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Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86094757" target="_blank" >RIV/61989100:27510/15:86094757 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.eswa.2015.08.010" target="_blank" >http://dx.doi.org/10.1016/j.eswa.2015.08.010</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.eswa.2015.08.010" target="_blank" >10.1016/j.eswa.2015.08.010</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick

  • Original language description

    Predicting stock prices is an importanto bjective in the financial world. This paper presents a novel forecasting model for stock markets on the basis of the wrapper ANFIS (Adaptive Neural Fuzzy Inference System) -ICA (Imperialist Competitive Algorithm)and technical analysis of Japanese Candlestick. Two approaches of Raw-based and Signal-based are devised to extract the model's input variables with 15 and 24 features, respectively. The correct predictions percentages for periods of 1-6 days with the total number of buy and sell signals are considered as output variables. In proposed model, the ANFIS prediction results are used as a cost function of wrapper model and ICA isused to select the most appropriate features. This novel combination of featureselection not only takes advantage of ICA optimization swiftness, but also the ANFIS prediction accuracy. The emitted buy and sell signals of the model revealed that Signal databases approach gets better results with 87% prediction accura

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Expert Systems with Applications

  • ISSN

    0957-4174

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    23

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9235

  • Pages from-to

    9221

  • UT code for WoS article

    000362613000013

  • EID of the result in the Scopus database

    2-s2.0-84940973455