Czasopismo
Tytuł artykułu
Autorzy
Warianty tytułu
Języki publikacji
Abstrakty
In the next chapter, the expert encoding technique and the decision rules are presented as well as the content of financial data used to learn and to test the proposed system. In section 3, the evolution process is detailed and the principles of genetic operators are described. This section also contains the specification of genetic algorithm and the learning process. In section 4, the evolutionary trading system, called ACT, is presented. The proposed methodology is illustrated using the INFFC time series and validated on the real-life trading data extracted from the Paris Stock Exchange database. A few snapshots of the trading system show the approach and obtained results. Conclusions are drawn in the last section. (fragment of text)
Rocznik
Strony
203--215
Opis fizyczny
Twórcy
autor
- Uniwersytet Louis Pasteura w Strasburgu, Francja
Bibliografia
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- Creedy J., Vance L.M.: Nonlinear Economic Models. Edward Elgar Publ. 1997.
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- Korczak J., Jajuga K., Novak J.P., Dizdarevic E., Ritter P.: Genetic Evolution of Neural Network Models for Financial Market Forecasting, Nonlinear Financial Forecasting, Proc. of the first INFFC, R. Caldwell (ed.), Finance and Technology, 1997, pp. 139-152.
- Korczak J.: Ewolucyjny model gry na giełdzie. Proc. Human-Computer Interface'97, Z. Kubiak (ed.), Sopot 1997.
- Murphy J.: Technical Analysis of the Financial Markets. NUIF 1998.
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- Wienholtz A.: Application des ondelettes à la prediction financière. Rap. bit. LSHT, Université Louis Pasteur, Illkirch 1998.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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