lag_3': 26.73756241176777, 'rsi_lag_4': 25.697915275098936, 'rsi_lag_5': 21.336920137682768, 'macd_lag_1': -0.6680728669085525, 'macd_lag_2': -0.686636738854979, 'macd_lag_3': -0.7064525830155688, 'macd_lag_4': -0.692960165371904, 'macd_lag_5': -0.6992595057695645, 'macd_12_26_9': -0.6499036999136614, 'macds_12_26_9': -0.6534248272305667}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 20.1299991607666, '2022-07-13': 20.489999771118164, '2022-07-14': 20.200000762939453, '2022-07-15': 20.309999465942383, '2022-07-18': 20.51000022888184, '2022-07-19': 20.670000076293945, '2022-07-20': 20.82999992370605, '2022-07-21': 20.989999771118164, '2022-07-22': 21.030000686645508, '2022-07-25': 21.11000061035156}, '1_month_later': {'2022-08-11': 21.850000381469727}, '3_months_later': {'2022-10-11': 18.690000534057617}, '6_months_later': {'2023-01-11': 21.11000061035156}, '12_months_later': {'2023-07-11': 22.566999435424805}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON 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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AGNC
|
{'date': '2022-07-11', 'ticker': 'AGNC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/agnc-investment-agnc-stock-moves-0.7%3A-what-you-should-know', 'news_author': None, 'news_article': 'In the latest trading session, AGNC Investment (AGNC) closed at $11.34, marking a -0.7% move from the previous day. This change was narrower than the S&P 500\'s daily loss of 1.15%. At the same time, the Dow lost 0.52%, and the tech-heavy Nasdaq lost 0.34%.\nHeading into today, shares of the real estate investment trust had lost 4.44% over the past month, outpacing the Finance sector\'s loss of 7.08% and the S&P 500\'s loss of 5.08% in that time.\nAGNC Investment will be looking to display strength as it nears its next earnings release, which is expected to be July 25, 2022. The company is expected to report EPS of $0.60, down 21.05% from the prior-year quarter. Our most recent consensus estimate is calling for quarterly revenue of $198 million, down 55.61% from the year-ago period.\nLooking at the full year, our Zacks Consensus Estimates suggest analysts are expecting earnings of $2.34 per share and revenue of $1 billion. These totals would mark changes of -22.52% and -43.9%, respectively, from last year.\nIt is also important to note the recent changes to analyst estimates for AGNC Investment. These revisions typically reflect the latest short-term business trends, which can change frequently. As a result, we can interpret positive estimate revisions as a good sign for the company\'s business outlook.\nOur research shows that these estimate changes are directly correlated with near-term stock prices. Investors can capitalize on this by using the Zacks Rank. This model considers these estimate changes and provides a simple, actionable rating system.\nThe Zacks Rank system, which ranges from #1 (Strong Buy) to #5 (Strong Sell), has an impressive outside-audited track record of outperformance, with #1 stocks generating an average annual return of +25% since 1988. Over the past month, the Zacks Consensus EPS estimate remained stagnant. AGNC Investment is holding a Zacks Rank of #3 (Hold) right now.\nInvestors should also note AGNC Investment\'s current valuation metrics, including its Forward P/E ratio of 4.89. Its industry sports an average Forward P/E of 8.23, so we one might conclude that AGNC Investment is trading at a discount comparatively.\nThe REIT and Equity Trust industry is part of the Finance sector. This industry currently has a Zacks Industry Rank of 158, which puts it in the bottom 38% of all 250+ industries.\nThe Zacks Industry Rank includes is listed in order from best to worst in terms of the average Zacks Rank of the individual companies within each of these sectors. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nMake sure to utilize Zacks.com to follow all of these stock-moving metrics, and more, in the coming trading sessions.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nAGNC Investment Corp. (AGNC): 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': 'Its industry sports an average Forward P/E of 8.23, so we one might conclude that AGNC Investment is trading at a discount comparatively. In the latest trading session, AGNC Investment (AGNC) closed at $11.34, marking a -0.7% move from the previous day. AGNC Investment will be looking to display strength as it nears its next earnings release, which is expected to be July 25, 2022.', 'news_luhn_summary': 'In the latest trading session, AGNC Investment (AGNC) closed at $11.34, marking a -0.7% move from the previous day. AGNC Investment will be looking to display strength as it nears its next earnings release, which is expected to be July 25, 2022. It is also important to note the recent changes to analyst estimates for AGNC Investment.', 'news_article_title': 'AGNC Investment (AGNC) Stock Moves -0.7%: What You Should Know', 'news_lexrank_summary': 'In the latest trading session, AGNC Investment (AGNC) closed at $11.34, marking a -0.7% move from the previous day. AGNC Investment will be looking to display strength as it nears its next earnings release, which is expected to be July 25, 2022. It is also important to note the recent changes to analyst estimates for AGNC Investment.', 'news_textrank_summary': 'AGNC Investment Corp. (AGNC): Free Stock Analysis Report In the latest trading session, AGNC Investment (AGNC) closed at $11.34, marking a -0.7% move from the previous day. AGNC Investment will be looking to display strength as it nears its next earnings release, which is expected to be July 25, 2022.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.300000190734863, 'high': 11.449999809265137, 'open': 11.369999885559082, 'close': 11.34000015258789, 'ema_50': 11.691866069540085, 'rsi_14': 66.66666666666666, 'target': 11.420000076293944, 'volume': 5638100.0, 'ema_200': 13.413551079705076, 'adj_close': 9.081830024719238, 'rsi_lag_1': 72.49190688808771, 'rsi_lag_2': 61.202176252478665, 'rsi_lag_3': 58.44874504703779, 'rsi_lag_4': 58.126706202531416, 'rsi_lag_5': 44.69525808723125, 'macd_lag_1': -0.07730276972769268, 'macd_lag_2': -0.09007008768120883, 'macd_lag_3': -0.11218295933952227, 'macd_lag_4': -0.12553889719539413, 'macd_lag_5': -0.16621445573586335, 'macd_12_26_9': -0.07280070234205915, 'macds_12_26_9': -0.1354938878542723}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.420000076293944, '2022-07-13': 11.600000381469728, '2022-07-14': 11.43000030517578, '2022-07-15': 11.6899995803833, '2022-07-18': 11.609999656677246, '2022-07-19': 12.0, '2022-07-20': 12.119999885559082, '2022-07-21': 12.220000267028809, '2022-07-22': 12.149999618530272, '2022-07-25': 12.270000457763672}, '1_month_later': {'2022-08-11': 12.68000030517578}, '3_months_later': {'2022-10-11': 8.170000076293945}, '6_months_later': {'2023-01-11': 11.140000343322754}, '12_months_later': {'2023-07-11': 9.949999809265137}}
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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.
|
AGM-A
|
{'date': '2022-07-11', 'ticker': 'AGM-A', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 95.4000015258789, 'high': 95.4000015258789, 'open': 95.4000015258789, 'close': 95.4000015258789, 'ema_50': 98.84452933283272, 'rsi_14': 31.872535391074976, 'target': 95.51000213623048, 'volume': 0.0, 'ema_200': 103.8629572875303, 'adj_close': 90.480224609375, 'rsi_lag_1': 31.872535391074976, 'rsi_lag_2': 31.872535391074976, 'rsi_lag_3': 31.872535391074976, 'rsi_lag_4': 31.872535391074976, 'rsi_lag_5': 31.872535391074976, 'macd_lag_1': -1.2010983395579302, 'macd_lag_2': -1.314494357594569, 'macd_lag_3': -1.4401089935963256, 'macd_lag_4': -1.5794919072771734, 'macd_lag_5': -1.7344207620876233, 'macd_12_26_9': -1.0985675751183095, 'macds_12_26_9': -1.3574403876930172}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 95.51000213623048, '2022-07-13': 95.51000213623048, '2022-07-14': 95.51000213623048, '2022-07-15': 95.0, '2022-07-18': 94.43000030517578, '2022-07-19': 95.56999969482422, '2022-07-20': 96.12000274658205, '2022-07-21': 94.54000091552734, '2022-07-22': 94.54000091552734, '2022-07-25': 94.54000091552734}, '1_month_later': {'2022-08-11': 110.37000274658205}, '3_months_later': {'2022-10-11': 95.70999908447266}, '6_months_later': {'2023-01-11': 105.0}, '12_months_later': {'2023-07-11': 122.0}}
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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.
|
AFG
|
{'date': '2022-07-11', 'ticker': 'AFG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 137.00999450683594, 'high': 139.82000732421875, 'open': 137.02000427246094, 'close': 137.92999267578125, 'ema_50': 138.37488419127163, 'rsi_14': 62.344282379874976, 'target': 137.9499969482422, 'volume': 156900.0, 'ema_200': 135.81958799517923, 'adj_close': 126.31024169921876, 'rsi_lag_1': 64.62065921021684, 'rsi_lag_2': 57.590652291347794, 'rsi_lag_3': 60.91675919632869, 'rsi_lag_4': 61.35955015286068, 'rsi_lag_5': 61.068250198658404, 'macd_lag_1': 0.19391334062575538, 'macd_lag_2': 0.1913065020112299, 'macd_lag_3': 0.13835954073837797, 'macd_lag_4': -0.016759437554981105, 'macd_lag_5': -0.13508582959295268, 'macd_12_26_9': 0.19215011449355757, 'macds_12_26_9': -0.2664657670940877}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 137.9499969482422, '2022-07-13': 137.1199951171875, '2022-07-14': 132.39999389648438, '2022-07-15': 132.94000244140625, '2022-07-18': 130.35000610351562, '2022-07-19': 134.17999267578125, '2022-07-20': 132.85000610351562, '2022-07-21': 134.07000732421875, '2022-07-22': 131.91000366210938, '2022-07-25': 133.25}, '1_month_later': {'2022-08-11': 132.7899932861328}, '3_months_later': {'2022-10-11': 126.77999877929688}, '6_months_later': {'2023-01-11': 140.83999633789062}, '12_months_later': {'2023-07-11': 117.70999908447266}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AGM
|
{'date': '2022-07-11', 'ticker': 'AGM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 97.0, 'high': 98.1500015258789, 'open': 97.62000274658205, 'close': 97.1500015258789, 'ema_50': 100.84928562886516, 'rsi_14': 64.17071172064382, 'target': 96.77999877929688, 'volume': 21200.0, 'ema_200': 107.93413359055305, 'adj_close': 92.79844665527344, 'rsi_lag_1': 75.83564712245393, 'rsi_lag_2': 62.07882021950526, 'rsi_lag_3': 64.79320328298718, 'rsi_lag_4': 65.38256806657381, 'rsi_lag_5': 58.750003667980316, 'macd_lag_1': -0.7761227648793465, 'macd_lag_2': -0.8979891467058678, 'macd_lag_3': -1.038437282809241, 'macd_lag_4': -1.1099407159073564, 'macd_lag_5': -1.2380063951172673, 'macd_12_26_9': -0.7499749993787361, 'macds_12_26_9': -1.1906307734998582}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 96.77999877929688, '2022-07-13': 95.5999984741211, '2022-07-14': 93.37000274658205, '2022-07-15': 96.51000213623048, '2022-07-18': 97.75, '2022-07-19': 100.87999725341795, '2022-07-20': 102.08999633789062, '2022-07-21': 101.5, '2022-07-22': 100.61000061035156, '2022-07-25': 103.4000015258789}, '1_month_later': {'2022-08-11': 113.37999725341795}, '3_months_later': {'2022-10-11': 101.61000061035156}, '6_months_later': {'2023-01-11': 123.3499984741211}, '12_months_later': {'2023-07-11': 143.02999877929688}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AGIO
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{'date': '2022-07-11', 'ticker': 'AGIO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.40999984741211, 'high': 25.65999984741211, 'open': 25.65999984741211, 'close': 23.489999771118164, 'ema_50': 22.44409946133417, 'rsi_14': 71.69811292462491, 'target': 24.059999465942383, 'volume': 718500.0, 'ema_200': 30.298069203783747, 'adj_close': 23.489999771118164, 'rsi_lag_1': 90.12681103083193, 'rsi_lag_2': 81.42389336330149, 'rsi_lag_3': 82.30709170852029, 'rsi_lag_4': 80.98158809264737, 'rsi_lag_5': 70.11589351691033, 'macd_lag_1': 1.3776140457995858, 'macd_lag_2': 1.2307417065058814, 'macd_lag_3': 1.0243592907720434, 'macd_lag_4': 0.8132404931061323, 'macd_lag_5': 0.5217653271631804, 'macd_12_26_9': 1.2767577230471012, 'macds_12_26_9': 0.7614693933084595}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 24.059999465942383, '2022-07-13': 22.65999984741211, '2022-07-14': 22.709999084472656, '2022-07-15': 22.309999465942383, '2022-07-18': 20.979999542236328, '2022-07-19': 21.6200008392334, '2022-07-20': 21.89999961853028, '2022-07-21': 21.799999237060547, '2022-07-22': 20.489999771118164, '2022-07-25': 20.0}, '1_month_later': {'2022-08-11': 25.989999771118164}, '3_months_later': {'2022-10-11': 27.440000534057617}, '6_months_later': {'2023-01-11': 28.989999771118164}, '12_months_later': {'2023-07-11': 26.850000381469727}}
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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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AGI
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{'date': '2022-07-11', 'ticker': 'AGI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.110000133514404, 'high': 7.400000095367432, 'open': 7.110000133514404, 'close': 7.179999828338623, 'ema_50': 7.4717955983036966, 'rsi_14': 50.943391133812966, 'target': 7.110000133514404, 'volume': 2916600.0, 'ema_200': 7.701939205364587, 'adj_close': 7.079893589019775, 'rsi_lag_1': 47.7031773541695, 'rsi_lag_2': 48.78892391012557, 'rsi_lag_3': 48.25174941766662, 'rsi_lag_4': 44.95113971099312, 'rsi_lag_5': 40.70796124086836, 'macd_lag_1': -0.11931578776178142, 'macd_lag_2': -0.13019278707929693, 'macd_lag_3': -0.13912756194816023, 'macd_lag_4': -0.1362897398955205, 'macd_lag_5': -0.1306852508043974, 'macd_12_26_9': -0.11262507827038615, 'macds_12_26_9': -0.1280080930314926}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 7.110000133514404, '2022-07-13': 7.400000095367432, '2022-07-14': 7.150000095367432, '2022-07-15': 7.059999942779541, '2022-07-18': 7.300000190734863, '2022-07-19': 7.429999828338623, '2022-07-20': 7.170000076293945, '2022-07-21': 7.289999961853027, '2022-07-22': 7.210000038146973, '2022-07-25': 6.980000019073486}, '1_month_later': {'2022-08-11': 7.900000095367432}, '3_months_later': {'2022-10-11': 7.5}, '6_months_later': {'2023-01-11': 10.880000114440918}, '12_months_later': {'2023-07-11': 11.93000030517578}}
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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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AGGY
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{'date': '2022-07-11', 'ticker': 'AGGY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.72999954223633, 'high': 45.02000045776367, 'open': 44.970001220703125, 'close': 44.88999938964844, 'ema_50': 45.25737312667487, 'rsi_14': 62.681145899416755, 'target': 44.880001068115234, 'volume': 136100.0, 'ema_200': 48.09403373545589, 'adj_close': 42.50143051147461, 'rsi_lag_1': 59.21561059675168, 'rsi_lag_2': 66.27903710154612, 'rsi_lag_3': 73.51914986941011, 'rsi_lag_4': 70.80534721982194, 'rsi_lag_5': 53.7634154995293, 'macd_lag_1': -0.09197029812352753, 'macd_lag_2': -0.09333724886612771, 'macd_lag_3': -0.11103363525585763, 'macd_lag_4': -0.1432056867890239, 'macd_lag_5': -0.20764047711988098, 'macd_12_26_9': -0.07230127582610635, 'macds_12_26_9': -0.16752021633617695}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 44.880001068115234, '2022-07-13': 45.09000015258789, '2022-07-14': 44.88999938964844, '2022-07-15': 45.06999969482422, '2022-07-18': 44.98899841308594, '2022-07-19': 44.970001220703125, '2022-07-20': 44.880001068115234, '2022-07-21': 45.290000915527344, '2022-07-22': 45.66999816894531, '2022-07-25': 45.43999862670898}, '1_month_later': {'2022-08-11': 45.4900016784668}, '3_months_later': {'2022-10-11': 41.810001373291016}, '6_months_later': {'2023-01-11': 43.84000015258789}, '12_months_later': {'2023-07-11': 42.79999923706055}}
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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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AGEN
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{'date': '2022-07-11', 'ticker': 'AGEN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.522079944610596, 'high': 2.679096937179565, 'open': 2.6594700813293457, 'close': 2.522079944610596, 'ema_50': 1.920545056347986, 'rsi_14': 78.4090702032595, 'target': 2.669284105300904, 'volume': 5362793.0, 'ema_200': 2.702260839316957, 'adj_close': 2.522079944610596, 'rsi_lag_1': 86.59217918798319, 'rsi_lag_2': 85.45455174577228, 'rsi_lag_3': 85.09316512438326, 'rsi_lag_4': 83.3333608275252, 'rsi_lag_5': 69.23078576278871, 'macd_lag_1': 0.21697680931725083, 'macd_lag_2': 0.18106823043988607, 'macd_lag_3': 0.1475900450326606, 'macd_lag_4': 0.11570251011940447, 'macd_lag_5': 0.07531786955393516, 'macd_12_26_9': 0.23167774414882114, 'macds_12_26_9': 0.13608443990225483}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.669284105300904, '2022-07-13': 2.836113929748535, '2022-07-14': 2.8164870738983154, '2022-07-15': 2.826299905776977, '2022-07-18': 2.6496570110321045, '2022-07-19': 2.737977981567383, '2022-07-20': 2.806673049926758, '2022-07-21': 2.7968599796295166, '2022-07-22': 2.610402107238769, '2022-07-25': 2.6300289630889893}, '1_month_later': {'2022-08-11': 2.620215892791748}, '3_months_later': {'2022-10-11': 2.610402107238769}, '6_months_later': {'2023-01-11': 2.5907750129699707}, '12_months_later': {'2023-07-11': 1.8600000143051147}}
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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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AGE
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{'date': '2022-07-11', 'ticker': 'AGE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.6499999761581421, 'high': 0.7699999809265137, 'open': 0.7699999809265137, 'close': 0.6499999761581421, 'ema_50': 0.7053813487432291, 'rsi_14': 52.80898587950442, 'target': 0.6439999938011169, 'volume': 12800.0, 'ema_200': 0.8472211891537761, 'adj_close': 0.6499999761581421, 'rsi_lag_1': 62.38937866380635, 'rsi_lag_2': 52.06971587027381, 'rsi_lag_3': 49.31817713847891, 'rsi_lag_4': 46.76723836164832, 'rsi_lag_5': 23.4666665395101, 'macd_lag_1': -0.013829028809781208, 'macd_lag_2': -0.023427380209828375, 'macd_lag_3': -0.030959424941570335, 'macd_lag_4': -0.03788273253131769, 'macd_lag_5': -0.048510187394160575, 'macd_12_26_9': -0.01349038910428535, 'macds_12_26_9': -0.028251508807034455}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 0.6439999938011169, '2022-07-13': 0.6600000262260437, '2022-07-14': 0.6919999718666077, '2022-07-15': 0.7239999771118164, '2022-07-18': 0.7250000238418579, '2022-07-19': 0.7110000252723694, '2022-07-20': 0.699999988079071, '2022-07-21': 0.7089999914169312, '2022-07-22': 0.7099999785423279, '2022-07-25': 0.7300000190734863}, '1_month_later': {'2022-08-11': 0.6700000166893005}, '3_months_later': {'2022-10-11': 0.5950000286102295}, '6_months_later': {'2023-01-11': 0.6000000238418579}, '12_months_later': {'2023-07-11': 0.800000011920929}}
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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.
|
AGLE
|
{'date': '2022-07-11', 'ticker': 'AGLE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.324999809265137, 'high': 13.0, 'open': 13.0, 'close': 12.5, 'ema_50': 26.25869459706073, 'rsi_14': 18.75000000000003, 'target': 12.425000190734863, 'volume': 14444.0, 'ema_200': 78.15968944650264, 'adj_close': 12.5, 'rsi_lag_1': 19.165247392383094, 'rsi_lag_2': 13.88888846839761, 'rsi_lag_3': 8.395996704127967, 'rsi_lag_4': 7.279978601220648, 'rsi_lag_5': 16.313483177929, 'macd_lag_1': -4.177998127301992, 'macd_lag_2': -4.416635075268484, 'macd_lag_3': -4.631526087759994, 'macd_lag_4': -4.8005102913494255, 'macd_lag_5': -4.958588149859047, 'macd_12_26_9': -3.9892882739100575, 'macds_12_26_9': -4.665598497596108}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 12.425000190734863, '2022-07-13': 12.052499771118164, '2022-07-14': 11.75, '2022-07-15': 11.72249984741211, '2022-07-18': 11.524999618530272, '2022-07-19': 11.907500267028809, '2022-07-20': 11.850000381469728, '2022-07-21': 11.649999618530272, '2022-07-22': 10.734999656677246, '2022-07-25': 10.234999656677246}, '1_month_later': {'2022-08-11': 12.4975004196167}, '3_months_later': {'2022-10-11': 12.25}, '6_months_later': {'2023-01-11': 12.672499656677246}, '12_months_later': {'2023-07-11': 12.5}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AP
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{'date': '2022-07-11', 'ticker': 'AP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.809999942779541, 'high': 4.059999942779541, 'open': 3.809999942779541, 'close': 3.950000047683716, 'ema_50': 4.338733993731411, 'rsi_14': 89.79592829731672, 'target': 3.849999904632568, 'volume': 4800.0, 'ema_200': 5.121522086734113, 'adj_close': 3.950000047683716, 'rsi_lag_1': 90.90909879069751, 'rsi_lag_2': 90.90909879069751, 'rsi_lag_3': 92.8571489392501, 'rsi_lag_4': 87.2727383069765, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.1239316534945627, 'macd_lag_2': -0.14089704937230652, 'macd_lag_3': -0.16050165211993805, 'macd_lag_4': -0.18420786553415613, 'macd_lag_5': -0.20771350376822673, 'macd_12_26_9': -0.10922735013172069, 'macds_12_26_9': -0.18177680150875897}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 3.849999904632568, '2022-07-13': 3.859999895095825, '2022-07-14': 3.990000009536743, '2022-07-15': 4.150000095367432, '2022-07-18': 4.239999771118164, '2022-07-19': 4.300000190734863, '2022-07-20': 4.429999828338623, '2022-07-21': 4.21999979019165, '2022-07-22': 4.300000190734863, '2022-07-25': 4.139999866485596}, '1_month_later': {'2022-08-11': 4.380000114440918}, '3_months_later': {'2022-10-11': 3.3499999046325684}, '6_months_later': {'2023-01-11': 3.25}, '12_months_later': {'2023-07-11': 3.3499999046325684}}
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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.
|
AFB
|
{'date': '2022-07-11', 'ticker': 'AFB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.56999969482422, 'high': 11.670000076293944, 'open': 11.609999656677246, 'close': 11.630000114440918, 'ema_50': 11.617703402169775, 'rsi_14': 74.6268571737652, 'target': 11.699999809265137, 'volume': 44000.0, 'ema_200': 12.864194644342822, 'adj_close': 10.980173110961914, 'rsi_lag_1': 75.00000000000013, 'rsi_lag_2': 69.38772862214282, 'rsi_lag_3': 69.38772862214282, 'rsi_lag_4': 66.41788123633093, 'rsi_lag_5': 56.16438982521642, 'macd_lag_1': 0.032409716347812534, 'macd_lag_2': 0.026351256924627364, 'macd_lag_3': 0.0049987933261483875, 'macd_lag_4': -0.03963652315603916, 'macd_lag_5': -0.07668537784334895, 'macd_12_26_9': 0.040775650298126465, 'macds_12_26_9': -0.03271112578650054}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.699999809265137, '2022-07-13': 11.84000015258789, '2022-07-14': 11.729999542236328, '2022-07-15': 11.779999732971191, '2022-07-18': 11.770000457763672, '2022-07-19': 11.770000457763672, '2022-07-20': 11.789999961853027, '2022-07-21': 11.869999885559082, '2022-07-22': 11.880000114440918, '2022-07-25': 11.920000076293944}, '1_month_later': {'2022-08-11': 12.369999885559082}, '3_months_later': {'2022-10-11': 10.4399995803833}, '6_months_later': {'2023-01-11': 10.779999732971191}, '12_months_later': {'2023-07-11': 10.6899995803833}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADM
|
{'date': '2022-07-11', 'ticker': 'ADM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/things-to-note-as-conagra-brands-cag-lines-up-for-q4-earnings', 'news_author': None, 'news_article': 'Conagra Brands, Inc. CAG is likely to register top-and bottom-line growth when it reports fourth-quarter fiscal 2022 earnings on Jul 14. The Zacks Consensus Estimate for quarterly revenues is pegged at $2,931 million, suggesting a rise of almost 7% from the prior-year quarter’s reported figure. The consensus mark for fiscal 2022 revenues is pegged at $11,547 million, indicating growth of 3.2% from the year-ago period’s reported figure.\n\nThe Zacks Consensus Estimate for quarterly earnings has been unchanged in the past 30 days at 64 cents per share, suggesting an increase of 18.5% from the figure reported in the prior-year quarter. The company’s consensus mark for the fiscal 2022 bottom line is pegged at $2.35 per share, indicating a decline of almost 11% from the year-ago period’s reported figure. Conagra Brands, a consumer packaged goods food company, has a trailing four-quarter earnings surprise of 0.5%, on average. CAG delivered an earnings surprise of 1.8% in the last reported quarter.\nConagra Brands Price, Consensus and EPS Surprise\n Conagra Brands price-consensus-eps-surprise-chart | Conagra Brands Quote\n Things To Note\nConagra is benefiting from its e-commerce investments, which is yielding well. Continued focus on innovation is helping the company in capturing share across the snacks, frozen and staples categories. Prudent innovations have been helping Conagra modernize its portfolio and aptly meet consumers’ changing needs. Recovery in its Foodservice business as restaurant traffic picks up is aiding growth.\n\nIn its lastearnings call management highlighted that it is benefiting from better-than-anticipated consumer demand, lower-than-expected demand elasticities and increased planned pricing actions. The company expects organic net sales growth of almost 7% in the fourth quarter of fiscal 2022. Adjusted earnings per share (EPS) are envisioned at about 64 cents in the to-be-reported quarter. Management expects organic net sales growth of nearly 4%, while adjusted EPS is anticipated at about $2.35 in fiscal 2022.\n\nYet, Conagra is battling elevated cost of goods sold inflation. On its last call, management highlighted that costs were particularly higher for transport and protein, which remained high as the company started the fiscal fourth quarter. The company highlighted that although it is taking necessary pricing and saving actions, these are not likely to have fully offset input cost inflation in fiscal 2022 due to a timing lag between announcing and implementing these actions. The company expects gross inflation of nearly 16% in the fourth quarter and fiscal 2022.\nWhat the Zacks Model Unveils\nOur proven model does not predict an earnings beat for Conagra this time around. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the odds of an earnings beat. You can uncover the best stocks to buy or sell before they’re reported with our Earnings ESP Filter.\n\nConagra carries a Zacks Rank #4 (Sell) and an Earnings ESP of 0.00%.\nSome Stocks With Favorable Combinations\nHere are some companies you may want to consider, as our model shows that these have the right combination of elements to post an earnings beat.\n\nArcher Daniels ADM currently has an Earnings ESP of +2.59% and a Zacks Rank of 3. The company is likely to register an increase in the bottom line when it reports second-quarter 2022 results. The Zacks Consensus Estimate for ADM’s quarterly earnings has moved up by almost 3% in the last seven days to $1.74 per share. The consensus mark indicates 30.8% growth from the year-ago quarter’s reported number. You can see the complete list of today’s Zacks #1 Rank stocks here.\n\nArcher Daniels’ top line is expected to rise year over year. The Zacks Consensus Estimate for quarterly revenues is pegged at $25.3 billion, which suggests a rise of 10.2% from the figure reported in the prior-year quarter. ADM has delivered an earnings beat of 22.3%, on average, in the trailing four quarters.\n\nCorteva CTVA currently has an Earnings ESP of +8.12% and a Zacks Rank of 3. The company will likely register an increase in the bottom line when it reports second-quarter 2022 results. The Zacks Consensus Estimate for quarterly earnings has been unchanged at $1.46 per share in the past 30 days. The consensus mark for CTVA suggests 4.3% growth from the year-ago quarter’s reported number.\n\nCorteva’s top line is expected to rise year over year. The Zacks Consensus Estimate for quarterly revenues is pegged at $6.2 billion, which suggests a rise of 9.4% from the figure reported in the prior-year quarter. CTVA has delivered an earnings beat of 22.3%, on average, in the trailing four quarters.\n\nPhilip Morris International PM currently has an Earnings ESP of +0.95% and a Zacks Rank of 3. The company is likely to register a decline in the top and bottom lines when it reports second-quarter 2022 results. The consensus mark for PM’s quarterly revenues is pegged at $6.53 billion, which suggests an almost 14% decline from the figure reported in the prior-year quarter.\n\nThe consensus mark for Philip Morris’ quarterly earnings has moved up by a penny in the past 30 days to $1.23 per share. The consensus estimate for PM’s second-quarter earnings suggests a decline of 21.7% from the year-ago quarter’s reported figure. PM has delivered an earnings beat of 3.5%, on average, in the trailing four quarters.\n\nStay on top of upcoming earnings announcements with the Zacks Earnings Calendar.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nPhilip Morris International Inc. (PM): Free Stock Analysis Report\n \nArcher Daniels Midland Company (ADM): Free Stock Analysis Report\n \nConagra Brands (CAG): Free Stock Analysis Report\n \nCorteva, Inc. (CTVA): 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': 'Archer Daniels ADM currently has an Earnings ESP of +2.59% and a Zacks Rank of 3. The Zacks Consensus Estimate for ADM’s quarterly earnings has moved up by almost 3% in the last seven days to $1.74 per share. ADM has delivered an earnings beat of 22.3%, on average, in the trailing four quarters.', 'news_luhn_summary': 'Archer Daniels ADM currently has an Earnings ESP of +2.59% and a Zacks Rank of 3. The Zacks Consensus Estimate for ADM’s quarterly earnings has moved up by almost 3% in the last seven days to $1.74 per share. ADM has delivered an earnings beat of 22.3%, on average, in the trailing four quarters.', 'news_article_title': 'Things to Note as Conagra Brands (CAG) Lines Up for Q4 Earnings', 'news_lexrank_summary': 'The Zacks Consensus Estimate for ADM’s quarterly earnings has moved up by almost 3% in the last seven days to $1.74 per share. Archer Daniels ADM currently has an Earnings ESP of +2.59% and a Zacks Rank of 3. ADM has delivered an earnings beat of 22.3%, on average, in the trailing four quarters.', 'news_textrank_summary': 'Archer Daniels ADM currently has an Earnings ESP of +2.59% and a Zacks Rank of 3. The Zacks Consensus Estimate for ADM’s quarterly earnings has moved up by almost 3% in the last seven days to $1.74 per share. ADM has delivered an earnings beat of 22.3%, on average, in the trailing four quarters.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.5199966430664, 'high': 73.68000030517578, 'open': 72.94999694824219, 'close': 72.62999725341797, 'ema_50': 81.38666146138449, 'rsi_14': 40.64748585345653, 'target': 72.8499984741211, 'volume': 1896100.0, 'ema_200': 77.1027842571223, 'adj_close': 70.35729217529297, 'rsi_lag_1': 39.07030470079483, 'rsi_lag_2': 36.03827997490033, 'rsi_lag_3': 30.230810043432413, 'rsi_lag_4': 32.120308122058944, 'rsi_lag_5': 33.828711885474945, 'macd_lag_1': -3.2322916708841376, 'macd_lag_2': -3.259914266520852, 'macd_lag_3': -3.355681609306572, 'macd_lag_4': -3.2071419814361803, 'macd_lag_5': -2.9871925691007846, 'macd_12_26_9': -3.2304529070140546, 'macds_12_26_9': -3.1263714519944195}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 72.8499984741211, '2022-07-13': 72.69000244140625, '2022-07-14': 71.69999694824219, '2022-07-15': 72.0, '2022-07-18': 72.55000305175781, '2022-07-19': 73.83000183105469, '2022-07-20': 74.56999969482422, '2022-07-21': 74.0199966430664, '2022-07-22': 73.83999633789062, '2022-07-25': 75.62000274658203}, '1_month_later': {'2022-08-11': 84.13999938964844}, '3_months_later': {'2022-10-11': 86.30000305175781}, '6_months_later': {'2023-01-11': 86.68000030517578}, '12_months_later': {'2023-07-11': 80.47000122070312}}
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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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ADMA
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{'date': '2022-07-11', 'ticker': 'ADMA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.2300000190734863, 'high': 2.3499999046325684, 'open': 2.299999952316284, 'close': 2.240000009536743, 'ema_50': 2.0090982474100807, 'rsi_14': 51.754384497269264, 'target': 2.240000009536743, 'volume': 2667700.0, 'ema_200': 1.780326293793693, 'adj_close': 2.240000009536743, 'rsi_lag_1': 61.29032134017389, 'rsi_lag_2': 59.322034583219086, 'rsi_lag_3': 59.66386588294409, 'rsi_lag_4': 59.663869923650964, 'rsi_lag_5': 53.98229668382999, 'macd_lag_1': 0.05979864013225056, 'macd_lag_2': 0.04601063367942615, 'macd_lag_3': 0.0338519631273102, 'macd_lag_4': 0.024967951907297614, 'macd_lag_5': 0.018356457067305598, 'macd_12_26_9': 0.0643357030473477, 'macds_12_26_9': 0.04392322465329704}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.240000009536743, '2022-07-13': 2.2699999809265137, '2022-07-14': 2.220000028610229, '2022-07-15': 2.299999952316284, '2022-07-18': 2.0899999141693115, '2022-07-19': 2.1700000762939453, '2022-07-20': 2.259999990463257, '2022-07-21': 2.240000009536743, '2022-07-22': 2.1700000762939453, '2022-07-25': 2.190000057220459}, '1_month_later': {'2022-08-11': 2.2300000190734863}, '3_months_later': {'2022-10-11': 2.490000009536743}, '6_months_later': {'2023-01-11': 3.390000104904175}, '12_months_later': {'2023-07-11': 3.549999952316284}}
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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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ADNT
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{'date': '2022-07-11', 'ticker': 'ADNT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.239999771118164, 'high': 30.059999465942383, 'open': 29.530000686645508, 'close': 28.270000457763672, 'ema_50': 32.691323757219685, 'rsi_14': 47.164950892527386, 'target': 30.25, 'volume': 1091900.0, 'ema_200': 37.51989794678283, 'adj_close': 28.270000457763672, 'rsi_lag_1': 55.34722625105533, 'rsi_lag_2': 41.6949177016639, 'rsi_lag_3': 37.718766726714954, 'rsi_lag_4': 45.47786985688642, 'rsi_lag_5': 38.24163621321073, 'macd_lag_1': -1.1397693182891153, 'macd_lag_2': -1.1919365491241898, 'macd_lag_3': -1.1811109038665712, 'macd_lag_4': -0.9627681788725653, 'macd_lag_5': -0.8553886234787171, 'macd_12_26_9': -1.2271053498121347, 'macds_12_26_9': -0.9913948883484863}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 30.25, '2022-07-13': 29.26000022888184, '2022-07-14': 27.93000030517578, '2022-07-15': 28.540000915527344, '2022-07-18': 28.690000534057617, '2022-07-19': 30.700000762939453, '2022-07-20': 30.780000686645508, '2022-07-21': 31.0, '2022-07-22': 30.420000076293945, '2022-07-25': 31.31999969482422}, '1_month_later': {'2022-08-11': 37.209999084472656}, '3_months_later': {'2022-10-11': 29.07999992370605}, '6_months_later': {'2023-01-11': 41.27999877929688}, '12_months_later': {'2023-07-11': 41.40999984741211}}
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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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ADP
|
{'date': '2022-07-11', 'ticker': 'ADP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 214.25, 'high': 217.42999267578125, 'open': 216.88999938964844, 'close': 214.88999938964844, 'ema_50': 214.84052099165584, 'rsi_14': 68.3312471353866, 'target': 212.2899932861328, 'volume': 1136700.0, 'ema_200': 214.19784145143964, 'adj_close': 208.20166015625, 'rsi_lag_1': 72.91723081703759, 'rsi_lag_2': 60.58280543360724, 'rsi_lag_3': 64.10311210643859, 'rsi_lag_4': 59.103782887397124, 'rsi_lag_5': 51.6594535204232, 'macd_lag_1': 0.33968957999960026, 'macd_lag_2': 0.03458175715374523, 'macd_lag_3': -0.2789861441099788, 'macd_lag_4': -0.7504992907631163, 'macd_lag_5': -0.8547143870972604, 'macd_12_26_9': 0.385005124853933, 'macds_12_26_9': -0.4526596849520406}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 212.2899932861328, '2022-07-13': 211.07000732421875, '2022-07-14': 211.1999969482422, '2022-07-15': 214.1300048828125, '2022-07-18': 211.3099975585937, '2022-07-19': 218.9499969482422, '2022-07-20': 216.0500030517578, '2022-07-21': 218.08999633789065, '2022-07-22': 220.33999633789065, '2022-07-25': 218.3800048828125}, '1_month_later': {'2022-08-11': 250.22999572753903}, '3_months_later': {'2022-10-11': 226.2700042724609}, '6_months_later': {'2023-01-11': 245.0500030517578}, '12_months_later': {'2023-07-11': 226.3800048828125}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADPT
|
{'date': '2022-07-11', 'ticker': 'ADPT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.350000381469728, 'high': 10.31999969482422, 'open': 10.279999732971191, 'close': 9.364999771118164, 'ema_50': 8.847773444642561, 'rsi_14': 66.77604585586184, 'target': 9.770000457763672, 'volume': 1084900.0, 'ema_200': 17.49249621199509, 'adj_close': 9.364999771118164, 'rsi_lag_1': 81.70055663032448, 'rsi_lag_2': 84.03041459723711, 'rsi_lag_3': 82.53637915632736, 'rsi_lag_4': 80.82191691342261, 'rsi_lag_5': 66.97892614261406, 'macd_lag_1': 0.5448121818002818, 'macd_lag_2': 0.4478548691174833, 'macd_lag_3': 0.2839878360560224, 'macd_lag_4': 0.18881225706963, 'macd_lag_5': 0.11244172442026112, 'macd_12_26_9': 0.5320031120938129, 'macds_12_26_9': 0.2782354818183943}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 9.770000457763672, '2022-07-13': 9.899999618530272, '2022-07-14': 9.56999969482422, '2022-07-15': 9.529999732971191, '2022-07-18': 8.949999809265137, '2022-07-19': 9.199999809265137, '2022-07-20': 9.609999656677246, '2022-07-21': 9.5600004196167, '2022-07-22': 8.6899995803833, '2022-07-25': 8.739999771118164}, '1_month_later': {'2022-08-11': 12.119999885559082}, '3_months_later': {'2022-10-11': 6.619999885559082}, '6_months_later': {'2023-01-11': 9.390000343322754}, '12_months_later': {'2023-07-11': 6.940000057220459}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADSK
|
{'date': '2022-07-11', 'ticker': 'ADSK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 174.07000732421875, 'high': 179.4499969482422, 'open': 177.83999633789062, 'close': 176.72000122070312, 'ema_50': 187.83428015170233, 'rsi_14': 57.07509810860932, 'target': 172.3300018310547, 'volume': 991100.0, 'ema_200': 225.2077030660231, 'adj_close': 176.72000122070312, 'rsi_lag_1': 62.201262976870225, 'rsi_lag_2': 53.76460529238167, 'rsi_lag_3': 53.51188769632554, 'rsi_lag_4': 52.54964224168999, 'rsi_lag_5': 42.26538859015681, 'macd_lag_1': -3.4251055232530803, 'macd_lag_2': -3.802623614706988, 'macd_lag_3': -4.475562903332332, 'macd_lag_4': -4.707342245387821, 'macd_lag_5': -4.952015441062059, 'macd_12_26_9': -3.338387915979581, 'macds_12_26_9': -4.104666950308021}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 172.3300018310547, '2022-07-13': 170.9499969482422, '2022-07-14': 170.9600067138672, '2022-07-15': 176.2100067138672, '2022-07-18': 177.22000122070312, '2022-07-19': 184.759994506836, '2022-07-20': 196.3800048828125, '2022-07-21': 199.1000061035156, '2022-07-22': 195.9499969482422, '2022-07-25': 195.7100067138672}, '1_month_later': {'2022-08-11': 227.259994506836}, '3_months_later': {'2022-10-11': 191.02999877929688}, '6_months_later': {'2023-01-11': 199.92999267578125}, '12_months_later': {'2023-07-11': 212.0500030517578}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADT
|
{'date': '2022-07-11', 'ticker': 'ADT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.53000020980835, 'high': 6.670000076293945, 'open': 6.590000152587891, 'close': 6.619999885559082, 'ema_50': 6.785565337415191, 'rsi_14': 59.638545910805014, 'target': 6.690000057220459, 'volume': 1529100.0, 'ema_200': 7.575168858749383, 'adj_close': 6.426360130310059, 'rsi_lag_1': 64.04494592719391, 'rsi_lag_2': 53.39806746645704, 'rsi_lag_3': 49.206343199326874, 'rsi_lag_4': 44.23077187594708, 'rsi_lag_5': 37.28069661763328, 'macd_lag_1': -0.13688345040593664, 'macd_lag_2': -0.16750530488273707, 'macd_lag_3': -0.20008076222797744, 'macd_lag_4': -0.21431223690622847, 'macd_lag_5': -0.22834134820509977, 'macd_12_26_9': -0.1137252227475054, 'macds_12_26_9': -0.17180277091839}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 6.690000057220459, '2022-07-13': 6.659999847412109, '2022-07-14': 6.590000152587891, '2022-07-15': 6.809999942779541, '2022-07-18': 6.849999904632568, '2022-07-19': 7.110000133514404, '2022-07-20': 7.21999979019165, '2022-07-21': 7.21999979019165, '2022-07-22': 7.070000171661377, '2022-07-25': 7.050000190734863}, '1_month_later': {'2022-08-11': 8.029999732971191}, '3_months_later': {'2022-10-11': 8.170000076293945}, '6_months_later': {'2023-01-11': 9.720000267028809}, '12_months_later': {'2023-07-11': 6.320000171661377}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADTN
|
{'date': '2022-07-11', 'ticker': 'ADTN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.049999237060547, 'high': 20.89999961853028, 'open': 20.46999931335449, 'close': 20.07999992370605, 'ema_50': 18.56766206610329, 'rsi_14': 67.35598880834068, 'target': 19.850000381469727, 'volume': 2932600.0, 'ema_200': 18.966302834862336, 'adj_close': 19.39529800415039, 'rsi_lag_1': 73.74810314272673, 'rsi_lag_2': 62.37762954102506, 'rsi_lag_3': 56.18892948305549, 'rsi_lag_4': 50.46041583022554, 'rsi_lag_5': 48.40989125416604, 'macd_lag_1': 0.2724163365393899, 'macd_lag_2': 0.12042493191270154, 'macd_lag_3': -0.03459577147920001, 'macd_lag_4': -0.0945007646555176, 'macd_lag_5': -0.09016870547716849, 'macd_12_26_9': 0.35010289991137356, 'macds_12_26_9': 0.10538374335351332}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 19.850000381469727, '2022-07-13': 19.57999992370605, '2022-07-14': 19.21999931335449, '2022-07-15': 20.200000762939453, '2022-07-18': 21.39999961853028, '2022-07-19': 22.350000381469727, '2022-07-20': 23.270000457763672, '2022-07-21': 23.90999984741211, '2022-07-22': 24.0, '2022-07-25': 23.96999931335449}, '1_month_later': {'2022-08-11': 24.18000030517578}, '3_months_later': {'2022-10-11': 19.51000022888184}, '6_months_later': {'2023-01-11': 19.25}, '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.
|
ADTX
|
{'date': '2022-07-11', 'ticker': 'ADTX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 368.0, 'high': 448.0, 'open': 448.0, 'close': 400.0, 'ema_50': 486.9035757555633, 'rsi_14': 59.934853420195445, 'target': 390.0, 'volume': 10710.0, 'ema_200': 1431.727586758744, 'adj_close': 400.0, 'rsi_lag_1': 64.11149825783971, 'rsi_lag_2': 45.81497797356828, 'rsi_lag_3': 33.10104529616726, 'rsi_lag_4': 40.372670807453424, 'rsi_lag_5': 33.50515463917526, 'macd_lag_1': -48.336208590048045, 'macd_lag_2': -65.6225311987269, 'macd_lag_3': -70.44074614727737, 'macd_lag_4': -73.73322055583048, 'macd_lag_5': -74.41949559284438, 'macd_12_26_9': -40.62371983863244, 'macds_12_26_9': -62.19271764953631}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 390.0, '2022-07-13': 346.0, '2022-07-14': 338.0, '2022-07-15': 348.0, '2022-07-18': 340.0, '2022-07-19': 360.0, '2022-07-20': 370.0, '2022-07-21': 376.0, '2022-07-22': 346.0, '2022-07-25': 324.0}, '1_month_later': {'2022-08-11': 340.0}, '3_months_later': {'2022-10-11': 123.5999984741211}, '6_months_later': {'2023-01-11': 53.59999847412109}, '12_months_later': {'2023-07-11': 18.0}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADX
|
{'date': '2022-07-11', 'ticker': 'ADX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.59000015258789, 'high': 15.789999961853027, 'open': 15.739999771118164, 'close': 15.670000076293944, 'ema_50': 16.109744036771858, 'rsi_14': 68.80734627239919, 'target': 15.470000267028809, 'volume': 147100.0, 'ema_200': 17.632221439559142, 'adj_close': 13.638915061950684, 'rsi_lag_1': 73.80954110975065, 'rsi_lag_2': 57.620818898218495, 'rsi_lag_3': 59.430618992444586, 'rsi_lag_4': 56.79443133926787, 'rsi_lag_5': 45.95376112884167, 'macd_lag_1': -0.13146763241729076, 'macd_lag_2': -0.1612908683140546, 'macd_lag_3': -0.20006463140387254, 'macd_lag_4': -0.22322588644493813, 'macd_lag_5': -0.24546842477857034, 'macd_12_26_9': -0.1169740221696216, 'macds_12_26_9': -0.1997339327602331}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 15.470000267028809, '2022-07-13': 15.380000114440918, '2022-07-14': 15.329999923706056, '2022-07-15': 15.600000381469728, '2022-07-18': 15.539999961853027, '2022-07-19': 15.949999809265137, '2022-07-20': 16.0, '2022-07-21': 16.219999313354492, '2022-07-22': 16.049999237060547, '2022-07-25': 16.020000457763672}, '1_month_later': {'2022-08-11': 16.969999313354492}, '3_months_later': {'2022-10-11': 14.600000381469728}, '6_months_later': {'2023-01-11': 14.899999618530272}, '12_months_later': {'2023-07-11': 16.799999237060547}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
ADXS
|
{'date': '2022-07-11', 'ticker': 'ADXS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.0499999523162842, 'high': 1.2100000381469729, 'open': 1.2100000381469729, 'close': 1.0800000429153442, 'ema_50': 1.8339159933300395, 'rsi_14': 38.66498772699505, 'target': 1.090000033378601, 'volume': 17007.0, 'ema_200': 5.060095973590431, 'adj_close': 1.0800000429153442, 'rsi_lag_1': 40.18324531764056, 'rsi_lag_2': 37.71498866852413, 'rsi_lag_3': 26.658470415511857, 'rsi_lag_4': 21.100521108446287, 'rsi_lag_5': 19.108090191807364, 'macd_lag_1': -0.20930214820933157, 'macd_lag_2': -0.22378591944968762, 'macd_lag_3': -0.24309014598536427, 'macd_lag_4': -0.2550298623325653, 'macd_lag_5': -0.26453357864974714, 'macd_12_26_9': -0.20195101481854616, 'macds_12_26_9': -0.23661267293904203}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 1.090000033378601, '2022-07-13': 1.1200000047683716, '2022-07-14': 1.0099999904632568, '2022-07-15': 1.190000057220459, '2022-07-18': 1.0199999809265137, '2022-07-19': 0.9391000270843506, '2022-07-20': 0.8871999979019165, '2022-07-21': 0.9315000176429749, '2022-07-22': 0.8205000162124634, '2022-07-25': 0.8700000047683716}, '1_month_later': {'2022-08-11': 1.3600000143051147}, '3_months_later': {'2022-10-11': 0.9176999926567078}, '6_months_later': {'2023-01-11': 0.555899977684021}, '12_months_later': {'2023-07-11': 0.949999988079071}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AEE
|
{'date': '2022-07-11', 'ticker': 'AEE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 86.9000015258789, 'high': 88.48999786376953, 'open': 87.29000091552734, 'close': 87.91999816894531, 'ema_50': 89.84709610600699, 'rsi_14': 69.84800587718033, 'target': 87.5199966430664, 'volume': 1536600.0, 'ema_200': 88.58385170327068, 'adj_close': 84.10291290283203, 'rsi_lag_1': 67.02189169069769, 'rsi_lag_2': 64.09963304638893, 'rsi_lag_3': 64.94548029906503, 'rsi_lag_4': 56.2792985095455, 'rsi_lag_5': 57.908858810395415, 'macd_lag_1': -0.5506961809008715, 'macd_lag_2': -0.5363388140927299, 'macd_lag_3': -0.5601029929273693, 'macd_lag_4': -0.609779118120656, 'macd_lag_5': -0.61136851390782, 'macd_12_26_9': -0.5421079826620172, 'macds_12_26_9': -0.887196152838766}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 87.5199966430664, '2022-07-13': 87.08000183105469, '2022-07-14': 87.05000305175781, '2022-07-15': 87.75, '2022-07-18': 86.41999816894531, '2022-07-19': 86.47000122070312, '2022-07-20': 85.8499984741211, '2022-07-21': 86.30999755859375, '2022-07-22': 87.43000030517578, '2022-07-25': 88.27999877929688}, '1_month_later': {'2022-08-11': 94.02999877929688}, '3_months_later': {'2022-10-11': 77.87999725341797}, '6_months_later': {'2023-01-11': 90.62000274658205}, '12_months_later': {'2023-07-11': 83.41999816894531}}
|
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.
|
AEY
|
{'date': '2022-07-11', 'ticker': 'AEY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.100000381469728, 'high': 13.399999618530272, 'open': 13.199999809265137, 'close': 13.199999809265137, 'ema_50': 12.905954676138762, 'rsi_14': 59.259256642869545, 'target': 12.699999809265137, 'volume': 300.0, 'ema_200': 15.399412720936173, 'adj_close': 13.199999809265137, 'rsi_lag_1': 60.71428814712737, 'rsi_lag_2': 58.620685119268394, 'rsi_lag_3': 50.0, 'rsi_lag_4': 48.148141607173855, 'rsi_lag_5': 36.111112582830586, 'macd_lag_1': -0.055649487750224935, 'macd_lag_2': -0.0791964994440626, 'macd_lag_3': -0.11828095685465101, 'macd_lag_4': -0.13590101279327804, 'macd_lag_5': -0.1258683954940345, 'macd_12_26_9': -0.0206123913792009, 'macds_12_26_9': -0.07395178051895303}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 12.699999809265137, '2022-07-13': 13.199999809265137, '2022-07-14': 12.899999618530272, '2022-07-15': 13.5, '2022-07-18': 13.5, '2022-07-19': 13.0, '2022-07-20': 13.100000381469728, '2022-07-21': 13.5, '2022-07-22': 13.5, '2022-07-25': 13.600000381469728}, '1_month_later': {'2022-08-11': 14.100000381469728}, '3_months_later': {'2022-10-11': 20.100000381469727}, '6_months_later': {'2023-01-11': 14.399999618530272}, '12_months_later': {'2023-07-11': 6.5}}
|
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.
|
aesr
|
{'date': '2022-07-11', 'ticker': 'aesr', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.199999809265137, 'high': 11.279999732971191, 'open': 11.220000267028809, 'close': 11.239999771118164, 'ema_50': 11.685592700960719, 'rsi_14': 67.82883436370955, 'target': 11.119999885559082, 'volume': 19500.0, 'ema_200': 12.667680727374842, 'adj_close': 11.122710227966309, 'rsi_lag_1': 68.92111145323256, 'rsi_lag_2': 53.101749744424666, 'rsi_lag_3': 54.237299876980586, 'rsi_lag_4': 50.851297716864835, 'rsi_lag_5': 40.838659900242284, 'macd_lag_1': -0.16005393205242058, 'macd_lag_2': -0.18046176582988593, 'macd_lag_3': -0.20388468434832951, 'macd_lag_4': -0.21452435683938198, 'macd_lag_5': -0.22702040677212487, 'macd_12_26_9': -0.14702727032095275, 'macds_12_26_9': -0.19845264107192456}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.119999885559082, '2022-07-13': 11.039999961853027, '2022-07-14': 11.039999961853027, '2022-07-15': 11.220000267028809, '2022-07-18': 11.170000076293944, '2022-07-19': 11.390000343322754, '2022-07-20': 11.444000244140623, '2022-07-21': 11.539999961853027, '2022-07-22': 11.479999542236328, '2022-07-25': 11.512999534606934}, '1_month_later': {'2022-08-11': 12.109999656677246}, '3_months_later': {'2022-10-11': 10.68000030517578}, '6_months_later': {'2023-01-11': 11.68000030517578}, '12_months_later': {'2023-07-11': 12.779000282287598}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AES
|
{'date': '2022-07-11', 'ticker': 'AES', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.18000030517578, 'high': 21.5, 'open': 21.36000061035156, 'close': 21.299999237060547, 'ema_50': 21.286007482975002, 'rsi_14': 68.60253957836156, 'target': 21.06999969482422, 'volume': 3747200.0, 'ema_200': 22.538207565393044, 'adj_close': 20.356342315673828, 'rsi_lag_1': 72.7758080188101, 'rsi_lag_2': 65.14659569088005, 'rsi_lag_3': 66.61468320139588, 'rsi_lag_4': 63.54166962324743, 'rsi_lag_5': 55.09676904906464, 'macd_lag_1': 0.05352932715857861, 'macd_lag_2': 0.013574666241332523, 'macd_lag_3': -0.02845580784759605, 'macd_lag_4': -0.04401545541505314, 'macd_lag_5': -0.0774894822684189, 'macd_12_26_9': 0.06826833878621841, 'macds_12_26_9': -0.05821459301958105}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 21.06999969482422, '2022-07-13': 20.90999984741211, '2022-07-14': 20.520000457763672, '2022-07-15': 20.350000381469727, '2022-07-18': 20.280000686645508, '2022-07-19': 20.6200008392334, '2022-07-20': 19.979999542236328, '2022-07-21': 19.90999984741211, '2022-07-22': 19.729999542236328, '2022-07-25': 20.0}, '1_month_later': {'2022-08-11': 24.350000381469727}, '3_months_later': {'2022-10-11': 24.68000030517578}, '6_months_later': {'2023-01-11': 27.729999542236328}, '12_months_later': {'2023-07-11': 21.39999961853028}}
|
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.
|
AER
|
{'date': '2022-07-11', 'ticker': 'AER', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 38.43000030517578, 'high': 39.47999954223633, 'open': 38.560001373291016, 'close': 38.619998931884766, 'ema_50': 44.054674945415776, 'rsi_14': 45.83331815621526, 'target': 40.18000030517578, 'volume': 554400.0, 'ema_200': 51.403013947940906, 'adj_close': 38.619998931884766, 'rsi_lag_1': 55.466877423954934, 'rsi_lag_2': 44.292235284046996, 'rsi_lag_3': 44.292235284046996, 'rsi_lag_4': 45.97156667394137, 'rsi_lag_5': 40.011783530122635, 'macd_lag_1': -1.7067164152444931, 'macd_lag_2': -1.7596550056896803, 'macd_lag_3': -1.78533802203863, 'macd_lag_4': -1.6658960091832995, 'macd_lag_5': -1.6816496541331105, 'macd_12_26_9': -1.6984401123787833, 'macds_12_26_9': -1.75495295868931}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 40.18000030517578, '2022-07-13': 39.7599983215332, '2022-07-14': 38.70000076293945, '2022-07-15': 40.040000915527344, '2022-07-18': 41.060001373291016, '2022-07-19': 42.95000076293945, '2022-07-20': 43.59000015258789, '2022-07-21': 44.11000061035156, '2022-07-22': 42.97999954223633, '2022-07-25': 43.630001068115234}, '1_month_later': {'2022-08-11': 48.459999084472656}, '3_months_later': {'2022-10-11': 46.72999954223633}, '6_months_later': {'2023-01-11': 61.400001525878906}, '12_months_later': {'2023-07-11': 64.4000015258789}}
|
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.
|
AEP
|
{'date': '2022-07-11', 'ticker': 'AEP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/reasons-to-add-eversource-energy-es-to-your-portfolio-now', 'news_author': None, 'news_article': 'Eversource Energy’s ES ongoing systematic investments in transmission and distribution networks, acquisitions and the expansion of renewable operations, along with stable financial conditions, will drive its performance in the long run.\n\nLet’s focus on the factors that make this Zacks Rank #2 (Buy) stock a strong investment pick at the moment. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.\nGrowth Projection & Surprise History\nThe Zacks Consensus Estimate for 2022 earnings has moved up by 0.2% in the past 60 days to $4.12 per share. The Zacks Consensus Estimate for 2023 earnings has moved up by 0.5% in the past 60 days to $4.39 per share.\n\nEversource Energy’s long-term (three to five years) earnings growth is projected at 6.2%.\n\nES delivered an average earnings surprise of 0.1% in the last four quarters.\nDividend\nEversource Energy has a long history of dividend payments and has paid dividends to shareholders consecutively since 1966. The strong performance of the company enables it to reward shareholders through dividend hikes. The new quarterly dividend for 2022 is 64 cents per share, representing a 6.7% increase from 2021. Currently, Eversource Energy’s dividend yield is 3.1%, better than the Zacks S&P 500 Composite’s average of 1.7%.\nStable Investments\nEversource Energy is currently focused on upgrading electric distribution and transmission infrastructure. Eversource Energy forecasts capital investments of $18.1 billion within the 2022-2026 period. Of the total, ES plans to invest nearly $11.6 billion in the electric and natural distribution network and $4.6 billion in the electric transmission segment in the same period. Eversource Energy also diversified its operations in the water business and plans to make investments of $0.9 billion from 2022 to 2026 in the water distribution business to further strengthen operations and serve the expanding customer base more efficiently.\nExpanding Operations in Water Industry\nGiven the impressive prospects of the water industry, Eversource Energy is trying to expand the water business through inorganic ways. In March 2022, ES’ unit, Aquarion Company, entered into an agreement to acquire The Torrington Water Company (TWC) in Connecticut. This acquisition will expand the water distribution business and add nearly 10,100 customers to its customer base.\nDebt Position\nThe Debt to Capital of Eversource Energy at the end of the first quarter of 2022 was 57.9% compared with the industry average of 58.4%. This indicates that the company is using comparatively lower debts to manage the business compared with peers.\n\nEversource Energy’s times interest earned ratio at the end of the first quarter improved to 3.8 from 3.7 in the last reported quarter. A strong ratio indicates that the utility will be able to meet debt obligations in the near future without any difficulties.\nPrice Performance\nIn the past month, shares of Eversource Energy have declined 0.7%, narrower than the industry’s decline of 5.9%.\n\nImage Source: Zacks Investment Research\nOther Stocks to Consider\nSome other similar-ranked stocks from the same sector include Sempra Energy SRE, Northwest Natural Holding Company NWN and American Electric Power AEP.\n\nThe long-term earnings growth of Sempra Energy, Northwest Natural and American Electric Power is projected at 5.6%, 4.7% and 6.2%, respectively.\n\nSempra Energy, Northwest Natural and American Electric Power delivered an average earnings surprise of 2.8%, 21.8% and 2.4%, respectively, in the last four quarters.\n\nIn the past month, SRE, NWN and AEP shares have surged 0.1%, 1.1% and 1.4%, respectively.\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 \nSempra Energy (SRE): Free Stock Analysis Report\n \nAmerican Electric Power Company, Inc. (AEP): Free Stock Analysis Report\n \nNorthwest Natural Gas Company (NWN): Free Stock Analysis Report\n \nEversource Energy (ES): 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': 'Image Source: Zacks Investment Research Other Stocks to Consider Some other similar-ranked stocks from the same sector include Sempra Energy SRE, Northwest Natural Holding Company NWN and American Electric Power AEP. In the past month, SRE, NWN and AEP shares have surged 0.1%, 1.1% and 1.4%, respectively. American Electric Power Company, Inc. (AEP): Free Stock Analysis Report', 'news_luhn_summary': 'Image Source: Zacks Investment Research Other Stocks to Consider Some other similar-ranked stocks from the same sector include Sempra Energy SRE, Northwest Natural Holding Company NWN and American Electric Power AEP. American Electric Power Company, Inc. (AEP): Free Stock Analysis Report In the past month, SRE, NWN and AEP shares have surged 0.1%, 1.1% and 1.4%, respectively.', 'news_article_title': 'Reasons to Add Eversource Energy (ES) to Your Portfolio Now', 'news_lexrank_summary': 'Image Source: Zacks Investment Research Other Stocks to Consider Some other similar-ranked stocks from the same sector include Sempra Energy SRE, Northwest Natural Holding Company NWN and American Electric Power AEP. In the past month, SRE, NWN and AEP shares have surged 0.1%, 1.1% and 1.4%, respectively. American Electric Power Company, Inc. (AEP): Free Stock Analysis Report', 'news_textrank_summary': 'Image Source: Zacks Investment Research Other Stocks to Consider Some other similar-ranked stocks from the same sector include Sempra Energy SRE, Northwest Natural Holding Company NWN and American Electric Power AEP. In the past month, SRE, NWN and AEP shares have surged 0.1%, 1.1% and 1.4%, respectively. American Electric Power Company, Inc. (AEP): Free Stock Analysis Report'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 93.8000030517578, 'high': 95.4499969482422, 'open': 94.26000213623048, 'close': 95.01000213623048, 'ema_50': 96.40123028494993, 'rsi_14': 70.29519559353255, 'target': 94.37000274658205, 'volume': 1699200.0, 'ema_200': 93.16279245864447, 'adj_close': 89.73786163330078, 'rsi_lag_1': 65.72997994079175, 'rsi_lag_2': 60.96316276335467, 'rsi_lag_3': 62.4004662700651, 'rsi_lag_4': 51.505547134420446, 'rsi_lag_5': 49.21755339327218, 'macd_lag_1': -0.8473842482954694, 'macd_lag_2': -0.8870905695817726, 'macd_lag_3': -0.9431944424475773, 'macd_lag_4': -1.0295939371729048, 'macd_lag_5': -1.0006768925191807, 'macd_12_26_9': -0.7531707505734175, 'macds_12_26_9': -1.1409503005316923}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 94.37000274658205, '2022-07-13': 93.9000015258789, '2022-07-14': 94.2699966430664, '2022-07-15': 95.22000122070312, '2022-07-18': 93.37000274658205, '2022-07-19': 93.58999633789062, '2022-07-20': 92.70999908447266, '2022-07-21': 92.79000091552734, '2022-07-22': 94.3499984741211, '2022-07-25': 95.8000030517578}, '1_month_later': {'2022-08-11': 101.1999969482422}, '3_months_later': {'2022-10-11': 84.87000274658203}, '6_months_later': {'2023-01-11': 97.62999725341795}, '12_months_later': {'2023-07-11': 86.0199966430664}}
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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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AEO
|
{'date': '2022-07-11', 'ticker': 'AEO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.489999771118164, 'high': 11.90999984741211, 'open': 11.59000015258789, 'close': 11.859999656677246, 'ema_50': 13.191982644303168, 'rsi_14': 50.26315135638833, 'target': 11.800000190734863, 'volume': 6384800.0, 'ema_200': 18.959672507056304, 'adj_close': 11.608129501342772, 'rsi_lag_1': 48.238480633818746, 'rsi_lag_2': 45.876291700524554, 'rsi_lag_3': 50.35460689103194, 'rsi_lag_4': 47.43875666297941, 'rsi_lag_5': 44.34180143654692, 'macd_lag_1': -0.4014199918762653, 'macd_lag_2': -0.4243691864552499, 'macd_lag_3': -0.4495244714326443, 'macd_lag_4': -0.4608386442628163, 'macd_lag_5': -0.4716311508534119, 'macd_12_26_9': -0.3684948873717939, 'macds_12_26_9': -0.4428665046547468}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.800000190734863, '2022-07-13': 11.93000030517578, '2022-07-14': 11.59000015258789, '2022-07-15': 11.779999732971191, '2022-07-18': 11.699999809265137, '2022-07-19': 11.989999771118164, '2022-07-20': 12.229999542236328, '2022-07-21': 12.119999885559082, '2022-07-22': 12.229999542236328, '2022-07-25': 12.029999732971191}, '1_month_later': {'2022-08-11': 12.460000038146973}, '3_months_later': {'2022-10-11': 10.050000190734863}, '6_months_later': {'2023-01-11': 15.960000038146973}, '12_months_later': {'2023-07-11': 12.300000190734863}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
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AEZS
|
{'date': '2022-07-11', 'ticker': 'AEZS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.5, 'high': 6.0, 'open': 5.75, 'close': 5.75, 'ema_50': 5.6460935917137505, 'rsi_14': 61.904761904761905, 'target': 5.75, 'volume': 27616.0, 'ema_200': 9.389629487239654, 'adj_close': 5.75, 'rsi_lag_1': 63.63636363636363, 'rsi_lag_2': 60.0, 'rsi_lag_3': 57.89473684210526, 'rsi_lag_4': 57.89473684210526, 'rsi_lag_5': 57.89473684210526, 'macd_lag_1': 0.02330349359389583, 'macd_lag_2': -0.034329498099816114, 'macd_lag_3': -0.05648172388924699, 'macd_lag_4': -0.05847992154936943, 'macd_lag_5': -0.08563427679484459, 'macd_12_26_9': 0.06819198003661775, 'macds_12_26_9': -0.08852564504697998}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 5.75, '2022-07-13': 5.5, '2022-07-14': 5.75, '2022-07-15': 6.0, '2022-07-18': 5.5, '2022-07-19': 5.0, '2022-07-20': 4.75, '2022-07-21': 4.340000152587891, '2022-07-22': 4.829999923706055, '2022-07-25': 4.449999809265137}, '1_month_later': {'2022-08-11': 4.96999979019165}, '3_months_later': {'2022-10-11': 3.670000076293945}, '6_months_later': {'2023-01-11': 3.5799999237060547}, '12_months_later': {'2023-07-11': 2.8299999237060547}}
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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.
|
AEMD
|
{'date': '2022-07-11', 'ticker': 'AEMD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/fda-approves-aethlon-medicals-protocol-amendment-for-covid-19-trial', 'news_author': None, 'news_article': '(RTTNews) - The U.S. Food and Drug Administration has approved an amendment to the protocol of ongoing clinical trial investigating the Aethlon Hemopurifier for patients with severe COVID-19, Aethlon Medical Inc. (AEMD) said in a statement on Monday.\nThe company stated that the approval eliminates the requirement for previous dialysis treatment, potentially enabling accelerated enrollment in the ongoing clinical study.\nThe Aethlon Hemopurifier is a therapeutic blood filtration system that can bind and remove life-threatening viruses and harmful exosomes from blood.\nAethlon is currently evaluating the safety and feasibility of the Hemopurifier in an active Early Feasibility Study, analogous to a Phase 1 clinical trial for a drug or biologic, which is designed to enroll up to 40 severe COVID-19 patients.\nFor More Such Health News, visit rttnews.com\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': '(RTTNews) - The U.S. Food and Drug Administration has approved an amendment to the protocol of ongoing clinical trial investigating the Aethlon Hemopurifier for patients with severe COVID-19, Aethlon Medical Inc. (AEMD) said in a statement on Monday. The company stated that the approval eliminates the requirement for previous dialysis treatment, potentially enabling accelerated enrollment in the ongoing clinical study. Aethlon is currently evaluating the safety and feasibility of the Hemopurifier in an active Early Feasibility Study, analogous to a Phase 1 clinical trial for a drug or biologic, which is designed to enroll up to 40 severe COVID-19 patients.', 'news_luhn_summary': '(RTTNews) - The U.S. Food and Drug Administration has approved an amendment to the protocol of ongoing clinical trial investigating the Aethlon Hemopurifier for patients with severe COVID-19, Aethlon Medical Inc. (AEMD) said in a statement on Monday. The company stated that the approval eliminates the requirement for previous dialysis treatment, potentially enabling accelerated enrollment in the ongoing clinical study. Aethlon is currently evaluating the safety and feasibility of the Hemopurifier in an active Early Feasibility Study, analogous to a Phase 1 clinical trial for a drug or biologic, which is designed to enroll up to 40 severe COVID-19 patients.', 'news_article_title': "FDA Approves Aethlon Medical's Protocol Amendment For COVID-19 Trial", 'news_lexrank_summary': '(RTTNews) - The U.S. Food and Drug Administration has approved an amendment to the protocol of ongoing clinical trial investigating the Aethlon Hemopurifier for patients with severe COVID-19, Aethlon Medical Inc. (AEMD) said in a statement on Monday. The company stated that the approval eliminates the requirement for previous dialysis treatment, potentially enabling accelerated enrollment in the ongoing clinical study. The Aethlon Hemopurifier is a therapeutic blood filtration system that can bind and remove life-threatening viruses and harmful exosomes from blood.', 'news_textrank_summary': '(RTTNews) - The U.S. Food and Drug Administration has approved an amendment to the protocol of ongoing clinical trial investigating the Aethlon Hemopurifier for patients with severe COVID-19, Aethlon Medical Inc. (AEMD) said in a statement on Monday. Aethlon is currently evaluating the safety and feasibility of the Hemopurifier in an active Early Feasibility Study, analogous to a Phase 1 clinical trial for a drug or biologic, which is designed to enroll up to 40 severe COVID-19 patients. For More Such Health News, visit rttnews.com The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.800000190734863, 'high': 10.600000381469728, 'open': 10.100000381469728, 'close': 10.100000381469728, 'ema_50': 11.334817279840689, 'rsi_14': 52.873563596383065, 'target': 10.100000381469728, 'volume': 119270.0, 'ema_200': 17.211049265630177, 'adj_close': 10.100000381469728, 'rsi_lag_1': 51.11111016921044, 'rsi_lag_2': 48.837204660318875, 'rsi_lag_3': 50.0, 'rsi_lag_4': 53.846158683048934, 'rsi_lag_5': 46.66666727217423, 'macd_lag_1': -0.3029582732989837, 'macd_lag_2': -0.3004509454358626, 'macd_lag_3': -0.2521531567688573, 'macd_lag_4': -0.1868399333172377, 'macd_lag_5': -0.12112255221730273, 'macd_12_26_9': -0.3174245887650393, 'macds_12_26_9': -0.27719202998361336}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 10.100000381469728, '2022-07-13': 10.199999809265137, '2022-07-14': 10.199999809265137, '2022-07-15': 10.5, '2022-07-18': 10.600000381469728, '2022-07-19': 10.5, '2022-07-20': 11.0, '2022-07-21': 10.899999618530272, '2022-07-22': 10.600000381469728, '2022-07-25': 11.699999809265137}, '1_month_later': {'2022-08-11': 13.399999618530272}, '3_months_later': {'2022-10-11': 6.0}, '6_months_later': {'2023-01-11': 4.300000190734863}, '12_months_later': {'2023-07-11': 4.400000095367432}}
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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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AEIS
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{'date': '2022-07-11', 'ticker': 'AEIS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 73.30999755859375, 'high': 74.7300033569336, 'open': 74.23999786376953, 'close': 74.0999984741211, 'ema_50': 76.25312883513234, 'rsi_14': 60.52772239356748, 'target': 74.13999938964844, 'volume': 87200.0, 'ema_200': 83.1657959037557, 'adj_close': 73.64054107666016, 'rsi_lag_1': 65.01879676129957, 'rsi_lag_2': 51.5991473296465, 'rsi_lag_3': 48.85082862670523, 'rsi_lag_4': 48.149845634585105, 'rsi_lag_5': 31.54706122431567, 'macd_lag_1': -0.9767593517797053, 'macd_lag_2': -1.1836509602933205, 'macd_lag_3': -1.4406848076478838, 'macd_lag_4': -1.6062708377595385, 'macd_lag_5': -1.742328172402253, 'macd_12_26_9': -0.868946707069469, 'macds_12_26_9': -1.2589677322324568}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 74.13999938964844, '2022-07-13': 74.8499984741211, '2022-07-14': 75.19999694824219, '2022-07-15': 77.05999755859375, '2022-07-18': 76.25, '2022-07-19': 80.66999816894531, '2022-07-20': 83.83999633789062, '2022-07-21': 86.11000061035156, '2022-07-22': 83.8499984741211, '2022-07-25': 83.69000244140625}, '1_month_later': {'2022-08-11': 93.69000244140624}, '3_months_later': {'2022-10-11': 73.48999786376953}, '6_months_later': {'2023-01-11': 92.30999755859376}, '12_months_later': {'2023-07-11': 110.22000122070312}}
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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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AEHR
|
{'date': '2022-07-11', 'ticker': 'AEHR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.210000038146973, 'high': 7.679999828338623, 'open': 7.5, 'close': 7.340000152587891, 'ema_50': 8.19800895809721, 'rsi_14': 44.923076607066406, 'target': 7.389999866485596, 'volume': 455100.0, 'ema_200': 10.137029081833132, 'adj_close': 7.340000152587891, 'rsi_lag_1': 52.108432220813576, 'rsi_lag_2': 42.091836424382244, 'rsi_lag_3': 40.10553830777368, 'rsi_lag_4': 44.38502394258777, 'rsi_lag_5': 33.25580846044652, 'macd_lag_1': -0.26080066533608726, 'macd_lag_2': -0.28403260680463305, 'macd_lag_3': -0.30140818194816443, 'macd_lag_4': -0.2703288859973618, 'macd_lag_5': -0.2460738066499104, 'macd_12_26_9': -0.2555813151771975, 'macds_12_26_9': -0.23595766661554535}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 7.389999866485596, '2022-07-13': 7.989999771118164, '2022-07-14': 8.0, '2022-07-15': 8.1899995803833, '2022-07-18': 8.34000015258789, '2022-07-19': 9.199999809265137, '2022-07-20': 11.84000015258789, '2022-07-21': 12.140000343322754, '2022-07-22': 11.470000267028809, '2022-07-25': 10.760000228881836}, '1_month_later': {'2022-08-11': 16.43000030517578}, '3_months_later': {'2022-10-11': 15.739999771118164}, '6_months_later': {'2023-01-11': 28.270000457763672}, '12_months_later': {'2023-07-11': 38.709999084472656}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AEG
|
{'date': '2022-07-11', 'ticker': 'AEG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.139999866485596, 'high': 4.210000038146973, 'open': 4.179999828338623, 'close': 4.159999847412109, 'ema_50': 4.787258758607705, 'rsi_14': 37.72453123585727, 'target': 4.130000114440918, 'volume': 2520000.0, 'ema_200': 4.947554667149808, 'adj_close': 3.8306145668029785, 'rsi_lag_1': 39.26379793789703, 'rsi_lag_2': 32.369937735490225, 'rsi_lag_3': 34.99998675451076, 'rsi_lag_4': 37.288130570513225, 'rsi_lag_5': 39.75902472373588, 'macd_lag_1': -0.24101631006547386, 'macd_lag_2': -0.24609285283878446, 'macd_lag_3': -0.24084738825081065, 'macd_lag_4': -0.2184308630906786, 'macd_lag_5': -0.1927511344152535, 'macd_12_26_9': -0.23828095632659618, 'macds_12_26_9': -0.2196935619678108}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 4.130000114440918, '2022-07-13': 4.070000171661377, '2022-07-14': 3.930000066757202, '2022-07-15': 4.019999980926514, '2022-07-18': 4.130000114440918, '2022-07-19': 4.230000019073486, '2022-07-20': 4.170000076293945, '2022-07-21': 4.199999809265137, '2022-07-22': 4.159999847412109, '2022-07-25': 4.239999771118164}, '1_month_later': {'2022-08-11': 5.03000020980835}, '3_months_later': {'2022-10-11': 3.819999933242798}, '6_months_later': {'2023-01-11': 5.25}, '12_months_later': {'2023-07-11': 5.21999979019165}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AEF
|
{'date': '2022-07-11', 'ticker': 'AEF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.449999809265137, 'high': 5.550000190734863, 'open': 5.550000190734863, 'close': 5.480000019073486, 'ema_50': 5.763867839751776, 'rsi_14': 47.00000715254715, 'target': 5.360000133514404, 'volume': 34200.0, 'ema_200': 6.81573784498725, 'adj_close': 4.885734081268311, 'rsi_lag_1': 58.000004768364754, 'rsi_lag_2': 49.5726607193874, 'rsi_lag_3': 42.45284716399219, 'rsi_lag_4': 39.21568810779123, 'rsi_lag_5': 35.714310042693924, 'macd_lag_1': -0.057786126026957874, 'macd_lag_2': -0.0657795718196228, 'macd_lag_3': -0.0770616832810358, 'macd_lag_4': -0.07710448759189426, 'macd_lag_5': -0.0709466731270485, 'macd_12_26_9': -0.05963986289679646, 'macds_12_26_9': -0.06827680935793566}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 5.360000133514404, '2022-07-13': 5.320000171661377, '2022-07-14': 5.28000020980835, '2022-07-15': 5.329999923706055, '2022-07-18': 5.400000095367432, '2022-07-19': 5.389999866485596, '2022-07-20': 5.340000152587891, '2022-07-21': 5.449999809265137, '2022-07-22': 5.349999904632568, '2022-07-25': 5.389999866485596}, '1_month_later': {'2022-08-11': 5.539999961853027}, '3_months_later': {'2022-10-11': 4.579999923706055}, '6_months_later': {'2023-01-11': 5.420000076293945}, '12_months_later': {'2023-07-11': 5.170000076293945}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
APA
|
{'date': '2022-07-11', 'ticker': 'APA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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-volatility-surging-for-apa-stock-options', 'news_author': None, 'news_article': 'Investors in APA Corporation APA need to pay close attention to the stock based on moves in the options market lately. That is because the Jan 19, 2024 $15.00 Call had some of the highest implied volatility of all equity options today.\nWhat is Implied Volatility?\nImplied volatility shows how much movement the market is expecting in the future. Options with high levels of implied volatility suggest that investors in the underlying stocks are expecting a big move in one direction or the other. It could also mean there is an event coming up soon that may cause a big rally or a huge sell-off. However, implied volatility is only one piece of the puzzle when putting together an options trading strategy.\nWhat do the Analysts Think?\nClearly, options traders are pricing in a big move for APA shares, but what is the fundamental picture for the company? Currently, APA is a Zacks Rank #3 (Hold) in the Oil and Gas - Exploration and Production - United States industry that ranks in the Top 5% of our Zacks Industry Rank. Over the last 60 days, two analysts have increased their earnings estimates for the current quarter, while four have dropped their estimates. The net effect has taken our Zacks Consensus Estimate for the current quarter from $2.76 per share to $2.74 in that period.\nGiven the way analysts feel about APA right now, this huge implied volatility could mean there’s a trade developing. Oftentimes, options traders look for options with high levels of implied volatility to sell premium. This is a strategy many seasoned traders use because it captures decay. At expiration, the hope for these traders is that the underlying stock does not move as much as originally expected.\nLooking to Trade Options?\nCheck out the simple yet high-powered approach that Zacks Executive VP Kevin Matras has used to close recent double and triple-digit winners. In addition to impressive profit potential, these trades can actually reduce your risk.\nClick to see the trades 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 \nAPA Corporation (APA): 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': 'Investors in APA Corporation APA need to pay close attention to the stock based on moves in the options market lately. Clearly, options traders are pricing in a big move for APA shares, but what is the fundamental picture for the company? Currently, APA is a Zacks Rank #3 (Hold) in the Oil and Gas - Exploration and Production - United States industry that ranks in the Top 5% of our Zacks Industry Rank.', 'news_luhn_summary': 'APA Corporation (APA): Free Stock Analysis Report Investors in APA Corporation APA need to pay close attention to the stock based on moves in the options market lately. Clearly, options traders are pricing in a big move for APA shares, but what is the fundamental picture for the company?', 'news_article_title': 'Implied Volatility Surging for APA Stock Options', 'news_lexrank_summary': 'Given the way analysts feel about APA right now, this huge implied volatility could mean there’s a trade developing. Investors in APA Corporation APA need to pay close attention to the stock based on moves in the options market lately. Clearly, options traders are pricing in a big move for APA shares, but what is the fundamental picture for the company?', 'news_textrank_summary': 'Investors in APA Corporation APA need to pay close attention to the stock based on moves in the options market lately. Clearly, options traders are pricing in a big move for APA shares, but what is the fundamental picture for the company? Currently, APA is a Zacks Rank #3 (Hold) in the Oil and Gas - Exploration and Production - United States industry that ranks in the Top 5% of our Zacks Industry Rank.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 33.52000045776367, 'high': 35.0, 'open': 34.18000030517578, 'close': 34.209999084472656, 'ema_50': 40.06349343645518, 'rsi_14': 36.79492928630749, 'target': 32.43000030517578, 'volume': 5910100.0, 'ema_200': 34.90339361109889, 'adj_close': 33.06760787963867, 'rsi_lag_1': 33.44513002603024, 'rsi_lag_2': 27.213103425849127, 'rsi_lag_3': 18.590017548983397, 'rsi_lag_4': 20.791617659590372, 'rsi_lag_5': 20.22122548697743, 'macd_lag_1': -2.810242969593716, 'macd_lag_2': -2.9019462050016855, 'macd_lag_3': -2.9421645560407015, 'macd_lag_4': -2.6961572214608154, 'macd_lag_5': -2.4162547882110275, 'macd_12_26_9': -2.7574242268432627, 'macds_12_26_9': -2.3794317510635725}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 32.43000030517578, '2022-07-13': 32.900001525878906, '2022-07-14': 31.57999992370605, '2022-07-15': 31.989999771118164, '2022-07-18': 32.79999923706055, '2022-07-19': 34.34000015258789, '2022-07-20': 35.0, '2022-07-21': 33.290000915527344, '2022-07-22': 32.40999984741211, '2022-07-25': 34.43000030517578}, '1_month_later': {'2022-08-11': 34.84000015258789}, '3_months_later': {'2022-10-11': 40.47999954223633}, '6_months_later': {'2023-01-11': 43.81999969482422}, '12_months_later': {'2023-07-11': 37.27999877929688}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
APAM
|
{'date': '2022-07-11', 'ticker': 'APAM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.619998931884766, 'high': 36.40999984741211, 'open': 35.959999084472656, 'close': 36.22999954223633, 'ema_50': 36.606247473784315, 'rsi_14': 57.554587684284144, 'target': 36.220001220703125, 'volume': 340800.0, 'ema_200': 40.57082800555676, 'adj_close': 32.555110931396484, 'rsi_lag_1': 62.126537402659, 'rsi_lag_2': 58.67220584310726, 'rsi_lag_3': 57.689050450941565, 'rsi_lag_4': 61.06736833111727, 'rsi_lag_5': 48.81891156571563, 'macd_lag_1': 0.09879133161703635, 'macd_lag_2': 0.08624401707589158, 'macd_lag_3': 0.006865469577384431, 'macd_lag_4': -0.031423119359025975, 'macd_lag_5': -0.1337997304846823, 'macd_12_26_9': 0.0636214385533691, 'macds_12_26_9': 0.010941380914356907}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 36.220001220703125, '2022-07-13': 35.47999954223633, '2022-07-14': 35.150001525878906, '2022-07-15': 35.7400016784668, '2022-07-18': 35.11000061035156, '2022-07-19': 36.52999877929688, '2022-07-20': 37.2599983215332, '2022-07-21': 37.630001068115234, '2022-07-22': 37.43000030517578, '2022-07-25': 37.900001525878906}, '1_month_later': {'2022-08-11': 38.369998931884766}, '3_months_later': {'2022-10-11': 26.56999969482422}, '6_months_later': {'2023-01-11': 35.0}, '12_months_later': {'2023-07-11': 39.66999816894531}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
APD
|
{'date': '2022-07-11', 'ticker': 'APD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 230.2400054931641, 'high': 235.3600006103516, 'open': 231.3300018310547, 'close': 234.08999633789065, 'ema_50': 242.14150011262942, 'rsi_14': 47.846994130644056, 'target': 231.92999267578125, 'volume': 801400.0, 'ema_200': 256.7241539434777, 'adj_close': 227.03982543945312, 'rsi_lag_1': 46.61195923882813, 'rsi_lag_2': 45.986599231024734, 'rsi_lag_3': 47.61336480747339, 'rsi_lag_4': 46.809008056870695, 'rsi_lag_5': 43.99118186495078, 'macd_lag_1': -1.816374353740997, 'macd_lag_2': -1.2096221472674529, 'macd_lag_3': -0.7851548891894993, 'macd_lag_4': -0.3745047144965383, 'macd_lag_5': -0.12491842295028732, 'macd_12_26_9': -2.1210799089905663, 'macds_12_26_9': -0.9115210446039502}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 231.92999267578125, '2022-07-13': 227.9900054931641, '2022-07-14': 221.97999572753903, '2022-07-15': 225.1999969482422, '2022-07-18': 223.5599975585937, '2022-07-19': 230.0, '2022-07-20': 231.6300048828125, '2022-07-21': 234.58999633789065, '2022-07-22': 234.5599975585937, '2022-07-25': 235.2100067138672}, '1_month_later': {'2022-08-11': 264.8099975585937}, '3_months_later': {'2022-10-11': 231.2100067138672}, '6_months_later': {'2023-01-11': 312.7699890136719}, '12_months_later': {'2023-07-11': 288.6499938964844}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBCP
|
{'date': '2022-07-11', 'ticker': 'BBCP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.199999809265137, 'high': 6.349999904632568, 'open': 6.260000228881836, 'close': 6.289999961853027, 'ema_50': 5.890696941649426, 'rsi_14': 75.37313406279947, 'target': 6.28000020980835, 'volume': 31800.0, 'ema_200': 6.746550660099353, 'adj_close': 6.289999961853027, 'rsi_lag_1': 65.78947450975963, 'rsi_lag_2': 58.55264189831445, 'rsi_lag_3': 58.55264189831445, 'rsi_lag_4': 67.0658774962217, 'rsi_lag_5': 58.947374232919444, 'macd_lag_1': 0.16214703467798142, 'macd_lag_2': 0.1516568915776233, 'macd_lag_3': 0.147261749555323, 'macd_lag_4': 0.15885542138850095, 'macd_lag_5': 0.1631970914398524, 'macd_12_26_9': 0.16931567932509672, 'macds_12_26_9': 0.15306995769783413}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 6.28000020980835, '2022-07-13': 6.349999904632568, '2022-07-14': 6.409999847412109, '2022-07-15': 6.380000114440918, '2022-07-18': 6.230000019073486, '2022-07-19': 6.409999847412109, '2022-07-20': 6.539999961853027, '2022-07-21': 6.489999771118164, '2022-07-22': 6.260000228881836, '2022-07-25': 6.230000019073486}, '1_month_later': {'2022-08-11': 7.210000038146973}, '3_months_later': {'2022-10-11': 6.559999942779541}, '6_months_later': {'2023-01-11': 6.210000038146973}, '12_months_later': {'2023-07-11': 8.09000015258789}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBD
|
{'date': '2022-07-11', 'ticker': 'BBD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/after-hours-most-active-for-jul-11-2022-%3A-itub-bbd-vale-pbr-ko-open-qqq-vtrs-grab-mpw', 'news_author': None, 'news_article': 'The NASDAQ 100 After Hours Indicator is up 10.58 to 11,870.86. The total After hours volume is currently 78,096,679 shares traded.\n\nThe following are the most active stocks for the after hours session:\n\nItau Unibanco Banco Holding SA (ITUB) is unchanged at $4.14, with 9,417,042 shares traded. As reported by Zacks, the current mean recommendation for ITUB is in the "buy range".\n\nBanco Bradesco Sa (BBD) is -0.03 at $3.11, with 6,681,049 shares traded. As reported by Zacks, the current mean recommendation for BBD is in the "buy range".\n\nVALE S.A. (VALE) is +0.06 at $13.56, with 6,558,524 shares traded. VALE\'s current last sale is 71.37% of the target price of $19.\n\nPetroleo Brasileiro S.A.- Petrobras (PBR) is +0.09 at $11.64, with 6,253,848 shares traded. PBR\'s current last sale is 71.63% of the target price of $16.25.\n\nCoca-Cola Company (The) (KO) is -0.04 at $62.90, with 3,596,837 shares traded. As reported by Zacks, the current mean recommendation for KO is in the "buy range".\n\nOpendoor Technologies Inc (OPEN) is -0.02 at $5.10, with 3,182,003 shares traded. As reported by Zacks, the current mean recommendation for OPEN is in the "buy range".\n\nInvesco QQQ Trust, Series 1 (QQQ) is +0.37 at $289.41, with 3,065,759 shares traded. This represents a 7.48% increase from its 52 Week Low.\n\nViatris Inc. (VTRS) is unchanged at $10.05, with 3,006,891 shares traded. VTRS\'s current last sale is 87.39% of the target price of $11.5.\n\nGrab Holdings Limited (GRAB) is -0.02 at $2.37, with 2,217,482 shares traded. As reported by Zacks, the current mean recommendation for GRAB is in the "buy range".\n\nMedical Properties Trust, Inc. (MPW) is unchanged at $15.46, with 1,994,632 shares traded. MPW\'s current last sale is 67.22% of the target price of $23.\n\nComcast Corporation (CMCSA) is unchanged at $39.17, with 1,949,338 shares traded. Over the last four weeks they have had 3 up revisions for the earnings forecast, for the fiscal quarter ending Jun 2022. The consensus EPS forecast is $0.92. As reported by Zacks, the current mean recommendation for CMCSA is in the "buy range".\n\nPayPal Holdings, Inc. (PYPL) is +0.0349 at $70.50, with 1,855,990 shares traded. As reported by Zacks, the current mean recommendation for PYPL is in the "buy range".\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Banco Bradesco Sa (BBD) is -0.03 at $3.11, with 6,681,049 shares traded. As reported by Zacks, the current mean recommendation for BBD is in the "buy range". Itau Unibanco Banco Holding SA (ITUB) is unchanged at $4.14, with 9,417,042 shares traded.', 'news_luhn_summary': 'As reported by Zacks, the current mean recommendation for BBD is in the "buy range". Banco Bradesco Sa (BBD) is -0.03 at $3.11, with 6,681,049 shares traded. Itau Unibanco Banco Holding SA (ITUB) is unchanged at $4.14, with 9,417,042 shares traded.', 'news_article_title': 'After Hours Most Active for Jul 11, 2022 : ITUB, BBD, VALE, PBR, KO, OPEN, QQQ, VTRS, GRAB, MPW, CMCSA, PYPL', 'news_lexrank_summary': 'Banco Bradesco Sa (BBD) is -0.03 at $3.11, with 6,681,049 shares traded. As reported by Zacks, the current mean recommendation for BBD is in the "buy range". The NASDAQ 100 After Hours Indicator is up 10.58 to 11,870.86.', 'news_textrank_summary': 'Banco Bradesco Sa (BBD) is -0.03 at $3.11, with 6,681,049 shares traded. As reported by Zacks, the current mean recommendation for BBD is in the "buy range". The total After hours volume is currently 78,096,679 shares traded.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.109999895095825, 'high': 3.2100000381469727, 'open': 3.180000066757202, 'close': 3.140000104904175, 'ema_50': 3.660958036150888, 'rsi_14': 28.865993064724975, 'target': 3.109999895095825, 'volume': 33922800.0, 'ema_200': 3.9478859689399837, 'adj_close': 2.806703329086304, 'rsi_lag_1': 34.090917095661894, 'rsi_lag_2': 28.28283558060795, 'rsi_lag_3': 24.468098597693754, 'rsi_lag_4': 24.731196027384826, 'rsi_lag_5': 22.77229218584651, 'macd_lag_1': -0.1829640347549737, 'macd_lag_2': -0.1899716014408397, 'macd_lag_3': -0.19411621975005167, 'macd_lag_4': -0.18436455675426444, 'macd_lag_5': -0.1753453317906608, 'macd_12_26_9': -0.18416363613688258, 'macds_12_26_9': -0.17128084280569858}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 3.109999895095825, '2022-07-13': 3.0799999237060547, '2022-07-14': 2.950000047683716, '2022-07-15': 3.0199999809265137, '2022-07-18': 3.059999942779541, '2022-07-19': 3.130000114440918, '2022-07-20': 3.0999999046325684, '2022-07-21': 3.130000114440918, '2022-07-22': 3.059999942779541, '2022-07-25': 3.190000057220459}, '1_month_later': {'2022-08-11': 3.700000047683716}, '3_months_later': {'2022-10-11': 3.839999914169312}, '6_months_later': {'2023-01-11': 2.9600000381469727}, '12_months_later': {'2023-07-11': 3.369999885559082}}
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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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BBDC
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{'date': '2022-07-11', 'ticker': 'BBDC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/surprising-analyst-12-month-target-for-bizd', '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 BDC Income ETF (Symbol: BIZD), we found that the implied analyst target price for the ETF based upon its underlying holdings is $17.75 per unit.\nWith BIZD trading at a recent price near $15.37 per unit, that means that analysts see 15.47% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of BIZD's underlying holdings with notable upside to their analyst target prices are Barings BDC Inc (Symbol: BBDC), Sixth Street Specialty Lending Inc (Symbol: TSLX), and Blackstone Secured Lending Fund (Symbol: BXSL). Although BBDC has traded at a recent price of $9.50/share, the average analyst target is 28.95% higher at $12.25/share. Similarly, TSLX has 28.77% upside from the recent share price of $18.97 if the average analyst target price of $24.43/share is reached, and analysts on average are expecting BXSL to reach a target price of $29.05/share, which is 26.11% above the recent price of $23.04. Below is a twelve month price history chart comparing the stock performance of BBDC, TSLX, and BXSL:\nCombined, BBDC, TSLX, and BXSL represent 10.20% of the BDC Income 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\nBDC Income ETF BIZD $15.37 $17.75 15.47%\nBarings BDC Inc BBDC $9.50 $12.25 28.95%\nSixth Street Specialty Lending Inc TSLX $18.97 $24.43 28.77%\nBlackstone Secured Lending Fund BXSL $23.04 $29.05 26.11%\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 BBDC, TSLX, and BXSL: Combined, BBDC, TSLX, and BXSL represent 10.20% of the BDC Income ETF. BDC Income ETF BIZD $15.37 $17.75 15.47% Barings BDC Inc BBDC $9.50 $12.25 28.95% Sixth Street Specialty Lending Inc TSLX $18.97 $24.43 28.77% Blackstone Secured Lending Fund BXSL $23.04 $29.05 26.11% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Three of BIZD's underlying holdings with notable upside to their analyst target prices are Barings BDC Inc (Symbol: BBDC), Sixth Street Specialty Lending Inc (Symbol: TSLX), and Blackstone Secured Lending Fund (Symbol: BXSL).", 'news_luhn_summary': "Three of BIZD's underlying holdings with notable upside to their analyst target prices are Barings BDC Inc (Symbol: BBDC), Sixth Street Specialty Lending Inc (Symbol: TSLX), and Blackstone Secured Lending Fund (Symbol: BXSL). BDC Income ETF BIZD $15.37 $17.75 15.47% Barings BDC Inc BBDC $9.50 $12.25 28.95% Sixth Street Specialty Lending Inc TSLX $18.97 $24.43 28.77% Blackstone Secured Lending Fund BXSL $23.04 $29.05 26.11% Are analysts justified in these targets, or overly optimistic about where these stocks will be trading 12 months from now? Although BBDC has traded at a recent price of $9.50/share, the average analyst target is 28.95% higher at $12.25/share.", 'news_article_title': 'Surprising Analyst 12-Month Target For BIZD', 'news_lexrank_summary': "Below is a twelve month price history chart comparing the stock performance of BBDC, TSLX, and BXSL: Combined, BBDC, TSLX, and BXSL represent 10.20% of the BDC Income ETF. Three of BIZD's underlying holdings with notable upside to their analyst target prices are Barings BDC Inc (Symbol: BBDC), Sixth Street Specialty Lending Inc (Symbol: TSLX), and Blackstone Secured Lending Fund (Symbol: BXSL). Although BBDC has traded at a recent price of $9.50/share, the average analyst target is 28.95% higher at $12.25/share.", 'news_textrank_summary': "Three of BIZD's underlying holdings with notable upside to their analyst target prices are Barings BDC Inc (Symbol: BBDC), Sixth Street Specialty Lending Inc (Symbol: TSLX), and Blackstone Secured Lending Fund (Symbol: BXSL). Although BBDC has traded at a recent price of $9.50/share, the average analyst target is 28.95% higher at $12.25/share. Below is a twelve month price history chart comparing the stock performance of BBDC, TSLX, and BXSL: Combined, BBDC, TSLX, and BXSL represent 10.20% of the BDC Income 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': 9.40999984741211, 'high': 9.520000457763672, 'open': 9.489999771118164, 'close': 9.40999984741211, 'ema_50': 9.852308679619117, 'rsi_14': 54.867240952965275, 'target': 9.460000038146973, 'volume': 304100.0, 'ema_200': 10.326400303509578, 'adj_close': 7.937189102172852, 'rsi_lag_1': 60.37736697823011, 'rsi_lag_2': 47.76121421230775, 'rsi_lag_3': 45.31250349246034, 'rsi_lag_4': 43.609019321586246, 'rsi_lag_5': 33.72093925868427, 'macd_lag_1': -0.15626223602896872, 'macd_lag_2': -0.17010554300403413, 'macd_lag_3': -0.1873367844353595, 'macd_lag_4': -0.1964233587026385, 'macd_lag_5': -0.21432771654069427, 'macd_12_26_9': -0.15081507337997024, 'macds_12_26_9': -0.18549404754573748}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 9.460000038146973, '2022-07-13': 9.399999618530272, '2022-07-14': 9.34000015258789, '2022-07-15': 9.4399995803833, '2022-07-18': 9.5, '2022-07-19': 9.609999656677246, '2022-07-20': 9.6899995803833, '2022-07-21': 9.630000114440918, '2022-07-22': 9.630000114440918, '2022-07-25': 9.529999732971191}, '1_month_later': {'2022-08-11': 10.289999961853027}, '3_months_later': {'2022-10-11': 8.079999923706055}, '6_months_later': {'2023-01-11': 8.800000190734863}, '12_months_later': {'2023-07-11': 7.699999809265137}}
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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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BBDO
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{'date': '2022-07-11', 'ticker': 'BBDO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.5999999046325684, 'high': 2.6700000762939453, 'open': 2.6700000762939453, 'close': 2.5999999046325684, 'ema_50': 3.0537586070075373, 'rsi_14': 18.18182803382075, 'target': 2.569999933242798, 'volume': 12000.0, 'ema_200': 3.3351914902253403, 'adj_close': 2.322563886642456, 'rsi_lag_1': 31.250002328306053, 'rsi_lag_2': 19.736854901274356, 'rsi_lag_3': 23.749985843891807, 'rsi_lag_4': 24.35895946760502, 'rsi_lag_5': 22.35292863680337, 'macd_lag_1': -0.15586577089967601, 'macd_lag_2': -0.16083450611441785, 'macd_lag_3': -0.15974610382736598, 'macd_lag_4': -0.14992421767605046, 'macd_lag_5': -0.13826174600004082, 'macd_12_26_9': -0.15817385847169652, 'macds_12_26_9': -0.14101733561348084}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.569999933242798, '2022-07-13': 2.539999961853028, '2022-07-14': 2.450000047683716, '2022-07-15': 2.5, '2022-07-18': 2.509999990463257, '2022-07-19': 2.619999885559082, '2022-07-20': 2.549999952316284, '2022-07-21': 2.549999952316284, '2022-07-22': 2.549999952316284, '2022-07-25': 2.630000114440918}, '1_month_later': {'2022-08-11': 3.049999952316284}, '3_months_later': {'2022-10-11': 3.109999895095825}, '6_months_later': {'2023-01-11': 2.5999999046325684}, '12_months_later': {'2023-07-11': 2.9600000381469727}}
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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.
|
bbeu
|
{'date': '2022-07-11', 'ticker': 'bbeu', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.77999877929688, 'high': 45.18000030517578, 'open': 45.0, 'close': 44.81999969482422, 'ema_50': 48.91169797052707, 'rsi_14': 34.530159721914586, 'target': 44.81999969482422, 'volume': 1863900.0, 'ema_200': 53.496681870370104, 'adj_close': 42.91818237304688, 'rsi_lag_1': 38.43536355768692, 'rsi_lag_2': 31.707315738286454, 'rsi_lag_3': 35.93538936884954, 'rsi_lag_4': 32.999992370605426, 'rsi_lag_5': 31.35390460450155, 'macd_lag_1': -1.3319763769987674, 'macd_lag_2': -1.382260125644116, 'macd_lag_3': -1.4212440406777347, 'macd_lag_4': -1.3872014992588078, 'macd_lag_5': -1.3205189397846553, 'macd_12_26_9': -1.3348370544751802, 'macds_12_26_9': -1.3302625073748444}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 44.81999969482422, '2022-07-13': 44.86000061035156, '2022-07-14': 44.119998931884766, '2022-07-15': 44.97999954223633, '2022-07-18': 45.25, '2022-07-19': 46.720001220703125, '2022-07-20': 46.150001525878906, '2022-07-21': 46.709999084472656, '2022-07-22': 46.4900016784668, '2022-07-25': 46.95000076293945}, '1_month_later': {'2022-08-11': 48.7599983215332}, '3_months_later': {'2022-10-11': 40.119998931884766}, '6_months_later': {'2023-01-11': 51.70000076293945}, '12_months_later': {'2023-07-11': 53.38999938964844}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBGI
|
{'date': '2022-07-11', 'ticker': 'BBGI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.309999942779541, 'high': 1.3600000143051147, 'open': 1.3600000143051147, 'close': 1.3200000524520874, 'ema_50': 1.4345115824646042, 'rsi_14': 51.51516793516171, 'target': 1.2400000095367432, 'volume': 2200.0, 'ema_200': 1.8148719747707032, 'adj_close': 1.3200000524520874, 'rsi_lag_1': 48.57143051770189, 'rsi_lag_2': 44.11763571538014, 'rsi_lag_3': 40.62499185092881, 'rsi_lag_4': 44.827572032193075, 'rsi_lag_5': 29.032263026400244, 'macd_lag_1': -0.047167383658060835, 'macd_lag_2': -0.05234130099142864, 'macd_lag_3': -0.05614739908686106, 'macd_lag_4': -0.057134132309536456, 'macd_lag_5': -0.060617063330752785, 'macd_12_26_9': -0.04257622467997435, 'macds_12_26_9': -0.052925725761723004}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 1.2400000095367432, '2022-07-13': 1.2699999809265137, '2022-07-14': 1.2999999523162842, '2022-07-15': 1.25, '2022-07-18': 1.25, '2022-07-19': 1.2799999713897705, '2022-07-20': 1.3200000524520874, '2022-07-21': 1.2899999618530271, '2022-07-22': 1.2699999809265137, '2022-07-25': 1.2699999809265137}, '1_month_later': {'2022-08-11': 1.3200000524520874}, '3_months_later': {'2022-10-11': 1.059999942779541}, '6_months_later': {'2023-01-11': 1.0099999904632568}, '12_months_later': {'2023-07-11': 0.949999988079071}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBH
|
{'date': '2022-07-11', 'ticker': 'BBH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/biotech-stocks-etfs-could-be-due-for-second-half-rallies', 'news_author': None, 'news_article': 'Biotechnology stocks and the related exchange traded funds are in a prolonged slump, and along the way, calls for rebounds have been plentiful. They’ve also proven inaccurate.\nNo, biotech stocks and ETFs such as the VanEck Vectors Biotech ETF (BBH) won’t be out of favor permanently. Pinpointing exactly when the group will materially recover, well, that’s another matter altogether. Still, there’s optimism that, with the current biotech slump more than a year old, which is lengthy by historical standards. Some market observers believe a turnaround may already be in the works.\n“The sector is positioned well to outperform for a variety of fundamental reasons. Biotechs—along with many other areas of healthcare—are largely recession-resistant. With an almost 40% decline in the sector from last year’s high, we are likely to see increased takeover activity,” reports Andrew Addison for Barron’s.\nUndoubtedly, consolidation speculation often tantalizes and disappoints biotech investors. Additionally, deal-making has been sluggish this year, but hope burns eternal, particularly amid recent news that Dow component Merck (NYSE:MRK) is moving on cancer biotech name Seagen (NASDAQ:SGEN) for $40 billion.\nBBH, which tracks the MVIS US Listed Biotech 25 Index, allocates 5.33% of its weight to Seagen. That’s enough to have the ETF higher by almost 7% over the past week on the back of the Merck takeover rumor. Biotech stocks and BBH could also be beneficiaries of favorable technical tailwinds.\n“Further evidence of the group’s strength is that volume flows have rocketed to new all-time highs (see above chart)—even as the Index is well below its 5500 price high from last year. This is evidence of strong buying pressure. I expect that biotechs are positioned to outperform the market for the balance of 2022,” says Addison in reference to a widely followed biotech index.\nThe ETF offers ample promise for long-term investors willing to wait out a BBH rebound. That potential could be amplified as biotech companies further refine advanced concepts, including precision medicine, platform-based therapeutics, new delivery methods, small molecules, immune-oncology, machine learning-based drug discovery, and more.\n“Gene therapies have transformed patient treatment, offering, in some cases, excellent outcomes for genetic disorders. According to a McKinsey analysis of pharmaceutical industry data from Evaluate, roughly 400 gene therapies are currently in development; by 2025, they could comprise around 20 percent of new product launches. The field continues to evolve, with gene editing enabling permanent and precise genetic deletions and ex vivo modifications,” notes McKinsey.\nFor more news, information, and strategy, visit the Beyond Basic Beta 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': 'No, biotech stocks and ETFs such as the VanEck Vectors Biotech ETF (BBH) won’t be out of favor permanently. BBH, which tracks the MVIS US Listed Biotech 25 Index, allocates 5.33% of its weight to Seagen. Biotech stocks and BBH could also be beneficiaries of favorable technical tailwinds.', 'news_luhn_summary': 'No, biotech stocks and ETFs such as the VanEck Vectors Biotech ETF (BBH) won’t be out of favor permanently. BBH, which tracks the MVIS US Listed Biotech 25 Index, allocates 5.33% of its weight to Seagen. Biotech stocks and BBH could also be beneficiaries of favorable technical tailwinds.', 'news_article_title': 'Biotech Stocks, ETFs Could Be Due for Second Half Rallies', 'news_lexrank_summary': 'No, biotech stocks and ETFs such as the VanEck Vectors Biotech ETF (BBH) won’t be out of favor permanently. BBH, which tracks the MVIS US Listed Biotech 25 Index, allocates 5.33% of its weight to Seagen. Biotech stocks and BBH could also be beneficiaries of favorable technical tailwinds.', 'news_textrank_summary': 'No, biotech stocks and ETFs such as the VanEck Vectors Biotech ETF (BBH) won’t be out of favor permanently. BBH, which tracks the MVIS US Listed Biotech 25 Index, allocates 5.33% of its weight to Seagen. Biotech stocks and BBH could also be beneficiaries of favorable technical tailwinds.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 154.05999755859375, 'high': 156.60000610351562, 'open': 156.60000610351562, 'close': 154.44000244140625, 'ema_50': 148.11141679137367, 'rsi_14': 77.48984216711868, 'target': 153.38999938964844, 'volume': 23900.0, 'ema_200': 163.45036925068254, 'adj_close': 153.060546875, 'rsi_lag_1': 86.15245149270686, 'rsi_lag_2': 78.34656276380716, 'rsi_lag_3': 77.49643925505873, 'rsi_lag_4': 77.90502900447107, 'rsi_lag_5': 64.04493665233423, 'macd_lag_1': 2.6990528695976934, 'macd_lag_2': 2.187804423949075, 'macd_lag_3': 1.5350062767568886, 'macd_lag_4': 1.11016156984644, 'macd_lag_5': 0.5517574301919979, 'macd_12_26_9': 2.8646288793821952, 'macds_12_26_9': 1.3046341735461615}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 153.38999938964844, '2022-07-13': 152.3800048828125, '2022-07-14': 149.6199951171875, '2022-07-15': 152.6300048828125, '2022-07-18': 148.63999938964844, '2022-07-19': 152.8000030517578, '2022-07-20': 153.07000732421875, '2022-07-21': 154.42999267578125, '2022-07-22': 151.57000732421875, '2022-07-25': 152.13999938964844}, '1_month_later': {'2022-08-11': 160.32000732421875}, '3_months_later': {'2022-10-11': 142.86000061035156}, '6_months_later': {'2023-01-11': 167.25}, '12_months_later': {'2023-07-11': 155.3800048828125}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBIO
|
{'date': '2022-07-11', 'ticker': 'BBIO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.09000015258789, 'high': 10.140000343322754, 'open': 9.880000114440918, 'close': 9.149999618530272, 'ema_50': 8.65950001439516, 'rsi_14': 62.37623185865036, 'target': 9.59000015258789, 'volume': 1725800.0, 'ema_200': 19.497845016882255, 'adj_close': 9.149999618530272, 'rsi_lag_1': 78.46889500943942, 'rsi_lag_2': 81.18812722583041, 'rsi_lag_3': 82.93076292727997, 'rsi_lag_4': 86.77811708743802, 'rsi_lag_5': 75.38940958053482, 'macd_lag_1': 0.7836501138910741, 'macd_lag_2': 0.7891465194316929, 'macd_lag_3': 0.7398833823895696, 'macd_lag_4': 0.6580983187709819, 'macd_lag_5': 0.524793086567561, 'macd_12_26_9': 0.6962252690929063, 'macds_12_26_9': 0.5837531786905884}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 9.59000015258789, '2022-07-13': 9.93000030517578, '2022-07-14': 9.479999542236328, '2022-07-15': 8.989999771118164, '2022-07-18': 8.760000228881836, '2022-07-19': 9.579999923706056, '2022-07-20': 9.8100004196167, '2022-07-21': 9.890000343322754, '2022-07-22': 10.149999618530272, '2022-07-25': 11.029999732971191}, '1_month_later': {'2022-08-11': 10.880000114440918}, '3_months_later': {'2022-10-11': 10.59000015258789}, '6_months_later': {'2023-01-11': 7.989999771118164}, '12_months_later': {'2023-07-11': 17.809999465942383}}
|
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.
|
BBJP
|
{'date': '2022-07-11', 'ticker': 'BBJP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.119998931884766, 'high': 44.52000045776367, 'open': 44.43000030517578, 'close': 44.15999984741211, 'ema_50': 45.84395658228053, 'rsi_14': 57.88336256835348, 'target': 44.20000076293945, 'volume': 403300.0, 'ema_200': 50.27273960597389, 'adj_close': 42.17277145385742, 'rsi_lag_1': 59.16112076246751, 'rsi_lag_2': 49.89776774047594, 'rsi_lag_3': 47.64955976114128, 'rsi_lag_4': 45.32521081637653, 'rsi_lag_5': 38.25040895112217, 'macd_lag_1': -0.526921752470308, 'macd_lag_2': -0.6083946153040003, 'macd_lag_3': -0.6790980924235086, 'macd_lag_4': -0.6932816756040268, 'macd_lag_5': -0.708428229964106, 'macd_12_26_9': -0.5065435353866263, 'macds_12_26_9': -0.6348925749415011}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 44.20000076293945, '2022-07-13': 43.9900016784668, '2022-07-14': 43.54999923706055, '2022-07-15': 43.97999954223633, '2022-07-18': 44.09000015258789, '2022-07-19': 44.720001220703125, '2022-07-20': 44.88999938964844, '2022-07-21': 45.4900016784668, '2022-07-22': 45.59000015258789, '2022-07-25': 45.630001068115234}, '1_month_later': {'2022-08-11': 46.970001220703125}, '3_months_later': {'2022-10-11': 41.06999969482422}, '6_months_later': {'2023-01-11': 45.5099983215332}, '12_months_later': {'2023-07-11': 51.4900016784668}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBN
|
{'date': '2022-07-11', 'ticker': 'BBN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.36000061035156, 'high': 18.920000076293945, 'open': 18.38999938964844, 'close': 18.71999931335449, 'ema_50': 19.30573670038324, 'rsi_14': 60.62175602544182, 'target': 18.88999938964844, 'volume': 395000.0, 'ema_200': 21.96081488236632, 'adj_close': 16.772836685180664, 'rsi_lag_1': 57.894731280512254, 'rsi_lag_2': 55.29099928398752, 'rsi_lag_3': 62.931058107274154, 'rsi_lag_4': 61.344525244041634, 'rsi_lag_5': 48.02631303764415, 'macd_lag_1': -0.20722669116025827, 'macd_lag_2': -0.1832673145471695, 'macd_lag_3': -0.1663116246495555, 'macd_lag_4': -0.1829783485475538, 'macd_lag_5': -0.25657136281304815, 'macd_12_26_9': -0.1837506849037318, 'macds_12_26_9': -0.2624966855338135}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 18.88999938964844, '2022-07-13': 19.290000915527344, '2022-07-14': 19.11000061035156, '2022-07-15': 19.270000457763672, '2022-07-18': 19.229999542236328, '2022-07-19': 19.280000686645508, '2022-07-20': 19.200000762939453, '2022-07-21': 19.420000076293945, '2022-07-22': 19.280000686645508, '2022-07-25': 19.559999465942383}, '1_month_later': {'2022-08-11': 19.8700008392334}, '3_months_later': {'2022-10-11': 16.1299991607666}, '6_months_later': {'2023-01-11': 18.07999992370605}, '12_months_later': {'2023-07-11': 16.389999389648438}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBU
|
{'date': '2022-07-11', 'ticker': 'BBU', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.11000061035156, 'high': 20.01700019836425, 'open': 20.0, 'close': 19.36000061035156, 'ema_50': 22.980345766092476, 'rsi_14': 26.94098737328639, 'target': 19.5, 'volume': 15000.0, 'ema_200': 26.107876824838005, 'adj_close': 18.951818466186523, 'rsi_lag_1': 40.165166132694736, 'rsi_lag_2': 31.69430891369241, 'rsi_lag_3': 40.2900039510075, 'rsi_lag_4': 42.515598822281476, 'rsi_lag_5': 40.85914144923813, 'macd_lag_1': -0.8524027656452056, 'macd_lag_2': -0.804996942730785, 'macd_lag_3': -0.7358354431387504, 'macd_lag_4': -0.6312571279595502, 'macd_lag_5': -0.5125225823235731, 'macd_12_26_9': -0.9372659309238642, 'macds_12_26_9': -0.6857124680037038}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 19.5, '2022-07-13': 19.350000381469727, '2022-07-14': 18.57999992370605, '2022-07-15': 19.170000076293945, '2022-07-18': 19.21999931335449, '2022-07-19': 20.020000457763672, '2022-07-20': 20.020000457763672, '2022-07-21': 19.989999771118164, '2022-07-22': 19.979999542236328, '2022-07-25': 20.170000076293945}, '1_month_later': {'2022-08-11': 25.059999465942383}, '3_months_later': {'2022-10-11': 18.64999961853028}, '6_months_later': {'2023-01-11': 18.38999938964844}, '12_months_later': {'2023-07-11': 17.924999237060547}}
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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.
|
BBUS
|
{'date': '2022-07-11', 'ticker': 'BBUS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 68.94000244140625, 'high': 69.56999969482422, 'open': 69.43000030517578, 'close': 69.05999755859375, 'ema_50': 71.45121824758712, 'rsi_14': 65.47859616246701, 'target': 68.44999694824219, 'volume': 40600.0, 'ema_200': 76.37616562946582, 'adj_close': 67.41014099121094, 'rsi_lag_1': 72.42885845480673, 'rsi_lag_2': 58.22340499057565, 'rsi_lag_3': 57.92737276515861, 'rsi_lag_4': 56.08467957878194, 'rsi_lag_5': 44.23631559535398, 'macd_lag_1': -0.7006804517431817, 'macd_lag_2': -0.8436453420852956, 'macd_lag_3': -1.0189405442342263, 'macd_lag_4': -1.1178961897171575, 'macd_lag_5': -1.2096119652106552, 'macd_12_26_9': -0.6500878883621226, 'macds_12_26_9': -0.9981765591161714}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 68.44999694824219, '2022-07-13': 68.12000274658203, '2022-07-14': 67.83999633789062, '2022-07-15': 69.16999816894531, '2022-07-18': 68.63999938964844, '2022-07-19': 70.54000091552734, '2022-07-20': 71.05999755859375, '2022-07-21': 71.73999786376953, '2022-07-22': 71.01000213623047, '2022-07-25': 71.08000183105469}, '1_month_later': {'2022-08-11': 75.69000244140625}, '3_months_later': {'2022-10-11': 64.30999755859375}, '6_months_later': {'2023-01-11': 70.86000061035156}, '12_months_later': {'2023-07-11': 79.68000030517578}}
|
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.
|
BBCA
|
{'date': '2022-07-11', 'ticker': 'BBCA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 57.91999816894531, 'high': 58.40999984741211, 'open': 58.209999084472656, 'close': 58.06999969482422, 'ema_50': 62.0878958811381, 'rsi_14': 48.347505462687664, 'target': 57.59000015258789, 'volume': 250500.0, 'ema_200': 64.31754909936105, 'adj_close': 55.64838790893555, 'rsi_lag_1': 49.373187146280856, 'rsi_lag_2': 40.99430189509865, 'rsi_lag_3': 37.043484548988495, 'rsi_lag_4': 35.52962084968793, 'rsi_lag_5': 33.2812587544301, 'macd_lag_1': -1.3829866494216034, 'macd_lag_2': -1.4720974497509616, 'macd_lag_3': -1.5552592564569352, 'macd_lag_4': -1.5176185131118984, 'macd_lag_5': -1.4800825730701632, 'macd_12_26_9': -1.3660140009930615, 'macds_12_26_9': -1.435507361258393}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 57.59000015258789, '2022-07-13': 57.47999954223633, '2022-07-14': 56.0, '2022-07-15': 56.56999969482422, '2022-07-18': 57.34999847412109, '2022-07-19': 58.88999938964844, '2022-07-20': 59.09000015258789, '2022-07-21': 59.22999954223633, '2022-07-22': 58.83000183105469, '2022-07-25': 59.63999938964844}, '1_month_later': {'2022-08-11': 62.61000061035156}, '3_months_later': {'2022-10-11': 52.77999877929688}, '6_months_later': {'2023-01-11': 59.58000183105469}, '12_months_later': {'2023-07-11': 60.38999938964844}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBW
|
{'date': '2022-07-11', 'ticker': 'BBW', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.0, 'high': 15.56999969482422, 'open': 15.239999771118164, 'close': 14.779999732971191, 'ema_50': 17.53339482283164, 'rsi_14': 28.632476136071105, 'target': 15.510000228881836, 'volume': 576200.0, 'ema_200': 17.289340922531302, 'adj_close': 13.866525650024414, 'rsi_lag_1': 36.41704261634367, 'rsi_lag_2': 31.508684034481007, 'rsi_lag_3': 32.1428769660058, 'rsi_lag_4': 38.69427844588905, 'rsi_lag_5': 33.617032040859954, 'macd_lag_1': -0.8073515678581487, 'macd_lag_2': -0.7893203018217001, 'macd_lag_3': -0.7426066567972178, 'macd_lag_4': -0.6049815231305864, 'macd_lag_5': -0.5549220447508354, 'macd_12_26_9': -0.8665230790647378, 'macds_12_26_9': -0.6547567710510787}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 15.510000228881836, '2022-07-13': 15.550000190734863, '2022-07-14': 15.479999542236328, '2022-07-15': 15.93000030517578, '2022-07-18': 16.110000610351562, '2022-07-19': 16.690000534057617, '2022-07-20': 17.170000076293945, '2022-07-21': 17.149999618530273, '2022-07-22': 16.770000457763672, '2022-07-25': 16.540000915527344}, '1_month_later': {'2022-08-11': 17.610000610351562}, '3_months_later': {'2022-10-11': 14.289999961853027}, '6_months_later': {'2023-01-11': 23.81999969482422}, '12_months_later': {'2023-07-11': 21.90999984741211}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BC
|
{'date': '2022-07-11', 'ticker': 'BC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 68.37999725341797, 'high': 69.94999694824219, 'open': 69.8499984741211, 'close': 69.11000061035156, 'ema_50': 71.6024567957634, 'rsi_14': 66.25077043527511, 'target': 70.7300033569336, 'volume': 630900.0, 'ema_200': 83.19991041036226, 'adj_close': 67.1063461303711, 'rsi_lag_1': 71.80588353555751, 'rsi_lag_2': 58.98081796933462, 'rsi_lag_3': 52.918072203529306, 'rsi_lag_4': 58.50531036713019, 'rsi_lag_5': 45.161276866616106, 'macd_lag_1': -0.8970130859303538, 'macd_lag_2': -1.1718760813288611, 'macd_lag_3': -1.512782985018461, 'macd_lag_4': -1.6957907357112703, 'macd_lag_5': -2.001436865617265, 'macd_12_26_9': -0.7368552949809697, 'macds_12_26_9': -1.4885535794349287}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 70.7300033569336, '2022-07-13': 71.45999908447266, '2022-07-14': 69.66000366210938, '2022-07-15': 71.36000061035156, '2022-07-18': 70.98999786376953, '2022-07-19': 74.05000305175781, '2022-07-20': 74.97000122070312, '2022-07-21': 76.75, '2022-07-22': 76.98999786376953, '2022-07-25': 76.63999938964844}, '1_month_later': {'2022-08-11': 83.88999938964844}, '3_months_later': {'2022-10-11': 68.55000305175781}, '6_months_later': {'2023-01-11': 78.66999816894531}, '12_months_later': {'2023-07-11': 88.27999877929688}}
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YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCBP
|
{'date': '2022-07-11', 'ticker': 'BCBP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.399999618530273, 'high': 17.690000534057617, 'open': 17.489999771118164, 'close': 17.469999313354492, 'ema_50': 18.034785833998217, 'rsi_14': 44.786727394432624, 'target': 17.579999923706055, 'volume': 110800.0, 'ema_200': 17.084510142783635, 'adj_close': 16.315889358520508, 'rsi_lag_1': 48.98421895834706, 'rsi_lag_2': 42.00912565940684, 'rsi_lag_3': 47.302903086540184, 'rsi_lag_4': 54.95496037311859, 'rsi_lag_5': 43.49592187934314, 'macd_lag_1': -0.38499061777180543, 'macd_lag_2': -0.43535278672980837, 'macd_lag_3': -0.45970063723093446, 'macd_lag_4': -0.4606726583013092, 'macd_lag_5': -0.5101945288368057, 'macd_12_26_9': -0.3467298939151142, 'macds_12_26_9': -0.4243960427412132}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 17.579999923706055, '2022-07-13': 17.389999389648438, '2022-07-14': 17.010000228881836, '2022-07-15': 17.56999969482422, '2022-07-18': 17.520000457763672, '2022-07-19': 17.8700008392334, '2022-07-20': 17.709999084472656, '2022-07-21': 18.549999237060547, '2022-07-22': 18.63999938964844, '2022-07-25': 19.700000762939453}, '1_month_later': {'2022-08-11': 19.520000457763672}, '3_months_later': {'2022-10-11': 16.59000015258789}, '6_months_later': {'2023-01-11': 18.13999938964844}, '12_months_later': {'2023-07-11': 11.6899995803833}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCDA
|
{'date': '2022-07-11', 'ticker': 'BCDA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.4900000095367432, 'high': 1.6399999856948853, 'open': 1.6399999856948853, 'close': 1.5, 'ema_50': 1.554641210985344, 'rsi_14': 61.76470278868873, 'target': 1.5199999809265137, 'volume': 28200.0, 'ema_200': 2.059700808008033, 'adj_close': 1.5, 'rsi_lag_1': 65.62498952263056, 'rsi_lag_2': 64.51612034896755, 'rsi_lag_3': 55.88234056652396, 'rsi_lag_4': 52.777772258834894, 'rsi_lag_5': 52.77777225883492, 'macd_lag_1': -0.014781624957449502, 'macd_lag_2': -0.020903575692345466, 'macd_lag_3': -0.025358816442402565, 'macd_lag_4': -0.029658287367963387, 'macd_lag_5': -0.03471458244214576, 'macd_12_26_9': -0.012209933353424685, 'macds_12_26_9': -0.02471043336875769}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 1.5199999809265137, '2022-07-13': 1.5499999523162842, '2022-07-14': 1.600000023841858, '2022-07-15': 1.5299999713897705, '2022-07-18': 1.5199999809265137, '2022-07-19': 1.5199999809265137, '2022-07-20': 1.5199999809265137, '2022-07-21': 1.5299999713897705, '2022-07-22': 1.559999942779541, '2022-07-25': 1.5499999523162842}, '1_month_later': {'2022-08-11': 1.5800000429153442}, '3_months_later': {'2022-10-11': 2.0999999046325684}, '6_months_later': {'2023-01-11': 2.309999942779541}, '12_months_later': {'2023-07-11': 2.8499999046325684}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCE
|
{'date': '2022-07-11', 'ticker': 'BCE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, '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/rogers-falls-as-massive-outage-raises-concerns-over-c%2420-bln-shaw-ma', 'news_author': None, 'news_article': 'By Tiyashi Datta and Divya Rajagopal\nJuly 11 (Reuters) - Shares of Rogers Communications Inc RCIb.TO, RCI.N slipped on Monday as analysts voiced concerns over increased risk to the Canadian telecom operator\'s C$20 billion ($15.40 billion) deal for rival Shaw Communications SJRb.TO following last week\'s 19-hour outage.\nThe unprecedented outage on Friday affected nearly every facet of daily life in Canada as access to internet and phone services, both mobile and landline, was cut off. Some callers could not reach emergency services via 911 calls, police across Canada said.\nOn Monday Canadian payment gateway Interac said it was adding another network provider to its system after the Rogers outage left millions of Canadians locked out of online payments.\n"We are adding a supplier (besides Rogers) to strengthen our existing network redundancy so Canadians can continue to rely on Interac daily," Interac told Reuters in a statement.\nRogers\' Canadian-listed shares fell nearly 4.61% and Shaw dropped 1.8% at a near one-month low of C$35.56, while the benchmark Canadian share index was down 1.1% by afternoon.\nIndustry Minister François-Philippe Champagne was expected to meet the CEOs of Rogers, BCE Inc BCE.TO and Telus Corp T.TO, which control 90% of the Canadian telecommunications market, on Monday to discuss how to improve network reliability across Canada.\n"This isn\'t just about checking off a box. The minister will have some ideas and, hopefully, some solutions will come out of it," said a ministry official, who did not wish to be quoted due to the sensitivity of the issue.\nFriday\'s disruption came two days after Rogers held talks with Canada\'s antitrust authority to discuss possible remedies to its blocked takeover of Shaw.\nCanada\'s competition bureau blocked the deal earlier this year, saying it would hamper competition in a country where telecom rates are some of the world\'s highest. The merger still awaits a final verdict.\n"The incident is likely to introduce incremental regulatory risk to the Shaw transaction," BMO analyst Tim Casey said, adding that it would also raise investor concerns over Rogers\' ability to execute on deal synergies.\nRogers\' second outage in 15 months has led consumers and politicians to call on the government to allow more competition in the sector.[nL1N2YS060]\nRogers said on Saturday that its services were close to fully operational and narrowed the cause to a network system failure following a maintenance update.\nScotiabank analysts said increased political and regulatory risk is a possibility after the outage but said the oversight needs to balance the risk of future failures against the increased consumer/economic costs in building other parallel networks.\n($1 = 1.2985 Canadian dollars)\n(Reporting by Tiyashi Datta and Akash Sriram in Bengaluru; Divya Rajagopal in Toronto Additional reporting by Steve Scherer and Ismail Shakil in Ottawa Editing by Ankur Banerjee and Anil D\'Silva)\n(([email protected];))\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Industry Minister François-Philippe Champagne was expected to meet the CEOs of Rogers, BCE Inc BCE.TO and Telus Corp T.TO, which control 90% of the Canadian telecommunications market, on Monday to discuss how to improve network reliability across Canada. Friday\'s disruption came two days after Rogers held talks with Canada\'s antitrust authority to discuss possible remedies to its blocked takeover of Shaw. "The incident is likely to introduce incremental regulatory risk to the Shaw transaction," BMO analyst Tim Casey said, adding that it would also raise investor concerns over Rogers\' ability to execute on deal synergies.', 'news_luhn_summary': "Industry Minister François-Philippe Champagne was expected to meet the CEOs of Rogers, BCE Inc BCE.TO and Telus Corp T.TO, which control 90% of the Canadian telecommunications market, on Monday to discuss how to improve network reliability across Canada. By Tiyashi Datta and Divya Rajagopal July 11 (Reuters) - Shares of Rogers Communications Inc RCIb.TO, RCI.N slipped on Monday as analysts voiced concerns over increased risk to the Canadian telecom operator's C$20 billion ($15.40 billion) deal for rival Shaw Communications SJRb.TO following last week's 19-hour outage. On Monday Canadian payment gateway Interac said it was adding another network provider to its system after the Rogers outage left millions of Canadians locked out of online payments.", 'news_article_title': 'Rogers falls as massive outage raises concerns over C$20 bln Shaw M&A', 'news_lexrank_summary': "Industry Minister François-Philippe Champagne was expected to meet the CEOs of Rogers, BCE Inc BCE.TO and Telus Corp T.TO, which control 90% of the Canadian telecommunications market, on Monday to discuss how to improve network reliability across Canada. By Tiyashi Datta and Divya Rajagopal July 11 (Reuters) - Shares of Rogers Communications Inc RCIb.TO, RCI.N slipped on Monday as analysts voiced concerns over increased risk to the Canadian telecom operator's C$20 billion ($15.40 billion) deal for rival Shaw Communications SJRb.TO following last week's 19-hour outage. The unprecedented outage on Friday affected nearly every facet of daily life in Canada as access to internet and phone services, both mobile and landline, was cut off.", 'news_textrank_summary': "Industry Minister François-Philippe Champagne was expected to meet the CEOs of Rogers, BCE Inc BCE.TO and Telus Corp T.TO, which control 90% of the Canadian telecommunications market, on Monday to discuss how to improve network reliability across Canada. By Tiyashi Datta and Divya Rajagopal July 11 (Reuters) - Shares of Rogers Communications Inc RCIb.TO, RCI.N slipped on Monday as analysts voiced concerns over increased risk to the Canadian telecom operator's C$20 billion ($15.40 billion) deal for rival Shaw Communications SJRb.TO following last week's 19-hour outage. On Monday Canadian payment gateway Interac said it was adding another network provider to its system after the Rogers outage left millions of Canadians locked out of online payments."}, {'news_url': 'https://www.nasdaq.com/articles/nice-nice-launches-upgraded-cxone-bolsters-portfolio', 'news_author': None, 'news_article': 'Nice NICE recently announced the Summer 2022 release of CXone with new capabilities, which enhance journey orchestration and complete performance.\nThe updated version of CXone will enable companies to offer a complete CXi experience to customers by utilizing digitalization, AI and automation. CXone is the only digital cloud platform offering intent-based intelligent-virtual agents (IVA), which separates Nice from its peers.\nThe recent upgrade bodes well for users as it offers Conversational AI and Chatbots that facilitate more natural and personalized assistance. The latest offering provides a frictionless customer experience, which drives positive experiences for agents and customers alike.\nThe growing adoption of the CX cloud platform has contributed to Nice\'s top-line growth positively, as evident from its first-quarter 2022 Cloud revenues (55.9% of revenues), which increased 29.2% year over year to $294.6 million.\nNICE\'s shares have lost 32.6% year to date despite reporting impressive first-quarter 2022 results that benefited from a strong product portfolio and an expanding partner base.\nThe company\'s shares have suffered from bearish investor sentiments regarding the prospects of Internet-based stocks as economies started reopening after coronavirus-induced lockdowns and restrictions were lifted globally. Macro-economic challenges, including rising inflation and the Russia-Ukraine conflict, have reflected negatively on the share price.\nNevertheless, the stock has outperformed the Zacks Internet Software industry, which declined 48.6% over the same time frame. The outperformance can be attributed to an expanding partner base, a strong product portfolio and an innovative product pipeline.\nNice Price and Consensus\nNice price-consensus-chart | Nice Quote\nExpanding Product Portfolio to Drive Growth\nCXone has become an important solution for NICE. The company had previously launched CXone in Singapore, which has been helping the company witness an increasing pipeline. Availability of the solution provides Asia-Pacific companies with tools to eliminate friction and deliver customized digital customer experiences.\nNICE\'s partnership with Alphabet GOOGL and BCE BCE has been aiding in the growing adoption of CXone.\nNICE entered into a partnership with Google. Per the agreement, NICE\'s AI-powered CXone was integrated with Google Cloud\'s Contact Center Artificial Intelligence ("CCAI") applications to make self-service bots and agent-facing virtual assistants more effective.\nNICE recently expanded its partnership with Google, adding CXone to Google\'s Chrome Enterprise Recommended program.\nPreviously BCE, Canada\'s largest communications company, entered into an agreement with NICE to expand access to its CXone for Contact Center as a Service in the country.\nAlong with CXone, the company\'s other solutions like Inform Elite, Nexidia, Actimize, Robotic Process Automation and Investigate have also been gaining traction in recent times.\nAs a testament to the rising adoption of Nice\'s expanding portfolio in March, NICE announced that its next-generation NTR-X solution is available for compliance recording capture for communications via Zoom ZM, including Zoom Meetings and Zoom Phone.\nNICE has collaborated with Zoom to create and utilize new APIs for financial markets\' compliance recording.\nThe expanding availability of NICE products on different platforms is helping the company win customers frequently, which will drive the company\'s top-line growth in the coming quarters. This will impact Nice\'s share price movement positively in the long run.\nNice currently carries a Zacks Rank #3 (Hold). You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nBCE, Inc. (BCE): Free Stock Analysis Report\n \nNice (NICE): Free Stock Analysis Report\n \nAlphabet Inc. (GOOGL): Free Stock Analysis Report\n \nZoom Video Communications, Inc. (ZM): 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': "Previously BCE, Canada's largest communications company, entered into an agreement with NICE to expand access to its CXone for Contact Center as a Service in the country. NICE's partnership with Alphabet GOOGL and BCE BCE has been aiding in the growing adoption of CXone. BCE, Inc. (BCE): Free Stock Analysis Report", 'news_luhn_summary': "NICE's partnership with Alphabet GOOGL and BCE BCE has been aiding in the growing adoption of CXone. Previously BCE, Canada's largest communications company, entered into an agreement with NICE to expand access to its CXone for Contact Center as a Service in the country. BCE, Inc. (BCE): Free Stock Analysis Report", 'news_article_title': 'Nice (NICE) Launches Upgraded CXone, Bolsters Portfolio', 'news_lexrank_summary': "Previously BCE, Canada's largest communications company, entered into an agreement with NICE to expand access to its CXone for Contact Center as a Service in the country. NICE's partnership with Alphabet GOOGL and BCE BCE has been aiding in the growing adoption of CXone. BCE, Inc. (BCE): Free Stock Analysis Report", 'news_textrank_summary': "NICE's partnership with Alphabet GOOGL and BCE BCE has been aiding in the growing adoption of CXone. Previously BCE, Canada's largest communications company, entered into an agreement with NICE to expand access to its CXone for Contact Center as a Service in the country. BCE, Inc. (BCE): Free Stock Analysis Report"}, {'news_url': 'https://www.nasdaq.com/articles/canadians-anger-over-rogers-outage-may-complicate-its-merger-hopes-0', 'news_author': None, 'news_article': 'By Divya Rajagopal\nTORONTO, July 10 (Reuters) - Rogers Communications RCIb.TO complicated its chances of getting antitrust approval for a C$20 billion telecom merger after Friday\'s massive outage highlighted the perils of Canada\'s effective telecom monopoly and sparked a backlash against its industry dominance.\nThe Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country\'s cashless payments system and Air Canada\'s AC.TO call center.\nConsumers and opposition politicians called on the government to allow more competition and enact policy changes to curb telecom companies\' power. Rogers, BCE Inc BCE.TO and Telus Corp T.TO control 90% of the market share in Canada.\nSmaller internet and wireless providers rely on their infrastructure network to deliver their own services.\n"The reality is in Canada there is a serious monopoly of our telecommunications," New Democratic Party leader Jagmeet Singh said in a TikTok video as he launched a petition to halt Rogers\' merger plans and "break up these monopolies".\n"The impact of this outage makes it clear this monopoly cannot continue," he added.\nIndustry Minister François-Philippe Champagne, calling the outage "unacceptable", said on Sunday that he would meet with Rogers CEO Tony Staffieri and other industry executives to discuss improving the "reliability of networks across Canada." High cellphone bills have been a hot-button issue in recent Canadian elections.\nThe disruption in internet access, cell phone and landline phone connections meant some callers could not reach emergency services via 911 calls, police across Canada said.\n"Because of the Rogers outage, millions of Canadians couldn\'t call 911 yesterday. Hospitals couldn\'t call in staff. There was no way to call families so that they could say goodbye to their loved ones at end of life," tweeted Amit Arya, director-at-large at the Canadian Society of Palliative Care Physicians.\nRogers, which blamed a router malfunction after maintenance for the disruption, said on Sunday it was aware that some customers were still facing disruptions. It did not comment on whether the outage could impact the merger proceedings.\nFriday\'s outage came two days after Rogers held talks with Canada\'s antitrust authority to discuss possible remedies to its blocked C$20 billion ($15.34 billion) takeover of Shaw Communications SJRb.TO.\nCanada\'s competition bureau blocked the deal earlier this year, saying it would hamper competition in a country where telecom rates are some of the world\'s highest. The merger still awaits a final verdict.\nThe disruption could prompt the Competition Bureau, which generally assesses mergers based on their impact on price, to look more closely at other considerations such as quality and service, said consumer rights groups.\n"It is a \'non-price effect\' (argument) - that is, concentration of ownership and control of critical infrastructure making an ever more central point of failure to deliver basic services," said John Lawford, executive director of the Ottawa-based Public Interest Advocacy Centre (PIAC), which has argued against the merger at the Competition Bureau.\nBut Vass Bedner, Executive Director of the Public Policy program in McMaster University, said the outage was a separate issue from Rogers\' merger plan.\n"I don’t think this issue will impact the merger because I am not sure how the Competition Bureau can account for risk of bigger outage,” Bedner said.\nUniversity of Ottawa professor Michael Geist, who focuses on the internet and e-commerce law, said the outage "must be a wake-up for a government that has been asleep on digital policy."\n"The blame for Friday\'s outage may lie with Rogers, but the government and (Canadian telecommunications regulator) should be held accountable for a failure to respond," he wrote on his blog.\nThe outage, which began around 4:30 a.m. ET (0830 GMT) on Friday before service was fully restored on Saturday, knocked out a quarter of Canada\'s observable internet connectivity, said the NetBlocks monitoring group.\nThe interruption was Rogers\' second in 15 months with an external software upgrade knocking out service primarily to consumer clients last year.\n(Reporting by Divya Rajagopal; writing by Amran Abocar; Editing by Chizu Nomiyama)\n(([email protected];))\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Rogers, BCE Inc BCE.TO and Telus Corp T.TO control 90% of the market share in Canada. The Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country's cashless payments system and Air Canada's AC.TO call center. The disruption could prompt the Competition Bureau, which generally assesses mergers based on their impact on price, to look more closely at other considerations such as quality and service, said consumer rights groups.", 'news_luhn_summary': 'Rogers, BCE Inc BCE.TO and Telus Corp T.TO control 90% of the market share in Canada. "Because of the Rogers outage, millions of Canadians couldn\'t call 911 yesterday. But Vass Bedner, Executive Director of the Public Policy program in McMaster University, said the outage was a separate issue from Rogers\' merger plan.', 'news_article_title': "Canadians' anger over Rogers outage may complicate its merger hopes", 'news_lexrank_summary': 'Rogers, BCE Inc BCE.TO and Telus Corp T.TO control 90% of the market share in Canada. "Because of the Rogers outage, millions of Canadians couldn\'t call 911 yesterday. But Vass Bedner, Executive Director of the Public Policy program in McMaster University, said the outage was a separate issue from Rogers\' merger plan.', 'news_textrank_summary': "Rogers, BCE Inc BCE.TO and Telus Corp T.TO control 90% of the market share in Canada. By Divya Rajagopal TORONTO, July 10 (Reuters) - Rogers Communications RCIb.TO complicated its chances of getting antitrust approval for a C$20 billion telecom merger after Friday's massive outage highlighted the perils of Canada's effective telecom monopoly and sparked a backlash against its industry dominance. The Rogers network outage disrupted nearly every aspect of daily life, cutting banking, transport and government access for millions, and hitting the country's cashless payments system and Air Canada's AC.TO call center."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 48.65999984741211, 'high': 49.04999923706055, 'open': 48.83000183105469, 'close': 48.77000045776367, 'ema_50': 51.37733412235146, 'rsi_14': 60.204099506619016, 'target': 48.790000915527344, 'volume': 868500.0, 'ema_200': 51.97049500833707, 'adj_close': 44.27685928344727, 'rsi_lag_1': 63.31569510648548, 'rsi_lag_2': 47.99463086153044, 'rsi_lag_3': 49.93563616118551, 'rsi_lag_4': 38.32997532342431, 'rsi_lag_5': 37.02622577305098, 'macd_lag_1': -0.953555064270617, 'macd_lag_2': -1.005590837237854, 'macd_lag_3': -1.0736715233836378, 'macd_lag_4': -1.121532059969148, 'macd_lag_5': -1.1591790732293674, 'macd_12_26_9': -0.9226601787431434, 'macds_12_26_9': -1.0915592507578546}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 48.790000915527344, '2022-07-13': 49.540000915527344, '2022-07-14': 48.84000015258789, '2022-07-15': 48.790000915527344, '2022-07-18': 48.810001373291016, '2022-07-19': 49.43000030517578, '2022-07-20': 49.13999938964844, '2022-07-21': 48.9900016784668, '2022-07-22': 49.11000061035156, '2022-07-25': 49.220001220703125}, '1_month_later': {'2022-08-11': 50.31999969482422}, '3_months_later': {'2022-10-11': 41.459999084472656}, '6_months_later': {'2023-01-11': 45.560001373291016}, '12_months_later': {'2023-07-11': 44.310001373291016}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCH
|
{'date': '2022-07-11', 'ticker': 'BCH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.549999237060547, 'high': 16.8700008392334, 'open': 16.829999923706055, 'close': 16.600000381469727, 'ema_50': 19.25314933053867, 'rsi_14': 26.666655512575076, 'target': 16.260000228881836, 'volume': 134700.0, 'ema_200': 19.661446212108494, 'adj_close': 14.915695190429688, 'rsi_lag_1': 27.737211796190635, 'rsi_lag_2': 27.68669708467276, 'rsi_lag_3': 29.233493344503145, 'rsi_lag_4': 33.33333333333336, 'rsi_lag_5': 37.184856608204, 'macd_lag_1': -0.7372656498012162, 'macd_lag_2': -0.6932468342798117, 'macd_lag_3': -0.6707610777699529, 'macd_lag_4': -0.5905591120478455, 'macd_lag_5': -0.5233841379688329, 'macd_12_26_9': -0.7952602395107, 'macds_12_26_9': -0.6155110289483372}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 16.260000228881836, '2022-07-13': 16.43000030517578, '2022-07-14': 16.010000228881836, '2022-07-15': 17.329999923706055, '2022-07-18': 18.13999938964844, '2022-07-19': 18.82999992370605, '2022-07-20': 18.86000061035156, '2022-07-21': 18.700000762939453, '2022-07-22': 18.350000381469727, '2022-07-25': 18.57999992370605}, '1_month_later': {'2022-08-11': 19.299999237060547}, '3_months_later': {'2022-10-11': 18.1200008392334}, '6_months_later': {'2023-01-11': 20.559999465942383}, '12_months_later': {'2023-07-11': 20.690000534057617}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCI
|
{'date': '2022-07-11', 'ticker': 'BCI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.790000915527344, 'high': 27.030000686645508, 'open': 26.989999771118164, 'close': 26.8799991607666, 'ema_50': 28.85727527880759, 'rsi_14': 29.88505171138341, 'target': 25.850000381469727, 'volume': 116200.0, 'ema_200': 27.877479316025415, 'adj_close': 22.410476684570312, 'rsi_lag_1': 25.598808764092738, 'rsi_lag_2': 23.889751203556955, 'rsi_lag_3': 12.807036975441733, 'rsi_lag_4': 11.478005669861474, 'rsi_lag_5': 12.829541153948398, 'macd_lag_1': -1.0414725596032, 'macd_lag_2': -1.064775957543386, 'macd_lag_3': -1.0566317926966349, 'macd_lag_4': -0.9300677104300732, 'macd_lag_5': -0.7835068213711409, 'macd_12_26_9': -1.0025714531757188, 'macds_12_26_9': -0.8479639413665369}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 25.850000381469727, '2022-07-13': 26.1299991607666, '2022-07-14': 25.89999961853028, '2022-07-15': 26.26000022888184, '2022-07-18': 26.93000030517578, '2022-07-19': 26.8799991607666, '2022-07-20': 27.040000915527344, '2022-07-21': 26.850000381469727, '2022-07-22': 26.82999992370605, '2022-07-25': 27.309999465942383}, '1_month_later': {'2022-08-11': 28.489999771118164}, '3_months_later': {'2022-10-11': 26.61000061035156}, '6_months_later': {'2023-01-11': 21.43000030517578}, '12_months_later': {'2023-07-11': 20.57999992370605}}
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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.
|
BCLI
|
{'date': '2022-07-11', 'ticker': 'BCLI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.7699999809265137, 'high': 2.8499999046325684, 'open': 2.7699999809265137, 'close': 2.789999961853028, 'ema_50': 2.900419312878155, 'rsi_14': 42.424227098888544, 'target': 2.630000114440918, 'volume': 30100.0, 'ema_200': 3.2982308202854793, 'adj_close': 2.789999961853028, 'rsi_lag_1': 53.246751236138806, 'rsi_lag_2': 43.75000372529164, 'rsi_lag_3': 37.50000827842533, 'rsi_lag_4': 36.98629779067636, 'rsi_lag_5': 35.99999745686853, 'macd_lag_1': -0.05295674350372659, 'macd_lag_2': -0.0605384631347361, 'macd_lag_3': -0.06322584982607538, 'macd_lag_4': -0.05657265612649276, 'macd_lag_5': -0.05133061001313033, 'macd_12_26_9': -0.048008594197173515, 'macds_12_26_9': -0.05051602192364394}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.630000114440918, '2022-07-13': 2.720000028610229, '2022-07-14': 2.650000095367432, '2022-07-15': 2.640000104904175, '2022-07-18': 2.640000104904175, '2022-07-19': 2.690000057220459, '2022-07-20': 2.700000047683716, '2022-07-21': 2.6600000858306885, '2022-07-22': 2.630000114440918, '2022-07-25': 2.5799999237060547}, '1_month_later': {'2022-08-11': 2.950000047683716}, '3_months_later': {'2022-10-11': 3.4600000381469727}, '6_months_later': {'2023-01-11': 1.7000000476837158}, '12_months_later': {'2023-07-11': 2.0}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCO
|
{'date': '2022-07-11', 'ticker': 'BCO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 58.41999816894531, 'high': 59.400001525878906, 'open': 59.13999938964844, 'close': 58.52999877929688, 'ema_50': 59.79777153052625, 'rsi_14': 65.19557877788904, 'target': 57.22999954223633, 'volume': 178900.0, 'ema_200': 64.27946920211946, 'adj_close': 57.38691329956055, 'rsi_lag_1': 73.97540615182334, 'rsi_lag_2': 59.669420289078346, 'rsi_lag_3': 62.7196364469297, 'rsi_lag_4': 58.72674311519808, 'rsi_lag_5': 55.21184521002897, 'macd_lag_1': 0.20758241240356767, 'macd_lag_2': 0.2189730245281325, 'macd_lag_3': 0.12545353407639936, 'macd_lag_4': 0.08470033534876364, 'macd_lag_5': 0.024325187894667977, 'macd_12_26_9': 0.12210447357509935, 'macds_12_26_9': -0.004294425756390669}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 57.22999954223633, '2022-07-13': 55.77999877929688, '2022-07-14': 54.75, '2022-07-15': 56.34999847412109, '2022-07-18': 55.16999816894531, '2022-07-19': 56.4900016784668, '2022-07-20': 55.790000915527344, '2022-07-21': 55.40999984741211, '2022-07-22': 54.77000045776367, '2022-07-25': 55.5099983215332}, '1_month_later': {'2022-08-11': 57.31999969482422}, '3_months_later': {'2022-10-11': 56.72999954223633}, '6_months_later': {'2023-01-11': 59.91999816894531}, '12_months_later': {'2023-07-11': 65.83000183105469}}
|
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.
|
BCOV
|
{'date': '2022-07-11', 'ticker': 'BCOV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.070000171661377, 'high': 6.440000057220459, 'open': 6.440000057220459, 'close': 6.150000095367432, 'ema_50': 6.848392367803312, 'rsi_14': 45.07042190459944, 'target': 6.119999885559082, 'volume': 70700.0, 'ema_200': 8.71053803258918, 'adj_close': 6.150000095367432, 'rsi_lag_1': 40.16736785674455, 'rsi_lag_2': 51.26354101341841, 'rsi_lag_3': 50.54944575094355, 'rsi_lag_4': 49.640288016581586, 'rsi_lag_5': 39.86486497371193, 'macd_lag_1': -0.11401989208053465, 'macd_lag_2': -0.11846408998524094, 'macd_lag_3': -0.1305588353248064, 'macd_lag_4': -0.13391523384020942, 'macd_lag_5': -0.1474513745018431, 'macd_12_26_9': -0.13795655802437157, 'macds_12_26_9': -0.12608877894591}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 6.119999885559082, '2022-07-13': 5.980000019073486, '2022-07-14': 5.920000076293945, '2022-07-15': 6.099999904632568, '2022-07-18': 6.0, '2022-07-19': 6.130000114440918, '2022-07-20': 6.179999828338623, '2022-07-21': 6.409999847412109, '2022-07-22': 6.050000190734863, '2022-07-25': 6.099999904632568}, '1_month_later': {'2022-08-11': 6.739999771118164}, '3_months_later': {'2022-10-11': 6.309999942779541}, '6_months_later': {'2023-01-11': 5.739999771118164}, '12_months_later': {'2023-07-11': 4.0}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCPC
|
{'date': '2022-07-11', 'ticker': 'BCPC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 127.86000061035156, 'high': 130.32000732421875, 'open': 129.72999572753906, 'close': 128.19000244140625, 'ema_50': 125.87737908743979, 'rsi_14': 76.43859550245165, 'target': 126.70999908447266, 'volume': 77800.0, 'ema_200': 134.11186483670272, 'adj_close': 126.75753021240234, 'rsi_lag_1': 84.14835357010168, 'rsi_lag_2': 78.87702708728024, 'rsi_lag_3': 79.30109551016912, 'rsi_lag_4': 73.60366514225971, 'rsi_lag_5': 73.573195511971, 'macd_lag_1': 2.282994760859978, 'macd_lag_2': 2.1950019752189576, 'macd_lag_3': 1.9438544802731457, 'macd_lag_4': 1.5553156746105117, 'macd_lag_5': 1.3279761604425318, 'macd_12_26_9': 2.152812676180133, 'macds_12_26_9': 1.357386818083168}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 126.70999908447266, '2022-07-13': 125.72000122070312, '2022-07-14': 128.1699981689453, '2022-07-15': 129.50999450683594, '2022-07-18': 126.36000061035156, '2022-07-19': 130.35000610351562, '2022-07-20': 130.89999389648438, '2022-07-21': 132.50999450683594, '2022-07-22': 133.1300048828125, '2022-07-25': 134.30999755859375}, '1_month_later': {'2022-08-11': 129.47999572753906}, '3_months_later': {'2022-10-11': 123.41999816894533}, '6_months_later': {'2023-01-11': 126.12000274658205}, '12_months_later': {'2023-07-11': 130.27000427246094}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCRX
|
{'date': '2022-07-11', 'ticker': 'BCRX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.079999923706056, 'high': 12.0, 'open': 11.989999771118164, 'close': 11.130000114440918, 'ema_50': 10.671137710814477, 'rsi_14': 64.95049392764541, 'target': 11.239999771118164, 'volume': 3323300.0, 'ema_200': 12.420499606249482, 'adj_close': 11.130000114440918, 'rsi_lag_1': 82.17390411968529, 'rsi_lag_2': 78.63246400237036, 'rsi_lag_3': 71.8137175268706, 'rsi_lag_4': 71.88263420164307, 'rsi_lag_5': 61.39535409814907, 'macd_lag_1': 0.48303178765754495, 'macd_lag_2': 0.4111396379319512, 'macd_lag_3': 0.32358075638919637, 'macd_lag_4': 0.28348079112714686, 'macd_lag_5': 0.2373388514838446, 'macd_12_26_9': 0.45806944966462027, 'macds_12_26_9': 0.31238425170525036}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.239999771118164, '2022-07-13': 11.970000267028809, '2022-07-14': 11.489999771118164, '2022-07-15': 11.649999618530272, '2022-07-18': 11.359999656677246, '2022-07-19': 11.829999923706056, '2022-07-20': 11.93000030517578, '2022-07-21': 11.649999618530272, '2022-07-22': 11.109999656677246, '2022-07-25': 10.899999618530272}, '1_month_later': {'2022-08-11': 14.369999885559082}, '3_months_later': {'2022-10-11': 13.789999961853027}, '6_months_later': {'2023-01-11': 10.020000457763672}, '12_months_later': {'2023-07-11': 7.190000057220459}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCSF
|
{'date': '2022-07-11', 'ticker': 'BCSF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.970000267028809, 'high': 14.260000228881836, 'open': 14.220000267028809, 'close': 14.010000228881836, 'ema_50': 14.424490894740433, 'rsi_14': 60.199009696171416, 'target': 14.06999969482422, 'volume': 127600.0, 'ema_200': 15.048483065918402, 'adj_close': 11.814067840576172, 'rsi_lag_1': 68.64864307567794, 'rsi_lag_2': 51.121080260442874, 'rsi_lag_3': 48.584918816256675, 'rsi_lag_4': 52.19299016126294, 'rsi_lag_5': 40.33899072188278, 'macd_lag_1': -0.14221545928635493, 'macd_lag_2': -0.18162012445079156, 'macd_lag_3': -0.216036780717884, 'macd_lag_4': -0.23951349741114747, 'macd_lag_5': -0.2609035636988377, 'macd_12_26_9': -0.1272719721540465, 'macds_12_26_9': -0.2096524501597785}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 14.06999969482422, '2022-07-13': 14.029999732971191, '2022-07-14': 13.850000381469728, '2022-07-15': 13.9399995803833, '2022-07-18': 14.0600004196167, '2022-07-19': 14.289999961853027, '2022-07-20': 14.15999984741211, '2022-07-21': 14.199999809265137, '2022-07-22': 14.25, '2022-07-25': 13.770000457763672}, '1_month_later': {'2022-08-11': 14.789999961853027}, '3_months_later': {'2022-10-11': 11.770000457763672}, '6_months_later': {'2023-01-11': 12.920000076293944}, '12_months_later': {'2023-07-11': 13.970000267028809}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BCV
|
{'date': '2022-07-11', 'ticker': 'BCV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.18000030517578, 'high': 18.440000534057617, 'open': 18.440000534057617, 'close': 18.200000762939453, 'ema_50': 19.088369904911435, 'rsi_14': 65.49297571891586, 'target': 18.030000686645508, 'volume': 10800.0, 'ema_200': 23.013986171278717, 'adj_close': 16.23879051208496, 'rsi_lag_1': 73.7827624388326, 'rsi_lag_2': 55.2325632973155, 'rsi_lag_3': 57.92349242663092, 'rsi_lag_4': 53.67087103965895, 'rsi_lag_5': 39.6995640523039, 'macd_lag_1': -0.2039420740986344, 'macd_lag_2': -0.24072254231396073, 'macd_lag_3': -0.2770391340203169, 'macd_lag_4': -0.30612637275262244, 'macd_lag_5': -0.3510175923773602, 'macd_12_26_9': -0.1951374267046191, 'macds_12_26_9': -0.29280254135612144}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 18.030000686645508, '2022-07-13': 17.969999313354492, '2022-07-14': 17.829999923706055, '2022-07-15': 17.8799991607666, '2022-07-18': 17.920000076293945, '2022-07-19': 18.229999542236328, '2022-07-20': 18.46999931335449, '2022-07-21': 18.88999938964844, '2022-07-22': 18.56999969482422, '2022-07-25': 18.520000457763672}, '1_month_later': {'2022-08-11': 20.26000022888184}, '3_months_later': {'2022-10-11': 16.799999237060547}, '6_months_later': {'2023-01-11': 17.329999923706055}, '12_months_later': {'2023-07-11': 17.75}}
|
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.
|
BBY
|
{'date': '2022-07-11', 'ticker': 'BBY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/best-buy-bby-dips-more-than-broader-markets%3A-what-you-should-know-5', 'news_author': None, 'news_article': 'In the latest trading session, Best Buy (BBY) closed at $69.91, marking a -1.77% move from the previous day. This move lagged the S&P 500\'s daily loss of 1.15%. Elsewhere, the Dow lost 0.52%, while the tech-heavy Nasdaq lost 0.37%.\nComing into today, shares of the consumer electronics retailer had lost 1.97% in the past month. In that same time, the Retail-Wholesale sector lost 3.17%, while the S&P 500 lost 5.08%.\nWall Street will be looking for positivity from Best Buy as it approaches its next earnings report date. On that day, Best Buy is projected to report earnings of $1.89 per share, which would represent a year-over-year decline of 36.58%. Meanwhile, the Zacks Consensus Estimate for revenue is projecting net sales of $10.85 billion, down 8.46% from the year-ago period.\nLooking at the full year, our Zacks Consensus Estimates suggest analysts are expecting earnings of $8.69 per share and revenue of $49.1 billion. These totals would mark changes of -13.19% and -5.14%, respectively, from last year.\nAny recent changes to analyst estimates for Best Buy should also be noted by investors. Recent revisions tend to reflect the latest near-term business trends. As such, positive estimate revisions reflect analyst optimism about the company\'s business and profitability.\nBased on our research, we believe these estimate revisions are directly related to near-team stock moves. Investors can capitalize on this by using the Zacks Rank. This model considers these estimate changes and provides a simple, actionable rating system.\nRanging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. Within the past 30 days, our consensus EPS projection remained stagnant. Best Buy currently has a Zacks Rank of #3 (Hold).\nDigging into valuation, Best Buy currently has a Forward P/E ratio of 8.19. This represents a discount compared to its industry\'s average Forward P/E of 10.76.\nWe can also see that BBY currently has a PEG ratio of 0.97. The PEG ratio is similar to the widely-used P/E ratio, but this metric also takes the company\'s expected earnings growth rate into account. The Retail - Consumer Electronics industry currently had an average PEG ratio of 0.78 as of yesterday\'s close.\nThe Retail - Consumer Electronics industry is part of the Retail-Wholesale sector. This industry currently has a Zacks Industry Rank of 182, which puts it in the bottom 28% of all 250+ industries.\nThe Zacks Industry Rank includes is listed in order from best to worst in terms of the average Zacks Rank of the individual companies within each of these sectors. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nTo follow BBY in the coming trading sessions, be sure to utilize Zacks.com.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nBest Buy Co., Inc. (BBY): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'In the latest trading session, Best Buy (BBY) closed at $69.91, marking a -1.77% move from the previous day. We can also see that BBY currently has a PEG ratio of 0.97. To follow BBY in the coming trading sessions, be sure to utilize Zacks.com.', 'news_luhn_summary': 'In the latest trading session, Best Buy (BBY) closed at $69.91, marking a -1.77% move from the previous day. We can also see that BBY currently has a PEG ratio of 0.97. To follow BBY in the coming trading sessions, be sure to utilize Zacks.com.', 'news_article_title': 'Best Buy (BBY) Dips More Than Broader Markets: What You Should Know', 'news_lexrank_summary': 'In the latest trading session, Best Buy (BBY) closed at $69.91, marking a -1.77% move from the previous day. We can also see that BBY currently has a PEG ratio of 0.97. To follow BBY in the coming trading sessions, be sure to utilize Zacks.com.', 'news_textrank_summary': 'In the latest trading session, Best Buy (BBY) closed at $69.91, marking a -1.77% move from the previous day. We can also see that BBY currently has a PEG ratio of 0.97. To follow BBY in the coming trading sessions, be sure to utilize Zacks.com.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 69.69999694824219, 'high': 71.91000366210938, 'open': 71.20999908447266, 'close': 69.91000366210938, 'ema_50': 77.19180689005618, 'rsi_14': 48.80478457002914, 'target': 70.41999816894531, 'volume': 1778900.0, 'ema_200': 93.2978371890648, 'adj_close': 65.04226684570312, 'rsi_lag_1': 55.19905863894881, 'rsi_lag_2': 48.493241766561816, 'rsi_lag_3': 46.25949020683722, 'rsi_lag_4': 50.96893261895085, 'rsi_lag_5': 39.31843164970439, 'macd_lag_1': -2.563298459300185, 'macd_lag_2': -2.8836725078206626, 'macd_lag_3': -3.2221329993809604, 'macd_lag_4': -3.3659549035112946, 'macd_lag_5': -3.6492198370530815, 'macd_12_26_9': -2.383594154488449, 'macds_12_26_9': -3.029362615209127}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
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{'next_10_days': {'2022-07-12': 70.41999816894531, '2022-07-13': 71.29000091552734, '2022-07-14': 71.13999938964844, '2022-07-15': 72.47000122070312, '2022-07-18': 73.33999633789062, '2022-07-19': 75.97000122070312, '2022-07-20': 78.12000274658203, '2022-07-21': 78.19999694824219, '2022-07-22': 76.80000305175781, '2022-07-25': 75.83999633789062}, '1_month_later': {'2022-08-11': 80.41999816894531}, '3_months_later': {'2022-10-11': 63.84999847412109}, '6_months_later': {'2023-01-11': 85.8499984741211}, '12_months_later': {'2023-07-11': 81.76000213623047}}
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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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BBC
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{'date': '2022-07-11', 'ticker': 'BBC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/the-zacks-analyst-blog-highlights-bbc-cncr-xbi-bbp-and-sbio', 'news_author': None, 'news_article': 'For Immediate Release\nChicago, IL – July 11, 2022 – Zacks.com announces the list of stocks featured in the Analyst Blog. Every day the Zacks Equity Research analysts discuss the latest news and events impacting stocks and the financial markets. ETF’s recently featured in the blog include: Virtus LifeSci Biotech Clinical Trials ETF BBC, Loncar Cancer Immunotherapy ETF CNCR, SPDR S&P Biotech ETF XBI, Virtus LifeSci Biotech Products ETF BBP, and ALPS Medical Breakthroughs ETF SBIO.\nHere are highlights from Friday’s Analyst Blog:\n5 ETFs Riding High on the Biotech Comeback\nBiotech, the downtrodden segment of the market, has made a solid comeback on bargain hunting. While most of the ETFs have rallied over the past month, the following Biotech ETFs stole the show.\nA Nasdaq benchmark for biotechnology stocks has plunged almost a third from its all-time high last August as optimism over developments to curb the COVID-19 pandemic bolstered the industry and led to concerns over elevated valuations. Additionally, this high-growth biotech segment has borne the maximum brunt of the broader market sell-off, following the rising interest rate outlook (read: Best & Worst Performing ETFs of 1H22).\nAccording to Michele Gesualdi, founder of London-based investment group Infinity Investment Partners, in the Financial Times, this is the worst correction in the biotech sector in his 22-year career. He said the sector is, on all metrics, "as cheap as it has ever been."\nFurther, traders on forums such as Reddit\'s WallStreetBets acted to bid up shares of heavily-shorted stocks, triggering a phenomenon known as a "short squeeze," which pushes up the stock prices higher. Notably, short squeeze is a term used by market participants to refer to a phenomenon where short-sellers in a stock, who placed their bets on its fall, rush to hedge their positions or buy the stock in the event of an adverse price movement to cover their losses. This leads to a sharp rise in demand for the share and a huge rally in share prices.\nVirtus LifeSci Biotech Clinical Trials ETF\nVirtus LifeSci Biotech Clinical Trials ETF offers exposure to companies with promising drugs in clinical human trials that have not yet been approved by the FDA or gone into production. It follows the LifeSci Biotechnology Clinical Trials Index and holds 182 securities in its basket, with none accounting for more than 2% share.\nVirtus LifeSci Biotech Clinical Trials ETF amassed $16.7 million in its asset base and charges 79 bps in fees per year from its investors. It carries a Zacks ETF Rank #3 (Hold) with a High-risk outlook (read: Did Safe Haven ETFs Protect Your Portfolio from Market Turmoil?).\nLoncar Cancer Immunotherapy ETF\nLoncar Cancer Immunotherapy ETF offers exposure to a basket of companies that develop therapies to treat cancer by harnessing the body\'s own immune system. It holds 30 stocks in its basket, with each accounting for less than 4.2% of assets.\nLoncar Cancer Immunotherapy ETF has AUM of $25.3 million and charges 79 bps in annual fees. The fund trades in an average daily volume of 7,000 shares and has a Zacks ETF Rank #3 with a High risk outlook.\nSPDR S&P Biotech ETF\nSPDR S&P Biotech ETF offers equal-weight exposure across 135 biotechnology stocks. It follows the S&P Biotechnology Select Industry Index, charging investors 35 bps in annual fees.\nSPDR S&P Biotech ETF has AUM of $7.7 billion and trades in an average daily volume of 15 million shares. XBI has a Zacks ETF Rank #2 with a High risk outlook.\nVirtus LifeSci Biotech Products ETF\nVirtus LifeSci Biotech Products ETF follows the LifeSci Biotechnology Products Index, which measures the performance of biotechnology companies with at least one drug therapy approved by the FDA.\nHolding 50 stocks, Virtus LifeSci Biotech Products ETF has accumulated AUM of $15.5 million and charges 79 bps in fees per year. BBP trades in volume of 1,000 shares a day on average and has a Zacks ETF Rank #3 with a High-risk outlook (read: Tap Q2 Earnings Growth With Sector ETFs).\nALPS Medical Breakthroughs ETF\nALPS Medical Breakthroughs ETF provides exposure to companies with one or more drugs in phase II or phase III FDA clinical trials by tracking S-Network Medical Breakthroughs Index. It holds 131 securities in its basket.\nALPS Medical Breakthroughs ETF charges 50 bps in fees per year from its investors and trades in a moderate average daily volume of about 29,000 shares. It has AUM of $106.5 million in its asset base and carries a Zacks ETF Rank #3 with a High-risk outlook.\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 >>\nMedia Contact\nZacks Investment Research\n800-767-3771 ext. 9339\[email protected] \nhttps://www.zacks.com \nPast performance is no guarantee of future results. Inherent in any investment is the potential for loss. This material is being provided for informational purposes only and nothing herein constitutes investment, legal, accounting or tax advice, or a recommendation to buy, sell or hold a security. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. It should not be assumed that any investments in securities, companies, sectors or markets identified and described were or will be profitable. All information is current as of the date of herein and is subject to change without notice. Any views or opinions expressed may not reflect those of the firm as a whole. Zacks Investment Research does not engage in investment banking, market making or asset management activities of any securities. These returns are from hypothetical portfolios consisting of stocks with Zacks Rank = 1 that were rebalanced monthly with zero transaction costs. These are not the returns of actual portfolios of stocks. The S&P 500 is an unmanaged index. Visit https://www.zacks.com/performance for information about the performance numbers displayed in this press release.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nLoncar Cancer Immunotherapy ETF (CNCR): ETF Research Reports\n \nVirtus LifeSci Biotech Clinical Trials ETF (BBC): ETF Research Reports\n \nSPDR S&P Biotech ETF (XBI): ETF Research Reports\n \nALPS Medical Breakthroughs ETF (SBIO): ETF Research Reports\n \nVirtus LifeSci Biotech Products ETF (BBP): ETF Research Reports\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'ETF’s recently featured in the blog include: Virtus LifeSci Biotech Clinical Trials ETF BBC, Loncar Cancer Immunotherapy ETF CNCR, SPDR S&P Biotech ETF XBI, Virtus LifeSci Biotech Products ETF BBP, and ALPS Medical Breakthroughs ETF SBIO. Virtus LifeSci Biotech Clinical Trials ETF (BBC): ETF Research Reports A Nasdaq benchmark for biotechnology stocks has plunged almost a third from its all-time high last August as optimism over developments to curb the COVID-19 pandemic bolstered the industry and led to concerns over elevated valuations.', 'news_luhn_summary': 'ETF’s recently featured in the blog include: Virtus LifeSci Biotech Clinical Trials ETF BBC, Loncar Cancer Immunotherapy ETF CNCR, SPDR S&P Biotech ETF XBI, Virtus LifeSci Biotech Products ETF BBP, and ALPS Medical Breakthroughs ETF SBIO. Virtus LifeSci Biotech Clinical Trials ETF (BBC): ETF Research Reports Virtus LifeSci Biotech Clinical Trials ETF Virtus LifeSci Biotech Clinical Trials ETF offers exposure to companies with promising drugs in clinical human trials that have not yet been approved by the FDA or gone into production.', 'news_article_title': 'The Zacks Analyst Blog Highlights BBC, CNCR XBI, BBP, and SBIO', 'news_lexrank_summary': 'ETF’s recently featured in the blog include: Virtus LifeSci Biotech Clinical Trials ETF BBC, Loncar Cancer Immunotherapy ETF CNCR, SPDR S&P Biotech ETF XBI, Virtus LifeSci Biotech Products ETF BBP, and ALPS Medical Breakthroughs ETF SBIO. Virtus LifeSci Biotech Clinical Trials ETF (BBC): ETF Research Reports BBP trades in volume of 1,000 shares a day on average and has a Zacks ETF Rank #3 with a High-risk outlook (read: Tap Q2 Earnings Growth With Sector ETFs).', 'news_textrank_summary': 'ETF’s recently featured in the blog include: Virtus LifeSci Biotech Clinical Trials ETF BBC, Loncar Cancer Immunotherapy ETF CNCR, SPDR S&P Biotech ETF XBI, Virtus LifeSci Biotech Products ETF BBP, and ALPS Medical Breakthroughs ETF SBIO. Virtus LifeSci Biotech Clinical Trials ETF (BBC): ETF Research Reports Virtus LifeSci Biotech Clinical Trials ETF Virtus LifeSci Biotech Clinical Trials ETF offers exposure to companies with promising drugs in clinical human trials that have not yet been approved by the FDA or gone into production.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.93099975585937, 'high': 25.31999969482422, 'open': 25.31999969482422, 'close': 23.93099975585937, 'ema_50': 22.123664309921818, 'rsi_14': 73.78455473374544, 'target': 24.29599952697754, 'volume': 8400.0, 'ema_200': 29.903403109707032, 'adj_close': 23.84624481201172, 'rsi_lag_1': 89.34406577638602, 'rsi_lag_2': 83.62956100237678, 'rsi_lag_3': 82.66525194518667, 'rsi_lag_4': 82.55376737984794, 'rsi_lag_5': 67.77358802857762, 'macd_lag_1': 1.0770073167168661, 'macd_lag_2': 0.9172036125221545, 'macd_lag_3': 0.7365494396763772, 'macd_lag_4': 0.5886228303871874, 'macd_lag_5': 0.4159947201051466, 'macd_12_26_9': 1.078334908417638, 'macds_12_26_9': 0.662300280103659}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 24.29599952697754, '2022-07-13': 24.90999984741211, '2022-07-14': 24.459999084472656, '2022-07-15': 24.56999969482422, '2022-07-18': 23.86000061035156, '2022-07-19': 25.09600067138672, '2022-07-20': 25.89699935913086, '2022-07-21': 25.709999084472656, '2022-07-22': 24.4379997253418, '2022-07-25': 24.27199935913086}, '1_month_later': {'2022-08-11': 27.280000686645508}, '3_months_later': {'2022-10-11': 24.559999465942383}, '6_months_later': {'2023-01-11': 25.582000732421875}, '12_months_later': {'2023-07-11': 24.34499931335449}}
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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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BBAX
|
{'date': '2022-07-11', 'ticker': 'BBAX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 46.59999847412109, 'high': 46.93000030517578, 'open': 46.81999969482422, 'close': 46.65999984741211, 'ema_50': 49.785542559571695, 'rsi_14': 45.238086920677276, 'target': 46.83000183105469, 'volume': 257400.0, 'ema_200': 52.67096099405643, 'adj_close': 43.76186752319336, 'rsi_lag_1': 51.67364033432106, 'rsi_lag_2': 44.26523248484716, 'rsi_lag_3': 42.83088673563982, 'rsi_lag_4': 38.81931289000016, 'rsi_lag_5': 32.29165188376295, 'macd_lag_1': -0.868064564618571, 'macd_lag_2': -0.9398183337180015, 'macd_lag_3': -1.0319866338241042, 'macd_lag_4': -1.0480708866479418, 'macd_lag_5': -1.037064681073531, 'macd_12_26_9': -0.8960858289607572, 'macds_12_26_9': -0.9784576978519435}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 46.83000183105469, '2022-07-13': 46.83000183105469, '2022-07-14': 46.47999954223633, '2022-07-15': 46.93999862670898, '2022-07-18': 47.09999847412109, '2022-07-19': 47.970001220703125, '2022-07-20': 47.95000076293945, '2022-07-21': 48.15999984741211, '2022-07-22': 48.02999877929688, '2022-07-25': 48.56999969482422}, '1_month_later': {'2022-08-11': 50.130001068115234}, '3_months_later': {'2022-10-11': 42.38999938964844}, '6_months_later': {'2023-01-11': 51.13999938964844}, '12_months_later': {'2023-07-11': 47.34000015258789}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
BBAR
|
{'date': '2022-07-11', 'ticker': 'BBAR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.2699999809265137, 'high': 2.380000114440918, 'open': 2.3299999237060547, 'close': 2.289999961853028, 'ema_50': 2.7286266988656336, 'rsi_14': 30.985917857752113, 'target': 2.2300000190734863, 'volume': 540100.0, 'ema_200': 3.1112945938699004, 'adj_close': 2.105783462524414, 'rsi_lag_1': 36.5079467198706, 'rsi_lag_2': 24.590154323352053, 'rsi_lag_3': 37.14284449206763, 'rsi_lag_4': 46.5753272542001, 'rsi_lag_5': 41.9753086419753, 'macd_lag_1': -0.13835657768317633, 'macd_lag_2': -0.14393837412932964, 'macd_lag_3': -0.14082365600784819, 'macd_lag_4': -0.13683616066701498, 'macd_lag_5': -0.13484722669448823, 'macd_12_26_9': -0.1395861615550742, 'macds_12_26_9': -0.1380654328563589}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 2.2300000190734863, '2022-07-13': 2.220000028610229, '2022-07-14': 2.150000095367432, '2022-07-15': 2.2100000381469727, '2022-07-18': 2.299999952316284, '2022-07-19': 2.3299999237060547, '2022-07-20': 2.259999990463257, '2022-07-21': 2.1600000858306885, '2022-07-22': 2.200000047683716, '2022-07-25': 2.319999933242798}, '1_month_later': {'2022-08-11': 2.809999942779541}, '3_months_later': {'2022-10-11': 3.0299999713897705}, '6_months_later': {'2023-01-11': 4.539999961853027}, '12_months_later': {'2023-07-11': 5.829999923706055}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
AXDX
|
{'date': '2022-07-11', 'ticker': 'AXDX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.0, 'high': 12.0, 'open': 12.0, 'close': 11.5, 'ema_50': 10.195101739536003, 'rsi_14': 60.14492948925137, 'target': 11.600000381469728, 'volume': 20440.0, 'ema_200': 28.757141703414128, 'adj_close': 11.5, 'rsi_lag_1': 59.71223046262472, 'rsi_lag_2': 57.24637721221356, 'rsi_lag_3': 62.89308326992499, 'rsi_lag_4': 61.18421254891111, 'rsi_lag_5': 63.15789292063412, 'macd_lag_1': 0.842283103238028, 'macd_lag_2': 0.7833900684217525, 'macd_lag_3': 0.737553609602287, 'macd_lag_4': 0.6886851847854967, 'macd_lag_5': 0.7181122471497314, 'macd_12_26_9': 0.8628713012497098, 'macds_12_26_9': 0.7352537825600065}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 11.600000381469728, '2022-07-13': 13.399999618530272, '2022-07-14': 13.800000190734863, '2022-07-15': 14.199999809265137, '2022-07-18': 13.5, '2022-07-19': 13.5, '2022-07-20': 14.100000381469728, '2022-07-21': 14.699999809265137, '2022-07-22': 13.0, '2022-07-25': 12.600000381469728}, '1_month_later': {'2022-08-11': 21.5}, '3_months_later': {'2022-10-11': 15.5}, '6_months_later': {'2023-01-11': 6.699999809265137}, '12_months_later': {'2023-07-11': 7.5}}
|
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.
|
AXGN
|
{'date': '2022-07-11', 'ticker': 'AXGN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.039999961853027, 'high': 8.609999656677246, 'open': 8.25, 'close': 8.140000343322754, 'ema_50': 8.758409203970567, 'rsi_14': 53.36049265530007, 'target': 8.5600004196167, 'volume': 180900.0, 'ema_200': 10.341832550672688, 'adj_close': 8.140000343322754, 'rsi_lag_1': 57.01943270603686, 'rsi_lag_2': 55.34590277043306, 'rsi_lag_3': 59.87780151496289, 'rsi_lag_4': 57.113407008109576, 'rsi_lag_5': 43.69565352600318, 'macd_lag_1': -0.06549176281717806, 'macd_lag_2': -0.04000245003385139, 'macd_lag_3': -0.05779605517173003, 'macd_lag_4': -0.0959574864921997, 'macd_lag_5': -0.12596050580596696, 'macd_12_26_9': -0.10864724031530137, 'macds_12_26_9': -0.06981842274650372}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}
|
{'next_10_days': {'2022-07-12': 8.5600004196167, '2022-07-13': 8.529999732971191, '2022-07-14': 8.260000228881836, '2022-07-15': 8.579999923706055, '2022-07-18': 8.760000228881836, '2022-07-19': 9.06999969482422, '2022-07-20': 9.350000381469728, '2022-07-21': 9.449999809265137, '2022-07-22': 9.199999809265137, '2022-07-25': 9.260000228881836}, '1_month_later': {'2022-08-11': 10.039999961853027}, '3_months_later': {'2022-10-11': 10.859999656677246}, '6_months_later': {'2023-01-11': 9.880000114440918}, '12_months_later': {'2023-07-11': 8.4399995803833}}
|
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.
|
AXLA
|
{'date': '2022-07-11', 'ticker': 'AXLA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.25, 'high': 55.0, 'open': 52.5, 'close': 53.75, 'ema_50': 50.69980145128615, 'rsi_14': 68.81720430107526, 'target': 53.5, 'volume': 713.0, 'ema_200': 59.18007239254738, 'adj_close': 53.75, 'rsi_lag_1': 43.44827586206897, 'rsi_lag_2': 44.21768707482994, 'rsi_lag_3': 44.5945945945946, 'rsi_lag_4': 48.666666666666664, 'rsi_lag_5': 53.79746835443037, 'macd_lag_1': 0.22496978930797695, 'macd_lag_2': -0.0003562997373194321, 'macd_lag_3': -0.13522187084986115, 'macd_lag_4': -0.17811979076660123, 'macd_lag_5': -0.3575550297764565, 'macd_12_26_9': 0.41888658512058186, 'macds_12_26_9': 0.13121834794156356}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 53.5, '2022-07-13': 52.25, '2022-07-14': 53.125, '2022-07-15': 52.0, '2022-07-18': 52.0, '2022-07-19': 52.0, '2022-07-20': 50.75, '2022-07-21': 51.25, '2022-07-22': 49.5, '2022-07-25': 46.25}, '1_month_later': {'2022-08-11': 58.5}, '3_months_later': {'2022-10-11': 42.25}, '6_months_later': {'2023-01-11': 8.9375}, '12_months_later': {'2023-07-11': 4.949999809265137}}
|
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.
|
AXNX
|
{'date': '2022-07-11', 'ticker': 'AXNX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 61.09999847412109, 'high': 63.040000915527344, 'open': 62.459999084472656, 'close': 61.25, 'ema_50': 55.452068499078585, 'rsi_14': 78.08041737700904, 'target': 61.25, 'volume': 342900.0, 'ema_200': 56.361159235785685, 'adj_close': 61.25, 'rsi_lag_1': 82.39049541975409, 'rsi_lag_2': 75.65478388982751, 'rsi_lag_3': 77.60696959510805, 'rsi_lag_4': 74.25650643286879, 'rsi_lag_5': 59.10266750640459, 'macd_lag_1': 2.5346150763628117, 'macd_lag_2': 2.3058443877588886, 'macd_lag_3': 2.0251101052019393, 'macd_lag_4': 1.6088259618615695, 'macd_lag_5': 1.3290036941919539, 'macd_12_26_9': 2.537388642702524, 'macds_12_26_9': 1.7799620074962972}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', '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': 61.25, '2022-07-13': 61.470001220703125, '2022-07-14': 62.52999877929688, '2022-07-15': 63.459999084472656, '2022-07-18': 61.900001525878906, '2022-07-19': 63.52000045776367, '2022-07-20': 62.33000183105469, '2022-07-21': 65.0, '2022-07-22': 62.459999084472656, '2022-07-25': 61.25}, '1_month_later': {'2022-08-11': 70.08000183105469}, '3_months_later': {'2022-10-11': 69.66000366210938}, '6_months_later': {'2023-01-11': 61.7599983215332}, '12_months_later': {'2023-07-11': 50.13999938964844}}
|
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
|
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