Currency Exchange Rate Prediction using Machine learning techniques

Abstract

The project report represents a machine learning based approach to predict currency exchange rate based on fundamental analysis and technical analysis. In our work, we have developed a complete functioning expert advisor (EA) which utilizes Fundamentals of forex by machine learning method such as ridge regression and Technical indicators by fuzzy logic. The project has developed an EA which opens and closes trades on basis of signals provided to it with machine learning methods. Humans can make mistakes in analyzing data, project has developed a systematic way to analyze data on same scale with help of Artificial Intelligence methods. EA developed is able to place trades with minimum latency usually in milli seconds based on signals provided. In this project, signals are provided without lagging at the start of candle or bar (Time frame). It does not recalculate data. When signal is provided, it remains solid till end of candle, which increases the accuracy.