Global cryptocurrency trend prediction using social media
Department
Computer Science
Document Type
Article
Publication Date
11-1-2021
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.
Journal Title
Information Processing and Management
Journal ISSN
03064573
Volume
58
Issue
6
Digital Object Identifier (DOI)
10.1016/j.ipm.2021.102708