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).
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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.
