Global cryptocurrency trend prediction using social media
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摘要
This paper aims to investigate the global crypto-currency price movement trends with respect to the social media communication data. The idea is to analyze the topical trends in the online communities and social media platforms to understand and extract insights that could be used to predict the price fluctuations in crypto-currencies. The hypothesis rests in finding the empirical evidence to exploit the relationship between price variations and social media activities. Such models and insights will help us better understand the crypto currency ecosystems in context of social media behavior which can be used for real-time trading systems.
论文关键词:Cryptocurrency,Social media,Machine learning
论文评审过程:Received 25 March 2021, Revised 11 July 2021, Accepted 27 July 2021, Available online 16 August 2021, Version of Record 16 August 2021.
论文官网地址:https://doi.org/10.1016/j.ipm.2021.102708