Використання методів машинного навчання для торгівлі на ринку Forex

Abstract

The Foreign exchange (Forex) market is the world’s largest financial market, with an average daily trading volume surpassing 1 trillion U. S. dollars. Forex trading entails the simultaneous buying of one currency and selling of another. Business and governments engaged in international trade must convert foreign currency earnings into their domestic currency, accounting for around 5% of the daily turnover. The remaining 95% consists of speculative trading aimed at generating profit. But Forex trading is always associated with high risks, so to reduce risks and increase profits, it’s better to use an automatic system that will work based on machine learning methods.