Abstract
Modern computerized stock trading systems (mechanical trading systems) are based on the simulation of the decision making process and generate advice for traders to buy or sell stocks or other financial tools taking into account the price history, technical analysis indicators, accepted rules of trading and so on. There are many approaches to building stock trading systems proposed in the literature. The applications of the methods of soft computing in this field of researches are analysed in Chapter 2. It is noted that the source of many failures when building really profitable stock trading systems is the ignoring of human factor. It was recognized in [32], after obtaining a negative result that “The trading system loses money and gets a negative Sharpe Ratio. We believe that if expert’s experience is available, it will generate more promising results”
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