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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: 19/09/2018 DATE: 109.79 | 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: 19/09/2018 1_DAY_RETURN: -0.003916567993442 2_DAY_RETURN: -0.0048273977593587 3_DAY_RETURN: -0.0030057382275253 7_DAY_RETURN: 5964771.0 | 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: 19/09/2018 LAST_PRICE: -0.0023681573913835 PX_VOLUME: 11.93 VOLATILITY_10D: 9.265 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.003916567993442
Predicted 2_DAY_RETURN: -0.0048273977593587
Predicted 7_DAY_RETURN: 5964771.0 |
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 Aladdin Black Diamond Classic Walt Disney VHS Video Tape 1993 Excellent Tested https://t.co/H9HKAOFnol 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: "Disney" STOCK: 19/09/2018 DATE: 109.79 | 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 0.3333333333333333 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: 19/09/2018 1_DAY_RETURN: -0.003916567993442 2_DAY_RETURN: -0.0048273977593587 3_DAY_RETURN: -0.0030057382275253 7_DAY_RETURN: 5964771.0 | 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: 19/09/2018 LAST_PRICE: -0.0023681573913835 PX_VOLUME: 11.93 VOLATILITY_10D: 9.265 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.3333333333333333 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.003916567993442
Predicted 2_DAY_RETURN: -0.0048273977593587
Predicted 7_DAY_RETURN: 5964771.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @n26: Now you can pay with your N26 Mastercard using #GooglePay in Italy! It's just two steps to add your @Mastercard.
Open your Contr…
" STOCK: Mastercard DATE: 19/09/2018 | 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: Mastercard 1_DAY_RETURN: 0.0085246803244878 2_DAY_RETURN: -0.0078830377194188 3_DAY_RETURN: -0.0010541271368989 7_DAY_RETURN: -0.0190659516934781 | 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: Mastercard LAST_PRICE: 218.19 PX_VOLUME: 2882966.0 VOLATILITY_10D: 15.042 VOLATILITY_30D: 16.565 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0085246803244878
Predicted 2_DAY_RETURN: -0.0078830377194188
Predicted 7_DAY_RETURN: -0.0190659516934781 |
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 FIFA 10 (Microsoft Xbox 360, 2009) https://t.co/dtXYKERHcd via @eBay
" STOCK: Microsoft DATE: 19/09/2018 | 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: Microsoft 1_DAY_RETURN: 0.0135183527305281 2_DAY_RETURN: 0.0039391226499552 3_DAY_RETURN: 0.0149507609668755 7_DAY_RETURN: 8.952551477162852e-05 | 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: Microsoft LAST_PRICE: 111.7 PX_VOLUME: 21728429.0 VOLATILITY_10D: 16.928 VOLATILITY_30D: 16.998 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: 0.0135183527305281
Predicted 2_DAY_RETURN: 0.0039391226499552
Predicted 7_DAY_RETURN: 8.952551477162852e-05 |
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 Nike SB Zoom Stefan Janoski CNVS PRM 705190-221 Hazelnut Baroque White Camo QS #Nike https://t.co/iEsbETIiSg 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: 19/09/2018 DATE: 84.43 | 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: 19/09/2018 1_DAY_RETURN: -0.0138576335425796 2_DAY_RETURN: -0.0111334833589957 3_DAY_RETURN: -0.0169371076631529 7_DAY_RETURN: 8053129.0 | 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: 19/09/2018 LAST_PRICE: 0.0098306289233684 PX_VOLUME: 17.913 VOLATILITY_10D: 19.231 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0138576335425796
Predicted 2_DAY_RETURN: -0.0111334833589957
Predicted 7_DAY_RETURN: 8053129.0 |
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: 19/09/2018 DATE: 102.46 | 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 0.0 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: 19/09/2018 1_DAY_RETURN: -0.0001951981260979 2_DAY_RETURN: 0.0175678313488191 3_DAY_RETURN: 0.0142494632051533 7_DAY_RETURN: 1696379.0 | 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: 19/09/2018 LAST_PRICE: 0.0054655475307437 PX_VOLUME: 16.907 VOLATILITY_10D: 17.368 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @SAP | Predicted 1_DAY_RETURN: -0.0001951981260979
Predicted 2_DAY_RETURN: 0.0175678313488191
Predicted 7_DAY_RETURN: 1696379.0 |
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: 19/09/2018 DATE: 109.79 | 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: 19/09/2018 1_DAY_RETURN: -0.003916567993442 2_DAY_RETURN: -0.0048273977593587 3_DAY_RETURN: -0.0030057382275253 7_DAY_RETURN: 5964771.0 | 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: 19/09/2018 LAST_PRICE: -0.0023681573913835 PX_VOLUME: 11.93 VOLATILITY_10D: 9.265 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.3181818181818182 TEXTBLOB_POLARITY: @Disney | Predicted 1_DAY_RETURN: -0.003916567993442
Predicted 2_DAY_RETURN: -0.0048273977593587
Predicted 7_DAY_RETURN: 5964771.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@PAPIGFUNK @Dell @intel @Walmart Fucking lalo XD doing Walmart commercial. Can you please hook me up with a ps4 cop… https://t.co/k0Dw1JMUof" STOCK: nan DATE: nan | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is nan and the TextBlob polarity score is nan. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: nan 1_DAY_RETURN: nan 2_DAY_RETURN: nan 3_DAY_RETURN: nan 7_DAY_RETURN: nan | The stock shows a neutral return trend over the specified periods. |
Based on the given stock information, predict the 1_DAY_RETURN, 2_DAY_RETURN, and 7_DAY_RETURN. | STOCK: nan LAST_PRICE: nan PX_VOLUME: nan VOLATILITY_10D: nan VOLATILITY_30D: nan LSTM_POLARITY: nan TEXTBLOB_POLARITY: nan | Predicted 1_DAY_RETURN: nan
Predicted 2_DAY_RETURN: nan
Predicted 7_DAY_RETURN: nan |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Walmart" STOCK: 19/09/2018 DATE: 95.24 | Sentiment: (Provide sentiment here)
Explanation: The tweet sentiment is related to the stock mentioned, and it's important to interpret the context. The LSTM polarity score is -0.3 and the TextBlob polarity score is @intel. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 19/09/2018 1_DAY_RETURN: -0.0044099118017639 2_DAY_RETURN: -0.0068248635027298 3_DAY_RETURN: 0.0076648467030659 7_DAY_RETURN: 5675135.0 | 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: 19/09/2018 LAST_PRICE: 0.0019949601007981 PX_VOLUME: 10.879 VOLATILITY_10D: 30.187 VOLATILITY_30D: 1.0 LSTM_POLARITY: -0.3 TEXTBLOB_POLARITY: @intel | Predicted 1_DAY_RETURN: -0.0044099118017639
Predicted 2_DAY_RETURN: -0.0068248635027298
Predicted 7_DAY_RETURN: 5675135.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @shiynzato: @RonaldPPinheiro @WalidPhares @FlavioBolsonaro @jairbolsonaro @facebook @Twitter Facebook and twitter they have the same pro…" 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: 19/09/2018 DATE: 163.06 | 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 0.0 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: 19/09/2018 1_DAY_RETURN: -0.0152091254752851 2_DAY_RETURN: -0.0045382067950448 3_DAY_RETURN: -0.0065006745983073 7_DAY_RETURN: 19628996.0 | 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: 19/09/2018 LAST_PRICE: -0.0169262848031398 PX_VOLUME: 19.829 VOLATILITY_10D: 20.849 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @facebook | Predicted 1_DAY_RETURN: -0.0152091254752851
Predicted 2_DAY_RETURN: -0.0045382067950448
Predicted 7_DAY_RETURN: 19628996.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Just read that District 2 got a @Starbucks @willcruzshaw @rey4sa When will District 4 get a Starbucks? I have to dr… https://t.co/iZEy4mMhL8" 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: 19/09/2018 DATE: 55.43 | 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 @Starbucks. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 19/09/2018 1_DAY_RETURN: -0.0155150640447411 2_DAY_RETURN: -0.0122677250586325 3_DAY_RETURN: -0.008298755186722 7_DAY_RETURN: 7451644.0 | 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: 19/09/2018 LAST_PRICE: -0.0064946779722172 PX_VOLUME: 9.032 VOLATILITY_10D: 11.19 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Starbucks | Predicted 1_DAY_RETURN: -0.0155150640447411
Predicted 2_DAY_RETURN: -0.0122677250586325
Predicted 7_DAY_RETURN: 7451644.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@CBSBigBrother @CBS so you are gonna need a new host of Big Brother for the Next seasons maybe Derek ,boogie or Rachel or me #BB20 #BBAD
" STOCK: Next DATE: 19/09/2018 | 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 0.04545454545454545. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Next 1_DAY_RETURN: 0.0140524116976832 2_DAY_RETURN: 0.0201291302696543 3_DAY_RETURN: 0.0159513862514242 7_DAY_RETURN: 0.0383592859855677 | 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: Next LAST_PRICE: 5266.0 PX_VOLUME: 510213.0 VOLATILITY_10D: 12.885 VOLATILITY_30D: 14.713 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.04545454545454545 | Predicted 1_DAY_RETURN: 0.0140524116976832
Predicted 2_DAY_RETURN: 0.0201291302696543
Predicted 7_DAY_RETURN: 0.0383592859855677 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Starbucks: @chocohyoo Hyungwon will always be our Starbucks king! 👑" 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: 19/09/2018 DATE: 55.43 | 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 @Starbucks. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 19/09/2018 1_DAY_RETURN: -0.0155150640447411 2_DAY_RETURN: -0.0122677250586325 3_DAY_RETURN: -0.008298755186722 7_DAY_RETURN: 7451644.0 | 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: 19/09/2018 LAST_PRICE: -0.0064946779722172 PX_VOLUME: 9.032 VOLATILITY_10D: 11.19 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Starbucks | Predicted 1_DAY_RETURN: -0.0155150640447411
Predicted 2_DAY_RETURN: -0.0122677250586325
Predicted 7_DAY_RETURN: 7451644.0 |
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 1977 Sony FM/AM Multi Band Receiver ICF-5900w ICF 5900 Vintage Photo Print Ad #Sony https://t.co/DC1GE4CZwY 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: 19/09/2018 DATE: 6682.0 | 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 0.0 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: 19/09/2018 1_DAY_RETURN: -0.0077821011673151 2_DAY_RETURN: -0.0077821011673151 3_DAY_RETURN: -0.0493864112541155 7_DAY_RETURN: 7605200.0 | 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: 19/09/2018 LAST_PRICE: -0.0044896737503741 PX_VOLUME: 20.003 VOLATILITY_10D: 19.714 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: -0.0077821011673151
Predicted 2_DAY_RETURN: -0.0077821011673151
Predicted 7_DAY_RETURN: 7605200.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Travis5mith: How tough is @TheJWilkerson8? He's Built @Ford Tough.
The @HeritageFtball junior wideout was named the Built Ford Tough T…
" STOCK: Ford 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 -0.3888888888888889. |
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: -0.0030581039755352 2_DAY_RETURN: -0.0234454638124363 3_DAY_RETURN: -0.0265035677879714 7_DAY_RETURN: -0.0448521916411825 | 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: Ford LAST_PRICE: 9.81 PX_VOLUME: 46314358.0 VOLATILITY_10D: 12.606 VOLATILITY_30D: 22.826 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: -0.3888888888888889 | Predicted 1_DAY_RETURN: -0.0030581039755352
Predicted 2_DAY_RETURN: -0.0234454638124363
Predicted 7_DAY_RETURN: -0.0448521916411825 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @thalesgroup: Thales @Innotrans Episode2: a day to visit Thales https://t.co/a89ye05SWY" 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: "Thales" STOCK: 20/09/2018 DATE: 122.0 | 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 0.0 and the TextBlob polarity score is @thalesgroup. |
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: 0.0045081967213114 2_DAY_RETURN: 0.0045081967213114 3_DAY_RETURN: -0.0036885245901639 7_DAY_RETURN: 230063.0 | 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: 0.0045081967213114 PX_VOLUME: 7.5 VOLATILITY_10D: 15.673 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @thalesgroup | Predicted 1_DAY_RETURN: 0.0045081967213114
Predicted 2_DAY_RETURN: 0.0045081967213114
Predicted 7_DAY_RETURN: 230063.0 |
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 Marvel Comics Alias (2001) #22 Jessica Jones ORIGIN Bendis Mack Netflix VF https://t.co/FCPYg5SdIN 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: "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 @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: 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: @eBay | 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: "RT @LydaKrewson: Congrats to @Microsoft on the opening of the new Microsoft Technology Center at @CortexSTL, bringing 150 jobs & a $50 mill…
" STOCK: Microsoft 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 0.018181818181818167. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: Microsoft 1_DAY_RETURN: -0.016465615919697 2_DAY_RETURN: -0.0031698511930967 3_DAY_RETURN: -0.0125913533503565 7_DAY_RETURN: -0.0058113938540107 | 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: Microsoft LAST_PRICE: 113.57 PX_VOLUME: 23714512.0 VOLATILITY_10D: 17.607 VOLATILITY_30D: 17.653 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.018181818181818167 | Predicted 1_DAY_RETURN: -0.016465615919697
Predicted 2_DAY_RETURN: -0.0031698511930967
Predicted 7_DAY_RETURN: -0.0058113938540107 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @FedEx: Congrats to @myCryptoHippo of @JACentralON for winning the FedEx Junior Business Challenge at @playofffinale! FedEx will make a…" 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: "FedEx" STOCK: 20/09/2018 DATE: 246.81 | 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 0.625 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: 20/09/2018 1_DAY_RETURN: -0.0211903893683399 2_DAY_RETURN: 0.0361411612171305 3_DAY_RETURN: 0.0257688100158015 7_DAY_RETURN: 2379850.0 | 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: -0.0159231797739151 PX_VOLUME: 36.109 VOLATILITY_10D: 23.088 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.625 TEXTBLOB_POLARITY: @FedEx | Predicted 1_DAY_RETURN: -0.0211903893683399
Predicted 2_DAY_RETURN: 0.0361411612171305
Predicted 7_DAY_RETURN: 2379850.0 |
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: 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: Apple 1_DAY_RETURN: -0.0075444257601236 2_DAY_RETURN: -0.0081352542835067 3_DAY_RETURN: -0.0097713948097986 7_DAY_RETURN: 0.0289960459937281 | 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: Apple LAST_PRICE: 220.03 PX_VOLUME: 26608794.0 VOLATILITY_10D: 28.202 VOLATILITY_30D: 19.623 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0075444257601236
Predicted 2_DAY_RETURN: -0.0081352542835067
Predicted 7_DAY_RETURN: 0.0289960459937281 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @lynnhig: @tlou30 @amazon Good job you have a dog or your house would be empty, you should post on Facebook and warn others in the area
" 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 0.3. |
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: 0.3 | 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: "Nike and Kaepernick basically just copied thanos’s slogan for Avengers: Infinity War . SMH @Nike" 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 |
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