Title
Analysis of an Evaluation Function Applied to Stock Market Speculation Using Genetic Algorithms
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 genes 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
Venue
Keywords
2005
ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2
Stock exchange speculation,Genetic Algorithms,Technical Analysis,Chartism
Field
DocType
Citations 
Econometrics,Speculation,Computer science,Evaluation function,Stock market,Genetic algorithm
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Alejandro Garrido162.07
David De La Fuente2456111.59
Raúl Pino34210.24
Nazario Garcia484.57