{"title":"比特币情绪分析","authors":"","doi":"10.46632/daai/3/1/19","DOIUrl":null,"url":null,"abstract":"Twitter sentiment has proven useful in predicting whether the Bit coin price will rise or fall.\nIncrease/decrease. In this article, we seek to rely on technical status not only to predict direction, but also to predict bullish/bearish levels. We use not only present the results of tests that explore the relationship between sentiment and futures prices at different levels of time granularity, with the aim of discovering the optimal time period at which sentiment behaves. Become a reliable indicator of price changes.","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bit coin Sentiment Analysis\",\"authors\":\"\",\"doi\":\"10.46632/daai/3/1/19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Twitter sentiment has proven useful in predicting whether the Bit coin price will rise or fall.\\nIncrease/decrease. In this article, we seek to rely on technical status not only to predict direction, but also to predict bullish/bearish levels. We use not only present the results of tests that explore the relationship between sentiment and futures prices at different levels of time granularity, with the aim of discovering the optimal time period at which sentiment behaves. Become a reliable indicator of price changes.\",\"PeriodicalId\":226827,\"journal\":{\"name\":\"Data Analytics and Artificial Intelligence\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Analytics and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46632/daai/3/1/19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Analytics and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46632/daai/3/1/19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Twitter sentiment has proven useful in predicting whether the Bit coin price will rise or fall.
Increase/decrease. In this article, we seek to rely on technical status not only to predict direction, but also to predict bullish/bearish levels. We use not only present the results of tests that explore the relationship between sentiment and futures prices at different levels of time granularity, with the aim of discovering the optimal time period at which sentiment behaves. Become a reliable indicator of price changes.