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Pattern recognition and financial time‐series
Authors:Dave Elliman
Abstract:This paper investigates financial time‐series from the perspective of a practitioner in artificial intelligence methods and pattern recognition. It presents results from statistical experiments which suggest that financial markets operate with a measure of inefficiency and predictability. However, identifying the nature of any regularities and patterns presents a difficult challenge to the artificial intelligence community, in that established techniques make assumptions about the underlying process that mostly prove to be invalid for this class of data. Copyright © 2007 John Wiley & Sons, Ltd.
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