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SUCCESS RATE OF MARKET SPECULATIONS BASED ON DETECTION OF HEAD AND SHOULDERS BOTTOM CHART PATTERN

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39900869" target="_blank" >RIV/00216275:25530/16:39900869 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    SUCCESS RATE OF MARKET SPECULATIONS BASED ON DETECTION OF HEAD AND SHOULDERS BOTTOM CHART PATTERN

  • Original language description

    Head and Shoulders Chart Pattern is one of the graphical formations signalizing dramatic change of market behaviour. Its detection together with other chart patterns and technical indicators such as MACD is part of discipline known as technical analysis. In our contribution automatic detection algorithm based on nonlinear regression model is utilized. Main goal is evaluation of market speculations successfulness using detection of buying signal by confirmation of head and shoulders down pattern occurrence. Analyses of three different shares (Google Company, Telefonica Company and EUR/USD exchange rate) are performed. Results show great potential of selected business strategy, especially for short time period of holding of share (1 to 5 days).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Hradec Economic Days 2016 : double-blind peer reviewed proceedings of the international scientific conference

  • ISBN

    978-80-7435-636-0

  • ISSN

    2464-6059

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    378-384

  • Publisher name

    Univerzita Hradec Králové

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Feb 2, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article