4.7 Article

Global cryptocurrency trend prediction using social media

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ELSEVIER SCI LTD
DOI: 10.1016/j.ipm.2021.102708

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Cryptocurrency; Social media; Machine learning

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This study aims to predict the price fluctuations of crypto-currencies by analyzing social media communication data and exploring the relationship between price variations and social media activities. The findings help us better understand the crypto currency ecosystems and provide insights for real-time trading systems.
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.

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