Bitcoin Price Prediction using Long Short Term Memory Neural Networks

Abstract

Cryptocurrency investment has been on trend for the last many years. Many studies have been done on cryptocurrency price prediction based on their parameters and factors. In this research, we concentrate on bitcoin as one of the well-known cryptocurrencies. In this regard, some machine learning approaches predicate the bitcoin price. Neural Networks and Recurrent Neural Networks seem great in bitcoin price prediction and relatively accurate because of their ability to work on time-series data. In this paper, the survey on the performance of LSTM (Long Short-Term Memory), which is one of the Recurrent Neural Networks and is suitable for time-series problems, has proven it can be used for bitcoin price prediction investigation. In this paper, to fulfil this measurement task, a model has been implemented to train and test the dataset; the last year's data was only used because of the fluctuation of the price in recent years. The result shows that LSTM can predict the price remarkably with acceptable accuracy.