Run by mathematicians (not traditional economists), it operated in near-total secrecy and was open to the public for just six years—from 1988 to 1993. It didn’t “know” anything about stocks. Instead, it scanned massive datasets for tiny discrepancies, using leverage to profit from small price movements. In essence, it was an intuitive, quant-driven fund with no fixed rules.

Its results?
+62% annually before fees. +37% after fees.
Unmatched… until now.

After a fresh review of Medallion’s performance, I can now say this with confidence:
**Stars is 4 percentage points better than Medallion—**even after accounting for their fees.

And this is just the beginning.

– Stars already delivers 41% annually over the past 5 years (best version of the model).
-It only uses half of the portfolio to generate that return—meaning there’s still 50% of unused capacity to enhance performance.
-I’m actively exploring three additional strategies to boost results.

The next major improvement?
Intra-year rebalancing.
Initial tests show it could add another 5–10 percentage points to overall performance. I expect to have this modeled in the next 2–4 weeks.

Is Stars the next Medallion?

With lower fees, better performance, and more room to grow—it just might be the greatest money-making machine ever built.