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Price Trackers Inspired by Immune Memory

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  • William Wilson
  • Phil Birkin
  • Uwe Aickelin

Abstract

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.

Suggested Citation

  • William Wilson & Phil Birkin & Uwe Aickelin, 2010. "Price Trackers Inspired by Immune Memory," Papers 1004.3939, arXiv.org.
  • Handle: RePEc:arx:papers:1004.3939
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    File URL: http://arxiv.org/pdf/1004.3939
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