Closing Price Prediction of Cryptocurrencies BTC, LTC, and ETH Using a Hybrid ARIMA-LSTM Algorithm

Closing Price Prediction of Cryptocurrencies BTC, LTC, and ETH Using a Hybrid ARIMA-LSTM Algorithm

This study aims to develop a hybrid algorithm using the ARIMA model and LSTM-type recurrent neural networks to predict the closing prices of the cryptocurrencies BTC, LTC, and ETH. The methodology includes an exploratory data analysis, followed by the design, implementation, and evaluation of each i...

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Bibliographic Details
Main Authors: Jherson S. Ruiz-Lopez, Miguel Jiménez-Carrión
Format: Article
Language:English
Published: Ital Publication 2025-06-01
Series:HighTech and Innovation Journal
Subjects:
LSTM Networks
ARIMA Model
Hybrid Approach
Prediction
Cryptocurrencies
Online Access:https://hightechjournal.org/index.php/HIJ/article/view/1170
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