Table of Contents

Chapter 1: Introduction to Quantitative Trading.- Chapter 2: Understanding the Electronic Market.- Chapter 3: Understanding Risk and Return.- Chapter 4: Forward and Futures Contracts.- Chapter 5: Trend Following Strategy.- Chapter 6: Momentum Trading Strategy.- Chapter 7: Backtesting A Trading Strategy.- Chapter 8: Statistical Arbitrage with Hypothesis Testing.- Chapter 9: Optimizing Trading Strategies with Bayesian Optimization.- Chapter 10: Optimizing Trading Strategies with Machine Learning.

About the Author

Peng Liu is an assistant professor of quantitative finance (practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries. Peng is the author of Bayesian Optimization (Apress, 2023).