FOREX Trend Classification using Machine Learning Techniques

  title={FOREX Trend Classification using Machine Learning Techniques},
  author={AREEJ ABDULLAH BAASHER and M. Waleed}
(Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this paper, we investigate the prediction of the High exchange rate daily trend as a binary classification problem, with uptrend and downtrend outcomes. A large number of basic features driven from the time series data, including technical analysis features are generated using multiple history time windows. Various feature selection and feature extraction techniques are used to… CONTINUE READING
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