Result Details

Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

SLANÝ, K. Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour. Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems. Klagenfurt: IEEE Computer Society, 2009. p. 141-145. ISBN: 978-0-7695-3827-3.
Type
conference paper
Language
English
Authors
Slaný Karel, Ing., DCSY (FIT)
Abstract

In this paper a self-adapting architecture for FOREX market prediction, which is being developed, is described. The proposed system utilizes genetic programming (GP) for predictor representation. The goal of the system is the design and adaptation of simple predictors which can either be used by the system itself or be 'manually' used by a human trader.

Keywords

prediction, genetic programming, on-line evolution

Published
2009
Pages
141–145
Proceedings
Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems
Conference
2009 International Conference on Adaptive and Intelligent Systems
ISBN
978-0-7695-3827-3
Publisher
IEEE Computer Society
Place
Klagenfurt
BibTeX 
@inproceedings{BUT33804,
  author="Karel {Slaný}",
  title="Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour",
  booktitle="Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems",
  year="2009",
  pages="141--145",
  publisher="IEEE Computer Society",
  address="Klagenfurt",
  isbn="978-0-7695-3827-3",
  url="https://www.fit.vut.cz/research/publication/9058/"
}
Files
Projects
Design and hardware implementation of a patent-invention machine, GACR, Standardní projekty, GA102/07/0850, start: 2007-01-01, end: 2009-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Evolvable Hardware Research Group (RG EHW)
Departments
Department of Computer Systems (DCSY)
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