Jim Simons represents the extreme of quant edge: hire scientists, guard secrets, and treat markets as noisy datasets—ethically and legally fraught when practices misalign with norms. FTN’s Simons profile gives context; this list pairs narrative with math and finance foundations.
Narrative Accounts
The Man Who Solved the Market
Gregory Zuckerman · Book
Journalistic reconstruction of Medallion lore—verify claims; good story, incomplete data by design.
Fortune's Formula
William Poundstone · Book
Kelly criterion and information theory history—intellectual backdrop for betting-style position sizing debates.
Quantitative Finance and Statistics
Advances in Financial Machine Learning
Marcos López de Prado · Book
Modern pipeline thinking for features, labelling, and backtest leakage—practitioner rigour post-academic papers era.
Market microstructure primers (textbooks / lecture notes)
Various · Academic Paper
Understand order books, impact, and implementation shortfall—where “alpha” meets execution reality.