Predicting the Prices of Cryptocurrencies using Deep Learning

Abstract

Cryptocurrency is an excellent investment opportunity. Predicting the prices of cryptocurrencies is a problem that has been around since the origin of cryptocurrencies. Many machine learning approaches are proposed to solve the problem but none of them couldn't solve the problem with expected accuracy. Recent developments in deep learning have proven that using deep learning is one of the best approaches for predicting the prices of cryptocurrencies. In this paper, how LSTM networks are an upgrade over the previous solutions (regression, traditional neural networks, simple recurrent neural networks) and how they can be implemented for predicting the price of any cryptocurrency have been demonstarted.