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

Sergio Luengo, Stephan Winkler, David F. Barrero, Bonifacio Castaño

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

6 Citations (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.

Original languageEnglish
Title of host publicationCurrent Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Proceedings
EditorsChang-Hwan Lee, Yongdai Kim, Young Sig Kwon, Juntae Kim, Moonis Ali
PublisherSpringer
Pages623-634
Number of pages12
ISBN (Print)9783319190655
DOIs
Publication statusPublished - 2015
Event28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015 - Seoul, Korea, Republic of
Duration: 10 Jun 201512 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9101
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period10.06.201512.06.2015

Keywords

  • Genetic programming
  • Market tendencies
  • Optimization
  • Stock exchange markets
  • Trading rules

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