Scopus Indexed Publications

Paper Details


Title
A Comparative Study on Long-term Cryptocurrency Price Prediction Using LSTM, GRU, and Bi-LSTM

Author
, Sabrina Bari Shital,

Email

Abstract

Cryptocurrency price fluctuations, though widely studied, remain unpredictable, posing risks for investors. While many aspire to profit, the volatility makes accurate prediction challenging. Deep learning has recently gained traction as a promising approach for cryptocurrency price forecasting. This study focuses on long-term price prediction for Bitcoin, Ethereum, Litecoin, and Cardano using LSTM, GRU, and Bi-LSTM models. The performance of these models is evaluated and compared with findings from previous studies.


Keywords

Journal or Conference Name
Journal of Robotics, Networking and Artificial Life

Publication Year
2025

Indexing
scopus