Cryptocurrencies trading algorithms: A review

Abstract

This study conducts a bibliometric analysis and systematic review of cryptocurrency trading algorithms to identify existing gaps in the area. From our standpoint, this is the first study to carry out a deep analysis of price forecasts and portfolio management in cryptocurrencies in addition to analyzing the most relevant studies and authors, trend topics of the area, and identifying countries with the most published studies. During our research, we identified some gaps that can be used for further research. Currently, there are approximately 16,000 cryptocurrencies; however, in majority of the papers, the authors have only used the top 10 ranking market capitalization cryptocurrencies, leaving aside potential minor cryptocurrencies. Thus, trading strategies using Big Data can be a potential research topic, considering the greater number of emerging cryptocurrencies.

Analyzing Portfolio Optimization in Cryptocurrency Markets: A Comparative Study of Short-Term Investment Strategies Using Hourly Data Approach

“…Gupta et al (2022) explored reducing portfolio risk using cryptocurrencies, highlighting the associated challenges. Silva et al (2022) critically evaluated cryptocurrency trading algorithms, identifying areas for further exploration. Lorenzo and Arroyo (2023) compared risk-based portfolio allocation on crypto asset subsets, enriching the portfolio management literature.…”