Predicting bitcoin value fluctuations using machine

Abstract

As the first decentralized cryptocurrency, Bitcoin is a type of digital money. Bitcoin transactions between users do not require a centralized authority, such as banks or governments. It conducts transactions using blockchain technology. Bitcoin is an open-source project that is not restricted to any one authority, and anybody can participate in creating bitcoins. Bitcoin was outlawed in India for allegedly facilitating money laundering and being used illegally. The paper we present here will explore how machine learning algorithms could be used to forecast Bitcoin values. A variety of time-series analysis models, such as AR, ARMA, ARIMA, and SARIMAX, and regression analysis models, such as Bayesian, polynomial, and Elastic Net, are used in machine learning algorithms to forecast the prices of Bitcoin.