Genetic algorithms to optimise the time to make stock market investment

Authors:
David de la Fuente;Alejandro Garrido;Jaime Laviada;Alberto Gómez
Affiliations:
University of Oviedo;University of Oviedo;University of Oviedo;University of Oviedo
Venue:
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Year:
2006

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Abstract

The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that is used, with the article focusing on the different ways that chromosomes can be designed and on how the pertinent evaluation mechanism is established. The problem will be based on the speculation systems that are typical of Technical Analysis.