Oil Price Trackers Inspired by Immune Memory

Wilson, William, Birkin, Phil and Aickelin, Uwe (2006) Oil Price Trackers Inspired by Immune Memory. In: Proceedings of the Workshop on Artificial Immune Systems and Immune System Modelling (AISB 2006), Bristol, UK.

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We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. The resulting sequence of trackers, ordered in time, can be used as a forecasting tool. Examination of the pool of evolving trackers also provides valuable insight into the properties of the crude oil market.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/1019776
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 22 Oct 2007 13:42
Last Modified: 04 May 2020 20:30
URI: https://eprints.nottingham.ac.uk/id/eprint/602

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