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

  • Naoki MoriEmail author
Part of the Evolutionary Economics and Social Complexity Science book series (EESCS, volume 4)


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


Support Vector Machine Genetic Programming Stock Price Trading Strategy Stock Prex 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Y. Akimoto, N. Mori, I. Ono, Y. Nakajima, H. Kita, K. Matsumoto, Development of u-mart system with plural brands and plural markets. Trans. Soc. Instrum. Control Eng. 47 (11), 541–548Google Scholar
  2. 2.
    J.A. Biles, GenJam: a genetic algorithm for generating Jazz Solos, in The 1994 International Computer Music Conference (ICMA, San Francisco, 1994)Google Scholar
  3. 3.
    C. Cortes, V. Vapnik, Support-vector network. Mach. Learn. 20 (3), 273–297 (1995)Google Scholar
  4. 4.
    J.D. Farmer, L. Gillemot, S. Mile, A. Sen, What really causes large price changes? Quantit. Financ. 4, 383–397 (2004)CrossRefGoogle Scholar
  5. 5.
    D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning (Addison-Wesley Longman Publishing Co., Inc., Boston, 1989)Google Scholar
  6. 6.
    J.H. Holland, Adaptation in Natural and Artificial Systems (University of Michigan Press, Ann Arbor, 1975)Google Scholar
  7. 7.
    J.R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection (MIT Press, Cambridge, 1992)Google Scholar
  8. 8.
  9. 9.
    M. Nagao, N. Mori, Y. Nakajima, K. Matsumoto, The day trading strategy evolution by means of genetic programming with day trade agent framework. Trans. Inst. Syst. Control Inf. Eng. 21 (12), 400–407Google Scholar
  10. 10.
    H.-P. Schwefel, Evolution and Optimum Seeking (John Wiley & Sons, Inc., New York, 1995)Google Scholar
  11. 11.
    V. Vapnik, The Nature of Statistical Learning Theory (Springer-Verlag, New York, 1995)CrossRefGoogle Scholar

Copyright information

© Springer Japan 2016

Authors and Affiliations

  1. 1.Osaka Prefecture UniversityOsakaJapan

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