Abstract

Cryptocurrency trading has emerged as a transformative force in the global financial landscape, attracting investors, technologists, and policymakers alike. This comprehensive survey explores the evolution, mechanisms, strategies, and challenges associated with cryptocurrency trading. Beginning with an overview of major cryptocurrencies and exchanges, the paper examines various trading strategies including spot trading, futures, arbitrage, and algorithmic trading. It highlights the role of blockchain technology, market volatility, and decentralized finance (DeFi) in shaping trading dynamics. Technical indicators, machine learning models, and sentiment analysis are reviewed as modern tools enhancing predictive accuracy and decision-making in crypto markets. The survey also delves into the risks and regulatory concerns posed by high volatility, security breaches, market manipulation, and lack of standardization. Furthermore, it discusses the rise of automated trading bots, decentralized exchanges (DEXs), and non-fungible tokens (NFTs) as new trends influencing market behavior. By consolidating existing research, this article aims to provide a holistic understanding of the cryptocurrency trading ecosystem, identify current gaps in literature, and suggest potential directions for future work. This survey serves as a valuable resource for researchers, traders, and stakeholders seeking to comprehend the complexities and opportunities within the rapidly evolving domain of cryptocurrency trading.