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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: Google 1_DAY_RETURN: -0.0145186602549577 2_DAY_RETURN: -0.020527539296894 3_DAY_RETURN: -0.0266371258088068 7_DAY_RETURN: -0.0079139286823265 | 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: 1191.57 PX_VOLUME: 1462455.0 VOLATILITY_10D: 18.165 VOLATILITY_30D: 17.537 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0145186602549577
Predicted 2_DAY_RETURN: -0.020527539296894
Predicted 7_DAY_RETURN: -0.0079139286823265 |
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: Facebook to team up with two U.S. non-profits to slow the global spread of misinformation that could influence elections https…" 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: 20/09/2018 DATE: 166.02 | 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 -0.15000000000000002 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: 20/09/2018 1_DAY_RETURN: -0.0344536802794843 2_DAY_RETURN: -0.0327671364895795 3_DAY_RETURN: -0.0280689073605589 7_DAY_RETURN: 18936038.0 | 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: 20/09/2018 LAST_PRICE: -0.0178291772075654 PX_VOLUME: 21.994 VOLATILITY_10D: 21.77 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.15000000000000002 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: -0.0344536802794843
Predicted 2_DAY_RETURN: -0.0327671364895795
Predicted 7_DAY_RETURN: 18936038.0 |
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: Google tells Congress it continues to allow developers to scan, share Gmail data https://t.co/98ji2nkPNX
" STOCK: Google DATE: 20/09/2018 | 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: -0.0145186602549577 2_DAY_RETURN: -0.020527539296894 3_DAY_RETURN: -0.0266371258088068 7_DAY_RETURN: -0.0079139286823265 | 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: 1191.57 PX_VOLUME: 1462455.0 VOLATILITY_10D: 18.165 VOLATILITY_30D: 17.537 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0145186602549577
Predicted 2_DAY_RETURN: -0.020527539296894
Predicted 7_DAY_RETURN: -0.0079139286823265 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @UKCoachCalipari: Had to share a @CocaCola with my guy @UKCoachStoops!!
#BBN, let’s pack Kroger Field on Saturday and get behind this…
" STOCK: Kroger DATE: 20/09/2018 | 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: Kroger 1_DAY_RETURN: -0.0102810143934201 2_DAY_RETURN: 0.0037697052775873 3_DAY_RETURN: -0.0116518163125428 7_DAY_RETURN: -0.0205620287868403 | 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: Kroger LAST_PRICE: 29.18 PX_VOLUME: 9027581.0 VOLATILITY_10D: 65.039 VOLATILITY_30D: 41.578 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0102810143934201
Predicted 2_DAY_RETURN: 0.0037697052775873
Predicted 7_DAY_RETURN: -0.0205620287868403 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@Reuters Google is one of the most unethical companies on the planet." 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: 20/09/2018 DATE: 1191.57 | 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 @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: 20/09/2018 1_DAY_RETURN: -0.020527539296894 2_DAY_RETURN: -0.0266371258088068 3_DAY_RETURN: -0.0079139286823265 7_DAY_RETURN: 1462455.0 | 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: 20/09/2018 LAST_PRICE: -0.0145186602549577 PX_VOLUME: 18.165 VOLATILITY_10D: 17.537 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.5 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: -0.020527539296894
Predicted 2_DAY_RETURN: -0.0266371258088068
Predicted 7_DAY_RETURN: 1462455.0 |
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: Turkey fines Google for violating competition law https://t.co/i1jTx4pBq0 https://t.co/yMkahors1V" 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: 20/09/2018 DATE: 1191.57 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.0 and the TextBlob polarity score is @Reuters. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 20/09/2018 1_DAY_RETURN: -0.020527539296894 2_DAY_RETURN: -0.0266371258088068 3_DAY_RETURN: -0.0079139286823265 7_DAY_RETURN: 1462455.0 | 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: 20/09/2018 LAST_PRICE: -0.0145186602549577 PX_VOLUME: 18.165 VOLATILITY_10D: 17.537 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: -0.020527539296894
Predicted 2_DAY_RETURN: -0.0266371258088068
Predicted 7_DAY_RETURN: 1462455.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@SRuhle Google Pixel Fraud might happen again with the launch of Pixel 3 on 9 October 2018
@Google is Killing..Hum… https://t.co/l0ZiVNhktX
" STOCK: Google DATE: 20/09/2018 | 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: -0.0145186602549577 2_DAY_RETURN: -0.020527539296894 3_DAY_RETURN: -0.0266371258088068 7_DAY_RETURN: -0.0079139286823265 | 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: 1191.57 PX_VOLUME: 1462455.0 VOLATILITY_10D: 18.165 VOLATILITY_30D: 17.537 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0145186602549577
Predicted 2_DAY_RETURN: -0.020527539296894
Predicted 7_DAY_RETURN: -0.0079139286823265 |
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: Google defends Gmail data sharing, gives few details on violations https://t.co/jtnyERIwrQ
" STOCK: Google DATE: 20/09/2018 | 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 -0.2. |
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: -0.0145186602549577 2_DAY_RETURN: -0.020527539296894 3_DAY_RETURN: -0.0266371258088068 7_DAY_RETURN: -0.0079139286823265 | 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: 1191.57 PX_VOLUME: 1462455.0 VOLATILITY_10D: 18.165 VOLATILITY_30D: 17.537 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: -0.2 | Predicted 1_DAY_RETURN: -0.0145186602549577
Predicted 2_DAY_RETURN: -0.020527539296894
Predicted 7_DAY_RETURN: -0.0079139286823265 |
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 bullshit is this? It won’t be long before Facebook becomes as regulated as a Government Utility. https://t.co/dpeJI5Q2jB" 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: 20/09/2018 DATE: 166.02 | 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 @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: 20/09/2018 1_DAY_RETURN: -0.0344536802794843 2_DAY_RETURN: -0.0327671364895795 3_DAY_RETURN: -0.0280689073605589 7_DAY_RETURN: 18936038.0 | 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: 20/09/2018 LAST_PRICE: -0.0178291772075654 PX_VOLUME: 21.994 VOLATILITY_10D: 21.77 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @facebook | Predicted 1_DAY_RETURN: -0.0344536802794843
Predicted 2_DAY_RETURN: -0.0327671364895795
Predicted 7_DAY_RETURN: 18936038.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Audi: Alexa, electric has gone Audi.
The fully electric e-tron is here with in-car Alexa integration. https://t.co/GD1nab0M1A
" STOCK: Audi DATE: 20/09/2018 | 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: -0.0158730158730158 2_DAY_RETURN: -0.0211640211640211 3_DAY_RETURN: -0.0264550264550264 7_DAY_RETURN: -0.0317460317460317 | 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: 756.0 PX_VOLUME: 97.0 VOLATILITY_10D: 36.897 VOLATILITY_30D: 23.877 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0158730158730158
Predicted 2_DAY_RETURN: -0.0211640211640211
Predicted 7_DAY_RETURN: -0.0317460317460317 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "So Google Chrome updated, and now the format looks silly and half the websites I visit on it are broken. Seriously, @Google?
" STOCK: Google DATE: 20/09/2018 | 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 -0.3555555555555556. |
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: -0.0145186602549577 2_DAY_RETURN: -0.020527539296894 3_DAY_RETURN: -0.0266371258088068 7_DAY_RETURN: -0.0079139286823265 | 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: 1191.57 PX_VOLUME: 1462455.0 VOLATILITY_10D: 18.165 VOLATILITY_30D: 17.537 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: -0.3555555555555556 | Predicted 1_DAY_RETURN: -0.0145186602549577
Predicted 2_DAY_RETURN: -0.020527539296894
Predicted 7_DAY_RETURN: -0.0079139286823265 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Nissan: The Nissan Navara Dark Sky Concept functions as a mobile observatory, featuring a world-leading telescope with an off-road trai…
" STOCK: Nissan DATE: 20/09/2018 | 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 -0.15. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Nissan 1_DAY_RETURN: -0.003668042182485 2_DAY_RETURN: -0.015130674002751 3_DAY_RETURN: -0.0279688216414488 7_DAY_RETURN: -0.0412654745529573 | 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: Nissan LAST_PRICE: 1090.5 PX_VOLUME: 12963900.0 VOLATILITY_10D: 14.519 VOLATILITY_30D: 14.55 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: -0.15 | Predicted 1_DAY_RETURN: -0.003668042182485
Predicted 2_DAY_RETURN: -0.015130674002751
Predicted 7_DAY_RETURN: -0.0412654745529573 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Put Drake & Josh on Netflix @netflix" 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: "Netflix" STOCK: 20/09/2018 DATE: 365.36 | 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 0.0 and the TextBlob polarity score is @netflix. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 20/09/2018 1_DAY_RETURN: 0.0062677906722136 2_DAY_RETURN: -0.0410827676811911 3_DAY_RETURN: 0.0076363039194218 7_DAY_RETURN: 6768086.0 | 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: 20/09/2018 LAST_PRICE: 0.0043792423910662 PX_VOLUME: 43.24 VOLATILITY_10D: 41.723 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @netflix | Predicted 1_DAY_RETURN: 0.0062677906722136
Predicted 2_DAY_RETURN: -0.0410827676811911
Predicted 7_DAY_RETURN: 6768086.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@facebook Hey Facebook, my account hasn’t worked properly in 5 days now and I’ve reported it about a dozen times. Maybe help a girl out??
" STOCK: Facebook DATE: 20/09/2018 | 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: Facebook 1_DAY_RETURN: -0.0178291772075654 2_DAY_RETURN: -0.0344536802794843 3_DAY_RETURN: -0.0327671364895795 7_DAY_RETURN: -0.0280689073605589 | 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: Facebook LAST_PRICE: 166.02 PX_VOLUME: 18936038.0 VOLATILITY_10D: 21.994 VOLATILITY_30D: 21.77 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0178291772075654
Predicted 2_DAY_RETURN: -0.0344536802794843
Predicted 7_DAY_RETURN: -0.0280689073605589 |
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: Yunko Bento Accessories Rice Ball Mold Onig... by YunKo for $9.99 https://t.co/uJyFt95XhH @amazon 님이 공유" 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: 20/09/2018 DATE: 1944.3 | 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: 20/09/2018 1_DAY_RETURN: -0.0016715527439181 2_DAY_RETURN: -0.0186545286221262 3_DAY_RETURN: 0.023437741089338 7_DAY_RETURN: 3154934.0 | 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: 20/09/2018 LAST_PRICE: -0.0091961117111556 PX_VOLUME: 26.802 VOLATILITY_10D: 22.076 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: -0.0016715527439181
Predicted 2_DAY_RETURN: -0.0186545286221262
Predicted 7_DAY_RETURN: 3154934.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @SAP: SAP technology allows @elephantsrhinos (ERP) to monitor elephants and rhinos with drones and sensors to reduce poaching. https://t…" 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: "SAP" STOCK: 20/09/2018 DATE: 101.88 | 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 @SAP. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 20/09/2018 1_DAY_RETURN: 0.0111896348645465 2_DAY_RETURN: 0.005496662740479 3_DAY_RETURN: 0.016489988221437 7_DAY_RETURN: 2891109.0 | 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: 20/09/2018 LAST_PRICE: 0.0056929721240675 PX_VOLUME: 16.432000000000002 VOLATILITY_10D: 16.85 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @SAP | Predicted 1_DAY_RETURN: 0.0111896348645465
Predicted 2_DAY_RETURN: 0.005496662740479
Predicted 7_DAY_RETURN: 2891109.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Disney: New York Fashion Week was filled with dreamy Disney details! https://t.co/GwKF69Qsuw https://t.co/AIXJ66TAq8" 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: 20/09/2018 DATE: 111.62 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is 0.3181818181818182 and the TextBlob polarity score is @Disney. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 20/09/2018 1_DAY_RETURN: -0.0187242429672102 2_DAY_RETURN: -0.0202472675147823 3_DAY_RETURN: -0.0085110195305501 7_DAY_RETURN: 7121781.0 | 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: 20/09/2018 LAST_PRICE: -0.0163949113062175 PX_VOLUME: 14.737 VOLATILITY_10D: 10.67 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.3181818181818182 TEXTBLOB_POLARITY: @Disney | Predicted 1_DAY_RETURN: -0.0187242429672102
Predicted 2_DAY_RETURN: -0.0202472675147823
Predicted 7_DAY_RETURN: 7121781.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@Reuters How much did she pay Reuters for this spam video?" 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: 20/09/2018 DATE: 50.1267 | 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 @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: 20/09/2018 1_DAY_RETURN: 0.0024158781647305 2_DAY_RETURN: 0.0 3_DAY_RETURN: 0.0028567609677078 7_DAY_RETURN: 1955631.0 | 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: 20/09/2018 LAST_PRICE: -0.0024178731095404 PX_VOLUME: 10.159 VOLATILITY_10D: 13.966 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.2 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: 0.0024158781647305
Predicted 2_DAY_RETURN: 0.0
Predicted 7_DAY_RETURN: 1955631.0 |
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: Google defends Gmail data sharing and gives few details on violations. @Peard33 reports https://t.co/WRTzaY2eEc via @ReutersTV…" 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: 20/09/2018 DATE: 1191.57 | 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 @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: 20/09/2018 1_DAY_RETURN: -0.020527539296894 2_DAY_RETURN: -0.0266371258088068 3_DAY_RETURN: -0.0079139286823265 7_DAY_RETURN: 1462455.0 | 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: 20/09/2018 LAST_PRICE: -0.0145186602549577 PX_VOLUME: 18.165 VOLATILITY_10D: 17.537 VOLATILITY_30D: -1.0 LSTM_POLARITY: -0.2 TEXTBLOB_POLARITY: @Reuters | Predicted 1_DAY_RETURN: -0.020527539296894
Predicted 2_DAY_RETURN: -0.0266371258088068
Predicted 7_DAY_RETURN: 1462455.0 |
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: Optical Illusion 3D Glow LED Lighting Toys ... by ObamaTech for $11.00 https://t.co/69XVHyt0Ee 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: 20/09/2018 DATE: 1944.3 | 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: 20/09/2018 1_DAY_RETURN: -0.0016715527439181 2_DAY_RETURN: -0.0186545286221262 3_DAY_RETURN: 0.023437741089338 7_DAY_RETURN: 3154934.0 | 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: 20/09/2018 LAST_PRICE: -0.0091961117111556 PX_VOLUME: 26.802 VOLATILITY_10D: 22.076 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @amazon | Predicted 1_DAY_RETURN: -0.0016715527439181
Predicted 2_DAY_RETURN: -0.0186545286221262
Predicted 7_DAY_RETURN: 3154934.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @SentinelUAV: #Drone #CounterDrone #Vodafone @vodafone Vodafone Drone tracking technology unveiled in world first https://t.co/T8Mzu2mKg…" 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: "Vodafone" STOCK: 20/09/2018 DATE: 168.06 | 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 @vodafone. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 20/09/2018 1_DAY_RETURN: 0.0051172200404616 2_DAY_RETURN: 0.0001190051172201 3_DAY_RETURN: 0.0013090562894204 7_DAY_RETURN: 64334152.0 | 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: 20/09/2018 LAST_PRICE: 0.0045221944543614 PX_VOLUME: 7.6110000000000015 VOLATILITY_10D: 16.81 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.25 TEXTBLOB_POLARITY: @vodafone | Predicted 1_DAY_RETURN: 0.0051172200404616
Predicted 2_DAY_RETURN: 0.0001190051172201
Predicted 7_DAY_RETURN: 64334152.0 |
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: Star Wars Men's SW Space Scenes 1, Black/Mi... by Star Wars for $14.95 https://t.co/f4OvRhrYsy via @amazon
" STOCK: Amazon DATE: 20/09/2018 | 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: Amazon 1_DAY_RETURN: -0.0091961117111556 2_DAY_RETURN: -0.0016715527439181 3_DAY_RETURN: -0.0186545286221262 7_DAY_RETURN: 0.023437741089338 | The stock shows a consistent positive return trend over the specified periods. |
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