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ovv
{'date': '2018-01-02', 'ticker': 'ovv', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 66.94999694824219, 'high': 68.6500015258789, 'open': 67.05000305175781, 'close': 68.5999984741211, 'ema_50': 59.66097716381144, 'rsi_14': 79.6969742507875, 'target': 69.0, 'volume': 1839400.0, 'ema_200': 54.951073233250696, 'adj_close': 59.36442565917969, 'rsi_lag_1': 76.19047742620572, 'rsi_lag_2': 76.97367958745045, 'rsi_lag_3': 76.973685366295, 'rsi_lag_4': 64.80447653620402, 'rsi_lag_5': 60.8695662475554, 'macd_lag_1': 1.8418287632155312, 'macd_lag_2': 1.587443960527743, 'macd_lag_3': 1.244757574577548, 'macd_lag_4': 0.8859865301555416, 'macd_lag_5': 0.42535880129244674, 'macd_12_26_9': 2.1756989063410543, 'macds_12_26_9': 1.1225114840198076}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 69.0, '2018-01-04': 67.3499984741211, '2018-01-05': 66.75, '2018-01-08': 66.55000305175781, '2018-01-09': 68.19999694824219, '2018-01-10': 69.0, '2018-01-11': 70.19999694824219, '2018-01-12': 69.9000015258789, '2018-01-16': 67.25}, '1_month_later': {'2018-02-02': 57.75}, '3_months_later': {'2018-04-02': 52.70000076293945}, '6_months_later': {'2018-07-02': 63.400001525878906}, '12_months_later': {'2019-01-02': 29.89999961853028}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OVID
{'date': '2018-01-02', 'ticker': 'OVID', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.430999755859377, 'high': 10.0, 'open': 9.779999732971191, 'close': 9.8100004196167, 'ema_50': 9.724009158847888, 'rsi_14': 36.77686210962374, 'target': 9.68000030517578, 'volume': 51000.0, 'ema_200': 9.9812287291956, 'adj_close': 9.8100004196167, 'rsi_lag_1': 24.38355384120557, 'rsi_lag_2': 23.54496500165503, 'rsi_lag_3': 33.256349258964036, 'rsi_lag_4': 38.39479397112163, 'rsi_lag_5': 39.76669658825159, 'macd_lag_1': 0.001382120673307341, 'macd_lag_2': 0.021665495858819384, 'macd_lag_3': 0.03603935883960219, 'macd_lag_4': 0.055897739150141845, 'macd_lag_5': 0.07534026712040998, 'macd_12_26_9': -0.019311445438075836, 'macds_12_26_9': 0.10387036462110276}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.68000030517578, '2018-01-04': 9.6899995803833, '2018-01-05': 9.640000343322754, '2018-01-08': 8.75, '2018-01-09': 9.199999809265137, '2018-01-10': 9.510000228881836, '2018-01-11': 9.81999969482422, '2018-01-12': 9.520000457763672, '2018-01-16': 8.720000267028809}, '1_month_later': {'2018-02-02': 8.399999618530272}, '3_months_later': {'2018-04-02': 6.1599998474121085}, '6_months_later': {'2018-07-02': 8.140000343322754}, '12_months_later': {'2019-01-02': 2.700000047683716}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OXY
{'date': '2018-01-02', 'ticker': 'OXY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/dividend-stock-has-5-things-its-favor-2018-01-02', 'news_author': None, 'news_article': 'International oil and gas explorer and producer Occidental Petroleum ( OXY ) has five things working in its favor.\n[ibd-display-video id=3037595 width=50 float=left autostart=true] First, the price of West Texas intermediate crude oil is doing fine. Oil prices didn\'t behave the way the experts said they would in 2017. For example, on June 20, CNN reported a "massive supply glut," and added that there was "doom-and-gloom in the energy industry," and observed that oil had "plunged into a bear market."\nWith hindsight, the hand-wringing in mid-2017 now looks ridiculous. If oil was in a bear market, it was among the briefest in history. On June 21, oil struck a low. At that point, the bear market in oil proved to be a head fake followed by a springboard to gains.\nOil rallied 43% from the June 21 close and was trading above $60 a barrel intraday Tuesday.\nSecond, going into Tuesday\'s session, Occidental\'s industry group - Oil & Gas - International Exploration & Production - was No. 42 among the 197 industry groups tracked by IBD . The group was No. 112 six weeks ago. Strength in the group can provide a tailwind to a stock.\nThird, Occidental pays a generous dividend. The annualized dividend yield is 4.2%, easily surpassing the S&P 500\'s 1.8% yield and the Dow Jones industrial average\'s 2.1% yield. For the eight other dividend-paying stocks in Occidental\'s group, the average yield is 2.6%.\nFourth, Occidental Petroleum is the only stock in its group that carries a Composite Rating of at least 90. Occidental\'s 90 rating puts the stock in the top 10% among all the stocks in IBD\'s database. (The Composite Rating combines all five IBD ratings into a single number.)\nFifth, Occidental Petroleum is in the midst of a turnaround. The company reported a $1.01 per share loss in 2016. The Street expects a profit of 83 cents a share in 2017 and $1.73 per share in 2018.\nOccidental will report 2017 results after the close Feb. 13.\nThe Stock Chart\nOccidental Petroleum began consolidating in September 2016. The long cup sank as much as 27%. The stock didn\'t get serious about building the right side until September 2017. Occidental\'s potential buy point is the left-side high plus 10 cents (78.58).\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, 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': 'International oil and gas explorer and producer Occidental Petroleum ( OXY ) has five things working in its favor. For example, on June 20, CNN reported a "massive supply glut," and added that there was "doom-and-gloom in the energy industry," and observed that oil had "plunged into a bear market." Second, going into Tuesday\'s session, Occidental\'s industry group - Oil & Gas - International Exploration & Production - was No.', 'news_luhn_summary': "International oil and gas explorer and producer Occidental Petroleum ( OXY ) has five things working in its favor. Second, going into Tuesday's session, Occidental's industry group - Oil & Gas - International Exploration & Production - was No. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_article_title': 'This Dividend Stock Has 5 Things In Its Favor', 'news_lexrank_summary': 'International oil and gas explorer and producer Occidental Petroleum ( OXY ) has five things working in its favor. For example, on June 20, CNN reported a "massive supply glut," and added that there was "doom-and-gloom in the energy industry," and observed that oil had "plunged into a bear market." For the eight other dividend-paying stocks in Occidental\'s group, the average yield is 2.6%.', 'news_textrank_summary': "International oil and gas explorer and producer Occidental Petroleum ( OXY ) has five things working in its favor. Second, going into Tuesday's session, Occidental's industry group - Oil & Gas - International Exploration & Production - was No. Fourth, Occidental Petroleum is the only stock in its group that carries a Composite Rating of at least 90."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 73.48999786376953, 'high': 74.30000305175781, 'open': 74.01000213623047, 'close': 73.9800033569336, 'ema_50': 69.2740286044029, 'rsi_14': 92.5856894828679, 'target': 75.0, 'volume': 2830000.0, 'ema_200': 65.82515648274008, 'adj_close': 64.38348388671875, 'rsi_lag_1': 92.99833303427484, 'rsi_lag_2': 85.3377174128903, 'rsi_lag_3': 84.73414905450501, 'rsi_lag_4': 77.91797082299937, 'rsi_lag_5': 75.04274418307422, 'macd_lag_1': 1.421551377139508, 'macd_lag_2': 1.395443590637882, 'macd_lag_3': 1.3377511563239324, 'macd_lag_4': 1.2833470618737977, 'macd_lag_5': 1.1728406634040311, 'macd_12_26_9': 1.4513332211123497, 'macds_12_26_9': 1.258866749593595}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 75.0, '2018-01-04': 74.95999908447266, '2018-01-05': 74.55000305175781, '2018-01-08': 75.19000244140625, '2018-01-09': 74.88999938964844, '2018-01-10': 74.25, '2018-01-11': 75.81999969482422, '2018-01-12': 76.52999877929688, '2018-01-16': 75.2699966430664}, '1_month_later': {'2018-02-02': 73.58000183105469}, '3_months_later': {'2018-04-02': 64.66999816894531}, '6_months_later': {'2018-07-02': 82.5199966430664}, '12_months_later': {'2019-01-02': 62.0}}
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.
ousm
{'date': '2018-01-02', 'ticker': 'ousm', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.02400016784668, 'high': 27.239999771118164, 'open': 27.239999771118164, 'close': 27.15999984741211, 'ema_50': 26.81536351565052, 'rsi_14': 50.86707305375754, 'target': 27.1200008392334, 'volume': 193700.0, 'ema_200': 26.037667301873753, 'adj_close': 24.028995513916016, 'rsi_lag_1': 45.75560204951084, 'rsi_lag_2': 51.297046701597395, 'rsi_lag_3': 51.76622778433808, 'rsi_lag_4': 47.15549586218879, 'rsi_lag_5': 42.09935438593467, 'macd_lag_1': 0.0923490981304802, 'macd_lag_2': 0.10676499610152135, 'macd_lag_3': 0.10833929022727773, 'macd_lag_4': 0.11997287992573646, 'macd_lag_5': 0.1391855472378829, 'macd_12_26_9': 0.089574744165283, 'macds_12_26_9': 0.12143796951490904}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.1200008392334, '2018-01-04': 27.07999992370605, '2018-01-05': 27.15999984741211, '2018-01-08': 27.229999542236328, '2018-01-09': 27.07999992370605, '2018-01-10': 26.920000076293945, '2018-01-11': 27.270000457763672, '2018-01-12': 27.229999542236328, '2018-01-16': 27.100000381469727}, '1_month_later': {'2018-02-02': 26.559999465942383}, '3_months_later': {'2018-04-02': 25.459999084472656}, '6_months_later': {'2018-07-02': 27.229999542236328}, '12_months_later': {'2019-01-02': 23.61000061035156}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OUSA
{'date': '2018-01-02', 'ticker': 'OUSA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.88999938964844, 'high': 32.150001525878906, 'open': 32.150001525878906, 'close': 31.959999084472656, 'ema_50': 31.322222949478363, 'rsi_14': 60.98902922338225, 'target': 32.02000045776367, 'volume': 92900.0, 'ema_200': 30.030924634530145, 'adj_close': 29.950464248657227, 'rsi_lag_1': 64.26178094247533, 'rsi_lag_2': 71.10394134276262, 'rsi_lag_3': 68.97694027889457, 'rsi_lag_4': 63.727100341957566, 'rsi_lag_5': 54.772434461124924, 'macd_lag_1': 0.22945928870003485, 'macd_lag_2': 0.24446974518935605, 'macd_lag_3': 0.25294538079632645, 'macd_lag_4': 0.2641567946285619, 'macd_lag_5': 0.28175159656193927, 'macd_12_26_9': 0.21907258200012336, 'macds_12_26_9': 0.2540283915327981}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.02000045776367, '2018-01-04': 32.0629997253418, '2018-01-05': 32.25, '2018-01-08': 32.279998779296875, '2018-01-09': 32.279998779296875, '2018-01-10': 32.150001525878906, '2018-01-11': 32.22999954223633, '2018-01-12': 32.45000076293945, '2018-01-16': 32.41999816894531}, '1_month_later': {'2018-02-02': 31.89999961853028}, '3_months_later': {'2018-04-02': 29.799999237060547}, '6_months_later': {'2018-07-02': 30.690000534057617}, '12_months_later': {'2019-01-02': 29.93000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OUNZ
{'date': '2018-01-02', 'ticker': 'OUNZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.92099952697754, 'high': 13.0, 'open': 12.93000030517578, 'close': 13.0, 'ema_50': 12.592935407714618, 'rsi_14': 95.23820336466065, 'target': 12.949999809265137, 'volume': 55400.0, 'ema_200': 12.530639027152386, 'adj_close': 13.0, 'rsi_lag_1': 85.52634716036914, 'rsi_lag_2': 83.6553108938613, 'rsi_lag_3': 64.55695132874757, 'rsi_lag_4': 60.52632899828826, 'rsi_lag_5': 48.648679996649136, 'macd_lag_1': 0.040731526200149304, 'macd_lag_2': 0.018441932116406434, 'macd_lag_3': -0.00039956546137887017, 'macd_lag_4': -0.019045946494822275, 'macd_lag_5': -0.03747754873548814, 'macd_12_26_9': 0.06969648798669148, 'macds_12_26_9': 0.0020309017783756178}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.949999809265137, '2018-01-04': 13.020000457763672, '2018-01-05': 13.010000228881836, '2018-01-08': 13.0, '2018-01-09': 12.949999809265137, '2018-01-10': 12.989999771118164, '2018-01-11': 13.026000022888184, '2018-01-12': 13.199999809265137, '2018-01-16': 13.1899995803833}, '1_month_later': {'2018-02-02': 13.109999656677244}, '3_months_later': {'2018-04-02': 13.210000038146973}, '6_months_later': {'2018-07-02': 12.199999809265137}, '12_months_later': {'2019-01-02': 12.595999717712402}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OTTW
{'date': '2018-01-02', 'ticker': 'OTTW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.029999732971191, 'high': 14.619999885559082, 'open': 14.619999885559082, 'close': 14.029999732971191, 'ema_50': 14.2051279583466, 'rsi_14': 45.31249674037077, 'target': 14.34000015258789, 'volume': 3300.0, 'ema_200': 13.648557050318761, 'adj_close': 12.680093765258787, 'rsi_lag_1': 51.236743758150894, 'rsi_lag_2': 45.878145756936874, 'rsi_lag_3': 50.0, 'rsi_lag_4': 60.07752109910518, 'rsi_lag_5': 60.07752109910518, 'macd_lag_1': 0.1112821630403964, 'macd_lag_2': 0.1224514528078231, 'macd_lag_3': 0.1522354176459526, 'macd_lag_4': 0.18803625396449597, 'macd_lag_5': 0.18212338614388912, 'macd_12_26_9': 0.0685565816565159, 'macds_12_26_9': 0.1288066475309406}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.34000015258789, '2018-01-04': 14.40999984741211, '2018-01-05': 14.40999984741211, '2018-01-08': 14.199999809265137, '2018-01-09': 14.229999542236328, '2018-01-10': 14.300000190734863, '2018-01-11': 14.279999732971191, '2018-01-12': 14.359999656677246, '2018-01-16': 14.529999732971191}, '1_month_later': {'2018-02-02': 14.109999656677246}, '3_months_later': {'2018-04-02': 13.75}, '6_months_later': {'2018-07-02': 13.989999771118164}, '12_months_later': {'2019-01-02': 13.59000015258789}}
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.
OTTR
{'date': '2018-01-02', 'ticker': 'OTTR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.33000183105469, 'high': 44.95000076293945, 'open': 44.400001525878906, 'close': 43.79999923706055, 'ema_50': 45.371991722304436, 'rsi_14': 32.89472693551909, 'target': 43.04999923706055, 'volume': 89100.0, 'ema_200': 42.4647622811438, 'adj_close': 40.6855697631836, 'rsi_lag_1': 34.24657892165291, 'rsi_lag_2': 34.72221854292356, 'rsi_lag_3': 30.147050986239606, 'rsi_lag_4': 30.147050986239606, 'rsi_lag_5': 27.8911518727313, 'macd_lag_1': -0.5408888521882389, 'macd_lag_2': -0.5391677193113438, 'macd_lag_3': -0.5851284106591805, 'macd_lag_4': -0.5894617475979089, 'macd_lag_5': -0.5355095813255417, 'macd_12_26_9': -0.5879253161683096, 'macds_12_26_9': -0.45359843798505156}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 43.04999923706055, '2018-01-04': 42.70000076293945, '2018-01-05': 42.79999923706055, '2018-01-08': 42.400001525878906, '2018-01-09': 41.09999847412109, '2018-01-10': 40.79999923706055, '2018-01-11': 41.5, '2018-01-12': 41.34999847412109, '2018-01-16': 42.150001525878906}, '1_month_later': {'2018-02-02': 42.0}, '3_months_later': {'2018-04-02': 42.75}, '6_months_later': {'2018-07-02': 48.20000076293945}, '12_months_later': {'2019-01-02': 47.81999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OTLK
{'date': '2018-01-02', 'ticker': 'OTLK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.84000015258789, 'high': 10.399999618530272, 'open': 10.399999618530272, 'close': 10.079999923706056, 'ema_50': 10.096766820979767, 'rsi_14': 46.44128476212661, 'target': 9.279999732971191, 'volume': 3400.0, 'ema_200': 13.067542237309215, 'adj_close': 10.079999923706056, 'rsi_lag_1': 53.55871523787339, 'rsi_lag_2': 49.06015138681619, 'rsi_lag_3': 27.66323171868244, 'rsi_lag_4': 41.45299138042142, 'rsi_lag_5': 44.45983084499075, 'macd_lag_1': -0.15913729908620766, 'macd_lag_2': -0.2369154217688667, 'macd_lag_3': -0.30016075965781397, 'macd_lag_4': -0.2950642695480443, 'macd_lag_5': -0.2924128977554936, 'macd_12_26_9': -0.12191353418877604, 'macds_12_26_9': -0.20721576482031787}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.279999732971191, '2018-01-04': 9.416000366210938, '2018-01-05': 9.4399995803833, '2018-01-08': 9.84000015258789, '2018-01-09': 9.432000160217283, '2018-01-10': 9.359999656677246, '2018-01-11': 9.520000457763672, '2018-01-12': 9.303999900817873, '2018-01-16': 9.4399995803833}, '1_month_later': {'2018-02-02': 9.119999885559082}, '3_months_later': {'2018-04-02': 7.28000020980835}, '6_months_later': {'2018-07-02': 6.880000114440918}, '12_months_later': {'2019-01-02': 4.400000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OTIC
{'date': '2018-01-02', 'ticker': 'OTIC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.468999862670898, 'high': 5.900000095367432, 'open': 5.550000190734863, 'close': 5.849999904632568, 'ema_50': 5.231988829805456, 'rsi_14': 79.99997456870915, 'target': 5.800000190734863, 'volume': 402800.0, 'ema_200': 9.405120719091697, 'adj_close': 5.849999904632568, 'rsi_lag_1': 69.23073819408121, 'rsi_lag_2': 69.23073819408121, 'rsi_lag_3': 54.999983310739246, 'rsi_lag_4': 52.380956705997335, 'rsi_lag_5': 50.0, 'macd_lag_1': 0.13962108779298354, 'macd_lag_2': 0.11606112186933171, 'macd_lag_3': 0.0944837333401436, 'macd_lag_4': 0.10120518433143921, 'macd_lag_5': 0.10322119604068458, 'macd_12_26_9': 0.18042022815471626, 'macds_12_26_9': 0.13673258933220278}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.800000190734863, '2018-01-04': 5.75, '2018-01-05': 5.699999809265137, '2018-01-08': 5.599999904632568, '2018-01-09': 5.75, '2018-01-10': 5.974999904632568, '2018-01-11': 6.099999904632568, '2018-01-12': 5.849999904632568, '2018-01-16': 5.800000190734863}, '1_month_later': {'2018-02-02': 5.400000095367432}, '3_months_later': {'2018-04-02': 3.950000047683716}, '6_months_later': {'2018-07-02': 3.950000047683716}, '12_months_later': {'2019-01-02': 1.8899999856948853}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OTEX
{'date': '2018-01-02', 'ticker': 'OTEX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.gurufocus.com/news/617413/park-national-corp-buys-fortive-corp-allergan-plc-intercontinental-exchange-inc-sells-johnson-controls-international-plc-nike-inc-charles-schwab-corp', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Park National Corp Buys Fortive Corp, Allergan PLC, Intercontinental Exchange Inc, Sells ...', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.15999984741211, 'high': 35.66999816894531, 'open': 35.66999816894531, 'close': 34.810001373291016, 'ema_50': 33.22931841429822, 'rsi_14': 70.2759943921555, 'target': 34.380001068115234, 'volume': 1530000.0, 'ema_200': 32.745731680412064, 'adj_close': 33.26012420654297, 'rsi_lag_1': 87.20370621468926, 'rsi_lag_2': 87.32386168261792, 'rsi_lag_3': 71.72761170927727, 'rsi_lag_4': 63.42583353495822, 'rsi_lag_5': 61.83565531475748, 'macd_lag_1': 0.3413637770189766, 'macd_lag_2': 0.15801958873674948, 'macd_lag_3': -0.06302023864117956, 'macd_lag_4': -0.08866692460711789, 'macd_lag_5': -0.12214813149075354, 'macd_12_26_9': 0.41251559009937466, 'macds_12_26_9': 0.08773885103713068}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 34.380001068115234, '2018-01-04': 34.349998474121094, '2018-01-05': 34.310001373291016, '2018-01-08': 33.970001220703125, '2018-01-09': 33.83000183105469, '2018-01-10': 33.5, '2018-01-11': 33.790000915527344, '2018-01-12': 33.810001373291016, '2018-01-16': 33.599998474121094}, '1_month_later': {'2018-02-02': 36.5}, '3_months_later': {'2018-04-02': 33.959999084472656}, '6_months_later': {'2018-07-02': 35.5099983215332}, '12_months_later': {'2019-01-02': 32.43000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OTEL
{'date': '2018-01-02', 'ticker': 'OTEL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 14.100000381469728, 'open': 13.380000114440918, 'close': 13.600000381469728, 'ema_50': 12.12586540207771, 'rsi_14': 50.85324520909059, 'target': 13.949999809265137, 'volume': 10600.0, 'ema_200': 9.441251188365433, 'adj_close': 13.600000381469728, 'rsi_lag_1': 47.25275569811371, 'rsi_lag_2': 57.425735406823705, 'rsi_lag_3': 62.39066812210805, 'rsi_lag_4': 54.452928555031335, 'rsi_lag_5': 49.32975658821059, 'macd_lag_1': 0.43926119253746165, 'macd_lag_2': 0.46815938934660295, 'macd_lag_3': 0.4829617173603271, 'macd_lag_4': 0.4948299728635135, 'macd_lag_5': 0.4976897272256515, 'macd_12_26_9': 0.4315573495384193, 'macds_12_26_9': 0.49262457934789533}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.949999809265137, '2018-01-04': 13.800000190734863, '2018-01-05': 13.899999618530272, '2018-01-08': 14.25, '2018-01-09': 14.149999618530272, '2018-01-10': 14.0, '2018-01-11': 13.899999618530272, '2018-01-12': 14.100000381469728, '2018-01-16': 14.050000190734863}, '1_month_later': {'2018-02-02': 14.329999923706056}, '3_months_later': {'2018-04-02': 14.899999618530272}, '6_months_later': {'2018-07-02': 15.050000190734863}, '12_months_later': {'2019-01-02': 16.229999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OUT
{'date': '2018-01-02', 'ticker': 'OUT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.920000076293945, 'high': 23.280000686645508, 'open': 23.280000686645508, 'close': 23.15999984741211, 'ema_50': 23.449351766701014, 'rsi_14': 46.53845871694235, 'target': 22.950000762939453, 'volume': 396800.0, 'ema_200': 23.545376751586495, 'adj_close': 20.0521240234375, 'rsi_lag_1': 45.31835553809334, 'rsi_lag_2': 45.31835553809334, 'rsi_lag_3': 50.5226263168668, 'rsi_lag_4': 54.19579650075195, 'rsi_lag_5': 50.99999046326302, 'macd_lag_1': -0.16083273903953454, 'macd_lag_2': -0.17110813917799916, 'macd_lag_3': -0.16340713680333252, 'macd_lag_4': -0.15527365261527848, 'macd_lag_5': -0.1538339054493605, 'macd_12_26_9': -0.1541403163629873, 'macds_12_26_9': -0.15103037298230815}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.950000762939453, '2018-01-04': 22.89999961853028, '2018-01-05': 22.8799991607666, '2018-01-08': 22.690000534057617, '2018-01-09': 22.13999938964844, '2018-01-10': 21.709999084472656, '2018-01-11': 21.90999984741211, '2018-01-12': 21.93000030517578, '2018-01-16': 22.25}, '1_month_later': {'2018-02-02': 21.8799991607666}, '3_months_later': {'2018-04-02': 18.0}, '6_months_later': {'2018-07-02': 19.540000915527344}, '12_months_later': {'2019-01-02': 18.1299991607666}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OZK
{'date': '2018-01-02', 'ticker': 'OZK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.959999084472656, 'high': 48.88999938964844, 'open': 48.84000015258789, 'close': 48.38999938964844, 'ema_50': 46.7704669464701, 'rsi_14': 68.7218056326782, 'target': 48.5099983215332, 'volume': 749000.0, 'ema_200': 46.2954451999534, 'adj_close': 44.88340377807617, 'rsi_lag_1': 63.12157519811164, 'rsi_lag_2': 67.00003542224684, 'rsi_lag_3': 65.57380031529586, 'rsi_lag_4': 68.00623559904442, 'rsi_lag_5': 60.439581744965, 'macd_lag_1': 0.7916832796092166, 'macd_lag_2': 0.8300971303977462, 'macd_lag_3': 0.8303984249989966, 'macd_lag_4': 0.875722785570602, 'macd_lag_5': 0.8607626224647333, 'macd_12_26_9': 0.7477784917532802, 'macds_12_26_9': 0.7323303084384647}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 48.5099983215332, '2018-01-04': 49.5, '2018-01-05': 50.27999877929688, '2018-01-08': 49.70000076293945, '2018-01-09': 50.11000061035156, '2018-01-10': 50.88999938964844, '2018-01-11': 52.5, '2018-01-12': 52.470001220703125, '2018-01-16': 52.22999954223633}, '1_month_later': {'2018-02-02': 50.43999862670898}, '3_months_later': {'2018-04-02': 46.959999084472656}, '6_months_later': {'2018-07-02': 45.310001373291016}, '12_months_later': {'2019-01-02': 23.200000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAAS
{'date': '2018-01-02', 'ticker': 'PAAS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134947-top-5-silver-stocks-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Top 5 Silver Stocks For 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.56999969482422, 'high': 15.829999923706056, 'open': 15.729999542236328, 'close': 15.800000190734863, 'ema_50': 15.609310919881498, 'rsi_14': 73.94637205301697, 'target': 15.43000030517578, 'volume': 1549900.0, 'ema_200': 16.454797757921714, 'adj_close': 15.398865699768066, 'rsi_lag_1': 72.58066624930586, 'rsi_lag_2': 78.68216251941537, 'rsi_lag_3': 73.43172483786651, 'rsi_lag_4': 70.07041071123952, 'rsi_lag_5': 64.1196065919484, 'macd_lag_1': 0.09744818443379266, 'macd_lag_2': 0.09350992747797626, 'macd_lag_3': 0.07388685692209407, 'macd_lag_4': 0.0518386887005704, 'macd_lag_5': 0.01479774446665516, 'macd_12_26_9': 0.11856847365437062, 'macds_12_26_9': 0.012105706153627153}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.43000030517578, '2018-01-04': 15.68000030517578, '2018-01-05': 15.59000015258789, '2018-01-08': 15.880000114440918, '2018-01-09': 15.739999771118164, '2018-01-10': 16.079999923706055, '2018-01-11': 16.18000030517578, '2018-01-12': 16.65999984741211, '2018-01-16': 17.239999771118164}, '1_month_later': {'2018-02-02': 15.90999984741211}, '3_months_later': {'2018-04-02': 16.219999313354492}, '6_months_later': {'2018-07-02': 17.75}, '12_months_later': {'2019-01-02': 14.640000343322754}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PB
{'date': '2018-01-02', 'ticker': 'PB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/18/01/10972439/hovde-group-downgrades-prosperity-bancshares-to-underperform', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Hovde Group Downgrades Prosperity Bancshares to Underperform', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 69.38999938964844, 'high': 71.20999908447266, 'open': 70.05999755859375, 'close': 70.0, 'ema_50': 68.07949165677684, 'rsi_14': 57.31559598326514, 'target': 69.5199966430664, 'volume': 462200.0, 'ema_200': 65.40691484568772, 'adj_close': 65.82037353515625, 'rsi_lag_1': 56.428586998775664, 'rsi_lag_2': 60.536416013750454, 'rsi_lag_3': 64.15312270155306, 'rsi_lag_4': 62.840950173872564, 'rsi_lag_5': 51.39406891426982, 'macd_lag_1': 1.0883414220710108, 'macd_lag_2': 1.237149119346526, 'macd_lag_3': 1.3215232581700889, 'macd_lag_4': 1.4262844662917473, 'macd_lag_5': 1.4944516583868506, 'macd_12_26_9': 0.9537674223726214, 'macds_12_26_9': 1.228404222808572}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 69.5199966430664, '2018-01-04': 69.37000274658203, '2018-01-05': 69.70999908447266, '2018-01-08': 69.48999786376953, '2018-01-09': 71.0, '2018-01-10': 72.8499984741211, '2018-01-11': 74.3499984741211, '2018-01-12': 74.9800033569336, '2018-01-16': 74.06999969482422}, '1_month_later': {'2018-02-02': 76.27999877929688}, '3_months_later': {'2018-04-02': 70.91000366210938}, '6_months_later': {'2018-07-02': 68.55000305175781}, '12_months_later': {'2019-01-02': 64.2300033569336}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAYX
{'date': '2018-01-02', 'ticker': 'PAYX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/abm-industries-incorporated-abm-ex-dividend-date-scheduled-january-03-2018-2018-01-02', 'news_author': None, 'news_article': "ABM Industries Incorporated ( ABM ) will begin trading ex-dividend on January 03, 2018. A cash dividend payment of $0.175 per share is scheduled to be paid on February 05, 2018. Shareholders who purchased ABM prior to the ex-dividend date are eligible for the cash dividend payment. This represents an 2.94% increase over prior dividend payment.\nThe previous trading day's last sale of ABM was $37.72, representing a -16.4% decrease from the 52 week high of $45.12 and a 3.03% increase over the 52 week low of $36.61.\nABM is a part of the Finance sector, which includes companies such as Paychex, Inc. ( PAYX ) and United Rentals, Inc. ( URI ). ABM's current earnings per share, an indicator of a company's profitability, is $.07. Zacks Investment Research reports ABM's forecasted earnings growth in 2018 as .86%, compared to an industry average of 4.6%.\nFor more information on the declaration, record and payment dates, visit the ABM Dividend History page. Our Dividend Calendar has the full list of stocks that have an ex-dividend today.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, 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': "ABM is a part of the Finance sector, which includes companies such as Paychex, Inc. ( PAYX ) and United Rentals, Inc. ( URI ). Zacks Investment Research reports ABM's forecasted earnings growth in 2018 as .86%, compared to an industry average of 4.6%. For more information on the declaration, record and payment dates, visit the ABM Dividend History page.", 'news_luhn_summary': 'The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. ABM is a part of the Finance sector, which includes companies such as Paychex, Inc. ( PAYX ) and United Rentals, Inc. ( URI ). This represents an 2.94% increase over prior dividend payment.', 'news_article_title': 'ABM Industries Incorporated (ABM) Ex-Dividend Date Scheduled for January 03, 2018', 'news_lexrank_summary': 'ABM is a part of the Finance sector, which includes companies such as Paychex, Inc. ( PAYX ) and United Rentals, Inc. ( URI ). A cash dividend payment of $0.175 per share is scheduled to be paid on February 05, 2018. Shareholders who purchased ABM prior to the ex-dividend date are eligible for the cash dividend payment.', 'news_textrank_summary': 'ABM is a part of the Finance sector, which includes companies such as Paychex, Inc. ( PAYX ) and United Rentals, Inc. ( URI ). ABM Industries Incorporated ( ABM ) will begin trading ex-dividend on January 03, 2018. Shareholders who purchased ABM prior to the ex-dividend date are eligible for the cash dividend payment.'}, {'news_url': 'https://seekingalpha.com/article/4134889-k-s-s-dividend-portfolio-4th-quarter-2017-update?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'My K.I.S.S. Dividend Portfolio: 4th Quarter 2017 Update', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 67.16000366210938, 'high': 68.33999633789062, 'open': 68.33999633789062, 'close': 67.30999755859375, 'ema_50': 66.35634352975728, 'rsi_14': 37.66234481118625, 'target': 68.27999877929688, 'volume': 2289300.0, 'ema_200': 61.80254748277254, 'adj_close': 62.12218475341797, 'rsi_lag_1': 42.46351919655057, 'rsi_lag_2': 48.51328278908722, 'rsi_lag_3': 49.92246393182977, 'rsi_lag_4': 57.032433802850115, 'rsi_lag_5': 55.30543981296924, 'macd_lag_1': 0.6819126120971362, 'macd_lag_2': 0.7805772114178353, 'macd_lag_3': 0.8686830998704949, 'macd_lag_4': 0.9623932423567965, 'macd_lag_5': 1.0221851423294623, 'macd_12_26_9': 0.5354153616969057, 'macds_12_26_9': 0.8667836947804902}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 68.27999877929688, '2018-01-04': 68.91999816894531, '2018-01-05': 68.70999908447266, '2018-01-08': 68.27999877929688, '2018-01-09': 67.81999969482422, '2018-01-10': 67.54000091552734, '2018-01-11': 66.86000061035156, '2018-01-12': 67.66000366210938, '2018-01-16': 68.26000213623047}, '1_month_later': {'2018-02-02': 66.5999984741211}, '3_months_later': {'2018-04-02': 60.31999969482422}, '6_months_later': {'2018-07-02': 68.04000091552734}, '12_months_later': {'2019-01-02': 65.06999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pays
{'date': '2018-01-02', 'ticker': 'pays', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.7099999785423279, 'high': 0.75, 'open': 0.7400000095367432, 'close': 0.7400000095367432, 'ema_50': 0.6505751546868845, 'rsi_14': 56.66667527623297, 'target': 0.7300000190734863, 'volume': 13100.0, 'ema_200': 0.5288764396143729, 'adj_close': 0.7400000095367432, 'rsi_lag_1': 58.06452419210169, 'rsi_lag_2': 56.66667527623297, 'rsi_lag_3': 50.0, 'rsi_lag_4': 46.42857142857143, 'rsi_lag_5': 42.30769230769231, 'macd_lag_1': 0.014699300613208233, 'macd_lag_2': 0.012251732787340042, 'macd_lag_3': 0.00996772004167501, 'macd_lag_4': 0.008943871972501571, 'macd_lag_5': 0.009543338538947066, 'macd_12_26_9': 0.01724711737284379, 'macds_12_26_9': 0.01516913324514517}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 0.7300000190734863, '2018-01-04': 0.7400000095367432, '2018-01-05': 0.75, '2018-01-08': 0.7099999785423279, '2018-01-09': 0.7400000095367432, '2018-01-10': 0.7400000095367432, '2018-01-11': 0.7200000286102295, '2018-01-12': 0.7200000286102295, '2018-01-16': 0.7400000095367432}, '1_month_later': {'2018-02-02': 0.75}, '3_months_later': {'2018-04-02': 1.159999966621399}, '6_months_later': {'2018-07-02': 2.450000047683716}, '12_months_later': {'2019-01-02': 3.5799999237060547}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAVM
{'date': '2018-01-02', 'ticker': 'PAVM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.5, 'high': 38.27999877929688, 'open': 35.400001525878906, 'close': 34.79999923706055, 'ema_50': 49.997765746871686, 'rsi_14': 32.3037246582727, 'target': 37.650001525878906, 'volume': 2747.0, 'ema_200': 69.60061391853557, 'adj_close': 34.79999923706055, 'rsi_lag_1': 29.38955219103103, 'rsi_lag_2': 22.710155825089288, 'rsi_lag_3': 32.20125035727807, 'rsi_lag_4': 25.1675816878398, 'rsi_lag_5': 27.594342911612856, 'macd_lag_1': -6.132218559381691, 'macd_lag_2': -6.421863194670472, 'macd_lag_3': -6.537782441380941, 'macd_lag_4': -6.825842286728125, 'macd_lag_5': -6.943026745970428, 'macd_12_26_9': -5.79352600993716, 'macds_12_26_9': -6.343752278246969}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 37.650001525878906, '2018-01-04': 39.75, '2018-01-05': 39.150001525878906, '2018-01-08': 38.84999847412109, '2018-01-09': 41.09999847412109, '2018-01-10': 48.150001525878906, '2018-01-11': 44.54999923706055, '2018-01-12': 44.400001525878906, '2018-01-16': 42.59999847412109}, '1_month_later': {'2018-02-02': 24.299999237060547}, '3_months_later': {'2018-04-02': 24.059999465942383}, '6_months_later': {'2018-07-02': 17.100000381469727}, '12_months_later': {'2019-01-02': 15.479999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAVE
{'date': '2018-01-02', 'ticker': 'PAVE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.825000762939453, 'high': 17.010000228881836, 'open': 16.940000534057614, 'close': 17.010000228881836, 'ema_50': 16.055946109106348, 'rsi_14': 73.80955520104057, 'target': 17.110000610351562, 'volume': 78700.0, 'ema_200': 15.226826308634623, 'adj_close': 16.714349746704098, 'rsi_lag_1': 64.5759441949805, 'rsi_lag_2': 73.1917720304214, 'rsi_lag_3': 73.80948544222665, 'rsi_lag_4': 72.97934113500568, 'rsi_lag_5': 61.466557701642365, 'macd_lag_1': 0.2639264939690129, 'macd_lag_2': 0.26717459692918766, 'macd_lag_3': 0.2613251449470688, 'macd_lag_4': 0.25514885553683087, 'macd_lag_5': 0.24762722873546394, 'macd_12_26_9': 0.2767215164553143, 'macds_12_26_9': 0.252467094205011}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 17.110000610351562, '2018-01-04': 17.170000076293945, '2018-01-05': 17.209999084472653, '2018-01-08': 17.358999252319336, '2018-01-09': 17.260000228881836, '2018-01-10': 17.184999465942386, '2018-01-11': 17.510000228881836, '2018-01-12': 17.569000244140625, '2018-01-16': 17.40999984741211}, '1_month_later': {'2018-02-02': 16.75}, '3_months_later': {'2018-04-02': 15.649999618530272}, '6_months_later': {'2018-07-02': 16.25}, '12_months_later': {'2019-01-02': 13.529999732971191}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PATK
{'date': '2018-01-02', 'ticker': 'PATK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/nci-building-up-22-in-3-months%3A-whats-driving-the-stock-2018-01-02', 'news_author': None, 'news_article': 'Shares of NCI Building Systems, Inc.NCS have been performing well of late. The integrated manufacturer of metal products for the North American non-residential construction industry has seen its shares surge around 22% in the past three months. The company has also outperformed its industry \'s growth of 9%.\nNCI Building has a market cap of roughly $1.29 billion and average volume of shares traded in the last three months is around 588K. The company has expected long-term earnings per share growth of 10%.\nLet\'s take a look into the factors that are driving this Zacks Rank #2 (Buy) stock of late.\nDriving Factors\nNCI Building\'s upbeat outlook, focus on growth strategy around insulated metal panels (IMP), along with investments in automation and process innovation are driving its share price.\nFor the first quarter of fiscal 2018, NCI Building estimates revenues to be in the range of $390-$410 million and adjusted EBITDA to be in the $24-$34 million range. It expects gross margins to improve in fiscal 2018 year due to improvements in cost structure. The company remains confident that fiscal 2018 will be a better year than fiscal 2017. It is poised to gain from success in leveraging IMP (insulated metal panel) product sales to the Components and Building groups. NCI Building projects business to improve over the next 12-18 months. Low-rise non-residential construction starts in fiscal 2018 are anticipated to grow in mid-single digits, with the adjustable markets for legacy businesses projected to be up in the range of 2-4%.\nNCI Building is well poised for long-term growth on the back of rising demand for key products and strategic actions. The company is focused on investments in automation and process innovation which will slash operating costs, improve margins, quality and service, as well as enhance long-term operational flexibility. It will also focus on continued improvement in manufacturing, and delivering further cost reductions with the Lean and Six Sigma initiatives across the entire business. The step will reduce excess operational back-office costs and simplify the business. Finally, NCI Building\'s focus on growth strategy around IMP and its ability to drive adjacent products across the engines of legacy distribution channels will support performance.\nThe company\'s capital expenditures, which accounted for 1.2% of revenues in fiscal 2017, are expected to be higher in fiscal 2018. The company anticipates growth expenditures to be in the range of $45-$55 million fiscal 2018 and to be funded from operating cash flow. Of this amount, almost half represents growth or productivity investments. The company expects growth and productivity investments to provide minimum returns of 25% or more.\nNCI Buildings\' estimates have gone up recently. The earnings estimate for fiscal 2018 has gone up 2% in the past 30 days to $1.07 per share. For fiscal 2019, the earnings estimate has moved up 5% to $1.39 per share.\nOther Stocks to Consider\nOther top-ranked stocks in the basic materials space include Armstrong World Industries, Inc. AWI , Owens Corning OC and Patrick Industries, Inc. PATK , all carrying a Zacks Rank #2. You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here .\nArmstrong World has a long term estimated earnings growth of 11.7%. Its shares have gained 43% in the past year.\nOwens Corning has expected long-term earnings growth of 15.3%. Its shares have rallied 77% in the past year.\nPatrick Industries has expected long-term earnings growth of 11.5%. Its shares have gained 35% over the past year.\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\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\nNCI Building Systems, Inc. (NCS): Free Stock Analysis Report\nArmstrong World Industries Inc (AWI): Free Stock Analysis Report\nOwens Corning Inc (OC): Free Stock Analysis Report\nPatrick Industries, Inc. (PATK): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\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.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Other Stocks to Consider Other top-ranked stocks in the basic materials space include Armstrong World Industries, Inc. AWI , Owens Corning OC and Patrick Industries, Inc. PATK , all carrying a Zacks Rank #2. Click to get this free report NCI Building Systems, Inc. (NCS): Free Stock Analysis Report Armstrong World Industries Inc (AWI): Free Stock Analysis Report Owens Corning Inc (OC): Free Stock Analysis Report Patrick Industries, Inc. (PATK): Free Stock Analysis Report To read this article on Zacks.com click here. It is poised to gain from success in leveraging IMP (insulated metal panel) product sales to the Components and Building groups.', 'news_luhn_summary': "Other Stocks to Consider Other top-ranked stocks in the basic materials space include Armstrong World Industries, Inc. AWI , Owens Corning OC and Patrick Industries, Inc. PATK , all carrying a Zacks Rank #2. Click to get this free report NCI Building Systems, Inc. (NCS): Free Stock Analysis Report Armstrong World Industries Inc (AWI): Free Stock Analysis Report Owens Corning Inc (OC): Free Stock Analysis Report Patrick Industries, Inc. (PATK): Free Stock Analysis Report To read this article on Zacks.com click here. Driving Factors NCI Building's upbeat outlook, focus on growth strategy around insulated metal panels (IMP), along with investments in automation and process innovation are driving its share price.", 'news_article_title': "NCI Building Up 22% in 3 Months: What's Driving the Stock?", 'news_lexrank_summary': 'Other Stocks to Consider Other top-ranked stocks in the basic materials space include Armstrong World Industries, Inc. AWI , Owens Corning OC and Patrick Industries, Inc. PATK , all carrying a Zacks Rank #2. Click to get this free report NCI Building Systems, Inc. (NCS): Free Stock Analysis Report Armstrong World Industries Inc (AWI): Free Stock Analysis Report Owens Corning Inc (OC): Free Stock Analysis Report Patrick Industries, Inc. (PATK): Free Stock Analysis Report To read this article on Zacks.com click here. The company has expected long-term earnings per share growth of 10%.', 'news_textrank_summary': "Other Stocks to Consider Other top-ranked stocks in the basic materials space include Armstrong World Industries, Inc. AWI , Owens Corning OC and Patrick Industries, Inc. PATK , all carrying a Zacks Rank #2. Click to get this free report NCI Building Systems, Inc. (NCS): Free Stock Analysis Report Armstrong World Industries Inc (AWI): Free Stock Analysis Report Owens Corning Inc (OC): Free Stock Analysis Report Patrick Industries, Inc. (PATK): Free Stock Analysis Report To read this article on Zacks.com click here. Driving Factors NCI Building's upbeat outlook, focus on growth strategy around insulated metal panels (IMP), along with investments in automation and process innovation are driving its share price."}, {'news_url': 'http://www.zacks.com/stock/news/287440/nci-building-up-22-in-3-months-whats-driving-the-stock?cid=CS-BENZ-FT-287440', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "NCI Building Up 22% in 3 Months: What's Driving the Stock?", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 69.4000015258789, 'high': 71.0, 'open': 70.3499984741211, 'close': 70.0, 'ema_50': 63.56524523154386, 'rsi_14': 65.80882765429882, 'target': 69.8499984741211, 'volume': 230800.0, 'ema_200': 54.78394724380522, 'adj_close': 68.99749755859375, 'rsi_lag_1': 63.71678394321188, 'rsi_lag_2': 66.99385979298987, 'rsi_lag_3': 64.6981434145433, 'rsi_lag_4': 63.4114591094353, 'rsi_lag_5': 62.83870068410539, 'macd_lag_1': 1.8357447634087691, 'macd_lag_2': 1.8222939476974176, 'macd_lag_3': 1.7480739565894652, 'macd_lag_4': 1.7450067930234923, 'macd_lag_5': 1.7258917228112693, 'macd_12_26_9': 1.869237870862321, 'macds_12_26_9': 1.7637217084640562}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 69.8499984741211, '2018-01-04': 67.0, '2018-01-05': 68.0, '2018-01-08': 66.5999984741211, '2018-01-09': 66.25, '2018-01-10': 65.5, '2018-01-11': 68.25, '2018-01-12': 67.75, '2018-01-16': 66.69999694824219}, '1_month_later': {'2018-02-02': 61.25}, '3_months_later': {'2018-04-02': 59.84999847412109}, '6_months_later': {'2018-07-02': 58.95000076293945}, '12_months_later': {'2019-01-02': 30.709999084472656}}
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.
PARR
{'date': '2018-01-02', 'ticker': 'PARR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.239999771118164, 'high': 19.670000076293945, 'open': 19.3799991607666, 'close': 19.6200008392334, 'ema_50': 19.94456518370281, 'rsi_14': 31.27274946732946, 'target': 19.100000381469727, 'volume': 611900.0, 'ema_200': 18.560608686716847, 'adj_close': 19.6200008392334, 'rsi_lag_1': 29.47764274510149, 'rsi_lag_2': 35.177858461093166, 'rsi_lag_3': 34.66133520572782, 'rsi_lag_4': 35.222638612932485, 'rsi_lag_5': 33.6099384741528, 'macd_lag_1': -0.19693249195459828, 'macd_lag_2': -0.16484328106397328, 'macd_lag_3': -0.14694260416627358, 'macd_lag_4': -0.1158482534029801, 'macd_lag_5': -0.09891182962036638, 'macd_12_26_9': -0.19270684738093635, 'macds_12_26_9': -0.12262972990634163}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.100000381469727, '2018-01-04': 19.100000381469727, '2018-01-05': 18.82999992370605, '2018-01-08': 18.989999771118164, '2018-01-09': 18.979999542236328, '2018-01-10': 18.89999961853028, '2018-01-11': 18.739999771118164, '2018-01-12': 18.93000030517578, '2018-01-16': 18.280000686645508}, '1_month_later': {'2018-02-02': 16.84000015258789}, '3_months_later': {'2018-04-02': 17.1200008392334}, '6_months_later': {'2018-07-02': 17.34000015258789}, '12_months_later': {'2019-01-02': 14.140000343322754}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAR
{'date': '2018-01-02', 'ticker': 'PAR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.199999809265137, 'high': 9.369999885559082, 'open': 9.350000381469728, 'close': 9.199999809265137, 'ema_50': 9.178000712994423, 'rsi_14': 61.93181879756854, 'target': 9.210000038146973, 'volume': 30100.0, 'ema_200': 8.802119097715634, 'adj_close': 9.199999809265137, 'rsi_lag_1': 63.005805838472924, 'rsi_lag_2': 63.63636363636363, 'rsi_lag_3': 72.91668011911, 'rsi_lag_4': 65.12818606725702, 'rsi_lag_5': 72.1590924484677, 'macd_lag_1': 0.12190304073999769, 'macd_lag_2': 0.11463681147289684, 'macd_lag_3': 0.11489507827725731, 'macd_lag_4': 0.10133534933022759, 'macd_lag_5': 0.09579061095429431, 'macd_12_26_9': 0.11424088935471133, 'macds_12_26_9': 0.06731817397521757}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.210000038146973, '2018-01-04': 9.199999809265137, '2018-01-05': 9.300000190734863, '2018-01-08': 9.229999542236328, '2018-01-09': 8.880000114440918, '2018-01-10': 8.739999771118164, '2018-01-11': 8.789999961853027, '2018-01-12': 8.670000076293945, '2018-01-16': 8.680000305175781}, '1_month_later': {'2018-02-02': 9.1899995803833}, '3_months_later': {'2018-04-02': 14.010000228881836}, '6_months_later': {'2018-07-02': 17.1299991607666}, '12_months_later': {'2019-01-02': 22.270000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PANW
{'date': '2018-01-02', 'ticker': 'PANW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/implied-ign-analyst-target-price-54-2018-01-02', 'news_author': None, 'news_article': "Looking at the underlying holdings of the ETFs in our coverage universe at ETF Channel , we have compared the trading price of each holding against the average analyst 12-month forward target price, and computed the weighted average implied analyst target price for the ETF itself. For the iShares North American Tech-Multimedia Networking ETF (Symbol: IGN), we found that the implied analyst target price for the ETF based upon its underlying holdings is $53.97 per unit.\nWith IGN trading at a recent price near $48.48 per unit, that means that analysts see 11.32% upside for this ETF looking through to the average analyst targets of the underlying holdings. Three of IGN's underlying holdings with notable upside to their analyst target prices are Palo Alto Networks, Inc (Symbol: PANW), NetScout Systems Inc (Symbol: NTCT), and Plantronics, Inc. (Symbol: PLT). Although PANW has traded at a recent price of $144.94/share, the average analyst target is 17.39% higher at $170.14/share. Similarly, NTCT has 13.30% upside from the recent share price of $30.45 if the average analyst target price of $34.50/share is reached, and analysts on average are expecting PLT to reach a target price of $56.33/share, which is 11.82% above the recent price of $50.38. Below is a twelve month price history chart comparing the stock performance of PANW, NTCT, and PLT:\nCombined, PANW, NTCT, and PLT represent 13.72% of the iShares North American Tech-Multimedia Networking ETF. Below is a summary table of the current analyst target prices discussed above:\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.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Although PANW has traded at a recent price of $144.94/share, the average analyst target is 17.39% higher at $170.14/share. Below is a twelve month price history chart comparing the stock performance of PANW, NTCT, and PLT: Combined, PANW, NTCT, and PLT represent 13.72% of the iShares North American Tech-Multimedia Networking ETF. Three of IGN's underlying holdings with notable upside to their analyst target prices are Palo Alto Networks, Inc (Symbol: PANW), NetScout Systems Inc (Symbol: NTCT), and Plantronics, Inc. (Symbol: PLT).", 'news_luhn_summary': "Below is a twelve month price history chart comparing the stock performance of PANW, NTCT, and PLT: Combined, PANW, NTCT, and PLT represent 13.72% of the iShares North American Tech-Multimedia Networking ETF. Three of IGN's underlying holdings with notable upside to their analyst target prices are Palo Alto Networks, Inc (Symbol: PANW), NetScout Systems Inc (Symbol: NTCT), and Plantronics, Inc. (Symbol: PLT). Although PANW has traded at a recent price of $144.94/share, the average analyst target is 17.39% higher at $170.14/share.", 'news_article_title': 'Implied IGN Analyst Target Price: $54', 'news_lexrank_summary': "Below is a twelve month price history chart comparing the stock performance of PANW, NTCT, and PLT: Combined, PANW, NTCT, and PLT represent 13.72% of the iShares North American Tech-Multimedia Networking ETF. Three of IGN's underlying holdings with notable upside to their analyst target prices are Palo Alto Networks, Inc (Symbol: PANW), NetScout Systems Inc (Symbol: NTCT), and Plantronics, Inc. (Symbol: PLT). Although PANW has traded at a recent price of $144.94/share, the average analyst target is 17.39% higher at $170.14/share.", 'news_textrank_summary': "Three of IGN's underlying holdings with notable upside to their analyst target prices are Palo Alto Networks, Inc (Symbol: PANW), NetScout Systems Inc (Symbol: NTCT), and Plantronics, Inc. (Symbol: PLT). Although PANW has traded at a recent price of $144.94/share, the average analyst target is 17.39% higher at $170.14/share. Below is a twelve month price history chart comparing the stock performance of PANW, NTCT, and PLT: Combined, PANW, NTCT, and PLT represent 13.72% of the iShares North American Tech-Multimedia Networking ETF."}, {'news_url': 'https://www.nasdaq.com/articles/noteworthy-tuesday-option-activity-mnk-panw-apa-2018-01-02', 'news_author': None, 'news_article': "Among the underlying components of the Russell 3000 index, we saw noteworthy options trading volume today in Mallinckrodt plc (Symbol: MNK), where a total of 20,693 contracts have traded so far, representing approximately 2.1 million underlying shares. That amounts to about 65.5% of MNK's average daily trading volume over the past month of 3.2 million shares. Particularly high volume was seen for the $17.50 strike put option expiring April 20, 2018 , with 17,187 contracts trading so far today, representing approximately 1.7 million underlying shares of MNK. Below is a chart showing MNK's trailing twelve month trading history, with the $17.50 strike highlighted in orange:\nPalo Alto Networks, Inc (Symbol: PANW) options are showing a volume of 5,753 contracts thus far today. That number of contracts represents approximately 575,300 underlying shares, working out to a sizeable 60% of PANW's average daily trading volume over the past month, of 959,595 shares. Especially high volume was seen for the $125 strike put option expiring January 18, 2019 , with 642 contracts trading so far today, representing approximately 64,200 underlying shares of PANW. Below is a chart showing PANW's trailing twelve month trading history, with the $125 strike highlighted in orange:\nAnd Apache Corp (Symbol: APA) options are showing a volume of 19,452 contracts thus far today. That number of contracts represents approximately 1.9 million underlying shares, working out to a sizeable 59% of APA's average daily trading volume over the past month, of 3.3 million shares. Especially high volume was seen for the $47.50 strike call option expiring February 16, 2018 , with 3,480 contracts trading so far today, representing approximately 348,000 underlying shares of APA. Below is a chart showing APA's trailing twelve month trading history, with the $47.50 strike highlighted in orange:\nFor the various different available expirations for MNK options , PANW options , or APA options , visit StockOptionsChannel.com.\nToday's Most Active Call & Put Options of the S&P 500 »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, 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': "Especially high volume was seen for the $125 strike put option expiring January 18, 2019 , with 642 contracts trading so far today, representing approximately 64,200 underlying shares of PANW. Below is a chart showing MNK's trailing twelve month trading history, with the $17.50 strike highlighted in orange: Palo Alto Networks, Inc (Symbol: PANW) options are showing a volume of 5,753 contracts thus far today. That number of contracts represents approximately 575,300 underlying shares, working out to a sizeable 60% of PANW's average daily trading volume over the past month, of 959,595 shares.", 'news_luhn_summary': "That number of contracts represents approximately 575,300 underlying shares, working out to a sizeable 60% of PANW's average daily trading volume over the past month, of 959,595 shares. Below is a chart showing PANW's trailing twelve month trading history, with the $125 strike highlighted in orange: And Apache Corp (Symbol: APA) options are showing a volume of 19,452 contracts thus far today. Below is a chart showing MNK's trailing twelve month trading history, with the $17.50 strike highlighted in orange: Palo Alto Networks, Inc (Symbol: PANW) options are showing a volume of 5,753 contracts thus far today.", 'news_article_title': 'Noteworthy Tuesday Option Activity: MNK, PANW, APA', 'news_lexrank_summary': "Below is a chart showing APA's trailing twelve month trading history, with the $47.50 strike highlighted in orange: For the various different available expirations for MNK options , PANW options , or APA options , visit StockOptionsChannel.com. Below is a chart showing MNK's trailing twelve month trading history, with the $17.50 strike highlighted in orange: Palo Alto Networks, Inc (Symbol: PANW) options are showing a volume of 5,753 contracts thus far today. That number of contracts represents approximately 575,300 underlying shares, working out to a sizeable 60% of PANW's average daily trading volume over the past month, of 959,595 shares.", 'news_textrank_summary': "Below is a chart showing MNK's trailing twelve month trading history, with the $17.50 strike highlighted in orange: Palo Alto Networks, Inc (Symbol: PANW) options are showing a volume of 5,753 contracts thus far today. That number of contracts represents approximately 575,300 underlying shares, working out to a sizeable 60% of PANW's average daily trading volume over the past month, of 959,595 shares. Especially high volume was seen for the $125 strike put option expiring January 18, 2019 , with 642 contracts trading so far today, representing approximately 64,200 underlying shares of PANW."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 145.10000610351562, 'high': 148.8699951171875, 'open': 146.0, 'close': 148.5500030517578, 'ema_50': 145.19441957870924, 'rsi_14': 64.46934713095503, 'target': 149.67999267578125, 'volume': 763000.0, 'ema_200': 139.5064023048544, 'adj_close': 148.5500030517578, 'rsi_lag_1': 54.43788203397177, 'rsi_lag_2': 68.43061501514043, 'rsi_lag_3': 71.89274483141597, 'rsi_lag_4': 62.77477898526414, 'rsi_lag_5': 62.329767182563906, 'macd_lag_1': 0.3904985777253671, 'macd_lag_2': 0.5453454869097243, 'macd_lag_3': 0.5385458078340264, 'macd_lag_4': 0.5332336132992737, 'macd_lag_5': 0.5767327518343279, 'macd_12_26_9': 0.5527069046577537, 'macds_12_26_9': 0.44470950184991703}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 149.67999267578125, '2018-01-04': 149.25999450683594, '2018-01-05': 152.97000122070312, '2018-01-08': 153.64999389648438, '2018-01-09': 152.2899932861328, '2018-01-10': 153.05999755859375, '2018-01-11': 154.16000366210938, '2018-01-12': 153.52000427246094, '2018-01-16': 151.60000610351562}, '1_month_later': {'2018-02-02': 155.17999267578125}, '3_months_later': {'2018-04-02': 180.13999938964844}, '6_months_later': {'2018-07-02': 209.44000244140625}, '12_months_later': {'2019-01-02': 183.2100067138672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PANL
{'date': '2018-01-02', 'ticker': 'PANL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.328000068664551, 'high': 3.680000066757202, 'open': 3.5899999141693115, 'close': 3.369999885559082, 'ema_50': 3.6801631373674972, 'rsi_14': 38.68864652102655, 'target': 3.359999895095825, 'volume': 78300.0, 'ema_200': 3.1563087838866144, 'adj_close': 3.264615297317505, 'rsi_lag_1': 47.558993085860386, 'rsi_lag_2': 51.31694350295731, 'rsi_lag_3': 55.604483223892714, 'rsi_lag_4': 50.0, 'rsi_lag_5': 44.12479802526038, 'macd_lag_1': 0.0007769168076703359, 'macd_lag_2': 0.023641790263404516, 'macd_lag_3': 0.019899991321990385, 'macd_lag_4': 0.014834640799356258, 'macd_lag_5': 0.009171815840554043, 'macd_12_26_9': -0.041875370773826415, 'macds_12_26_9': 0.029224645833995814}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.359999895095825, '2018-01-04': 3.380000114440918, '2018-01-05': 3.359999895095825, '2018-01-08': 3.240000009536743, '2018-01-09': 2.8399999141693115, '2018-01-10': 2.634999990463257, '2018-01-11': 2.7669999599456787, '2018-01-12': 2.799999952316284, '2018-01-16': 2.700000047683716}, '1_month_later': {'2018-02-02': 2.380000114440918}, '3_months_later': {'2018-04-02': 2.5199999809265137}, '6_months_later': {'2018-07-02': 2.950000047683716}, '12_months_later': {'2019-01-02': 2.811000108718872}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAK
{'date': '2018-01-02', 'ticker': 'PAK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.2400016784668, 'high': 50.88000106811523, 'open': 50.88000106811523, 'close': 50.47999954223633, 'ema_50': 53.67157360964162, 'rsi_14': 44.77124590403043, 'target': 50.4000015258789, 'volume': 9400.0, 'ema_200': 59.70361200332657, 'adj_close': 46.11458587646485, 'rsi_lag_1': 34.451225805963915, 'rsi_lag_2': 34.250747045212364, 'rsi_lag_3': 40.28776287384148, 'rsi_lag_4': 40.714268684370964, 'rsi_lag_5': 36.80781678008258, 'macd_lag_1': -1.2386790399810366, 'macd_lag_2': -1.1946919615654252, 'macd_lag_3': -1.0437890808941646, 'macd_lag_4': -1.2229091463851773, 'macd_lag_5': -1.3522888589400424, 'macd_12_26_9': -1.1824447267022293, 'macds_12_26_9': -1.2262362797393602}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 50.4000015258789, '2018-01-04': 51.43999862670898, '2018-01-05': 52.11999893188477, '2018-01-08': 52.68000030517578, '2018-01-09': 52.08000183105469, '2018-01-10': 53.15999984741211, '2018-01-11': 52.59999847412109, '2018-01-12': 52.27999877929688, '2018-01-16': 52.27999877929688}, '1_month_later': {'2018-02-02': 51.91999816894531}, '3_months_later': {'2018-04-02': 52.15999984741211}, '6_months_later': {'2018-07-02': 43.959999084472656}, '12_months_later': {'2019-01-02': 32.799999237060554}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAI
{'date': '2018-01-02', 'ticker': 'PAI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.729999542236328, 'high': 15.829999923706056, 'open': 15.829999923706056, 'close': 15.729999542236328, 'ema_50': 15.691281165361561, 'rsi_14': 66.66663550082424, 'target': 15.579999923706056, 'volume': 11300.0, 'ema_200': 15.431290326291016, 'adj_close': 14.010671615600586, 'rsi_lag_1': 69.38778886398755, 'rsi_lag_2': 66.01943275754797, 'rsi_lag_3': 56.41025014019866, 'rsi_lag_4': 57.851267678455436, 'rsi_lag_5': 54.621835943917546, 'macd_lag_1': 0.03864399478114855, 'macd_lag_2': 0.02657719965482208, 'macd_lag_3': 0.009770798576091977, 'macd_lag_4': -0.009785991080480727, 'macd_lag_5': -0.019332536121519084, 'macd_12_26_9': 0.039680410734034055, 'macds_12_26_9': 0.0017472269476837463}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.579999923706056, '2018-01-04': 15.550000190734863, '2018-01-05': 15.470000267028809, '2018-01-08': 15.699999809265137, '2018-01-09': 15.619999885559082, '2018-01-10': 15.460000038146973, '2018-01-11': 15.369999885559082, '2018-01-12': 15.34000015258789, '2018-01-16': 15.399999618530272}, '1_month_later': {'2018-02-02': 14.8100004196167}, '3_months_later': {'2018-04-02': 13.880000114440918}, '6_months_later': {'2018-07-02': 13.699999809265137}, '12_months_later': {'2019-01-02': 13.520000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pagp
{'date': '2018-01-02', 'ticker': 'pagp', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.940000534057617, 'high': 22.61000061035156, 'open': 22.15999984741211, 'close': 22.5, 'ema_50': 21.3707685637413, 'rsi_14': 78.76453620030293, 'target': 23.170000076293945, 'volume': 1002200.0, 'ema_200': 24.22016662432576, 'adj_close': 14.736406326293944, 'rsi_lag_1': 77.27280250635457, 'rsi_lag_2': 80.68671214295479, 'rsi_lag_3': 83.33336945739492, 'rsi_lag_4': 73.08975004831744, 'rsi_lag_5': 63.4615619742556, 'macd_lag_1': 0.34732052863705576, 'macd_lag_2': 0.3518025609906843, 'macd_lag_3': 0.34222447312439286, 'macd_lag_4': 0.32400333442527796, 'macd_lag_5': 0.2827972874132101, 'macd_12_26_9': 0.3837254791381923, 'macds_12_26_9': 0.2858275605015479}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.170000076293945, '2018-01-04': 23.0, '2018-01-05': 22.84000015258789, '2018-01-08': 22.90999984741211, '2018-01-09': 22.920000076293945, '2018-01-10': 23.459999084472656, '2018-01-11': 23.979999542236328, '2018-01-12': 24.13999938964844, '2018-01-16': 23.40999984741211}, '1_month_later': {'2018-02-02': 20.559999465942383}, '3_months_later': {'2018-04-02': 21.51000022888184}, '6_months_later': {'2018-07-02': 23.530000686645508}, '12_months_later': {'2019-01-02': 20.64999961853028}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pag
{'date': '2018-01-02', 'ticker': 'pag', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': 'Q3', 'sec_fy': 2018.0, 'sec_rn': 1.0, 'sec_end': '2018-01-02', 'sec_form': '10-Q', 'sec_label': 'Inventory, Net', 'sec_units': 'USD', 'sec_value': 3930700000.0, 'sec_entity': 'Penske Automotive Group, Inc.'}, 'stock_metrics': {'low': 47.43000030517578, 'high': 48.130001068115234, 'open': 47.97999954223633, 'close': 47.84000015258789, 'ema_50': 47.28361842455907, 'rsi_14': 46.16896772423882, 'target': 48.209999084472656, 'volume': 564500.0, 'ema_200': 45.865510615179055, 'adj_close': 41.67487335205078, 'rsi_lag_1': 46.168933122988136, 'rsi_lag_2': 45.71986038513576, 'rsi_lag_3': 53.26632587859425, 'rsi_lag_4': 49.687522538014306, 'rsi_lag_5': 40.6451517634985, 'macd_lag_1': 0.21489585333981154, 'macd_lag_2': 0.2509563611339729, 'macd_lag_3': 0.28518676666737974, 'macd_lag_4': 0.3298198718064711, 'macd_lag_5': 0.34533595663101124, 'macd_12_26_9': 0.18339677624668838, 'macds_12_26_9': 0.2846864124557895}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 48.209999084472656, '2018-01-04': 48.52000045776367, '2018-01-05': 49.77999877929688, '2018-01-08': 51.130001068115234, '2018-01-09': 50.77000045776367, '2018-01-10': 50.84000015258789, '2018-01-11': 52.2599983215332, '2018-01-12': 53.310001373291016, '2018-01-16': 52.25}, '1_month_later': {'2018-02-02': 50.869998931884766}, '3_months_later': {'2018-04-02': 42.150001525878906}, '6_months_later': {'2018-07-02': 47.22999954223633}, '12_months_later': {'2019-01-02': 41.02999877929688}}
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.
PACW
{'date': '2018-01-02', 'ticker': 'PACW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/analyst-ratings/analyst-color/18/01/10972142/stephens-analysts-present-their-best-ideas-for-2018', 'news_author': None, 'news_article': None, 'news_publisher': 'Jayson Derrick', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Stephens' Analysts Present Their Best Ideas For 2018", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134820-banks-big-winners-next-year?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Banks Are The Big Winners Next Year', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.11000061035156, 'high': 51.04999923706055, 'open': 50.65999984741211, 'close': 50.43999862670898, 'ema_50': 48.062954705902314, 'rsi_14': 62.550866924568396, 'target': 50.25, 'volume': 1179700.0, 'ema_200': 47.86485023462632, 'adj_close': 43.78392028808594, 'rsi_lag_1': 67.90697468107382, 'rsi_lag_2': 63.3674688520805, 'rsi_lag_3': 64.26192611259148, 'rsi_lag_4': 62.86043271064758, 'rsi_lag_5': 60.287587513287036, 'macd_lag_1': 0.9075011216979263, 'macd_lag_2': 0.888226570522896, 'macd_lag_3': 0.878196530787811, 'macd_lag_4': 0.8556755946484316, 'macd_lag_5': 0.8501207085097988, 'macd_12_26_9': 0.9154510245742387, 'macds_12_26_9': 0.7878108172044308}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 50.25, '2018-01-04': 50.52000045776367, '2018-01-05': 50.79999923706055, '2018-01-08': 50.59999847412109, '2018-01-09': 51.68999862670898, '2018-01-10': 52.119998931884766, '2018-01-11': 52.63999938964844, '2018-01-12': 53.0099983215332, '2018-01-16': 52.09999847412109}, '1_month_later': {'2018-02-02': 52.869998931884766}, '3_months_later': {'2018-04-02': 48.290000915527344}, '6_months_later': {'2018-07-02': 49.65999984741211}, '12_months_later': {'2019-01-02': 33.4900016784668}}
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.
pacb
{'date': '2018-01-02', 'ticker': 'pacb', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.609999895095825, 'high': 2.8299999237060547, 'open': 2.6700000762939453, 'close': 2.789999961853028, 'ema_50': 3.1703823466714374, 'rsi_14': 52.475245187544566, 'target': 2.690000057220459, 'volume': 811500.0, 'ema_200': 4.1645959721326165, 'adj_close': 2.789999961853028, 'rsi_lag_1': 42.69663703936666, 'rsi_lag_2': 45.78313737532219, 'rsi_lag_3': 35.52631372560093, 'rsi_lag_4': 33.33332352187139, 'rsi_lag_5': 31.395350449017116, 'macd_lag_1': -0.14536766935514933, 'macd_lag_2': -0.14847423681363958, 'macd_lag_3': -0.1563888063718304, 'macd_lag_4': -0.15301591528468217, 'macd_lag_5': -0.14852155540546308, 'macd_12_26_9': -0.12931133681078189, 'macds_12_26_9': -0.15707952332274072}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.690000057220459, '2018-01-04': 2.7100000381469727, '2018-01-05': 2.7699999809265137, '2018-01-08': 2.720000028610229, '2018-01-09': 2.7300000190734863, '2018-01-10': 2.630000114440918, '2018-01-11': 2.5199999809265137, '2018-01-12': 2.720000028610229, '2018-01-16': 2.650000095367432}, '1_month_later': {'2018-02-02': 2.700000047683716}, '3_months_later': {'2018-04-02': 2.109999895095825}, '6_months_later': {'2018-07-02': 3.5899999141693115}, '12_months_later': {'2019-01-02': 7.400000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PAC
{'date': '2018-01-02', 'ticker': 'PAC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 102.97000122070312, 'high': 104.91999816894533, 'open': 103.18000030517578, 'close': 104.56999969482422, 'ema_50': 101.08072002190117, 'rsi_14': 51.59999725342007, 'target': 105.9499969482422, 'volume': 121700.0, 'ema_200': 101.09646995453362, 'adj_close': 92.74046325683594, 'rsi_lag_1': 47.276690807003064, 'rsi_lag_2': 38.270170883924706, 'rsi_lag_3': 37.45494944721191, 'rsi_lag_4': 35.42136806130624, 'rsi_lag_5': 33.804310778771296, 'macd_lag_1': 0.9608073504406605, 'macd_lag_2': 1.0316379336051114, 'macd_lag_3': 1.2200561155910634, 'macd_lag_4': 1.4621456638604826, 'macd_lag_5': 1.750890786048032, 'macd_12_26_9': 1.0387512019182736, 'macds_12_26_9': 1.4487859245051886}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 105.9499969482422, '2018-01-04': 106.3499984741211, '2018-01-05': 107.63999938964844, '2018-01-08': 107.30999755859376, '2018-01-09': 106.0500030517578, '2018-01-10': 102.63999938964844, '2018-01-11': 101.66999816894533, '2018-01-12': 102.12000274658205, '2018-01-16': 104.18000030517578}, '1_month_later': {'2018-02-02': 102.93000030517578}, '3_months_later': {'2018-04-02': 98.93000030517578}, '6_months_later': {'2018-07-02': 90.8499984741211}, '12_months_later': {'2019-01-02': 84.58999633789062}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PDM
{'date': '2018-01-02', 'ticker': 'PDM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.549999237060547, 'high': 19.71999931335449, 'open': 19.68000030517578, 'close': 19.56999969482422, 'ema_50': 19.90967576690143, 'rsi_14': 38.06818120243138, 'target': 19.51000022888184, 'volume': 871000.0, 'ema_200': 20.38567395938829, 'adj_close': 17.572620391845703, 'rsi_lag_1': 40.00004359654006, 'rsi_lag_2': 43.75002031976248, 'rsi_lag_3': 46.19566907503953, 'rsi_lag_4': 46.19566907503953, 'rsi_lag_5': 37.31342858688263, 'macd_lag_1': -0.08462606916330273, 'macd_lag_2': -0.07474337286294741, 'macd_lag_3': -0.06715131887570536, 'macd_lag_4': -0.04019345723001777, 'macd_lag_5': -0.015382647828555918, 'macd_12_26_9': -0.09459547896589982, 'macds_12_26_9': -0.04543018098589612}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.51000022888184, '2018-01-04': 19.049999237060547, '2018-01-05': 19.209999084472656, '2018-01-08': 19.200000762939453, '2018-01-09': 19.07999992370605, '2018-01-10': 19.14999961853028, '2018-01-11': 19.299999237060547, '2018-01-12': 19.270000457763672, '2018-01-16': 19.43000030517578}, '1_month_later': {'2018-02-02': 19.01000022888184}, '3_months_later': {'2018-04-02': 17.5}, '6_months_later': {'2018-07-02': 19.76000022888184}, '12_months_later': {'2019-01-02': 16.760000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
OSUR
{'date': '2018-01-02', 'ticker': 'OSUR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.780000686645508, 'high': 19.489999771118164, 'open': 18.89999961853028, 'close': 19.290000915527344, 'ema_50': 17.941741767070635, 'rsi_14': 78.9317712312872, 'target': 19.040000915527344, 'volume': 793000.0, 'ema_200': 16.768324630670424, 'adj_close': 19.290000915527344, 'rsi_lag_1': 75.08417703025091, 'rsi_lag_2': 75.25084188078611, 'rsi_lag_3': 78.07807876609922, 'rsi_lag_4': 78.273814761181, 'rsi_lag_5': 86.5131585138989, 'macd_lag_1': 0.5359797415761207, 'macd_lag_2': 0.5312875831744748, 'macd_lag_3': 0.5308073358128382, 'macd_lag_4': 0.5214553264460093, 'macd_lag_5': 0.5426611909016685, 'macd_12_26_9': 0.5678499214595156, 'macds_12_26_9': 0.4608893427498051}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.040000915527344, '2018-01-04': 19.25, '2018-01-05': 19.64999961853028, '2018-01-08': 19.290000915527344, '2018-01-09': 19.420000076293945, '2018-01-10': 19.38999938964844, '2018-01-11': 19.75, '2018-01-12': 19.809999465942383, '2018-01-16': 20.46999931335449}, '1_month_later': {'2018-02-02': 21.549999237060547}, '3_months_later': {'2018-04-02': 16.649999618530273}, '6_months_later': {'2018-07-02': 16.75}, '12_months_later': {'2019-01-02': 11.670000076293944}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PDS
{'date': '2018-01-02', 'ticker': 'PDS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.059999942779541, 'high': 3.240000009536743, 'open': 3.059999942779541, 'close': 3.2100000381469727, 'ema_50': 2.7907829268601203, 'rsi_14': 68.90756790773239, 'target': 3.2699999809265137, 'volume': 3217900.0, 'ema_200': 3.247153140736997, 'adj_close': 3.2100000381469727, 'rsi_lag_1': 65.74074135395742, 'rsi_lag_2': 67.59259197937592, 'rsi_lag_3': 65.00000119209317, 'rsi_lag_4': 55.454552745033126, 'rsi_lag_5': 46.36362789090742, 'macd_lag_1': 0.057542547151642864, 'macd_lag_2': 0.04350725196881111, 'macd_lag_3': 0.02292391712156938, 'macd_lag_4': 0.005482285837469458, 'macd_lag_5': -0.012786597043201287, 'macd_12_26_9': 0.08303980523952026, 'macds_12_26_9': 0.02409027469007359}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.2699999809265137, '2018-01-04': 3.299999952316284, '2018-01-05': 3.259999990463257, '2018-01-08': 3.319999933242798, '2018-01-09': 3.359999895095825, '2018-01-10': 3.3499999046325684, '2018-01-11': 3.5999999046325684, '2018-01-12': 3.7100000381469727, '2018-01-16': 3.539999961853028}, '1_month_later': {'2018-02-02': 3.569999933242798}, '3_months_later': {'2018-04-02': 2.650000095367432}, '6_months_later': {'2018-07-02': 3.2100000381469727}, '12_months_later': {'2019-01-02': 1.809999942779541}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHD
{'date': '2018-01-02', 'ticker': 'PHD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.40999984741211, 'high': 11.510000228881836, 'open': 11.5, 'close': 11.5, 'ema_50': 11.603736820577565, 'rsi_14': 40.38462243838741, 'target': 11.579999923706056, 'volume': 81600.0, 'ema_200': 11.790918122355615, 'adj_close': 9.701594352722168, 'rsi_lag_1': 36.73475345705088, 'rsi_lag_2': 26.19049781564199, 'rsi_lag_3': 26.82936473784484, 'rsi_lag_4': 43.90242767790067, 'rsi_lag_5': 51.11113465858516, 'macd_lag_1': -0.04622728037423052, 'macd_lag_2': -0.04896040087815656, 'macd_lag_3': -0.044609366461449085, 'macd_lag_4': -0.04146161620677802, 'macd_lag_5': -0.04396810584627353, 'macd_12_26_9': -0.04116599894041251, 'macds_12_26_9': -0.04635546261963709}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.579999923706056, '2018-01-04': 11.539999961853027, '2018-01-05': 11.470000267028809, '2018-01-08': 11.510000228881836, '2018-01-09': 11.5, '2018-01-10': 11.460000038146973, '2018-01-11': 11.449999809265137, '2018-01-12': 11.550000190734863, '2018-01-16': 11.619999885559082}, '1_month_later': {'2018-02-02': 11.5600004196167}, '3_months_later': {'2018-04-02': 11.630000114440918}, '6_months_later': {'2018-07-02': 11.130000114440918}, '12_months_later': {'2019-01-02': 10.039999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHB
{'date': '2018-01-02', 'ticker': 'PHB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.93000030517578, 'high': 19.0, 'open': 18.940000534057617, 'close': 18.96999931335449, 'ema_50': 18.950297872636373, 'rsi_14': 53.84604098400701, 'target': 19.01000022888184, 'volume': 6312900.0, 'ema_200': 18.929409095020002, 'adj_close': 17.076412200927734, 'rsi_lag_1': 51.351393148954806, 'rsi_lag_2': 51.351393148954806, 'rsi_lag_3': 54.285558583106265, 'rsi_lag_4': 50.0, 'rsi_lag_5': 38.70963772396211, 'macd_lag_1': -0.0081802353595819, 'macd_lag_2': -0.01188696668008049, 'macd_lag_3': -0.013390587046256286, 'macd_lag_4': -0.019187607516617078, 'macd_lag_5': -0.025289610251530092, 'macd_12_26_9': -0.0035875531197042676, 'macds_12_26_9': -0.01286745626845064}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.01000022888184, '2018-01-04': 19.01000022888184, '2018-01-05': 19.030000686645508, '2018-01-08': 19.020000457763672, '2018-01-09': 19.01000022888184, '2018-01-10': 18.96999931335449, '2018-01-11': 19.01000022888184, '2018-01-12': 18.96999931335449, '2018-01-16': 18.96999931335449}, '1_month_later': {'2018-02-02': 18.690000534057617}, '3_months_later': {'2018-04-02': 18.51000022888184}, '6_months_later': {'2018-07-02': 18.309999465942383}, '12_months_later': {'2019-01-02': 17.65999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGZ
{'date': '2018-01-02', 'ticker': 'PGZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.200000762939453, 'high': 17.299999237060547, 'open': 17.25, 'close': 17.200000762939453, 'ema_50': 17.282208438089604, 'rsi_14': 55.76929778067957, 'target': 17.3799991607666, 'volume': 21500.0, 'ema_200': 17.547411538381123, 'adj_close': 14.233710289001465, 'rsi_lag_1': 55.33986155914476, 'rsi_lag_2': 52.999990463202266, 'rsi_lag_3': 44.24780105427864, 'rsi_lag_4': 46.29628648479679, 'rsi_lag_5': 50.8771313413208, 'macd_lag_1': -0.018158836429730485, 'macd_lag_2': -0.024244973005242088, 'macd_lag_3': -0.02758762177330709, 'macd_lag_4': -0.028398361446704712, 'macd_lag_5': -0.037165539786148116, 'macd_12_26_9': -0.012385818444901275, 'macds_12_26_9': -0.02982168183503526}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 17.3799991607666, '2018-01-04': 17.3700008392334, '2018-01-05': 17.459999084472656, '2018-01-08': 17.610000610351562, '2018-01-09': 17.40999984741211, '2018-01-10': 17.15999984741211, '2018-01-11': 17.040000915527344, '2018-01-12': 17.149999618530273, '2018-01-16': 17.219999313354492}, '1_month_later': {'2018-02-02': 16.989999771118164}, '3_months_later': {'2018-04-02': 16.639999389648438}, '6_months_later': {'2018-07-02': 17.719999313354492}, '12_months_later': {'2019-01-02': 16.059999465942383}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGX
{'date': '2018-01-02', 'ticker': 'PGX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/news/3320744-todays-preferred-stock-funds-performance?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Today's preferred stock funds performance", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.699999809265137, 'high': 14.899999618530272, 'open': 14.880000114440918, 'close': 14.739999771118164, 'ema_50': 14.966379269024724, 'rsi_14': 20.370308231093546, 'target': 14.760000228881836, 'volume': 13618500.0, 'ema_200': 14.96838007292464, 'adj_close': 12.834897994995115, 'rsi_lag_1': 25.581354086501108, 'rsi_lag_2': 30.95231607629492, 'rsi_lag_3': 37.209183696101, 'rsi_lag_4': 35.71412352406924, 'rsi_lag_5': 39.47351909992827, 'macd_lag_1': -0.027911214107241733, 'macd_lag_2': -0.02303066925365549, 'macd_lag_3': -0.019520943091658083, 'macd_lag_4': -0.016793628398110272, 'macd_lag_5': -0.012050107017312683, 'macd_12_26_9': -0.04098956673960963, 'macds_12_26_9': -0.01928409143531239}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.760000228881836, '2018-01-04': 14.779999732971191, '2018-01-05': 14.8100004196167, '2018-01-08': 14.850000381469728, '2018-01-09': 14.850000381469728, '2018-01-10': 14.829999923706056, '2018-01-11': 14.850000381469728, '2018-01-12': 14.81999969482422, '2018-01-16': 14.770000457763672}, '1_month_later': {'2018-02-02': 14.3100004196167}, '3_months_later': {'2018-04-02': 14.600000381469728}, '6_months_later': {'2018-07-02': 14.640000343322754}, '12_months_later': {'2019-01-02': 13.609999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGR
{'date': '2018-01-02', 'ticker': 'PGR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 55.06999969482422, 'high': 56.459999084472656, 'open': 56.459999084472656, 'close': 55.36000061035156, 'ema_50': 53.121536780567226, 'rsi_14': 54.37956433030036, 'target': 55.33000183105469, 'volume': 2715500.0, 'ema_200': 47.04856286621886, 'adj_close': 51.84321212768555, 'rsi_lag_1': 64.36284990422047, 'rsi_lag_2': 70.26476040418731, 'rsi_lag_3': 68.32299363032172, 'rsi_lag_4': 69.58252185677969, 'rsi_lag_5': 67.26547027771159, 'macd_lag_1': 1.1300335490576714, 'macd_lag_2': 1.1692950641757491, 'macd_lag_3': 1.1830537914553574, 'macd_lag_4': 1.198679369718647, 'macd_lag_5': 1.2154424366339143, 'macd_12_26_9': 1.009814103989477, 'macds_12_26_9': 1.157296223835409}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 55.33000183105469, '2018-01-04': 55.31999969482422, '2018-01-05': 55.52999877929688, '2018-01-08': 55.70000076293945, '2018-01-09': 56.16999816894531, '2018-01-10': 55.68000030517578, '2018-01-11': 55.65999984741211, '2018-01-12': 55.93999862670898, '2018-01-16': 56.27000045776367}, '1_month_later': {'2018-02-02': 53.2400016784668}, '3_months_later': {'2018-04-02': 59.810001373291016}, '6_months_later': {'2018-07-02': 59.7400016784668}, '12_months_later': {'2019-01-02': 59.22999954223633}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHDG
{'date': '2018-01-02', 'ticker': 'PHDG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.3700008392334, 'high': 28.739999771118164, 'open': 28.559999465942383, 'close': 27.559999465942383, 'ema_50': 27.085668527579855, 'rsi_14': 53.103468233944774, 'target': 27.68000030517578, 'volume': 1900.0, 'ema_200': 26.150022484193, 'adj_close': 26.57445335388184, 'rsi_lag_1': 46.45674731130312, 'rsi_lag_2': 54.91808532758834, 'rsi_lag_3': 53.78153550248423, 'rsi_lag_4': 53.78153550248455, 'rsi_lag_5': 54.23723608197116, 'macd_lag_1': 0.10006173987250833, 'macd_lag_2': 0.11754343376178511, 'macd_lag_3': 0.12491043128406076, 'macd_lag_4': 0.13962376168500867, 'macd_lag_5': 0.14924518884469506, 'macd_12_26_9': 0.10676329723028388, 'macds_12_26_9': 0.13312806902014157}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.68000030517578, '2018-01-04': 27.790000915527344, '2018-01-05': 27.989999771118164, '2018-01-08': 28.030000686645508, '2018-01-09': 28.1299991607666, '2018-01-10': 28.040000915527344, '2018-01-11': 28.25, '2018-01-12': 28.36000061035156, '2018-01-16': 28.350000381469727}, '1_month_later': {'2018-02-02': 28.68000030517578}, '3_months_later': {'2018-04-02': 28.25}, '6_months_later': {'2018-07-02': 27.8700008392334}, '12_months_later': {'2019-01-02': 26.15999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGM
{'date': '2018-01-02', 'ticker': 'PGM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.799999237060547, 'high': 18.96999931335449, 'open': 18.799999237060547, 'close': 18.959999084472656, 'ema_50': 18.849867791968368, 'rsi_14': 73.26724352824775, 'target': 19.709999084472656, 'volume': 300.0, 'ema_200': 19.654516408010725, 'adj_close': 18.959999084472656, 'rsi_lag_1': 66.99504936075763, 'rsi_lag_2': 59.47135453427152, 'rsi_lag_3': 42.79072160649967, 'rsi_lag_4': 44.01915010896507, 'rsi_lag_5': 41.07145137929185, 'macd_lag_1': -0.05985080470854243, 'macd_lag_2': -0.0903536055617522, 'macd_lag_3': -0.1269538319928003, 'macd_lag_4': -0.12804057964517668, 'macd_lag_5': -0.15200159673140945, 'macd_12_26_9': -0.025697974092469877, 'macds_12_26_9': -0.11737437237547609}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-04': 19.709999084472656, '2018-01-05': 19.86000061035156, '2018-01-08': 19.8700008392334, '2018-01-09': 19.8700008392334, '2018-01-10': 19.8700008392334, '2018-01-11': 20.18000030517578, '2018-01-12': 20.309999465942383, '2018-01-16': 20.420000076293945}, '6_months_later': {'2018-07-02': 40.540000915527344}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGHY
{'date': '2018-01-02', 'ticker': 'PGHY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.84000015258789, 'high': 23.85000038146973, 'open': 23.84000015258789, 'close': 23.85000038146973, 'ema_50': 23.97590350551734, 'rsi_14': 37.14305955183483, 'target': 23.89999961853028, 'volume': 53900.0, 'ema_200': 24.17648370421159, 'adj_close': 20.84580039978028, 'rsi_lag_1': 42.10547449468501, 'rsi_lag_2': 35.89761145562085, 'rsi_lag_3': 35.89761145562085, 'rsi_lag_4': 35.0003337815525, 'rsi_lag_5': 37.50035762309131, 'macd_lag_1': -0.046518956391832234, 'macd_lag_2': -0.04821372279401004, 'macd_lag_3': -0.04763916024347736, 'macd_lag_4': -0.04621287625725756, 'macd_lag_5': -0.04677484731864823, 'macd_12_26_9': -0.04386327834381021, 'macds_12_26_9': -0.0459185305631032}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.89999961853028, '2018-01-04': 23.989999771118164, '2018-01-05': 23.96999931335449, '2018-01-08': 23.979999542236328, '2018-01-09': 23.979999542236328, '2018-01-10': 23.989999771118164, '2018-01-11': 24.03000068664551, '2018-01-12': 24.0, '2018-01-16': 23.96999931335449}, '1_month_later': {'2018-02-02': 23.84000015258789}, '3_months_later': {'2018-04-02': 23.6200008392334}, '6_months_later': {'2018-07-02': 23.36000061035156}, '12_months_later': {'2019-01-02': 22.729999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pgf
{'date': '2018-01-02', 'ticker': 'pgf', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.65999984741211, 'high': 18.90999984741211, 'open': 18.89999961853028, 'close': 18.670000076293945, 'ema_50': 18.935206786391024, 'rsi_14': 16.949212814793654, 'target': 18.739999771118164, 'volume': 908300.0, 'ema_200': 18.898937384565112, 'adj_close': 13.579113960266112, 'rsi_lag_1': 23.80961031058031, 'rsi_lag_2': 25.581519135573487, 'rsi_lag_3': 33.33319204848948, 'rsi_lag_4': 31.111054596933826, 'rsi_lag_5': 35.55533891695828, 'macd_lag_1': -0.02640267527922191, 'macd_lag_2': -0.024101226998201497, 'macd_lag_3': -0.020813178799549803, 'macd_lag_4': -0.01834991254025553, 'macd_lag_5': -0.013920776118933276, 'macd_12_26_9': -0.04385939590163801, 'macds_12_26_9': -0.01803634688553441}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 18.739999771118164, '2018-01-04': 18.729999542236328, '2018-01-05': 18.739999771118164, '2018-01-08': 18.790000915527344, '2018-01-09': 18.780000686645508, '2018-01-10': 18.75, '2018-01-11': 18.790000915527344, '2018-01-12': 18.76000022888184, '2018-01-16': 18.690000534057617}, '1_month_later': {'2018-02-02': 18.21999931335449}, '3_months_later': {'2018-04-02': 18.549999237060547}, '6_months_later': {'2018-07-02': 18.520000457763672}, '12_months_later': {'2019-01-02': 17.540000915527344}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGEN
{'date': '2018-01-02', 'ticker': 'PGEN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.68000030517578, 'high': 13.489999771118164, 'open': 11.770000457763672, 'close': 13.470000267028809, 'ema_50': 13.861487691686559, 'rsi_14': 54.255323286273565, 'target': 14.079999923706056, 'volume': 3848100.0, 'ema_200': 18.58416383693958, 'adj_close': 13.470000267028809, 'rsi_lag_1': 27.88945909660214, 'rsi_lag_2': 27.34177154066697, 'rsi_lag_3': 37.59035203224569, 'rsi_lag_4': 33.10184648620583, 'rsi_lag_5': 31.222700285706736, 'macd_lag_1': -0.6877125059998512, 'macd_lag_2': -0.6993935705563086, 'macd_lag_3': -0.6847843502780453, 'macd_lag_4': -0.6846862368395392, 'macd_lag_5': -0.6613655605900135, 'macd_12_26_9': -0.5151679548988568, 'macds_12_26_9': -0.6451452049216726}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 14.079999923706056, '2018-01-04': 12.890000343322754, '2018-01-05': 13.149999618530272, '2018-01-08': 12.720000267028809, '2018-01-09': 13.68000030517578, '2018-01-10': 13.399999618530272, '2018-01-11': 13.220000267028809, '2018-01-12': 14.710000038146973, '2018-01-16': 13.770000457763672}, '1_month_later': {'2018-02-02': 12.699999809265137}, '3_months_later': {'2018-04-02': 15.09000015258789}, '6_months_later': {'2018-07-02': 13.770000457763672}, '12_months_later': {'2019-01-02': 7.150000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGC
{'date': '2018-01-02', 'ticker': 'PGC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.650001525878906, 'high': 35.689998626708984, 'open': 35.15999984741211, 'close': 35.2599983215332, 'ema_50': 34.30497793120852, 'rsi_14': 57.327567425360385, 'target': 35.41999816894531, 'volume': 112800.0, 'ema_200': 31.95950260232418, 'adj_close': 34.63905715942383, 'rsi_lag_1': 55.10205846963763, 'rsi_lag_2': 54.12026082708523, 'rsi_lag_3': 49.26625006197888, 'rsi_lag_4': 53.91969295695956, 'rsi_lag_5': 63.8008694398871, 'macd_lag_1': 0.3832664353168411, 'macd_lag_2': 0.42993109216148895, 'macd_lag_3': 0.4547296534833407, 'macd_lag_4': 0.4879126384580488, 'macd_lag_5': 0.5221512718011709, 'macd_12_26_9': 0.3614832268040331, 'macds_12_26_9': 0.4185224330457478}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 35.41999816894531, '2018-01-04': 35.86000061035156, '2018-01-05': 35.61000061035156, '2018-01-08': 35.5099983215332, '2018-01-09': 35.439998626708984, '2018-01-10': 35.70000076293945, '2018-01-11': 36.52000045776367, '2018-01-12': 37.04999923706055, '2018-01-16': 36.56999969482422}, '1_month_later': {'2018-02-02': 35.599998474121094}, '3_months_later': {'2018-04-02': 33.150001525878906}, '6_months_later': {'2018-07-02': 35.16999816894531}, '12_months_later': {'2019-01-02': 25.670000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PGAL
{'date': '2018-01-02', 'ticker': 'PGAL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.100000381469728, 'high': 12.18000030517578, 'open': 12.140000343322754, 'close': 12.15999984741211, 'ema_50': 12.142996903195572, 'rsi_14': 50.0, 'target': 12.31999969482422, 'volume': 9600.0, 'ema_200': 11.608592184348893, 'adj_close': 10.963313102722168, 'rsi_lag_1': 40.206209892844356, 'rsi_lag_2': 36.999988555908246, 'rsi_lag_3': 57.57578822645431, 'rsi_lag_4': 53.030305219641804, 'rsi_lag_5': 53.03030521964155, 'macd_lag_1': -0.030629096846434223, 'macd_lag_2': -0.012808866313330114, 'macd_lag_3': 0.012158948958507665, 'macd_lag_4': 0.008213700534613011, 'macd_lag_5': 0.0061132722696974895, 'macd_12_26_9': -0.022703344409727322, 'macds_12_26_9': -0.01212897541456479}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.31999969482422, '2018-01-04': 12.520000457763672, '2018-01-05': 12.479999542236328, '2018-01-08': 12.390000343322754, '2018-01-09': 12.420000076293944, '2018-01-10': 12.420000076293944, '2018-01-11': 12.470000267028809, '2018-01-12': 12.539999961853027, '2018-01-16': 12.579999923706056}, '1_month_later': {'2018-02-02': 12.369999885559082}, '3_months_later': {'2018-04-02': 12.149999618530272}, '6_months_later': {'2018-07-02': 12.630000114440918}, '12_months_later': {'2019-01-02': 10.109999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFSW
{'date': '2018-01-02', 'ticker': 'PFSW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.429999828338623, 'high': 7.699999809265137, 'open': 7.510000228881836, 'close': 7.639999866485596, 'ema_50': 7.502409883223508, 'rsi_14': 66.66666666666666, 'target': 7.5, 'volume': 14600.0, 'ema_200': 7.805755994441964, 'adj_close': 7.639999866485596, 'rsi_lag_1': 61.41732579104312, 'rsi_lag_2': 55.319154692468636, 'rsi_lag_3': 49.60000976562873, 'rsi_lag_4': 47.32823760614633, 'rsi_lag_5': 55.78231446983179, 'macd_lag_1': 0.03526317443190763, 'macd_lag_2': 0.03957314700612713, 'macd_lag_3': 0.027189531185384475, 'macd_lag_4': 0.027278943729809768, 'macd_lag_5': 0.02699628201407922, 'macd_12_26_9': 0.04823669555007637, 'macds_12_26_9': 0.013027427513272108}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.5, '2018-01-04': 7.389999866485596, '2018-01-05': 7.400000095367432, '2018-01-08': 7.420000076293945, '2018-01-09': 7.420000076293945, '2018-01-10': 7.440000057220459, '2018-01-11': 7.550000190734863, '2018-01-12': 7.769999980926514, '2018-01-16': 7.429999828338623}, '1_month_later': {'2018-02-02': 7.480000019073486}, '3_months_later': {'2018-04-02': 8.770000457763672}, '6_months_later': {'2018-07-02': 9.850000381469728}, '12_months_later': {'2019-01-02': 5.599999904632568}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFS
{'date': '2018-01-02', 'ticker': 'PFS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.88999938964844, 'high': 27.350000381469727, 'open': 27.100000381469727, 'close': 27.049999237060547, 'ema_50': 27.095825464952608, 'rsi_14': 52.33918030812055, 'target': 26.729999542236328, 'volume': 176000.0, 'ema_200': 25.991887501241266, 'adj_close': 24.540536880493164, 'rsi_lag_1': 49.56520729569382, 'rsi_lag_2': 49.27954935969105, 'rsi_lag_3': 43.73401497098734, 'rsi_lag_4': 41.64457025192694, 'rsi_lag_5': 41.42480489932068, 'macd_lag_1': 0.06612288302050473, 'macd_lag_2': 0.11303402121085071, 'macd_lag_3': 0.12239268605300069, 'macd_lag_4': 0.12848486200346798, 'macd_lag_5': 0.15068271668760502, 'macd_12_26_9': 0.03499736544027954, 'macds_12_26_9': 0.10048848407260424}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.729999542236328, '2018-01-04': 26.81999969482422, '2018-01-05': 26.82999992370605, '2018-01-08': 26.81999969482422, '2018-01-09': 27.01000022888184, '2018-01-10': 27.57999992370605, '2018-01-11': 28.0, '2018-01-12': 28.030000686645508, '2018-01-16': 27.84000015258789}, '1_month_later': {'2018-02-02': 26.38999938964844}, '3_months_later': {'2018-04-02': 25.190000534057617}, '6_months_later': {'2018-07-02': 27.89999961853028}, '12_months_later': {'2019-01-02': 24.46999931335449}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
phg
{'date': '2018-01-02', 'ticker': 'phg', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.68999862670898, 'high': 37.90999984741211, 'open': 37.880001068115234, 'close': 37.77000045776367, 'ema_50': 38.89387280604488, 'rsi_14': 43.23609735268126, 'target': 38.0099983215332, 'volume': 1137100.0, 'ema_200': 37.16053129390692, 'adj_close': 34.016510009765625, 'rsi_lag_1': 41.902306566079005, 'rsi_lag_2': 44.179916339104125, 'rsi_lag_3': 46.90719571652873, 'rsi_lag_4': 46.63209721349245, 'rsi_lag_5': 46.632143298332274, 'macd_lag_1': -0.34442058969045064, 'macd_lag_2': -0.3339887941367863, 'macd_lag_3': -0.3310888934412546, 'macd_lag_4': -0.3276625586041533, 'macd_lag_5': -0.3124140778245774, 'macd_12_26_9': -0.35106169293491263, 'macds_12_26_9': -0.3399369766483588}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 38.0099983215332, '2018-01-04': 39.0099983215332, '2018-01-05': 39.7400016784668, '2018-01-08': 39.66999816894531, '2018-01-09': 39.869998931884766, '2018-01-10': 39.65999984741211, '2018-01-11': 39.91999816894531, '2018-01-12': 40.63999938964844, '2018-01-16': 40.43000030517578}, '1_month_later': {'2018-02-02': 39.56999969482422}, '3_months_later': {'2018-04-02': 37.66999816894531}, '6_months_later': {'2018-07-02': 42.470001220703125}, '12_months_later': {'2019-01-02': 34.709999084472656}}
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.
PINC
{'date': '2018-01-02', 'ticker': 'PINC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.229999542236328, 'high': 29.799999237060547, 'open': 29.229999542236328, 'close': 29.690000534057617, 'ema_50': 30.055867979277973, 'rsi_14': 52.464816400544, 'target': 29.43000030517578, 'volume': 445500.0, 'ema_200': 31.964820498338614, 'adj_close': 29.690000534057617, 'rsi_lag_1': 38.52137940861707, 'rsi_lag_2': 49.4339848074152, 'rsi_lag_3': 55.17240472128346, 'rsi_lag_4': 58.199364012425356, 'rsi_lag_5': 52.87009916485769, 'macd_lag_1': -0.10345553837359134, 'macd_lag_2': -0.09510961122049721, 'macd_lag_3': -0.10751010109573755, 'macd_lag_4': -0.12584647844421326, 'macd_lag_5': -0.1423290380727309, 'macd_12_26_9': -0.06892934980836785, 'macds_12_26_9': -0.14428935660100117}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.43000030517578, '2018-01-04': 29.18000030517578, '2018-01-05': 29.8799991607666, '2018-01-08': 29.86000061035156, '2018-01-09': 30.09000015258789, '2018-01-10': 30.600000381469727, '2018-01-11': 31.26000022888184, '2018-01-12': 31.81999969482422, '2018-01-16': 32.27000045776367}, '1_month_later': {'2018-02-02': 32.90999984741211}, '3_months_later': {'2018-04-02': 30.770000457763672}, '6_months_later': {'2018-07-02': 36.709999084472656}, '12_months_later': {'2019-01-02': 37.20000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pim
{'date': '2018-01-02', 'ticker': 'pim', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.760000228881836, 'high': 4.820000171661377, 'open': 4.760000228881836, 'close': 4.809999942779541, 'ema_50': 4.726438609218945, 'rsi_14': 65.95746407740592, 'target': 4.829999923706055, 'volume': 194600.0, 'ema_200': 4.711787202080058, 'adj_close': 3.0295159816741943, 'rsi_lag_1': 64.44446328246362, 'rsi_lag_2': 56.52173913043478, 'rsi_lag_3': 52.27272480972574, 'rsi_lag_4': 51.11108285411228, 'rsi_lag_5': 53.19145914116603, 'macd_lag_1': 0.002506070117406445, 'macd_lag_2': -0.0028175018906750893, 'macd_lag_3': -0.0065167669548200635, 'macd_lag_4': -0.008089066760282648, 'macd_lag_5': -0.010996390476383233, 'macd_12_26_9': 0.00983928081152996, 'macds_12_26_9': -0.0039010835404195052}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.829999923706055, '2018-01-04': 4.820000171661377, '2018-01-05': 4.840000152587891, '2018-01-08': 4.820000171661377, '2018-01-09': 4.820000171661377, '2018-01-10': 4.800000190734863, '2018-01-11': 4.800000190734863, '2018-01-12': 4.78000020980835, '2018-01-16': 4.78000020980835}, '1_month_later': {'2018-02-02': 4.78000020980835}, '3_months_later': {'2018-04-02': 4.730000019073486}, '6_months_later': {'2018-07-02': 4.579999923706055}, '12_months_later': {'2019-01-02': 4.289999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pill
{'date': '2018-01-02', 'ticker': 'pill', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.21999931335449, 'high': 28.354999542236328, 'open': 27.21999931335449, 'close': 28.354999542236328, 'ema_50': 25.771710281098176, 'rsi_14': 57.75970167512822, 'target': 29.8799991607666, 'volume': 1000.0, 'ema_200': 24.216318567465557, 'adj_close': 27.3449764251709, 'rsi_lag_1': 59.36087550954564, 'rsi_lag_2': 60.568794740752175, 'rsi_lag_3': 67.53694918445404, 'rsi_lag_4': 56.8066730620669, 'rsi_lag_5': 55.921468606722236, 'macd_lag_1': 0.6500328880216841, 'macd_lag_2': 0.7010606583243728, 'macd_lag_3': 0.7969243554364986, 'macd_lag_4': 0.8063804891313175, 'macd_lag_5': 0.8354334688938927, 'macd_12_26_9': 0.6940648796205409, 'macds_12_26_9': 0.7532304238774428}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.8799991607666, '2018-01-04': 29.600000381469727, '2018-01-05': 30.27499961853028, '2018-01-08': 29.670000076293945, '2018-01-09': 30.90999984741211, '2018-01-10': 30.36000061035156, '2018-01-11': 31.520000457763672, '2018-01-12': 32.18000030517578, '2018-01-16': 31.850000381469727}, '1_month_later': {'2018-02-02': 30.07999992370605}, '3_months_later': {'2018-04-02': 21.36000061035156}, '6_months_later': {'2018-07-02': 28.89999961853028}, '12_months_later': {'2019-01-02': 21.551000595092773}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PII
{'date': '2018-01-02', 'ticker': 'PII', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 124.0, 'high': 126.6500015258789, 'open': 124.63999938964844, 'close': 126.23999786376952, 'ema_50': 121.38090275614901, 'rsi_14': 42.432668021352384, 'target': 128.36000061035156, 'volume': 666700.0, 'ema_200': 104.68579786425596, 'adj_close': 118.38394165039062, 'rsi_lag_1': 29.33160369836142, 'rsi_lag_2': 39.42015205987316, 'rsi_lag_3': 49.2385671657315, 'rsi_lag_4': 51.09299225356654, 'rsi_lag_5': 51.98254867595574, 'macd_lag_1': 0.8470814848508041, 'macd_lag_2': 1.1013834453392093, 'macd_lag_3': 1.1452179801562465, 'macd_lag_4': 1.2608727067022585, 'macd_lag_5': 1.3086953712172402, 'macd_12_26_9': 0.8176758863501874, 'macds_12_26_9': 1.3820209526730298}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 128.36000061035156, '2018-01-04': 129.27000427246094, '2018-01-05': 125.19000244140624, '2018-01-08': 128.0, '2018-01-09': 126.88999938964844, '2018-01-10': 124.72000122070312, '2018-01-11': 129.55999755859375, '2018-01-12': 130.02999877929688, '2018-01-16': 127.9000015258789}, '1_month_later': {'2018-02-02': 110.20999908447266}, '3_months_later': {'2018-04-02': 112.80999755859376}, '6_months_later': {'2018-07-02': 123.51000213623048}, '12_months_later': {'2019-01-02': 78.06999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PIH
{'date': '2018-01-02', 'ticker': 'PIH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.136000156402588, 'high': 7.449999809265137, 'open': 7.199999809265137, 'close': 7.199999809265137, 'ema_50': 7.315490412965123, 'rsi_14': 27.4368967470172, 'target': 7.151000022888184, 'volume': 2500.0, 'ema_200': 7.415795720042114, 'adj_close': 7.199999809265137, 'rsi_lag_1': 46.177362672616184, 'rsi_lag_2': 40.053059120761674, 'rsi_lag_3': 37.56221413524131, 'rsi_lag_4': 40.05308445069546, 'rsi_lag_5': 54.980095386366074, 'macd_lag_1': -0.010456422550739752, 'macd_lag_2': -0.00878512447934554, 'macd_lag_3': -0.006524156766701594, 'macd_lag_4': -0.0035434429695948566, 'macd_lag_5': -0.004778355791097866, 'macd_12_26_9': -0.015635301810017488, 'macds_12_26_9': -0.006827437307449233}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.151000022888184, '2018-01-04': 7.199999809265137, '2018-01-05': 7.209000110626221, '2018-01-08': 7.25, '2018-01-09': 7.099999904632568, '2018-01-10': 7.135000228881836, '2018-01-11': 7.099999904632568, '2018-01-12': 7.050000190734863, '2018-01-16': 7.150000095367432}, '1_month_later': {'2018-02-02': 6.75}, '3_months_later': {'2018-04-02': 7.150000095367432}, '6_months_later': {'2018-07-02': 7.041999816894531}, '12_months_later': {'2019-01-02': 4.300000190734863}}
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.
pie
{'date': '2018-01-02', 'ticker': 'pie', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.709999084472656, 'high': 20.90999984741211, 'open': 20.90999984741211, 'close': 20.770000457763672, 'ema_50': 19.95198496481594, 'rsi_14': 72.50000596045585, 'target': 21.15999984741211, 'volume': 183500.0, 'ema_200': 18.594559038073726, 'adj_close': 18.108661651611328, 'rsi_lag_1': 72.32701309232756, 'rsi_lag_2': 76.08695426825781, 'rsi_lag_3': 71.61288972948884, 'rsi_lag_4': 51.904756282203394, 'rsi_lag_5': 52.15310961119374, 'macd_lag_1': 0.08983900973334613, 'macd_lag_2': 0.058532555789433616, 'macd_lag_3': 0.028922621704378315, 'macd_lag_4': 0.022272662073383742, 'macd_lag_5': 0.01549714546555947, 'macd_12_26_9': 0.13089300681405902, 'macds_12_26_9': 0.05539903246152415}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 21.15999984741211, '2018-01-04': 21.290000915527344, '2018-01-05': 21.46999931335449, '2018-01-08': 21.459999084472656, '2018-01-09': 21.420000076293945, '2018-01-10': 21.31999969482422, '2018-01-11': 21.38999938964844, '2018-01-12': 21.59000015258789, '2018-01-16': 21.25}, '1_month_later': {'2018-02-02': 21.239999771118164}, '3_months_later': {'2018-04-02': 21.1200008392334}, '6_months_later': {'2018-07-02': 19.950000762939453}, '12_months_later': {'2019-01-02': 15.68000030517578}}
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.
PID
{'date': '2018-01-02', 'ticker': 'PID', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.579999923706055, 'high': 16.739999771118164, 'open': 16.610000610351562, 'close': 16.709999084472656, 'ema_50': 16.148454092121014, 'rsi_14': 89.33311631999634, 'target': 16.75, 'volume': 279200.0, 'ema_200': 15.683995034209893, 'adj_close': 15.094255447387695, 'rsi_lag_1': 88.40560480538255, 'rsi_lag_2': 89.74341418325605, 'rsi_lag_3': 88.73218248147731, 'rsi_lag_4': 79.74668569179771, 'rsi_lag_5': 75.64085321569787, 'macd_lag_1': 0.13252343534315258, 'macd_lag_2': 0.12468928490006803, 'macd_lag_3': 0.11287639782688785, 'macd_lag_4': 0.10430266079248085, 'macd_lag_5': 0.09184232500249934, 'macd_12_26_9': 0.1507121714142201, 'macds_12_26_9': 0.10709291552875269}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.75, '2018-01-04': 16.8799991607666, '2018-01-05': 16.920000076293945, '2018-01-08': 16.93000030517578, '2018-01-09': 16.860000610351562, '2018-01-10': 16.770000457763672, '2018-01-11': 16.90999984741211, '2018-01-12': 17.049999237060547, '2018-01-16': 16.979999542236328}, '1_month_later': {'2018-02-02': 16.68000030517578}, '3_months_later': {'2018-04-02': 15.5600004196167}, '6_months_later': {'2018-07-02': 15.489999771118164}, '12_months_later': {'2019-01-02': 14.279999732971191}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PICO
{'date': '2018-01-02', 'ticker': 'PICO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.399999618530272, 'high': 12.800000190734863, 'open': 12.800000190734863, 'close': 12.600000381469728, 'ema_50': 14.46711621626516, 'rsi_14': 48.57144881270152, 'target': 12.5, 'volume': 99100.0, 'ema_200': 15.51554146111824, 'adj_close': 12.600000381469728, 'rsi_lag_1': 60.00002179829391, 'rsi_lag_2': 55.8823545911341, 'rsi_lag_3': 52.9411632709274, 'rsi_lag_4': 55.555579103079644, 'rsi_lag_5': 55.555579103079644, 'macd_lag_1': -0.6165432769454195, 'macd_lag_2': -0.6578499103979816, 'macd_lag_3': -0.6908216122856317, 'macd_lag_4': -0.7177662507323461, 'macd_lag_5': -0.736626339656608, 'macd_12_26_9': -0.593108796467325, 'macds_12_26_9': -0.7400219356510562}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.5, '2018-01-04': 12.550000190734863, '2018-01-05': 12.550000190734863, '2018-01-08': 12.5, '2018-01-09': 12.449999809265137, '2018-01-10': 12.399999618530272, '2018-01-11': 12.600000381469728, '2018-01-12': 12.75, '2018-01-16': 12.899999618530272}, '1_month_later': {'2018-02-02': 12.899999618530272}, '3_months_later': {'2018-04-02': 11.050000190734863}, '6_months_later': {'2018-07-02': 11.649999618530272}, '12_months_later': {'2019-01-02': 9.329999923706056}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHI
{'date': '2018-01-02', 'ticker': 'PHI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134952-pldt-see-stock-price-gains-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'PLDT Should See Stock Price Gains In 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.13999938964844, 'high': 30.5, 'open': 30.15999984741211, 'close': 30.36000061035156, 'ema_50': 30.792778028816596, 'rsi_14': 63.46153728590473, 'target': 29.8700008392334, 'volume': 60600.0, 'ema_200': 32.5830740618176, 'adj_close': 30.36000061035156, 'rsi_lag_1': 51.18219793926777, 'rsi_lag_2': 51.86722320095856, 'rsi_lag_3': 47.982073775326896, 'rsi_lag_4': 53.846153846153804, 'rsi_lag_5': 56.77018792479978, 'macd_lag_1': -0.35564338404146767, 'macd_lag_2': -0.419090174894972, 'macd_lag_3': -0.4970301098625214, 'macd_lag_4': -0.5312439472409984, 'macd_lag_5': -0.5610768297091191, 'macd_12_26_9': -0.2795452066997157, 'macds_12_26_9': -0.48117666673342274}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.8700008392334, '2018-01-04': 30.01000022888184, '2018-01-05': 29.350000381469727, '2018-01-08': 28.040000915527344, '2018-01-09': 28.200000762939453, '2018-01-10': 28.81999969482422, '2018-01-11': 28.809999465942383, '2018-01-12': 28.46999931335449, '2018-01-16': 28.61000061035156}, '1_month_later': {'2018-02-02': 29.520000457763672}, '3_months_later': {'2018-04-02': 27.93000030517578}, '6_months_later': {'2018-07-02': 23.89999961853028}, '12_months_later': {'2019-01-02': 21.600000381469727}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PICK
{'date': '2018-01-02', 'ticker': 'PICK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.959999084472656, 'high': 35.70000076293945, 'open': 35.20000076293945, 'close': 35.68000030517578, 'ema_50': 32.533454508922354, 'rsi_14': 88.49373687201117, 'target': 36.11999893188477, 'volume': 252800.0, 'ema_200': 30.186638369131273, 'adj_close': 31.84490394592285, 'rsi_lag_1': 86.2500190734862, 'rsi_lag_2': 88.70589312385083, 'rsi_lag_3': 87.62887510157346, 'rsi_lag_4': 81.96722592950606, 'rsi_lag_5': 74.430378891111, 'macd_lag_1': 0.6941978655358625, 'macd_lag_2': 0.6466051264519663, 'macd_lag_3': 0.5693270777998478, 'macd_lag_4': 0.50313849356899, 'macd_lag_5': 0.4520664531100067, 'macd_12_26_9': 0.807335160190064, 'macds_12_26_9': 0.530679266464842}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 36.11999893188477, '2018-01-04': 36.0099983215332, '2018-01-05': 35.939998626708984, '2018-01-08': 36.59000015258789, '2018-01-09': 36.65999984741211, '2018-01-10': 36.77999877929688, '2018-01-11': 37.36999893188477, '2018-01-12': 37.81999969482422, '2018-01-16': 36.77999877929688}, '1_month_later': {'2018-02-02': 35.0099983215332}, '3_months_later': {'2018-04-02': 33.02000045776367}, '6_months_later': {'2018-07-02': 31.93000030517578}, '12_months_later': {'2019-01-02': 26.79999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PIC
{'date': '2018-01-02', 'ticker': 'PIC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1233.260009765625, 'high': 1293.1600341796875, 'open': 1277.31005859375, 'close': 1277.31005859375, 'ema_50': 4599.052522895274, 'rsi_14': 49.955823004401, 'target': 1268.5, 'volume': 3293.0, 'ema_200': 3957.2588260972657, 'adj_close': 1277.31005859375, 'rsi_lag_1': 49.52080634767568, 'rsi_lag_2': 49.90889241726512, 'rsi_lag_3': 49.91098087364026, 'rsi_lag_4': 49.92460203375956, 'rsi_lag_5': 59.854229274856586, 'macd_lag_1': 505.65952871463924, 'macd_lag_2': -436.3840266562697, 'macd_lag_3': -229.46691150161587, 'macd_lag_4': 37.61388099432406, 'macd_lag_5': 376.9723568661584, 'macd_12_26_9': 143.27782288206527, 'macds_12_26_9': -15.854675640412733}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1268.5, '2018-01-04': 1268.5, '2018-01-05': 14900.0, '2018-01-08': 15100.0, '2018-01-09': 1233.260009765625, '2018-01-10': 1232.3800048828125, '2018-01-12': 15100.0, '2018-01-16': 1214.760009765625}, '3_months_later': {'2018-04-02': 784.0}, '6_months_later': {'2018-07-02': 1115.0}, '12_months_later': {'2019-01-02': 1030.0}}
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.
PHYS
{'date': '2018-01-02', 'ticker': 'PHYS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.649999618530272, 'high': 10.720000267028809, 'open': 10.6899995803833, 'close': 10.710000038146973, 'ema_50': 10.398025167044, 'rsi_14': 92.42434532315889, 'target': 10.6899995803833, 'volume': 448400.0, 'ema_200': 10.360896792321867, 'adj_close': 10.710000038146973, 'rsi_lag_1': 87.5000425747869, 'rsi_lag_2': 83.3333333333334, 'rsi_lag_3': 64.28571428571419, 'rsi_lag_4': 60.71430396065376, 'rsi_lag_5': 48.214243139498855, 'macd_lag_1': 0.026800734914598223, 'macd_lag_2': 0.00895206867154208, 'macd_lag_3': -0.004795879886781762, 'macd_lag_4': -0.01820077985965085, 'macd_lag_5': -0.03300915787294478, 'macd_12_26_9': 0.05005195164632781, 'macds_12_26_9': -0.0028137742513133384}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.6899995803833, '2018-01-04': 10.760000228881836, '2018-01-05': 10.75, '2018-01-08': 10.75, '2018-01-09': 10.710000038146973, '2018-01-10': 10.720000267028809, '2018-01-11': 10.760000228881836, '2018-01-12': 10.890000343322754, '2018-01-16': 10.899999618530272}, '1_month_later': {'2018-02-02': 10.829999923706056}, '3_months_later': {'2018-04-02': 10.890000343322754}, '6_months_later': {'2018-07-02': 10.06999969482422}, '12_months_later': {'2019-01-02': 10.369999885559082}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHX
{'date': '2018-01-02', 'ticker': 'PHX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.549999237060547, 'high': 21.100000381469727, 'open': 20.75, 'close': 20.75, 'ema_50': 21.594612292506948, 'rsi_14': 50.0, 'target': 22.100000381469727, 'volume': 129100.0, 'ema_200': 21.57492281968527, 'adj_close': 20.15655517578125, 'rsi_lag_1': 52.03251856019184, 'rsi_lag_2': 59.09090278562873, 'rsi_lag_3': 58.55854060123019, 'rsi_lag_4': 60.74765155655577, 'rsi_lag_5': 52.63157014151852, 'macd_lag_1': -0.09887392607392087, 'macd_lag_2': -0.045482530201084614, 'macd_lag_3': -0.04794693489248658, 'macd_lag_4': -0.06566768989597449, 'macd_lag_5': -0.11278519624740824, 'macd_12_26_9': -0.12362354658226593, 'macds_12_26_9': -0.15718944415132313}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.100000381469727, '2018-01-04': 22.200000762939453, '2018-01-05': 21.299999237060547, '2018-01-08': 21.350000381469727, '2018-01-09': 21.299999237060547, '2018-01-10': 21.100000381469727, '2018-01-11': 22.600000381469727, '2018-01-12': 22.700000762939453, '2018-01-16': 21.950000762939453}, '1_month_later': {'2018-02-02': 19.5}, '3_months_later': {'2018-04-02': 18.89999961853028}, '6_months_later': {'2018-07-02': 19.450000762939453}, '12_months_later': {'2019-01-02': 16.260000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHUN
{'date': '2018-01-02', 'ticker': 'PHUN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.199999809265137, 'high': 10.199999809265137, 'open': 10.199999809265137, 'close': 10.199999809265137, 'ema_50': 10.168703125636457, 'rsi_14': 63.636284820059466, 'target': 10.170000076293944, 'volume': 100.0, 'ema_200': 10.12534647268583, 'adj_close': 10.199999809265137, 'rsi_lag_1': 70.00009536797859, 'rsi_lag_2': 44.24751873607454, 'rsi_lag_3': 44.24751873607454, 'rsi_lag_4': 62.04822391892632, 'rsi_lag_5': 62.04822391892632, 'macd_lag_1': 0.008326370341633194, 'macd_lag_2': 0.0057890182779001265, 'macd_lag_3': 0.004502640713903716, 'macd_lag_4': 0.002795262212748284, 'macd_lag_5': 0.0005753680209039658, 'macd_12_26_9': 0.00942169777031765, 'macds_12_26_9': 0.003830930232366048}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.170000076293944, '2018-01-04': 10.17099952697754, '2018-01-05': 10.25, '2018-01-08': 10.25, '2018-01-09': 10.25, '2018-01-10': 10.25, '2018-01-11': 10.25, '2018-01-12': 10.25, '2018-01-16': 10.25}, '1_month_later': {'2018-02-02': 10.279999732971191}, '3_months_later': {'2018-04-02': 10.350000381469728}, '6_months_later': {'2018-07-02': 10.380000114440918}, '12_months_later': {'2019-01-02': 14.260000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pht
{'date': '2018-01-02', 'ticker': 'pht', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.699999809265137, 'high': 9.760000228881836, 'open': 9.710000038146973, 'close': 9.760000228881836, 'ema_50': 9.789783702658362, 'rsi_14': 50.0, 'target': 9.800000190734863, 'volume': 68800.0, 'ema_200': 9.898376052848594, 'adj_close': 5.578753471374512, 'rsi_lag_1': 46.51166916913037, 'rsi_lag_2': 45.4545651584937, 'rsi_lag_3': 52.63163178236204, 'rsi_lag_4': 53.84622908648079, 'rsi_lag_5': 45.00001192091199, 'macd_lag_1': -0.018323295621746283, 'macd_lag_2': -0.017933835201551673, 'macd_lag_3': -0.017175886298662846, 'macd_lag_4': -0.02206777044106012, 'macd_lag_5': -0.02799060772185058, 'macd_12_26_9': -0.014430996739951851, 'macds_12_26_9': -0.02323594887125117}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.800000190734863, '2018-01-04': 9.800000190734863, '2018-01-05': 9.829999923706056, '2018-01-08': 9.869999885559082, '2018-01-09': 9.84000015258789, '2018-01-10': 9.779999732971191, '2018-01-11': 9.8100004196167, '2018-01-12': 9.81999969482422, '2018-01-16': 9.800000190734863}, '1_month_later': {'2018-02-02': 9.640000343322754}, '3_months_later': {'2018-04-02': 9.3100004196167}, '6_months_later': {'2018-07-02': 9.260000228881836}, '12_months_later': {'2019-01-02': 8.050000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHO
{'date': '2018-01-02', 'ticker': 'PHO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/easy-way-invest-industrial-stocks-2018-01-02', 'news_author': None, 'news_article': "Industrial stocks had an extremely strong 2017, as the cyclical portion of the U.S. economy started to kick into high gear after years of sluggishness. Investors in many niche areas of the industrial sector managed to score big returns, and many are equally optimistic about the prospects for earnings growth in 2018.\nThe industrials sector includes a large number of different areas of the market, ranging from aerospace and defense to transportation and general manufacturing. That gives investors hundreds of stocks to choose from. But if you'd rather have one-stop shopping for stocks in the sector, then industrial stock ETFs can be the answer to your needs. With many different industrial stock ETFs, you can pick a broad-based fund or narrow in on specific areas that interest you.\nTop industrial stock ETFs\nETF Assets Under Management 2017 Return\nIndustrial Select Sector SPDR (NYSEMKT: XLI) $12.5 billion 24%\niShares U.S. Aerospace & Defense (NYSEMKT: ITA) $4.93 billion 35%\nVanguard Industrial (NYSEMKT: VIS) $3.61 billion 21%\niShares Transportation Average (NYSEMKT: IYT) $900 million 19%\nPowerShares Water Resources (NASDAQ: PHO) $840 million 24%\nSource: ETFdb.com.\nGetting full industrial exposure\nTwo of the three biggest industrial stock ETFs offer broad-based coverage of the entire sector. Both the SPDR and Vanguard industrial ETFs have balanced portfolio's that include large numbers of different stocks ranging across the entire sector, and offering companies that specialize in areas including aerospace and defense, machinery, railroads, and airlines, as well as industrial conglomerates.\nThe SPDR has about 70 holdings and an expense ratio of 0.14%, while Vanguard offers a much more diversified portfolio of nearly 350 stocks and a slightly cheaper cost of 0.10% annually. Balance across the various industries that make up the industrial sector is relatively consistent across both ETFs, and, as you can see above, the two ETFs kept pace with a strong market overall in 2017.\nDrilling down on certain industrial areas\nIf you want to hone your exposure to industrials further, then you can find specialized ETFs that pick certain areas on which to focus. The iShares Aerospace & Defense ETF does what its name would suggest, investing solely in defense- and aerospace-related stocks . The ETF owns 40 different stocks, and the top six stocks make up about 45% of the overall portfolio. A 0.44% expense ratio makes the iShares ETF more expensive than its broader-based brethren, but outperformance from aerospace and defense compared to other parts of the industrial sector has led to better returns for investors in this fund.\nImage source: Getty Images.\nIt's confusing to some investors that transportation stocks fall into the industrial sector when the Dow Jones averages specifically separate them out. Yet the iShares transportation ETF actually seeks to mimic the moves of the Dow Jones Transportation average, owning the 20 components of the Dow Transports. That puts about half of the fund's assets into airlines and air freight and logistics companies, with railroads making up another 25%, and trucking and marine companies making up the remainder. Returns have lagged in the past year, but many see further gains for the industry in 2018.\nFinally, the PowerShares ETF looks at companies concentrating on water resources . Strictly speaking, this fund goes beyond industrials, with only a slim majority of assets invested in the sector. Related investments include water utilities as well as healthcare companies focused on maintaining and enhancing water quality. Yet for those who believe that building out industrial capacity to provide clean drinking water for both residential and commercial use can produce outsized returns, the PowerShares ETF offers a different angle on the sector.\nProfit from industrial stocks\nYou can find many other funds that focus on industrial stocks, and many investors will prefer to look at specific companies that they believe will outpace their peers. Nevertheless, these ETFs can give you a good starting point from which to begin to know more about the industrial sector and the stocks that profit from it.\n10 stocks we like better than PowerShares Water Resources\nWhen investing geniuses David and Tom Gardner have 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.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and PowerShares Water Resources wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of January 2, 2018\nDan Caplinger has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\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': 'Top industrial stock ETFs ETF Assets Under Management 2017 Return Industrial Select Sector SPDR (NYSEMKT: XLI) $12.5 billion 24% iShares U.S. Aerospace & Defense (NYSEMKT: ITA) $4.93 billion 35% Vanguard Industrial (NYSEMKT: VIS) $3.61 billion 21% iShares Transportation Average (NYSEMKT: IYT) $900 million 19% PowerShares Water Resources (NASDAQ: PHO) $840 million 24% Source: ETFdb.com. Industrial stocks had an extremely strong 2017, as the cyclical portion of the U.S. economy started to kick into high gear after years of sluggishness. Investors in many niche areas of the industrial sector managed to score big returns, and many are equally optimistic about the prospects for earnings growth in 2018.', 'news_luhn_summary': "Top industrial stock ETFs ETF Assets Under Management 2017 Return Industrial Select Sector SPDR (NYSEMKT: XLI) $12.5 billion 24% iShares U.S. Aerospace & Defense (NYSEMKT: ITA) $4.93 billion 35% Vanguard Industrial (NYSEMKT: VIS) $3.61 billion 21% iShares Transportation Average (NYSEMKT: IYT) $900 million 19% PowerShares Water Resources (NASDAQ: PHO) $840 million 24% Source: ETFdb.com. The industrials sector includes a large number of different areas of the market, ranging from aerospace and defense to transportation and general manufacturing. Both the SPDR and Vanguard industrial ETFs have balanced portfolio's that include large numbers of different stocks ranging across the entire sector, and offering companies that specialize in areas including aerospace and defense, machinery, railroads, and airlines, as well as industrial conglomerates.", 'news_article_title': 'The Easy Way to Invest in Industrial Stocks', 'news_lexrank_summary': "Top industrial stock ETFs ETF Assets Under Management 2017 Return Industrial Select Sector SPDR (NYSEMKT: XLI) $12.5 billion 24% iShares U.S. Aerospace & Defense (NYSEMKT: ITA) $4.93 billion 35% Vanguard Industrial (NYSEMKT: VIS) $3.61 billion 21% iShares Transportation Average (NYSEMKT: IYT) $900 million 19% PowerShares Water Resources (NASDAQ: PHO) $840 million 24% Source: ETFdb.com. Both the SPDR and Vanguard industrial ETFs have balanced portfolio's that include large numbers of different stocks ranging across the entire sector, and offering companies that specialize in areas including aerospace and defense, machinery, railroads, and airlines, as well as industrial conglomerates. Drilling down on certain industrial areas If you want to hone your exposure to industrials further, then you can find specialized ETFs that pick certain areas on which to focus.", 'news_textrank_summary': "Top industrial stock ETFs ETF Assets Under Management 2017 Return Industrial Select Sector SPDR (NYSEMKT: XLI) $12.5 billion 24% iShares U.S. Aerospace & Defense (NYSEMKT: ITA) $4.93 billion 35% Vanguard Industrial (NYSEMKT: VIS) $3.61 billion 21% iShares Transportation Average (NYSEMKT: IYT) $900 million 19% PowerShares Water Resources (NASDAQ: PHO) $840 million 24% Source: ETFdb.com. Both the SPDR and Vanguard industrial ETFs have balanced portfolio's that include large numbers of different stocks ranging across the entire sector, and offering companies that specialize in areas including aerospace and defense, machinery, railroads, and airlines, as well as industrial conglomerates. Profit from industrial stocks You can find many other funds that focus on industrial stocks, and many investors will prefer to look at specific companies that they believe will outpace their peers."}, {'news_url': 'https://seekingalpha.com/news/3320750-todays-clean-energy-funds-performance?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Today's clean energy funds performance", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.170000076293945, 'high': 30.39999961853028, 'open': 30.3700008392334, 'close': 30.280000686645508, 'ema_50': 29.6999788566838, 'rsi_14': 55.02646570559238, 'target': 30.3799991607666, 'volume': 34700.0, 'ema_200': 27.963469518956725, 'adj_close': 29.919418334960938, 'rsi_lag_1': 49.28232590653809, 'rsi_lag_2': 51.741287394977036, 'rsi_lag_3': 53.140079703301005, 'rsi_lag_4': 49.04759655732405, 'rsi_lag_5': 45.631055376137, 'macd_lag_1': 0.15171346976918798, 'macd_lag_2': 0.15347413012258926, 'macd_lag_3': 0.14432537009019342, 'macd_lag_4': 0.1437854197465427, 'macd_lag_5': 0.14813206413007052, 'macd_12_26_9': 0.1494028456450529, 'macds_12_26_9': 0.1603639515296839}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 30.3799991607666, '2018-01-04': 30.440000534057617, '2018-01-05': 30.51000022888184, '2018-01-08': 30.75, '2018-01-09': 30.790000915527344, '2018-01-10': 30.530000686645508, '2018-01-11': 30.950000762939453, '2018-01-12': 31.030000686645508, '2018-01-16': 30.86000061035156}, '1_month_later': {'2018-02-02': 30.8799991607666}, '3_months_later': {'2018-04-02': 29.770000457763672}, '6_months_later': {'2018-07-02': 30.26000022888184}, '12_months_later': {'2019-01-02': 28.07999992370605}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHM
{'date': '2018-01-02', 'ticker': 'PHM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.900001525878906, 'high': 33.66999816894531, 'open': 33.45000076293945, 'close': 33.369998931884766, 'ema_50': 32.011756654177695, 'rsi_14': 44.27081884613703, 'target': 34.27000045776367, 'volume': 2937900.0, 'ema_200': 27.295848493272402, 'adj_close': 32.25770950317383, 'rsi_lag_1': 39.40154109589041, 'rsi_lag_2': 51.604948737148966, 'rsi_lag_3': 54.8387238542085, 'rsi_lag_4': 50.74626380079677, 'rsi_lag_5': 40.18349728351786, 'macd_lag_1': 0.3777599158776823, 'macd_lag_2': 0.43291021643257466, 'macd_lag_3': 0.4491505089756558, 'macd_lag_4': 0.4837096435539294, 'macd_lag_5': 0.5167110691102508, 'macd_12_26_9': 0.33981859900209344, 'macds_12_26_9': 0.4968331763423122}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 34.27000045776367, '2018-01-04': 33.83000183105469, '2018-01-05': 34.540000915527344, '2018-01-08': 34.439998626708984, '2018-01-09': 34.650001525878906, '2018-01-10': 33.66999816894531, '2018-01-11': 34.52000045776367, '2018-01-12': 34.47999954223633, '2018-01-16': 33.7599983215332}, '1_month_later': {'2018-02-02': 30.700000762939453}, '3_months_later': {'2018-04-02': 28.56999969482422}, '6_months_later': {'2018-07-02': 28.8700008392334}, '12_months_later': {'2019-01-02': 26.239999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PHK
{'date': '2018-01-02', 'ticker': 'PHK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/news/3320781-pimco-declares-monthly-distributions?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'PIMCO declares monthly distributions', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134800-cefl-yyys-2017-end-rebalancing-upon-us?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "CEFL/YYY's 2017-End Rebalancing Is Upon Us", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.449999809265137, 'high': 7.599999904632568, 'open': 7.489999771118164, 'close': 7.449999809265137, 'ema_50': 7.601632895614697, 'rsi_14': 48.93614862671255, 'target': 7.53000020980835, 'volume': 1079100.0, 'ema_200': 8.228910127723797, 'adj_close': 5.665425777435303, 'rsi_lag_1': 53.99998855593003, 'rsi_lag_2': 46.29630610774382, 'rsi_lag_3': 47.27271150953456, 'rsi_lag_4': 50.0, 'rsi_lag_5': 53.846146792355945, 'macd_lag_1': -0.03654329862942429, 'macd_lag_2': -0.04165709623041547, 'macd_lag_3': -0.045541878437991734, 'macd_lag_4': -0.04881964073768774, 'macd_lag_5': -0.05331135860290104, 'macd_12_26_9': -0.032918053255923674, 'macds_12_26_9': -0.050316109285237706}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.53000020980835, '2018-01-04': 7.550000190734863, '2018-01-05': 7.730000019073486, '2018-01-08': 7.869999885559082, '2018-01-09': 7.800000190734863, '2018-01-10': 7.75, '2018-01-11': 7.769999980926514, '2018-01-12': 7.760000228881836, '2018-01-16': 7.75}, '1_month_later': {'2018-02-02': 7.570000171661377}, '3_months_later': {'2018-04-02': 7.559999942779541}, '6_months_later': {'2018-07-02': 8.390000343322754}, '12_months_later': {'2019-01-02': 8.0}}
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.
PICB
{'date': '2018-01-02', 'ticker': 'PICB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.56999969482422, 'high': 27.76000022888184, 'open': 27.76000022888184, 'close': 27.60000038146973, 'ema_50': 27.14223332663778, 'rsi_14': 60.58827225318886, 'target': 27.56999969482422, 'volume': 27400.0, 'ema_200': 26.596370912465865, 'adj_close': 26.57585906982422, 'rsi_lag_1': 62.77782428418704, 'rsi_lag_2': 53.01206342056979, 'rsi_lag_3': 51.851838769875854, 'rsi_lag_4': 44.64283686912595, 'rsi_lag_5': 39.610379959425366, 'macd_lag_1': 0.06816851779073119, 'macd_lag_2': 0.04024221242243797, 'macd_lag_3': 0.029467295935308613, 'macd_lag_4': 0.023431415910014408, 'macd_lag_5': 0.02455026943708205, 'macd_12_26_9': 0.09006899161925119, 'macds_12_26_9': 0.05610975640361583}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.56999969482422, '2018-01-04': 27.690000534057614, '2018-01-05': 27.65999984741211, '2018-01-08': 27.60000038146973, '2018-01-09': 27.540000915527344, '2018-01-10': 27.479999542236328, '2018-01-11': 27.520000457763672, '2018-01-12': 27.93000030517578, '2018-01-16': 28.10000038146973}, '1_month_later': {'2018-02-02': 28.28000068664551}, '3_months_later': {'2018-04-02': 27.76000022888184}, '6_months_later': {'2018-07-02': 26.059999465942383}, '12_months_later': {'2019-01-02': 24.989999771118164}}
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.
PFO
{'date': '2018-01-02', 'ticker': 'PFO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.75, 'high': 11.81999969482422, 'open': 11.779999732971191, 'close': 11.770000457763672, 'ema_50': 11.981757390676645, 'rsi_14': 38.57145192669271, 'target': 11.770000457763672, 'volume': 38900.0, 'ema_200': 12.048503529944153, 'adj_close': 9.962571144104004, 'rsi_lag_1': 39.130470838320655, 'rsi_lag_2': 34.375023283052045, 'rsi_lag_3': 33.84616513223068, 'rsi_lag_4': 33.84616513223068, 'rsi_lag_5': 31.428575321115602, 'macd_lag_1': -0.08102445703956107, 'macd_lag_2': -0.08561722800897087, 'macd_lag_3': -0.08412479873245893, 'macd_lag_4': -0.08201448796048005, 'macd_lag_5': -0.07507341065546314, 'macd_12_26_9': -0.07969365671801931, 'macds_12_26_9': -0.0716137091463548}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.770000457763672, '2018-01-04': 11.729999542236328, '2018-01-05': 11.699999809265137, '2018-01-08': 11.68000030517578, '2018-01-09': 11.670000076293944, '2018-01-10': 11.59000015258789, '2018-01-11': 11.579999923706056, '2018-01-12': 11.539999961853027, '2018-01-16': 11.449999809265137}, '1_month_later': {'2018-02-02': 11.010000228881836}, '3_months_later': {'2018-04-02': 10.789999961853027}, '6_months_later': {'2018-07-02': 10.81999969482422}, '12_months_later': {'2019-01-02': 11.0}}
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.
PFNX
{'date': '2018-01-02', 'ticker': 'PFNX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.569999933242798, 'high': 2.8399999141693115, 'open': 2.6600000858306885, 'close': 2.7699999809265137, 'ema_50': 2.736276112705517, 'rsi_14': 60.60605622739201, 'target': 2.900000095367432, 'volume': 80400.0, 'ema_200': 4.068170570192868, 'adj_close': 2.7699999809265137, 'rsi_lag_1': 56.87022935495965, 'rsi_lag_2': 59.45945647394136, 'rsi_lag_3': 56.53846231437973, 'rsi_lag_4': 56.97674440095412, 'rsi_lag_5': 58.102765531998834, 'macd_lag_1': 0.02444068012294487, 'macd_lag_2': 0.025389905368459864, 'macd_lag_3': 0.018086707462759755, 'macd_lag_4': 0.01562935777565677, 'macd_lag_5': 0.009211007338604027, 'macd_12_26_9': 0.03219337926731747, 'macds_12_26_9': -0.012811550739561875}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.900000095367432, '2018-01-04': 3.0299999713897705, '2018-01-05': 3.380000114440918, '2018-01-08': 3.1600000858306885, '2018-01-09': 3.1700000762939453, '2018-01-10': 3.369999885559082, '2018-01-11': 3.5999999046325684, '2018-01-12': 3.450000047683716, '2018-01-16': 3.359999895095825}, '1_month_later': {'2018-02-02': 3.359999895095825}, '3_months_later': {'2018-04-02': 5.300000190734863}, '6_months_later': {'2018-07-02': 5.5}, '12_months_later': {'2019-01-02': 3.4600000381469727}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFN
{'date': '2018-01-02', 'ticker': 'PFN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.390000343322754, 'high': 10.470000267028809, 'open': 10.40999984741211, 'close': 10.43000030517578, 'ema_50': 10.453105981588658, 'rsi_14': 46.551732642742465, 'target': 10.479999542236328, 'volume': 268900.0, 'ema_200': 10.357746349369643, 'adj_close': 8.175354957580566, 'rsi_lag_1': 47.457654515154346, 'rsi_lag_2': 34.37502328305179, 'rsi_lag_3': 37.878796636129884, 'rsi_lag_4': 32.30771713709737, 'rsi_lag_5': 42.8571605505555, 'macd_lag_1': -0.02838301215023975, 'macd_lag_2': -0.03576663978088135, 'macd_lag_3': -0.03856145792620502, 'macd_lag_4': -0.04258597336618486, 'macd_lag_5': -0.04303056279922046, 'macd_12_26_9': -0.022274665577509012, 'macds_12_26_9': -0.03185423851300047}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 10.479999542236328, '2018-01-04': 10.5, '2018-01-05': 10.4399995803833, '2018-01-08': 10.470000267028809, '2018-01-09': 10.470000267028809, '2018-01-10': 10.420000076293944, '2018-01-11': 10.3100004196167, '2018-01-12': 10.300000190734863, '2018-01-16': 10.300000190734863}, '1_month_later': {'2018-02-02': 10.3100004196167}, '3_months_later': {'2018-04-02': 10.34000015258789}, '6_months_later': {'2018-07-02': 10.529999732971191}, '12_months_later': {'2019-01-02': 9.68000030517578}}
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.
PESI
{'date': '2018-01-02', 'ticker': 'PESI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': 'FY', 'sec_fy': 2018.0, 'sec_rn': 1.0, 'sec_end': '2018-01-02', 'sec_form': '10-K', 'sec_label': 'Retained Earnings (Accumulated Deficit)', 'sec_units': 'USD', 'sec_value': -78209000.0, 'sec_entity': 'PERMA FIX ENVIRONMENTAL SERVICES, INC'}, 'stock_metrics': {'low': 3.650000095367432, 'high': 3.75, 'open': 3.75, 'close': 3.650000095367432, 'ema_50': 3.755440031745821, 'rsi_14': 42.85714934472356, 'target': 4.0, 'volume': 9600.0, 'ema_200': 3.735249941060113, 'adj_close': 3.650000095367432, 'rsi_lag_1': 40.909098790697556, 'rsi_lag_2': 34.999998807906806, 'rsi_lag_3': 36.84210262140024, 'rsi_lag_4': 34.99999046325681, 'rsi_lag_5': 26.315788152805695, 'macd_lag_1': -0.08690142651286292, 'macd_lag_2': -0.09633169401202624, 'macd_lag_3': -0.09169421926973476, 'macd_lag_4': -0.08953228528148971, 'macd_lag_5': -0.09056148780460216, 'macd_12_26_9': -0.07852271064869987, 'macds_12_26_9': -0.0747289345212978}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.0, '2018-01-04': 4.0, '2018-01-05': 4.199999809265137, '2018-01-08': 4.099999904632568, '2018-01-09': 4.099999904632568, '2018-01-10': 4.099999904632568, '2018-01-11': 4.050000190734863, '2018-01-12': 4.0, '2018-01-16': 4.050000190734863}, '1_month_later': {'2018-02-02': 3.5999999046325684}, '3_months_later': {'2018-04-02': 4.25}, '6_months_later': {'2018-07-02': 4.5}, '12_months_later': {'2019-01-02': 2.569999933242798}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PER
{'date': '2018-01-02', 'ticker': 'PER', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.049999952316284, 'high': 2.0999999046325684, 'open': 2.049999952316284, 'close': 2.049999952316284, 'ema_50': 2.4724083796289653, 'rsi_14': 24.29905459186614, 'target': 2.150000095367432, 'volume': 195000.0, 'ema_200': 2.778467896613513, 'adj_close': 1.3175283670425415, 'rsi_lag_1': 24.29905459186614, 'rsi_lag_2': 16.49483725220736, 'rsi_lag_3': 17.391295333887186, 'rsi_lag_4': 17.582403762717362, 'rsi_lag_5': 18.390789478011186, 'macd_lag_1': -0.181077556256803, 'macd_lag_2': -0.18568060222919192, 'macd_lag_3': -0.17867314549348245, 'macd_lag_4': -0.17222110465220197, 'macd_lag_5': -0.16759000517558054, 'macd_12_26_9': -0.17540761931254556, 'macds_12_26_9': -0.16006278815243022}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 2.150000095367432, '2018-01-04': 2.0999999046325684, '2018-01-05': 2.150000095367432, '2018-01-08': 2.200000047683716, '2018-01-09': 2.299999952316284, '2018-01-10': 2.25, '2018-01-11': 2.3499999046325684, '2018-01-12': 2.359999895095825, '2018-01-16': 2.25}, '1_month_later': {'2018-02-02': 2.400000095367432}, '3_months_later': {'2018-04-02': 1.850000023841858}, '6_months_later': {'2018-07-02': 2.5999999046325684}, '12_months_later': {'2019-01-02': 1.9800000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEO
{'date': '2018-01-02', 'ticker': 'PEO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.850000381469727, 'high': 20.14999961853028, 'open': 19.850000381469727, 'close': 20.11000061035156, 'ema_50': 19.30534851552111, 'rsi_14': 87.66231031800682, 'target': 20.51000022888184, 'volume': 71600.0, 'ema_200': 19.20599283227492, 'adj_close': 17.92973518371582, 'rsi_lag_1': 86.4285480733075, 'rsi_lag_2': 87.16212210643525, 'rsi_lag_3': 87.49996862914378, 'rsi_lag_4': 79.6407103559889, 'rsi_lag_5': 73.00611989375022, 'macd_lag_1': 0.1862199592381053, 'macd_lag_2': 0.16950353812364938, 'macd_lag_3': 0.14977462056400626, 'macd_lag_4': 0.12241480767058377, 'macd_lag_5': 0.07451309623015234, 'macd_12_26_9': 0.21873320364524318, 'macds_12_26_9': 0.10717837082244007}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 20.51000022888184, '2018-01-04': 20.6200008392334, '2018-01-05': 20.40999984741211, '2018-01-08': 20.56999969482422, '2018-01-09': 20.63999938964844, '2018-01-10': 20.64999961853028, '2018-01-11': 21.13999938964844, '2018-01-12': 21.21999931335449, '2018-01-16': 21.100000381469727}, '1_month_later': {'2018-02-02': 19.850000381469727}, '3_months_later': {'2018-04-02': 17.860000610351562}, '6_months_later': {'2018-07-02': 19.770000457763672}, '12_months_later': {'2019-01-02': 14.81999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PENN
{'date': '2018-01-02', 'ticker': 'PENN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': 'Q1', 'sec_fy': 2018.0, 'sec_rn': 1.0, 'sec_end': '2018-01-02', 'sec_form': '10-Q', 'sec_label': 'Retained Earnings (Accumulated Deficit)', 'sec_units': 'USD', 'sec_value': -1061468000.0, 'sec_entity': 'PENN Entertainment, Inc.'}, 'stock_metrics': {'low': 30.6299991607666, 'high': 31.57999992370605, 'open': 31.459999084472656, 'close': 30.739999771118164, 'ema_50': 28.09954464203797, 'rsi_14': 64.57398131482738, 'target': 30.32999992370605, 'volume': 1212800.0, 'ema_200': 23.08968902175749, 'adj_close': 30.739999771118164, 'rsi_lag_1': 72.01257050591512, 'rsi_lag_2': 69.49923850771823, 'rsi_lag_3': 70.86956028977326, 'rsi_lag_4': 66.31579098325977, 'rsi_lag_5': 62.8012117409958, 'macd_lag_1': 1.0323691951670533, 'macd_lag_2': 1.0242171648473857, 'macd_lag_3': 0.9897508536690083, 'macd_lag_4': 0.9496902351476812, 'macd_lag_5': 0.93361732293328, 'macd_12_26_9': 0.9799256831578766, 'macds_12_26_9': 0.9396433332120597}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 30.32999992370605, '2018-01-04': 30.309999465942383, '2018-01-05': 30.790000915527344, '2018-01-08': 30.790000915527344, '2018-01-09': 31.01000022888184, '2018-01-10': 31.0, '2018-01-11': 32.220001220703125, '2018-01-12': 32.11000061035156, '2018-01-16': 32.189998626708984}, '1_month_later': {'2018-02-02': 31.06999969482422}, '3_months_later': {'2018-04-02': 25.1299991607666}, '6_months_later': {'2018-07-02': 32.84000015258789}, '12_months_later': {'2019-01-02': 19.450000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEN
{'date': '2018-01-02', 'ticker': 'PEN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 89.0, 'high': 92.9000015258789, 'open': 92.9000015258789, 'close': 90.3499984741211, 'ema_50': 97.89112871173499, 'rsi_14': 33.778624064743866, 'target': 90.5500030517578, 'volume': 549800.0, 'ema_200': 89.65404213463088, 'adj_close': 90.3499984741211, 'rsi_lag_1': 40.35087190946718, 'rsi_lag_2': 39.56989233198014, 'rsi_lag_3': 41.07142613858527, 'rsi_lag_4': 43.22580094722656, 'rsi_lag_5': 39.37359743679548, 'macd_lag_1': -1.7503202670928033, 'macd_lag_2': -1.664065065403861, 'macd_lag_3': -1.6774043094743831, 'macd_lag_4': -1.7820312720425306, 'macd_lag_5': -1.8591071023117536, 'macd_12_26_9': -2.097097758249774, 'macds_12_26_9': -1.693827244874041}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 90.5500030517578, '2018-01-04': 84.5999984741211, '2018-01-05': 85.1500015258789, '2018-01-08': 86.69999694824219, '2018-01-09': 89.69999694824219, '2018-01-10': 88.25, '2018-01-11': 91.9000015258789, '2018-01-12': 91.1500015258789, '2018-01-16': 87.19999694824219}, '1_month_later': {'2018-02-02': 96.25}, '3_months_later': {'2018-04-02': 112.1999969482422}, '6_months_later': {'2018-07-02': 138.55000305175778}, '12_months_later': {'2019-01-02': 123.06999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEIX
{'date': '2018-01-02', 'ticker': 'PEIX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.550000190734863, 'high': 4.699999809265137, 'open': 4.550000190734863, 'close': 4.599999904632568, 'ema_50': 4.638785934424495, 'rsi_14': 60.60605710312485, 'target': 4.550000190734863, 'volume': 148900.0, 'ema_200': 5.471900328887075, 'adj_close': 4.599999904632568, 'rsi_lag_1': 57.57575494855651, 'rsi_lag_2': 57.57575494855651, 'rsi_lag_3': 54.83869677651968, 'rsi_lag_4': 50.0, 'rsi_lag_5': 41.37930921085084, 'macd_lag_1': -0.017738016706579707, 'macd_lag_2': -0.023582232734624675, 'macd_lag_3': -0.03578944322204691, 'macd_lag_4': -0.0355769720871697, 'macd_lag_5': -0.04497015544884864, 'macd_12_26_9': -0.0089684911690453, 'macds_12_26_9': -0.03287488479595743}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.550000190734863, '2018-01-04': 4.5, '2018-01-05': 4.5, '2018-01-08': 4.400000095367432, '2018-01-09': 4.550000190734863, '2018-01-10': 4.599999904632568, '2018-01-11': 4.699999809265137, '2018-01-12': 4.699999809265137, '2018-01-16': 4.650000095367432}, '1_month_later': {'2018-02-02': 4.099999904632568}, '3_months_later': {'2018-04-02': 3.0}, '6_months_later': {'2018-07-02': 2.5}, '12_months_later': {'2019-01-02': 1.090000033378601}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PETQ
{'date': '2018-01-02', 'ticker': 'PETQ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.770000457763672, 'high': 22.36000061035156, 'open': 21.88999938964844, 'close': 22.1200008392334, 'ema_50': 22.369971687726945, 'rsi_14': 55.31587799661849, 'target': 21.489999771118164, 'volume': 146300.0, 'ema_200': 23.268302295147425, 'adj_close': 22.1200008392334, 'rsi_lag_1': 59.722226269454, 'rsi_lag_2': 58.743181288164905, 'rsi_lag_3': 58.186737544025185, 'rsi_lag_4': 57.64075142424829, 'rsi_lag_5': 54.7368534648267, 'macd_lag_1': 0.007650942741047828, 'macd_lag_2': 0.018214198115504843, 'macd_lag_3': -0.0052227882331123965, 'macd_lag_4': -0.038115358690369305, 'macd_lag_5': -0.10601658488829102, 'macd_12_26_9': 0.021623934841144887, 'macds_12_26_9': -0.10195488620175297}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 21.489999771118164, '2018-01-04': 21.64999961853028, '2018-01-05': 21.3700008392334, '2018-01-08': 21.8799991607666, '2018-01-09': 22.170000076293945, '2018-01-10': 22.61000061035156, '2018-01-11': 22.559999465942383, '2018-01-12': 23.5, '2018-01-16': 23.29999923706055}, '1_month_later': {'2018-02-02': 22.70000076293945}, '3_months_later': {'2018-04-02': 26.670000076293945}, '6_months_later': {'2018-07-02': 27.5}, '12_months_later': {'2019-01-02': 23.71999931335449}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEI
{'date': '2018-01-02', 'ticker': 'PEI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.859999656677246, 'high': 12.510000228881836, 'open': 11.9399995803833, 'close': 12.470000267028809, 'ema_50': 11.088586701800065, 'rsi_14': 78.88891910822198, 'target': 12.100000381469728, 'volume': 1836300.0, 'ema_200': 12.286913365967285, 'adj_close': 12.470000267028809, 'rsi_lag_1': 74.0909416025645, 'rsi_lag_2': 76.34857037709754, 'rsi_lag_3': 78.81042987719921, 'rsi_lag_4': 66.43112338945079, 'rsi_lag_5': 59.440572498860455, 'macd_lag_1': 0.23960954172734183, 'macd_lag_2': 0.2161552216662681, 'macd_lag_3': 0.18612951984071202, 'macd_lag_4': 0.14509846740386578, 'macd_lag_5': 0.11505374128153356, 'macd_12_26_9': 0.30152264062664536, 'macds_12_26_9': 0.18891777520619094}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.100000381469728, '2018-01-04': 11.630000114440918, '2018-01-05': 11.729999542236328, '2018-01-08': 11.770000457763672, '2018-01-09': 11.5, '2018-01-10': 11.6899995803833, '2018-01-11': 11.65999984741211, '2018-01-12': 11.699999809265137, '2018-01-16': 11.420000076293944}, '1_month_later': {'2018-02-02': 10.5}, '3_months_later': {'2018-04-02': 9.399999618530272}, '6_months_later': {'2018-07-02': 10.779999732971191}, '12_months_later': {'2019-01-02': 6.119999885559082}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEG
{'date': '2018-01-02', 'ticker': 'PEG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.970001220703125, 'high': 51.83000183105469, 'open': 51.5, 'close': 51.0, 'ema_50': 50.79213366641897, 'rsi_14': 31.182819956972025, 'target': 50.7400016784668, 'volume': 2999500.0, 'ema_200': 47.452024359479736, 'adj_close': 46.85052108764648, 'rsi_lag_1': 44.17345350113822, 'rsi_lag_2': 41.06148465920355, 'rsi_lag_3': 28.28787571868601, 'rsi_lag_4': 28.81774602416982, 'rsi_lag_5': 28.12502292484328, 'macd_lag_1': -0.014711866210646463, 'macd_lag_2': -0.0221413179066019, 'macd_lag_3': -0.015011050801547299, 'macd_lag_4': 0.027908291840681443, 'macd_lag_5': 0.08737387270524266, 'macd_12_26_9': -0.0486094540134232, 'macds_12_26_9': 0.10355513268001462}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 50.7400016784668, '2018-01-04': 49.25, '2018-01-05': 49.65999984741211, '2018-01-08': 49.810001373291016, '2018-01-09': 49.630001068115234, '2018-01-10': 49.400001525878906, '2018-01-11': 50.0, '2018-01-12': 50.09999847412109, '2018-01-16': 49.54999923706055}, '1_month_later': {'2018-02-02': 50.040000915527344}, '3_months_later': {'2018-04-02': 49.869998931884766}, '6_months_later': {'2018-07-02': 53.91999816894531}, '12_months_later': {'2019-01-02': 50.83000183105469}}
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.
PEBO
{'date': '2018-01-02', 'ticker': 'PEBO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.709999084472656, 'high': 33.290000915527344, 'open': 32.79999923706055, 'close': 32.959999084472656, 'ema_50': 33.12466000295853, 'rsi_14': 51.13349956520277, 'target': 33.220001220703125, 'volume': 33400.0, 'ema_200': 31.989715373712194, 'adj_close': 29.90618133544922, 'rsi_lag_1': 45.552553163924415, 'rsi_lag_2': 44.12533677285698, 'rsi_lag_3': 49.06667453338813, 'rsi_lag_4': 47.91667701465374, 'rsi_lag_5': 42.58372681758697, 'macd_lag_1': -0.05283639984598665, 'macd_lag_2': -0.002539417137931821, 'macd_lag_3': 0.03522181480616382, 'macd_lag_4': 0.05948842560812295, 'macd_lag_5': 0.06617802381335025, 'macd_12_26_9': -0.06451822427012388, 'macds_12_26_9': 0.01059232511914185}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 33.220001220703125, '2018-01-04': 33.189998626708984, '2018-01-05': 33.06999969482422, '2018-01-08': 32.970001220703125, '2018-01-09': 33.400001525878906, '2018-01-10': 33.75, '2018-01-11': 34.119998931884766, '2018-01-12': 34.45000076293945, '2018-01-16': 33.7599983215332}, '1_month_later': {'2018-02-02': 35.43000030517578}, '3_months_later': {'2018-04-02': 34.75}, '6_months_later': {'2018-07-02': 38.43000030517578}, '12_months_later': {'2019-01-02': 30.43000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEBK
{'date': '2018-01-02', 'ticker': 'PEBK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.61000061035156, 'high': 31.39999961853028, 'open': 31.059999465942383, 'close': 30.61000061035156, 'ema_50': 31.097565055749268, 'rsi_14': 32.28913215129738, 'target': 30.989999771118164, 'volume': 10900.0, 'ema_200': 28.675027111450554, 'adj_close': 28.805747985839844, 'rsi_lag_1': 33.57663251227595, 'rsi_lag_2': 43.37662106039656, 'rsi_lag_3': 45.635905717051266, 'rsi_lag_4': 46.56487993896493, 'rsi_lag_5': 60.94986993288044, 'macd_lag_1': 0.09564786020628091, 'macd_lag_2': 0.18345303679744518, 'macd_lag_3': 0.23685604115604875, 'macd_lag_4': 0.31684520364366264, 'macd_lag_5': 0.38276822245162023, 'macd_12_26_9': 0.01938286628272934, 'macds_12_26_9': 0.2136890903158208}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 30.989999771118164, '2018-01-04': 31.68000030517578, '2018-01-05': 31.81999969482422, '2018-01-08': 31.770000457763672, '2018-01-09': 31.350000381469727, '2018-01-10': 31.799999237060547, '2018-01-11': 31.989999771118164, '2018-01-12': 31.979999542236328, '2018-01-16': 31.520000457763672}, '1_month_later': {'2018-02-02': 31.5}, '3_months_later': {'2018-04-02': 29.39999961853028}, '6_months_later': {'2018-07-02': 32.29999923706055}, '12_months_later': {'2019-01-02': 25.3799991607666}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEB
{'date': '2018-01-02', 'ticker': 'PEB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 37.0099983215332, 'high': 37.93999862670898, 'open': 37.18000030517578, 'close': 37.88999938964844, 'ema_50': 37.16570908917089, 'rsi_14': 53.13899504261164, 'target': 37.43000030517578, 'volume': 534000.0, 'ema_200': 34.177332106096536, 'adj_close': 34.3333625793457, 'rsi_lag_1': 44.26667426213745, 'rsi_lag_2': 51.71340156200247, 'rsi_lag_3': 50.15108943434247, 'rsi_lag_4': 43.636346822306045, 'rsi_lag_5': 41.916163561232615, 'macd_lag_1': 0.11938954279813174, 'macd_lag_2': 0.1906806569573405, 'macd_lag_3': 0.21475494253852645, 'macd_lag_4': 0.2362495462355909, 'macd_lag_5': 0.28264824402619126, 'macd_12_26_9': 0.11961011150101086, 'macds_12_26_9': 0.22526230830352292}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 37.43000030517578, '2018-01-04': 37.27999877929688, '2018-01-05': 37.31999969482422, '2018-01-08': 37.86000061035156, '2018-01-09': 37.52000045776367, '2018-01-10': 37.720001220703125, '2018-01-11': 38.040000915527344, '2018-01-12': 37.970001220703125, '2018-01-16': 38.16999816894531}, '1_month_later': {'2018-02-02': 37.59999847412109}, '3_months_later': {'2018-04-02': 33.720001220703125}, '6_months_later': {'2018-07-02': 38.7400016784668}, '12_months_later': {'2019-01-02': 27.88999938964844}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PE
{'date': '2018-01-02', 'ticker': 'PE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.739999771118164, 'high': 30.489999771118164, 'open': 29.739999771118164, 'close': 30.46999931335449, 'ema_50': 27.251726926390237, 'rsi_14': 74.9039609836154, 'target': 30.790000915527344, 'volume': 3314700.0, 'ema_200': 27.759914229023522, 'adj_close': 30.46999931335449, 'rsi_lag_1': 73.00274910333624, 'rsi_lag_2': 78.75861364993037, 'rsi_lag_3': 79.35655883671186, 'rsi_lag_4': 76.28865852684363, 'rsi_lag_5': 70.16807643072535, 'macd_lag_1': 0.9037212531216383, 'macd_lag_2': 0.8905224973045236, 'macd_lag_3': 0.8179593866963124, 'macd_lag_4': 0.727699557407778, 'macd_lag_5': 0.5275830523231093, 'macd_12_26_9': 0.9859284857641804, 'macds_12_26_9': 0.6630487539114829}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 30.790000915527344, '2018-01-04': 31.0, '2018-01-05': 30.85000038146973, '2018-01-08': 30.57999992370605, '2018-01-09': 30.14999961853028, '2018-01-10': 29.309999465942383, '2018-01-11': 29.1200008392334, '2018-01-12': 29.11000061035156, '2018-01-16': 28.71999931335449}, '1_month_later': {'2018-02-02': 23.1299991607666}, '3_months_later': {'2018-04-02': 28.0}, '6_months_later': {'2018-07-02': 29.93000030517578}, '12_months_later': {'2019-01-02': 16.219999313354492}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PEGA
{'date': '2018-01-02', 'ticker': 'PEGA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.29999923706055, 'high': 48.45000076293945, 'open': 47.5, 'close': 48.0, 'ema_50': 51.08533839519784, 'rsi_14': 36.220452573933116, 'target': 48.04999923706055, 'volume': 368500.0, 'ema_200': 51.44972787471164, 'adj_close': 47.77997589111328, 'rsi_lag_1': 27.67853493587205, 'rsi_lag_2': 33.60653277267619, 'rsi_lag_3': 27.58615473355283, 'rsi_lag_4': 29.203530860596672, 'rsi_lag_5': 27.19298363025524, 'macd_lag_1': -1.459007786545996, 'macd_lag_2': -1.5254316170168565, 'macd_lag_3': -1.572751599935387, 'macd_lag_4': -1.5644544589985117, 'macd_lag_5': -1.551472302843834, 'macd_12_26_9': -1.3225333084802884, 'macds_12_26_9': -1.4830417931212008}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 48.04999923706055, '2018-01-04': 48.25, '2018-01-05': 47.400001525878906, '2018-01-08': 47.150001525878906, '2018-01-09': 49.5, '2018-01-10': 49.20000076293945, '2018-01-11': 50.34999847412109, '2018-01-12': 50.29999923706055, '2018-01-16': 49.20000076293945}, '1_month_later': {'2018-02-02': 50.400001525878906}, '3_months_later': {'2018-04-02': 59.75}, '6_months_later': {'2018-07-02': 55.150001525878906}, '12_months_later': {'2019-01-02': 47.650001525878906}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PETS
{'date': '2018-01-02', 'ticker': 'PETS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.zacks.com/stock/news/287515/bet-on-these-5-retail-growth-stocks-for-a-thriving-2018?cid=CS-BENZ-FT-287515', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bet on These 5 Retail Growth Stocks for a Thriving 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.zacks.com/stock/news/287484/petmed-rides-on-solid-reorders-new-orders-amid-competition?cid=CS-BENZ-FT-287484', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'PetMed Rides on Solid Reorders & New Orders Amid Competition', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 45.540000915527344, 'high': 47.560001373291016, 'open': 45.91999816894531, 'close': 47.0, 'ema_50': 41.86468325587423, 'rsi_14': 65.95114535458458, 'target': 46.68999862670898, 'volume': 576200.0, 'ema_200': 36.19560901607321, 'adj_close': 42.50017547607422, 'rsi_lag_1': 60.787529607699724, 'rsi_lag_2': 61.34106124954644, 'rsi_lag_3': 67.42117658523406, 'rsi_lag_4': 68.8197687577115, 'rsi_lag_5': 68.8197687577115, 'macd_lag_1': 1.7710581524234144, 'macd_lag_2': 1.9043499023843822, 'macd_lag_3': 2.013178823683397, 'macd_lag_4': 2.0576379261236255, 'macd_lag_5': 2.07223655579363, 'macd_12_26_9': 1.766102414961992, 'macds_12_26_9': 1.8783848082818064}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 46.68999862670898, '2018-01-04': 47.93000030517578, '2018-01-05': 48.33000183105469, '2018-01-08': 49.400001525878906, '2018-01-09': 48.619998931884766, '2018-01-10': 49.65999984741211, '2018-01-11': 51.68000030517578, '2018-01-12': 52.93999862670898, '2018-01-16': 51.77999877929688}, '1_month_later': {'2018-02-02': 43.27000045776367}, '3_months_later': {'2018-04-02': 41.220001220703125}, '6_months_later': {'2018-07-02': 44.56999969482422}, '12_months_later': {'2019-01-02': 23.280000686645508}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PETZ
{'date': '2018-01-02', 'ticker': 'PETZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.599999904632568, 'high': 5.931000232696533, 'open': 5.690000057220459, 'close': 5.760000228881836, 'ema_50': 10.216777630741648, 'rsi_14': 35.71428885343741, 'target': 5.650000095367432, 'volume': 117800.0, 'ema_200': 10.155861561817302, 'adj_close': 5.760000228881836, 'rsi_lag_1': 38.41059323809081, 'rsi_lag_2': 44.10480381169888, 'rsi_lag_3': 41.735535480230176, 'rsi_lag_4': 29.347830218343034, 'rsi_lag_5': 34.53608255869152, 'macd_lag_1': -1.713649050180262, 'macd_lag_2': -1.7746840647003648, 'macd_lag_3': -1.850191535143317, 'macd_lag_4': -1.927800094593036, 'macd_lag_5': -1.9580888752098806, 'macd_12_26_9': -1.6367281517732994, 'macds_12_26_9': -1.9334893321887683}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.650000095367432, '2018-01-04': 5.610000133514404, '2018-01-05': 5.409999847412109, '2018-01-08': 5.539999961853027, '2018-01-09': 5.559999942779541, '2018-01-10': 5.309999942779541, '2018-01-11': 5.409999847412109, '2018-01-12': 5.510000228881836, '2018-01-16': 5.510000228881836}, '1_month_later': {'2018-02-02': 4.389999866485596}, '3_months_later': {'2018-04-02': 4.260000228881836}, '6_months_later': {'2018-07-02': 5.440000057220459}, '12_months_later': {'2019-01-02': 0.5879999995231628}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFMT
{'date': '2018-01-02', 'ticker': 'PFMT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.600000023841858, 'high': 1.6799999475479126, 'open': 1.6699999570846558, 'close': 1.6200000047683716, 'ema_50': 1.757573407104803, 'rsi_14': 30.434774721497106, 'target': 1.6100000143051147, 'volume': 13000.0, 'ema_200': 1.9482017668365181, 'adj_close': 1.6200000047683716, 'rsi_lag_1': 32.5581305087551, 'rsi_lag_2': 29.268284173037344, 'rsi_lag_3': 28.571420461947667, 'rsi_lag_4': 28.571420461947667, 'rsi_lag_5': 28.571412352471313, 'macd_lag_1': -0.05123076539649807, 'macd_lag_2': -0.053964737224684756, 'macd_lag_3': -0.054632976122329646, 'macd_lag_4': -0.05469123048081759, 'macd_lag_5': -0.05397007541865717, 'macd_12_26_9': -0.05089809840098858, 'macds_12_26_9': -0.04777788893021333}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.6100000143051147, '2018-01-04': 1.6200000047683716, '2018-01-05': 1.7400000095367432, '2018-01-08': 1.6699999570846558, '2018-01-09': 1.6200000047683716, '2018-01-10': 1.6100000143051147, '2018-01-11': 1.940000057220459, '2018-01-12': 2.309999942779541, '2018-01-16': 2.4200000762939453}, '1_month_later': {'2018-02-02': 2.5899999141693115}, '3_months_later': {'2018-04-02': 2.900000095367432}, '6_months_later': {'2018-07-02': 2.190000057220459}, '12_months_later': {'2019-01-02': 1.899999976158142}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFLT
{'date': '2018-01-02', 'ticker': 'PFLT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/new-strong-sell-stocks-for-january-2nd-2018-01-02', 'news_author': None, 'news_article': 'Here are 5 stocks added to the Zacks Rank #5 (Strong Sell) List today:\nApplied Optoelectronics, Inc.AAOI is a designer and manufacturer of fiber-optic networking products. The Zacks Consensus Estimate for its current year earnings has been revised 0.9% downward over the last 30 days.\nWesco Aircraft Holdings, Inc.WAIR is a distributor of aerospace bearing products. The Zacks Consensus Estimate for its current year earnings has been revised 3% downward over the last 30 days.\nVeriFone Systems, Inc.PAY is a provider of payments and commerce solutions. The Zacks Consensus Estimate for its current year earnings has been revised 4.5% downward over the last 30 days.\nSpark Energy, Inc.SPKE is the operator of a retail energy services company. The Zacks Consensus Estimate for its current year earnings has been revised 38.3% downward over the last 30 days.\nPennantPark Floating Rate Capital Ltd.PFLT is a provider of business development services. The Zacks Consensus Estimate for its current year earnings has been revised 2% downward over the last 30 days.\nView the entire Zacks Rank #5 List .\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\nSpark Energy, Inc. (SPKE): Free Stock Analysis Report\nVerifone Systems, Inc. (PAY): Free Stock Analysis Report\nWesco Aircraft Holdings, Inc. (WAIR): Free Stock Analysis Report\nApplied Optoelectronics, Inc. (AAOI): Free Stock Analysis Report\nPennantPark Floating Rate Capital Ltd. (PFLT): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\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.\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': 'PennantPark Floating Rate Capital Ltd.PFLT is a provider of business development services. Click to get this free report Spark Energy, Inc. (SPKE): Free Stock Analysis Report Verifone Systems, Inc. (PAY): Free Stock Analysis Report Wesco Aircraft Holdings, Inc. (WAIR): Free Stock Analysis Report Applied Optoelectronics, Inc. (AAOI): Free Stock Analysis Report PennantPark Floating Rate Capital Ltd. (PFLT): Free Stock Analysis Report To read this article on Zacks.com click here. Here are 5 stocks added to the Zacks Rank #5 (Strong Sell) List today: Applied Optoelectronics, Inc.AAOI is a designer and manufacturer of fiber-optic networking products.', 'news_luhn_summary': 'Click to get this free report Spark Energy, Inc. (SPKE): Free Stock Analysis Report Verifone Systems, Inc. (PAY): Free Stock Analysis Report Wesco Aircraft Holdings, Inc. (WAIR): Free Stock Analysis Report Applied Optoelectronics, Inc. (AAOI): Free Stock Analysis Report PennantPark Floating Rate Capital Ltd. (PFLT): Free Stock Analysis Report To read this article on Zacks.com click here. PennantPark Floating Rate Capital Ltd.PFLT is a provider of business development services. The Zacks Consensus Estimate for its current year earnings has been revised 0.9% downward over the last 30 days.', 'news_article_title': 'New Strong Sell Stocks for January 2nd', 'news_lexrank_summary': 'PennantPark Floating Rate Capital Ltd.PFLT is a provider of business development services. Click to get this free report Spark Energy, Inc. (SPKE): Free Stock Analysis Report Verifone Systems, Inc. (PAY): Free Stock Analysis Report Wesco Aircraft Holdings, Inc. (WAIR): Free Stock Analysis Report Applied Optoelectronics, Inc. (AAOI): Free Stock Analysis Report PennantPark Floating Rate Capital Ltd. (PFLT): Free Stock Analysis Report To read this article on Zacks.com click here. View the entire Zacks Rank #5 List .', 'news_textrank_summary': 'Click to get this free report Spark Energy, Inc. (SPKE): Free Stock Analysis Report Verifone Systems, Inc. (PAY): Free Stock Analysis Report Wesco Aircraft Holdings, Inc. (WAIR): Free Stock Analysis Report Applied Optoelectronics, Inc. (AAOI): Free Stock Analysis Report PennantPark Floating Rate Capital Ltd. (PFLT): Free Stock Analysis Report To read this article on Zacks.com click here. PennantPark Floating Rate Capital Ltd.PFLT is a provider of business development services. The Zacks Consensus Estimate for its current year earnings has been revised 0.9% downward over the last 30 days.'}, {'news_url': 'https://seekingalpha.com/article/4134775-10-percent-high-yield-portfolio-2017-final-results-bdc-mreit-50-50-allocation?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '10% High-Yield Portfolio 2017 Final Results (BDC And mREIT), 50/50 Allocation', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.zacks.com/stock/news/287415/new-strong-sell-stocks-for-january-2nd?cid=CS-BENZ-FT-287415', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'New Strong Sell Stocks for January 2nd', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, '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': 13.84000015258789, 'open': 13.800000190734863, 'close': 13.739999771118164, 'ema_50': 13.982933578377262, 'rsi_14': 32.926820758425464, 'target': 13.59000015258789, 'volume': 189900.0, 'ema_200': 13.99232473588188, 'adj_close': 10.715932846069336, 'rsi_lag_1': 32.926898765460805, 'rsi_lag_2': 40.5063871807315, 'rsi_lag_3': 39.74355996092389, 'rsi_lag_4': 45.33336554625055, 'rsi_lag_5': 53.62319441507398, 'macd_lag_1': -0.061237850578002906, 'macd_lag_2': -0.05260091746502482, 'macd_lag_3': -0.04895739263322341, 'macd_lag_4': -0.03646748374429798, 'macd_lag_5': -0.02610451572348893, 'macd_12_26_9': -0.06571140923684915, 'macds_12_26_9': -0.047273380022161436}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.59000015258789, '2018-01-04': 13.619999885559082, '2018-01-05': 13.630000114440918, '2018-01-08': 13.630000114440918, '2018-01-09': 13.59000015258789, '2018-01-10': 13.529999732971191, '2018-01-11': 13.619999885559082, '2018-01-12': 13.68000030517578, '2018-01-16': 13.550000190734863}, '1_month_later': {'2018-02-02': 13.68000030517578}, '3_months_later': {'2018-04-02': 13.079999923706056}, '6_months_later': {'2018-07-02': 13.770000457763672}, '12_months_later': {'2019-01-02': 11.800000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFL
{'date': '2018-01-02', 'ticker': 'PFL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.649999618530272, 'high': 11.770000457763672, 'open': 11.68000030517578, 'close': 11.770000457763672, 'ema_50': 11.737152074230313, 'rsi_14': 55.7143499413491, 'target': 11.859999656677246, 'volume': 95600.0, 'ema_200': 11.663554347098135, 'adj_close': 9.281002044677734, 'rsi_lag_1': 51.562537252938405, 'rsi_lag_2': 38.888888888888715, 'rsi_lag_3': 38.02814820386626, 'rsi_lag_4': 44.7368487096539, 'rsi_lag_5': 50.617298486129336, 'macd_lag_1': -0.029368631039533355, 'macd_lag_2': -0.036900958733523836, 'macd_lag_3': -0.0408872781701799, 'macd_lag_4': -0.0423260290297911, 'macd_lag_5': -0.04558306012108204, 'macd_12_26_9': -0.015953050092335275, 'macds_12_26_9': -0.037229958811005354}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.859999656677246, '2018-01-04': 11.81999969482422, '2018-01-05': 11.739999771118164, '2018-01-08': 11.899999618530272, '2018-01-09': 11.829999923706056, '2018-01-10': 11.81999969482422, '2018-01-11': 11.670000076293944, '2018-01-12': 11.609999656677246, '2018-01-16': 11.56999969482422}, '1_month_later': {'2018-02-02': 11.670000076293944}, '3_months_later': {'2018-04-02': 11.699999809265137}, '6_months_later': {'2018-07-02': 12.039999961853027}, '12_months_later': {'2019-01-02': 10.979999542236328}}
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.
PFIS
{'date': '2018-01-02', 'ticker': 'PFIS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 45.59999847412109, 'high': 47.5099983215332, 'open': 46.650001525878906, 'close': 45.59999847412109, 'ema_50': 47.31997625073046, 'rsi_14': 39.962831539020314, 'target': 46.34999847412109, 'volume': 10500.0, 'ema_200': 44.77331326390498, 'adj_close': 42.19937133789063, 'rsi_lag_1': 43.78820280042188, 'rsi_lag_2': 46.994521850063826, 'rsi_lag_3': 49.59816509261255, 'rsi_lag_4': 47.18068051721837, 'rsi_lag_5': 45.25386248403176, 'macd_lag_1': 0.11746017024115929, 'macd_lag_2': 0.2926392225430092, 'macd_lag_3': 0.44070240769571, 'macd_lag_4': 0.5764379974450122, 'macd_lag_5': 0.7637015399610618, 'macd_12_26_9': -0.09930385841443012, 'macds_12_26_9': 0.3963867195677618}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 46.34999847412109, '2018-01-04': 46.400001525878906, '2018-01-05': 47.52999877929688, '2018-01-08': 46.93999862670898, '2018-01-09': 46.29999923706055, '2018-01-10': 45.9900016784668, '2018-01-11': 46.400001525878906, '2018-01-12': 46.70000076293945, '2018-01-16': 46.81999969482422}, '1_month_later': {'2018-02-02': 43.93999862670898}, '3_months_later': {'2018-04-02': 44.900001525878906}, '6_months_later': {'2018-07-02': 46.900001525878906}, '12_months_later': {'2019-01-02': 44.68999862670898}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFIN
{'date': '2018-01-02', 'ticker': 'PFIN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.350000381469727, 'high': 8.390000343322754, 'open': 8.390000343322754, 'close': 8.350000381469727, 'ema_50': 7.642798163099747, 'rsi_14': 64.64969095939489, 'target': 8.470000267028809, 'volume': 800.0, 'ema_200': 7.289140239593408, 'adj_close': 7.86793851852417, 'rsi_lag_1': 63.836478458958425, 'rsi_lag_2': 59.79381629121344, 'rsi_lag_3': 70.19607725807113, 'rsi_lag_4': 68.33332505491077, 'rsi_lag_5': 62.78027279789439, 'macd_lag_1': 0.23750433836393192, 'macd_lag_2': 0.22398391341569202, 'macd_lag_3': 0.23299625567529603, 'macd_lag_4': 0.19936480615849828, 'macd_lag_5': 0.18001174580817558, 'macd_12_26_9': 0.24299752065485958, 'macds_12_26_9': 0.1875397927708475}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.470000267028809, '2018-01-04': 8.473799705505371, '2018-01-05': 8.3100004196167, '2018-01-08': 8.0600004196167, '2018-01-09': 7.96999979019165, '2018-01-10': 8.100000381469727, '2018-01-11': 8.399999618530273, '2018-01-12': 8.40999984741211, '2018-01-16': 8.199999809265137}, '1_month_later': {'2018-02-02': 7.269999980926514}, '3_months_later': {'2018-04-02': 7.75}, '6_months_later': {'2018-07-02': 8.6899995803833}, '12_months_later': {'2019-01-02': 7.820000171661377}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFIG
{'date': '2018-01-02', 'ticker': 'PFIG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.46999931335449, 'high': 26.18000030517578, 'open': 25.549999237060547, 'close': 25.530000686645508, 'ema_50': 25.57334803947982, 'rsi_14': 44.77615764332116, 'target': 25.57999992370605, 'volume': 149000.0, 'ema_200': 25.595134022693443, 'adj_close': 23.748987197875977, 'rsi_lag_1': 49.23075568753714, 'rsi_lag_2': 47.61900436871629, 'rsi_lag_3': 52.45906252638227, 'rsi_lag_4': 45.454640033291724, 'rsi_lag_5': 28.571493446926, 'macd_lag_1': -0.014828940278889036, 'macd_lag_2': -0.019974326941742504, 'macd_lag_3': -0.024214765463604238, 'macd_lag_4': -0.03334771271482495, 'macd_lag_5': -0.03739237518478333, 'macd_12_26_9': -0.013819467730758817, 'macds_12_26_9': -0.0209593558684784}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.57999992370605, '2018-01-04': 25.549999237060547, '2018-01-05': 25.530000686645508, '2018-01-08': 25.549999237060547, '2018-01-09': 25.450000762939453, '2018-01-10': 25.520000457763672, '2018-01-11': 25.479999542236328, '2018-01-12': 25.489999771118164, '2018-01-16': 25.479999542236328}, '1_month_later': {'2018-02-02': 25.21999931335449}, '3_months_later': {'2018-04-02': 24.940000534057617}, '6_months_later': {'2018-07-02': 24.64999961853028}, '12_months_later': {'2019-01-02': 24.63999938964844}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFIE
{'date': '2018-01-02', 'ticker': 'PFIE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.809999942779541, 'high': 1.940000057220459, 'open': 1.9299999475479128, 'close': 1.820000052452088, 'ema_50': 1.846110788720913, 'rsi_14': 57.608702694311894, 'target': 1.919999957084656, 'volume': 84700.0, 'ema_200': 1.6259164456137367, 'adj_close': 1.820000052452088, 'rsi_lag_1': 63.09524113629173, 'rsi_lag_2': 69.51221285088253, 'rsi_lag_3': 67.1532980094648, 'rsi_lag_4': 62.50000338662804, 'rsi_lag_5': 60.7142796321768, 'macd_lag_1': 0.02048000896303681, 'macd_lag_2': 0.019020822800812187, 'macd_lag_3': 0.01382714945202057, 'macd_lag_4': 0.007913381521679863, 'macd_lag_5': 0.0003519702523877566, 'macd_12_26_9': 0.013412655199640078, 'macds_12_26_9': 0.005990080848289447}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 1.919999957084656, '2018-01-04': 1.909999966621399, '2018-01-05': 1.919999957084656, '2018-01-08': 1.899999976158142, '2018-01-09': 1.899999976158142, '2018-01-10': 1.899999976158142, '2018-01-11': 1.899999976158142, '2018-01-12': 1.899999976158142, '2018-01-16': 1.940000057220459}, '1_month_later': {'2018-02-02': 2.25}, '3_months_later': {'2018-04-02': 2.640000104904175}, '6_months_later': {'2018-07-02': 3.5799999237060547}, '12_months_later': {'2019-01-02': 1.6100000143051147}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFI
{'date': '2018-01-02', 'ticker': 'PFI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.84000015258789, 'high': 35.119998931884766, 'open': 34.959999084472656, 'close': 34.84000015258789, 'ema_50': 34.4865057485181, 'rsi_14': 44.06782400672421, 'target': 35.13999938964844, 'volume': 1800.0, 'ema_200': 32.76730342480081, 'adj_close': 33.41046142578125, 'rsi_lag_1': 48.14819393498413, 'rsi_lag_2': 53.50876459161872, 'rsi_lag_3': 53.912968482297316, 'rsi_lag_4': 54.34784411483238, 'rsi_lag_5': 52.74263980388906, 'macd_lag_1': 0.17449452321974235, 'macd_lag_2': 0.18297555971181367, 'macd_lag_3': 0.1850301412727262, 'macd_lag_4': 0.20125208051027954, 'macd_lag_5': 0.21801147154985046, 'macd_12_26_9': 0.14432279687903815, 'macds_12_26_9': 0.20138747246886826}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 35.13999938964844, '2018-01-04': 35.27000045776367, '2018-01-05': 35.52000045776367, '2018-01-08': 35.619998931884766, '2018-01-09': 36.0, '2018-01-10': 35.939998626708984, '2018-01-11': 36.2599983215332, '2018-01-12': 36.400001525878906, '2018-01-16': 36.08000183105469}, '1_month_later': {'2018-02-02': 36.25}, '3_months_later': {'2018-04-02': 34.25}, '6_months_later': {'2018-07-02': 34.63999938964844}, '12_months_later': {'2019-01-02': 28.32999992370605}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFGC
{'date': '2018-01-02', 'ticker': 'PFGC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 33.0, 'high': 33.75, 'open': 33.150001525878906, 'close': 33.599998474121094, 'ema_50': 30.380228361170754, 'rsi_14': 70.96771414894772, 'target': 33.04999923706055, 'volume': 746000.0, 'ema_200': 27.976078739381986, 'adj_close': 33.599998474121094, 'rsi_lag_1': 68.9654809541473, 'rsi_lag_2': 74.2268061508645, 'rsi_lag_3': 75.96154198843993, 'rsi_lag_4': 77.0642153673536, 'rsi_lag_5': 59.84253411225232, 'macd_lag_1': 1.0013216547922283, 'macd_lag_2': 0.9958326096089962, 'macd_lag_3': 0.9641597027556692, 'macd_lag_4': 0.9148002464689569, 'macd_lag_5': 0.8741300426304228, 'macd_12_26_9': 1.0340971556646572, 'macds_12_26_9': 0.9286497555950325}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 33.04999923706055, '2018-01-04': 33.29999923706055, '2018-01-05': 33.79999923706055, '2018-01-08': 32.900001525878906, '2018-01-09': 33.0, '2018-01-10': 33.25, '2018-01-11': 33.0, '2018-01-12': 33.0, '2018-01-16': 33.54999923706055}, '1_month_later': {'2018-02-02': 32.5}, '3_months_later': {'2018-04-02': 29.0}, '6_months_later': {'2018-07-02': 36.54999923706055}, '12_months_later': {'2019-01-02': 31.63999938964844}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFG
{'date': '2018-01-02', 'ticker': 'PFG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/18/01/10971231/principal-financial-group-to-acquire-ownership-of-jv-with-punjab-national-bank-r', 'news_author': None, 'news_article': None, 'news_publisher': 'Charles Gross', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Principal Financial Group To Acquire Ownership of JV With Punjab National Bank -Reuters', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 69.91999816894531, 'high': 71.31999969482422, 'open': 71.18000030517578, 'close': 70.37999725341797, 'ema_50': 69.44231929624723, 'rsi_14': 37.739882126920975, 'target': 70.52999877929688, 'volume': 760300.0, 'ema_200': 65.14571527535195, 'adj_close': 63.36832809448242, 'rsi_lag_1': 37.34175890858111, 'rsi_lag_2': 54.273506363513356, 'rsi_lag_3': 52.75937334739069, 'rsi_lag_4': 57.36961294329523, 'rsi_lag_5': 54.54548530287446, 'macd_lag_1': 0.4874161562055832, 'macd_lag_2': 0.5629141610649242, 'macd_lag_3': 0.5665799493988857, 'macd_lag_4': 0.5955994525359642, 'macd_lag_5': 0.5975026815414992, 'macd_12_26_9': 0.40835169892335443, 'macds_12_26_9': 0.5536394596099254}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 70.52999877929688, '2018-01-04': 71.44999694824219, '2018-01-05': 72.0, '2018-01-08': 72.20999908447266, '2018-01-09': 72.97000122070312, '2018-01-10': 73.37999725341797, '2018-01-11': 73.87999725341797, '2018-01-12': 74.20999908447266, '2018-01-16': 72.9000015258789}, '1_month_later': {'2018-02-02': 66.3499984741211}, '3_months_later': {'2018-04-02': 59.41999816894531}, '6_months_later': {'2018-07-02': 52.86000061035156}, '12_months_later': {'2019-01-02': 44.36000061035156}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFFR
{'date': '2018-01-02', 'ticker': 'PFFR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.364999771118164, 'high': 25.59499931335449, 'open': 25.59000015258789, 'close': 25.39999961853028, 'ema_50': 25.751987166527066, 'rsi_14': 17.95587824630104, 'target': 25.424999237060547, 'volume': 7600.0, 'ema_200': 25.812822073845748, 'adj_close': 21.802143096923828, 'rsi_lag_1': 17.150506654321006, 'rsi_lag_2': 20.051816667695604, 'rsi_lag_3': 25.190795236975035, 'rsi_lag_4': 26.329512872718553, 'rsi_lag_5': 26.74575811185794, 'macd_lag_1': -0.09954407536345755, 'macd_lag_2': -0.09117721539491441, 'macd_lag_3': -0.08019005066092433, 'macd_lag_4': -0.0680544535556109, 'macd_lag_5': -0.0536115459890496, 'macd_12_26_9': -0.10656038022749925, 'macds_12_26_9': -0.06721046137946703}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.424999237060547, '2018-01-04': 25.39999961853028, '2018-01-05': 25.350000381469727, '2018-01-08': 25.350000381469727, '2018-01-09': 25.34000015258789, '2018-01-10': 25.309999465942383, '2018-01-11': 25.21999931335449, '2018-01-12': 25.239999771118164, '2018-01-16': 25.21199989318848}, '1_month_later': {'2018-02-02': 24.39800071716309}, '3_months_later': {'2018-04-02': 24.290000915527344}, '6_months_later': {'2018-07-02': 24.76000022888184}, '12_months_later': {'2019-01-02': 22.39999961853028}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PFFD
{'date': '2018-01-02', 'ticker': 'PFFD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.559999465942383, 'high': 24.979999542236328, 'open': 24.979999542236328, 'close': 24.559999465942383, 'ema_50': 25.036635645175156, 'rsi_14': 24.81335715149895, 'target': 24.70000076293945, 'volume': 17700.0, 'ema_200': 25.094234638559268, 'adj_close': 21.572254180908203, 'rsi_lag_1': 31.591346698380306, 'rsi_lag_2': 36.55911528180621, 'rsi_lag_3': 45.11684161644694, 'rsi_lag_4': 46.657809918198005, 'rsi_lag_5': 44.85862852631921, 'macd_lag_1': -0.03039001272977515, 'macd_lag_2': -0.01913084296106149, 'macd_lag_3': -0.009063607235855642, 'macd_lag_4': -0.009522316243188556, 'macd_lag_5': -0.0041657337464542366, 'macd_12_26_9': -0.0643920158367699, 'macds_12_26_9': -0.018622812226475063}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.70000076293945, '2018-01-04': 24.70000076293945, '2018-01-05': 24.742000579833984, '2018-01-08': 24.79999923706055, '2018-01-09': 24.75, '2018-01-10': 24.76000022888184, '2018-01-11': 24.738000869750977, '2018-01-12': 24.7450008392334, '2018-01-16': 24.71999931335449}, '1_month_later': {'2018-02-02': 24.15999984741211}, '3_months_later': {'2018-04-02': 24.489999771118164}, '6_months_later': {'2018-07-02': 24.489999771118164}, '12_months_later': {'2019-01-02': 22.70000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.