Frequent Knowledge Patterns in Evolutionary Decision Support Systems for Financial Time Series Analysis
This chapter discusses extracting and reusing frequent knowledge patterns in building trading experts in an evolutionary decision support system for financial time series analysis. It focuses on trading experts built by an evolutionary algorithm as binary sequences representing subsets of a specific set of trading rules, where frequent knowledge patterns correspond to common building blocks of trading rules occurring in previous trading experts. Reusing frequent knowledge patterns leads to a significant reduction of the search space, due to fixing a part of chromosome and running the evolution process to set only the remaining genes, without significant decreases of results.
This chapter presents a number of experiments carried out on financial time series from the Paris Stock Exchange, discusses some examples of the frequent knowledge patterns as well as analyses the results obtained in terms of their financial relevance and compares them with some popular benchmarks.
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- 1.Agrawal, R., Srikant, R.: Mining Sequential Patterns. In: Proc. of the International Conference on Data Engineering, ICDE, Taipei, Taiwan (1995)Google Scholar
- 3.Bauer, R.: Genetic Algorithms and Investment Strategies. Wiley, Chichester (1994)Google Scholar
- 5.Colby, W., Meyers, T.: The Encyclopedia of Technical Market Indicators. Down Jones-Irwin (1990)Google Scholar
- 7.Dempsey, I., O’Neill, M., Brabazon, A.: Adaptive Trading with Grammatical Evolution. In: Proc. of the 2006 Congress on Evolutionary Computation (CEC 2006), pp. 2587–2592. IEEE, Los Alamitos (2006)Google Scholar
- 13.Lipinski, P., Korczak, J.: Performance Measures in an Evolutionary Stock Trading Expert System. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3039, pp. 835–842. Springer, Heidelberg (2004)Google Scholar
- 14.Loraschi, A., Tettamanzi, A.: An Evolutionary Algorithm for Portfolio Selection within a Downside Risk Framework. In: Dunis, C.L. (ed.) Forecasting Financial Markets, pp. 275–286. Wiley, Chichester (1996)Google Scholar
- 17.Murphy, J.: Technical Analysis of the Financial Markets, NUIF (1998)Google Scholar
- 18.Neely, C., Weller, P., Dittmar, R.: Technical Analysis in the Foreign Exchange market Profitable? A Genetic Programming Approach. Journal of Financial Quantitative Analysis 32, 405–426 (1997)Google Scholar
- 20.Tsang, E., Li, J., Markose, S., Er, H., Salhi, A., Iori, G.: EDDIE in Financial Decision Making. Journal of Management and Economics 4(4) (November 2000)Google Scholar