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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(4): 326-329 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.883

The Use of Artificial Intelligence in Building Automated Trading Systems

Jan Juricek
Abstract—This paper deals with the use of artificial intelligence to improving the results of automated trading systems on stock markets. The article introduces the reader with the concept of long term success in trading in financial markets. It defines general fundamental and mainly technical approach of building automated trading system as well as its components, risk management, entry and exit strategy and money management. This work is focusing on systematical approach and components. It summarizes the findings of systemic approaches over building trade system and an application of the AI (mainly genetic algorithms and neural networks) to find the best solutions, while the use of artificial intelligence principles gives traders a powerful tool in building robust trading systems.

Index Terms—Artificial intelligence, stock trading, trading system, automation.

Jan Juricek is with the Department of System Analyses, University of Economics in Prague, Czech Republic (email: jan.juricek@vse.cz).


Cite:Jan Juricek, "The Use of Artificial Intelligence in Building Automated Trading Systems," International Journal of Computer Theory and Engineering vol. 6, no. 4, pp. 326-329, 2014.

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