DocumentCode
2863149
Title
A comparison of adaptive and static agents in equity market trading
Author
Schoreels, Cyril ; Garibaldi, Jonathan M.
Author_Institution
Sch. of Comput. Sci. & IT, Nottingham Univ., UK
fYear
2005
fDate
19-22 Sept. 2005
Firstpage
393
Lastpage
399
Abstract
This paper aims to determine whether an adaptive agent population performs better than a static population. A static population is evolved on historical equity market data from the DAX-30, split into training and testing segments. An adaptive population is retrained continuously over the most recent available data that becomes available with each passing day. For comparison their performance over the out-of-sample test data is measured. Results obtained indicate a clear superiority of the adaptive over the static approach.
Keywords
electronic trading; software agents; adaptive agent population; equity market trading; static agent population; Computer science; Financial management; Genetic algorithms; Genetic programming; Humans; Neural networks; Portfolios; Power system modeling; Predictive models; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN
0-7695-2416-8
Type
conf
DOI
10.1109/IAT.2005.7
Filename
1565571
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