Cryptocurrency Price Prediction Using Deep Le...

Cryptocurrency Price Prediction Using Deep Learning

Author Name : Ragavi Muthukrishnan

ABSTRACT Cryptocurrency, a virtual or digital currency that are decentralized networks based on blockchain technology, have become increasingly popular in the recent years. Some of the more famous cryptocurrencies include Bitcoin, Ethereum, YFI Ripple, Dash, Iota, Monero, Stratis, Waves etc. Cryptocurrencies have risen from a gray and black market transaction medium to a more vibrant way of investment, becoming increasingly famous among investors and researches alike. This section of the financialmarket can be labelled as “high risk high reward”. As the crypto market is seeing a 200% growth every year, soon cryptocurrency trading will become a trend in itself. This report documents how our team predicts prices of cryptocurrencies using a Recurrent Neural Network architecture called Long Short Term Memory (LSTM) Algorithm which works on the principle of backpropagation, avoiding long term dependency problem while also optimizing and enhancing the accuracy of the algorithm.