Cryptocurrency Price Prediction using Machine Learning Algorithm

Abstract

In today's world we can see the trend of cryptocurrency is constantly increasing every day. In the financial sector, cryptocurrency has become a huge topic and the right prediction has become more important to gain profits. For determining the right prediction with good accuracy, we performed deep analysis on dataset to understand the market behavior by using different machine learning algorithms like Linear Regression, Random Forest Regressor, Gradient Boosting Regressor, and XGBoost to predict the daily price behavior of top 4 cryptocurrencies like Bitcoin, XRP, Ethereum, and Stellar using these machine learning algorithms. Our experimental result reaches to 95–97 percent validation accuracy.