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Volume XII · № 4
Wednesday, April 22, 2026
Independent Since 2024 · Source-Cited
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Hedge fund Quantitative Trading

Jim Simons

"The Quant King"

66% annual returns (before fees) at Renaissance Medallion Fund

Past performance is no guarantee of future results.

Country USA, Long Island, New York Experience 42 yrs Annual return 66%

Bio & context

Mathematician and hedge fund manager who built the most successful quantitative trading operation in history using algorithms and data science. Passed away in May 2024 at age 86.

Jim Simons (1938-2024) was a mathematician who made groundbreaking contributions to geometry before founding Renaissance Technologies in 1982. After earning a PhD from Berkeley at age 23 and serving as NSA codebreaker, he became a math professor and department chair at Stony Brook University. His Medallion Fund, launched in 1988, became the most successful hedge fund ever, returning 66% annually (before fees) from 1988-2018. Unlike traditional investors, Simons relied entirely on quantitative models, pattern recognition, and statistical analysis across thousands of trades daily. He hired mathematicians, physicists, and computer scientists—not MBAs. The fund's algorithms exploited tiny market inefficiencies through high-frequency trading. Simons retired in 2010 but Medallion continues to dominate. He donated billions to science and education through the Simons Foundation before passing away in May 2024 at age 86, leaving behind a legacy as one of the greatest quantitative investors in history.

Philosophy in their own words

Rely on mathematics and data, not human intuition. The market has patterns that can be discovered through rigorous analysis.

Approach & method

Purely quantitative, algorithm-driven approach analyzing terabytes of historical market data to identify statistical patterns. High-frequency trading executing thousands of small, quick trades daily. No fundamental analysis or human discretion in trade execution. Constant model refinement and adaptation to changing markets.

Key strategies

  1. 1. Pattern Recognition: Algorithms identify repeating patterns in price data invisible to humans
  2. 2. Statistical Arbitrage: Exploit tiny pricing inefficiencies thousands of times
  3. 3. Machine Learning: Continuously adapt models based on new data
  4. 4. Diversification: Thousands of uncorrelated small bets reduce risk
✓ Careerhighlights
  • Medallion Fund: 66% annual returns (1988-2018) before fees
  • Founded Renaissance Technologies (1982)
  • Chern-Simons theory in mathematics and physics
  • IDA Veblen Prize in Geometry (1976)
Notableachievements
  • Outperformed Buffett, Soros, Dalio combined over 30 years
  • $100B+ generated for investors and employees
  • Medallion never had a losing year from 1988-2018
  • Donated $4B+ to science through Simons Foundation

Key metrics

  • 66% annual returns before fees (1988-2018)
  • 39.1% annual returns AFTER fees
  • $10,000 in 1988 became $42 million by 2018
  • Zero losing years over 30+ year period

Recommended reading

  • The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution (by Gregory Zuckerman)

External resources