Comparative study of machine learning algorithms for currency rate forecasting

Abstract

In this article multiple Machine Learning algorithms have been analyzed in terms of currency rate forecasting, in order to identify the most accurate one. The scope of the study was limited to forecast USDKZT using market variables as a dataset. Comparative study shown that Extreme Random Forecast outperforms other suggested Machine Learning algorithms.