Datasets:
noxneural
/
stock_2018

Dataset card Data Studio Files Community
1
ticker
large_stringlengths
1
5
question
large_stringlengths
3.27k
285k
response
large_stringlengths
20
574
system_prompt
large_stringclasses
1 value
MCD
{'date': '2018-01-02', 'ticker': 'MCD', '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/price-target/18/01/10972712/5-biggest-price-target-changes-for-tuesday', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '5 Biggest Price Target Changes For Tuesday', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/analyst-ratings/analyst-color/18/01/10972700/nomura-raises-mcdonalds-price-target-from-180-to-190-ch', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Nomura Raises McDonald's Price Target From $180 To $190, Chooses Co. As Top U.S. Restaurant Pick For 2018 Due To Woes At Subway, New Dollar Menu Price Points, And Possibility Of A Stock Split As Well As Ongoing Rollout Of Fresh Beef", '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': 172.66000366210938, 'high': 174.47999572753906, 'open': 173.72999572753906, 'close': 173.22000122070312, 'ema_50': 169.50628864115993, 'rsi_14': 49.85863031035177, 'target': 172.49000549316406, 'volume': 3696900.0, 'ema_200': 155.8059642943588, 'adj_close': 173.22000122070312, 'rsi_lag_1': 44.64103117795378, 'rsi_lag_2': 51.071036596904214, 'rsi_lag_3': 45.5050128708847, 'rsi_lag_4': 39.53193824320871, 'rsi_lag_5': 53.72702873171863, 'macd_lag_1': 0.813568540445317, 'macd_lag_2': 0.907269716206315, 'macd_lag_3': 0.9138869024247072, 'macd_lag_4': 0.9528225639553796, 'macd_lag_5': 1.1291689772651239, 'macd_12_26_9': 0.8186342766345263, 'macds_12_26_9': 1.0855959615244148}, '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': 172.49000549316406, '2018-01-04': 173.6999969482422, '2018-01-05': 174.0500030517578, '2018-01-08': 173.92999267578125, '2018-01-09': 173.5399932861328, '2018-01-10': 173.50999450683594, '2018-01-11': 173.38999938964844, '2018-01-12': 173.57000732421875, '2018-01-16': 173.67999267578125}, '1_month_later': {'2018-02-02': 169.3800048828125}, '3_months_later': {'2018-04-02': 157.72000122070312}, '6_months_later': {'2018-07-02': 156.8699951171875}, '12_months_later': {'2019-01-02': 176.05999755859375}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCR
{'date': '2018-01-02', 'ticker': 'MCR', '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/3320772-mfs-investment-management-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': 'MFS Investment Management declares monthly distributions', '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': 8.5, 'high': 8.529999732971191, 'open': 8.5, 'close': 8.5, 'ema_50': 8.509229021338108, 'rsi_14': 51.51517778702548, 'target': 8.529999732971191, 'volume': 118500.0, 'ema_200': 8.562680751595435, 'adj_close': 6.811561584472656, 'rsi_lag_1': 45.45446663892356, 'rsi_lag_2': 45.45446663892356, 'rsi_lag_3': 46.8749441209253, 'rsi_lag_4': 48.48482221297452, 'rsi_lag_5': 51.42859478370808, 'macd_lag_1': -0.006786450477672901, 'macd_lag_2': -0.007454537575698694, 'macd_lag_3': -0.0081988300160738, 'macd_lag_4': -0.011065972357492626, 'macd_lag_5': -0.012528118739403737, 'macd_12_26_9': -0.004590203835935114, 'macds_12_26_9': -0.008157215010781663}, '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': 8.529999732971191, '2018-01-04': 8.510000228881836, '2018-01-05': 8.539999961853027, '2018-01-08': 8.529999732971191, '2018-01-09': 8.510000228881836, '2018-01-10': 8.5, '2018-01-11': 8.510000228881836, '2018-01-12': 8.470000267028809, '2018-01-16': 8.449999809265137}, '1_month_later': {'2018-02-02': 8.229999542236328}, '3_months_later': {'2018-04-02': 8.149999618530273}, '6_months_later': {'2018-07-02': 7.929999828338623}, '12_months_later': {'2019-01-02': 7.420000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCN
{'date': '2018-01-02', 'ticker': 'MCN', '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': 7.710000038146973, 'high': 7.75, 'open': 7.71999979019165, 'close': 7.739999771118164, 'ema_50': 7.651121865642071, 'rsi_14': 60.344819081381324, 'target': 7.739999771118164, 'volume': 44000.0, 'ema_200': 7.7625254148136165, 'adj_close': 5.883944511413574, 'rsi_lag_1': 61.66665739483156, 'rsi_lag_2': 57.894706021614944, 'rsi_lag_3': 55.357138295562436, 'rsi_lag_4': 45.61406150528243, 'rsi_lag_5': 44.827594711715136, 'macd_lag_1': 0.006742182194693136, 'macd_lag_2': -0.0018008665525313106, 'macd_lag_3': -0.00860598550591618, 'macd_lag_4': -0.015130252213813478, 'macd_lag_5': -0.018146632637381366, 'macd_12_26_9': 0.014954060093981703, 'macds_12_26_9': -0.0049512105896017304}, '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': 7.739999771118164, '2018-01-04': 7.75, '2018-01-05': 7.739999771118164, '2018-01-08': 7.769999980926514, '2018-01-09': 7.78000020980835, '2018-01-10': 7.78000020980835, '2018-01-11': 7.809999942779541, '2018-01-12': 7.849999904632568, '2018-01-16': 7.840000152587891}, '1_month_later': {'2018-02-02': 7.639999866485596}, '3_months_later': {'2018-04-02': 7.170000076293945}, '6_months_later': {'2018-07-02': 7.550000190734863}, '12_months_later': {'2019-01-02': 6.300000190734863}}
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.
MCK
{'date': '2018-01-02', 'ticker': 'MCK', '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': 156.66000366210938, 'high': 159.0800018310547, 'open': 156.91000366210938, 'close': 159.0, 'ema_50': 151.74175173526945, 'rsi_14': 62.506029979292165, 'target': 156.75999450683594, 'volume': 809900.0, 'ema_200': 152.24854125039565, 'adj_close': 159.0, 'rsi_lag_1': 58.922893113479866, 'rsi_lag_2': 69.5740383945774, 'rsi_lag_3': 68.97939488044213, 'rsi_lag_4': 71.34681946077708, 'rsi_lag_5': 62.63581178580335, 'macd_lag_1': 3.0977993474211303, 'macd_lag_2': 3.472593344092388, 'macd_lag_3': 3.719220084583071, 'macd_lag_4': 3.9503795984597616, 'macd_lag_5': 4.098364185747755, 'macd_12_26_9': 3.0121598573212225, 'macds_12_26_9': 3.448007462104111}, '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': 156.75999450683594, '2018-01-04': 155.05999755859375, '2018-01-05': 157.16000366210938, '2018-01-08': 159.14999389648438, '2018-01-09': 160.63999938964844, '2018-01-10': 160.6699981689453, '2018-01-11': 162.3000030517578, '2018-01-12': 166.25, '2018-01-16': 170.66000366210938}, '1_month_later': {'2018-02-02': 159.2100067138672}, '3_months_later': {'2018-04-02': 139.80999755859375}, '6_months_later': {'2018-07-02': 134.8800048828125}, '12_months_later': {'2019-01-02': 113.06999969482422}}
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.
MCHX
{'date': '2018-01-02', 'ticker': 'MCHX', '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': 3.220000028610229, 'high': 3.2699999809265137, 'open': 3.259999990463257, 'close': 3.240000009536743, 'ema_50': 3.193287292855341, 'rsi_14': 56.09755388404136, 'target': 3.440000057220459, 'volume': 25400.0, 'ema_200': 3.059983343192298, 'adj_close': 2.7635293006896973, 'rsi_lag_1': 56.09755388404136, 'rsi_lag_2': 59.999989403619786, 'rsi_lag_3': 65.38461714806567, 'rsi_lag_4': 53.703720873759615, 'rsi_lag_5': 52.72726799831287, 'macd_lag_1': -0.009372642713660895, 'macd_lag_2': -0.014023304720861773, 'macd_lag_3': -0.018737084403309012, 'macd_lag_4': -0.02346286112314333, 'macd_lag_5': -0.02406248846610115, 'macd_12_26_9': -0.004824430873757279, 'macds_12_26_9': -0.014620664751167092}, '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': 3.440000057220459, '2018-01-04': 3.4200000762939453, '2018-01-05': 3.400000095367432, '2018-01-08': 3.4600000381469727, '2018-01-09': 3.380000114440918, '2018-01-10': 3.380000114440918, '2018-01-11': 3.369999885559082, '2018-01-12': 3.309999942779541, '2018-01-16': 3.4800000190734863}, '1_month_later': {'2018-02-02': 3.450000047683716}, '3_months_later': {'2018-04-02': 2.5999999046325684}, '6_months_later': {'2018-07-02': 3.0999999046325684}, '12_months_later': {'2019-01-02': 2.819999933242798}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCHP
{'date': '2018-01-02', 'ticker': 'MCHP', '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': 88.26000213623047, 'high': 90.54000091552734, 'open': 88.58000183105469, 'close': 90.41000366210938, 'ema_50': 89.01434534061673, 'rsi_14': 61.54434375627033, 'target': 91.7699966430664, 'volume': 1633100.0, 'ema_200': 83.37557609973155, 'adj_close': 86.72378540039062, 'rsi_lag_1': 52.2232399545846, 'rsi_lag_2': 56.186608809228304, 'rsi_lag_3': 59.739050984602585, 'rsi_lag_4': 61.415062697662094, 'rsi_lag_5': 62.59610080167142, 'macd_lag_1': -0.23728703237455306, 'macd_lag_2': -0.20783544342427263, 'macd_lag_3': -0.24154905978392094, 'macd_lag_4': -0.25968472792162345, 'macd_lag_5': -0.30247294965157323, 'macd_12_26_9': -0.055833640318894595, 'macds_12_26_9': -0.3737964650021417}, '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': 91.7699966430664, '2018-01-04': 91.98999786376952, '2018-01-05': 92.26000213623048, '2018-01-08': 92.62000274658205, '2018-01-09': 92.51000213623048, '2018-01-10': 90.9499969482422, '2018-01-11': 92.11000061035156, '2018-01-12': 93.44000244140624, '2018-01-16': 93.33000183105467}, '1_month_later': {'2018-02-02': 93.30999755859376}, '3_months_later': {'2018-04-02': 87.62999725341797}, '6_months_later': {'2018-07-02': 91.47000122070312}, '12_months_later': {'2019-01-02': 71.3499984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCHI
{'date': '2018-01-02', 'ticker': 'MCHI', '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/tuesdays-etf-movers-mchi-kie-2018-01-02', 'news_author': None, 'news_article': "In trading on Tuesday, the iShares MSCI China ETF ( MCHI ) is outperforming other ETFs, up about 3.6% on the day. Components of that ETF showing particular strength include shares of Autohome ( ATHM ), up about 10.7% and shares of Weibo ( WB ), up about 9.4% on the day.\nAnd underperforming other ETFs today is the SPDR S&P Insurance ETF ( KIE ), off about 1.5% in Tuesday afternoon trading. Among components of that ETF with the weakest showing on Tuesday were shares of XL Group ( XL ), lower by about 3.5%, and shares of Cincinnati Financial (CINF), lower by about 3.2% on the day.\nVIDEO: Tuesday's ETF Movers: MCHI, KIE\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': "VIDEO: Tuesday's ETF Movers: MCHI, KIE The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. In trading on Tuesday, the iShares MSCI China ETF ( MCHI ) is outperforming other ETFs, up about 3.6% on the day. Components of that ETF showing particular strength include shares of Autohome ( ATHM ), up about 10.7% and shares of Weibo ( WB ), up about 9.4% on the day.", 'news_luhn_summary': "VIDEO: Tuesday's ETF Movers: MCHI, KIE The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. In trading on Tuesday, the iShares MSCI China ETF ( MCHI ) is outperforming other ETFs, up about 3.6% on the day. Among components of that ETF with the weakest showing on Tuesday were shares of XL Group ( XL ), lower by about 3.5%, and shares of Cincinnati Financial (CINF), lower by about 3.2% on the day.", 'news_article_title': "Tuesday's ETF Movers: MCHI, KIE", 'news_lexrank_summary': "In trading on Tuesday, the iShares MSCI China ETF ( MCHI ) is outperforming other ETFs, up about 3.6% on the day. VIDEO: Tuesday's ETF Movers: MCHI, KIE The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. Components of that ETF showing particular strength include shares of Autohome ( ATHM ), up about 10.7% and shares of Weibo ( WB ), up about 9.4% on the day.", 'news_textrank_summary': "In trading on Tuesday, the iShares MSCI China ETF ( MCHI ) is outperforming other ETFs, up about 3.6% on the day. VIDEO: Tuesday's ETF Movers: MCHI, KIE The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. Among components of that ETF with the weakest showing on Tuesday were shares of XL Group ( XL ), lower by about 3.5%, and shares of Cincinnati Financial (CINF), lower by about 3.2% on the day."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 68.12000274658203, 'high': 69.18000030517578, 'open': 68.36000061035156, 'close': 69.12999725341797, 'ema_50': 65.92579133804331, 'rsi_14': 63.94891149895973, 'target': 69.68000030517578, 'volume': 2333300.0, 'ema_200': 60.183361186063706, 'adj_close': 69.12999725341797, 'rsi_lag_1': 56.152923417970726, 'rsi_lag_2': 61.16402799867587, 'rsi_lag_3': 61.810605104314774, 'rsi_lag_4': 58.292465982141614, 'rsi_lag_5': 58.579878095117756, 'macd_lag_1': 0.009717384034829024, 'macd_lag_2': -0.027716105341340835, 'macd_lag_3': -0.060837223303238375, 'macd_lag_4': -0.07880838518420319, 'macd_lag_5': -0.12809116303287738, 'macd_12_26_9': 0.24554427150846436, 'macds_12_26_9': -0.02770927944025728}, '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': 69.68000030517578, '2018-01-04': 70.11000061035156, '2018-01-05': 70.61000061035156, '2018-01-08': 70.95999908447266, '2018-01-09': 71.0, '2018-01-10': 70.72000122070312, '2018-01-11': 70.9000015258789, '2018-01-12': 71.98999786376953, '2018-01-16': 71.3499984741211}, '1_month_later': {'2018-02-02': 71.70999908447266}, '3_months_later': {'2018-04-02': 66.91000366210939}, '6_months_later': {'2018-07-02': 63.68000030517578}, '12_months_later': {'2019-01-02': 52.33000183105469}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCFT
{'date': '2018-01-02', 'ticker': 'MCFT', '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': 21.14999961853028, 'high': 22.540000915527344, 'open': 22.3799991607666, 'close': 21.190000534057617, 'ema_50': 22.313827523784212, 'rsi_14': 28.048807908509502, 'target': 21.440000534057617, 'volume': 345600.0, 'ema_200': 19.67464444681828, 'adj_close': 21.190000534057617, 'rsi_lag_1': 36.61616696786031, 'rsi_lag_2': 39.617499011150784, 'rsi_lag_3': 45.81153034975316, 'rsi_lag_4': 46.75325190040982, 'rsi_lag_5': 48.23230900166315, 'macd_lag_1': 0.006580465103805722, 'macd_lag_2': 0.058417997674514055, 'macd_lag_3': 0.08504080507230682, 'macd_lag_4': 0.1035297478584205, 'macd_lag_5': 0.12358606461882005, 'macd_12_26_9': -0.11627312218301356, 'macds_12_26_9': 0.052676204400081056}, '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': 21.440000534057617, '2018-01-04': 21.280000686645508, '2018-01-05': 21.420000076293945, '2018-01-08': 21.6200008392334, '2018-01-09': 21.14999961853028, '2018-01-10': 21.040000915527344, '2018-01-11': 21.559999465942383, '2018-01-12': 21.84000015258789, '2018-01-16': 21.239999771118164}, '1_month_later': {'2018-02-02': 22.93000030517578}, '3_months_later': {'2018-04-02': 24.3799991607666}, '6_months_later': {'2018-07-02': 29.670000076293945}, '12_months_later': {'2019-01-02': 19.229999542236328}}
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.
MCF
{'date': '2018-01-02', 'ticker': 'MCF', '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': 4.53000020980835, 'high': 5.239999771118164, 'open': 4.630000114440918, 'close': 5.239999771118164, 'ema_50': 3.8928897941964293, 'rsi_14': 76.92307692307693, 'target': 5.150000095367432, 'volume': 900500.0, 'ema_200': 5.321956939749737, 'adj_close': 5.239999771118164, 'rsi_lag_1': 73.68421346160162, 'rsi_lag_2': 80.64516067008695, 'rsi_lag_3': 79.54545362182886, 'rsi_lag_4': 93.33333174387616, 'rsi_lag_5': 77.93103159111841, 'macd_lag_1': 0.41937863076710213, 'macd_lag_2': 0.4103857299898497, 'macd_lag_3': 0.37461101622164383, 'macd_lag_4': 0.34895513041245474, 'macd_lag_5': 0.25207864203265506, 'macd_12_26_9': 0.4639242880715737, 'macds_12_26_9': 0.28710772900535986}, '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': 5.150000095367432, '2018-01-04': 5.420000076293945, '2018-01-05': 5.440000057220459, '2018-01-08': 5.489999771118164, '2018-01-09': 5.320000171661377, '2018-01-10': 5.329999923706055, '2018-01-11': 5.349999904632568, '2018-01-12': 5.579999923706055, '2018-01-16': 5.550000190734863}, '1_month_later': {'2018-02-02': 3.910000085830689}, '3_months_later': {'2018-04-02': 3.4600000381469727}, '6_months_later': {'2018-07-02': 5.639999866485596}, '12_months_later': {'2019-01-02': 3.670000076293945}}
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.
MCEP
{'date': '2018-01-02', 'ticker': 'MCEP', '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': 1.1200000047683716, 'high': 1.2100000381469729, 'open': 1.1799999475479126, 'close': 1.159999966621399, 'ema_50': 1.1074936695594764, 'rsi_14': 50.0, 'target': 1.2100000381469729, 'volume': 53500.0, 'ema_200': 1.4389335539520427, 'adj_close': 1.159999966621399, 'rsi_lag_1': 51.111109933735534, 'rsi_lag_2': 64.28571631308336, 'rsi_lag_3': 58.33332781438314, 'rsi_lag_4': 48.837209947048876, 'rsi_lag_5': 30.555535319404825, 'macd_lag_1': 0.023214930081384644, 'macd_lag_2': 0.020723786494959873, 'macd_lag_3': 0.010115466445965726, 'macd_lag_4': 0.008646440738815153, 'macd_lag_5': 0.004609301640242425, 'macd_12_26_9': 0.023306683072834344, 'macds_12_26_9': 0.015158705954544606}, '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': 1.2100000381469729, '2018-01-04': 1.6399999856948853, '2018-01-05': 1.6299999952316284, '2018-01-08': 1.7599999904632568, '2018-01-09': 1.9600000381469729, '2018-01-10': 1.830000042915344, '2018-01-11': 1.8799999952316284, '2018-01-12': 1.8799999952316284, '2018-01-16': 1.919999957084656}, '1_month_later': {'2018-02-02': 1.7699999809265137}, '3_months_later': {'2018-04-02': 1.4199999570846558}, '6_months_later': {'2018-07-02': 1.600000023841858}, '12_months_later': {'2019-01-02': 0.9399999976158142}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MCO
{'date': '2018-01-02', 'ticker': 'MCO', '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': 145.66000366210938, 'high': 148.33999633789062, 'open': 147.9600067138672, 'close': 146.1300048828125, 'ema_50': 146.830946859799, 'rsi_14': 25.276579537633978, 'target': 148.86000061035156, 'volume': 571600.0, 'ema_200': 133.0395302448921, 'adj_close': 142.5048828125, 'rsi_lag_1': 28.62264841080065, 'rsi_lag_2': 33.19014887422641, 'rsi_lag_3': 24.31707544167574, 'rsi_lag_4': 20.173020067924, 'rsi_lag_5': 25.260008977586182, 'macd_lag_1': -0.2254269557399482, 'macd_lag_2': -0.1727964913118285, 'macd_lag_3': -0.12448997861636713, 'macd_lag_4': 0.060141345856152384, 'macd_lag_5': 0.3723060838340473, 'macd_12_26_9': -0.3821550191754852, 'macds_12_26_9': 0.23532624834880866}, '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': 148.86000061035156, '2018-01-04': 151.60000610351562, '2018-01-05': 154.1199951171875, '2018-01-08': 155.07000732421875, '2018-01-09': 156.1199951171875, '2018-01-10': 154.80999755859375, '2018-01-11': 155.72000122070312, '2018-01-12': 157.25, '2018-01-16': 155.52999877929688}, '1_month_later': {'2018-02-02': 158.61000061035156}, '3_months_later': {'2018-04-02': 158.66000366210938}, '6_months_later': {'2018-07-02': 170.97000122070312}, '12_months_later': {'2019-01-02': 140.85000610351562}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAS
{'date': '2018-01-02', 'ticker': 'MAS', '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/4134868-2017-portfolio-performance-review-tale-2-halves?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '2017 Portfolio Performance Review - A Tale Of 2 Halves', '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': 43.59999847412109, 'high': 44.27999877929688, 'open': 44.04999923706055, 'close': 43.810001373291016, 'ema_50': 41.53885271028552, 'rsi_14': 66.35299355270699, 'target': 44.0, 'volume': 1588100.0, 'ema_200': 38.36600196922455, 'adj_close': 42.48991012573242, 'rsi_lag_1': 63.800869439886895, 'rsi_lag_2': 69.46233295323094, 'rsi_lag_3': 68.92777039045937, 'rsi_lag_4': 59.885936246716504, 'rsi_lag_5': 54.9165331995241, 'macd_lag_1': 0.896264860503841, 'macd_lag_2': 0.9181293986354078, 'macd_lag_3': 0.9143545867980194, 'macd_lag_4': 0.9206729972832264, 'macd_lag_5': 0.9010914961232928, 'macd_12_26_9': 0.8585505285269193, 'macds_12_26_9': 0.8694247379717784}, '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': 44.0, '2018-01-04': 44.04999923706055, '2018-01-05': 44.459999084472656, '2018-01-08': 44.66999816894531, '2018-01-09': 45.43000030517578, '2018-01-10': 44.709999084472656, '2018-01-11': 45.72999954223633, '2018-01-12': 45.7599983215332, '2018-01-16': 45.2400016784668}, '1_month_later': {'2018-02-02': 42.900001525878906}, '3_months_later': {'2018-04-02': 39.0}, '6_months_later': {'2018-07-02': 37.290000915527344}, '12_months_later': {'2019-01-02': 29.549999237060547}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MARPS
{'date': '2018-01-02', 'ticker': 'MARPS', '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': 3.400000095367432, 'high': 3.400000095367432, 'open': 3.400000095367432, 'close': 3.400000095367432, 'ema_50': 3.6740134076458095, 'rsi_14': 34.21053897420252, 'target': 3.400000095367432, 'volume': 0.0, 'ema_200': 3.8665421392187693, 'adj_close': 2.6487977504730225, 'rsi_lag_1': 31.19266335986778, 'rsi_lag_2': 28.571434295762785, 'rsi_lag_3': 39.28570820360807, 'rsi_lag_4': 39.28570820360807, 'rsi_lag_5': 39.28570820360807, 'macd_lag_1': -0.134869700765738, 'macd_lag_2': -0.13631210981655562, 'macd_lag_3': -0.13617042668044865, 'macd_lag_4': -0.13400892672591969, 'macd_lag_5': -0.1293008460315801, 'macd_12_26_9': -0.12821401235373342, 'macds_12_26_9': -0.12217651764296228}, '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': 3.400000095367432, '2018-01-04': 3.400000095367432, '2018-01-05': 3.75, '2018-01-08': 3.75, '2018-01-09': 3.75, '2018-01-10': 3.75, '2018-01-11': 3.75, '2018-01-12': 3.75, '2018-01-16': 3.75}, '1_month_later': {'2018-02-02': 4.329999923706055}, '3_months_later': {'2018-04-02': 3.759999990463257}, '6_months_later': {'2018-07-02': 4.699999809265137}, '12_months_later': {'2019-01-02': 1.840000033378601}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LW
{'date': '2018-01-02', 'ticker': 'LW', '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': 55.16999816894531, 'high': 56.77000045776367, 'open': 56.4900016784668, 'close': 55.369998931884766, 'ema_50': 53.626562422581586, 'rsi_14': 38.437960042061015, 'target': 56.060001373291016, 'volume': 938900.0, 'ema_200': 47.322423714243435, 'adj_close': 53.78533554077149, 'rsi_lag_1': 52.039152626541586, 'rsi_lag_2': 56.508885256022104, 'rsi_lag_3': 57.32945551667033, 'rsi_lag_4': 55.52193567413119, 'rsi_lag_5': 56.72333292651072, 'macd_lag_1': 0.6693008052127567, 'macd_lag_2': 0.6458267627337122, 'macd_lag_3': 0.6665442475023795, 'macd_lag_4': 0.7240195307329316, 'macd_lag_5': 0.8153566656831259, 'macd_12_26_9': 0.593910797210917, 'macds_12_26_9': 0.7473584122248005}, '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': 56.060001373291016, '2018-01-04': 57.220001220703125, '2018-01-05': 57.70000076293945, '2018-01-08': 58.560001373291016, '2018-01-09': 58.040000915527344, '2018-01-10': 57.869998931884766, '2018-01-11': 58.0, '2018-01-12': 58.27999877929688, '2018-01-16': 58.52000045776367}, '1_month_later': {'2018-02-02': 56.790000915527344}, '3_months_later': {'2018-04-02': 58.06999969482422}, '6_months_later': {'2018-07-02': 67.98999786376953}, '12_months_later': {'2019-01-02': 73.66000366210938}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
lvhd
{'date': '2018-01-02', 'ticker': 'lvhd', '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': 31.350000381469727, 'high': 31.63999938964844, 'open': 31.63999938964844, 'close': 31.420000076293945, 'ema_50': 31.27761922598713, 'rsi_14': 37.57957450117114, 'target': 31.3799991607666, 'volume': 45400.0, 'ema_200': 30.362364017601436, 'adj_close': 25.618040084838867, 'rsi_lag_1': 41.961285298567375, 'rsi_lag_2': 46.83541553241241, 'rsi_lag_3': 44.736822291991096, 'rsi_lag_4': 44.00003051769454, 'rsi_lag_5': 45.83329470060519, 'macd_lag_1': 0.10401181912413904, 'macd_lag_2': 0.12177097717225749, 'macd_lag_3': 0.13961248533911785, 'macd_lag_4': 0.1674812521765361, 'macd_lag_5': 0.20468846810464925, 'macd_12_26_9': 0.0801376515185197, 'macds_12_26_9': 0.15615239404484568}, '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': 31.3799991607666, '2018-01-04': 31.36199951171875, '2018-01-05': 31.459999084472656, '2018-01-08': 31.540000915527344, '2018-01-09': 31.437000274658203, '2018-01-10': 31.229999542236328, '2018-01-11': 31.36000061035156, '2018-01-12': 31.3700008392334, '2018-01-16': 31.32299995422364}, '1_month_later': {'2018-02-02': 30.799999237060547}, '3_months_later': {'2018-04-02': 28.989999771118164}, '6_months_later': {'2018-07-02': 29.790000915527344}, '12_months_later': {'2019-01-02': 28.40999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LVHB
{'date': '2018-01-02', 'ticker': 'LVHB', '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': 32.11800003051758, 'high': 32.34000015258789, 'open': 32.22999954223633, 'close': 32.189998626708984, 'ema_50': 32.24027803405125, 'rsi_14': 29.088212127658352, 'target': 32.38999938964844, 'volume': 289700.0, 'ema_200': 30.991405472214822, 'adj_close': 32.189998626708984, 'rsi_lag_1': 34.23812832366853, 'rsi_lag_2': 41.12783334282262, 'rsi_lag_3': 35.45453914925197, 'rsi_lag_4': 39.83040710699611, 'rsi_lag_5': 30.83857425721635, 'macd_lag_1': 0.02121079471353937, 'macd_lag_2': 0.030751922531393916, 'macd_lag_3': 0.03830798769514843, 'macd_lag_4': 0.059715291132015125, 'macd_lag_5': 0.08820661898361948, 'macd_12_26_9': -0.0016630562498249901, 'macds_12_26_9': 0.06884277064633593}, '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': 32.38999938964844, '2018-01-04': 32.595001220703125, '2018-01-05': 32.69499969482422, '2018-01-08': 32.77000045776367, '2018-01-09': 32.86000061035156, '2018-01-10': 32.915000915527344, '2018-01-11': 33.439998626708984, '2018-01-12': 33.79999923706055, '2018-01-16': 33.5099983215332}, '1_month_later': {'2018-02-02': 32.779998779296875}, '3_months_later': {'2018-04-02': 30.850000381469727}, '6_months_later': {'2018-07-02': 30.229999542236328}, '12_months_later': {'2019-01-02': 29.24300003051757}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LUV
{'date': '2018-01-02', 'ticker': 'LUV', '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/3320776-southwest-airlines-giving-bonuses-charity-due-tax-reform?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Southwest Airlines giving bonuses, charity due to tax reform', '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': 65.51000213623047, 'high': 66.37000274658203, 'open': 65.91000366210938, 'close': 66.29000091552734, 'ema_50': 60.80726428622372, 'rsi_14': 80.61853075350008, 'target': 64.91000366210938, 'volume': 3791500.0, 'ema_200': 56.66859729216895, 'adj_close': 66.29000091552734, 'rsi_lag_1': 76.36807044846368, 'rsi_lag_2': 86.44504347876989, 'rsi_lag_3': 92.30765639744843, 'rsi_lag_4': 83.80952438619734, 'rsi_lag_5': 79.84851024477638, 'macd_lag_1': 2.1476261776054244, 'macd_lag_2': 2.2762643266413036, 'macd_lag_3': 2.3645798562831857, 'macd_lag_4': 2.4337454345312963, 'macd_lag_5': 2.484589131251475, 'macd_12_26_9': 2.0893757940974282, 'macds_12_26_9': 2.237137134041773}, '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': 64.91000366210938, '2018-01-04': 64.69999694824219, '2018-01-05': 64.31999969482422, '2018-01-08': 64.0, '2018-01-09': 62.380001068115234, '2018-01-10': 62.959999084472656, '2018-01-11': 64.83999633789062, '2018-01-12': 65.36000061035156, '2018-01-16': 65.47000122070312}, '1_month_later': {'2018-02-02': 58.709999084472656}, '3_months_later': {'2018-04-02': 54.34000015258789}, '6_months_later': {'2018-07-02': 51.540000915527344}, '12_months_later': {'2019-01-02': 47.13999938964844}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LULU
{'date': '2018-01-02', 'ticker': 'LULU', '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': 77.30999755859375, 'high': 80.2699966430664, 'open': 77.30999755859375, 'close': 79.69000244140625, 'ema_50': 70.30850584488392, 'rsi_14': 85.2975372299891, 'target': 78.58999633789062, 'volume': 2474400.0, 'ema_200': 63.49029806236157, 'adj_close': 79.69000244140625, 'rsi_lag_1': 81.71053067468958, 'rsi_lag_2': 95.56360170115603, 'rsi_lag_3': 97.00650844913237, 'rsi_lag_4': 98.15367329816145, 'rsi_lag_5': 91.76562343471343, 'macd_lag_1': 3.39006431537031, 'macd_lag_2': 3.505803967428747, 'macd_lag_3': 3.4986813578792493, 'macd_lag_4': 3.4723005938288622, 'macd_lag_5': 3.3759044939695855, 'macd_12_26_9': 3.3485016638628764, 'macds_12_26_9': 3.27043011012557}, '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': 78.58999633789062, '2018-01-04': 79.8499984741211, '2018-01-05': 79.43000030517578, '2018-01-08': 79.04000091552734, '2018-01-09': 79.51000213623047, '2018-01-10': 78.86000061035156, '2018-01-11': 78.98999786376953, '2018-01-12': 78.83999633789062, '2018-01-16': 76.69999694824219}, '1_month_later': {'2018-02-02': 78.62000274658203}, '3_months_later': {'2018-04-02': 87.2699966430664}, '6_months_later': {'2018-07-02': 125.4800033569336}, '12_months_later': {'2019-01-02': 123.3499984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LWAY
{'date': '2018-01-02', 'ticker': 'LWAY', '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': 7.949999809265137, 'high': 8.460000038146973, 'open': 7.96999979019165, 'close': 8.399999618530273, 'ema_50': 9.06954599487705, 'rsi_14': 40.104159164342505, 'target': 8.130000114440918, 'volume': 35600.0, 'ema_200': 9.728703888667674, 'adj_close': 8.399999618530273, 'rsi_lag_1': 16.89497518051229, 'rsi_lag_2': 16.444439358181427, 'rsi_lag_3': 16.591926525152203, 'rsi_lag_4': 9.48615796240864, 'rsi_lag_5': 3.999996948241602, 'macd_lag_1': -0.48334455914684327, 'macd_lag_2': -0.4964240845622907, 'macd_lag_3': -0.5140430480035381, 'macd_lag_4': -0.53414519097241, 'macd_lag_5': -0.5387970753863698, 'macd_12_26_9': -0.4356800661420479, 'macds_12_26_9': -0.4490226933897097}, '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': 8.130000114440918, '2018-01-04': 8.15999984741211, '2018-01-05': 8.239999771118164, '2018-01-08': 8.1899995803833, '2018-01-09': 8.069999694824219, '2018-01-10': 8.0600004196167, '2018-01-11': 8.09000015258789, '2018-01-12': 7.989999771118164, '2018-01-16': 8.069999694824219}, '1_month_later': {'2018-02-02': 7.710000038146973}, '3_months_later': {'2018-04-02': 5.940000057220459}, '6_months_later': {'2018-07-02': 4.420000076293945}, '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.
LTRX
{'date': '2018-01-02', 'ticker': 'LTRX', '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': 1.9800000190734863, 'high': 2.0199999809265137, 'open': 2.009999990463257, 'close': 1.9800000190734863, 'ema_50': 2.0040359439991047, 'rsi_14': 48.93617075241894, 'target': 2.009999990463257, 'volume': 31400.0, 'ema_200': 2.11644788788513, 'adj_close': 1.9800000190734863, 'rsi_lag_1': 61.53846506536453, 'rsi_lag_2': 52.459014471228535, 'rsi_lag_3': 54.0983574520476, 'rsi_lag_4': 58.92856382593738, 'rsi_lag_5': 45.238100644411276, 'macd_lag_1': 0.007788216113352897, 'macd_lag_2': 0.005786425567566589, 'macd_lag_3': 0.002129065870066782, 'macd_lag_4': -0.0035882041309291957, 'macd_lag_5': -0.016942412682394714, 'macd_12_26_9': 0.0060769357821650605, 'macds_12_26_9': -0.0023396625236108016}, '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': 2.009999990463257, '2018-01-04': 1.9800000190734863, '2018-01-05': 2.0199999809265137, '2018-01-08': 2.039999961853028, '2018-01-09': 2.0999999046325684, '2018-01-10': 2.140000104904175, '2018-01-11': 2.259999990463257, '2018-01-12': 2.259999990463257, '2018-01-16': 2.1600000858306885}, '1_month_later': {'2018-02-02': 2.190000057220459}, '3_months_later': {'2018-04-02': 2.009999990463257}, '6_months_later': {'2018-07-02': 2.759999990463257}, '12_months_later': {'2019-01-02': 2.940000057220459}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
ltpz
{'date': '2018-01-02', 'ticker': 'ltpz', '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': 68.30999755859375, 'high': 69.13999938964844, 'open': 69.13999938964844, 'close': 68.69000244140625, 'ema_50': 67.89384223794785, 'rsi_14': 54.98343586117046, 'target': 68.95999908447266, 'volume': 20900.0, 'ema_200': 66.99269349683068, 'adj_close': 55.90763473510742, 'rsi_lag_1': 58.377456844178866, 'rsi_lag_2': 55.28755985669779, 'rsi_lag_3': 51.29088977570125, 'rsi_lag_4': 42.244878575888315, 'rsi_lag_5': 44.18150408706225, 'macd_lag_1': 0.2474785979203773, 'macd_lag_2': 0.1902849970952616, 'macd_lag_3': 0.14811756942812337, 'macd_lag_4': 0.0738148569415813, 'macd_lag_5': 0.09194054928249784, 'macd_12_26_9': 0.2463911341040017, 'macds_12_26_9': 0.21022784418141555}, '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': 68.95999908447266, '2018-01-04': 69.0199966430664, '2018-01-05': 68.9800033569336, '2018-01-08': 68.72000122070312, '2018-01-09': 67.87000274658203, '2018-01-10': 67.80999755859375, '2018-01-11': 67.73999786376953, '2018-01-12': 68.01000213623047, '2018-01-16': 68.55000305175781}, '1_month_later': {'2018-02-02': 66.80000305175781}, '3_months_later': {'2018-04-02': 66.94999694824219}, '6_months_later': {'2018-07-02': 67.6500015258789}, '12_months_later': {'2019-01-02': 62.65999984741211}}
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.
LTM
{'date': '2018-01-02', 'ticker': 'LTM', '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': 14.0, 'high': 14.43000030517578, 'open': 14.0, 'close': 14.43000030517578, 'ema_50': 13.310487211469475, 'rsi_14': 86.64493201579313, 'target': 14.270000457763672, 'volume': 306000.0, 'ema_200': 12.339891100051329, 'adj_close': 13.708280563354492, 'rsi_lag_1': 84.46967425535776, 'rsi_lag_2': 83.20896425287468, 'rsi_lag_3': 78.81038902104828, 'rsi_lag_4': 79.47760716024293, 'rsi_lag_5': 70.7746521439538, 'macd_lag_1': 0.22405296064787983, 'macd_lag_2': 0.20822221573659228, 'macd_lag_3': 0.1819331264533801, 'macd_lag_4': 0.15693245098291797, 'macd_lag_5': 0.12070343385038207, 'macd_12_26_9': 0.2761819128817482, 'macds_12_26_9': 0.1321348286040124}, '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': 14.270000457763672, '2018-01-04': 14.460000038146973, '2018-01-05': 14.68000030517578, '2018-01-08': 14.850000381469728, '2018-01-09': 15.010000228881836, '2018-01-10': 15.09000015258789, '2018-01-11': 15.539999961853027, '2018-01-12': 16.110000610351562, '2018-01-16': 15.760000228881836}, '1_month_later': {'2018-02-02': 16.479999542236328}, '3_months_later': {'2018-04-02': 15.260000228881836}, '6_months_later': {'2018-07-02': 9.720000267028809}, '12_months_later': {'2019-01-02': 10.479999542236328}}
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.
ltl
{'date': '2018-01-02', 'ticker': 'ltl', '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': 42.93999862670898, 'high': 42.9900016784668, 'open': 42.970001220703125, 'close': 42.93999862670898, 'ema_50': 43.315177750185384, 'rsi_14': 62.15826216682459, 'target': 42.93999862670898, 'volume': 3000.0, 'ema_200': 47.60656160649313, 'adj_close': 39.18975067138672, 'rsi_lag_1': 64.47760004327112, 'rsi_lag_2': 72.61234472652849, 'rsi_lag_3': 63.91752780034971, 'rsi_lag_4': 51.937167337401014, 'rsi_lag_5': 45.00907981304516, 'macd_lag_1': 0.2762000443033088, 'macd_lag_2': 0.29343064946278474, 'macd_lag_3': 0.26737323589259887, 'macd_lag_4': 0.25160716046907794, 'macd_lag_5': 0.22375135410436542, 'macd_12_26_9': 0.23960968363074642, 'macds_12_26_9': 0.19561170602829284}, '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': 42.93999862670898, '2018-01-04': 42.790000915527344, '2018-01-05': 42.59999847412109, '2018-01-08': 42.7400016784668, '2018-01-09': 42.5099983215332, '2018-01-10': 42.5099983215332, '2018-01-11': 42.22999954223633, '2018-01-12': 43.2599983215332, '2018-01-16': 42.11000061035156}, '1_month_later': {'2018-02-02': 43.0}, '3_months_later': {'2018-04-02': 35.66999816894531}, '6_months_later': {'2018-07-02': 36.900001525878906}, '12_months_later': {'2019-01-02': 32.380001068115234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LTC
{'date': '2018-01-02', 'ticker': 'LTC', '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/4134909-green-dot-portfolio-december-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': 'Green Dot Portfolio: December 2017 Update', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320624-ltc-properties-declares-0_19-dividend?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'LTC Properties declares $0.19 dividend', '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': 43.5, 'high': 44.06999969482422, 'open': 43.65999984741211, 'close': 43.72999954223633, 'ema_50': 45.76178431283711, 'rsi_14': 36.58147179014053, 'target': 43.58000183105469, 'volume': 198700.0, 'ema_200': 47.373660634469374, 'adj_close': 43.72999954223633, 'rsi_lag_1': 35.55192663891103, 'rsi_lag_2': 37.936762330330026, 'rsi_lag_3': 35.800325135779644, 'rsi_lag_4': 34.166675673596544, 'rsi_lag_5': 30.16128794087463, 'macd_lag_1': -0.7818772619034817, 'macd_lag_2': -0.7671863087229696, 'macd_lag_3': -0.761712771253201, 'macd_lag_4': -0.7120833123839319, 'macd_lag_5': -0.6353260791731543, 'macd_12_26_9': -0.7701179870661861, 'macds_12_26_9': -0.6444841502922155}, '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': 43.58000183105469, '2018-01-04': 42.7400016784668, '2018-01-05': 42.59000015258789, '2018-01-08': 42.7599983215332, '2018-01-09': 42.08000183105469, '2018-01-10': 41.20000076293945, '2018-01-11': 41.040000915527344, '2018-01-12': 40.38999938964844, '2018-01-16': 40.52999877929688}, '1_month_later': {'2018-02-02': 39.81999969482422}, '3_months_later': {'2018-04-02': 37.06999969482422}, '6_months_later': {'2018-07-02': 42.88999938964844}, '12_months_later': {'2019-01-02': 40.2599983215332}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LTBR
{'date': '2018-01-02', 'ticker': 'LTBR', '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': 13.800000190734863, 'high': 16.079999923706055, 'open': 14.520000457763672, 'close': 15.119999885559082, 'ema_50': 13.067335933899896, 'rsi_14': 63.0434788242405, 'target': 17.280000686645508, 'volume': 80700.0, 'ema_200': 15.123537666641647, 'adj_close': 15.119999885559082, 'rsi_lag_1': 62.63736359706387, 'rsi_lag_2': 67.85714488451175, 'rsi_lag_3': 86.36363745830384, 'rsi_lag_4': 72.72727491660768, 'rsi_lag_5': 57.14285173653909, 'macd_lag_1': 0.6456266013695249, 'macd_lag_2': 0.6095743965251152, 'macd_lag_3': 0.4569466781447389, 'macd_lag_4': 0.03556445417517651, 'macd_lag_5': -0.09958979077719654, 'macd_12_26_9': 0.7048056244730923, 'macds_12_26_9': 0.32371814817394656}, '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': 17.280000686645508, '2018-01-04': 15.720000267028809, '2018-01-05': 14.760000228881836, '2018-01-08': 15.119999885559082, '2018-01-09': 15.479999542236328, '2018-01-10': 15.600000381469728, '2018-01-11': 17.040000915527344, '2018-01-12': 18.239999771118164, '2018-01-16': 17.760000228881836}, '1_month_later': {'2018-02-02': 23.520000457763672}, '3_months_later': {'2018-04-02': 14.279999732971191}, '6_months_later': {'2018-07-02': 11.520000457763672}, '12_months_later': {'2019-01-02': 6.840000152587891}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
lsxmk
{'date': '2018-01-02', 'ticker': 'lsxmk', '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': 37.97443389892578, 'high': 38.839725494384766, 'open': 38.76106262207031, 'close': 38.092430114746094, 'ema_50': 40.349333935031865, 'rsi_14': 23.76237189121683, 'target': 37.99409866333008, 'volume': 588843.0, 'ema_200': 39.84647045017437, 'adj_close': 38.092430114746094, 'rsi_lag_1': 30.697687007726103, 'rsi_lag_2': 31.13207719808935, 'rsi_lag_3': 35.682822896727785, 'rsi_lag_4': 32.0580642387591, 'rsi_lag_5': 29.06333445729865, 'macd_lag_1': -0.5337005098439747, 'macd_lag_2': -0.5334747937904041, 'macd_lag_3': -0.541445685934562, 'macd_lag_4': -0.5307287879709008, 'macd_lag_5': -0.5353606001185582, 'macd_12_26_9': -0.5999588043022328, 'macds_12_26_9': -0.4549927169099158}, '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': 37.99409866333008, '2018-01-04': 38.97738265991211, '2018-01-05': 39.20354080200195, '2018-01-08': 39.01671600341797, '2018-01-09': 38.90855407714844, '2018-01-10': 40.039329528808594, '2018-01-11': 40.29498672485352, '2018-01-12': 40.27531814575195, '2018-01-16': 39.55752182006836}, '1_month_later': {'2018-02-02': 43.34316635131836}, '3_months_later': {'2018-04-02': 39.29203414916992}, '6_months_later': {'2018-07-02': 45.76204681396485}, '12_months_later': {'2019-01-02': 36.892822265625}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LSXMA
{'date': '2018-01-02', 'ticker': 'LSXMA', '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': 37.99409866333008, 'high': 38.76106262207031, 'open': 38.76106262207031, 'close': 38.249755859375, 'ema_50': 40.43560378616553, 'rsi_14': 22.03897928890845, 'target': 38.17109298706055, 'volume': 588500.0, 'ema_200': 39.99364622135959, 'adj_close': 38.249755859375, 'rsi_lag_1': 28.387096370494504, 'rsi_lag_2': 28.947360025217165, 'rsi_lag_3': 35.20487728203152, 'rsi_lag_4': 31.911971098173396, 'rsi_lag_5': 29.487203576698604, 'macd_lag_1': -0.5276204843513312, 'macd_lag_2': -0.5165418424838535, 'macd_lag_3': -0.5089041332814546, 'macd_lag_4': -0.49675955605390953, 'macd_lag_5': -0.5050689988201356, 'macd_12_26_9': -0.5899008695537091, 'macds_12_26_9': -0.43492045373153504}, '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': 38.17109298706055, '2018-01-04': 39.02655029296875, '2018-01-05': 39.272369384765625, '2018-01-08': 39.19370651245117, '2018-01-09': 39.09537887573242, '2018-01-10': 40.30481719970703, '2018-01-11': 40.41297912597656, '2018-01-12': 40.37364959716797, '2018-01-16': 39.70501327514648}, '1_month_later': {'2018-02-02': 43.65781784057617}, '3_months_later': {'2018-04-02': 39.48869323730469}, '6_months_later': {'2018-07-02': 45.290069580078125}, '12_months_later': {'2019-01-02': 36.79449462890625}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LSTR
{'date': '2018-01-02', 'ticker': 'LSTR', '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': 104.1999969482422, 'high': 106.0500030517578, 'open': 104.3499984741211, 'close': 104.5, 'ema_50': 101.30282787369941, 'rsi_14': 54.24836666490479, 'target': 104.3000030517578, 'volume': 202100.0, 'ema_200': 92.6095467328367, 'adj_close': 99.66781616210938, 'rsi_lag_1': 44.64285876474896, 'rsi_lag_2': 57.92683607618958, 'rsi_lag_3': 69.49152104028575, 'rsi_lag_4': 68.96550816957934, 'rsi_lag_5': 65.21738769877868, 'macd_lag_1': 1.3587555419276072, 'macd_lag_2': 1.5138048226588978, 'macd_lag_3': 1.5675028229214973, 'macd_lag_4': 1.536877320377826, 'macd_lag_5': 1.541615436924232, 'macd_12_26_9': 1.2537027452204654, 'macds_12_26_9': 1.4452044556392007}, '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': 104.3000030517578, '2018-01-04': 103.8499984741211, '2018-01-05': 104.6999969482422, '2018-01-08': 106.0500030517578, '2018-01-09': 106.0500030517578, '2018-01-10': 106.1999969482422, '2018-01-11': 107.9000015258789, '2018-01-12': 108.4499969482422, '2018-01-16': 108.1999969482422}, '1_month_later': {'2018-02-02': 113.5}, '3_months_later': {'2018-04-02': 106.8000030517578}, '6_months_later': {'2018-07-02': 111.4000015258789}, '12_months_later': {'2019-01-02': 96.69000244140624}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LSCC
{'date': '2018-01-02', 'ticker': 'LSCC', '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': 5.78000020980835, 'high': 5.929999828338623, 'open': 5.78000020980835, 'close': 5.900000095367432, 'ema_50': 5.8740991240992075, 'rsi_14': 65.78949514849404, 'target': 6.019999980926514, 'volume': 528600.0, 'ema_200': 6.150512714560347, 'adj_close': 5.900000095367432, 'rsi_lag_1': 58.46154749040641, 'rsi_lag_2': 66.66666666666666, 'rsi_lag_3': 66.66666666666666, 'rsi_lag_4': 59.67744292377916, 'rsi_lag_5': 45.94595117060261, 'macd_lag_1': -0.04874161972799662, 'macd_lag_2': -0.051142679743728436, 'macd_lag_3': -0.061608858690331836, 'macd_lag_4': -0.06490772815591583, 'macd_lag_5': -0.06715601620153677, 'macd_12_26_9': -0.03673234685365934, 'macds_12_26_9': -0.05386666798591582}, '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': 6.019999980926514, '2018-01-04': 5.980000019073486, '2018-01-05': 6.019999980926514, '2018-01-08': 6.099999904632568, '2018-01-09': 6.039999961853027, '2018-01-10': 6.0, '2018-01-11': 6.170000076293945, '2018-01-12': 6.190000057220459, '2018-01-16': 6.21999979019165}, '1_month_later': {'2018-02-02': 6.300000190734863}, '3_months_later': {'2018-04-02': 5.440000057220459}, '6_months_later': {'2018-07-02': 6.440000057220459}, '12_months_later': {'2019-01-02': 6.960000038146973}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LTRPA
{'date': '2018-01-02', 'ticker': 'LTRPA', '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': 9.300000190734863, 'high': 9.5, 'open': 9.449999809265137, 'close': 9.449999809265137, 'ema_50': 9.904187303610907, 'rsi_14': 43.33334392970797, 'target': 9.550000190734863, 'volume': 392500.0, 'ema_200': 12.266142013064075, 'adj_close': 9.449999809265137, 'rsi_lag_1': 53.424656102572456, 'rsi_lag_2': 52.77776158886358, 'rsi_lag_3': 54.05404290811835, 'rsi_lag_4': 54.05404290811839, 'rsi_lag_5': 48.7179437019097, 'macd_lag_1': -0.05836813731333379, 'macd_lag_2': -0.06104641693725554, 'macd_lag_3': -0.061031414968232056, 'macd_lag_4': -0.06012453732823886, 'macd_lag_5': -0.06318342147232414, 'macd_12_26_9': -0.053610334564957896, 'macds_12_26_9': -0.08069188534662507}, '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': 9.550000190734863, '2018-01-04': 9.399999618530272, '2018-01-05': 9.399999618530272, '2018-01-08': 9.350000381469728, '2018-01-09': 9.25, '2018-01-10': 9.300000190734863, '2018-01-11': 9.649999618530272, '2018-01-12': 10.100000381469728, '2018-01-16': 9.75}, '1_month_later': {'2018-02-02': 8.5}, '3_months_later': {'2018-04-02': 10.199999809265137}, '6_months_later': {'2018-07-02': 16.299999237060547}, '12_months_later': {'2019-01-02': 16.1200008392334}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LXRX
{'date': '2018-01-02', 'ticker': 'LXRX', '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': 9.90999984741211, 'high': 10.289999961853027, 'open': 9.979999542236328, 'close': 10.119999885559082, 'ema_50': 10.473666755120496, 'rsi_14': 53.023263034862396, 'target': 10.489999771118164, 'volume': 615700.0, 'ema_200': 12.734904768786127, 'adj_close': 10.119999885559082, 'rsi_lag_1': 37.81511359155765, 'rsi_lag_2': 61.603389449938724, 'rsi_lag_3': 60.515025499553815, 'rsi_lag_4': 52.032528835090304, 'rsi_lag_5': 49.8007921201372, 'macd_lag_1': 0.009806217044630472, 'macd_lag_2': 0.04122801716895452, 'macd_lag_3': 0.022697647423077782, 'macd_lag_4': 0.003806938223368306, 'macd_lag_5': -0.007123571523997896, 'macd_12_26_9': 0.004221526699733857, 'macds_12_26_9': -0.0014478873004248156}, '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': 10.489999771118164, '2018-01-04': 10.25, '2018-01-05': 10.1899995803833, '2018-01-08': 9.890000343322754, '2018-01-09': 9.800000190734863, '2018-01-10': 9.890000343322754, '2018-01-11': 10.289999961853027, '2018-01-12': 10.239999771118164, '2018-01-16': 9.81999969482422}, '1_month_later': {'2018-02-02': 9.770000457763672}, '3_months_later': {'2018-04-02': 8.34000015258789}, '6_months_later': {'2018-07-02': 12.739999771118164}, '12_months_later': {'2019-01-02': 6.909999847412109}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MARA
{'date': '2018-01-02', 'ticker': 'MARA', '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/management/18/01/10975590/marathon-patent-group-8-k-shows-merrick-okamoto-named-interim-ceo', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Marathon Patent Group 8-K Shows Merrick Okamoto Named Interim CEO', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320709-bitcoin-attracts-massive-investment-vc-firm?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bitcoin attracts massive investment from VC firm', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320575-bitcoin-losing-favor-underworld?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bitcoin losing favor with underworld', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320533-cryptoruble-making?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "A 'cryptoruble' is in the making", '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': 15.5600004196167, 'high': 17.280000686645508, 'open': 16.399999618530273, 'close': 17.280000686645508, 'ema_50': 15.057516986791176, 'rsi_14': 29.375002669791016, 'target': 16.760000228881836, 'volume': 504600.0, 'ema_200': 12.893611376977573, 'adj_close': 17.280000686645508, 'rsi_lag_1': 47.60432838378385, 'rsi_lag_2': 47.90046696664639, 'rsi_lag_3': 50.5747100337325, 'rsi_lag_4': 45.44025329343697, 'rsi_lag_5': 48.36309721266754, 'macd_lag_1': 1.2186257780356335, 'macd_lag_2': 1.598908719273112, 'macd_lag_3': 1.9755038946360237, 'macd_lag_4': 2.2604599239585035, 'macd_lag_5': 2.6686696679559105, 'macd_12_26_9': 0.9769953448583593, 'macds_12_26_9': 2.08971850060066}, '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': 16.760000228881836, '2018-01-04': 16.280000686645508, '2018-01-05': 15.720000267028809, '2018-01-08': 15.5600004196167, '2018-01-09': 15.279999732971191, '2018-01-10': 15.920000076293944, '2018-01-11': 15.359999656677246, '2018-01-12': 16.68000030517578, '2018-01-16': 14.359999656677246}, '1_month_later': {'2018-02-02': 11.039999961853027}, '3_months_later': {'2018-04-02': 4.559999942779541}, '6_months_later': {'2018-07-02': 3.759999990463257}, '12_months_later': {'2019-01-02': 1.5199999809265137}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAR
{'date': '2018-01-02', 'ticker': 'MAR', '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/trading-ideas/long-ideas/18/01/10973830/5-hot-stocks-to-start-2018', 'news_author': None, 'news_article': None, 'news_publisher': 'VantagePoint', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': '5 Hot Stocks To Start 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': 132.1999969482422, 'high': 135.97999572753906, 'open': 135.88999938964844, 'close': 133.75, 'ema_50': 126.0236448650846, 'rsi_14': 67.69125099276042, 'target': 136.4499969482422, 'volume': 2949200.0, 'ema_200': 109.36878569942316, 'adj_close': 129.75973510742188, 'rsi_lag_1': 73.90005200054162, 'rsi_lag_2': 81.0541942965327, 'rsi_lag_3': 81.35954242795904, 'rsi_lag_4': 74.97843287239785, 'rsi_lag_5': 78.1588886402368, 'macd_lag_1': 3.113005814198374, 'macd_lag_2': 3.121104567868059, 'macd_lag_3': 3.000515184448261, 'macd_lag_4': 2.8355379872118363, 'macd_lag_5': 2.884086228564371, 'macd_12_26_9': 2.9132364099617405, 'macds_12_26_9': 2.87929952635169}, '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': 136.4499969482422, '2018-01-04': 135.6999969482422, '2018-01-05': 134.39999389648438, '2018-01-08': 136.33999633789062, '2018-01-09': 137.7100067138672, '2018-01-10': 137.6999969482422, '2018-01-11': 139.42999267578125, '2018-01-12': 139.77999877929688, '2018-01-16': 139.1199951171875}, '1_month_later': {'2018-02-02': 141.1699981689453}, '3_months_later': {'2018-04-02': 132.07000732421875}, '6_months_later': {'2018-07-02': 126.48999786376952}, '12_months_later': {'2019-01-02': 107.45999908447266}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MANU
{'date': '2018-01-02', 'ticker': 'MANU', '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': 19.799999237060547, 'high': 20.049999237060547, 'open': 19.950000762939453, 'close': 19.950000762939453, 'ema_50': 19.638372050483962, 'rsi_14': 50.0, 'target': 20.0, 'volume': 40600.0, 'ema_200': 17.927654032021348, 'adj_close': 19.46176147460937, 'rsi_lag_1': 47.05882352941179, 'rsi_lag_2': 50.0, 'rsi_lag_3': 50.61729790469562, 'rsi_lag_4': 50.0, 'rsi_lag_5': 51.249979734440096, 'macd_lag_1': 0.12882281596811396, 'macd_lag_2': 0.18282861428320274, 'macd_lag_3': 0.2083728980172168, 'macd_lag_4': 0.23794581437564233, 'macd_lag_5': 0.2722305794094879, 'macd_12_26_9': 0.09700844823047561, 'macds_12_26_9': 0.1998061308522884}, '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': 20.0, '2018-01-04': 19.700000762939453, '2018-01-05': 19.600000381469727, '2018-01-08': 19.799999237060547, '2018-01-09': 19.799999237060547, '2018-01-10': 19.799999237060547, '2018-01-11': 19.89999961853028, '2018-01-12': 19.89999961853028, '2018-01-16': 19.549999237060547}, '1_month_later': {'2018-02-02': 20.100000381469727}, '3_months_later': {'2018-04-02': 19.450000762939453}, '6_months_later': {'2018-07-02': 20.600000381469727}, '12_months_later': {'2019-01-02': 18.700000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MANT
{'date': '2018-01-02', 'ticker': 'MANT', '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': 49.650001525878906, 'high': 50.97999954223633, 'open': 50.5099983215332, 'close': 50.09999847412109, 'ema_50': 49.04629043894425, 'rsi_14': 51.64832400899756, 'target': 50.4900016784668, 'volume': 118600.0, 'ema_200': 43.75732808477527, 'adj_close': 48.03817367553711, 'rsi_lag_1': 46.999974060098104, 'rsi_lag_2': 52.620542726170555, 'rsi_lag_3': 49.90061315728603, 'rsi_lag_4': 47.003750401828704, 'rsi_lag_5': 46.30998556468408, 'macd_lag_1': 0.3877214525757182, 'macd_lag_2': 0.46204074413727625, 'macd_lag_3': 0.5104691755550306, 'macd_lag_4': 0.5567112056183205, 'macd_lag_5': 0.6025444023166742, 'macd_12_26_9': 0.3178961099483786, 'macds_12_26_9': 0.5031618674437607}, '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': 50.4900016784668, '2018-01-04': 51.209999084472656, '2018-01-05': 51.4900016784668, '2018-01-08': 52.29999923706055, '2018-01-09': 51.90999984741211, '2018-01-10': 51.720001220703125, '2018-01-11': 52.060001373291016, '2018-01-12': 51.900001525878906, '2018-01-16': 51.34000015258789}, '1_month_later': {'2018-02-02': 51.25}, '3_months_later': {'2018-04-02': 53.93000030517578}, '6_months_later': {'2018-07-02': 54.43999862670898}, '12_months_later': {'2019-01-02': 51.560001373291016}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAGS
{'date': '2018-01-02', 'ticker': 'MAGS', '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': 5.070000171661377, 'high': 5.21999979019165, 'open': 5.139999866485596, 'close': 5.21999979019165, 'ema_50': 4.810867508447072, 'rsi_14': 66.66666666666666, 'target': 5.179999828338623, 'volume': 12600.0, 'ema_200': 5.033763076433622, 'adj_close': 5.21999979019165, 'rsi_lag_1': 55.55555555555556, 'rsi_lag_2': 64.28573861416393, 'rsi_lag_3': 76.85187392766727, 'rsi_lag_4': 77.57009845580407, 'rsi_lag_5': 72.72728750528992, 'macd_lag_1': 0.13319568117317804, 'macd_lag_2': 0.14081656338017545, 'macd_lag_3': 0.13525896409577243, 'macd_lag_4': 0.11601623487788171, 'macd_lag_5': 0.08365892108581541, 'macd_12_26_9': 0.13847052560600392, 'macds_12_26_9': 0.1153834173412827}, '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': 5.179999828338623, '2018-01-04': 5.170000076293945, '2018-01-05': 5.46999979019165, '2018-01-08': 5.340000152587891, '2018-01-09': 5.320000171661377, '2018-01-10': 5.309999942779541, '2018-01-11': 5.5, '2018-01-12': 5.440000057220459, '2018-01-16': 5.329999923706055}, '1_month_later': {'2018-02-02': 5.820000171661377}, '3_months_later': {'2018-04-02': 5.769999980926514}, '6_months_later': {'2018-07-02': 5.349999904632568}, '12_months_later': {'2019-01-02': 4.510000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAGA
{'date': '2018-01-02', 'ticker': 'MAGA', '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': 27.989999771118164, 'high': 28.02700042724609, 'open': 28.0, 'close': 27.989999771118164, 'ema_50': 27.17360778004042, 'rsi_14': 65.57752455932365, 'target': 28.25, 'volume': 2100.0, 'ema_200': 26.247348242681877, 'adj_close': 26.829769134521484, 'rsi_lag_1': 63.34953141806037, 'rsi_lag_2': 68.2328519034714, 'rsi_lag_3': 78.2318323458851, 'rsi_lag_4': 73.32871106435695, 'rsi_lag_5': 61.61432521779353, 'macd_lag_1': 0.30514604330022976, 'macd_lag_2': 0.32321131225265987, 'macd_lag_3': 0.34156790917372604, 'macd_lag_4': 0.34373844791939234, 'macd_lag_5': 0.3404908075534365, 'macd_12_26_9': 0.29389665506275975, 'macds_12_26_9': 0.3163652910673942}, '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': 28.25, '2018-01-04': 28.38400077819824, '2018-01-05': 28.45000076293945, '2018-01-08': 28.559999465942383, '2018-01-09': 28.64999961853028, '2018-01-10': 28.53300094604492, '2018-01-11': 28.8799991607666, '2018-01-12': 29.07699966430664, '2018-01-16': 28.8700008392334}, '1_month_later': {'2018-02-02': 28.45000076293945}, '3_months_later': {'2018-04-02': 26.51499938964844}, '6_months_later': {'2018-07-02': 27.28000068664551}, '12_months_later': {'2019-01-02': 23.410999298095703}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAG
{'date': '2018-01-02', 'ticker': 'MAG', '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': 12.399999618530272, 'high': 12.779999732971191, 'open': 12.630000114440918, 'close': 12.779999732971191, 'ema_50': 11.613096399941155, 'rsi_14': 74.5704449334803, 'target': 12.5600004196167, 'volume': 291200.0, 'ema_200': 12.095218122573504, 'adj_close': 12.779999732971191, 'rsi_lag_1': 75.57755547050463, 'rsi_lag_2': 76.20579251417705, 'rsi_lag_3': 74.06250083819033, 'rsi_lag_4': 82.25254595212479, 'rsi_lag_5': 75.36230982664549, 'macd_lag_1': 0.3750757644819256, 'macd_lag_2': 0.3802841871506839, 'macd_lag_3': 0.3864914534991435, 'macd_lag_4': 0.3847197652897947, 'macd_lag_5': 0.34529894103878433, 'macd_12_26_9': 0.400225003354846, 'macds_12_26_9': 0.32961262959609133}, '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': 12.5600004196167, '2018-01-04': 12.609999656677246, '2018-01-05': 12.449999809265137, '2018-01-08': 12.460000038146973, '2018-01-09': 12.25, '2018-01-10': 12.390000343322754, '2018-01-11': 12.079999923706056, '2018-01-12': 12.210000038146973, '2018-01-16': 12.31999969482422}, '1_month_later': {'2018-02-02': 10.18000030517578}, '3_months_later': {'2018-04-02': 10.3100004196167}, '6_months_later': {'2018-07-02': 10.739999771118164}, '12_months_later': {'2019-01-02': 7.619999885559082}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MACK
{'date': '2018-01-02', 'ticker': 'MACK', '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': 7.985837936401367, 'high': 8.434303283691406, 'open': 8.095987319946289, 'close': 8.379228591918945, 'ema_50': 8.920367690571704, 'rsi_14': 52.46636771300448, 'target': 8.57592487335205, 'volume': 204300.0, 'ema_200': 14.961858646078875, 'adj_close': 5.427121639251709, 'rsi_lag_1': 41.17647058823529, 'rsi_lag_2': 52.40963855421687, 'rsi_lag_3': 49.35897435897436, 'rsi_lag_4': 37.77777777777778, 'rsi_lag_5': 31.775682936458267, 'macd_lag_1': -0.2644930033873454, 'macd_lag_2': -0.27318080411224877, 'macd_lag_3': -0.30512973726780146, 'macd_lag_4': -0.3294536466575462, 'macd_lag_5': -0.34849796922249787, 'macd_12_26_9': -0.22956688402412517, 'macds_12_26_9': -0.30035638922634345}, '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': 8.57592487335205, '2018-01-04': 8.72541332244873, '2018-01-05': 8.701809883117676, '2018-01-08': 8.174665451049805, '2018-01-09': 8.206136703491211, '2018-01-10': 8.229740142822266, '2018-01-11': 8.528717994689941, '2018-01-12': 8.45003890991211, '2018-01-16': 8.166797637939453}, '1_month_later': {'2018-02-02': 8.261211395263672}, '3_months_later': {'2018-04-02': 6.097560882568359}, '6_months_later': {'2018-07-02': 3.910306930541992}, '12_months_later': {'2019-01-02': 3.1943352222442627}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAC
{'date': '2018-01-02', 'ticker': 'MAC', '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/heres-why-you-should-hold-on-to-realty-income-o-stock-now-2018-01-02', 'news_author': None, 'news_article': 'Realty IncomeO is likely to remain on the growth curve with strategic acquisitions. During the nine-month period ended Sep 30, 2017, the company invested around $956.9 million in 177 new properties and properties under development or expansion, situated in 35 states. The assets are fully leased with a weighted average lease term of approximately 14.9 years.\nPer a video interview at REITworld 2017 with Nareit, the company\'s CEO, John Case, mentioned that the company continues to witness solid investment opportunities and expects to complete around $1.5 billion of acquisitions in 2017. In fact, according to him, a bigger number of acquisitions are backing the 6% earnings per share increase projected by the company for the year.\nMoreover, in December, Realty Income announced a hike in its common stock monthly cash dividend, giving shareholders another reason to rejoice. This marks the company\'s 94th dividend increase since its NYSE listing in 1994. The company will now pay 21.25 cents per share against 21.20 cents paid earlier. The increased dividend will be paid on Jan 12, 2018, to shareholders of record as of Jan 2, 2018.\nNotably, the company enjoys a trademark on the phrase "The Monthly Dividend Company". The January 2018 dividend not only marks its 570th consecutive monthly payout in its 48-year operating history but also is the 81st consecutive quarterly increase. In fact, the company has generated a compound average annual dividend growth of around 4.6% since its listing on the NYSE. Given its financial position and lower debt-to-equity ratio compared with the industry, this dividend rate is likely to be sustainable.\nRealty Income\'s portfolio comprised 5,062 properties, situated in 49 states and Puerto Rico as of Sep 30, 2017, containing more than 86.4 million leasable square feet of space. These properties are leased to 251 different commercial tenants, belonging to 47 separate industries. The company leases its properties under long-term, net lease agreements.\nLately, shrinking footfall at malls amid shift of consumers toward online channels, store closures and bankruptcy of retailers have emerged as a pressing concerns for most retail REITs including Simon Property Group, Inc. SPG , GGP Inc. GGP and Macerich Company MAC . However, not all are facing the brunt, as a few among these companies are still gaining even in the tepid scenario, thanks to the business models.\nIn fact, this freestanding retail REIT, Realty Income, derives more than 90% of its annualized retail rental revenues from tenants belonging to service, non-discretionary and low-price retail business. Such businesses are less susceptible to economic recessions and competition from Internet retailing.\nAdditionally, Realty Income\'s solid underlying real estate quality and prudent underwriting at acquisition have helped the company maintain high occupancy levels consistently. In fact, since 1996, the company\'s occupancy level has never been below 96%. Additionally, its same-store rent growth has displayed limited operational volatility.\nThe company also maintains a conservative capital structure. It has modest leverage, robust liquidity and continued access to attractively priced equity and debt capital. Additionally, it has a well-laddered debt maturity schedule.\nHowever, Realty Income\'s substantial exposure to single-tenant assets raises risks associated with tenant default. Moreover, despite the company\'s efforts to diversify the tenant base, its tenants in the drug store industry accounted for around 10.8% of its rental revenue in third-quarter 2017. This makes the company\'s results susceptible to any adverse changes in this industry, because a downturn in the industry or a change in legislation relating to prescription drugs, could substantially affect Realty Income\'s tenants and in turn affect the revenue stream of the REIT. Further, rate hike add to its woes.\nShares of Realty Income have outperformed the industry it belongs to, in a month\'s time. This Zacks Rank #3 (Hold) company\'s shares have ascended 3.0%, while the industry registered growth of 2.3% during this time frame. You can see the complete list of today\'s Zacks #1 Rank (Strong Buy) stocks here .\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\nSimon Property Group, Inc. (SPG): Free Stock Analysis Report\nMacerich Company (The) (MAC): Free Stock Analysis Report\nGeneral Growth Properties, Inc. (GGP): Free Stock Analysis Report\nRealty Income Corporation (O): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\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': 'Lately, shrinking footfall at malls amid shift of consumers toward online channels, store closures and bankruptcy of retailers have emerged as a pressing concerns for most retail REITs including Simon Property Group, Inc. SPG , GGP Inc. GGP and Macerich Company MAC . Click to get this free report Simon Property Group, Inc. (SPG): Free Stock Analysis Report Macerich Company (The) (MAC): Free Stock Analysis Report General Growth Properties, Inc. (GGP): Free Stock Analysis Report Realty Income Corporation (O): Free Stock Analysis Report To read this article on Zacks.com click here. Moreover, in December, Realty Income announced a hike in its common stock monthly cash dividend, giving shareholders another reason to rejoice.', 'news_luhn_summary': 'Lately, shrinking footfall at malls amid shift of consumers toward online channels, store closures and bankruptcy of retailers have emerged as a pressing concerns for most retail REITs including Simon Property Group, Inc. SPG , GGP Inc. GGP and Macerich Company MAC . Click to get this free report Simon Property Group, Inc. (SPG): Free Stock Analysis Report Macerich Company (The) (MAC): Free Stock Analysis Report General Growth Properties, Inc. (GGP): Free Stock Analysis Report Realty Income Corporation (O): Free Stock Analysis Report To read this article on Zacks.com click here. In fact, this freestanding retail REIT, Realty Income, derives more than 90% of its annualized retail rental revenues from tenants belonging to service, non-discretionary and low-price retail business.', 'news_article_title': "Here's Why You Should Hold on to Realty Income (O) Stock Now", 'news_lexrank_summary': "Lately, shrinking footfall at malls amid shift of consumers toward online channels, store closures and bankruptcy of retailers have emerged as a pressing concerns for most retail REITs including Simon Property Group, Inc. SPG , GGP Inc. GGP and Macerich Company MAC . Click to get this free report Simon Property Group, Inc. (SPG): Free Stock Analysis Report Macerich Company (The) (MAC): Free Stock Analysis Report General Growth Properties, Inc. (GGP): Free Stock Analysis Report Realty Income Corporation (O): Free Stock Analysis Report To read this article on Zacks.com click here. This marks the company's 94th dividend increase since its NYSE listing in 1994.", 'news_textrank_summary': 'Click to get this free report Simon Property Group, Inc. (SPG): Free Stock Analysis Report Macerich Company (The) (MAC): Free Stock Analysis Report General Growth Properties, Inc. (GGP): Free Stock Analysis Report Realty Income Corporation (O): Free Stock Analysis Report To read this article on Zacks.com click here. Lately, shrinking footfall at malls amid shift of consumers toward online channels, store closures and bankruptcy of retailers have emerged as a pressing concerns for most retail REITs including Simon Property Group, Inc. SPG , GGP Inc. GGP and Macerich Company MAC . Notably, the company enjoys a trademark on the phrase "The Monthly Dividend Company".'}, {'news_url': 'https://seekingalpha.com/article/4134900-westfield-purchase-necessarily-good-news-ggp-class-reits?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Why Westfield Purchase Is Not Necessarily Good News For GGP Or Other Class A REITs', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134845-taubman-management-likely-prevent-takeout?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Taubman: Management Is Likely To Prevent Any Takeout', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.zacks.com/stock/news/287466/heres-why-you-should-hold-on-to-realty-income-o-stock-now?cid=CS-BENZ-FT-287466', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Here's Why You Should Hold on to Realty Income (O) Stock Now", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134716-taubman-centers-vulnerable-mall-reit?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Taubman Centers Is The Most Vulnerable Mall REIT', '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': 65.51000213623047, 'high': 67.1500015258789, 'open': 66.08000183105469, 'close': 66.61000061035156, 'ema_50': 63.026859395483285, 'rsi_14': 67.54759709953473, 'target': 65.6500015258789, 'volume': 3190500.0, 'ema_200': 61.68433001336447, 'adj_close': 56.11713409423828, 'rsi_lag_1': 49.681529546768814, 'rsi_lag_2': 56.44892610017782, 'rsi_lag_3': 54.26930827277722, 'rsi_lag_4': 51.97106348919914, 'rsi_lag_5': 50.0, 'macd_lag_1': 0.8288040613972356, 'macd_lag_2': 0.8749047639921628, 'macd_lag_3': 0.8874199504842153, 'macd_lag_4': 0.9037228136679261, 'macd_lag_5': 0.9266582421201832, 'macd_12_26_9': 0.8574282753167068, 'macds_12_26_9': 0.9898889646039966}, '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': 65.6500015258789, '2018-01-04': 64.0, '2018-01-05': 64.80999755859375, '2018-01-08': 65.2300033569336, '2018-01-09': 63.540000915527344, '2018-01-10': 63.02999877929688, '2018-01-11': 63.09999847412109, '2018-01-12': 62.970001220703125, '2018-01-16': 61.560001373291016}, '1_month_later': {'2018-02-02': 61.459999084472656}, '3_months_later': {'2018-04-02': 55.38999938964844}, '6_months_later': {'2018-07-02': 56.36000061035156}, '12_months_later': {'2019-01-02': 42.84000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MAA
{'date': '2018-01-02', 'ticker': 'MAA', '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': 99.4800033569336, 'high': 100.5999984741211, 'open': 100.5999984741211, 'close': 99.5999984741211, 'ema_50': 102.62195429108932, 'rsi_14': 34.10854432438512, 'target': 99.48999786376952, 'volume': 901600.0, 'ema_200': 102.82540457918921, 'adj_close': 91.10333251953124, 'rsi_lag_1': 36.62852501939115, 'rsi_lag_2': 41.833822163117375, 'rsi_lag_3': 38.74502741334305, 'rsi_lag_4': 44.20955566541493, 'rsi_lag_5': 38.05006171315716, 'macd_lag_1': -0.9119830562640203, 'macd_lag_2': -0.9623641178439755, 'macd_lag_3': -1.012670649273744, 'macd_lag_4': -1.0122596301799547, 'macd_lag_5': -1.0051568848959391, 'macd_12_26_9': -0.9386988688158482, 'macds_12_26_9': -0.8656458738609062}, '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': 99.48999786376952, '2018-01-04': 96.58000183105467, '2018-01-05': 96.1500015258789, '2018-01-08': 96.4800033569336, '2018-01-09': 95.01000213623048, '2018-01-10': 93.91000366210938, '2018-01-11': 92.06999969482422, '2018-01-12': 91.31999969482422, '2018-01-16': 92.1999969482422}, '1_month_later': {'2018-02-02': 91.69000244140624}, '3_months_later': {'2018-04-02': 90.27999877929688}, '6_months_later': {'2018-07-02': 99.41999816894533}, '12_months_later': {'2019-01-02': 92.6500015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MA
{'date': '2018-01-02', 'ticker': 'MA', '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': 151.1199951171875, 'high': 153.41000366210938, 'open': 152.00999450683594, 'close': 151.91000366210938, 'ema_50': 148.97230822709471, 'rsi_14': 55.59174666079068, 'target': 153.82000732421875, 'volume': 3168900.0, 'ema_200': 134.59321377229662, 'adj_close': 149.82220458984375, 'rsi_lag_1': 57.61659145317526, 'rsi_lag_2': 61.983517973227734, 'rsi_lag_3': 67.54851132368198, 'rsi_lag_4': 72.7609302115452, 'rsi_lag_5': 75.10153599649811, 'macd_lag_1': 0.6241463385154589, 'macd_lag_2': 0.6660475302301165, 'macd_lag_3': 0.6680948961641491, 'macd_lag_4': 0.6986641193842615, 'macd_lag_5': 0.739736861762367, 'macd_12_26_9': 0.6280798780414614, 'macds_12_26_9': 0.6998747905001109}, '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': 153.82000732421875, '2018-01-04': 155.80999755859375, '2018-01-05': 159.0399932861328, '2018-01-08': 159.27000427246094, '2018-01-09': 159.5, '2018-01-10': 159.86000061035156, '2018-01-11': 160.9199981689453, '2018-01-12': 162.3300018310547, '2018-01-16': 162.2899932861328}, '1_month_later': {'2018-02-02': 170.5500030517578}, '3_months_later': {'2018-04-02': 171.60000610351562}, '6_months_later': {'2018-07-02': 197.6699981689453}, '12_months_later': {'2019-01-02': 189.7400054931641}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
M
{'date': '2018-01-02', 'ticker': 'M', '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/markets/options/18/01/10972809/macys-option-alert-jan-19-26-puts-at-the-bid-1633-1-341-vs-10320-oi-r', 'news_author': None, 'news_article': None, 'news_publisher': 'Charles Gross', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Macy's Option Alert: Jan 19 $26 Puts at the Bid: 1633 @ $1.341 vs 10320 OI; Ref=$25.87", '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': 25.64999961853028, 'high': 26.32999992370605, 'open': 25.809999465942383, 'close': 26.309999465942383, 'ema_50': 23.476133329912766, 'rsi_14': 52.63158020534836, 'target': 25.32999992370605, 'volume': 12512900.0, 'ema_200': 24.57002252260865, 'adj_close': 22.310970306396484, 'rsi_lag_1': 45.61151939965985, 'rsi_lag_2': 53.1700195517015, 'rsi_lag_3': 53.90070423106789, 'rsi_lag_4': 63.65160616716053, 'rsi_lag_5': 48.78957883800847, 'macd_lag_1': 0.9310886400378067, 'macd_lag_2': 1.0319373425577467, 'macd_lag_3': 1.091683449444858, 'macd_lag_4': 1.16020762247528, 'macd_lag_5': 1.107593536921751, 'macd_12_26_9': 0.930810071204867, 'macds_12_26_9': 1.0740762713680412}, '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': 25.32999992370605, '2018-01-04': 24.489999771118164, '2018-01-05': 24.479999542236328, '2018-01-08': 24.440000534057617, '2018-01-09': 24.690000534057617, '2018-01-10': 25.600000381469727, '2018-01-11': 26.299999237060547, '2018-01-12': 26.88999938964844, '2018-01-16': 25.920000076293945}, '1_month_later': {'2018-02-02': 24.88999938964844}, '3_months_later': {'2018-04-02': 29.06999969482422}, '6_months_later': {'2018-07-02': 36.540000915527344}, '12_months_later': {'2019-01-02': 30.76000022888184}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LZB
{'date': '2018-01-02', 'ticker': 'LZB', '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/617000/investor-expectations-to-drive-momentum-within-aci-worldwide-lazboy-tabula-rasa-healthcare-olympic-steel-eastgroup-properties-and-american-vanguard--discovering-underlying-factors-of-influence', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Investor Expectations to Drive Momentum within ACI Worldwide, La-Z-Boy, Tabula Rasa Healthcare, ...', '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': 31.049999237060547, 'high': 31.39999961853028, 'open': 31.25, 'close': 31.299999237060547, 'ema_50': 29.948773721582157, 'rsi_14': 52.94117911051953, 'target': 31.600000381469727, 'volume': 206100.0, 'ema_200': 28.70543359399734, 'adj_close': 30.1504135131836, 'rsi_lag_1': 45.74468387311988, 'rsi_lag_2': 46.73913764593294, 'rsi_lag_3': 48.93616589554301, 'rsi_lag_4': 47.91665838824245, 'rsi_lag_5': 33.620685402758255, 'macd_lag_1': 0.6514442419950797, 'macd_lag_2': 0.7366942283640547, 'macd_lag_3': 0.7838795676442629, 'macd_lag_4': 0.8276125028409176, 'macd_lag_5': 0.8459390855415094, 'macd_12_26_9': 0.5852061623823737, 'macds_12_26_9': 0.7715963623481719}, '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': 31.600000381469727, '2018-01-04': 31.89999961853028, '2018-01-05': 31.39999961853028, '2018-01-08': 31.5, '2018-01-09': 31.450000762939453, '2018-01-10': 30.950000762939453, '2018-01-11': 31.549999237060547, '2018-01-12': 32.099998474121094, '2018-01-16': 31.850000381469727}, '1_month_later': {'2018-02-02': 29.549999237060547}, '3_months_later': {'2018-04-02': 29.5}, '6_months_later': {'2018-07-02': 31.25}, '12_months_later': {'2019-01-02': 27.489999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LYV
{'date': '2018-01-02', 'ticker': 'LYV', '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': 42.310001373291016, 'high': 42.79999923706055, 'open': 42.72999954223633, 'close': 42.650001525878906, 'ema_50': 43.20826804051814, 'rsi_14': 41.13209991614877, 'target': 42.5099983215332, 'volume': 926800.0, 'ema_200': 38.77869420258281, 'adj_close': 42.650001525878906, 'rsi_lag_1': 42.85716281890421, 'rsi_lag_2': 41.34277166371134, 'rsi_lag_3': 47.385122460071194, 'rsi_lag_4': 43.208111843240495, 'rsi_lag_5': 38.461555497114105, 'macd_lag_1': -0.40856222323167657, 'macd_lag_2': -0.4099142108471625, 'macd_lag_3': -0.4097502706450271, 'macd_lag_4': -0.38219929443134504, 'macd_lag_5': -0.34249297870115925, 'macd_12_26_9': -0.3964650814746591, 'macds_12_26_9': -0.3433969031015427}, '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': 42.5099983215332, '2018-01-04': 42.27000045776367, '2018-01-05': 43.31999969482422, '2018-01-08': 43.04999923706055, '2018-01-09': 43.720001220703125, '2018-01-10': 43.59000015258789, '2018-01-11': 43.7599983215332, '2018-01-12': 44.43000030517578, '2018-01-16': 43.65999984741211}, '1_month_later': {'2018-02-02': 44.72999954223633}, '3_months_later': {'2018-04-02': 38.16999816894531}, '6_months_later': {'2018-07-02': 49.16999816894531}, '12_months_later': {'2019-01-02': 48.310001373291016}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LYTS
{'date': '2018-01-02', 'ticker': 'LYTS', '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': 6.769999980926514, 'high': 7.050000190734863, 'open': 6.880000114440918, 'close': 6.809999942779541, 'ema_50': 6.8109692927997205, 'rsi_14': 53.63128625558885, 'target': 6.829999923706055, 'volume': 56300.0, 'ema_200': 7.572911262725937, 'adj_close': 6.151001453399658, 'rsi_lag_1': 59.35828440653548, 'rsi_lag_2': 60.98901257251788, 'rsi_lag_3': 55.90062240571731, 'rsi_lag_4': 56.25000931322631, 'rsi_lag_5': 57.692298287238074, 'macd_lag_1': 0.03876957032250239, 'macd_lag_2': 0.04365547419590676, 'macd_lag_3': 0.03907486704343199, 'macd_lag_4': 0.0540418070049693, 'macd_lag_5': 0.07134079714965313, 'macd_12_26_9': 0.02891570521425546, 'macds_12_26_9': 0.0458224475084256}, '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': 6.829999923706055, '2018-01-04': 7.309999942779541, '2018-01-05': 7.260000228881836, '2018-01-08': 7.159999847412109, '2018-01-09': 6.920000076293945, '2018-01-10': 6.840000152587891, '2018-01-11': 7.130000114440918, '2018-01-12': 6.960000038146973, '2018-01-16': 6.980000019073486}, '1_month_later': {'2018-02-02': 7.949999809265137}, '3_months_later': {'2018-04-02': 7.789999961853027}, '6_months_later': {'2018-07-02': 5.409999847412109}, '12_months_later': {'2019-01-02': 3.670000076293945}}
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.
LYG
{'date': '2018-01-02', 'ticker': 'LYG', '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': 3.7200000286102295, 'high': 3.7899999618530273, 'open': 3.7300000190734863, 'close': 3.7799999713897705, 'ema_50': 3.614656930756003, 'rsi_14': 73.52939732761129, 'target': 3.7300000190734863, 'volume': 5948400.0, 'ema_200': 3.5322302779954957, 'adj_close': 3.153355598449707, 'rsi_lag_1': 68.74994412075877, 'rsi_lag_2': 74.99995529660701, 'rsi_lag_3': 74.35893046872994, 'rsi_lag_4': 65.85364151685081, 'rsi_lag_5': 61.90475649845514, 'macd_lag_1': 0.035598071462540126, 'macd_lag_2': 0.03029750039250345, 'macd_lag_3': 0.02614589585345195, 'macd_lag_4': 0.023521177389061787, 'macd_lag_5': 0.021865317663189998, 'macd_12_26_9': 0.041738424617307146, 'macds_12_26_9': 0.02699474894619929}, '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': 3.7300000190734863, '2018-01-04': 3.7699999809265137, '2018-01-05': 3.7799999713897705, '2018-01-08': 3.7799999713897705, '2018-01-09': 3.7899999618530273, '2018-01-10': 3.809999942779541, '2018-01-11': 3.869999885559082, '2018-01-12': 3.9600000381469727, '2018-01-16': 4.019999980926514}, '1_month_later': {'2018-02-02': 3.940000057220459}, '3_months_later': {'2018-04-02': 3.690000057220459}, '6_months_later': {'2018-07-02': 3.309999942779541}, '12_months_later': {'2019-01-02': 2.559999942779541}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
LYB
{'date': '2018-01-02', 'ticker': 'LYB', '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': 110.69000244140624, 'high': 112.26000213623048, 'open': 111.0500030517578, 'close': 112.2300033569336, 'ema_50': 105.2408584791181, 'rsi_14': 67.48146624364065, 'target': 112.26000213623048, 'volume': 1127800.0, 'ema_200': 95.56514643171643, 'adj_close': 82.42179870605469, 'rsi_lag_1': 63.294299713642815, 'rsi_lag_2': 69.78722768760656, 'rsi_lag_3': 71.46300357673789, 'rsi_lag_4': 71.4859297470902, 'rsi_lag_5': 73.424461206834, 'macd_lag_1': 1.7514822840856965, 'macd_lag_2': 1.7803332629709416, 'macd_lag_3': 1.7057341700722333, 'macd_lag_4': 1.700762964366831, 'macd_lag_5': 1.6798611906043845, 'macd_12_26_9': 1.8612832932289365, 'macds_12_26_9': 1.6446391325377907}, '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': 112.26000213623048, '2018-01-04': 112.8000030517578, '2018-01-05': 114.37000274658205, '2018-01-08': 114.11000061035156, '2018-01-09': 115.1500015258789, '2018-01-10': 115.02999877929688, '2018-01-11': 117.6999969482422, '2018-01-12': 117.68000030517578, '2018-01-16': 115.88999938964844}, '1_month_later': {'2018-02-02': 112.16999816894533}, '3_months_later': {'2018-04-02': 103.70999908447266}, '6_months_later': {'2018-07-02': 107.5500030517578}, '12_months_later': {'2019-01-02': 83.88999938964844}}
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.
LXU
{'date': '2018-01-02', 'ticker': 'LXU', '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': 8.8100004196167, 'high': 9.359999656677246, 'open': 8.859999656677246, 'close': 9.350000381469728, 'ema_50': 8.416675529397107, 'rsi_14': 62.36933913690146, 'target': 8.949999809265137, 'volume': 196900.0, 'ema_200': 8.463213074649394, 'adj_close': 9.350000381469728, 'rsi_lag_1': 51.06383410445698, 'rsi_lag_2': 56.8965460542542, 'rsi_lag_3': 68.74998137354928, 'rsi_lag_4': 59.313728469282566, 'rsi_lag_5': 56.02093090604065, 'macd_lag_1': 0.18403993510296957, 'macd_lag_2': 0.20440958004037668, 'macd_lag_3': 0.21216273543681474, 'macd_lag_4': 0.17722713861813588, 'macd_lag_5': 0.14125872897862735, 'macd_12_26_9': 0.2130490296165366, 'macds_12_26_9': 0.17466608624444657}, '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': 8.949999809265137, '2018-01-04': 9.270000457763672, '2018-01-05': 9.3100004196167, '2018-01-08': 9.3100004196167, '2018-01-09': 9.220000267028809, '2018-01-10': 9.399999618530272, '2018-01-11': 9.75, '2018-01-12': 9.760000228881836, '2018-01-16': 9.31999969482422}, '1_month_later': {'2018-02-02': 7.800000190734863}, '3_months_later': {'2018-04-02': 5.679999828338623}, '6_months_later': {'2018-07-02': 5.510000228881836}, '12_months_later': {'2019-01-02': 5.760000228881836}}
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.
MDCA
{'date': '2018-01-02', 'ticker': 'MDCA', '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': 9.75, 'high': 10.25, 'open': 9.75, 'close': 10.149999618530272, 'ema_50': 10.687968266813888, 'rsi_14': 35.38460364708526, 'target': 9.949999809265137, 'volume': 501400.0, 'ema_200': 10.32782349962764, 'adj_close': 10.149999618530272, 'rsi_lag_1': 31.147554310950284, 'rsi_lag_2': 29.230784128399193, 'rsi_lag_3': 25.000007012310007, 'rsi_lag_4': 25.000007012310007, 'rsi_lag_5': 25.37313560303936, 'macd_lag_1': -0.34268548001000987, 'macd_lag_2': -0.32069550711544537, 'macd_lag_3': -0.29305457193770934, 'macd_lag_4': -0.2433302184239352, 'macd_lag_5': -0.20177905858018974, 'macd_12_26_9': -0.32410004213854826, 'macds_12_26_9': -0.23285018170821764}, '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': 9.949999809265137, '2018-01-04': 9.850000381469728, '2018-01-05': 9.600000381469728, '2018-01-08': 9.850000381469728, '2018-01-09': 9.649999618530272, '2018-01-10': 9.449999809265137, '2018-01-11': 9.449999809265137, '2018-01-12': 9.399999618530272, '2018-01-16': 8.899999618530273}, '1_month_later': {'2018-02-02': 8.850000381469727}, '3_months_later': {'2018-04-02': 6.949999809265137}, '6_months_later': {'2018-07-02': 4.699999809265137}, '12_months_later': {'2019-01-02': 2.75}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MZA
{'date': '2018-01-02', 'ticker': 'MZA', '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': 16.049999237060547, 'high': 16.219999313354492, 'open': 16.049999237060547, 'close': 16.219999313354492, 'ema_50': 15.596644562464897, 'rsi_14': 70.542625916433, 'target': 16.25, 'volume': 2500.0, 'ema_200': 15.497723415784671, 'adj_close': 16.219999313354492, 'rsi_lag_1': 71.42856118502283, 'rsi_lag_2': 70.4545635165763, 'rsi_lag_3': 69.04764968343298, 'rsi_lag_4': 71.73913794640484, 'rsi_lag_5': 68.5483821348806, 'macd_lag_1': 0.18668150295059682, 'macd_lag_2': 0.17427423199674763, 'macd_lag_3': 0.15793955484982547, 'macd_lag_4': 0.14904774762141493, 'macd_lag_5': 0.14163973460909318, 'macd_12_26_9': 0.1982634178742444, 'macds_12_26_9': 0.16644068526332984}, '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': 16.25, '2018-01-04': 16.700000762939453, '2018-01-05': 16.729999542236328, '2018-01-08': 16.889999389648438, '2018-01-09': 16.93000030517578, '2018-01-10': 17.149999618530273, '2018-01-11': 17.149999618530273, '2018-01-12': 17.100000381469727, '2018-01-16': 17.309999465942383}, '1_month_later': {'2018-02-02': 16.530000686645508}, '3_months_later': {'2018-04-02': 15.329999923706056}, '6_months_later': {'2018-07-02': 15.079999923706056}, '12_months_later': {'2019-01-02': 12.539999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MDIV
{'date': '2018-01-02', 'ticker': 'MDIV', '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': 19.0, 'high': 19.11000061035156, 'open': 19.0, 'close': 19.07999992370605, 'ema_50': 18.99612752013269, 'rsi_14': 52.23885695740896, 'target': 19.14999961853028, 'volume': 144600.0, 'ema_200': 19.131398449624193, 'adj_close': 16.308650970458984, 'rsi_lag_1': 51.51518654451953, 'rsi_lag_2': 56.52176316764245, 'rsi_lag_3': 58.33328918158575, 'rsi_lag_4': 52.49994635564063, 'rsi_lag_5': 46.83547971201347, 'macd_lag_1': 0.021963262426641705, 'macd_lag_2': 0.023349307596166824, 'macd_lag_3': 0.022742368711575978, 'macd_lag_4': 0.026727921512001984, 'macd_lag_5': 0.03040796128731671, 'macd_12_26_9': 0.026211057252144343, 'macds_12_26_9': 0.02755163681124197}, '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': 19.14999961853028, '2018-01-04': 19.170000076293945, '2018-01-05': 19.15999984741211, '2018-01-08': 19.25, '2018-01-09': 19.21999931335449, '2018-01-10': 19.209999084472656, '2018-01-11': 19.31999969482422, '2018-01-12': 19.34000015258789, '2018-01-16': 19.270000457763672}, '1_month_later': {'2018-02-02': 18.739999771118164}, '3_months_later': {'2018-04-02': 17.770000457763672}, '6_months_later': {'2018-07-02': 18.270000457763672}, '12_months_later': {'2019-01-02': 16.959999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHK
{'date': '2018-01-02', 'ticker': 'MHK', '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': 273.4700012207031, 'high': 277.0400085449219, 'open': 277.0400085449219, 'close': 276.0, 'ema_50': 271.5081290266853, 'rsi_14': 45.694556335596765, 'target': 275.1400146484375, 'volume': 471400.0, 'ema_200': 251.23370935763666, 'adj_close': 276.0, 'rsi_lag_1': 37.716981768153666, 'rsi_lag_2': 39.01159730957828, 'rsi_lag_3': 38.85078883993, 'rsi_lag_4': 37.69820828143008, 'rsi_lag_5': 32.14128857952815, 'macd_lag_1': 0.9273569907755927, 'macd_lag_2': 1.0279270546200223, 'macd_lag_3': 1.116900884206359, 'macd_lag_4': 1.489128347642236, 'macd_lag_5': 1.6360921761438476, 'macd_12_26_9': 0.8459723052431514, 'macds_12_26_9': 1.4810146299194031}, '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': 275.1400146484375, '2018-01-04': 275.260009765625, '2018-01-05': 276.6700134277344, '2018-01-08': 279.1499938964844, '2018-01-09': 279.7900085449219, '2018-01-10': 272.0899963378906, '2018-01-11': 271.7200012207031, '2018-01-12': 274.07000732421875, '2018-01-16': 274.489990234375}, '1_month_later': {'2018-02-02': 270.5799865722656}, '3_months_later': {'2018-04-02': 227.6100006103516}, '6_months_later': {'2018-07-02': 213.8600006103516}, '12_months_later': {'2019-01-02': 118.5999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHI
{'date': '2018-01-02', 'ticker': 'MHI', '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': 11.850000381469728, 'high': 11.890000343322754, 'open': 11.890000343322754, 'close': 11.880000114440918, 'ema_50': 11.866239352354015, 'rsi_14': 52.5000596047016, 'target': 11.960000038146973, 'volume': 44300.0, 'ema_200': 12.00148259633387, 'adj_close': 10.440805435180664, 'rsi_lag_1': 51.282082632341066, 'rsi_lag_2': 43.18185758997102, 'rsi_lag_3': 48.78045376517164, 'rsi_lag_4': 57.1428571428573, 'rsi_lag_5': 49.12278353516745, 'macd_lag_1': -0.002580899927005831, 'macd_lag_2': -0.003898450631753647, 'macd_lag_3': -0.004505214581389083, 'macd_lag_4': -0.00928685901731896, 'macd_lag_5': -0.010163966000469316, 'macd_12_26_9': 0.0008739222003679714, 'macds_12_26_9': -0.0042307653889220274}, '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': 11.960000038146973, '2018-01-04': 11.979999542236328, '2018-01-05': 11.960000038146973, '2018-01-08': 11.970000267028809, '2018-01-09': 11.93000030517578, '2018-01-10': 11.880000114440918, '2018-01-11': 11.890000343322754, '2018-01-12': 11.84000015258789, '2018-01-16': 11.829999923706056}, '1_month_later': {'2018-02-02': 11.329999923706056}, '3_months_later': {'2018-04-02': 11.279999732971191}, '6_months_later': {'2018-07-02': 11.489999771118164}, '12_months_later': {'2019-01-02': 11.149999618530272}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHH
{'date': '2018-01-02', 'ticker': 'MHH', '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': 4.949999809265137, 'high': 5.114999771118164, 'open': 5.114999771118164, 'close': 4.974999904632568, 'ema_50': 5.131572191804341, 'rsi_14': 54.31033951207241, 'target': 4.940000057220459, 'volume': 32000.0, 'ema_200': 4.6863300612673315, 'adj_close': 4.974999904632568, 'rsi_lag_1': 52.50001788139627, 'rsi_lag_2': 56.321840760425935, 'rsi_lag_3': 44.27710454026705, 'rsi_lag_4': 44.41087534952467, 'rsi_lag_5': 45.882340071514406, 'macd_lag_1': -0.0953867298956288, 'macd_lag_2': -0.1162058039497067, 'macd_lag_3': -0.12174278640428593, 'macd_lag_4': -0.12805734187043516, 'macd_lag_5': -0.13781802797995102, 'macd_12_26_9': -0.08237595001092313, 'macds_12_26_9': -0.1191685693990394}, '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': 4.940000057220459, '2018-01-04': 4.989999771118164, '2018-01-05': 4.965000152587891, '2018-01-08': 4.925000190734863, '2018-01-09': 4.974999904632568, '2018-01-10': 4.929999828338623, '2018-01-11': 5.045000076293945, '2018-01-12': 5.025000095367432, '2018-01-16': 4.849999904632568}, '1_month_later': {'2018-02-02': 4.945000171661377}, '3_months_later': {'2018-04-02': 5.985000133514404}, '6_months_later': {'2018-07-02': 7.789999961853027}, '12_months_later': {'2019-01-02': 6.440000057220459}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHF
{'date': '2018-01-02', 'ticker': 'MHF', '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': 7.400000095367432, 'high': 7.440000057220459, 'open': 7.400000095367432, 'close': 7.409999847412109, 'ema_50': 7.454478479725822, 'rsi_14': 41.999977111729095, 'target': 7.409999847412109, 'volume': 40700.0, 'ema_200': 7.506784437122177, 'adj_close': 6.679406642913818, 'rsi_lag_1': 47.27274303598831, 'rsi_lag_2': 41.37929617008333, 'rsi_lag_3': 41.37929617008333, 'rsi_lag_4': 47.619025993734496, 'rsi_lag_5': 53.73132947450304, 'macd_lag_1': -0.019080847979289217, 'macd_lag_2': -0.021805962169500148, 'macd_lag_3': -0.02293065950093265, 'macd_lag_4': -0.021996283716883447, 'macd_lag_5': -0.021501891070273338, 'macd_12_26_9': -0.015930640425226628, 'macds_12_26_9': -0.02219438472155241}, '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': 7.409999847412109, '2018-01-04': 7.409999847412109, '2018-01-05': 7.429999828338623, '2018-01-08': 7.429999828338623, '2018-01-09': 7.409999847412109, '2018-01-10': 7.360000133514404, '2018-01-11': 7.369999885559082, '2018-01-12': 7.429999828338623, '2018-01-16': 7.420000076293945}, '1_month_later': {'2018-02-02': 7.230000019073486}, '3_months_later': {'2018-04-02': 7.210000038146973}, '6_months_later': {'2018-07-02': 7.230000019073486}, '12_months_later': {'2019-01-02': 7.059999942779541}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHE
{'date': '2018-01-02', 'ticker': 'MHE', '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': 13.989999771118164, 'high': 14.020000457763672, 'open': 13.989999771118164, 'close': 14.0, 'ema_50': 13.941759803229527, 'rsi_14': 46.2686375961683, 'target': 13.93000030517578, 'volume': 1800.0, 'ema_200': 13.953412539409657, 'adj_close': 12.660542488098145, 'rsi_lag_1': 42.857121231846264, 'rsi_lag_2': 49.180307365195524, 'rsi_lag_3': 48.33337306980097, 'rsi_lag_4': 48.333296246022414, 'rsi_lag_5': 42.647034074207056, 'macd_lag_1': 0.01385767883795097, 'macd_lag_2': 0.018589797981597656, 'macd_lag_3': 0.0192683772067479, 'macd_lag_4': 0.02596326028161755, 'macd_lag_5': 0.029039886756008215, 'macd_12_26_9': 0.014778614078444718, 'macds_12_26_9': 0.024536387539023846}, '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': 13.93000030517578, '2018-01-04': 13.970000267028809, '2018-01-05': 13.920000076293944, '2018-01-08': 13.970000267028809, '2018-01-09': 13.949999809265137, '2018-01-11': 13.949999809265137, '2018-01-16': 13.949999809265137}, '1_month_later': {'2018-02-02': 13.949999809265137}, '3_months_later': {'2018-04-02': 13.050000190734863}, '6_months_later': {'2018-07-02': 12.789999961853027}, '12_months_later': {'2019-01-02': 11.5600004196167}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHD
{'date': '2018-01-02', 'ticker': 'MHD', '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': 16.420000076293945, 'high': 16.489999771118164, 'open': 16.43000030517578, 'close': 16.459999084472656, 'ema_50': 16.702853393381204, 'rsi_14': 38.961013225134444, 'target': 16.540000915527344, 'volume': 28400.0, 'ema_200': 17.040624270716624, 'adj_close': 14.5070161819458, 'rsi_lag_1': 38.461500841190976, 'rsi_lag_2': 28.395090799487605, 'rsi_lag_3': 29.113902657495288, 'rsi_lag_4': 32.530023577643064, 'rsi_lag_5': 34.11773945629368, 'macd_lag_1': -0.08022963691019314, 'macd_lag_2': -0.08980630025638092, 'macd_lag_3': -0.09359608999604774, 'macd_lag_4': -0.10012626330133045, 'macd_lag_5': -0.09987751538085732, 'macd_12_26_9': -0.07659868957203742, 'macds_12_26_9': -0.08235263476565398}, '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': 16.540000915527344, '2018-01-04': 16.56999969482422, '2018-01-05': 16.520000457763672, '2018-01-08': 16.649999618530273, '2018-01-09': 16.489999771118164, '2018-01-10': 16.43000030517578, '2018-01-11': 16.520000457763672, '2018-01-12': 16.34000015258789, '2018-01-16': 16.31999969482422}, '1_month_later': {'2018-02-02': 15.649999618530272}, '3_months_later': {'2018-04-02': 15.18000030517578}, '6_months_later': {'2018-07-02': 16.149999618530273}, '12_months_later': {'2019-01-02': 14.960000038146973}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGY
{'date': '2018-01-02', 'ticker': 'MGY', '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': 9.739999771118164, 'high': 9.739999771118164, 'open': 9.739999771118164, 'close': 9.739999771118164, 'ema_50': 9.691134692010293, 'rsi_14': 66.66613685130733, 'target': 9.729999542236328, 'volume': 0.0, 'ema_200': 7.098439797646338, 'adj_close': 9.739999771118164, 'rsi_lag_1': 66.66613685130733, 'rsi_lag_2': 59.99923706345725, 'rsi_lag_3': 42.856948228882835, 'rsi_lag_4': 43.6613475177305, 'rsi_lag_5': 43.6613475177305, 'macd_lag_1': -0.000965861972693105, 'macd_lag_2': -0.0016869202906324432, 'macd_lag_3': -0.0015645107624262522, 'macd_lag_4': -0.0013855151716981595, 'macd_lag_5': -0.0011368987606719116, 'macd_12_26_9': -0.00038992326806486233, 'macds_12_26_9': -0.0016558958601570102}, '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': 9.729999542236328, '2018-01-04': 9.800000190734863, '2018-01-05': 9.760000228881836, '2018-01-08': 9.760000228881836, '2018-01-09': 9.770000457763672, '2018-01-10': 9.770000457763672, '2018-01-11': 9.770000457763672, '2018-01-12': 9.75, '2018-01-16': 9.779999732971191}, '1_month_later': {'2018-02-02': 9.75}, '3_months_later': {'2018-04-02': 10.100000381469728}, '6_months_later': {'2018-07-02': 10.899999618530272}, '12_months_later': {'2019-01-02': 11.289999961853027}}
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.
MHLD
{'date': '2018-01-02', 'ticker': 'MHLD', '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': 6.699999809265137, 'high': 7.0, 'open': 6.75, 'close': 6.849999904632568, 'ema_50': 7.143259969905142, 'rsi_14': 51.66666587193768, 'target': 6.849999904632568, 'volume': 843700.0, 'ema_200': 9.382771444387577, 'adj_close': 6.458135604858398, 'rsi_lag_1': 47.27272412008327, 'rsi_lag_2': 55.31915238994998, 'rsi_lag_3': 52.70270212218467, 'rsi_lag_4': 44.84536209171404, 'rsi_lag_5': 47.28260939986633, 'macd_lag_1': -0.060329651747002444, 'macd_lag_2': -0.04091630095984655, 'macd_lag_3': -0.06645175066846143, 'macd_lag_4': -0.08280496221305, 'macd_lag_5': -0.07192774553727688, 'macd_12_26_9': -0.054909004623011626, 'macds_12_26_9': -0.07656192908791092}, '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': 6.849999904632568, '2018-01-04': 6.800000190734863, '2018-01-05': 6.800000190734863, '2018-01-08': 6.599999904632568, '2018-01-09': 6.5, '2018-01-10': 7.599999904632568, '2018-01-11': 7.550000190734863, '2018-01-12': 7.699999809265137, '2018-01-16': 7.800000190734863}, '1_month_later': {'2018-02-02': 6.949999809265137}, '3_months_later': {'2018-04-02': 6.349999904632568}, '6_months_later': {'2018-07-02': 7.900000095367432}, '12_months_later': {'2019-01-02': 1.7100000381469729}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGV
{'date': '2018-01-02', 'ticker': 'MGV', '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': 76.45999908447266, 'high': 76.7300033569336, 'open': 76.66000366210938, 'close': 76.7300033569336, 'ema_50': 74.96283449058153, 'rsi_14': 55.91940901997862, 'target': 77.02999877929688, 'volume': 86200.0, 'ema_200': 71.45076286316053, 'adj_close': 71.5848388671875, 'rsi_lag_1': 55.80807059118188, 'rsi_lag_2': 65.15510997084803, 'rsi_lag_3': 63.86134874322512, 'rsi_lag_4': 60.66354138229652, 'rsi_lag_5': 64.81011484662008, 'macd_lag_1': 0.6366382335045842, 'macd_lag_2': 0.6937110029654292, 'macd_lag_3': 0.726938902725891, 'macd_lag_4': 0.7821946525410084, 'macd_lag_5': 0.843379727380281, 'macd_12_26_9': 0.606206766533532, 'macds_12_26_9': 0.7167181051855969}, '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': 77.02999877929688, '2018-01-04': 77.5199966430664, '2018-01-05': 77.79000091552734, '2018-01-08': 77.94000244140625, '2018-01-09': 78.12999725341797, '2018-01-10': 78.08000183105469, '2018-01-11': 78.55999755859375, '2018-01-12': 79.13999938964844, '2018-01-16': 78.9800033569336}, '1_month_later': {'2018-02-02': 78.3499984741211}, '3_months_later': {'2018-04-02': 72.3499984741211}, '6_months_later': {'2018-07-02': 74.61000061035156}, '12_months_later': {'2019-01-02': 71.51000213623047}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGRC
{'date': '2018-01-02', 'ticker': 'MGRC', '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': 46.79999923706055, 'high': 47.58000183105469, 'open': 47.34000015258789, 'close': 47.459999084472656, 'ema_50': 46.01973144520919, 'rsi_14': 71.32218806119434, 'target': 48.36000061035156, 'volume': 97800.0, 'ema_200': 41.05351735740396, 'adj_close': 44.648624420166016, 'rsi_lag_1': 60.688415061429104, 'rsi_lag_2': 52.672958521144295, 'rsi_lag_3': 50.46440725407142, 'rsi_lag_4': 49.52683286080799, 'rsi_lag_5': 49.68356703399253, 'macd_lag_1': 0.18177975728554685, 'macd_lag_2': 0.17316664671156445, 'macd_lag_3': 0.13521786345561537, 'macd_lag_4': 0.09397826307670698, 'macd_lag_5': 0.07051995708538072, 'macd_12_26_9': 0.22474691842891303, 'macds_12_26_9': 0.11262575517715841}, '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': 48.36000061035156, '2018-01-04': 49.0099983215332, '2018-01-05': 48.90999984741211, '2018-01-08': 48.59999847412109, '2018-01-09': 48.09999847412109, '2018-01-10': 47.91999816894531, '2018-01-11': 48.95000076293945, '2018-01-12': 49.65999984741211, '2018-01-16': 49.400001525878906}, '1_month_later': {'2018-02-02': 48.290000915527344}, '3_months_later': {'2018-04-02': 52.869998931884766}, '6_months_later': {'2018-07-02': 63.72999954223633}, '12_months_later': {'2019-01-02': 50.77999877929688}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGPI
{'date': '2018-01-02', 'ticker': 'MGPI', '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': 76.80999755859375, 'high': 79.44999694824219, 'open': 77.22000122070312, 'close': 79.19999694824219, 'ema_50': 72.33682089847937, 'rsi_14': 66.20860124767509, 'target': 76.0999984741211, 'volume': 274700.0, 'ema_200': 61.134226393957285, 'adj_close': 77.72789764404297, 'rsi_lag_1': 61.19079831693616, 'rsi_lag_2': 56.90407424020724, 'rsi_lag_3': 51.21951077680827, 'rsi_lag_4': 47.26688201494354, 'rsi_lag_5': 42.54352679989511, 'macd_lag_1': 0.9991357656198261, 'macd_lag_2': 0.9380977070714351, 'macd_lag_3': 0.9178183076969617, 'macd_lag_4': 0.99160257925557, 'macd_lag_5': 1.1568817300228176, 'macd_12_26_9': 1.2206426445183922, 'macds_12_26_9': 1.1141501165150365}, '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': 76.0999984741211, '2018-01-04': 75.83999633789062, '2018-01-05': 77.8499984741211, '2018-01-08': 77.41000366210938, '2018-01-09': 77.13999938964844, '2018-01-10': 76.30000305175781, '2018-01-11': 76.55999755859375, '2018-01-12': 75.41000366210938, '2018-01-16': 75.38999938964844}, '1_month_later': {'2018-02-02': 82.27999877929688}, '3_months_later': {'2018-04-02': 86.05999755859375}, '6_months_later': {'2018-07-02': 91.55999755859376}, '12_months_later': {'2019-01-02': 56.380001068115234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGP
{'date': '2018-01-02', 'ticker': 'MGP', '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': 28.63999938964844, 'high': 29.229999542236328, 'open': 29.15999984741211, 'close': 28.68000030517578, 'ema_50': 29.231004215670676, 'rsi_14': 44.70586981327048, 'target': 28.290000915527344, 'volume': 774000.0, 'ema_200': 28.685704153616655, 'adj_close': 24.369686126708984, 'rsi_lag_1': 51.700688657426234, 'rsi_lag_2': 49.82331726799909, 'rsi_lag_3': 58.02921867505902, 'rsi_lag_4': 52.17389802022339, 'rsi_lag_5': 51.470589266518104, 'macd_lag_1': -0.07163639662747201, 'macd_lag_2': -0.09126817922006225, 'macd_lag_3': -0.10074345217628178, 'macd_lag_4': -0.1388629424174077, 'macd_lag_5': -0.17022456634597916, 'macd_12_26_9': -0.09293182390512555, 'macds_12_26_9': -0.11260622084512768}, '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': 28.290000915527344, '2018-01-04': 28.540000915527344, '2018-01-05': 28.71999931335449, '2018-01-08': 28.6200008392334, '2018-01-09': 28.82999992370605, '2018-01-10': 28.78000068664551, '2018-01-11': 28.690000534057614, '2018-01-12': 28.540000915527344, '2018-01-16': 29.5}, '1_month_later': {'2018-02-02': 27.86000061035156}, '3_months_later': {'2018-04-02': 25.79999923706055}, '6_months_later': {'2018-07-02': 30.07999992370605}, '12_months_later': {'2019-01-02': 26.209999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGNX
{'date': '2018-01-02', 'ticker': 'MGNX', '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': 19.46999931335449, 'open': 19.14999961853028, 'close': 19.420000076293945, 'ema_50': 18.915261146311032, 'rsi_14': 60.171945765653824, 'target': 20.040000915527344, 'volume': 200900.0, 'ema_200': 19.05731720482889, 'adj_close': 19.420000076293945, 'rsi_lag_1': 43.52331068560839, 'rsi_lag_2': 54.31470213628067, 'rsi_lag_3': 55.29716233479481, 'rsi_lag_4': 45.783123670312335, 'rsi_lag_5': 43.87989419271284, 'macd_lag_1': 0.07843347892674402, 'macd_lag_2': 0.10777416168914655, 'macd_lag_3': 0.10496509442144131, 'macd_lag_4': 0.09170749132173128, 'macd_lag_5': 0.09788838200545769, 'macd_12_26_9': 0.08805621528247798, 'macds_12_26_9': 0.10172365954448462}, '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': 20.040000915527344, '2018-01-04': 19.850000381469727, '2018-01-05': 19.93000030517578, '2018-01-08': 19.549999237060547, '2018-01-09': 19.6299991607666, '2018-01-10': 19.68000030517578, '2018-01-11': 19.450000762939453, '2018-01-12': 20.530000686645508, '2018-01-16': 19.780000686645508}, '1_month_later': {'2018-02-02': 21.86000061035156}, '3_months_later': {'2018-04-02': 22.8799991607666}, '6_months_later': {'2018-07-02': 20.959999084472656}, '12_months_later': {'2019-01-02': 12.65999984741211}}
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.
MGM
{'date': '2018-01-02', 'ticker': 'MGM', '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/casinos-hit-luck-factor-house-doesnt-always-win-2018-01-02', 'news_author': None, 'news_article': 'SHUTTERSTOCK PHOTO\nWynn Resorts ( WYNN ), Las Vegas Sands ( LVS ) and Melco Resorts & Entertainment ( MLCO ) are sliding Tuesday after Macau gaming revenue for the month of December unexpectedly fell short of estimates.\n[ibd-display-video id=3058793 width=50 float=left autostart=true] Gross gaming revenue rose only 14.6% for the last month of 2017 to 22.7 billion patacas ($2.82 billion), according to Macau\'s Gaming Inspection and Coordination Bureau (DICJ) , short of Bloomberg survey estimates for 20% growth.\nHigh-rollers who walked away from the table with winnings wound up weighing on December casino revenue in the Chinese territory, said the outlet.\n"We would attribute December\'s weakness primarily to the luck factor on VIP, although given the miss relative to consensus we would expect shares of the Macau names to be weak today," wrote Union Gaming analyst Grant Govertsen in a Monday report.\nShares of Wynn were down 2.6% on the stock market today . Melco Resorts sold off 2.9%, Las Vegas Sands dipped 0.6% but had fallen as much as 1.4% earlier. MGM Resorts International ( MGM ), which is more U.S.-focused, rebounded from an intraday test at the 50-day line and edged up 0.4%.\nIBD\'S TAKE : With thousands of publicly traded companies to choose from, how can you quickly find the best stocks to buy right now? A good starting point is to regularly reviewscreens that highlight the top-rated equities.\nGamblers nevertheless plunked down enough money to make it a double-digit year for Macau\'s casinos, with revenue up 19.1% in 2017 to 265.7 billion patacas ($33 billion). Reuters said analysts had expected 18%-20% in gains for the year.\nAnd that marks a big swing of fortune, compared to the last three years of year-over-year gaming revenue declines in the region amid a government crackdown on corruption. The last time Macau\'s gross gaming revenue ended a year in the black was 2013.\n"Looking ahead to early 2018, we expect the combined January/February period to grow in the high teens to low twenties (against a comp of +11% spread across the two-month period)," said Govertsen, adding, "For the whole of 2018 we are currently expecting growth in the mid-teens, driven by VIP at ~20%+ growth and mass at ~10%+."\nYOU MIGHT BE INTERESTED IN :\nCoal Vs. The Casino: Two Leaders Break Out, Take New Highs\nBest Chinese Stocks To Buy And Watch\nBanks And Financial Stock News\nBitcoin And Cryptocurrency News And Trends\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': 'MGM Resorts International ( MGM ), which is more U.S.-focused, rebounded from an intraday test at the 50-day line and edged up 0.4%. High-rollers who walked away from the table with winnings wound up weighing on December casino revenue in the Chinese territory, said the outlet. And that marks a big swing of fortune, compared to the last three years of year-over-year gaming revenue declines in the region amid a government crackdown on corruption.', 'news_luhn_summary': "MGM Resorts International ( MGM ), which is more U.S.-focused, rebounded from an intraday test at the 50-day line and edged up 0.4%. Wynn Resorts ( WYNN ), Las Vegas Sands ( LVS ) and Melco Resorts & Entertainment ( MLCO ) are sliding Tuesday after Macau gaming revenue for the month of December unexpectedly fell short of estimates. Gamblers nevertheless plunked down enough money to make it a double-digit year for Macau's casinos, with revenue up 19.1% in 2017 to 265.7 billion patacas ($33 billion).", 'news_article_title': "Casinos Hit By 'Luck Factor' As The House Doesn't Always Win", 'news_lexrank_summary': "MGM Resorts International ( MGM ), which is more U.S.-focused, rebounded from an intraday test at the 50-day line and edged up 0.4%. Wynn Resorts ( WYNN ), Las Vegas Sands ( LVS ) and Melco Resorts & Entertainment ( MLCO ) are sliding Tuesday after Macau gaming revenue for the month of December unexpectedly fell short of estimates. [ibd-display-video id=3058793 width=50 float=left autostart=true] Gross gaming revenue rose only 14.6% for the last month of 2017 to 22.7 billion patacas ($2.82 billion), according to Macau's Gaming Inspection and Coordination Bureau (DICJ) , short of Bloomberg survey estimates for 20% growth.", 'news_textrank_summary': "MGM Resorts International ( MGM ), which is more U.S.-focused, rebounded from an intraday test at the 50-day line and edged up 0.4%. Wynn Resorts ( WYNN ), Las Vegas Sands ( LVS ) and Melco Resorts & Entertainment ( MLCO ) are sliding Tuesday after Macau gaming revenue for the month of December unexpectedly fell short of estimates. [ibd-display-video id=3058793 width=50 float=left autostart=true] Gross gaming revenue rose only 14.6% for the last month of 2017 to 22.7 billion patacas ($2.82 billion), according to Macau's Gaming Inspection and Coordination Bureau (DICJ) , short of Bloomberg survey estimates for 20% growth."}, {'news_url': 'https://www.nasdaq.com/articles/consumer-sector-update-01022018-wmt-mcd-dis-ko-cvs-pg-lvs-wynn-mgm-ttm-deck-iagl-2018-01', 'news_author': None, 'news_article': 'Top Consumer Shares:\nWMT: +0.4%\nMCD: +0.5%\nDIS: +0.9%\nCVS: flat\nKO: flat\nPG: +0.1%\nConsumer shares were steady ahead of the opening bell on Tuesday.\nExpected movers:\n- Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ), MGM Resorts ( MGM ): Macau gaming revenue grows slower than expected in December\n- Tata Motors ( TTM ): reports 52% growth in commercial and passenger vehicle domestic sales in December 2017\nOther news:\n- Deckers Outdoor ( DECK ): downgraded to Hold from Buy at Jefferies\nNews from overseas:\n- IAG (IAG.L): gains in London trading after the company reported late Friday it would buy insolvent Austrian airline Niki for EUR20 million ($24 million).\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nCopyright (C) 2016 MTNewswires.com. All rights reserved. Unauthorized reproduction is strictly prohibited.\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': 'Expected movers: - Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ), MGM Resorts ( MGM ): Macau gaming revenue grows slower than expected in December - Tata Motors ( TTM ): reports 52% growth in commercial and passenger vehicle domestic sales in December 2017 Other news: - Deckers Outdoor ( DECK ): downgraded to Hold from Buy at Jefferies News from overseas: - IAG (IAG.L): gains in London trading after the company reported late Friday it would buy insolvent Austrian airline Niki for EUR20 million ($24 million). Consumer shares were steady ahead of the opening bell on Tuesday. Unauthorized reproduction is strictly prohibited.', 'news_luhn_summary': 'Expected movers: - Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ), MGM Resorts ( MGM ): Macau gaming revenue grows slower than expected in December - Tata Motors ( TTM ): reports 52% growth in commercial and passenger vehicle domestic sales in December 2017 Other news: - Deckers Outdoor ( DECK ): downgraded to Hold from Buy at Jefferies News from overseas: - IAG (IAG.L): gains in London trading after the company reported late Friday it would buy insolvent Austrian airline Niki for EUR20 million ($24 million). 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': 'Consumer Sector Update for 01/02/2018: WMT, MCD, DIS, KO, CVS, PG, LVS, WYNN, MGM, TTM, DECK, IAG.L', 'news_lexrank_summary': 'Expected movers: - Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ), MGM Resorts ( MGM ): Macau gaming revenue grows slower than expected in December - Tata Motors ( TTM ): reports 52% growth in commercial and passenger vehicle domestic sales in December 2017 Other news: - Deckers Outdoor ( DECK ): downgraded to Hold from Buy at Jefferies News from overseas: - IAG (IAG.L): gains in London trading after the company reported late Friday it would buy insolvent Austrian airline Niki for EUR20 million ($24 million). Top Consumer Shares: CVS: flat KO: flat', 'news_textrank_summary': 'Expected movers: - Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ), MGM Resorts ( MGM ): Macau gaming revenue grows slower than expected in December - Tata Motors ( TTM ): reports 52% growth in commercial and passenger vehicle domestic sales in December 2017 Other news: - Deckers Outdoor ( DECK ): downgraded to Hold from Buy at Jefferies News from overseas: - IAG (IAG.L): gains in London trading after the company reported late Friday it would buy insolvent Austrian airline Niki for EUR20 million ($24 million). Consumer shares were steady ahead of the opening bell on Tuesday. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.'}, {'news_url': 'https://www.nasdaq.com/articles/consumer-sector-update-01022018-amznrciittmlvswynnmgm-2018-01-02', 'news_author': None, 'news_article': 'Top Consumer Stocks\nWMT -0.14%\nMCD +0.75%\nDIS +3.93%\nCVS +1.38%\nKO -0.66%\nThe gap for consumer stocks continued to widen today, with shares of consumer staples companies in the S&P 500 sinking nearly 0.5% this afternoon while shares of consumer discretionary firms in the S&P 500 were climbing more than 1.4%.\nIn industry news:\nSelected gaming stocks declined Tuesday after gaming revenue in the Chinese resort hub of Macau rose by just under 15% during December to 22.7 bln patacas, or about $2.8 bln, missing the median call in a Bloomberg survey expecting a 20% increase after gamblers took home greater-than-expected winnings. Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower today.\nAmong consumer stocks moving on news:\nAmazon.com ( AMZN ) advanced Tuesday after the online retailer reported shipping over 5 bln items through its Prime delivery service during 2017. More new paid members joined Prime last year than in any other year, the company said without providing specifics. It also said it fulfillment and shipping network grew by more than 30% in 2017, as measured by its square footage.\nIn other sector news:\n+ Tata Motors ( TTM ) advanced after the carmaker reported a 52% increase in domestic commercial and passenger vehicle sales during December 2017. Separately, Tata selected Westport Fuel Systems (WPRT) to supply it with four- and six-cyclinder natural gas spark-ignited engines as part of efforts to meet new emission standards slated to take effect in April 2020.\n- Rent-A-Center (RCII) slipped Tuesday after selecting former company president and chief operating officer and current board member Mitchell Fadel to be its new chief executive officer, effective immediately. He replaces Mark Speese, who is retiring.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nCopyright (C) 2016 MTNewswires.com. All rights reserved. Unauthorized reproduction is strictly prohibited.\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': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower today. Among consumer stocks moving on news: Amazon.com ( AMZN ) advanced Tuesday after the online retailer reported shipping over 5 bln items through its Prime delivery service during 2017. In other sector news: + Tata Motors ( TTM ) advanced after the carmaker reported a 52% increase in domestic commercial and passenger vehicle sales during December 2017.', 'news_luhn_summary': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower today. In industry news: Selected gaming stocks declined Tuesday after gaming revenue in the Chinese resort hub of Macau rose by just under 15% during December to 22.7 bln patacas, or about $2.8 bln, missing the median call in a Bloomberg survey expecting a 20% increase after gamblers took home greater-than-expected winnings. 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': 'Consumer Sector Update for 01/02/2018: AMZN,RCII,TTM,LVS,WYNN,MGM', 'news_lexrank_summary': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower today. The gap for consumer stocks continued to widen today, with shares of consumer staples companies in the S&P 500 sinking nearly 0.5% this afternoon while shares of consumer discretionary firms in the S&P 500 were climbing more than 1.4%. Among consumer stocks moving on news: Amazon.com ( AMZN ) advanced Tuesday after the online retailer reported shipping over 5 bln items through its Prime delivery service during 2017.', 'news_textrank_summary': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower today. The gap for consumer stocks continued to widen today, with shares of consumer staples companies in the S&P 500 sinking nearly 0.5% this afternoon while shares of consumer discretionary firms in the S&P 500 were climbing more than 1.4%. In industry news: Selected gaming stocks declined Tuesday after gaming revenue in the Chinese resort hub of Macau rose by just under 15% during December to 22.7 bln patacas, or about $2.8 bln, missing the median call in a Bloomberg survey expecting a 20% increase after gamblers took home greater-than-expected winnings.'}, {'news_url': 'https://www.nasdaq.com/articles/consumer-sector-update-01022018-rciittmdecksirilvswynnmgm-2018-01-02', 'news_author': None, 'news_article': 'Top Consumer Stocks\nWMT +0.25%\nMCD +0.57%\nDIS +3.07%\nCVS +1.49%\nKO -0.35%\nConsumer stocks were broadly mixed Tuesday, with shares of consumer staples companies in the S&P 500 sinking over 0.3% while shares of consumer discretionary firms in the S&P 500 were climbing more than 1.3%.\nIn industry news:\nSelected gaming stocks declined Tuesday after gaming revenue in the Chinese resort hub of Macau rose by just under 15% during December to 22.7 billion patacas, or about $2.8 billion, missing the median call in a Bloomberg survey expecting a 20% increase after gamblers took home greater-than-expected winnings. Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower.\nAmong consumer stocks moving on news:\n- Rent-A-Center ( RCII ) slipped Tuesday, at one point falling over 4% to a session low of $10.64 a share, after the specialty retailer tapped former president and chief operating officer and current board member Mitchell Fadel to be its new chief executive officer, effective immediately. He replaces Mark Speese, who is retiring. Fadel will keep his seat on the Rent-a-Center board and the company Tuesday also reiterated its commitment to a previously announced strategic review process.\nIn other sector news:\n+ Tata Motors ( TTM ) advanced after reporting 52% growth in domestic commercial and passenger vehicle sales during December 2017.\n- Deckers Outdoor (DECK) was edging higher despite a downgrade to Hold from Buy at Jefferies & Co.\n- JP Morgan has downgraded\nSirius XM Holdings (SIRI) fell when analysts at JP Morgan Tuesday cut their investment recommendation to Underweight from Neutral previously.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nCopyright (C) 2016 MTNewswires.com. All rights reserved. Unauthorized reproduction is strictly prohibited.\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': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower. Among consumer stocks moving on news: - Rent-A-Center ( RCII ) slipped Tuesday, at one point falling over 4% to a session low of $10.64 a share, after the specialty retailer tapped former president and chief operating officer and current board member Mitchell Fadel to be its new chief executive officer, effective immediately. Fadel will keep his seat on the Rent-a-Center board and the company Tuesday also reiterated its commitment to a previously announced strategic review process.', 'news_luhn_summary': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower. 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': 'Consumer Sector Update for 01/02/2018: RCII,TTM,DECK,SIRI,LVS,WYNN,MGM', 'news_lexrank_summary': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower. Consumer stocks were broadly mixed Tuesday, with shares of consumer staples companies in the S&P 500 sinking over 0.3% while shares of consumer discretionary firms in the S&P 500 were climbing more than 1.3%. In industry news: Selected gaming stocks declined Tuesday after gaming revenue in the Chinese resort hub of Macau rose by just under 15% during December to 22.7 billion patacas, or about $2.8 billion, missing the median call in a Bloomberg survey expecting a 20% increase after gamblers took home greater-than-expected winnings.', 'news_textrank_summary': 'Shares of Las Vegas Sands ( LVS ), Wynn Resorts ( WYNN ) and MGM Resorts ( MGM ) all were moderately lower. Consumer stocks were broadly mixed Tuesday, with shares of consumer staples companies in the S&P 500 sinking over 0.3% while shares of consumer discretionary firms in the S&P 500 were climbing more than 1.3%. In industry news: Selected gaming stocks declined Tuesday after gaming revenue in the Chinese resort hub of Macau rose by just under 15% during December to 22.7 billion patacas, or about $2.8 billion, missing the median call in a Bloomberg survey expecting a 20% increase after gamblers took home greater-than-expected winnings.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.83000183105469, 'high': 33.56999969482422, 'open': 32.9900016784668, 'close': 33.5099983215332, 'ema_50': 32.879384413921244, 'rsi_14': 52.27879844057452, 'target': 33.33000183105469, 'volume': 5449900.0, 'ema_200': 31.31172026952705, 'adj_close': 33.5099983215332, 'rsi_lag_1': 52.785136226299784, 'rsi_lag_2': 53.9295572257084, 'rsi_lag_3': 57.92208898850042, 'rsi_lag_4': 43.18706209149463, 'rsi_lag_5': 40.43477575810851, 'macd_lag_1': 0.16742087916130544, 'macd_lag_2': 0.1784416652869183, 'macd_lag_3': 0.16547614627553742, 'macd_lag_4': 0.13837525094425018, 'macd_lag_5': 0.1384265303071146, 'macd_12_26_9': 0.1664509942370458, 'macds_12_26_9': 0.17404495585664137}, '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': 33.33000183105469, '2018-01-04': 33.65999984741211, '2018-01-05': 33.88999938964844, '2018-01-08': 33.099998474121094, '2018-01-09': 33.630001068115234, '2018-01-10': 33.91999816894531, '2018-01-11': 35.11000061035156, '2018-01-12': 35.029998779296875, '2018-01-16': 36.02999877929688}, '1_month_later': {'2018-02-02': 35.58000183105469}, '3_months_later': {'2018-04-02': 33.880001068115234}, '6_months_later': {'2018-07-02': 28.15999984741211}, '12_months_later': {'2019-01-02': 25.190000534057617}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGIC
{'date': '2018-01-02', 'ticker': 'MGIC', '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': 8.550000190734863, 'high': 8.699999809265137, 'open': 8.600000381469727, 'close': 8.699999809265137, 'ema_50': 8.436594512137173, 'rsi_14': 70.8333471307271, 'target': 8.699999809265137, 'volume': 51600.0, 'ema_200': 8.199548526594672, 'adj_close': 8.2757568359375, 'rsi_lag_1': 64.10258291273784, 'rsi_lag_2': 65.2173840931915, 'rsi_lag_3': 63.636379399583674, 'rsi_lag_4': 75.0, 'rsi_lag_5': 66.66666666666666, 'macd_lag_1': -0.01049466351787487, 'macd_lag_2': -0.015154527415402796, 'macd_lag_3': -0.028009020409760055, 'macd_lag_4': -0.03382686397742951, 'macd_lag_5': -0.05603320926902988, 'macd_12_26_9': 0.018802865487737463, 'macds_12_26_9': -0.04055647351070343}, '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': 8.699999809265137, '2018-01-04': 8.979999542236328, '2018-01-05': 8.899999618530273, '2018-01-08': 8.800000190734863, '2018-01-09': 8.800000190734863, '2018-01-10': 8.84000015258789, '2018-01-11': 8.699999809265137, '2018-01-12': 8.949999809265137, '2018-01-16': 8.850000381469727}, '1_month_later': {'2018-02-02': 8.899999618530273}, '3_months_later': {'2018-04-02': 8.100000381469727}, '6_months_later': {'2018-07-02': 8.199999809265137}, '12_months_later': {'2019-01-02': 7.670000076293945}}
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.
MGI
{'date': '2018-01-02', 'ticker': 'MGI', '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': 13.199999809265137, 'high': 13.380000114440918, 'open': 13.199999809265137, 'close': 13.3100004196167, 'ema_50': 14.055397081392199, 'rsi_14': 60.48388213198539, 'target': 12.109999656677246, 'volume': 393500.0, 'ema_200': 14.650756846162558, 'adj_close': 13.3100004196167, 'rsi_lag_1': 53.44827302712692, 'rsi_lag_2': 55.357138295562486, 'rsi_lag_3': 42.307658449412784, 'rsi_lag_4': 29.012322422193066, 'rsi_lag_5': 27.01147314829487, 'macd_lag_1': -0.3083423349914831, 'macd_lag_2': -0.3271002078375087, 'macd_lag_3': -0.3585024235948193, 'macd_lag_4': -0.38624115042564355, 'macd_lag_5': -0.4078823527970883, 'macd_12_26_9': -0.2797617436041069, 'macds_12_26_9': -0.3607339594639093}, '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': 12.109999656677246, '2018-01-04': 11.710000038146973, '2018-01-05': 12.279999732971191, '2018-01-08': 12.020000457763672, '2018-01-09': 12.050000190734863, '2018-01-10': 12.119999885559082, '2018-01-11': 12.18000030517578, '2018-01-12': 12.649999618530272, '2018-01-16': 12.220000267028809}, '1_month_later': {'2018-02-02': 11.649999618530272}, '3_months_later': {'2018-04-02': 8.15999984741211}, '6_months_later': {'2018-07-02': 6.789999961853027}, '12_months_later': {'2019-01-02': 2.1600000858306885}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGF
{'date': '2018-01-02', 'ticker': 'MGF', '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': 4.78000020980835, 'high': 4.860000133514404, 'open': 4.78000020980835, 'close': 4.860000133514404, 'ema_50': 4.838591133235229, 'rsi_14': 58.06456078607509, 'target': 4.809999942779541, 'volume': 188100.0, 'ema_200': 4.931751287233832, 'adj_close': 4.012362480163574, 'rsi_lag_1': 47.99994659403455, 'rsi_lag_2': 50.0, 'rsi_lag_3': 41.379316014739274, 'rsi_lag_4': 43.333301544007554, 'rsi_lag_5': 44.82752383786797, 'macd_lag_1': -0.014641001599397185, 'macd_lag_2': -0.015124546741326128, 'macd_lag_3': -0.016539937892391166, 'macd_lag_4': -0.018105910774042222, 'macd_lag_5': -0.017804941219210058, 'macd_12_26_9': -0.008511247391573384, 'macds_12_26_9': -0.01474699086299062}, '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': 4.809999942779541, '2018-01-04': 4.789999961853027, '2018-01-05': 4.769999980926514, '2018-01-08': 4.760000228881836, '2018-01-09': 4.75, '2018-01-10': 4.739999771118164, '2018-01-11': 4.739999771118164, '2018-01-12': 4.739999771118164, '2018-01-16': 4.710000038146973}, '1_month_later': {'2018-02-02': 4.739999771118164}, '3_months_later': {'2018-04-02': 4.639999866485596}, '6_months_later': {'2018-07-02': 4.5}, '12_months_later': {'2019-01-02': 4.510000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGU
{'date': '2018-01-02', 'ticker': 'MGU', '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/3320746-todays-energy-infrastructure-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 energy infrastructure 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': 25.59000015258789, 'high': 25.8700008392334, 'open': 25.59000015258789, 'close': 25.729999542236328, 'ema_50': 25.12941534869529, 'rsi_14': 65.21732820700466, 'target': 25.809999465942383, 'volume': 39600.0, 'ema_200': 24.513095214752894, 'adj_close': 21.492191314697266, 'rsi_lag_1': 72.685160247778, 'rsi_lag_2': 68.44913404459307, 'rsi_lag_3': 54.838706369503804, 'rsi_lag_4': 47.80220183293947, 'rsi_lag_5': 40.44944783409119, 'macd_lag_1': 0.08755933742918742, 'macd_lag_2': 0.028636653419965796, 'macd_lag_3': -0.014404669634860312, 'macd_lag_4': -0.042658970401316054, 'macd_lag_5': -0.06282835572063306, 'macd_12_26_9': 0.12873731096013685, 'macds_12_26_9': 0.018644734497244173}, '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': 25.809999465942383, '2018-01-04': 26.020000457763672, '2018-01-05': 26.13999938964844, '2018-01-08': 26.13999938964844, '2018-01-09': 25.780000686645508, '2018-01-10': 25.38999938964844, '2018-01-11': 25.3700008392334, '2018-01-12': 25.39999961853028, '2018-01-16': 25.61000061035156}, '1_month_later': {'2018-02-02': 24.6200008392334}, '3_months_later': {'2018-04-02': 21.920000076293945}, '6_months_later': {'2018-07-02': 22.479999542236328}, '12_months_later': {'2019-01-02': 18.90999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHN
{'date': '2018-01-02', 'ticker': 'MHN', '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': 13.390000343322754, 'high': 13.43000030517578, 'open': 13.390000343322754, 'close': 13.390000343322754, 'ema_50': 13.711167271490204, 'rsi_14': 27.71087382902131, 'target': 13.479999542236328, 'volume': 36700.0, 'ema_200': 13.913878763821808, 'adj_close': 12.062304496765137, 'rsi_lag_1': 25.000025915033888, 'rsi_lag_2': 23.469403643030503, 'rsi_lag_3': 30.107559960909597, 'rsi_lag_4': 28.571503427980872, 'rsi_lag_5': 33.673444562842775, 'macd_lag_1': -0.11067403976695189, 'macd_lag_2': -0.10926340294926007, 'macd_lag_3': -0.1068917395710951, 'macd_lag_4': -0.11249170276066423, 'macd_lag_5': -0.1149485309253997, 'macd_12_26_9': -0.1105179969344654, 'macds_12_26_9': -0.09889157397328567}, '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': 13.479999542236328, '2018-01-04': 13.539999961853027, '2018-01-05': 13.5, '2018-01-08': 13.460000038146973, '2018-01-09': 13.460000038146973, '2018-01-10': 13.420000076293944, '2018-01-11': 13.399999618530272, '2018-01-12': 13.350000381469728, '2018-01-16': 13.34000015258789}, '1_month_later': {'2018-02-02': 12.899999618530272}, '3_months_later': {'2018-04-02': 12.579999923706056}, '6_months_later': {'2018-07-02': 12.470000267028809}, '12_months_later': {'2019-01-02': 12.109999656677246}}
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.
MKC-V
{'date': '2018-01-02', 'ticker': 'MKC-V', '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': 100.20999908447266, 'high': 101.08999633789062, 'open': 101.08999633789062, 'close': 100.20999908447266, 'ema_50': 100.1575525286056, 'rsi_14': 41.60539069596315, 'target': 101.06999969482422, 'volume': 300.0, 'ema_200': 98.48518691982483, 'adj_close': 96.35367584228516, 'rsi_lag_1': 42.252643822771915, 'rsi_lag_2': 56.85089857744246, 'rsi_lag_3': 50.69205842171609, 'rsi_lag_4': 48.955721415232034, 'rsi_lag_5': 44.74122125202435, 'macd_lag_1': 0.6456514254398655, 'macd_lag_2': 0.8162343736532591, 'macd_lag_3': 0.6575784684123676, 'macd_lag_4': 0.6847836344566787, 'macd_lag_5': 0.6861290830844666, 'macd_12_26_9': 0.481511989271155, 'macds_12_26_9': 0.6840078249329988}, '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': 101.06999969482422, '2018-01-04': 102.33000183105467, '2018-01-05': 103.0, '2018-01-08': 103.1500015258789, '2018-01-09': 103.3000030517578, '2018-01-10': 101.3499984741211, '2018-01-11': 102.8499984741211, '2018-01-16': 100.6999969482422}, '1_month_later': {'2018-02-02': 106.87999725341795}, '3_months_later': {'2018-04-02': 103.97000122070312}, '6_months_later': {'2018-07-02': 115.27999877929688}, '12_months_later': {'2019-01-02': 136.0399932861328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MKC
{'date': '2018-01-02', 'ticker': 'MKC', '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/27-quotes-investing-greats-make-you-better-dividend-investor-2018-01-02', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nIndividual investors benefit when investing greats share their wisdom.\nWarren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports.\nIt\'s hard to overstate how much investors have to gain by studying these investors.\nThe returns generated by the investors covered in Invest Like The Best are simply remarkable.\nWarren Buffett: 19% CAGR over 50 years\nSeth Klarman: ~20% CAGR over 34 years\nBenjamin Graham: ~20% CAGR over 20 years\nPeter Lynch: 29% CAGR over 13 years\nJoel Greenblatt: 48% CAGR over 10 year\nThis article will provide actionable investing quotes from six of the world\'s greatest investors.\nWarren Buffett Investing Quotes\nWarren Buffett\'s $70+ billion fortune makes him one of the wealthiest men in the world. Warren Buffett\'s quotes are concise and filled with investing wisdom.\nWarren Buffett also stands out among the investors on this list because he is still actively investing today, despite being more than 80 years old. This means we can piggyback off of his investing success by studying the portfolio of his investment conglomerate Berkshire Hathaway.\nOver the years Warren Buffett has evolved from a strict value investor to an investor that looks for shareholder-friendly businesses with strong competitive advantages trading at fair or better prices. Warren Buffett\'s portfolio is loaded with dividend growth stocks like The Coca-Cola Co (NYSE: KO ).\nWarren Buffett\'s approach to investing is to buy excellent businesses and let them compound wealth over time.\n"Time is the friend of the wonderful company, the enemy of the mediocre."\nTime is the friend of the wonderful company because over time wonderful companies will continue to gain market share, grow earnings, and reward shareholders. For a mediocre business, time is the enemy. The mediocre business will slowly succumb to the competitive forces of free markets.\nBuffett also believes that wonderful companies can still make attractive investments when they are purchased at not-necessarily-wonderful prices. One of his most famous quotes illustrates this point nicely:\n"It\'s far better to buy a wonderful business at a fair price than a fair business at a wonderful price."\nTime + wonderful business = wealth.\nTime + fair business = mediocre results.\nWhen one buys a fair business at a wonderful price, they are relying on the stock market to generate their returns; hoping that the business\' valuation will rise. When one buys a wonderful business, they can sit back and let the business grow over time; increasing value on its own.\nSo what makes a wonderful business? Buffett believes that wonderful businesses are positioned to perform well regardless of future changes to consumer behavior, the economic environment, and the technological landscape. This has led to Buffett stating the following:\n"Our approach is very much profiting from lack of change rather than from change."\nBusinesses that must undergo continuous change to stay relevant will eventually lose pace with the market. Businesses that rarely have to change their products have a much lower risk of product obsolescence.\nWhat will the smartphone industry look like 20 years from now? I have no idea. Very few people (could anyone?) could have predicted the rise of Apple 20 years ago.\nOn the other hand, think about the spice industry . McCormick & Company, Incorporated (NYSE: MKC ) is the largest player in this industry. I find it very difficult to imagine that people\'s preferences for flavoring foods with spices will change much over the next 20 years - or the next 100 years.\nChanging industries are exciting, but they reduce the durability of a businesses\' competitive advantage. With that said, excitement is not necessary for strong investment returns. Investing is certainly a world where slow and steady wins the race.\n"I don\'t look to jump over 7-foot bars; I look around for 1 foot bars that I can step over."\nWarren Buffett\'s strategy of buying excellent businesses reduces risk and complexity. It isn\'t hard to see that Coca-Cola or American Express Company (NYSE: AXP ) have strong competitive advantages. It is orders of magnitude more difficult to examine a biopharmaceutical start-up\'s expected value. There is no reason to take chances on over-complicated analysis when you can buy easy-to-understand high-quality businesses. There are no bonus points for difficulty in investing.\nWarren Buffett\'s investment strategy matches well with dividend growth investing. While Warren Buffett does not require the businesses in which he invests to pay dividends, most of them do. All of Warren Buffett\'s top 5 holdings pay increasing dividends year-after-year - giving them a solid chance of eventually joining the Dividend Aristocrats (stocks with 25+ years of consecutive dividend increases). Coca-Cola, one of Buffett\'s largest position, is already an Aristocrat.\nBenjamin Graham Investing Quotes\nBenjamin Graham has been called "the father of Value Investing" and "the dean of Wall Street," and probably has had more intellectual influence than any other investor on this list. His two critically-acclaimed books Security Analysis and The Intelligent Investor introduced important concepts like Mr. Market and the margin of safety and have had a tremendous amount of influence on millions of investors worldwide.\nWarren Buffett has said the following about Graham\'s book The Intelligent Investor :\n"I read the first edition of this book early in 1950, when I was nineteen. I thought then that it was by far the best book about investing ever written. I still think it is."\nWhat differentiated Benjamin Graham from the other investors of his day? Well, Graham was one of the first investors to become laser-focused on price. Graham was not interested in just prices, but how they related to yardsticks of business value (such as earnings and book value).\nOverall, one of the defining charcteristics of Graham\'s research style was the desire to quantify every aspect of a company\'s characteristics. This can be seen from the beginning of The Intelligent Investor , where Graham writes:\n…we hope to implant in the reader a tendency to measure or quantify. For 99 issues out of 100 we could say that at some price they are cheap enough to buy and at some other price they would be so dear that they should be sold. The habit of relating what is paid to what is being offered is an invaluable trait in investment. In an article in a women\'s magazine many years ago we advised the readers to buy their stocks as they bought their groceries, not as they bought their perfume. The really dreadful losses of the past few years (and on many similar occasions before) were realized in those common-stock issues where the buyer forgot to ask "How much?"\nAs alluded to previously, Graham was also the creator of the concept of a "margin of safety." A margin of safety is the difference between an investor\'s purchase price and the intrinsic value of the investment in question. The larger a margin of safety, the better for the investor.\nGraham introduces the margin of safety with the following passage in The Intelligent Investor :\n"The margin-of-safety idea becomes much more evident when we apply it to the field of undervalued or bargain securities. We have here, by definition, a favorable difference between price on the one hand and indicated or appraised value on the other. That difference is the safety margin. It is available for absorbing the effect of miscalculations or worse than average luck. The buyer of bargain issues places particular emphasis on the ability of the investment to withstand adverse developments. For in most such cases he has no real enthusiasm about the company\'s prospects. True, if the prospects are definitely bad the investor will prefer to avoid the security no matter how low the price. But the field of undervalued issues is drawn from the many concerns-perhaps a majority of the total-for which the future appears neither distinctly promising nor distinctly unpromising. If these are bought on a bargain basis, even a moderate decline in the earning power need not prevent the investment from showing satisfactory results. The margin of safety will then have served its proper purpose. "\nOne of Graham\'s other grand contributions to the field of investing is the psychological concept of "Mr. Market," which was referenced in the introduction to this section.\nMr. Market is an analogy to help investors understand and endure the volatility that is inherent in the stock market. Graham explains Mr. Market as follows:\n"Imagine that in some private business you own a small share that cost you $1,000. One of your partners, named Mr. Market, is very obliging indeed. Every day he tells you what he thinks your interest is worth and furthermore offers either to buy you out or to sell you an additional interest on that basis. Sometimes his idea of value appears plausible and justified by business developments and prospects as you know them. Often, on the other hand, Mr. Market lets his enthusiasm or his fears run away with him, and the value he proposes seems to you a little short of silly.\nIf you are a prudent investor or a sensible businessman, will you let Mr. Market\'s daily communication determine your view of the value of a $1,000 interest in the enterprise? Only in case you agree with him, or in case you want to trade with him. You may be happy to sell out to him when he quotes you a ridiculously high price, and equally happy to buy from him when his price is low. But the rest of the time you will be wiser to form your own ideas of the value of your holdings, based on full reports from the company about its operations and financial position.\nThe true investor is in that very position when he owns a listed common stock. He can take advantage of the daily market price or leave it alone, as dictated by his own judgment and inclination. He must take cognizance of important price movements, for otherwise his judgment will have nothing to work on. Conceivably they may give him a warning signal which he will do well to heed-this in plain English means that he is to sell his shares because the price has gone down, foreboding worse things to come. In our view such signals are misleading at least as often as they are helpful. Basically, price fluctuations have only one significant meaning for the true investor. They provide him with an opportunity to buy wisely when prices fall sharply and to sell wisely when they advance a great deal. At other times he will do better if he forgets about the stock market and pays attention to his dividend returns and to the operating results of his companies."\nThe Mr. Market analogy helps investors remember that the price movements within the stock market can sometimes be highly irrational, and helps investors to weather - and even benefit from - the resulting volatility.\nJoel Greenblatt Investing Quotes\nJoel Greenblatt is a 60 year old value investor and author. He managed the hedge fund Gotham Capital from 1985 to 2006 and generated absurd annual returns of 40% a year. Joel Greenblatt\'s books include You Can Be a Stock Market Genius and The Little Book that Beats the Market .\nJoel Greenblatt now employs formula-based value investing. His strategy involves looking for businesses with high margins trading at a low price in relation to earnings. He currently has several mutual funds available (all with very high expense ratios ).\nRule/formula based investing has a distinct advantage. It eliminates bias and emotion from the investing process. As a formula-based investor, Joel Greenblatt recognizes the advantages of this approach.\n"Decisions to buy and sell stocks should be based solely on the investment merits."\nJoel Greenblatt, like all the investors discussed above, seeks to limit downside risk. His downside risk protection method is similar to that of Warren Buffett and Seth Klarman; Joel Greenblatt looks for a margin of safety. As mentioned, a margin of safety refers to the difference between the estimate of what you think a business is worth and what it is trading for on the stock market. The larger the discount on the market, the more margin for error you have in your value calculation.\n"One way to create an attractive risk/reward situation is to limit downside risk severely by investing in situations that have a large margin of safety."\nIn addition to the margin of safety, Joel Greenblatt also recommends investing in situations where you are both knowledgeable and confident.\n"It makes sense that if you limit your investments to those situations where you are knowledgeable and confident, and only those situations, your success rate will be very high."\nThe underlying value of businesses does not bounce around much from day-to-day. Stock prices, however do.\n"Prices fluctuate more than values-so therein lies opportunity."\nRapidly fluctuating stock prices create opportunities when price falls below value. Patient investors must have the discipline to both buy and hold positions where price falls below value.\n"Time is the currency of everyone\'s life."\nDividend growth investors prefer buying and holding high-quality businesses for the long run. Businesses that reliably pay increasing dividends year-after-year provide rising income for dividend growth investors. When funds are invested in high-quality businesses, little else must be done. This builds wealth while taking less time than other investment methods. Day trading, for example, requires constant attention on a daily basis. This reduces the time you have to pursue other, more rewarding non-investment activities.\nSeth Klarman Investing Quotes\nSeth Klarman is the 60-year-old founder of the Baupost Group hedge fund. Baupost Group has about $30 billion in assets under management.\nSeth Klarman is a risk-averse value investor. He wrote the preface for the 6thedition of Security Analysis . Seth Klarman\'s own book, Margin of Safetysells for over $1,000 .\nLike Warren Buffett, Seth Klarman prefers to invest for long periods of time. While he is not in the \'hold forever\' camp, Seth Klarman does advocate a long-term mindset.\n"The single greatest edge an investor can have is a long-term orientation."\nThe above Seth Klarman quote is incredibly powerful. It spells out in no uncertain terms how important investing for the long-run is. Having a long-term orientation prevents speculation by forcing investors to focus on business fundamentals rather than short-term price movement.\nIndeed, the ability to sell when you want to instead of when you have to is tremendously powerful.\n"The trick of successful investors is to sell when they want to, not when they have to."\nTo have a long-term orientation, one must not be forced to sell their stocks. Dividend stocks are unique in their ability to provide both current income while maintaining long-term growth prospects. The ultimate goal of building a dividend growth portfolio is to have dividend income fully cover all expenses. In this scenario, investors only have to sell when they want to, never because they have to.\nWe described Klarman as a risk-averse value investor in the introduction to this section. Klarman has a laser-sharp focus on downside protection and loss avoidance.\n"The avoidance of loss is the surest way to ensure a profitable outcome."\nTaking unnecessary risk will lead to large losses. Loss avoidance is critical for investing success. When investors focus on minimizing downside risk, the upside tends to take care of itself. Investing in businesses with strong competitive advantages trading at fair or better prices is perhaps the best way to avoid long-term losses.\nKlarman has implemented the heavily-quantified characteristics taught by Benjamin Graham in Security Analysis and The Intelligent Investor . With that said, he warns against being precise instead of being accurate .\n"Many investors insist on affixing exact values to their investments, seeking precision in an imprecise world, but business value cannot be precisely determined."\nInvesting would be extremely easy if there were a way to precisely determine the value of a business. Discounted cash flow analysis uses various inputs and estimates and produces an \'exact business value\'. Of course, this value is not \'real\', it is only a projection based on the various inputs used in the formula. investors would be wise to avoid trying to label businesses with an exact value as such a task is impossible.\nKlarman also recognizes the importance of understanding a company\'s real operations. Buying shares of a company whose business is incomprehensible is a surefire way to lose money in the stock market.\n"If you don\'t quickly comprehend what a company is doing, then management probably doesn\'t either."\nAs discussed in the Warren Buffett section above, investors don\'t get bonus points or extra return for degree of difficulty. If a business is exceptionally difficult to understand, then anyone\'s analysis will likely miss important details. Further, it is more difficult to manage a complex business. Simple business models are easier to manage, measure, and improve.\nPeter Lynch Investing Quotes\nPeter Lynch averaged an investment return of 29.2% between 1977 and 1990 when he ran the Magellan Fund. He has shared his investing wisdom in several books including One up on Wall Street and Beating the Street .\nPeter Lynch\'s investing philosophy focuses on buying fast-growing stocks (typically small-caps) for cheap. Peter Lynch pioneered the PEG ratio. The PEG stand for price-to-earnings-to-growth. It is the P/E ratio divided by the growth rate. A PEG ratio under 1 signals a \'buy\' for Peter Lynch.\nLike Warren Buffett and Seth Klarman, Peter Lynch likes simple stocks - maybe even more than the two previously mentioned investors. The two quotes below emphasize simplicity in investing.\n"The simpler it is, the better I like it."\n"If you\'re prepared to invest in a company, then you ought to be able to explain why in simple language that a fifth grader could understand, and quickly enough so the fifth grader won\'t get bored."\nThe \'5th grader\' test above is an excellent litmus test to see if you really understand what a business does. If a 5th grader can understand the business model, then the company is likely very focused on what it does best.\n"Go for a business that any idiot can run - because sooner or later, any idiot is probably going to run it."\nIn keeping with the simplicity narrative, Peter Lynch recommends investing in businesses that \'any idiot can run\'. This means businesses with strong competitive advantages that are very straightforward. It is an unfortunate truth that often times the CEO\'s and top-level executives are the best at climbing the corporate ladder, and not necessarily the best at running a business (this, of course, is not always the case). A fantastic business has a much better chance at \'weathering the storm\' of incompetent management versus a mediocre business.\n"Stocks aren\'t lottery tickets. There\'s a company attached to every share."\nMany investors forget that stocks are fractional ownership of a business. They are not random ticker symbol lottery tickets that bounce up and down in value. Just because the stock market allows you to buy and sell every day does not mean it is advisable to do so. If you own your own business or are in a partnership, you would never consider selling every day. Why would it be any different in with fractional ownership of a larger business?\n"Owning stocks is like having children - don\'t get involved with more than you can handle."\nPeter Lynch (and Warren Buffett and Seth Klarman) advocates running a relatively concentrated portfolio. There is no point in buying 100\'s of securities - it is impossible to track the business operations of all of them. Rather, investors should invest in businesses they know and understand well. Over diversifying leads to mistakes.\nPhil Fisher Investing Quotes\nPhil Fisher is the secretive investor who ran the family office Fisher & Co., which invested money on behalf of approximately a dozen wealthy families. His investment knowledge has been distilled to the public through his excellent book Common Stocks and Uncommon Profits .\nPhil Fisher stands out among the investors covered in this article because he is a devoted growth investor. He believed in buying companies that are growing far faster than the other companies in their peer group.\n"The greatest investment reward comes to those who by good luck or good sense find the occasional company that over the years can grow in sales and profits far more than industry as a whole."\nTwo other components of his investment style stand out: his long-term investing style and his contrarian nature. These components of Phil Fisher\'s investing style can be seen in the following passage from Common Stocks and Uncommon Profits :\n"In studying the investment record both of myself and others, two matters were significant influences in causing this book to be written. One, which I mention several times elsewhere, is the need for patience if big profits are to be made from investment. Put another way, it is often easier to tell what will happen to the price of a stock than how much time will elapse before it happens. The other is the inherently deceptive nature of the stock market. Doing what everybody else is doing at the moment, and therefore what you have an almost irresistible urge to do, is often the wrong thing to do at all."\nFisher also believed that every investor\'s first-hand experience as a consumer was tremendously valuable for finding investment opportunities. This approach, which he calls "scuttlebutt investing," is quite similar to Peter Lynch\'s research style.\n"Every time you shop in a store, eat a hamburger or buy new sunglasses you\'re getting valuable input. By browsing around you can see what\'s selling and what isn\'t."\nAbove all, though, Fisher\'s most iconic characteristic is his long-term orientation. This can be seen in Fisher\'s best-known quote, which is shown below.\n"If the job has been correctly done when a common stock is purchased, the time to sell it is-almost never."\nFinal Thoughts\nAll of the investors mentioned in this article have excellent investing records. The combined wisdom of these investors shows what works in investing. In summary, investors should look for easy to understand businesses with strong competitive advantages. These businesses should be held for the long-run, or until they no longer have competitive advantages.\nInvestors should look for undervalued businesses. An excellent business trading at the value of a mediocre business is undervalued. If you buy quality for a normal price, you get a bargain. The 8 Rules of Dividend Investing use many of the ideas of great investors to find high quality dividend stocks trading at fair or better prices suitable for long-term holding.\nCompare Brokers\nThe post 27 Quotes From Investing Greats to Make You a Better Dividend Investor appeared first on InvestorPlace .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\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': 'McCormick & Company, Incorporated (NYSE: MKC ) is the largest player in this industry. Warren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports. Graham introduces the margin of safety with the following passage in The Intelligent Investor : "The margin-of-safety idea becomes much more evident when we apply it to the field of undervalued or bargain securities.', 'news_luhn_summary': "McCormick & Company, Incorporated (NYSE: MKC ) is the largest player in this industry. Warren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports. Warren Buffett: 19% CAGR over 50 years Seth Klarman: ~20% CAGR over 34 years Benjamin Graham: ~20% CAGR over 20 years Peter Lynch: 29% CAGR over 13 years Joel Greenblatt: 48% CAGR over 10 year This article will provide actionable investing quotes from six of the world's greatest investors.", 'news_article_title': '27 Quotes From Investing Greats to Make You a Better Dividend Investor', 'news_lexrank_summary': 'McCormick & Company, Incorporated (NYSE: MKC ) is the largest player in this industry. Warren Buffett, Benjamin Graham, Joel Greenblatt, Seth Klarman, Peter Lynch, and Phil Fisher are all investing greats who have written books and/or shared their wisdom in annual reports. Stock prices, however do.', 'news_textrank_summary': "McCormick & Company, Incorporated (NYSE: MKC ) is the largest player in this industry. Warren Buffett: 19% CAGR over 50 years Seth Klarman: ~20% CAGR over 34 years Benjamin Graham: ~20% CAGR over 20 years Peter Lynch: 29% CAGR over 13 years Joel Greenblatt: 48% CAGR over 10 year This article will provide actionable investing quotes from six of the world's greatest investors. Over the years Warren Buffett has evolved from a strict value investor to an investor that looks for shareholder-friendly businesses with strong competitive advantages trading at fair or better prices."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 100.52999877929688, 'high': 102.31999969482422, 'open': 102.01000213623048, 'close': 101.2300033569336, 'ema_50': 100.38983189826061, 'rsi_14': 56.490005076963456, 'target': 101.47000122070312, 'volume': 868400.0, 'ema_200': 98.67420166336753, 'adj_close': 101.2300033569336, 'rsi_lag_1': 56.90606725659741, 'rsi_lag_2': 50.82235459312667, 'rsi_lag_3': 43.63102824659319, 'rsi_lag_4': 42.96300147614333, 'rsi_lag_5': 34.35207630126176, 'macd_lag_1': 0.5284218846256152, 'macd_lag_2': 0.5517302970491613, 'macd_lag_3': 0.5398557295072948, 'macd_lag_4': 0.528047078469541, 'macd_lag_5': 0.5175119455717692, 'macd_12_26_9': 0.44989336753188525, 'macds_12_26_9': 0.5557895444387208}, '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': 101.47000122070312, '2018-01-04': 102.11000061035156, '2018-01-05': 103.11000061035156, '2018-01-08': 103.22000122070312, '2018-01-09': 103.12000274658205, '2018-01-10': 101.58000183105467, '2018-01-11': 101.0, '2018-01-12': 101.01000213623048, '2018-01-16': 101.29000091552734}, '1_month_later': {'2018-02-02': 103.55999755859376}, '3_months_later': {'2018-04-02': 103.83000183105467}, '6_months_later': {'2018-07-02': 115.68000030517578}, '12_months_later': {'2019-01-02': 135.6199951171875}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MJCO
{'date': '2018-01-02', 'ticker': 'MJCO', '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': 5.349999904632568, 'high': 5.420000076293945, 'open': 5.369999885559082, 'close': 5.349999904632568, 'ema_50': 5.409296530565301, 'rsi_14': 43.00517776277263, 'target': 5.360000133514404, 'volume': 18700.0, 'ema_200': 5.2352929967384245, 'adj_close': 5.349999904632568, 'rsi_lag_1': 42.346930335031786, 'rsi_lag_2': 44.60783397083064, 'rsi_lag_3': 47.68518671822691, 'rsi_lag_4': 48.837215491669205, 'rsi_lag_5': 49.767447534030104, 'macd_lag_1': -0.053149610548357096, 'macd_lag_2': -0.05865790637570889, 'macd_lag_3': -0.06279892726281844, 'macd_lag_4': -0.059025490021198834, 'macd_lag_5': -0.056405226176618584, 'macd_12_26_9': -0.04982374066581308, 'macds_12_26_9': -0.05168035269277193}, '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': 5.360000133514404, '2018-01-04': 5.369999885559082, '2018-01-05': 5.320000171661377, '2018-01-08': 5.379000186920166, '2018-01-09': 5.300000190734863, '2018-01-10': 5.340000152587891, '2018-01-11': 5.389999866485596, '2018-01-12': 5.559999942779541, '2018-01-16': 5.510000228881836}, '1_month_later': {'2018-02-02': 5.730000019073486}, '3_months_later': {'2018-04-02': 4.940000057220459}, '6_months_later': {'2018-07-02': 6.150000095367432}, '12_months_later': {'2019-01-02': 7.190000057220459}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MITT
{'date': '2018-01-02', 'ticker': 'MITT', '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/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}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.670000076293945, 'high': 19.01000022888184, 'open': 19.0, 'close': 18.76000022888184, 'ema_50': 19.21050232137996, 'rsi_14': 39.64758560597852, 'target': 18.38999938964844, 'volume': 218000.0, 'ema_200': 18.683966948002485, 'adj_close': 14.895060539245604, 'rsi_lag_1': 43.90243675508702, 'rsi_lag_2': 47.87229293611806, 'rsi_lag_3': 54.54544403664412, 'rsi_lag_4': 57.9545183614993, 'rsi_lag_5': 53.16451264766882, 'macd_lag_1': 0.019553589215831835, 'macd_lag_2': 0.049358368278156206, 'macd_lag_3': 0.06631864471896165, 'macd_lag_4': 0.06052873942133985, 'macd_lag_5': 0.05124009169100319, 'macd_12_26_9': -0.02396358627990125, 'macds_12_26_9': 0.035986837530187436}, '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': 18.38999938964844, '2018-01-04': 18.440000534057617, '2018-01-05': 18.56999969482422, '2018-01-08': 18.56999969482422, '2018-01-09': 18.32999992370605, '2018-01-10': 18.3799991607666, '2018-01-11': 18.530000686645508, '2018-01-12': 18.479999542236328, '2018-01-16': 18.290000915527344}, '1_month_later': {'2018-02-02': 17.06999969482422}, '3_months_later': {'2018-04-02': 17.15999984741211}, '6_months_later': {'2018-07-02': 19.01000022888184}, '12_months_later': {'2019-01-02': 16.200000762939453}}
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.
MITK
{'date': '2018-01-02', 'ticker': 'MITK', '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': 8.800000190734863, 'high': 9.149999618530272, 'open': 9.0, 'close': 8.899999618530273, 'ema_50': 9.02004907715071, 'rsi_14': 57.73194457280277, 'target': 8.949999809265137, 'volume': 330200.0, 'ema_200': 8.738578606380317, 'adj_close': 8.899999618530273, 'rsi_lag_1': 59.25925178385181, 'rsi_lag_2': 50.0, 'rsi_lag_3': 53.76883868222197, 'rsi_lag_4': 53.76886445008131, 'rsi_lag_5': 61.30654542683701, 'macd_lag_1': -0.029855004657669326, 'macd_lag_2': -0.03900591163307254, 'macd_lag_3': -0.029754820878203248, 'macd_lag_4': -0.017514267647394277, 'macd_lag_5': -0.011817974653025587, 'macd_12_26_9': -0.026333881876213994, 'macds_12_26_9': -0.045778299004059275}, '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': 8.949999809265137, '2018-01-04': 9.0, '2018-01-05': 9.0, '2018-01-08': 9.100000381469728, '2018-01-09': 9.050000190734863, '2018-01-10': 8.899999618530273, '2018-01-11': 9.149999618530272, '2018-01-12': 9.399999618530272, '2018-01-16': 9.300000190734863}, '1_month_later': {'2018-02-02': 7.300000190734863}, '3_months_later': {'2018-04-02': 7.400000095367432}, '6_months_later': {'2018-07-02': 9.149999618530272}, '12_months_later': {'2019-01-02': 11.270000457763672}}
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.
MINI
{'date': '2018-01-02', 'ticker': 'MINI', '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': 34.099998474121094, 'high': 34.900001525878906, 'open': 34.75, 'close': 34.70000076293945, 'ema_50': 33.969475706205785, 'rsi_14': 68.23533424467445, 'target': 35.29999923706055, 'volume': 135600.0, 'ema_200': 32.19992453281167, 'adj_close': 31.990861892700195, 'rsi_lag_1': 54.54547556313189, 'rsi_lag_2': 55.67011039055525, 'rsi_lag_3': 53.061222900997514, 'rsi_lag_4': 49.50495722621948, 'rsi_lag_5': 43.8596350334188, 'macd_lag_1': 0.13165283411321127, 'macd_lag_2': 0.1251011909919839, 'macd_lag_3': 0.07928304999232694, 'macd_lag_4': 0.029830895754301423, 'macd_lag_5': -0.023540276773609037, 'macd_12_26_9': 0.1512400474584723, 'macds_12_26_9': 0.04911662514777131}, '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': 35.29999923706055, '2018-01-04': 35.849998474121094, '2018-01-05': 35.45000076293945, '2018-01-08': 36.0, '2018-01-09': 36.09999847412109, '2018-01-10': 36.400001525878906, '2018-01-11': 37.70000076293945, '2018-01-12': 37.54999923706055, '2018-01-16': 36.75}, '1_month_later': {'2018-02-02': 42.400001525878906}, '3_months_later': {'2018-04-02': 42.25}, '6_months_later': {'2018-07-02': 47.54999923706055}, '12_months_later': {'2019-01-02': 32.7400016784668}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MINDP
{'date': '2018-01-02', 'ticker': 'MINDP', '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': 23.0, 'high': 23.25, 'open': 23.0, 'close': 23.13800048828125, 'ema_50': 23.03979968697416, 'rsi_14': 52.09765181715012, 'target': 23.14999961853028, 'volume': 8000.0, 'ema_200': 23.169019499623367, 'adj_close': 18.110336303710938, 'rsi_lag_1': 48.2344859171056, 'rsi_lag_2': 38.71231137747497, 'rsi_lag_3': 50.742960790148636, 'rsi_lag_4': 52.137399245212784, 'rsi_lag_5': 51.545631960944846, 'macd_lag_1': 0.03810508532569301, 'macd_lag_2': 0.026167395109592206, 'macd_lag_3': 0.036004490214001095, 'macd_lag_4': 0.04090925736205264, 'macd_lag_5': 0.03944723839637376, 'macd_12_26_9': 0.038089296550758434, 'macds_12_26_9': 0.03886343555407769}, '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': 23.14999961853028, '2018-01-04': 23.14900016784668, '2018-01-05': 23.11899948120117, '2018-01-08': 23.100000381469727, '2018-01-09': 23.15999984741211, '2018-01-10': 23.200000762939453, '2018-01-11': 22.89999961853028, '2018-01-12': 22.8700008392334, '2018-01-16': 22.89999961853028}, '1_month_later': {'2018-02-02': 22.809999465942383}, '3_months_later': {'2018-04-02': 23.3700008392334}, '6_months_later': {'2018-07-02': 23.920000076293945}, '12_months_later': {'2019-01-02': 22.41699981689453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MHNC
{'date': '2018-01-02', 'ticker': 'MHNC', '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': 24.46999931335449, 'high': 24.739999771118164, 'open': 24.56999969482422, 'close': 24.709999084472656, 'ema_50': 25.066006987315358, 'rsi_14': 54.761854303031775, 'target': 24.5, 'volume': 10000.0, 'ema_200': 25.984496590917566, 'adj_close': 20.158077239990234, 'rsi_lag_1': 39.42313864369513, 'rsi_lag_2': 39.42306634241888, 'rsi_lag_3': 40.59414728477236, 'rsi_lag_4': 49.473673643527945, 'rsi_lag_5': 49.473673643527576, 'macd_lag_1': -0.16331032560956515, 'macd_lag_2': -0.16072278984499633, 'macd_lag_3': -0.1581367884179734, 'macd_lag_4': -0.1596633746226388, 'macd_lag_5': -0.17150755044854193, 'macd_12_26_9': -0.14114042593009302, 'macds_12_26_9': -0.18216586366756213}, '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': 24.5, '2018-01-04': 24.57999992370605, '2018-01-05': 24.549999237060547, '2018-01-08': 24.46999931335449, '2018-01-09': 24.600000381469727, '2018-01-10': 24.530000686645508, '2018-01-11': 24.64999961853028, '2018-01-12': 24.540000915527344, '2018-01-16': 24.43000030517578}, '1_month_later': {'2018-02-02': 22.11000061035156}, '3_months_later': {'2018-04-02': 19.239999771118164}, '6_months_later': {'2018-07-02': 22.799999237060547}, '12_months_later': {'2019-01-02': 23.549999237060547}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MIND
{'date': '2018-01-02', 'ticker': 'MIND', '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': 3.180000066757202, 'high': 3.3299999237060547, 'open': 3.309999942779541, 'close': 3.2799999713897705, 'ema_50': 3.6178587541497405, 'rsi_14': 17.8571327202946, 'target': 3.4200000762939453, 'volume': 5800.0, 'ema_200': 3.7512484013786636, 'adj_close': 3.2799999713897705, 'rsi_lag_1': 5.2631545925393795, 'rsi_lag_2': 22.222213812390933, 'rsi_lag_3': 24.56139323526652, 'rsi_lag_4': 23.333324061494494, 'rsi_lag_5': 37.499986030153266, 'macd_lag_1': -0.07710408898238441, 'macd_lag_2': -0.0437637702094027, 'macd_lag_3': -0.02399101953268845, 'macd_lag_4': -0.009604828612781446, 'macd_lag_5': 0.007878708094007258, 'macd_12_26_9': -0.09357182187115098, 'macds_12_26_9': -0.02725730345038205}, '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': 3.4200000762939453, '2018-01-04': 3.4800000190734863, '2018-01-05': 3.4600000381469727, '2018-01-08': 3.75, '2018-01-09': 3.7200000286102295, '2018-01-10': 3.7699999809265137, '2018-01-11': 3.819999933242798, '2018-01-12': 3.869999885559082, '2018-01-16': 3.880000114440918}, '1_month_later': {'2018-02-02': 3.680000066757202}, '3_months_later': {'2018-04-02': 3.380000114440918}, '6_months_later': {'2018-07-02': 4.03000020980835}, '12_months_later': {'2019-01-02': 3.200000047683716}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MIN
{'date': '2018-01-02', 'ticker': 'MIN', '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': 4.139999866485596, 'high': 4.170000076293945, 'open': 4.159999847412109, 'close': 4.170000076293945, 'ema_50': 4.171253081298995, 'rsi_14': 58.62072367447474, 'target': 4.159999847412109, 'volume': 720800.0, 'ema_200': 4.264732668275927, 'adj_close': 4.170000076293945, 'rsi_lag_1': 57.142857142857146, 'rsi_lag_2': 51.72409824178318, 'rsi_lag_3': 51.72409824178318, 'rsi_lag_4': 55.55551630962683, 'rsi_lag_5': 60.0, 'macd_lag_1': -0.0055833533039999494, 'macd_lag_2': -0.006647438041835763, 'macd_lag_3': -0.006890701976823621, 'macd_lag_4': -0.007100966825091426, 'macd_lag_5': -0.00930241613557925, 'macd_12_26_9': -0.0030906006485489357, 'macds_12_26_9': -0.0085318066170671}, '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': 4.159999847412109, '2018-01-04': 4.139999866485596, '2018-01-05': 4.150000095367432, '2018-01-08': 4.139999866485596, '2018-01-09': 4.130000114440918, '2018-01-10': 4.110000133514404, '2018-01-11': 4.110000133514404, '2018-01-12': 4.130000114440918, '2018-01-16': 4.059999942779541}, '1_month_later': {'2018-02-02': 3.9700000286102295}, '3_months_later': {'2018-04-02': 3.950000047683716}, '6_months_later': {'2018-07-02': 3.829999923706055}, '12_months_later': {'2019-01-02': 3.670000076293945}}
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.
MIME
{'date': '2018-01-02', 'ticker': 'MIME', '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': 28.13999938964844, 'high': 29.170000076293945, 'open': 28.96999931335449, 'close': 28.229999542236328, 'ema_50': 29.09802796762351, 'rsi_14': 51.66401673387219, 'target': 29.030000686645508, 'volume': 295800.0, 'ema_200': 26.814742828391708, 'adj_close': 28.229999542236328, 'rsi_lag_1': 49.468894896181254, 'rsi_lag_2': 55.929481938121825, 'rsi_lag_3': 62.78755067439826, 'rsi_lag_4': 54.50979179745916, 'rsi_lag_5': 53.907282225194294, 'macd_lag_1': -0.2080502201021801, 'macd_lag_2': -0.22208604878905902, 'macd_lag_3': -0.29582506528981867, 'macd_lag_4': -0.380549123082222, 'macd_lag_5': -0.43529789985720413, 'macd_12_26_9': -0.22978230324837057, 'macds_12_26_9': -0.33697133186945366}, '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': 29.030000686645508, '2018-01-04': 29.280000686645508, '2018-01-05': 31.559999465942383, '2018-01-08': 31.8700008392334, '2018-01-09': 32.77000045776367, '2018-01-10': 32.16999816894531, '2018-01-11': 32.75, '2018-01-12': 32.290000915527344, '2018-01-16': 32.029998779296875}, '1_month_later': {'2018-02-02': 31.020000457763672}, '3_months_later': {'2018-04-02': 34.81999969482422}, '6_months_later': {'2018-07-02': 41.29999923706055}, '12_months_later': {'2019-01-02': 32.97999954223633}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MIDU
{'date': '2018-01-02', 'ticker': 'MIDU', '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': 46.7599983215332, 'high': 47.68000030517578, 'open': 47.06999969482422, 'close': 47.59999847412109, 'ema_50': 44.688529953896314, 'rsi_14': 54.47679598366302, 'target': 47.90999984741211, 'volume': 145600.0, 'ema_200': 39.53305202208767, 'adj_close': 46.89362335205078, 'rsi_lag_1': 47.2594360290363, 'rsi_lag_2': 55.172418832995824, 'rsi_lag_3': 57.81249211958156, 'rsi_lag_4': 53.72460224481475, 'rsi_lag_5': 47.31610021348643, 'macd_lag_1': 0.6238300851346281, 'macd_lag_2': 0.6786285424997942, 'macd_lag_3': 0.6552094621728628, 'macd_lag_4': 0.6636425499410237, 'macd_lag_5': 0.6698440853757717, 'macd_12_26_9': 0.6671208333241125, 'macds_12_26_9': 0.6901372889054616}, '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': 47.90999984741211, '2018-01-04': 48.34000015258789, '2018-01-05': 48.93000030517578, '2018-01-08': 49.68999862670898, '2018-01-09': 49.400001525878906, '2018-01-10': 48.86000061035156, '2018-01-11': 50.79999923706055, '2018-01-12': 51.16999816894531, '2018-01-16': 50.11000061035156}, '1_month_later': {'2018-02-02': 47.25}, '3_months_later': {'2018-04-02': 40.66999816894531}, '6_months_later': {'2018-07-02': 48.34000015258789}, '12_months_later': {'2019-01-02': 27.82999992370605}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MICT
{'date': '2018-01-02', 'ticker': 'MICT', '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/18/01/10974436/mid-afternoon-market-update-dow-gains-60-points-net-element-shares-spike-higher', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Mid-Afternoon Market Update: Dow Gains 60 Points; Net Element Shares Spike Higher', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10973966/28-stocks-moving-in-tuesdays-mid-day-session', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "28 Stocks Moving In Tuesday's Mid-Day Session", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10973896/mid-day-market-update-nasdaq-up-over-1-merus-shares-plummet', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Mid-Day Market Update: NASDAQ Up Over 1%; Merus Shares Plummet', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10973091/mid-morning-market-update-markets-open-higehr-micronet-enertec-to-sell-enertec-s', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Mid-Morning Market Update: Markets Open Higehr; Micronet Enertec To Sell Enertec Systems', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10972336/benzinga-pros-4-stocks-to-watch-today', 'news_author': None, 'news_article': None, 'news_publisher': 'Jayson Derrick', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Benzinga Pro's 4 Stocks To Watch Today", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10971999/22-stocks-moving-in-tuesdays-pre-market-session', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "22 Stocks Moving In Tuesday's Pre-Market Session", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10971706/a-peek-into-the-markets-u-s-stock-futures-mixed-on-first-trading-day-of-2018', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'A Peek Into The Markets: U.S. Stock Futures Mixed On First Trading Day Of 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/m-a/18/01/10971508/dpw-holdings-to-acquire-enertec-from-micronet-enertec-technologies-for-5-2m-', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'DPW Holdings to Acquire Enertec from Micronet Enertec Technologies for $5.2M Cash', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320698-micronet-enertec-technologies-signs-definitive-agreement-sell-subsidiary-shares-plus-23?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Micronet Enertec Technologies signs definitive agreement to sell its subsidiary; shares +23%', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320690-midday-gainers-losers?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Midday Gainers / Losers', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320619-premarket-gainers-9-05?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Premarket Gainers as of 9:05 am', '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': 1.309999942779541, 'high': 1.7699999809265137, 'open': 1.7699999809265137, 'close': 1.3600000143051147, 'ema_50': 1.0003411231607837, 'rsi_14': 68.59956591641759, 'target': 1.2400000095367432, 'volume': 9802100.0, 'ema_200': 1.0480348478604546, 'adj_close': 1.3600000143051147, 'rsi_lag_1': 56.57895080820948, 'rsi_lag_2': 55.116963676191986, 'rsi_lag_3': 55.11696367619197, 'rsi_lag_4': 52.19298941215697, 'rsi_lag_5': 56.48734344348876, 'macd_lag_1': 0.039116017632646605, 'macd_lag_2': 0.037697522396811234, 'macd_lag_3': 0.03635685990810544, 'macd_lag_4': 0.036153221700011784, 'macd_lag_5': 0.03740380194765369, 'macd_12_26_9': 0.05892690762225583, 'macds_12_26_9': 0.04033193993963782}, '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': 1.2400000095367432, '2018-01-04': 1.2400000095367432, '2018-01-05': 1.1699999570846558, '2018-01-08': 1.149999976158142, '2018-01-09': 1.2000000476837158, '2018-01-10': 1.1699999570846558, '2018-01-11': 1.1610000133514404, '2018-01-12': 1.2000000476837158, '2018-01-16': 1.1799999475479126}, '1_month_later': {'2018-02-02': 1.0499999523162842}, '3_months_later': {'2018-04-02': 1.2799999713897705}, '6_months_later': {'2018-07-02': 1.2300000190734863}, '12_months_later': {'2019-01-02': 0.8100000023841858}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MIC
{'date': '2018-01-02', 'ticker': 'MIC', '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/617190/7-stocks-with-negative-performances-in-gurus-portfolios', 'news_author': None, 'news_article': None, 'news_publisher': 'GuruFocus', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "7 Stocks With Negative Performances in Gurus' Portfolios", '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': 64.18000030517578, 'high': 66.48999786376953, 'open': 64.55999755859375, 'close': 66.48999786376953, 'ema_50': 66.63514427751534, 'rsi_14': 56.64651749750776, 'target': 64.98999786376953, 'volume': 1039600.0, 'ema_200': 72.17033801578495, 'adj_close': 52.75636672973633, 'rsi_lag_1': 37.19901769124056, 'rsi_lag_2': 35.639328162812276, 'rsi_lag_3': 38.96616056667023, 'rsi_lag_4': 29.38845775905793, 'rsi_lag_5': 25.094968793377745, 'macd_lag_1': -0.6696179805429097, 'macd_lag_2': -0.6874356490826727, 'macd_lag_3': -0.7409058373944077, 'macd_lag_4': -0.7871763670598568, 'macd_lag_5': -0.7869298807494829, 'macd_12_26_9': -0.465349158875199, 'macds_12_26_9': -0.6852889101003896}, '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': 64.98999786376953, '2018-01-04': 65.19999694824219, '2018-01-05': 65.66999816894531, '2018-01-08': 66.0, '2018-01-09': 65.94000244140625, '2018-01-10': 65.33999633789062, '2018-01-11': 65.91999816894531, '2018-01-12': 64.98999786376953, '2018-01-16': 64.12000274658203}, '1_month_later': {'2018-02-02': 64.58000183105469}, '3_months_later': {'2018-04-02': 36.70000076293945}, '6_months_later': {'2018-07-02': 42.11000061035156}, '12_months_later': {'2019-01-02': 37.52000045776367}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MINC
{'date': '2018-01-02', 'ticker': 'MINC', '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': 48.34999847412109, 'high': 48.45000076293945, 'open': 48.400001525878906, 'close': 48.43999862670898, 'ema_50': 48.54984199288977, 'rsi_14': 43.74975164312842, 'target': 48.38999938964844, 'volume': 17700.0, 'ema_200': 48.66178629833399, 'adj_close': 45.17519760131836, 'rsi_lag_1': 38.63587102591484, 'rsi_lag_2': 33.33306841933816, 'rsi_lag_3': 37.777947322465906, 'rsi_lag_4': 46.1539213960132, 'rsi_lag_5': 51.35115629285187, 'macd_lag_1': -0.04737572870011775, 'macd_lag_2': -0.04317691204917651, 'macd_lag_3': -0.03617165642879172, 'macd_lag_4': -0.030777090197148027, 'macd_lag_5': -0.03057123691343122, 'macd_12_26_9': -0.04454148428168736, 'macds_12_26_9': -0.03894807154448295}, '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': 48.38999938964844, '2018-01-04': 48.369998931884766, '2018-01-05': 48.400001525878906, '2018-01-08': 48.400001525878906, '2018-01-09': 48.41999816894531, '2018-01-10': 48.400001525878906, '2018-01-11': 48.400001525878906, '2018-01-12': 48.43000030517578, '2018-01-16': 48.41999816894531}, '1_month_later': {'2018-02-02': 48.2400016784668}, '3_months_later': {'2018-04-02': 48.08000183105469}, '6_months_later': {'2018-07-02': 47.77999877929688}, '12_months_later': {'2019-01-02': 47.27000045776367}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MGEE
{'date': '2018-01-02', 'ticker': 'MGEE', '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': 61.97999954223633, 'high': 63.34999847412109, 'open': 63.34999847412109, 'close': 62.400001525878906, 'ema_50': 64.18101790594984, 'rsi_14': 47.945206821647496, 'target': 61.54999923706055, 'volume': 129600.0, 'ema_200': 64.04872936199396, 'adj_close': 59.29920959472656, 'rsi_lag_1': 48.27585526510502, 'rsi_lag_2': 48.695671211356256, 'rsi_lag_3': 46.351920790497104, 'rsi_lag_4': 38.725517695325486, 'rsi_lag_5': 36.07308608531399, 'macd_lag_1': -0.5522187660262574, 'macd_lag_2': -0.5992720157903619, 'macd_lag_3': -0.7320672450749157, 'macd_lag_4': -0.8705502819341007, 'macd_lag_5': -0.85136979528734, 'macd_12_26_9': -0.5649008053469231, 'macds_12_26_9': -0.6530638082400008}, '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': 61.54999923706055, '2018-01-04': 61.54999923706055, '2018-01-05': 61.45000076293945, '2018-01-08': 61.34999847412109, '2018-01-09': 59.900001525878906, '2018-01-10': 59.20000076293945, '2018-01-11': 59.70000076293945, '2018-01-12': 59.0, '2018-01-16': 59.04999923706055}, '1_month_later': {'2018-02-02': 58.34999847412109}, '3_months_later': {'2018-04-02': 55.20000076293945}, '6_months_later': {'2018-07-02': 64.05000305175781}, '12_months_later': {'2019-01-02': 58.18999862670898}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MELI
{'date': '2018-01-02', 'ticker': 'MELI', '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': 316.2699890136719, 'high': 322.6400146484375, 'open': 317.489990234375, 'close': 322.5799865722656, 'ema_50': 287.1509963736231, 'rsi_14': 70.38868625306364, 'target': 329.2799987792969, 'volume': 366900.0, 'ema_200': 255.8294814148723, 'adj_close': 322.5799865722656, 'rsi_lag_1': 71.8918125025134, 'rsi_lag_2': 73.79340024419463, 'rsi_lag_3': 76.83834379701085, 'rsi_lag_4': 77.07503430496071, 'rsi_lag_5': 75.25189313208583, 'macd_lag_1': 13.056339802752689, 'macd_lag_2': 13.875783125217197, 'macd_lag_3': 14.62720629301765, 'macd_lag_4': 15.02430051775957, 'macd_lag_5': 15.364530133217272, 'macd_12_26_9': 12.89732911499084, 'macds_12_26_9': 13.568394446275864}, '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': 329.2799987792969, '2018-01-04': 325.8800048828125, '2018-01-05': 330.8699951171875, '2018-01-08': 340.7900085449219, '2018-01-09': 337.6499938964844, '2018-01-10': 339.54998779296875, '2018-01-11': 342.0199890136719, '2018-01-12': 342.4700012207031, '2018-01-16': 339.8500061035156}, '1_month_later': {'2018-02-02': 368.3900146484375}, '3_months_later': {'2018-04-02': 347.20001220703125}, '6_months_later': {'2018-07-02': 295.70001220703125}, '12_months_later': {'2019-01-02': 298.010009765625}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MEIP
{'date': '2018-01-02', 'ticker': 'MEIP', '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': 2.059999942779541, 'high': 2.240000009536743, 'open': 2.150000095367432, 'close': 2.190000057220459, 'ema_50': 2.2533932605305487, 'rsi_14': 53.731336644620676, 'target': 2.150000095367432, 'volume': 155600.0, 'ema_200': 2.259031106533795, 'adj_close': 2.190000057220459, 'rsi_lag_1': 38.02816830464647, 'rsi_lag_2': 33.33333935400165, 'rsi_lag_3': 37.50000000000006, 'rsi_lag_4': 34.78261245145684, 'rsi_lag_5': 40.789469556466265, 'macd_lag_1': -0.07706245738537687, 'macd_lag_2': -0.08667182565534581, 'macd_lag_3': -0.08749438431143908, 'macd_lag_4': -0.09134434606754116, 'macd_lag_5': -0.09492965222071081, 'macd_12_26_9': -0.061476046057046485, 'macds_12_26_9': -0.07981755257226116}, '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': 2.25, '2018-01-05': 2.180000066757202, '2018-01-08': 2.200000047683716, '2018-01-09': 2.1700000762939453, '2018-01-10': 2.240000009536743, '2018-01-11': 2.380000114440918, '2018-01-12': 2.359999895095825, '2018-01-16': 2.190000057220459}, '1_month_later': {'2018-02-02': 2.1700000762939453}, '3_months_later': {'2018-04-02': 2.0199999809265137}, '6_months_later': {'2018-07-02': 4.010000228881836}, '12_months_later': {'2019-01-02': 2.630000114440918}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MEI
{'date': '2018-01-02', 'ticker': 'MEI', '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': 40.0, 'high': 40.95000076293945, 'open': 40.45000076293945, 'close': 40.5, 'ema_50': 42.905178155836, 'rsi_14': 47.00856317132088, 'target': 40.29999923706055, 'volume': 188000.0, 'ema_200': 41.88025019696533, 'adj_close': 39.13844680786133, 'rsi_lag_1': 34.55882229194634, 'rsi_lag_2': 43.44827404770738, 'rsi_lag_3': 26.785712461082454, 'rsi_lag_4': 26.126134485577907, 'rsi_lag_5': 26.3636410925983, 'macd_lag_1': -1.3437017400677647, 'macd_lag_2': -1.3831906163240646, 'macd_lag_3': -1.4491102424607263, 'macd_lag_4': -1.4968968063862391, 'macd_lag_5': -1.5259351316113907, 'macd_12_26_9': -1.2655413678302594, 'macds_12_26_9': -1.361495192738065}, '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': 40.29999923706055, '2018-01-04': 40.5, '2018-01-05': 41.25, '2018-01-08': 41.400001525878906, '2018-01-09': 41.25, '2018-01-10': 40.95000076293945, '2018-01-11': 41.29999923706055, '2018-01-12': 41.900001525878906, '2018-01-16': 42.0}, '1_month_later': {'2018-02-02': 40.45000076293945}, '3_months_later': {'2018-04-02': 38.650001525878906}, '6_months_later': {'2018-07-02': 40.5}, '12_months_later': {'2019-01-02': 23.90999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MEDP
{'date': '2018-01-02', 'ticker': 'MEDP', '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': 36.04999923706055, 'high': 37.15999984741211, 'open': 36.5099983215332, 'close': 37.13999938964844, 'ema_50': 35.332593768711035, 'rsi_14': 63.40137163047982, 'target': 37.27000045776367, 'volume': 213700.0, 'ema_200': 32.596667329729506, 'adj_close': 37.13999938964844, 'rsi_lag_1': 60.20708857102229, 'rsi_lag_2': 63.38881479433819, 'rsi_lag_3': 70.91153425073632, 'rsi_lag_4': 73.24840888139877, 'rsi_lag_5': 73.76640606310717, 'macd_lag_1': 0.5248921252404699, 'macd_lag_2': 0.5918196555576003, 'macd_lag_3': 0.6411442799274027, 'macd_lag_4': 0.6693201564150186, 'macd_lag_5': 0.6884200130201705, 'macd_12_26_9': 0.536673864753439, 'macds_12_26_9': 0.5338342311820024}, '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': 37.27000045776367, '2018-01-04': 36.84999847412109, '2018-01-05': 37.02999877929688, '2018-01-08': 36.810001373291016, '2018-01-09': 37.54999923706055, '2018-01-10': 37.59999847412109, '2018-01-11': 38.04999923706055, '2018-01-12': 37.09999847412109, '2018-01-16': 37.58000183105469}, '1_month_later': {'2018-02-02': 35.970001220703125}, '3_months_later': {'2018-04-02': 34.029998779296875}, '6_months_later': {'2018-07-02': 43.25}, '12_months_later': {'2019-01-02': 52.400001525878906}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MED
{'date': '2018-01-02', 'ticker': 'MED', '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': 69.87999725341797, 'high': 72.72000122070312, 'open': 69.87999725341797, 'close': 72.51000213623047, 'ema_50': 67.8588126681687, 'rsi_14': 47.37232060619511, 'target': 71.05999755859375, 'volume': 162100.0, 'ema_200': 55.916061374508836, 'adj_close': 67.45380401611328, 'rsi_lag_1': 36.23318710899358, 'rsi_lag_2': 45.32019673576973, 'rsi_lag_3': 68.24447531554117, 'rsi_lag_4': 67.078899516221, 'rsi_lag_5': 69.13306778614955, 'macd_lag_1': 1.075760092748851, 'macd_lag_2': 1.3185798593255242, 'macd_lag_3': 1.5635081882610962, 'macd_lag_4': 1.7149110741283664, 'macd_lag_5': 1.7691761845343592, 'macd_12_26_9': 1.0886422921626604, 'macds_12_26_9': 1.4599905998116522}, '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': 71.05999755859375, '2018-01-04': 70.56999969482422, '2018-01-05': 70.08999633789062, '2018-01-08': 70.58999633789062, '2018-01-09': 71.22000122070312, '2018-01-10': 71.37000274658203, '2018-01-11': 72.16000366210938, '2018-01-12': 72.8499984741211, '2018-01-16': 72.2699966430664}, '1_month_later': {'2018-02-02': 66.9000015258789}, '3_months_later': {'2018-04-02': 91.93000030517578}, '6_months_later': {'2018-07-02': 159.38999938964844}, '12_months_later': {'2019-01-02': 126.62999725341795}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MEC
{'date': '2018-01-02', 'ticker': 'MEC', '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': 0.1152999997138977, 'high': 0.1279000043869018, 'open': 0.1279000043869018, 'close': 0.119499996304512, 'ema_50': 1021.2080790880981, 'rsi_14': 72.02797119907716, 'target': 0.1185000017285347, 'volume': 838552.0, 'ema_200': 2235.1489141866714, 'adj_close': 0.119499996304512, 'rsi_lag_1': 56.66666703919569, 'rsi_lag_2': 0.0032690799588266373, 'rsi_lag_3': 50.000096152382646, 'rsi_lag_4': 33.33365384492191, 'rsi_lag_5': 32.91149815728534, 'macd_lag_1': -445.9062340352815, 'macd_lag_2': -467.34419176909734, 'macd_lag_3': -487.9090877599809, 'macd_lag_4': -507.0605137300181, 'macd_lag_5': -524.1282535864439, 'macd_12_26_9': -424.02301661985086, 'macds_12_26_9': -467.23513756065245}, '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': 0.1185000017285347, '2018-01-04': 0.1159999966621398, '2018-01-05': 0.1190000027418136, '2018-01-08': 0.1150000020861625, '2018-01-09': 0.1174999997019767, '2018-01-10': 0.1190000027418136, '2018-01-11': 0.1220000013709068, '2018-01-12': 0.1230000033974647, '2018-01-16': 0.1220000013709068}, '1_month_later': {'2018-02-02': 0.1185000017285347}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MEAR
{'date': '2018-01-02', 'ticker': 'MEAR', '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': 49.81100082397461, 'high': 49.86000061035156, 'open': 49.84000015258789, 'close': 49.858001708984375, 'ema_50': 49.91743714500858, 'rsi_14': 47.64029392237843, 'target': 49.85499954223633, 'volume': 3800.0, 'ema_200': 49.9978460921322, 'adj_close': 48.09616470336914, 'rsi_lag_1': 50.349460070851855, 'rsi_lag_2': 45.569601916056634, 'rsi_lag_3': 41.09571860809038, 'rsi_lag_4': 45.205472293639346, 'rsi_lag_5': 44.44456218243856, 'macd_lag_1': -0.03659314087350651, 'macd_lag_2': -0.037736686749269666, 'macd_lag_3': -0.043229390012498925, 'macd_lag_4': -0.04044763369570603, 'macd_lag_5': -0.03936319303512903, 'macd_12_26_9': -0.031849739212418626, 'macds_12_26_9': -0.03592135731517052}, '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': 49.85499954223633, '2018-01-04': 49.77999877929688, '2018-01-05': 49.80799865722656, '2018-01-08': 49.81999969482422, '2018-01-09': 49.81999969482422, '2018-01-10': 49.810001373291016, '2018-01-11': 49.81700134277344, '2018-01-12': 49.83399963378906, '2018-01-16': 49.84999847412109}, '1_month_later': {'2018-02-02': 49.81999969482422}, '3_months_later': {'2018-04-02': 49.68000030517578}, '6_months_later': {'2018-07-02': 49.96699905395508}, '12_months_later': {'2019-01-02': 49.880001068115234}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MDYV
{'date': '2018-01-02', 'ticker': 'MDYV', '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': 51.60499954223633, 'high': 51.92499923706055, 'open': 51.63999938964844, 'close': 51.89500045776367, 'ema_50': 50.752703257301626, 'rsi_14': 54.11585738160784, 'target': 51.90499877929688, 'volume': 108000.0, 'ema_200': 48.8644832640866, 'adj_close': 49.12334442138672, 'rsi_lag_1': 45.61403273948948, 'rsi_lag_2': 53.55191332770047, 'rsi_lag_3': 55.72914528069218, 'rsi_lag_4': 52.97031074136265, 'rsi_lag_5': 43.338173856705495, 'macd_lag_1': 0.23442315413760184, 'macd_lag_2': 0.2521239116821832, 'macd_lag_3': 0.243049102688758, 'macd_lag_4': 0.24676759026949213, 'macd_lag_5': 0.23876073393239494, 'macd_12_26_9': 0.2557754707917468, 'macds_12_26_9': 0.2625499316238922}, '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': 51.90499877929688, '2018-01-04': 52.0, '2018-01-05': 52.09999847412109, '2018-01-08': 52.35499954223633, '2018-01-09': 52.15999984741211, '2018-01-10': 51.959999084472656, '2018-01-11': 52.72999954223633, '2018-01-12': 52.84000015258789, '2018-01-16': 52.400001525878906}, '1_month_later': {'2018-02-02': 50.9900016784668}, '3_months_later': {'2018-04-02': 48.459999084472656}, '6_months_later': {'2018-07-02': 51.970001220703125}, '12_months_later': {'2019-01-02': 44.45000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MDYG
{'date': '2018-01-02', 'ticker': 'MDYG', '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': 51.97999954223633, 'high': 52.4033317565918, 'open': 52.060001373291016, 'close': 52.4033317565918, 'ema_50': 51.391174610819085, 'rsi_14': 51.381850125008434, 'target': 52.52333450317383, 'volume': 940500.0, 'ema_200': 48.831880501939416, 'adj_close': 50.97126388549805, 'rsi_lag_1': 36.19629855860049, 'rsi_lag_2': 48.23149528067563, 'rsi_lag_3': 53.602341592117696, 'rsi_lag_4': 48.313034560938036, 'rsi_lag_5': 42.51776081245105, 'macd_lag_1': 0.134950090981647, 'macd_lag_2': 0.1628781920283373, 'macd_lag_3': 0.1642526130725983, 'macd_lag_4': 0.17889023942652926, 'macd_lag_5': 0.1997228869547456, 'macd_12_26_9': 0.1575328916504546, 'macds_12_26_9': 0.20266314947345643}, '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': 52.52333450317383, '2018-01-04': 52.76666641235352, '2018-01-05': 53.11666488647461, '2018-01-08': 53.34333419799805, '2018-01-09': 53.380001068115234, '2018-01-10': 53.06333160400391, '2018-01-11': 53.79999923706055, '2018-01-12': 53.9466667175293, '2018-01-16': 53.630001068115234}, '1_month_later': {'2018-02-02': 53.220001220703125}, '3_months_later': {'2018-04-02': 51.150001525878906}, '6_months_later': {'2018-07-02': 54.06999969482422}, '12_months_later': {'2019-01-02': 45.43999862670898}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MDWD
{'date': '2018-01-02', 'ticker': 'MDWD', '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': 4.494999885559082, 'high': 4.699999809265137, 'open': 4.5, 'close': 4.550000190734863, 'ema_50': 4.786275587528656, 'rsi_14': 41.176516786866706, 'target': 4.599999904632568, 'volume': 38300.0, 'ema_200': 5.619596276517006, 'adj_close': 4.550000190734863, 'rsi_lag_1': 44.44443267070742, 'rsi_lag_2': 38.09525107038473, 'rsi_lag_3': 45.83334161174766, 'rsi_lag_4': 44.00000305175432, 'rsi_lag_5': 40.00000762938871, 'macd_lag_1': -0.08665285208697604, 'macd_lag_2': -0.08404854550331908, 'macd_lag_3': -0.08459290749495274, 'macd_lag_4': -0.08405726905525679, 'macd_lag_5': -0.08215094844233217, 'macd_12_26_9': -0.07972852793029617, 'macds_12_26_9': -0.0768727798182742}, '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': 4.599999904632568, '2018-01-04': 4.699999809265137, '2018-01-05': 4.775000095367432, '2018-01-08': 4.699999809265137, '2018-01-09': 4.699999809265137, '2018-01-10': 4.675000190734863, '2018-01-11': 4.599999904632568, '2018-01-12': 4.599999904632568, '2018-01-16': 4.599999904632568}, '1_month_later': {'2018-02-02': 4.349999904632568}, '3_months_later': {'2018-04-02': 5.25}, '6_months_later': {'2018-07-02': 7.099999904632568}, '12_months_later': {'2019-01-02': 4.260000228881836}}
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.
MDT
{'date': '2018-01-02', 'ticker': 'MDT', '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/18/01/10972344/bank-of-america-upgrades-medtronic-to-buy', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bank of America Upgrades Medtronic to Buy', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/article/4134809-victory-formation-long-short-portfolio-update-year-end-2017?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Victory Formation Long/Short Portfolio Update - Year End 2017', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://seekingalpha.com/news/3320549-premarket-analyst-action-healthcare?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Premarket analyst action - healthcare', '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': 81.94999694824219, 'high': 82.69000244140625, 'open': 82.16000366210938, 'close': 82.20999908447266, 'ema_50': 81.03542363879795, 'rsi_14': 56.11980123858324, 'target': 83.91999816894531, 'volume': 4783500.0, 'ema_200': 81.346273482494, 'adj_close': 82.20999908447266, 'rsi_lag_1': 47.507792789634486, 'rsi_lag_2': 56.08211289317537, 'rsi_lag_3': 51.900599308670174, 'rsi_lag_4': 53.85696125597082, 'rsi_lag_5': 60.29591888571337, 'macd_lag_1': 0.19115913343586044, 'macd_lag_2': 0.28673015899953214, 'macd_lag_3': 0.34447056582104096, 'macd_lag_4': 0.3703936137393953, 'macd_lag_5': 0.4276206719181772, 'macd_12_26_9': 0.23057026107539969, 'macds_12_26_9': 0.35322972014175114}, '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': 83.91999816894531, '2018-01-04': 84.12000274658203, '2018-01-05': 85.54000091552734, '2018-01-08': 85.51000213623047, '2018-01-09': 85.87999725341797, '2018-01-10': 85.48999786376953, '2018-01-11': 85.7300033569336, '2018-01-12': 85.44999694824219, '2018-01-16': 85.31999969482422}, '1_month_later': {'2018-02-02': 84.44999694824219}, '3_months_later': {'2018-04-02': 77.4800033569336}, '6_months_later': {'2018-07-02': 86.02999877929688}, '12_months_later': {'2019-01-02': 87.91999816894531}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MDRX
{'date': '2018-01-02', 'ticker': 'MDRX', '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': 14.510000228881836, 'high': 15.050000190734863, 'open': 14.579999923706056, 'close': 14.979999542236328, 'ema_50': 14.080644815405247, 'rsi_14': 66.66665174218015, 'target': 15.109999656677246, 'volume': 1967200.0, 'ema_200': 13.224685805167455, 'adj_close': 14.979999542236328, 'rsi_lag_1': 54.09837859640957, 'rsi_lag_2': 60.38646408216174, 'rsi_lag_3': 63.92696330746666, 'rsi_lag_4': 66.66668159115994, 'rsi_lag_5': 58.66668531632152, 'macd_lag_1': 0.22312676458012604, 'macd_lag_2': 0.23985470744555215, 'macd_lag_3': 0.2556805365418402, 'macd_lag_4': 0.26910644432568276, 'macd_lag_5': 0.2741830624749806, 'macd_12_26_9': 0.24178001385570447, 'macds_12_26_9': 0.2482437332651827}, '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': 15.109999656677246, '2018-01-04': 15.18000030517578, '2018-01-05': 15.350000381469728, '2018-01-08': 15.350000381469728, '2018-01-09': 15.600000381469728, '2018-01-10': 15.09000015258789, '2018-01-11': 15.9399995803833, '2018-01-12': 16.030000686645508, '2018-01-16': 15.279999732971191}, '1_month_later': {'2018-02-02': 14.510000228881836}, '3_months_later': {'2018-04-02': 12.0600004196167}, '6_months_later': {'2018-07-02': 12.079999923706056}, '12_months_later': {'2019-01-02': 9.779999732971191}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
MDP
{'date': '2018-01-02', 'ticker': 'MDP', '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': 64.9000015258789, 'high': 66.44999694824219, 'open': 66.1500015258789, 'close': 65.19999694824219, 'ema_50': 63.94305637167962, 'rsi_14': 19.724725691615504, 'target': 65.1500015258789, 'volume': 407500.0, 'ema_200': 59.00048158435357, 'adj_close': 58.20794677734375, 'rsi_lag_1': 22.548998341726914, 'rsi_lag_2': 28.205128205128204, 'rsi_lag_3': 39.06250620881815, 'rsi_lag_4': 46.74554289707627, 'rsi_lag_5': 35.66880095168119, 'macd_lag_1': 1.3551622345977847, 'macd_lag_2': 1.6952131910129395, 'macd_lag_3': 2.012948477689662, 'macd_lag_4': 2.2721239285557147, 'macd_lag_5': 2.4324225840625076, 'macd_12_26_9': 1.0054903461334277, 'macds_12_26_9': 2.0763608116638292}, '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': 65.1500015258789, '2018-01-04': 65.5999984741211, '2018-01-05': 65.19999694824219, '2018-01-08': 64.94999694824219, '2018-01-09': 65.9000015258789, '2018-01-10': 65.44999694824219, '2018-01-11': 67.30000305175781, '2018-01-12': 67.19999694824219, '2018-01-16': 67.1500015258789}, '1_month_later': {'2018-02-02': 57.84999847412109}, '3_months_later': {'2018-04-02': 52.70000076293945}, '6_months_later': {'2018-07-02': 52.54999923706055}, '12_months_later': {'2019-01-02': 51.59000015258789}}
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.