Financial analysis and fuzzy approach of Fibonacci sequences
by Mohd Khoshnevisan
J. for Global Business Advancement (JGBA), Vol. 5, No. 4, 2012

Abstract: The homological fuzzy analysis for stock trading has been somewhat universally accepted by financial engineers. In this paper, I have made an attempt to modify the Fibonacci recurrences and apply Fuzzy Logic to create topological clusters to classify the stock patterns. In that, I have reviewed some of the previous literature, which is derived from Fibonacci numbers in asset pricing. This fuzzy logic algorithm tends to offer a greater reliability and accuracy for predication stock patterns.

Online publication date: Tue, 19-Mar-2013

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