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

Haris Haxhimehmeti and Adrian Besimi ()
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Haris Haxhimehmeti: South East South East European University
Adrian Besimi: South East South East European University

A chapter in Navigating Economic Uncertainty - Vol. 1, 2025, pp 291-304 from Springer

Abstract: 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.

Keywords: Artificial intelligence; Machine learning; Deep learning; Supervised learning; Unsupervised learning; Recommendation systems; Education; Research (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-73506-6_17

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DOI: 10.1007/978-3-031-73506-6_17

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