GAs and Financial Analysis

  • Authors:

  • Matty Leus;Dwight Deugo;Franz Oppacher;Robert Cattral

  • Affiliations:

  • -;-;-;-

  • Venue:
  • Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
  • Year:
  • 2001

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Abstract

Technical analysis provides an alternative, and in some ways simpler, method of predicting stock movement. The majority of existing genetic algorithm approaches in the financial area look at fundamental stock characteristics to determine trading rules. Our hypothesis is that one can develop a genetic algorithm that simultaneously considers many different technical rather than fundamental characteristics to develop rules that indicate attractive buying opportunities and signal that it is time to sell specific stocks.