Quantitative Trading by Ernie Chan

Book Summary

Ernie Chan’s core message: Trading is a science, not an art. Success comes from building a repeatable "strategy factory" using data and math, not following hunches or complex "black box" secrets.

Key Concepts:
Logic over Intuition: If you can’t code the rules and test them, don’t trade them.
Simplicity Wins: Simple models are robust; complex models usually just "overfit" to past noise.
Agility is Your Edge: Small traders can exploit niche gaps that are too small for giant banks.
Backtesting Reality: A perfect backtest is usually a lie. Use "out-of-sample" data to prove it works.
Risk is Math: Use formulas (like the Kelly Criterion) to calculate position size and avoid ruin.

Why It’s a Must-Read
It strips away the intimidation of algorithmic trading and provides a practical, business-like roadmap for any disciplined individual to compete with Wall Street.