IDEAS home Printed from https://ideas.repec.org/a/ahc/journl/yid1330.html
   My bibliography  Save this article

Use of neural networks for improvement of the trade systems based on the technical analysis

Author

Listed:
  • E. A. Skryabin

Abstract

This article is considered as a set of decisions on improvement of the standard technical indicator CCI by use of neural networks. Enhancement is based on use of neural networks of direct distribution for calculation by the CCI more exact method which we called nCCI. This new tool will be used in two situations. First, it will allow to predict the market, in our case of the future for the RTS Index. Secondly, he will predict the value of one company which is included in calculation of this index. In results we will receive the indicator which will be able to predict as the future for the RTS Index, and separate shares which enter calculation of this future will behave.

Suggested Citation

  • E. A. Skryabin, 0. "Use of neural networks for improvement of the trade systems based on the technical analysis," Entrepreneur’s Guide, JSC “Publishing Agency “Science and Educationâ€, issue 31.
    • Handle: RePEc:ahc:journl:y::id:1330
    as

    Download full text from publisher

    File URL: https://www.pp-mag.ru/jour/article/viewFile/1330/1326
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ahc:journl:y::id:1330. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.