Predicting Bitcoin and Ethereum prices using long short-term memory and gated recurrent unit

• Main Authors: Mohd Haziq, Abdul Hadi, Nor Azuana, Ramli, Islam, Q. U. I.
• Format: Article
• Language: English
• Published: Penerbit UMP 2023
• Subjects: QA Mathematics; QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/41610/1/document.pdf; http://umpir.ump.edu.my/id/eprint/41610/; https://doi.org/10.15282/daam.v4i2.10195; https://doi.org/10.15282/daam.v4i2.10195

Predicting future prices of cryptocurrencies, including Bitcoin and Ethereum, presents a formidable challenge owing to their inherent volatility. This study applies Long Short-Term Memory (LSTM), a well-established recurrent neural network for time series forecasting, to predict Bitcoin and Ethereum...