Constructing a Risk-Averse Forex Trading Strategy Using Restricted Genetic Network Programming

Abstract

Recently, many researchers have studied foreign exchange trading using technical analysis. However, it is difficult to achieve profitability using this technique. Therefore, using Genetic Network Programming, we construct a model that considers the technical index signal strength for devising a profitable trading strategy. Finally, we confirmed the effectiveness of our model using historical data of the exchange market.