Oil Price Trackers Inspired by Immune Memory
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 l...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2006
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| Online Access: | https://eprints.nottingham.ac.uk/602/ |
| _version_ | 1848790441985572864 |
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| author | Wilson, William Birkin, Phil Aickelin, Uwe |
| author_facet | Wilson, William Birkin, Phil Aickelin, Uwe |
| author_sort | Wilson, William |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:12:40Z |
| format | Conference or Workshop Item |
| id | nottingham-602 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:12:40Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-6022020-05-04T20:30:26Z https://eprints.nottingham.ac.uk/602/ Oil Price Trackers Inspired by Immune Memory Wilson, William Birkin, Phil Aickelin, Uwe 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. 2006 Conference or Workshop Item PeerReviewed 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. |
| spellingShingle | Wilson, William Birkin, Phil Aickelin, Uwe Oil Price Trackers Inspired by Immune Memory |
| title | Oil Price Trackers Inspired by Immune Memory |
| title_full | Oil Price Trackers Inspired by Immune Memory |
| title_fullStr | Oil Price Trackers Inspired by Immune Memory |
| title_full_unstemmed | Oil Price Trackers Inspired by Immune Memory |
| title_short | Oil Price Trackers Inspired by Immune Memory |
| title_sort | oil price trackers inspired by immune memory |
| url | https://eprints.nottingham.ac.uk/602/ |