Global cryptocurrency trend prediction using social media

M. Poongodi, Tu N. Nguyen, Mounir Hamdi, Korhan Cengiz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number102708
JournalInformation Processing and Management
Volume58
Issue number6
DOIs
Publication statusPublished - Nov 2021

Keywords

  • Cryptocurrency
  • Machine learning
  • Social media

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