In this research, we propose a method of construction of trading rules based on evolutionary computation. In our proposed method, trading rules are expressed by binary trees(so-called strategy trees). They include both technical indicators and their parameters. We tried to optimize the strategy trees using Genetic Programming. Then, we simulated using real foreign exchange market data. As a result, it showed high win probability.