FoRex Trading Using Supervised Machine Learning

  • Authors

    • Thuy Nguyen Thi Thu
    • Vuong Dang Xuan
    2018-10-07
    https://doi.org/10.14419/ijet.v7i4.15.23024
  • Classification, Foreign Exchange rate, Supervised Machine Learning, Transaction.

  • Abstract

    The exchange rate of each money pair can be predicted by using machine learning algorithm during classification process. With the help of supervised machine learning model, the predicted uptrend or downtrend of FoRex rate might help traders to have right decision on FoRex transactions. The installation of machine learning algorithms in the FoRex trading online market can automatically make the transactions of buying/selling. All the transactions in the experiment are performed by using scripts added-on in transaction application. The capital, profits results of use support vector machine (SVM) models are higher than the normal one (without use of SVM).

     

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  • How to Cite

    Nguyen Thi Thu, T., & Dang Xuan, V. (2018). FoRex Trading Using Supervised Machine Learning. International Journal of Engineering & Technology, 7(4.15), 400-404. https://doi.org/10.14419/ijet.v7i4.15.23024

    Received date: 2018-12-03

    Accepted date: 2018-12-03

    Published date: 2018-10-07