Algorithmic Trading: Winning Strategies and Their Rationale by Ernest P. Chan

Algorithmic Trading: Winning Strategies and Their Rationale by Ernest P. Chan is a practical guide to quantitative trading and the development of systematic trading strategies. Published by Wiley, the book explores how mathematical models, historical market data, and computer-based techniques can be used to identify, test, and implement trading strategies.

The book covers key approaches such as mean reversion and momentum trading across stocks, exchange-traded funds (ETFs), currencies, and futures. Chan explains how traders can develop trading models, evaluate their performance through backtesting, and consider the practical challenges of automated execution.

Readers are introduced to important concepts in quantitative strategy development, including statistical analysis, testing assumptions, adapting strategies to changing market conditions, and managing risk. The book emphasizes the importance of evaluating trading ideas systematically rather than relying solely on intuition or market predictions.

Written for traders, quantitative analysts, finance professionals, and technically minded investors, Algorithmic Trading offers real-world examples and practical insights into the process of building and evaluating systematic trading strategies.

Key Features

• Quantitative Trading Strategies: Explores systematic approaches to trading financial markets using data and mathematical models.

• Mean Reversion Techniques: Examines strategies based on the tendency of prices or spreads to return toward typical levels.

• Momentum Trading: Covers interday and intraday momentum strategies.

• Backtesting and Automated Execution: Introduces methods for testing trading strategies and implementing them in live markets.

• Risk Management: Discusses important considerations for evaluating and managing trading risk.

• Practical Examples: Connects quantitative trading concepts with real-world strategy development and implementation.

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