Artificial Adaptive Market Traders Based in Genetic Algorithms for a Stock Market Simulator
Some aspects of classical stock market economic theories are unrealistic and do not fulfill the expectations of market traders. Other paradigms can help to overcome the shortcomings of these theories. In this paper, a paradigm based on learning conception is presented. A simulator has been developed to research the stock market. Some aspects like dynamic prices, investment strategies, market statistics have been considered. Also, an artificial adapted market trader based on genetic algorithms has been implemented. Some experimental work has been done to observe the behavior of these automatic market traders in different situations.
KeywordsGenetic Algorithm Stock Market Genetic Operator State String Mating Pool
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- 2.Arthur W. (1995) Complexity in Economics and Financial markets. Complexity 1: 20–25Google Scholar
- 4.Dacorogna M (1993) The Main Ingredients of Simple Trading Models for use in Genetic Algorithm Optimization. Internal Document MMD-03-22, Olsen & AssociatesGoogle Scholar
- 5.Goldberg D. E. (1989) Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, MassachusettsGoogle Scholar
- 6.Maley C. (1995) The co-evolution of mutation rates, in Advances in Artificial Life, Springer-Verlag, 234–245Google Scholar
- 7.Mitchell M. (1996) An Introduction to Genetic Algorithms, MIT PressGoogle Scholar
- 8.Palmer R. G., Arthur W., Holland J., LeBaron B., Tyler P. (1994) Artificial Economic Life: a Simple Model of a Stockmarket, Physica D, vol 75, 264274Google Scholar
- 10.Wilder J. (1978) New Concepts in Technical Trading Systems. Greensboro, NC: Trend ResearchGoogle Scholar
- 11.Williams L. (1984) The Ultimate Oscillator. Technical Analysis of Stocks and Commodities, vol 3 (4), 140–141Google Scholar
- 12.Wilson S. W. (1985) Knowledge Growth in an Artificial Animal. In Greffenstette, ed. 15t International Conference on Genetic Algorithms and Their Applications, Pittsburgh, July 1985Google Scholar