Price Trackers Inspired by Immune Memory

Wilson, William and Birkin, Phil and Aickelin, Uwe (2006) Price Trackers Inspired by Immune Memory. In: Proceedings of the 5th International Conference on Artificial Immune Systems (ICARIS 2006), Oeiras, Portugal.

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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.

Item Type:Conference or Workshop Item (Lecture)
Schools/Departments:Faculty of Science > School of Computer Science and Information Technology
ID Code:581
Deposited By:Aickelin, Professor Uwe
Deposited On:12 Oct 2007 16:18
Last Modified:12 Oct 2007 16:18

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