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Hybrid fuzzy neural network to predict price direction in the German DAX-30 index

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Hybrid fuzzy neural network to predict price direction in the German DAX-30 index

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García García, F.; Guijarro, F.; Oliver-Muncharaz, J.; Tamosiuniene, R. (2018). Hybrid fuzzy neural network to predict price direction in the German DAX-30 index. Technological and Economic Development of Economy. 24(6):2161-2178. https://doi.org/10.3846/tede.2018.6394

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121830

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Title: Hybrid fuzzy neural network to predict price direction in the German DAX-30 index
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials
Issued date:
Abstract:
[EN] Intraday trading rules require accurate information about the future short term market evolution. For that reason, next-day market trend prediction has attracted the attention of both academics and practitioners. This ...[+]
Subjects: Trend forecasting , Stock exchange index , Technical indicators , Artificial neural networks , Fuzzy rule-based systems , HyFIS
Copyrigths: Reconocimiento (by)
Source:
Technological and Economic Development of Economy. (issn: 2029-4913 )
DOI: 10.3846/tede.2018.6394
Publisher:
Vilnius Gediminas Technical University
Publisher version: http://doi.org/10.3846/tede.2018.6394
Type: Artículo

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