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Wilson, William, 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)
RIS ID:	https://nottingham-repository.worktribe.com/output/1019788
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User:	Aickelin, Professor Uwe
Date Deposited:	12 Oct 2007 15:18
Last Modified:	04 May 2020 20:30
URI:	https://eprints.nottingham.ac.uk/id/eprint/581

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