Kosta Ouzas describes the Medallion Fund (Jim Simons) as an exceptionally high-performing quantitative fund—averaging over 60% annually before fees for decades—and emphasizes that its success is rooted in a disciplined, rules-based risk management system. The speaker contrasts machine-like, unemotional algorithmic trading with human behavioural errors (greed, panic, doubling down), highlighting reserve capital, waiting for statistical extremes, and acting only according to pre-set rules.
Jim Simons is another. The medallion fund has averaged more than 60% annually before fees for decades, the best sustained performance in history. But their edge isn't a reckless sprint. It's a tightly controlled, deeply quantitative system where risk management is an integral part of its alpha generation. The engine never stalls because the rules never change. A well built algorithmic system is the purest form of the tortoise's discipline. And a machine doesn't get greedy in a bull market. It doesn't panic in a crash. It never feels the urge to double down after a loss. It keeps capital in reserve. It waits for statistical extreme conditions where the risk reward is asymmetric because the market is overreacting. And when it does act, it acts according to plan. Every entry.
