Investment using technical analysis and fuzzy logic

Deploy fuzzy logic engineering tools in the finance arena, specifically in the technical analysis field. Since technical analysis theory consists of indicators used by experts to evaluate stock prices, the new proposed method maps these indicators into new inputs that can be fed into a fuzzy logic s...

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Bibliographic Details
Published inFuzzy sets and systems Vol. 127; no. 2; pp. 221 - 240
Main Authors Dourra, Hussein, Siy, Pepe
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 16.04.2002
Elsevier
Subjects
Applied sciences
Exact sciences and technology
Finance
Fuzzy relations
Human behavior
Mathematical programming
Operational research and scientific management
Operational research. Management science
Portfolio theory
Signal mapping
Technical analysis
Technical indicators
Technical indicators
Fuzzy relations
Technical analysis
Human behavior
Finance
Signal mapping
Technical indicator
Fuzzy relation
Investment
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Summary:Deploy fuzzy logic engineering tools in the finance arena, specifically in the technical analysis field. Since technical analysis theory consists of indicators used by experts to evaluate stock prices, the new proposed method maps these indicators into new inputs that can be fed into a fuzzy logic system. The only required inputs to these indicators are past sequence of stock prices. This method relies on fuzzy logic to formulate a decision making when certain price movements or certain price formations occur. The success of the system is measured by comparing system output versus stock price movement. The new stock evaluation method is proven to exceed market performance and it can be an excellent tool in the technical analysis field. The flexibility of the system is also demonstrated.
ISSN:0165-0114
1872-6801
DOI:10.1016/S0165-0114(01)00169-5