Dynamic Index Trading using a Gene Regulatory Network Model

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@InProceedings{nicolau:dituagrnm:2014,

• author = "Miguel Nicolau and Michael O'Neill and Anthony Brabazon",
• title = "Dynamic Index Trading using a Gene Regulatory Network Model",
• booktitle = "17th European Conference, EvoApplications 2014 Proceedings of EvoFIN",
• editor = "Anna Isabel Esparcia-Alcazar and Antonio Miguel Mora",
• pages = "251--263",
• year = "2014",
• volume = "8602",
• series = "LNCS",
• address = "Granada, Spain",
• month = apr,
• organisation = "EvoStar",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1007/978-3-662-45523-4_21",
• abstract = "This paper presents a realistic study of applying a gene regulatory model to financial prediction. The combined adaptation of evolutionary and developmental processes used in the model highlight its suitability to dynamic domains, and the results obtained show the potential of this approach for real-world trading.",

}

Genetic Programming entries for Miguel Nicolau Michael O'Neill Anthony Brabazon

Citations