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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: "@facebook I’m unable to scroll more than a few Facebook notifications on my iPhone. It’s been like that for few weeks" 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: 13/09/2018 DATE: 161.36 | 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 -0.06666666666666668 and the TextBlob polarity score is @facebook. |
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: 0.0283837382250866 2_DAY_RETURN: 0.0174764501735249 3_DAY_RETURN: 0.0072508676251858 7_DAY_RETURN: 25453775.0 | 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: 0.0039662865642041 PX_VOLUME: 24.843000000000004 VOLATILITY_10D: 24.827 VOLATILITY_30D: 1.0 LSTM_POLARITY: -0.06666666666666668 TEXTBLOB_POLARITY: @facebook | Predicted 1_DAY_RETURN: 0.0283837382250866
Predicted 2_DAY_RETURN: 0.0174764501735249
Predicted 7_DAY_RETURN: 25453775.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Yellow Apple Art Print on Upcycled Antique Book Page https://t.co/RNpbaFqolo 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: "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 @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: 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: @amazon | 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 @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. |
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: 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 @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent
" 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 @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: "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: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" 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 @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" 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: "@Stephen_Kellogg @Apple Everyone who still buys Apple products get exactly what they deserve." 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: 14/09/2018 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 0.25 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: 14/09/2018 1_DAY_RETURN: -0.0123749106504646 2_DAY_RETURN: 4.4674767691167376e-05 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: 14/09/2018 LAST_PRICE: 0.0114814152966404 PX_VOLUME: 25.688 VOLATILITY_10D: 17.88 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.25 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: -0.0123749106504646
Predicted 2_DAY_RETURN: 4.4674767691167376e-05
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: "@staceac @AppleMusic @Apple Apple is nothing but trouble. Always has been always will be. At least you went… https://t.co/1n3UNxXLHT" 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: 14/09/2018 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 -0.2 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: 14/09/2018 1_DAY_RETURN: -0.0123749106504646 2_DAY_RETURN: 4.4674767691167376e-05 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: 14/09/2018 LAST_PRICE: 0.0114814152966404 PX_VOLUME: 25.688 VOLATILITY_10D: 17.88 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.2 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: -0.0123749106504646
Predicted 2_DAY_RETURN: 4.4674767691167376e-05
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: "RT @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" 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 @Apple: @ryanbydefault The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" 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 @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: "RT @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent
" 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 @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent
" 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 @Apple: iPhone XS, iPhone XS Max, iPhone XR และ Apple Watch Series 4 แบบใหม่หมด มาถึงแล้ว #AppleEvent
" 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 @AgasiclesStamas: Just got done watching the @netflix original Next Gen and I can't even right now. So glad I didn't watch that first wi…" 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 0.2202380952380953 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: 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: 0.2202380952380953 TEXTBLOB_POLARITY: @netflix | 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: "@Nike @serenawilliams Pewdiepie DESTROYS Colin Kaepernick and Nike https://t.co/RxbBG1Udn6" 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: 14/09/2018 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 @Nike. |
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: -0.0058689663432745 2_DAY_RETURN: -0.0103006348065636 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: 14/09/2018 LAST_PRICE: -0.0002395496466642 PX_VOLUME: 23.117 VOLATILITY_10D: 18.114 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Nike | Predicted 1_DAY_RETURN: -0.0058689663432745
Predicted 2_DAY_RETURN: -0.0103006348065636
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 @Apple: The all-new iPhone XS, iPhone XS Max, iPhone XR and Apple Watch Series 4 are here. #AppleEvent
" 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: "Ldea Galaxy S8 Case, Silicone Shockproof Tempered Glass Back Cover Shell (Lig... https://t.co/cpQARGeLjV via @amazon
" STOCK: Shell 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: Shell 1_DAY_RETURN: -0.0034419923061348 2_DAY_RETURN: 0.0052642235270297 3_DAY_RETURN: -0.0044543429844097 7_DAY_RETURN: -0.0105284470540595 | 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: Shell LAST_PRICE: 2469.5 PX_VOLUME: 3351052.0 VOLATILITY_10D: 16.342 VOLATILITY_30D: 17.352999999999998 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0034419923061348
Predicted 2_DAY_RETURN: 0.0052642235270297
Predicted 7_DAY_RETURN: -0.0105284470540595 |
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: 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. |
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