Publication result detail

Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

SLANÝ, K.

Original Title

Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

English Title

Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

Type

Paper in proceedings outside WoS and Scopus

Original 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.

English 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

Key words in English

prediction, genetic programming, on-line evolution

Authors

SLANÝ, K.

RIV year

2010

Released

24.09.2009

Publisher

IEEE Computer Society

Location

Klagenfurt

ISBN

978-0-7695-3827-3

Book

Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems

Pages from

141

Pages to

145

Pages count

5

URL

https://www.fit.vut.cz/research/publication/9058/

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/"
}

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