An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend

Author:

Bâra Adela,Oprea Simona-Vasilica

Funder

Unitatea Executiva pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii

Publisher

Elsevier BV

Reference72 articles.

1. Novel deep learning model for bitcoin price prediction by multiplicative LSTM with attention mechanism and technical indicators;Ahamed,2022

2. Forecasting Bitcoin price using time opinion mining and bi-directional GRU;Akbar;J. Intell. Fuzzy Syst.,2022

3. On improving GARCH volatility forecasts for Bitcoin via a meta-learning approach;Aras;Knowl. Base Syst.,2021

4. DAO-analyzer: exploring activity and participation in blockchain organizations;Arroyo,2022

5. Autoregressive integrated moving average (ARIMA) model for forecasting cryptocurrency exchange rate in high volatility environment: a new insight of bitcoin transaction;Bakar;International Journal of Advanced Engineering Research and Science,2017

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