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Optimization of trading rules for the spanish stock market by genetic programming

  • Sergio Luengo
  • , Stephan Winkler
  • , David F. Barrero
  • , Bonifacio Castaño*
  • *Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

Abstract

This paper deals with the development of a method for generating input and output signals in the Spanish stock market. It is based on the application of set of simple trading rules optimized by genetic programming. To this aim we use the HeuristicLab software. To evaluate the performance of our method we make a comparison with other traditional methods such as Buy & Hold and Simple Moving Averages Crossover. We study three different market scenarios: bull market, bear market and sideways market. Empirical test series show that market global behavior has a great influence on the results of each method and that strategies based on genetic programming perform best in the sideways market.

OriginalspracheEnglisch
TitelCurrent Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Proceedings
Redakteure/-innenChang-Hwan Lee, Yongdai Kim, Young Sig Kwon, Juntae Kim, Moonis Ali
Herausgeber (Verlag)Springer
Seiten623-634
Seitenumfang12
ISBN (Print)9783319190655
DOIs
PublikationsstatusVeröffentlicht - 2015
Veranstaltung28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015 - Seoul, Südkorea
Dauer: 10 Juni 201512 Juni 2015

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band9101
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015
Land/GebietSüdkorea
OrtSeoul
Zeitraum10.06.201512.06.2015

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