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

  • Institutional Repositories DataBase (IRDB)
  • National Institute of Informatics
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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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W7145608038
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article
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EN
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Institutional Repositories DataBase (IRDB)
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