Cryptocurrency Trading: A Comprehensive Survey

Fan Fang (), Carmine Ventre, Michail Basios, Leslie Kanthan, David Martinez-Rego, Fan Wu and Lingbo Li ()
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Fan Fang: Tensor Systems Limited
Carmine Ventre: King’s College London
Michail Basios: Turing Intelligence Technology Limited
Leslie Kanthan: Turing Intelligence Technology Limited
David Martinez-Rego: Turing Intelligence Technology Limited
Fan Wu: Turing Intelligence Technology Limited
Lingbo Li: Turing Intelligence Technology Limited

A chapter in Blockchain, Crypto Assets, and Financial Innovation, 2025, pp 55-127 from Springer

Abstract: Abstract In recent years, the tendency of the number ofinancial institutions to include cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. Although they have some commonalities with more traditional assets, they have their own separate nature and their behaviour as an asset is still in the process of being understood. It is therefore important to summarise existing research papers and results on cryptocurrency trading, including available trading platforms, trading signals, trading strategy research and risk management. This paper provides a comprehensive survey of cryptocurrency trading research, by covering 146 research papers on various aspects of cryptocurrency trading (e.g., cryptocurrency trading systems, bubble and extreme condition, prediction of volatility and return, crypto-assets portfolio construction and crypto-assets, technical trading and others). This paper also analyses datasets, research trends and distribution among research objects (contents/properties) and technologies, concluding with some promising opportunities that remain open in cryptocurrency trading.

Keywords: Trading; Cryptocurrency; Machine learning; Econometrics (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-981-96-6839-7_4

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