Cryptocurrency Price Trend Analysis via Machine Learning Methods

Abstract

Bitcoin (cryptocurrencies) is the hottest economic product in recent years. However, due to its highly volatile trend, it is difficult for investors to invest in a targeted manner in the direction of its market trend. And the correlation among cryptocurrencies is often overlooked. In this paper, to solve this problem, the currency data of the past year has been used to put into four regression models to predict and analyze the top five currencies(ranked by market cap) on the market. Among the models, the KNN model has the highest accuracy, reaching 0.923.