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

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