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arXiv · 1004.3884

Oil Price Trackers Inspired by Immune Memory

WIlliam Wilson·Phil Birkin·Uwe Aickelin
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Abstract

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.

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WIlliam Wilson, Phil Birkin, Uwe Aickelin. 2010-04-22. Oil Price Trackers Inspired by Immune Memory. https://arxiv.org/abs/1004.3884

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