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Genetic algorithms belong to a class of machine learning algorithms that have been successfully used in a number of research areas. There is a growing interest in their use in financial economics but so far there has been little formal analysis. In stock market, a technical trading rule is a popular tool for analysts and users to do their research and decide to buy or sell their shares. The key issue for the success of a trading rule is the selection of values for all parameters and their combinations. However, the range of parameters can vary in a large domain, so it is difficult for users to find the best parameter combination. By using a genetic algorithm, we can look for both the structure and the parameters of the rules at the same time. We have optimized a trading system that has been developed by Alfredo Rosa using genetic algorithms: a new, complex 16-bars trading rule has been discovered and tested on Italian FIB with brilliant results.

Index Terms: Matlab, source, code, data mining, trading system, stock market prediction, trading rule extraction, genetic algorithms, trading systems, bar chart, candlestick chart, price patterns, parameter combination.

 

 

 

 

 

Figure 1. Genetic structure



An optimized complex price pattern discovered by genetic algorithms.



Demo code (protected P-files) available for performance evaluation. Matlab Financial Toolbox, Genetic Algorithm and Direct Search Toolbox are required.

Release
Date
Major features
1.0

2007.06.11



We recommend to check the secure connection to PayPal, in order to avoid any fraud.
This donation has to be considered an encouragement to improve the code itself.

Genetic Trading System - Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 90 EUROS (less than 126 U.S. Dollars).

Once you have done this, please email us luigi.rosa@tiscali.it
As soon as possible (in a few days) you will receive our new release of Genetic Trading System.

Alternatively, you can bestow using our banking coordinates:
Name :
Luigi Rosa
Address :
Via Pozzo Strada 5 10139 Torino Italy
Bank name:
Poste Italiane
Bank address:
Viale Europa 190 00144 Roma Italy
IBAN (International Bank Account Number) :
IT-50-V-07601-03600-000058177916
BIC (Bank Identifier Code) :
BPPIITRRXXX

The authors are not commodity trading advisors. The information on this site is for trading education only. There are no trading recommendations for any one individual made on this site and this information is paper trades for trading education. All trades are extremely risky and only risk capital should be used when trading. The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 14 SP1. Matlab Financial Toolbox, Genetic Algorithm and Direct Search Toolbox are required. The code provided has to be considered "as is" and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.

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