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Predicting Cryptocurrency Price Movements Based on Social Media
Version 3 2024-07-02, 03:20Version 3 2024-07-02, 03:20
Version 2 2024-06-13, 11:48Version 2 2024-06-13, 11:48
Version 1 2020-05-05, 11:26Version 1 2020-05-05, 11:26
conference contribution
posted on 2024-07-02, 03:20 authored by VM Hao, NH Huy, Duy Bo DaoDuy Bo Dao, TT Mai, K Nguyen-An© 2019 IEEE. Predicting cryptocurrency price movements is a challenging task due to the highly stochastic nature of the market. This paper exploits features from social media, combining with the historical price to build an accurate model for predicting trending of the Bitcoin, the most popular cryptocurrency these days. The novelty of this work is introducing a new feature called 'interaction' which helps improve the model's performance significantly. Our approach shows a very promising result, which outperforms other recent works by a large margin.
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Pagination
57-64Location
Nha Trang, VietnamPublisher DOI
Start date
2019-11-26End date
2019-11-28ISBN-13
9781728147239Language
engPublication classification
E1 Full written paper - refereedTitle of proceedings
ACOMP 2019 : Proceedings of the 2019 International Conference on Advanced Computing and ApplicationsEvent
Advanced Computing and Applications. Conference (2019 : Nha Trang, Vietnam)Publisher
IEEEPlace of publication
Piscataway, N.J.Usage metrics
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