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Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @BDSmovement: ACT: On Saturday at 9am NY/ 2pm UK/ 4pm Palestine, tweet @HSBC & @HSBC_UK to #StopArmingIsrael. HSBC must divest from Elbi…
" STOCK: HSBC DATE: 14/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: HSBC 1_DAY_RETURN: -0.0033414337788577 2_DAY_RETURN: -0.0094167679222356 3_DAY_RETURN: -0.011543134872418 7_DAY_RETURN: -0.0050121506682866 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: HSBC LAST_PRICE: 658.4 PX_VOLUME: 18315618.0 VOLATILITY_10D: 11.587 VOLATILITY_30D: 12.026 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0033414337788577
Predicted 2_DAY_RETURN: -0.0094167679222356
Predicted 7_DAY_RETURN: -0.0050121506682866 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@Bmw2163Heart @_L_o_r_i_ @Nike @nikestore @NikeRunning @nikefootball Boycott Nike, Boycott NFL
" STOCK: Nike DATE: 14/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Nike 1_DAY_RETURN: -0.0002395496466642 2_DAY_RETURN: -0.0058689663432745 3_DAY_RETURN: -0.0103006348065636 7_DAY_RETURN: -0.0382081686429512 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Nike LAST_PRICE: 83.49 PX_VOLUME: 4884358.0 VOLATILITY_10D: 23.117 VOLATILITY_30D: 18.114 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0002395496466642
Predicted 2_DAY_RETURN: -0.0058689663432745
Predicted 7_DAY_RETURN: -0.0382081686429512 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Just saw this on Amazon: MIZANI Scalp Care Pyrithione Zinc Antidandr... by MIZANI for $28.00 https://t.co/V2KGmojfgJ via @amazon" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Amazon" STOCK: 14/09/2018 DATE: 1970.19 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @amazon. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 14/09/2018 1_DAY_RETURN: 0.0100548678046279 2_DAY_RETURN: 0.0086083068130485 3_DAY_RETURN: -0.0091970825148844 7_DAY_RETURN: 3642030.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 14/09/2018 LAST_PRICE: 0.0099888843208014 PX_VOLUME: 23.601 VOLATILITY_10D: 19.372 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: 0.0100548678046279
Predicted 2_DAY_RETURN: 0.0086083068130485
Predicted 7_DAY_RETURN: 3642030.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Check out Sony Playstation 1 PS1 Console System SCPH-7501 Dual Shock *Complete* in Box #Sony https://t.co/bqQFW7tlnz via @eBay" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Sony" STOCK: 14/09/2018 DATE: 6630.0 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.1 and the TextBlob polarity score is @eBay. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 14/09/2018 1_DAY_RETURN: -0.0419306184012066 2_DAY_RETURN: -0.0444947209653092 3_DAY_RETURN: -0.0603318250377073 7_DAY_RETURN: 9555000.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 14/09/2018 LAST_PRICE: -0.0355957767722473 PX_VOLUME: 21.709 VOLATILITY_10D: 20.477 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.1 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0419306184012066
Predicted 2_DAY_RETURN: -0.0444947209653092
Predicted 7_DAY_RETURN: 9555000.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Reuters: WATCH: Starbucks opens a branch run entirely by a staff aged over 55 to promote labor inclusion https://t.co/qdE703P4IT" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Starbucks" STOCK: 14/09/2018 DATE: 54.75 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -0.05 and the TextBlob polarity score is @Reuters. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 14/09/2018 1_DAY_RETURN: 0.0040182648401826 2_DAY_RETURN: 0.0067579908675798 3_DAY_RETURN: 0.0020091324200913 7_DAY_RETURN: 6827670.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 14/09/2018 LAST_PRICE: 0.0025570776255707 PX_VOLUME: 7.891 VOLATILITY_10D: 11.511 VOLATILITY_30D: 1.0 LSTM_POLARITY: -0.05 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: 0.0040182648401826
Predicted 2_DAY_RETURN: 0.0067579908675798
Predicted 7_DAY_RETURN: 6827670.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@TMobile For th Samsung Note 9!! @JohnLegere j 🙌 I need it" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Samsung" STOCK: 14/09/2018 DATE: 45850.0 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @TMobile. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 14/09/2018 1_DAY_RETURN: -0.0283533260632497 2_DAY_RETURN: -0.0174482006543075 3_DAY_RETURN: -0.0207197382769901 7_DAY_RETURN: 12446344.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 14/09/2018 LAST_PRICE: -0.0392584514721919 PX_VOLUME: 32.88 VOLATILITY_10D: 26.92 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @TMobile | Predicted 1_DAY_RETURN: -0.0283533260632497
Predicted 2_DAY_RETURN: -0.0174482006543075
Predicted 7_DAY_RETURN: 12446344.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @careygillam: Next cancer claim #Rounduptrial set for Feb. 5 in St. Louis City - plaintiff Jeff Hall suing Monsanto @Bayer - see schedu…" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Next" STOCK: 14/09/2018 DATE: 5350.0 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @Bayer. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 14/09/2018 1_DAY_RETURN: 0.0220560747663551 2_DAY_RETURN: 0.0138317757009345 3_DAY_RETURN: 0.0183177570093457 7_DAY_RETURN: 268593.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 14/09/2018 LAST_PRICE: 0.0082242990654205 PX_VOLUME: 14.282 VOLATILITY_10D: 15.157 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Bayer | Predicted 1_DAY_RETURN: 0.0220560747663551
Predicted 2_DAY_RETURN: 0.0138317757009345
Predicted 7_DAY_RETURN: 268593.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Apple Cut Outs, Book... https://t.co/9a7gIfe5qn via @amazon #naturecuts #confetti #cutout #teacher #classroom… https://t.co/WN2PnrH2gV
" STOCK: Apple DATE: 14/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0114814152966404
Predicted 2_DAY_RETURN: -0.0123749106504646
Predicted 7_DAY_RETURN: -0.0113473909935667 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Jillibean557: Watch as @Google CEO breaks down in tears after @HillaryClinton loses to @realDonaldTrump Google is o biased it’s sickeni…" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Google" STOCK: 14/09/2018 DATE: 1177.98 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -0.2277777777777778 and the TextBlob polarity score is @Google. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 14/09/2018 1_DAY_RETURN: -0.0054160512063024 2_DAY_RETURN: 0.0101954192770675 3_DAY_RETURN: -0.0003310752304793 7_DAY_RETURN: 1208767.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 14/09/2018 LAST_PRICE: 0.0035314691251125 PX_VOLUME: 16.637 VOLATILITY_10D: 16.840999999999998 VOLATILITY_30D: 1.0 LSTM_POLARITY: -0.2277777777777778 TEXTBLOB_POLARITY: @Google | Predicted 1_DAY_RETURN: -0.0054160512063024
Predicted 2_DAY_RETURN: 0.0101954192770675
Predicted 7_DAY_RETURN: 1208767.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @BMW: Unlimited off-road performance and outstanding efficiency. The all-new BMW X5 xDrive45e iPerformance: https://t.co/rVktEBLBCa. htt…" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "BMW" STOCK: 14/09/2018 DATE: 82.47 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.5 and the TextBlob polarity score is @BMW. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 14/09/2018 1_DAY_RETURN: -0.0169758700133382 2_DAY_RETURN: -0.0212198375166727 3_DAY_RETURN: -0.0195222505153389 7_DAY_RETURN: 1400162.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 14/09/2018 LAST_PRICE: 0.0023038680732387 PX_VOLUME: 13.991 VOLATILITY_10D: 15.594 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.5 TEXTBLOB_POLARITY: @BMW | Predicted 1_DAY_RETURN: -0.0169758700133382
Predicted 2_DAY_RETURN: -0.0212198375166727
Predicted 7_DAY_RETURN: 1400162.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Apple: Introducing Apple Watch Series 4. Fundamentally redesigned and re-engineered to help you stay even more active, healthy, and con…
" STOCK: Apple DATE: 14/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Apple 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: 4.4674767691167376e-05 7_DAY_RETURN: -0.0113473909935667 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0114814152966404
Predicted 2_DAY_RETURN: -0.0123749106504646
Predicted 7_DAY_RETURN: -0.0113473909935667 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@bluechrism @eBay Happy Birthday Chris, hope eBay sales go well and I expect you can then buy some new gadgets.
" STOCK: eBay DATE: 14/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 1 and the TextBlob polarity score is 0.4681818181818182. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: eBay 1_DAY_RETURN: 0.0099706744868034 2_DAY_RETURN: 0.0046920821114368 3_DAY_RETURN: 0.0002932551319647 7_DAY_RETURN: -0.0032258064516128 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: eBay LAST_PRICE: 34.1 PX_VOLUME: 5376353.0 VOLATILITY_10D: 18.239 VOLATILITY_30D: 14.535 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.4681818181818182 | Predicted 1_DAY_RETURN: 0.0099706744868034
Predicted 2_DAY_RETURN: 0.0046920821114368
Predicted 7_DAY_RETURN: -0.0032258064516128 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Build A Bear Disney Princess Collection Pink Bear With Crown Sings Birthday Song https://t.co/7p2cqWoEbd via @eBay" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Disney" STOCK: 15/09/2018 DATE: 109.26 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -0.1 and the TextBlob polarity score is @eBay. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 15/09/2018 1_DAY_RETURN: 0.0129049972542558 2_DAY_RETURN: 0.0018304960644333 3_DAY_RETURN: 0.015650741350906 7_DAY_RETURN: 6012443.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 15/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 13.534 VOLATILITY_10D: 12.518 VOLATILITY_30D: 1.0 LSTM_POLARITY: -0.1 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: 0.0129049972542558
Predicted 2_DAY_RETURN: 0.0018304960644333
Predicted 7_DAY_RETURN: 6012443.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Reuters: WATCH: Starbucks opens its first branch operated entirely by staff members over age 55 https://t.co/Y6OqWeoRya" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Starbucks" STOCK: 15/09/2018 DATE: 54.75 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.125 and the TextBlob polarity score is @Reuters. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 15/09/2018 1_DAY_RETURN: 0.0025570776255707 2_DAY_RETURN: 0.0040182648401826 3_DAY_RETURN: 0.0020091324200913 7_DAY_RETURN: 6827670.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 15/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 7.891 VOLATILITY_10D: 11.511 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.125 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: 0.0025570776255707
Predicted 2_DAY_RETURN: 0.0040182648401826
Predicted 7_DAY_RETURN: 6827670.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Reuters: WATCH: Starbucks opens its first branch operated entirely by staff members over age 55 https://t.co/Y6OqWeoRya" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Starbucks" STOCK: 15/09/2018 DATE: 54.75 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.125 and the TextBlob polarity score is @Reuters. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 15/09/2018 1_DAY_RETURN: 0.0025570776255707 2_DAY_RETURN: 0.0040182648401826 3_DAY_RETURN: 0.0020091324200913 7_DAY_RETURN: 6827670.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 15/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 7.891 VOLATILITY_10D: 11.511 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.125 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: 0.0025570776255707
Predicted 2_DAY_RETURN: 0.0040182648401826
Predicted 7_DAY_RETURN: 6827670.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @blackrock: On 9/25, tune in as BlackRock bond experts discuss what the changing fixed income landscape could mean for your practice. ht…
" STOCK: BlackRock DATE: 15/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is -0.10625. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: BlackRock 1_DAY_RETURN: 0.0 2_DAY_RETURN: -0.0148720749485358 3_DAY_RETURN: -0.012708482124102 7_DAY_RETURN: -0.0097046590765869 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: BlackRock LAST_PRICE: 476.06 PX_VOLUME: 416701.0 VOLATILITY_10D: 13.186 VOLATILITY_30D: 14.525 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: -0.10625 | Predicted 1_DAY_RETURN: 0.0
Predicted 2_DAY_RETURN: -0.0148720749485358
Predicted 7_DAY_RETURN: -0.0097046590765869 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Forgamers0071: Apple — Apple’s big news in 108 seconds https://t.co/ff1wLZUP2U via @YouTube @Forgamers0071 @Apple https://t.co/ZUTzbPwy…" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Apple" STOCK: 15/09/2018 DATE: 223.84 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @Apple. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 15/09/2018 1_DAY_RETURN: 0.0114814152966404 2_DAY_RETURN: -0.0123749106504646 3_DAY_RETURN: -0.0113473909935667 7_DAY_RETURN: 31999289.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 15/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 25.688 VOLATILITY_10D: 17.88 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: 0.0114814152966404
Predicted 2_DAY_RETURN: -0.0123749106504646
Predicted 7_DAY_RETURN: 31999289.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Check out Nike Dunk Hi https://t.co/9kBZ7JQt0Q @eBay #nike #dunk" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Nike" STOCK: 15/09/2018 DATE: 83.49 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @eBay. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 15/09/2018 1_DAY_RETURN: -0.0002395496466642 2_DAY_RETURN: -0.0058689663432745 3_DAY_RETURN: -0.0382081686429512 7_DAY_RETURN: 4884358.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 15/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 23.117 VOLATILITY_10D: 18.114 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0002395496466642
Predicted 2_DAY_RETURN: -0.0058689663432745
Predicted 7_DAY_RETURN: 4884358.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Reuters: WATCH: Starbucks opens its first branch operated entirely by staff members over age 55 https://t.co/Y6OqWeoRya" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Starbucks" STOCK: 15/09/2018 DATE: 54.75 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.125 and the TextBlob polarity score is @Reuters. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 15/09/2018 1_DAY_RETURN: 0.0025570776255707 2_DAY_RETURN: 0.0040182648401826 3_DAY_RETURN: 0.0020091324200913 7_DAY_RETURN: 6827670.0 | The stock shows a consistent positive return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: 15/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 7.891 VOLATILITY_10D: 11.511 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.125 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: 0.0025570776255707
Predicted 2_DAY_RETURN: 0.0040182648401826
Predicted 7_DAY_RETURN: 6827670.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Apple: Chegaram os novos iPhone XS, iPhone XS Max, iPhone XR e Apple Watch Series 4. #AppleEvent
" STOCK: Apple DATE: 15/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Apple 1_DAY_RETURN: 0.0 2_DAY_RETURN: 0.0114814152966404 3_DAY_RETURN: -0.0123749106504646 7_DAY_RETURN: -0.0113473909935667 | The stock shows a consistent negative return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Apple LAST_PRICE: 223.84 PX_VOLUME: 31999289.0 VOLATILITY_10D: 25.688 VOLATILITY_30D: 17.88 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0
Predicted 2_DAY_RETURN: 0.0114814152966404
Predicted 7_DAY_RETURN: -0.0113473909935667 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" STOCK: Apple DATE: 15/09/2018 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -1 and the TextBlob polarity score is 0.0. |
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