A Compensatory Fuzzy Logic Model in Technical Trading

This work presents a novel approach to prediction of financial asset prices. Its main contribution is the combination of compensatory fuzzy logic and the classical technical analysis to build an efficient prediction model. The interpretability properties of the model allow its users to incorporate a...

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Main Authors: Norma P. Rodríguez-Cándido, Rafael A. Espin-Andrade, Efrain Solares, Witold Pedrycz
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/10/1/36
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author Norma P. Rodríguez-Cándido
Rafael A. Espin-Andrade
Efrain Solares
Witold Pedrycz
author_facet Norma P. Rodríguez-Cándido
Rafael A. Espin-Andrade
Efrain Solares
Witold Pedrycz
author_sort Norma P. Rodríguez-Cándido
collection DOAJ
description This work presents a novel approach to prediction of financial asset prices. Its main contribution is the combination of compensatory fuzzy logic and the classical technical analysis to build an efficient prediction model. The interpretability properties of the model allow its users to incorporate and consider virtually any set of rules from technical analysis, in addition to the investors’ knowledge related to the actual market conditions. This knowledge can be incorporated into the model in the form of subjective assessments made by investors. Such assessments can be obtained, for example, from the graphical analysis commonly performed by traders. The effectiveness of the model was assessed through its systematic application in the stock and cryptocurrency markets. From the results, we conclude that when the model shows a high degree of recommendation, the actual financial assets show high effectiveness.
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spelling doaj.art-16444ddc10ae4b29b6e1f34ba8759af82023-11-21T11:03:08ZengMDPI AGAxioms2075-16802021-03-011013610.3390/axioms10010036A Compensatory Fuzzy Logic Model in Technical TradingNorma P. Rodríguez-Cándido0Rafael A. Espin-Andrade1Efrain Solares2Witold Pedrycz3Faculty of Accounting and Management, Universidad Autónoma de Coahuila, Torreon 27000, MexicoFaculty of Accounting and Management, Universidad Autónoma de Coahuila, Torreon 27000, MexicoFaculty of Accounting and Management, Universidad Autónoma de Coahuila, Torreon 27000, MexicoDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, CanadaThis work presents a novel approach to prediction of financial asset prices. Its main contribution is the combination of compensatory fuzzy logic and the classical technical analysis to build an efficient prediction model. The interpretability properties of the model allow its users to incorporate and consider virtually any set of rules from technical analysis, in addition to the investors’ knowledge related to the actual market conditions. This knowledge can be incorporated into the model in the form of subjective assessments made by investors. Such assessments can be obtained, for example, from the graphical analysis commonly performed by traders. The effectiveness of the model was assessed through its systematic application in the stock and cryptocurrency markets. From the results, we conclude that when the model shows a high degree of recommendation, the actual financial assets show high effectiveness.https://www.mdpi.com/2075-1680/10/1/36share tradinginvestment modelingknowledge interpretabilitycomputational intelligence
spellingShingle Norma P. Rodríguez-Cándido
Rafael A. Espin-Andrade
Efrain Solares
Witold Pedrycz
A Compensatory Fuzzy Logic Model in Technical Trading
Axioms
share trading
investment modeling
knowledge interpretability
computational intelligence
title A Compensatory Fuzzy Logic Model in Technical Trading
title_full A Compensatory Fuzzy Logic Model in Technical Trading
title_fullStr A Compensatory Fuzzy Logic Model in Technical Trading
title_full_unstemmed A Compensatory Fuzzy Logic Model in Technical Trading
title_short A Compensatory Fuzzy Logic Model in Technical Trading
title_sort compensatory fuzzy logic model in technical trading
topic share trading
investment modeling
knowledge interpretability
computational intelligence
url https://www.mdpi.com/2075-1680/10/1/36
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