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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: "Nike" STOCK: 17/09/2018 DATE: 83.26 | 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 0.21428571428571427 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: 17/09/2018 1_DAY_RETURN: 0.0027624309392263 2_DAY_RETURN: 0.0027624309392263 3_DAY_RETURN: -0.0139322603891425 7_DAY_RETURN: 4861055.0 | 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: 17/09/2018 LAST_PRICE: 0.0027624309392263 PX_VOLUME: 11.702 VOLATILITY_10D: 18.006 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.21428571428571427 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: 0.0027624309392263
Predicted 2_DAY_RETURN: 0.0027624309392263
Predicted 7_DAY_RETURN: 4861055.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@NXOnNetflix @netflix Fit Mike in there and I'll pay for a lifetime of Netflix right now. https://t.co/62c2EBfAYA" 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: 17/09/2018 DATE: 350.35 | 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 0.3428571428571429 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: 17/09/2018 1_DAY_RETURN: 0.0405594405594404 2_DAY_RETURN: 0.0405594405594404 3_DAY_RETURN: -0.0055373198230341 7_DAY_RETURN: 7071945.0 | 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: 17/09/2018 LAST_PRICE: 0.0405594405594404 PX_VOLUME: 50.426 VOLATILITY_10D: 39.317 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.3428571428571429 TEXTBLOB_POLARITY: @netflix | Predicted 1_DAY_RETURN: 0.0405594405594404
Predicted 2_DAY_RETURN: 0.0405594405594404
Predicted 7_DAY_RETURN: 7071945.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @intel: Thanks @WITHIN for the shout-out! See how Sansar and Intel recreated the @americanart Burning Man exhibit in #VR. https://t.co/D…" 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: "Intel" STOCK: 17/09/2018 DATE: 45.42 | 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 @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: 17/09/2018 1_DAY_RETURN: 0.0026420079260237 2_DAY_RETURN: 0.0026420079260237 3_DAY_RETURN: 0.0193747247908409 7_DAY_RETURN: 17603171.0 | 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: 17/09/2018 LAST_PRICE: 0.0026420079260237 PX_VOLUME: 19.822 VOLATILITY_10D: 19.23 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.25 TEXTBLOB_POLARITY: @intel | Predicted 1_DAY_RETURN: 0.0026420079260237
Predicted 2_DAY_RETURN: 0.0026420079260237
Predicted 7_DAY_RETURN: 17603171.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @Walmart: As the storm continues along the East Coast, here’s how you can help—donate to the Walmart 2018 Hurricane Relief Fund, online…
" STOCK: Walmart DATE: 17/09/2018 | 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: Walmart 1_DAY_RETURN: -0.0024256485973422 2_DAY_RETURN: -0.0024256485973422 3_DAY_RETURN: -0.0024256485973422 7_DAY_RETURN: 0.0219363003585742 | 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: Walmart LAST_PRICE: 94.82 PX_VOLUME: 5329819.0 VOLATILITY_10D: 12.857 VOLATILITY_30D: 30.135 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0024256485973422
Predicted 2_DAY_RETURN: -0.0024256485973422
Predicted 7_DAY_RETURN: 0.0219363003585742 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @imcristianortiz: Please add the George Lopez show 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: 17/09/2018 DATE: 350.35 | 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: 17/09/2018 1_DAY_RETURN: 0.0405594405594404 2_DAY_RETURN: 0.0405594405594404 3_DAY_RETURN: -0.0055373198230341 7_DAY_RETURN: 7071945.0 | 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: 17/09/2018 LAST_PRICE: 0.0405594405594404 PX_VOLUME: 50.426 VOLATILITY_10D: 39.317 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @netflix | Predicted 1_DAY_RETURN: 0.0405594405594404
Predicted 2_DAY_RETURN: 0.0405594405594404
Predicted 7_DAY_RETURN: 7071945.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Reed Hastings: Add Hocus Pocus on Netflix - Sign the Petition! https://t.co/chSXhRJSRh via @Change @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: 17/09/2018 DATE: 350.35 | 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: 17/09/2018 1_DAY_RETURN: 0.0405594405594404 2_DAY_RETURN: 0.0405594405594404 3_DAY_RETURN: -0.0055373198230341 7_DAY_RETURN: 7071945.0 | 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: 17/09/2018 LAST_PRICE: 0.0405594405594404 PX_VOLUME: 50.426 VOLATILITY_10D: 39.317 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @netflix | Predicted 1_DAY_RETURN: 0.0405594405594404
Predicted 2_DAY_RETURN: 0.0405594405594404
Predicted 7_DAY_RETURN: 7071945.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "Burberry Brit Mens T Shirt Medium Red Short Sleeve Authentic #BurberryBrit https://t.co/E3k46zkTzj via @eBay #Findingskeepers" 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: "Burberry" STOCK: 17/09/2018 DATE: 2109.0 | 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 0.16666666666666666 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: 17/09/2018 1_DAY_RETURN: 0.0208629682313892 2_DAY_RETURN: 0.0208629682313892 3_DAY_RETURN: -0.0142247510668563 7_DAY_RETURN: 1638559.0 | 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: 17/09/2018 LAST_PRICE: 0.0208629682313892 PX_VOLUME: 34.569 VOLATILITY_10D: 28.105 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.16666666666666666 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: 0.0208629682313892
Predicted 2_DAY_RETURN: 0.0208629682313892
Predicted 7_DAY_RETURN: 1638559.0 |
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 Genuine HP 45 51645A Black Ink Deskjet 6122 960 980 1180 1120 890 959 950 9300 #HP https://t.co/GWjIKby7OP 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: "HP" STOCK: 17/09/2018 DATE: 25.01 | 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 0.11666666666666667 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: 17/09/2018 1_DAY_RETURN: 0.0011995201919231 2_DAY_RETURN: 0.0011995201919231 3_DAY_RETURN: -0.0143942423030788 7_DAY_RETURN: 5937377.0 | 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: 17/09/2018 LAST_PRICE: 0.0011995201919231 PX_VOLUME: 10.133 VOLATILITY_10D: 14.706 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.11666666666666667 TEXTBLOB_POLARITY: @eBay | Predicted 1_DAY_RETURN: 0.0011995201919231
Predicted 2_DAY_RETURN: 0.0011995201919231
Predicted 7_DAY_RETURN: 5937377.0 |
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: U.S. to spare Apple watch, many gadgets from new China tariffs https://t.co/8jjQs7Wjar
" STOCK: Apple DATE: 18/09/2018 | 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 0.3181818181818182. |
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: -0.0016495601173021 2_DAY_RETURN: 0.0256598240469208 3_DAY_RETURN: 0.0256598240469208 7_DAY_RETURN: 0.0257056451612902 | 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: 218.24 PX_VOLUME: 31571712.0 VOLATILITY_10D: 28.915 VOLATILITY_30D: 19.63 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.3181818181818182 | Predicted 1_DAY_RETURN: -0.0016495601173021
Predicted 2_DAY_RETURN: 0.0256598240469208
Predicted 7_DAY_RETURN: 0.0257056451612902 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@thatpatti @kroger And while we are at it, @kroger keeps getting rid of my favorites. Kroger brand roasted tomato e… https://t.co/FmsoRkM2ld
" STOCK: Kroger DATE: 18/09/2018 | 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: -0.0153636053260498 2_DAY_RETURN: -0.0508706043018094 3_DAY_RETURN: -0.0508706043018094 7_DAY_RETURN: 0.0716968248548993 | 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: Kroger LAST_PRICE: 29.29 PX_VOLUME: 10436974.0 VOLATILITY_10D: 66.093 VOLATILITY_30D: 42.44 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0153636053260498
Predicted 2_DAY_RETURN: -0.0508706043018094
Predicted 7_DAY_RETURN: 0.0716968248548993 |
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: Building your #SAPTechEd agenda?
Our @SDenecken previews the SAP S/4HANA Cloud sessions: https://t.co/uCSZh0rt8f https://t.co/v1tf…
" STOCK: SAP DATE: 18/09/2018 | 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: SAP 1_DAY_RETURN: -0.005629974762182 2_DAY_RETURN: 0.0120364977674238 3_DAY_RETURN: 0.0120364977674238 7_DAY_RETURN: -0.0033003300330031 | 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: SAP LAST_PRICE: 103.02 PX_VOLUME: 2179139.0 VOLATILITY_10D: 16.25 VOLATILITY_30D: 17.292 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.005629974762182
Predicted 2_DAY_RETURN: 0.0120364977674238
Predicted 7_DAY_RETURN: -0.0033003300330031 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@Jack_z_Jack @Apple RIP me... I use a Samsung Note 8" 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: "Samsung" STOCK: 18/09/2018 DATE: 45500.0 | 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 @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: 18/09/2018 1_DAY_RETURN: 0.0076923076923076 2_DAY_RETURN: 0.0076923076923076 3_DAY_RETURN: -0.0098901098901098 7_DAY_RETURN: 9987090.0 | 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: 18/09/2018 LAST_PRICE: -0.0076923076923076 PX_VOLUME: 32.126999999999995 VOLATILITY_10D: 26.736 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Apple | Predicted 1_DAY_RETURN: 0.0076923076923076
Predicted 2_DAY_RETURN: 0.0076923076923076
Predicted 7_DAY_RETURN: 9987090.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @realBobWoodward: #Fear is available at: @BNBuzz Costco @Target @booksamillion@HudsonBooks @Walmart and your local #independentbookstor…" 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: "Costco" STOCK: 18/09/2018 DATE: 234.35 | 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 @Walmart. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: 0.0043951354811179 2_DAY_RETURN: 0.0043951354811179 3_DAY_RETURN: 0.0420738212075955 7_DAY_RETURN: 2000248.0 | 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: 18/09/2018 LAST_PRICE: -0.0100277362918711 PX_VOLUME: 21.956 VOLATILITY_10D: 16.653 VOLATILITY_30D: -1.0 LSTM_POLARITY: 0.2 TEXTBLOB_POLARITY: @Walmart | Predicted 1_DAY_RETURN: 0.0043951354811179
Predicted 2_DAY_RETURN: 0.0043951354811179
Predicted 7_DAY_RETURN: 2000248.0 |
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: 18/09/2018 DATE: 103.02 | 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 @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: 18/09/2018 1_DAY_RETURN: 0.0120364977674238 2_DAY_RETURN: 0.0120364977674238 3_DAY_RETURN: -0.0033003300330031 7_DAY_RETURN: 2179139.0 | 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: 18/09/2018 LAST_PRICE: -0.005629974762182 PX_VOLUME: 16.25 VOLATILITY_10D: 17.292 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @SAP | Predicted 1_DAY_RETURN: 0.0120364977674238
Predicted 2_DAY_RETURN: 0.0120364977674238
Predicted 7_DAY_RETURN: 2179139.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @PayPal: Owe a friend for concert tickets? With PayPal, you can take advantage of the time between sets and settle the debt with just a…
" STOCK: PayPal DATE: 18/09/2018 | 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: PayPal 1_DAY_RETURN: -0.0115916183682567 2_DAY_RETURN: 0.0118145341061079 3_DAY_RETURN: 0.0118145341061079 7_DAY_RETURN: 0.0190592955862684 | 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: PayPal LAST_PRICE: 89.72 PX_VOLUME: 5820686.0 VOLATILITY_10D: 21.932 VOLATILITY_30D: 23.775 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0115916183682567
Predicted 2_DAY_RETURN: 0.0118145341061079
Predicted 7_DAY_RETURN: 0.0190592955862684 |
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 Minnie Mouse Halloween Candy Bowl, & Lighted Pumpkin Lot New #disney https://t.co/z0L3nCzj92 via @eBay
" STOCK: Disney DATE: 18/09/2018 | 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: Disney 1_DAY_RETURN: -0.0015520861864329 2_DAY_RETURN: -0.0024650780608052 3_DAY_RETURN: -0.0024650780608052 7_DAY_RETURN: 0.0006390943120605 | 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: Disney LAST_PRICE: 109.53 PX_VOLUME: 4937821.0 VOLATILITY_10D: 12.037 VOLATILITY_30D: 11.133 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.13636363636363635 | Predicted 1_DAY_RETURN: -0.0015520861864329
Predicted 2_DAY_RETURN: -0.0024650780608052
Predicted 7_DAY_RETURN: 0.0006390943120605 |
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: Audi launches electric SUV in Tesla's backyard, with assist from Amazon https://t.co/dNnvPLq69r
" STOCK: Amazon DATE: 18/09/2018 | 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: -0.0170114113495273 2_DAY_RETURN: 0.0150124932381958 3_DAY_RETURN: 0.0150124932381958 7_DAY_RETURN: 0.0237500321990675 | 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: Amazon LAST_PRICE: 1941.05 PX_VOLUME: 4268706.0 VOLATILITY_10D: 27.565 VOLATILITY_30D: 22.124 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0170114113495273
Predicted 2_DAY_RETURN: 0.0150124932381958
Predicted 7_DAY_RETURN: 0.0237500321990675 |
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: Building your #SAPTechEd agenda?
Our @SDenecken previews the SAP S/4HANA Cloud sessions: https://t.co/uCSZh0rt8f https://t.co/v1tf…
" STOCK: SAP DATE: 18/09/2018 | 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: SAP 1_DAY_RETURN: -0.005629974762182 2_DAY_RETURN: 0.0120364977674238 3_DAY_RETURN: 0.0120364977674238 7_DAY_RETURN: -0.0033003300330031 | 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: SAP LAST_PRICE: 103.02 PX_VOLUME: 2179139.0 VOLATILITY_10D: 16.25 VOLATILITY_30D: 17.292 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.005629974762182
Predicted 2_DAY_RETURN: 0.0120364977674238
Predicted 7_DAY_RETURN: -0.0033003300330031 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "@Ed_TechSource @Audi Oof. Audi doing good😍" 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: "Audi" STOCK: 18/09/2018 DATE: 740.0 | 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 @Audi. |
Compare the stock returns over 1, 2, 3, and 7 days after being mentioned in the tweet. Highlight any significant patterns or trends. | STOCK: 18/09/2018 1_DAY_RETURN: -0.0135135135135135 2_DAY_RETURN: -0.0135135135135135 3_DAY_RETURN: -0.0081081081081081 7_DAY_RETURN: 71.0 | 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: 18/09/2018 LAST_PRICE: -0.0054054054054054 PX_VOLUME: 36.491 VOLATILITY_10D: 23.779 VOLATILITY_30D: 1.0 LSTM_POLARITY: 0.0 TEXTBLOB_POLARITY: @Audi | Predicted 1_DAY_RETURN: -0.0135135135135135
Predicted 2_DAY_RETURN: -0.0135135135135135
Predicted 7_DAY_RETURN: 71.0 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @sengineland: SearchCap: @Google doesn’t personalize SERPs, don’t fixate on #CTR, Google sub-images & more by @debramastaler https://t.c…
" STOCK: Google DATE: 18/09/2018 | 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: Google 1_DAY_RETURN: -0.0062376297007137 2_DAY_RETURN: 0.0093136036877416 3_DAY_RETURN: 0.0093136036877416 7_DAY_RETURN: 0.0196039790593861 | 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: Google LAST_PRICE: 1167.11 PX_VOLUME: 1615701.0 VOLATILITY_10D: 16.992 VOLATILITY_30D: 16.753 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.5 | Predicted 1_DAY_RETURN: -0.0062376297007137
Predicted 2_DAY_RETURN: 0.0093136036877416
Predicted 7_DAY_RETURN: 0.0196039790593861 |
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: Introducing Apple Watch Series 4. Fundamentally redesigned and re-engineered to help you stay even more active, healthy, and con…
" STOCK: Apple DATE: 18/09/2018 | 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: -0.0016495601173021 2_DAY_RETURN: 0.0256598240469208 3_DAY_RETURN: 0.0256598240469208 7_DAY_RETURN: 0.0257056451612902 | 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: 218.24 PX_VOLUME: 31571712.0 VOLATILITY_10D: 28.915 VOLATILITY_30D: 19.63 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0016495601173021
Predicted 2_DAY_RETURN: 0.0256598240469208
Predicted 7_DAY_RETURN: 0.0257056451612902 |
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: Amazon, Berkshire, JPMorgan's healthcare venture names COO https://t.co/SMy0F5Dfnf https://t.co/ao5zhXc97b
" STOCK: Amazon DATE: 18/09/2018 | 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: -0.0170114113495273 2_DAY_RETURN: 0.0150124932381958 3_DAY_RETURN: 0.0150124932381958 7_DAY_RETURN: 0.0237500321990675 | 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: Amazon LAST_PRICE: 1941.05 PX_VOLUME: 4268706.0 VOLATILITY_10D: 27.565 VOLATILITY_30D: 22.124 LSTM_POLARITY: -1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0170114113495273
Predicted 2_DAY_RETURN: 0.0150124932381958
Predicted 7_DAY_RETURN: 0.0237500321990675 |
Analyze the sentiment expressed in the tweet. Is it positive, negative, or neutral? Explain the sentiment in relation to the stock mentioned. | TWEET: "RT @MSDESkillIndia: Skill India's partnership with @IBM India will facilitate the provision of IBM Skills Academy’s Badges, Career Pathways…
" STOCK: IBM DATE: 18/09/2018 | 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: IBM 1_DAY_RETURN: -0.0041733979536887 2_DAY_RETURN: -0.001548196015078 3_DAY_RETURN: -0.001548196015078 7_DAY_RETURN: -0.0139337641357027 | 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: IBM LAST_PRICE: 148.56 PX_VOLUME: 3629596.0 VOLATILITY_10D: 10.862 VOLATILITY_30D: 10.751 LSTM_POLARITY: 1 TEXTBLOB_POLARITY: 0.0 | Predicted 1_DAY_RETURN: -0.0041733979536887
Predicted 2_DAY_RETURN: -0.001548196015078
Predicted 7_DAY_RETURN: -0.0139337641357027 |
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