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Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: Comcast LAST_PRICE: 37.9 PX_VOLUME: 57634240.0 VOLATILITY_10D: 20.254 VOLATILITY_30D: 18.81 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0023746701846964
Predicted 2_DAY_RETURN: -0.0153034300791556
Predicted 7_DAY_RETURN: -0.0248021108179418 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @NascarChuck336: Walmart VASTLY carries Chinese products, OBVIOUSLY their prices are going up due to tariffs. @Walmart might want to con…
" STOCK: Walmart DATE: 21/09/2018 | 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 -0.03125. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Walmart 1_DAY_RETURN: -0.0015641293013556 2_DAY_RETURN: -0.0068821689259646 3_DAY_RETURN: -0.0049009384775808 7_DAY_RETURN: -0.013660062565172 | 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: Walmart LAST_PRICE: 95.9 PX_VOLUME: 9530133.0 VOLATILITY_10D: 8.758 VOLATILITY_30D: 29.727 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: -0.03125 | Predicted 1_DAY_RETURN: -0.0015641293013556
Predicted 2_DAY_RETURN: -0.0068821689259646
Predicted 7_DAY_RETURN: -0.013660062565172 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@mrz_v1 @tim_cook @Apple @cultofmac @UPS @UPSHelp Cousin had an 8:30am pickup appointment at the Apple store in… https://t.co/t2NwJ4fok9" 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: 21/09/2018 DATE: 217.66 | 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: 21/09/2018 1_DAY_RETURN: 0.0032619682072958 2_DAY_RETURN: 0.0026647064228614 3_DAY_RETURN: 0.0283929063677295 7_DAY_RETURN: 96246748.0 | 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: 21/09/2018 LAST_PRICE: 0.0108885417623817 PX_VOLUME: 27.839 VOLATILITY_10D: 19.836 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: 0.0032619682072958
Predicted 2_DAY_RETURN: 0.0026647064228614
Predicted 7_DAY_RETURN: 96246748.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @KarinKster4: @IvankaTrump @POTUS @Walmart Ivanka, you are a Walmart Girl for sure!
underpayments?
As her China workers.
Do not tru…
" STOCK: Walmart DATE: 21/09/2018 | 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 0.625. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Walmart 1_DAY_RETURN: -0.0015641293013556 2_DAY_RETURN: -0.0068821689259646 3_DAY_RETURN: -0.0049009384775808 7_DAY_RETURN: -0.013660062565172 | 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: Walmart LAST_PRICE: 95.9 PX_VOLUME: 9530133.0 VOLATILITY_10D: 8.758 VOLATILITY_30D: 29.727 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.625 | Predicted 1_DAY_RETURN: -0.0015641293013556
Predicted 2_DAY_RETURN: -0.0068821689259646
Predicted 7_DAY_RETURN: -0.013660062565172 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @rockstar_ginax: Not sure why Expedia called me 7 times waking me up last night ... at 11:30pm. Unacceptable @Expedia" 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: "Expedia" STOCK: 21/09/2018 DATE: 133.73 | 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 @Expedia. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 21/09/2018 1_DAY_RETURN: -0.0071038659986539 2_DAY_RETURN: -0.0228071487325206 3_DAY_RETURN: -0.0298362371943466 7_DAY_RETURN: 2440124.0 | 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: 21/09/2018 LAST_PRICE: 0.0052344275779557 PX_VOLUME: 15.334 VOLATILITY_10D: 21.077 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.125 TEXTBLOB_POLARITY: @Expedia | Predicted 1_DAY_RETURN: -0.0071038659986539
Predicted 2_DAY_RETURN: -0.0228071487325206
Predicted 7_DAY_RETURN: 2440124.0 |
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 BUTTERCUP The Unicorn Disney Pixar TOY STORY 3 JUMBO Stuffed Animal Toy 17" #ToyFactory https://t.co/vEeQjxOtEg via @eBay
" STOCK: Disney DATE: 21/09/2018 | 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: Disney 1_DAY_RETURN: 0.0110507246376811 2_DAY_RETURN: -0.0055253623188405 3_DAY_RETURN: -0.0078804347826087 7_DAY_RETURN: -0.0103260869565217 | 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: Disney LAST_PRICE: 110.4 PX_VOLUME: 25753718.0 VOLATILITY_10D: 15.975 VOLATILITY_30D: 10.466 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0110507246376811
Predicted 2_DAY_RETURN: -0.0055253623188405
Predicted 7_DAY_RETURN: -0.0103260869565217 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@UPS @AppleSupport iPhone delivery delayed by late UPS flight. I’m requesting concession from @UPS for delayed shipping. How can you help?" 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: "UPS" STOCK: 21/09/2018 DATE: 118.49 | 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 -0.3 and the TextBlob polarity score is @UPS. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 21/09/2018 1_DAY_RETURN: -0.0020254873829014 2_DAY_RETURN: -0.0021098826905224 3_DAY_RETURN: 0.0160351084479703 7_DAY_RETURN: 4348507.0 | 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: 21/09/2018 LAST_PRICE: 0.0053169043801165 PX_VOLUME: 18.144 VOLATILITY_10D: 14.879 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.3 TEXTBLOB_POLARITY: @UPS | Predicted 1_DAY_RETURN: -0.0020254873829014
Predicted 2_DAY_RETURN: -0.0021098826905224
Predicted 7_DAY_RETURN: 4348507.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Walmart: As the storm continues along the East Coast, here’s how you can help—donate to the Walmart 2018 Hurricane Relief Fund, online…
" STOCK: Walmart DATE: 21/09/2018 | 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: Walmart 1_DAY_RETURN: -0.0015641293013556 2_DAY_RETURN: -0.0068821689259646 3_DAY_RETURN: -0.0049009384775808 7_DAY_RETURN: -0.013660062565172 | 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: Walmart LAST_PRICE: 95.9 PX_VOLUME: 9530133.0 VOLATILITY_10D: 8.758 VOLATILITY_30D: 29.727 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0015641293013556
Predicted 2_DAY_RETURN: -0.0068821689259646
Predicted 7_DAY_RETURN: -0.013660062565172 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@stanimal98 @TMobile @Costco No stock at Costco all across the country..." 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: "Costco" STOCK: 21/09/2018 DATE: 234.76 | 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: 21/09/2018 1_DAY_RETURN: -0.0038762991991821 2_DAY_RETURN: -0.0017464644743567 3_DAY_RETURN: 0.0026409950587834 7_DAY_RETURN: 3718002.0 | 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: 21/09/2018 LAST_PRICE: -0.0035781223377066 PX_VOLUME: 17.058 VOLATILITY_10D: 13.687 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @TMobile | Predicted 1_DAY_RETURN: -0.0038762991991821
Predicted 2_DAY_RETURN: -0.0017464644743567
Predicted 7_DAY_RETURN: 3718002.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Where my Apple Watch Series 4 at @UPS and @Apple ??? https://t.co/GVSgRWJDXu" 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: 21/09/2018 DATE: 217.66 | 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: 21/09/2018 1_DAY_RETURN: 0.0032619682072958 2_DAY_RETURN: 0.0026647064228614 3_DAY_RETURN: 0.0283929063677295 7_DAY_RETURN: 96246748.0 | 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: 21/09/2018 LAST_PRICE: 0.0108885417623817 PX_VOLUME: 27.839 VOLATILITY_10D: 19.836 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: 0.0032619682072958
Predicted 2_DAY_RETURN: 0.0026647064228614
Predicted 7_DAY_RETURN: 96246748.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@JohnTOCradio @getongab Use @DuckDuckGo instead. @Google = Goolag
Then do a DDG search of "Google China"
" STOCK: Google DATE: 21/09/2018 | 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: Google 1_DAY_RETURN: 0.0165938641094768 2_DAY_RETURN: 0.0018342831791967 3_DAY_RETURN: -0.0042743063850117 7_DAY_RETURN: 0.0049994881070198 | 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: Google LAST_PRICE: 1172.12 PX_VOLUME: 4561119.0 VOLATILITY_10D: 20.526 VOLATILITY_30D: 17.930999999999994 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0165938641094768
Predicted 2_DAY_RETURN: 0.0018342831791967
Predicted 7_DAY_RETURN: 0.0049994881070198 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@IvankaTrump @POTUS @Walmart How much corporate welfare are we giving Walmart who refuses to pay a living wage despite crazy profits?" 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: "Walmart" STOCK: 21/09/2018 DATE: 95.9 | 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 -0.3 and the TextBlob polarity score is @Walmart. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 21/09/2018 1_DAY_RETURN: -0.0068821689259646 2_DAY_RETURN: -0.0049009384775808 3_DAY_RETURN: -0.013660062565172 7_DAY_RETURN: 9530133.0 | 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: 21/09/2018 LAST_PRICE: -0.0015641293013556 PX_VOLUME: 8.758 VOLATILITY_10D: 29.727 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.3 TEXTBLOB_POLARITY: @Walmart | Predicted 1_DAY_RETURN: -0.0068821689259646
Predicted 2_DAY_RETURN: -0.0049009384775808
Predicted 7_DAY_RETURN: 9530133.0 |
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: Use Apple Pay in Chicago this September to get exclusive offers. It’s easy and secure." 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: 21/09/2018 DATE: 217.66 | 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 @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: 21/09/2018 1_DAY_RETURN: 0.0032619682072958 2_DAY_RETURN: 0.0026647064228614 3_DAY_RETURN: 0.0283929063677295 7_DAY_RETURN: 96246748.0 | 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: 21/09/2018 LAST_PRICE: 0.0108885417623817 PX_VOLUME: 27.839 VOLATILITY_10D: 19.836 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.1 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: 0.0032619682072958
Predicted 2_DAY_RETURN: 0.0026647064228614
Predicted 7_DAY_RETURN: 96246748.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @PRFTDigital: @Adobe recently rewrote the Commerce Integration Framework to allow the Adobe Marketing Cloud to integrate with @Magento,…
" STOCK: Adobe DATE: 21/09/2018 | 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: Adobe 1_DAY_RETURN: 0.0209291628334865 2_DAY_RETURN: 0.0153327200245323 3_DAY_RETURN: 0.037986813860779 7_DAY_RETURN: 0.0529362158846979 | 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: Adobe LAST_PRICE: 260.88 PX_VOLUME: 6186497.0 VOLATILITY_10D: 26.343000000000004 VOLATILITY_30D: 24.938 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0209291628334865
Predicted 2_DAY_RETURN: 0.0153327200245323
Predicted 7_DAY_RETURN: 0.0529362158846979 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Theatregleek1: If you’re not watching @Atypical on Netflix, do yourself a favour and watch Atypical on @netflix. Joyous stuff. https://…
" STOCK: Netflix DATE: 21/09/2018 | 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: Netflix 1_DAY_RETURN: 0.0115451701320635 2_DAY_RETURN: 0.0159749716215841 3_DAY_RETURN: 0.0178853235139399 7_DAY_RETURN: 0.009330269387303 | 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: Netflix LAST_PRICE: 361.19 PX_VOLUME: 11930568.0 VOLATILITY_10D: 44.094 VOLATILITY_30D: 41.762 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0115451701320635
Predicted 2_DAY_RETURN: 0.0159749716215841
Predicted 7_DAY_RETURN: 0.009330269387303 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@MHernandezWFAA @IvankaTrump @Walmart This Walmart? https://t.co/jHY5K6HvAC" 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: "Walmart" STOCK: 22/09/2018 DATE: 95.9 | 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 @Walmart. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 22/09/2018 1_DAY_RETURN: -0.0015641293013556 2_DAY_RETURN: -0.0068821689259646 3_DAY_RETURN: -0.013660062565172 7_DAY_RETURN: 9530133.0 | 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: 22/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 8.758 VOLATILITY_10D: 29.727 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Walmart | Predicted 1_DAY_RETURN: -0.0015641293013556
Predicted 2_DAY_RETURN: -0.0068821689259646
Predicted 7_DAY_RETURN: 9530133.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @8649love: Check out Disney Little Einsteins 15" Plush June Doll Purple Baby #Disney https://t.co/wtxaR81EYu via @eBay
" STOCK: Disney DATE: 22/09/2018 | 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 -0.1875. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Disney 1_DAY_RETURN: 0.0 2_DAY_RETURN: 0.0110507246376811 3_DAY_RETURN: -0.0055253623188405 7_DAY_RETURN: -0.0103260869565217 | 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: Disney LAST_PRICE: 110.4 PX_VOLUME: 25753718.0 VOLATILITY_10D: 15.975 VOLATILITY_30D: 10.466 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: -0.1875 | Predicted 1_DAY_RETURN: 0.0
Predicted 2_DAY_RETURN: 0.0110507246376811
Predicted 7_DAY_RETURN: -0.0103260869565217 |
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: PayPal ends business dealings with Alex Jones's Infowars https://t.co/wWU4qblMfX https://t.co/wEI7MBsznD" 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: "PayPal" STOCK: 22/09/2018 DATE: 90.62 | 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 @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: 22/09/2018 1_DAY_RETURN: -0.0002207018318253 2_DAY_RETURN: -0.0144559699845508 3_DAY_RETURN: 0.0017656146546015 7_DAY_RETURN: 25379398.0 | 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: 22/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 22.653 VOLATILITY_10D: 24.101 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: -0.0002207018318253
Predicted 2_DAY_RETURN: -0.0144559699845508
Predicted 7_DAY_RETURN: 25379398.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@WhittyHuton91 @netflix Its trending now and its all over Facebook as well! @Netflix cant stop #blackgirlmagic! #NappilyEverAfter" 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: "Facebook" STOCK: 22/09/2018 DATE: 162.93 | 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 @netflix. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 22/09/2018 1_DAY_RETURN: 0.0189651997790462 2_DAY_RETURN: 0.0007978886638433 3_DAY_RETURN: -0.0037439391149574 7_DAY_RETURN: 45994800.0 | 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: 22/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 24.339 VOLATILITY_10D: 21.958 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @netflix | Predicted 1_DAY_RETURN: 0.0189651997790462
Predicted 2_DAY_RETURN: 0.0007978886638433
Predicted 7_DAY_RETURN: 45994800.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@HerbertHistory @AuntiKackSews @netflix Julie and Julia is really good, I don't know if it's on Netflix tho
" STOCK: Netflix DATE: 22/09/2018 | 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 0.7. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Netflix 1_DAY_RETURN: 0.0 2_DAY_RETURN: 0.0115451701320635 3_DAY_RETURN: 0.0159749716215841 7_DAY_RETURN: 0.009330269387303 | 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: Netflix LAST_PRICE: 361.19 PX_VOLUME: 11930568.0 VOLATILITY_10D: 44.094 VOLATILITY_30D: 41.762 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.7 | Predicted 1_DAY_RETURN: 0.0
Predicted 2_DAY_RETURN: 0.0115451701320635
Predicted 7_DAY_RETURN: 0.009330269387303 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @ATT: For just $49.99, get the Samsung Galaxy Express Prime 3! No contract, credit check or activation fee. Hurry, offer ends soon!
" STOCK: Samsung DATE: 22/09/2018 | 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: Samsung 1_DAY_RETURN: 0.0 2_DAY_RETURN: -0.0031645569620253 3_DAY_RETURN: -0.0263713080168776 7_DAY_RETURN: -0.0327004219409282 | 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: Samsung LAST_PRICE: 47400.0 PX_VOLUME: 14476906.0 VOLATILITY_10D: 30.334 VOLATILITY_30D: 26.138 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0
Predicted 2_DAY_RETURN: -0.0031645569620253
Predicted 7_DAY_RETURN: -0.0327004219409282 |
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: Toshiba 55LF621U19 55-inch 4K Ultra HD Smar... by Toshiba for $429.99 https://t.co/hubCjIcZGb 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: 22/09/2018 DATE: 1915.01 | 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: 22/09/2018 1_DAY_RETURN: 0.0152949592952517 2_DAY_RETURN: 0.0059581934297993 3_DAY_RETURN: 0.0288144709427105 7_DAY_RETURN: 6855898.0 | 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: 22/09/2018 LAST_PRICE: 0.0 PX_VOLUME: 27.813 VOLATILITY_10D: 22.493 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: 0.0152949592952517
Predicted 2_DAY_RETURN: 0.0059581934297993
Predicted 7_DAY_RETURN: 6855898.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @TheHalimaB: My Nike Pro Hijab got delivered today! Yaaaaaaaass! Thank you @Nike
I'll be trying it out at the games tonight #JustDoIt #f…
" STOCK: Nike DATE: 22/09/2018 | 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: 0.0 2_DAY_RETURN: -0.0021040327293979 3_DAY_RETURN: -0.013091759205143 7_DAY_RETURN: -0.0240794856808883 | 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: 85.55 PX_VOLUME: 13852693.0 VOLATILITY_10D: 15.071 VOLATILITY_30D: 19.13 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0
Predicted 2_DAY_RETURN: -0.0021040327293979
Predicted 7_DAY_RETURN: -0.0240794856808883 |
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