IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-73506-6_17.html
   My bibliography  Save this book chapter

Recent Techniques and Algorithms for Cryptocurrencies’ Price Prediction: A Literature Review

In: Navigating Economic Uncertainty - Vol. 1

Author

Listed:
  • Haris Haxhimehmeti

    (South East South East European University)

  • Adrian Besimi

    (South East South East European University)

Abstract

The digitization of our society is bringing about a variety of social and economic changes, such as the emergence of novel financial channels and cutting-edge technologies like cryptocurrencies and uses of blockchain technology. Nevertheless, one of the most significant limitations of this technology is the volatility of the price of cryptocurrencies. AI is used in many forms, but in this paper, a look at the literature is used as a means of investigating trends on AI, ML, and DL techniques and algorithms and other findings relevant to the topic of cryptocurrency prediction using AI. This paper includes a state-of-the-art study on the literature and the most important research articles and technical articles that have been conducted in this area of interest. A total of 96 papers are analyzed based on the keyword and further research on the findings is conducted. The most relevant articles are reviewed and summarized in this paper.

Suggested Citation

  • Haris Haxhimehmeti & Adrian Besimi, 2025. "Recent Techniques and Algorithms for Cryptocurrencies’ Price Prediction: A Literature Review," Springer Proceedings in Business and Economics, in: Veland Ramadani & Abdylmenaf Bexheti & Hyrije Abazi-Alili & Carmem Leal & Carlos Peixeira Marques (ed.), Navigating Economic Uncertainty - Vol. 1, pages 291-304, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-73506-6_17
    DOI: 10.1007/978-3-031-73506-6_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-031-73506-6_17. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.