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Multi-classifier based on Elliott wave's recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA14017K7" target="_blank" >RIV/61988987:17310/13:A14017K7 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-classifier based on Elliott wave's recognition

  • Original language description

    This article deals with prediction by means of Elliott wave recognition. Our goal is to find and recognize important Elliott wave patterns which repeatedly appear in the market history for the purpose of prediction of subsequent trader's action. The pattern recognition approach is based on neural networks. We focus on reliability of Elliott wave pattern recognition made by the developed algorithms which also causes the reduction of the calculation costs.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    COMPUT MATH APPL

  • ISSN

    0898-1221

  • e-ISSN

  • Volume of the periodical

    66

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    213-225

  • UT code for WoS article

    000321941300012

  • EID of the result in the Scopus database