
Business History How Jim Simons Built a Machine That Beat the Market
Jan 7, 2026
Dive into the fascinating world of Jim Simons, a former mathematician turned financial wizard. Discover how he transformed raw data into profit by developing machine learning algorithms. Explore the shift from traditional trading to a method resembling casino bets, maximizing tiny market discrepancies. Learn about the unique talent he recruited and the relentless data obsession that propelled his success. The journey highlights the intersection of mathematics, technology, and finance, questioning the future of human intuition in trading.
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Signal In The Noise
- Jim Simons applied Cold War code-breaking math to find patterns in noisy market data.
- He believed market prices hide signals that algorithms can detect and exploit consistently.
The Potato Trade Fiasco
- Their early system developed a taste for Maine potato futures and concentrated risk in potatoes.
- Regulators intervened and the trade ultimately lost money for the firm.
Collect And Clean Data First
- Hoover up and clean as much relevant data as you can before modeling.
- Investing effort in data acquisition and cleaning creates durable advantages.





