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Ethereum Price Prediction Using Time Series and Deep Learning Techniques

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Predictive modeling shows that ARIMA, LSTM, and Facebook Prophet can accurately forecast ethereum prices, suggesting robust tools for investors.

The combination of ARIMA and LSTM achieves high accuracy in predicting ethereum prices, offering insights into market trends.
Using metrics like MPE, MAPE, and RMSE, the models' strengths and weaknesses in forecasting are assessed systematically.
Deep learning techniques, particularly LSTMs, effectively capture intricate patterns in price data, enhancing prediction accuracy.
Time series methods like ARIMA reveal seasonal trends and anomalies in cryptocurrency price fluctuations, supporting informed investment decisions.

Raghavendran et al. (2025) studied this question.

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Predictive modeling shows that ARIMA, LSTM, and Facebook Prophet can accurately forecast ethereum prices, suggesting robust tools for investors.