Cryptocurrency Price Analysis using Deep Learning

Abstract

Crypto currency is an immerging field for investments and trading which attracts many businessmen, investors, and most importantly a generation of aspiring youth which understands the future of money transactions and its security. Cryptocurrency price prediction problem solutions can provide extremely useful information which will prevent investors from losing money invested on cryptocurrency. The ability to forecast the price of an asset such as crypto offers the opportunity for profit by trading it. The goal of this study is to use LSTM (Long-Short Term Memory) and RNN (Recurrent Neural Network) with Sentiment Analysis to create an algorithm model that can accurately predict the price of cryptocurrency the following day.