Deep dive into quantitative trading strategies specifically designed for cryptocurrency markets.
About This Book
The digital asset space offers unique opportunities for quantitative traders due to market inefficiencies, 24/7 trading, and the transparency of on-chain data. This book provides a detailed examination of proven quantitative strategies adapted for and developed specifically within crypto markets.
Chapter Overview
Part I: Market Analysis
- Chapter 1: Crypto Market Microstructure — How decentralized and centralized exchanges differ, order book dynamics, and the impact of MEV on strategy design.
- Chapter 2: On-Chain Analytics — Leveraging blockchain data for alpha generation, including wallet flow analysis, smart money tracking, and protocol-level metrics.
- Chapter 3: Cross-Market Dynamics — Understanding correlations between crypto assets, traditional markets, and macroeconomic factors.
Part II: Strategy Frameworks
- Chapter 4: Momentum Strategies — Time-series and cross-sectional momentum in crypto, regime detection, and adaptive lookback periods.
- Chapter 5: Mean Reversion — Statistical arbitrage, pairs trading, and funding rate arbitrage strategies specific to perpetual futures.
- Chapter 6: Market Making — Automated market making on DEXs and CEXs, inventory management, and adverse selection protection.
Part III: Risk and Implementation
- Chapter 7: Risk Management — VaR, CVaR, and tail risk in crypto portfolios, stress testing, and dynamic hedging approaches.
- Chapter 8: Backtesting Best Practices — Avoiding common pitfalls including survivorship bias, look-ahead bias, and overfitting in crypto strategy development.
- Chapter 9: Live Trading Operations — Infrastructure requirements, monitoring dashboards, and incident response for production trading systems.
Who This Book Is For
This book targets experienced traders and quants looking to apply systematic strategies to digital asset markets. Prior experience with quantitative finance concepts is recommended.