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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: 27/09/2018 1_DAY_RETURN: -0.0170957095709571 2_DAY_RETURN: -0.0097029702970296 3_DAY_RETURN: -0.0023102310231022 7_DAY_RETURN: 3477643.0 | 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: 27/09/2018 LAST_PRICE: 0.0007260726072608 PX_VOLUME: 14.399 VOLATILITY_10D: 11.201 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.13636363636363635 TEXTBLOB_POLARITY: @IBM | Predicted 1_DAY_RETURN: -0.0170957095709571
Predicted 2_DAY_RETURN: -0.0097029702970296
Predicted 7_DAY_RETURN: 3477643.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@SaraRamirez @CBS @ABCNetwork We would love to see Callie back! 💕💕Grateful to CBS 😍. I wish @ABCNetwork @GreysABC… https://t.co/10CauZNhH5" 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: "CBS" STOCK: 27/09/2018 DATE: 56.55 | 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 @CBS. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 27/09/2018 1_DAY_RETURN: 0.0 2_DAY_RETURN: 0.0005305039787798 3_DAY_RETURN: 0.0026525198938993 7_DAY_RETURN: 2364489.0 | 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: 27/09/2018 LAST_PRICE: -0.0008841732979663 PX_VOLUME: 10.928 VOLATILITY_10D: 18.07 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.25 TEXTBLOB_POLARITY: @CBS | Predicted 1_DAY_RETURN: 0.0
Predicted 2_DAY_RETURN: 0.0005305039787798
Predicted 7_DAY_RETURN: 2364489.0 |
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 Vintage Nike Air Flight Warm Up Full Zip Jacket Mesh Lined Mens Size XLT #NikeAir https://t.co/RDQpEYPOsO 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: "Nike" STOCK: 27/09/2018 DATE: 84.54 | 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 0.475 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: 27/09/2018 1_DAY_RETURN: 0.0029571800331204 2_DAY_RETURN: -0.0031937544357701 3_DAY_RETURN: 0.0098178377099597 7_DAY_RETURN: 6080564.0 | 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: 27/09/2018 LAST_PRICE: -0.0099361249112846 PX_VOLUME: 20.623 VOLATILITY_10D: 20.092 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.475 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: 0.0029571800331204
Predicted 2_DAY_RETURN: -0.0031937544357701
Predicted 7_DAY_RETURN: 6080564.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Google: Time travel, anyone? Take a virtual stroll through the original Google Garage in Street View—just like it was 20 years ago → ht…
" STOCK: Google DATE: 28/09/2018 | 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: 0.0002319647413592 2_DAY_RETURN: -0.010786360473208 3_DAY_RETURN: -0.0109271962090332 7_DAY_RETURN: -0.02896245484972 | 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: Google LAST_PRICE: 1207.08 PX_VOLUME: 1780759.0 VOLATILITY_10D: 15.005 VOLATILITY_30D: 17.588 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0002319647413592
Predicted 2_DAY_RETURN: -0.010786360473208
Predicted 7_DAY_RETURN: -0.02896245484972 |
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 Nikon MD-4 MD 4 Motor Drive for F3 HP F3/T F3P - UN TESTED- https://t.co/yo5XtAZDbb @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: "HP" STOCK: 28/09/2018 DATE: 25.77 | 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: 28/09/2018 1_DAY_RETURN: 0.0077609623593325 2_DAY_RETURN: -0.0081490104772992 3_DAY_RETURN: 0.0023282887077997 7_DAY_RETURN: 9174484.0 | 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: 28/09/2018 LAST_PRICE: -0.0054326736515328 PX_VOLUME: 16.822 VOLATILITY_10D: 15.387 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: 0.0077609623593325
Predicted 2_DAY_RETURN: -0.0081490104772992
Predicted 7_DAY_RETURN: 9174484.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Kingdom Hearts HD 1.5 Remix (Sony PlayStation 3, 2013) PS3 Game - FREE POST https://t.co/VsSUKKzIO7 via @eBay
" STOCK: Sony DATE: 28/09/2018 | 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: Sony 1_DAY_RETURN: -0.0432098765432098 2_DAY_RETURN: -0.0284237726098191 3_DAY_RETURN: -0.0442147573930519 7_DAY_RETURN: -0.0749354005167958 | 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: Sony LAST_PRICE: 6966.0 PX_VOLUME: 10999200.0 VOLATILITY_10D: 39.149 VOLATILITY_30D: 24.595 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0432098765432098
Predicted 2_DAY_RETURN: -0.0284237726098191
Predicted 7_DAY_RETURN: -0.0749354005167958 |
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: In the Blue Light by Paul Simon for $9.99 https://t.co/KzPxnmMkRj 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: 28/09/2018 DATE: 2003.0 | 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 0.2 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: 28/09/2018 1_DAY_RETURN: -0.014053919121318 2_DAY_RETURN: -0.0142036944583125 3_DAY_RETURN: -0.0439291063404892 7_DAY_RETURN: 4085135.0 | 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: 28/09/2018 LAST_PRICE: 0.0049825262106839 PX_VOLUME: 20.709 VOLATILITY_10D: 22.946 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.2 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: -0.014053919121318
Predicted 2_DAY_RETURN: -0.0142036944583125
Predicted 7_DAY_RETURN: 4085135.0 |
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 Disney Mickey & Pluto Dog Sweater Size Small Blue Red https://t.co/BEfCx2zt9w @eBay" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Disney" STOCK: 28/09/2018 DATE: 116.94 | 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 -0.08333333333333333 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: 28/09/2018 1_DAY_RETURN: -0.0147939114075594 2_DAY_RETURN: -0.0283051137335385 3_DAY_RETURN: -0.0559261159569009 7_DAY_RETURN: 7366846.0 | 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: 28/09/2018 LAST_PRICE: -0.0076962544894817 PX_VOLUME: 15.232 VOLATILITY_10D: 13.23 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.08333333333333333 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0147939114075594
Predicted 2_DAY_RETURN: -0.0283051137335385
Predicted 7_DAY_RETURN: 7366846.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@DasFirelord @FedEx Next time you want to make stories up about me make sure you know where I'm delivering packages LOL" 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: 28/09/2018 DATE: 5494.0 | 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 0.43333333333333335 and the TextBlob polarity score is @FedEx. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 28/09/2018 1_DAY_RETURN: -0.0171095740808154 2_DAY_RETURN: 0.0043684018929741 3_DAY_RETURN: -0.0535129231889333 7_DAY_RETURN: 729746.0 | 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: 28/09/2018 LAST_PRICE: -0.0294867127775755 PX_VOLUME: 51.157 VOLATILITY_10D: 29.38300000000001 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.43333333333333335 TEXTBLOB_POLARITY: @FedEx | Predicted 1_DAY_RETURN: -0.0171095740808154
Predicted 2_DAY_RETURN: 0.0043684018929741
Predicted 7_DAY_RETURN: 729746.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @carriemybeeer: @Nike can you make one of those "believe in something. even if it means sacrificing everything" ads for Dr. Ford please
" STOCK: Ford DATE: 28/09/2018 | 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: Ford 1_DAY_RETURN: -0.0021621621621621 2_DAY_RETURN: 0.0021621621621621 3_DAY_RETURN: 0.0151351351351351 7_DAY_RETURN: 0.0648648648648648 | 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: Ford LAST_PRICE: 9.25 PX_VOLUME: 30987233.0 VOLATILITY_10D: 23.492 VOLATILITY_30D: 22.989 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0021621621621621
Predicted 2_DAY_RETURN: 0.0021621621621621
Predicted 7_DAY_RETURN: 0.0648648648648648 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@BMW You have a problem with lighting because I see Audi logo
@Audi https://t.co/7mOwWBmAs2
" STOCK: Audi DATE: 28/09/2018 | 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: Audi 1_DAY_RETURN: -0.009925558312655 2_DAY_RETURN: -0.0148883374689826 3_DAY_RETURN: -0.0074441687344913 7_DAY_RETURN: -0.0496277915632754 | 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: Audi LAST_PRICE: 806.0 PX_VOLUME: 62.0 VOLATILITY_10D: 26.252 VOLATILITY_30D: 27.33 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.009925558312655
Predicted 2_DAY_RETURN: -0.0148883374689826
Predicted 7_DAY_RETURN: -0.0496277915632754 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@Apple @AppleSupport when can we have Apple Maps running perfectly like @googlemaps in India? It’s painful as many… https://t.co/yHzqSbbDRe" 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: 28/09/2018 DATE: 225.74 | 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 1.0 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: 28/09/2018 1_DAY_RETURN: -0.0235669354124214 2_DAY_RETURN: -0.015726056525206 3_DAY_RETURN: -0.0357933906263843 7_DAY_RETURN: 22929364.0 | 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: 28/09/2018 LAST_PRICE: -0.0034996013112431 PX_VOLUME: 15.841 VOLATILITY_10D: 20.065 VOLATILITY_30D: -1.0 LSTM_POLARITY: 1.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: -0.0235669354124214
Predicted 2_DAY_RETURN: -0.015726056525206
Predicted 7_DAY_RETURN: 22929364.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @hydroclimali: Two recent exciting hydrology-related news from @Google!
1. Google is now using AI for #flood forecasting (https://t.co/m…
" STOCK: Google DATE: 28/09/2018 | 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: Google 1_DAY_RETURN: 0.0002319647413592 2_DAY_RETURN: -0.010786360473208 3_DAY_RETURN: -0.0109271962090332 7_DAY_RETURN: -0.02896245484972 | 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: Google LAST_PRICE: 1207.08 PX_VOLUME: 1780759.0 VOLATILITY_10D: 15.005 VOLATILITY_30D: 17.588 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.1875 | Predicted 1_DAY_RETURN: 0.0002319647413592
Predicted 2_DAY_RETURN: -0.010786360473208
Predicted 7_DAY_RETURN: -0.02896245484972 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@facebook What's wrong? My Facebook accounts are always disabled without reason. I can't open one of my accounts be… https://t.co/tgqJGAbN7j" 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: 28/09/2018 DATE: 164.46 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -0.5 and the TextBlob polarity score is @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: 28/09/2018 1_DAY_RETURN: 0.0151404596862457 2_DAY_RETURN: 0.0027362276541407 3_DAY_RETURN: -0.0093031740240788 7_DAY_RETURN: 34265638.0 | 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: 28/09/2018 LAST_PRICE: 0.0266326158336373 PX_VOLUME: 26.211 VOLATILITY_10D: 23.132 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.5 TEXTBLOB_POLARITY: @facebook | Predicted 1_DAY_RETURN: 0.0151404596862457
Predicted 2_DAY_RETURN: 0.0027362276541407
Predicted 7_DAY_RETURN: 34265638.0 |
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 Blank Cassette Tapes Sony TDK Maxell High Bias Normal Bias Lot of 12 #Sony #Maxell #TDK #MixTape https://t.co/vsaZdXOzrq via @eBay" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Sony" STOCK: 28/09/2018 DATE: 6966.0 | 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 0.10333333333333332 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: 28/09/2018 1_DAY_RETURN: -0.0284237726098191 2_DAY_RETURN: -0.0442147573930519 3_DAY_RETURN: -0.0749354005167958 7_DAY_RETURN: 10999200.0 | 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: 28/09/2018 LAST_PRICE: -0.0432098765432098 PX_VOLUME: 39.149 VOLATILITY_10D: 24.595 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.10333333333333332 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0284237726098191
Predicted 2_DAY_RETURN: -0.0442147573930519
Predicted 7_DAY_RETURN: 10999200.0 |
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: Reuters, Amal Clooney and the Committee to Protect Journalists address U.N. on imprisoned Myanmar reporters and pre… https://t…
" STOCK: Reuters DATE: 28/09/2018 | 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: 0.0008764973496391 2_DAY_RETURN: -0.0050343940740033 3_DAY_RETURN: 0.0004372549136522 7_DAY_RETURN: -0.0067854012509465 | 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: 50.3139 PX_VOLUME: 7988967.0 VOLATILITY_10D: 6.837999999999999 VOLATILITY_30D: 12.771 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0008764973496391
Predicted 2_DAY_RETURN: -0.0050343940740033
Predicted 7_DAY_RETURN: -0.0067854012509465 |
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: LIVE: Reuters, Amal Clooney and the Committee to Protect Journalists address U.N. on imprisoned Myanmar reporters and press fr…
" STOCK: Reuters DATE: 28/09/2018 | 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 0.13636363636363635. |
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: 0.0008764973496391 2_DAY_RETURN: -0.0050343940740033 3_DAY_RETURN: 0.0004372549136522 7_DAY_RETURN: -0.0067854012509465 | 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: 50.3139 PX_VOLUME: 7988967.0 VOLATILITY_10D: 6.837999999999999 VOLATILITY_30D: 12.771 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.13636363636363635 | Predicted 1_DAY_RETURN: 0.0008764973496391
Predicted 2_DAY_RETURN: -0.0050343940740033
Predicted 7_DAY_RETURN: -0.0067854012509465 |
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: Reuters, Amal Clooney and the Committee to Protect Journalists address U.N. on imprisoned Myanmar reporters and pre… https://t…
" STOCK: Reuters DATE: 28/09/2018 | 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: 0.0008764973496391 2_DAY_RETURN: -0.0050343940740033 3_DAY_RETURN: 0.0004372549136522 7_DAY_RETURN: -0.0067854012509465 | 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: 50.3139 PX_VOLUME: 7988967.0 VOLATILITY_10D: 6.837999999999999 VOLATILITY_30D: 12.771 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0008764973496391
Predicted 2_DAY_RETURN: -0.0050343940740033
Predicted 7_DAY_RETURN: -0.0067854012509465 |
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: Reuters, Amal Clooney and the Committee to Protect Journalists address U.N. on imprisoned Myanmar reporters and pre… https://t…
" STOCK: Reuters DATE: 28/09/2018 | 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: 0.0008764973496391 2_DAY_RETURN: -0.0050343940740033 3_DAY_RETURN: 0.0004372549136522 7_DAY_RETURN: -0.0067854012509465 | 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: 50.3139 PX_VOLUME: 7988967.0 VOLATILITY_10D: 6.837999999999999 VOLATILITY_30D: 12.771 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0008764973496391
Predicted 2_DAY_RETURN: -0.0050343940740033
Predicted 7_DAY_RETURN: -0.0067854012509465 |
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: LIVE: 'History will judge her on her response' - Amal Clooney on Myanmar's Aung San Suu Kyi and jailed Reuters reporters. Watc…" 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: "Reuters" STOCK: 28/09/2018 DATE: 50.3139 | 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 0.13636363636363635 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: 28/09/2018 1_DAY_RETURN: -0.0050343940740033 2_DAY_RETURN: 0.0004372549136522 3_DAY_RETURN: -0.0067854012509465 7_DAY_RETURN: 7988967.0 | 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: 28/09/2018 LAST_PRICE: 0.0008764973496391 PX_VOLUME: 6.837999999999999 VOLATILITY_10D: 12.771 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.13636363636363635 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: -0.0050343940740033
Predicted 2_DAY_RETURN: 0.0004372549136522
Predicted 7_DAY_RETURN: 7988967.0 |
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: MORE: 'This conviction is a travesty of justice' - Clooney, speaking on behalf of imprisoned Reuters journalists Wa Lone and…
" STOCK: Reuters DATE: 28/09/2018 | 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 0.5. |
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: 0.0008764973496391 2_DAY_RETURN: -0.0050343940740033 3_DAY_RETURN: 0.0004372549136522 7_DAY_RETURN: -0.0067854012509465 | 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: 50.3139 PX_VOLUME: 7988967.0 VOLATILITY_10D: 6.837999999999999 VOLATILITY_30D: 12.771 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.5 | Predicted 1_DAY_RETURN: 0.0008764973496391
Predicted 2_DAY_RETURN: -0.0050343940740033
Predicted 7_DAY_RETURN: -0.0067854012509465 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@CaseyNeistat @verizon I went through this the last time I switched Apple Watches. Verizon did not help. Go into yo… https://t.co/MGiWK7T3j4" 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: 28/09/2018 DATE: 225.74 | 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 @verizon. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 28/09/2018 1_DAY_RETURN: -0.0235669354124214 2_DAY_RETURN: -0.015726056525206 3_DAY_RETURN: -0.0357933906263843 7_DAY_RETURN: 22929364.0 | 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: 28/09/2018 LAST_PRICE: -0.0034996013112431 PX_VOLUME: 15.841 VOLATILITY_10D: 20.065 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @verizon | Predicted 1_DAY_RETURN: -0.0235669354124214
Predicted 2_DAY_RETURN: -0.015726056525206
Predicted 7_DAY_RETURN: 22929364.0 |
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 Disney Pin Disneyland GOOFY 50 Years Happiest Homecoming on Earth NEW ON CARD https://t.co/dijKrwPzvg 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. |
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