Title
Genetic algorithms to optimise the time to make stock market investment
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.
Year
DOI
Venue
2006
10.1145/1143997.1144298
GECCO
Keywords
Field
DocType
different way,genetic algorithms,pertinent evaluation mechanism,genetic algorithm,artificial intelligence,stock market investment,speculation system,technical analysis,stock market,stock exchange,artificial intelligent
Speculation,Industrial engineering,Computer science,Artificial intelligence,Stock market,Genetic algorithm,Machine learning,Technical analysis
Conference
ISBN
Citations 
PageRank 
1-59593-186-4
6
1.05
References 
Authors
1
4
Name
Order
Citations
PageRank
David De La Fuente1456111.59
Alejandro Garrido262.07
Jaime Laviada384.18
Alberto Gomez45012.62