Predicting the Price of Bitcoin Using Machine Learning

@article{McNally2018PredictingTP,
  title={Predicting the Price of Bitcoin Using Machine Learning},
  author={Sean McNally and Jason Roche and Simon Caton},
  journal={2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)},
  year={2018},
  pages={339-343}
}
The goal of this paper is to ascertain with what accuracy the direction of Bitcoin price in USD can be predicted. The price data is sourced from the Bitcoin Price Index. The task is achieved with varying degrees of success through the implementation of a Bayesian optimised recurrent neural network (RNN) and a Long Short Term Memory (LSTM) network. The LSTM achieves the highest classification accuracy of 52% and a RMSE of 8%. The popular ARIMA model for time series forecasting is implemented as… CONTINUE READING

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