Detail publikace

Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

Originální název

Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

Anglický název

Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT33804,
  author="Karel {Slaný}",
  title="Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour",
  annote="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.",
  address="IEEE Computer Society",
  booktitle="Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems",
  chapter="33804",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Computer Society",
  year="2009",
  month="september",
  pages="141--145",
  publisher="IEEE Computer Society",
  type="conference paper"
}