Using learning classifier system for making investment strategies based on institutional analysis

Ju Yin Lin, Chi Pin Cheng, Wen Chih Tsai, An-Pin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The artificial intelligence can dynamically learn and adapt to the change of environments for maximizing the desired goals. This paper conducts simulation experiment to evolve learning classifier system (LCS) for short-term stock forecast decision. Since stock price trend is influenced by unknown and unpredictable surroundings, using LCS to model the fluctuations on financial market allows for the capability to discover the patterns of future trends. Furthermore, the institutional investment is the main consideration of this research by implementing LCS for making strategies. More specifically, LCS is capable of evolving from generation to generation, and in this way can provide the highest profit for future decision-making. In simulation work using real financial data, it is found that LCS produces great profits, and is quite practical for investors.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)
EditorsM.H. Hamza
Pages765-769
Number of pages5
StatePublished - 1 Dec 2004
EventProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics - Innsbruck, Austria
Duration: 16 Feb 200418 Feb 2004

Publication series

NameProceedings of the IASTED International Conference. Applied Informatics

Conference

ConferenceProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics
CountryAustria
CityInnsbruck
Period16/02/0418/02/04

Keywords

  • Institutional investment
  • Learning classifier system
  • Stock market

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  • Cite this

    Lin, J. Y., Cheng, C. P., Tsai, W. C., & Chen, A-P. (2004). Using learning classifier system for making investment strategies based on institutional analysis. In M. H. Hamza (Ed.), Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics) (pp. 765-769). [411-256] (Proceedings of the IASTED International Conference. Applied Informatics).