Cryptocurrency Price Prediction Based on Long-Term and Short-Term Integrated Learning

Abstract

With the advancement of blockchain technology and the development of digital economy, more investors are entering the cryptocurrency market, and the use of historical information as a means to evaluate and forecast future trends in the rapidly changing cryptocurrency market has become a major topic at the moment. Based on the SVR model, this paper proposes a cryptocurrency price expectation model based on long-term and short-term integrated learning and uses a large amount of historical cryptocurrency price data to analyze and verify the integrated learning model. Experimental results indicate that the accuracy of the SVR model for cryptocurrency price prediction can be effectively improved by the integrated learning model.