🧭Twelve Billionaire Strategies on Autopilot — Meet QMA Compass
Twelve Legendary-Investor Strategies in One Place — Meet QMA Compass
Around the turn of the millennium, Mohnish Pabrai turned one million dollars into many times that. Nick Sleep beat the market over the long run. Joel Greenblatt posted high returns for two decades. These people are not geniuses with a secret algorithm — they have rules: specific criteria by which they evaluate companies.
QMA Compass does one thing: it rewrites those frameworks into measurable criteria and evaluates them regularly across thousands of stocks. This article explains what it's for — as a description of an analytical tool, not a current recommendation.
Why twelve approaches, not one
No single approach is best for every market regime. A rising market rewards momentum, a falling market deep value, a sideways market quality compounders. A large fund has dozens of strategists; a retail investor has only themselves. Compass shows all 12 approaches side by side and how many names each currently identifies — which itself says something about market mood.
The twelve approaches — who and what
| Approach | Methodology (after whom) | Horizon |
|---|---|---|
| Multibagger Main | Pabrai-style concentrated value-growth | years |
| Insider Conviction | insider buying + growth | months |
| Turnarounds | crisis firms with a reversal catalyst | months–years |
| Focused Mousetraps | strong moat, weak competition | years |
| Uber Cannibals | aggressive buybacks | years |
| Hidden Value | Greenblatt-style high ROIC + low price | years |
| Mayer 100 Baggers | smallcap quality with long-run potential | years |
| Flywheel Compounders | Sleep-style "scale economics shared" | years |
| Activist Targets | undervalued with an activist catalyst | months |
| Fear-Buy | Marks-style quality in a panic | months |
| Quality Compounders | Smith-style "buy great companies and hold" | years |
| Forecast Stars | Rochon-style earnings forecasting | years |
How this differs from an investing course
A course gives you knowledge, but you still have to do the routine work — screening hundreds of stocks and applying criteria — by hand. QMA automates that second step (screening, scoring, backtesting). You still need to acquire the knowledge (that's what the Academy is for).
Proof, not promises — ongoing tracking
Backtests can be cherry-picked. So alongside a backtest, QMA keeps ongoing (live) tracking: it regularly records selected names for each approach and follows their path versus the index. Over time this builds a transparent record — what the approach actually produced, not what we claimed. We always describe statistical reliability honestly (t-statistic, sample size); not every approach is statistically significant, and where samples are small we label results explicitly as exploratory.
Who it's for
For a beginner it's a way to see how legendary frameworks look in data without reading dozens of books. For an advanced user it saves routine work — they can filter, sort, and inspect per-factor scores themselves. QMA Compass is an analytical helper, not a source of trade instructions.
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⚖️ Important disclosure. QMA is an analytical and educational tool, not investment advice. This article describes a methodology and historical observations — it is not a current signal, instruction, or a solicitation to buy or sell. Any numbers shown (entries, stop-loss, targets, success rate, holding period) are illustrative and refer to a past backtest window; backtests contain survivorship bias. Past results do not guarantee future ones. Consult a licensed financial advisor before acting.>
QMA has no commercial relationship with the named investors — names are used solely to label the replicated methodology.
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