Dynamic Index Trading using a Gene Regulatory Network Model

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Title: Dynamic Index Trading using a Gene Regulatory Network Model
Authors: Nicolau, Miguel
O'Neill, Michael
Brabazon, Anthony
Permanent link: http://hdl.handle.net/10197/8251
Date: 25-Apr-2014
Abstract: This paper presents a realistic study of applying a gene regulatory model to financial prediction. The combined adaptation of evolutionary and developmental processes used in the model highlight its suitability to dynamic domains, and the results obtained show the potential of this approach for real-world trading.
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): 2014 Springer-Verlag
Keywords: Gene regulatory networksFinancial predictionIndex tradingDynamic environments
DOI: 10.1007/978-3-662-45523-4_21
Language: en
Status of Item: Peer reviewed
Is part of: Esparcia-Alcázar A., Mora A. (eds.). Applications of Evolutionary Computation
Conference Details: Applications of Evolutionary Computation - EvoApplications 2014, Granada, Spain, April 23-25, 2014, Proceedings, Granada, Spain, April, 2014
Appears in Collections:Business Research Collection

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