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Evolution of Day Trade Agent Strategy by Means of Genetic Programming with Machine Learning

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Book cover Realistic Simulation of Financial Markets

Part of the book series: Evolutionary Economics and Social Complexity Science ((EESCS,volume 4))

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Abstract

The Evolution of Day Trading Strategy by Means of Genetic Programming and Machine Learning

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References

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Author information

Authors and Affiliations

  1. Osaka Prefecture University, 1-1 Gakuencho, Naka-ku, Sakai, Osaka, 599-8531, Japan

    Naoki Mori

Authors
  1. Naoki Mori
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Correspondence to Naoki Mori .

Editor information

Editors and Affiliations

  1. Institute for Liberal Arts and Sciences, Kyoto University Institute, Kyoto, Kyoto, Japan

    Hajime Kita

  2. Faculty of Economics, Kindai University, Osaka, Japan

    Kazuhisa Taniguchi

  3. Graduate School of Economics, Osaka City University, Osaka, Japan

    Yoshihiro Nakajima

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Mori, N. (2016). Evolution of Day Trade Agent Strategy by Means of Genetic Programming with Machine Learning. In: Kita, H., Taniguchi, K., Nakajima, Y. (eds) Realistic Simulation of Financial Markets. Evolutionary Economics and Social Complexity Science, vol 4. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55057-0_5

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