A Novel Approach for Analytical Comparison of Cryptocurrencies using Time Series

Abstract

Cryptocurrencies gaining popularity as a digital currency in today’s world. The market is altering dramatically as a result of the rapid increase in investment in digital currency. The ability to accurately forecast and change the behavior of digital currency is becoming a critical aspect in today’s digital environment. This prompted us to investigate bitcoin trading and investor adoption in the market. We began by examining and analyzing the costs of currencies, and after reviewing numerous methods, one of them proved to be the ideal technique for our data representation, taking into account various criteria such as date, time, and year. A time series forecasting technique has been implemented for forecast the future profit or loss in currencies.