Price Trackers Inspired by Immune Memory

  • William O. Wilson
  • Phil Birkin
  • Uwe Aickelin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4163)


In this paper we outline initial concepts for an immune inspired algorithm to evaluate price time series data. The proposed solution evolves a short term pool of trackers dynamically through a process of proliferation and mutation, with each member attempting to map to trends in price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. Tests are performed to examine the algorithm’s ability to successfully identify trends in a small data set. The influence of the long term memory pool is then examined. We find the algorithm is able to identify price trends presented successfully and efficiently.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • William O. Wilson
    • 1
  • Phil Birkin
    • 1
  • Uwe Aickelin
    • 1
  1. 1.School of Computer ScienceUniversity of NottinghamUK

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