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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ジャーナル オープンアクセス

2025 年 11 巻 1 号 p. 49-53

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抄録
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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