ct 18: e4

Research Article

Time-Series Prediction of Cryptocurrency Market using Machine Learning Techniques

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  • @ARTICLE{10.4108/eai.7-7-2021.170286,
        author={Mahir Iqbal and Muhammad Shuaib Iqbal and Fawwad Hassan Jaskani and Khurum Iqbal and Ali Hassan},
        title={Time-Series Prediction of Cryptocurrency Market using Machine Learning Techniques},
        journal={EAI Endorsed Transactions on Creative Technologies: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={CT},
        year={2021},
        month={7},
        keywords={data mining, visualization, machine learning, Emerging Nature Inspired Computing},
        doi={10.4108/eai.7-7-2021.170286}
    }
    
  • Mahir Iqbal
    Muhammad Shuaib Iqbal
    Fawwad Hassan Jaskani
    Khurum Iqbal
    Ali Hassan
    Year: 2021
    Time-Series Prediction of Cryptocurrency Market using Machine Learning Techniques
    CT
    EAI
    DOI: 10.4108/eai.7-7-2021.170286
Mahir Iqbal1, Muhammad Shuaib Iqbal2, Fawwad Hassan Jaskani1,*, Khurum Iqbal2, Ali Hassan2
  • 1: Department of Computer Systems Engineering, Faculty of Engineering, Islamia University of Bahawalpur
  • 2: Department of Computer Systems Engineering, College of Electrical and Mechanical Engineering, National University of Science and Technology, Rawalpindi
*Contact email: favadhassanjaskani@gmail.com

Abstract

In the market of cryptocurrency the Bitcoins are the first currency which has gain the significant importance. To predict the market price and stability of Bitcoin in Crypto-market, a machine learning based time series analysis has been applied. Time-series analysis can predict the future ups and downs in the price of Bitcoin. For this purpose we have used ARIMA, FBProphet, XG Boosting for time series analysis as a machine learning techniques. The parameters on the basis of which we have evaluated these models are Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and R2. We conduct experiments on these three techniques but after conducting time series analysis, ARIMA considered as the best model for forecasting Bitcoin price in the crypto-market with RMSE score of 322.4 and MAE score of 227.3. Additionally, this research can be helpful for investors of crypto-market.