Journal of Robotics, Networking and Artificial Life
Online ISSN : 2352-6386
Print ISSN : 2405-9021
A Comparative Study on Long-term Cryptocurrency Price Prediction Using LSTM, GRU, and Bi-LSTM
Satoshi IkedaTsutomu ItoKodai HasebeFumito HamakawaBidesh Biswas BikiAmane TakeiMakoto SakamotoMd RiajuliislamSabrina Bari ShitalTakao Ito
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JOURNAL OPEN ACCESS

2025 Volume 11 Issue 1 Pages 49-53

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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.
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© 2025 ALife Robotics Corporation Ltd.

この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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