BITCOIN PRICE PREDICTION USING MACHINE LEARNING

Abstract

lSTM(Long Short-Term Memory) is a kind of Recurrent Neural Network which is used in the field of Machine Learning. Traditional neural networks can’t remember previous inputs But Recurrent Neural Networks enable us to learn from previous sequence input data. A LSTM unit is composed of a cell, an input gate, an output gate and a forget gate. this repository was written a Bitcoin Price Prediction project based on Google Trend keywords by using LSTM algorithm and Python 3.6 version. Here we tried to determine, “ Does LSTM algorithm predict Bitcoin Close price by adding keywords volume from Google trends”. Bitcoin price dataset was downloaded hourly using coinapi.io API and Google Trends keywords were downloaded hourly using python pytrend library. Finally chosen Bitcoin, BTC, Blockchain, Crypto currency LSTM algorithm predicted Bitcoin Close prices better than we expected by improving its learning in every epoch.