Prediction of Expert Advisor Trading System Using An Artificial Intelligence System

The paper deals with a technical analysis for foreign exchange price predictions using Japanese Candlestick Patterns and Support Vector Machine (SVM). Manual traders are frequently influenced by emotions, which might result in a huge loss. As a result, this research aims to develop an Expert Advisor system that trades without regard for human emotions. To predict the movement of the foreign exchange price, we present a method that combines the Japanese Candlestick Patterns and the SVM algorithm. The article discusses the use of Japanese Candlestick Patterns and the SVM algorithm in expert advisor system to generate accurate predictions of foreign exchange prices. The experimental results on the Euro-Dollar (EURUSD) price indicate that the combination of the Japanese candlestick pattern and the SVM algorithm is effective at providing information for EURUSD price prediction. The proposed algorithm's performance is evaluated, demonstrating that it is capable of predicting the movement of foreign exchange prices using the Japanese Candlestick Patterns and SVM algorithm.