This paper describes how cooperative coevolution can be used for GP of technical trading rules. A number of different methods of choosing collaborators for fitness evaluation are investigated. Several of the methods outperformed, at a statistically significant level, a buy-and-hold strategy for the S&P500 on the testing period from 1990-2002, even taking into account transaction costs.

Numerous empirical studies investigate the profitability of technical trading rules in a wide variety of markets and many find positive profits. Despite positive evidence about profitability and improvements in testing procedures, skepticism about technical trading profits remains widespread among academics mainly due to data snooping problems. This study mitigates data snooping problems by con...

In this paper we investigate the recently documented trading profits based on technical trading rules in an asset pricing framework that incorporates jump risk and time-varying risk premia. Following Brock, Lakonishok, and LeBaron (1992), we apply popular technical trading rules to the daily S&P 500 index over a long period of time. Trading profits are examined using bootstrap simulation to add...

In this study, we focused on Tehran stock exchange market analysis based on applying moving average rules. The Tehran stock exchange in the Middle East has evolved into an exciting and growing marketplace where individual and institutional investor trade securities of over 420 companies. In an attempt to examine the ability to earn excess return by exploiting moving average rules, the average a...

Recent studies in financial markets suggest that technical analysis can be a very useful tool in predicting the trend. Trading systems are widely used for market assessment however parameter optimization of these systems has adopted little concern. In this paper, to explore the potential power of digital trading, we present a new MATLAB tool based on genetic algorithms, which specializes in par...

The main task of any trader is the selection of profitable strategies for trading a financial instrument. One of the simplest ways to represent trading rules is binary decision trees based on the comparison of current values of technical indicators with some absolute values. This approach simplifies the creation of trading systems but their validity is limited to short-term intervals of trade. ...