Analyzing Machine Learning Algorithms for Sentiment Analysis and Price Prediction in a Cryptocurrency Exchange Website

Cryptocurrency investments have gained popularity with the rise of the digital era. The most common way to buy and sell cryptocurrencies is to transact with Crypto Exchanges. These are privately owned platforms which allow users to trade digital currencies for other assets. The increasing demand for cryptocurrencies has led to a growing need to elevate crypto exchanges. This paper examines various machine-learning algorithms for implementing sentiment analysis and price prediction in a newly developing centralised cryptocurrency exchange – “AssetXchange”, by understanding its functions and system architecture.