Construction of a Financial Transaction Strategy Tree using Genetic Programming by Technical Index

Abstract

Recently, many researchers have studied stock trading using technical analysis. However, it is necessary to have deep knowledge to use such technical analysis and it is difficult to achieve profitability using this technique. Therefore, using Genetic Programming, we construct an evolutionary model that considers the technical index for devising a profitable trading strategy. Finally, we confirmed the effectiveness of our model using historical data of the stock market.