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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 @Reuters: ICYMI: First Starbucks branch to be staffed by senior citizens opens in Mexico City https://t.co/8oULiQMSAv" 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: 13/09/2018 DATE: 54.89 | 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 0.25 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: 13/09/2018 1_DAY_RETURN: 0.004190198578976 2_DAY_RETURN: 0.001457460375296 3_DAY_RETURN: -0.0123884131900163 7_DAY_RETURN: 8566607.0 | 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: 13/09/2018 LAST_PRICE: 0.001457460375296 PX_VOLUME: 7.439 VOLATILITY_10D: 11.739 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.25 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: 0.004190198578976
Predicted 2_DAY_RETURN: 0.001457460375296
Predicted 7_DAY_RETURN: 8566607.0 |
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: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" STOCK: Apple DATE: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @BethPaintings: Check out Vtg 80's/90's Pepsi Embroidered Red/Blue Snapback Hat NWOT #Unbranded https://t.co/BPw0LDR1yd 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: "Pepsi" STOCK: 13/09/2018 DATE: 114.99 | 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: 13/09/2018 1_DAY_RETURN: -0.0144360379163405 2_DAY_RETURN: -0.0123488999043395 3_DAY_RETURN: -0.0129576484911731 7_DAY_RETURN: 3808143.0 | 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: 13/09/2018 LAST_PRICE: -0.0099139055570049 PX_VOLUME: 13.916 VOLATILITY_10D: 14.83 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0144360379163405
Predicted 2_DAY_RETURN: -0.0123488999043395
Predicted 7_DAY_RETURN: 3808143.0 |
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: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent
" STOCK: Apple DATE: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@ZacksJerryRig @Apple I told myself this iPhone X will be my last Apple phone" 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: 13/09/2018 DATE: 226.41 | 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: 13/09/2018 1_DAY_RETURN: -0.0113069210723908 2_DAY_RETURN: -0.0356874696347333 3_DAY_RETURN: -0.0146194956053177 7_DAY_RETURN: 41706377.0 | 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: 13/09/2018 LAST_PRICE: -0.0235855306744401 PX_VOLUME: 25.87 VOLATILITY_10D: 17.349 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: -0.0113069210723908
Predicted 2_DAY_RETURN: -0.0356874696347333
Predicted 7_DAY_RETURN: 41706377.0 |
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: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" STOCK: Apple DATE: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @PSCupdates: TWITTER STORM: Saturday 2pm tell @HSBC to #StopArmingIsrael during the national day of action.
HSBC must divest from Israe…
" STOCK: HSBC DATE: 13/09/2018 | 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: -0.0060957025297165 2_DAY_RETURN: -0.0082291984151174 3_DAY_RETURN: -0.0048765620237733 7_DAY_RETURN: 0.0064004876562022 | 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: HSBC LAST_PRICE: 656.2 PX_VOLUME: 23747850.0 VOLATILITY_10D: 12.817 VOLATILITY_30D: 13.239 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0060957025297165
Predicted 2_DAY_RETURN: -0.0082291984151174
Predicted 7_DAY_RETURN: 0.0064004876562022 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: President Trump fires back at JPMorgan CEO Jamie Dimon, who said he could beat the president in a race for the White House htt…
" STOCK: JPMorgan DATE: 13/09/2018 | 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: JPMorgan 1_DAY_RETURN: -0.003875968992248 2_DAY_RETURN: 0.008016208597604 3_DAY_RETURN: 0.0016737138830161 7_DAY_RETURN: 0.0051092318534178 | 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: JPMorgan LAST_PRICE: 113.52 PX_VOLUME: 12470769.0 VOLATILITY_10D: 9.864 VOLATILITY_30D: 11.495 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.003875968992248
Predicted 2_DAY_RETURN: 0.008016208597604
Predicted 7_DAY_RETURN: 0.0051092318534178 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @LibertyRomford: We’re celebrating @Disney opening in The Liberty!
To enter our #competition to #WIN a Disney bundle, simply follow Th…
" STOCK: Disney DATE: 13/09/2018 | 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: -0.0109334056203127 2_DAY_RETURN: -0.0096683834824252 3_DAY_RETURN: 9.035872413486144e-05 7_DAY_RETURN: -0.0037047076895273 | 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: 110.67 PX_VOLUME: 5119351.0 VOLATILITY_10D: 12.162 VOLATILITY_30D: 12.621 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0109334056203127
Predicted 2_DAY_RETURN: -0.0096683834824252
Predicted 7_DAY_RETURN: -0.0037047076895273 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: Myanmar's Aung San Suu Kyi says jailed Reuters journalists can appeal their seven-year sentence, their jailing had nothing to…
" STOCK: Reuters DATE: 13/09/2018 | 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: Reuters 1_DAY_RETURN: -0.009204315107052 2_DAY_RETURN: -0.0234454415067466 3_DAY_RETURN: -0.0203779995583838 7_DAY_RETURN: -0.0148995721097516 | 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: Reuters LAST_PRICE: 50.2699 PX_VOLUME: 3010440.0 VOLATILITY_10D: 11.703 VOLATILITY_30D: 17.1 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.009204315107052
Predicted 2_DAY_RETURN: -0.0234454415067466
Predicted 7_DAY_RETURN: -0.0148995721097516 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent
" STOCK: Apple DATE: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
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: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent
" STOCK: Apple DATE: 13/09/2018 | 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: -0.0235855306744401 2_DAY_RETURN: -0.0113069210723908 3_DAY_RETURN: -0.0356874696347333 7_DAY_RETURN: -0.0146194956053177 | 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: 226.41 PX_VOLUME: 41706377.0 VOLATILITY_10D: 25.87 VOLATILITY_30D: 17.349 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0235855306744401
Predicted 2_DAY_RETURN: -0.0113069210723908
Predicted 7_DAY_RETURN: -0.0146194956053177 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Google: The year is 2007. An animal has escaped from its cage in the Google NYC office. What animal are you looking for? #tbt" 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: 13/09/2018 DATE: 1182.14 | 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 @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: 13/09/2018 1_DAY_RETURN: 0.0066404994332311 2_DAY_RETURN: -0.0059891383423284 3_DAY_RETURN: 0.0015649584651563 7_DAY_RETURN: 2003418.0 | 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: 13/09/2018 LAST_PRICE: -0.0089160336339183 PX_VOLUME: 18.038 VOLATILITY_10D: 16.833 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Google | Predicted 1_DAY_RETURN: 0.0066404994332311
Predicted 2_DAY_RETURN: -0.0059891383423284
Predicted 7_DAY_RETURN: 2003418.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @SuperSaf: Dear All Smartphone Manufacturers that aren't Apple. Please learn from @Apple and provide bright white lighting at your hands…" 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: 13/09/2018 DATE: 226.41 | 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: 13/09/2018 1_DAY_RETURN: -0.0113069210723908 2_DAY_RETURN: -0.0356874696347333 3_DAY_RETURN: -0.0146194956053177 7_DAY_RETURN: 41706377.0 | 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: 13/09/2018 LAST_PRICE: -0.0235855306744401 PX_VOLUME: 25.87 VOLATILITY_10D: 17.349 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: -0.0113069210723908
Predicted 2_DAY_RETURN: -0.0356874696347333
Predicted 7_DAY_RETURN: 41706377.0 |
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: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" STOCK: Apple DATE: 13/09/2018 | 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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