Cryptocurrency trading: A systematic mapping study

Abstract

• This systematic mapping examines the current state of cryptocurrency trading research. • This study observes a recent increase in high-quality research and international collaboration in cryptocurrency trading. • This study notes a shift towards practical applications in cryptocurrency trading research, particularly in AI-driven prediction and automated trading. • This study highlights the diverse data types and inputs employed in cryptocurrency trading systems, with emphasis on the prevalent use of neural networks and deep learning algorithms. Cryptocurrency's unique features – decentralisation, anonymity, and diversification – have propelled it into the spotlight, attracting both investors and researchers despite its relative youth compared to traditional markets. This study utilizes a systematic mapping approach to examine the current state of cryptocurrency trading research. We are particularly interested in influential variables and technologies involved in cryptocurrency trading systems. By summarizing key findings on data, technology compatibility, and future research directions, this study serves as a starting point for new research activities in the field of cryptocurrency trading.