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🪞 David Abrams · Abrams Capital

Concentrated value, low turnover.

Style
Value & quality
Disclosed holdings
11
Top pick hit rate
1.7%
Backtest edge
-2.5 pts/q

Hit rate is measured, not predicted: across 2,030 investor-quarters of walk-forward holdout, the name this model ranked first was the investor’s actual next new buy 1.7% of the time, against 0.62% for a name drawn at random from the same board. That is 2.77x chance. The model ranks the whole board; AUC and the rest of the scoring detail are on the how it works page.

Not scored. This board has 0 walk-forward quarters carrying enough new positions to grade, fewer than the 6 this test needs. It is published unscored. Nothing here is a verdict on the investor.

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🔮 Predicted next buys: quarter ending 2026-09-30

The model orders David Abrams · Abrams Capital’s candidates for the next 13F filing. No public confirmation yet. The rate beside each name is the model’s own score rewritten as a measured quantity: how often a name in that position turned out to be the next buy across 2,030 investor-quarters of holdout. Picking at random from this board lands 0.62%.

#TickerCompanyMeasured hit ratevs base
1RRCRange Resources Corp1.7%2.8x
2DTDynatrace Inc1.7%2.7x
3UPSUnited Parcel Service-Cl B1.7%2.7x

📜 Top disclosed holdings: Jun 2026

TickerCompanyWeightLast change
LOARLoar Holdings Inc47.15%✊ Held
LADLithia Mtrs Inc13.20%✊ Held
GOOGLAlphabet Inc8.94%➖ Trimmed
TPDSomnigroup International Inc8.30%✊ Held
AWGAsbury Automotive Group Inc7.91%✊ Held

Source: SEC Form 13F (public domain), long U.S. equity positions only, disclosed up to 45 days after quarter-end. Top 15 of 11 shown.

💲 Where they bought: accumulation cost

13F shows holdings, not trade prices. Implied average cost is total value ÷ shares; the zone is the price range that quarter, where they accumulated. “vs cost” is today versus that average. This is where they bought, not a future price.

TickerAvg costAccumulation zoneTodayvs costDip target
LOAR$80.61$54 to $81$64.43-20.1%$49.87
LAD$290.49$249 to $313$316.27+8.9%$193.53
GOOGL$357.37$287 to $402$354.97-0.7%$248.80

Dip target = the recent high discounted by this investor’s historical tendency to add on weakness. Behavioral, not a guarantee.

🧬 Factor fingerprint, the style behind the book

46% of David Abrams · Abrams Capital’s day-to-day swings are explained by public, buyable factors (Fama-French 5 + momentum), regressed on their current disclosed book (8 of 9 names, ~406 trading days). Market beta 0.95.

growth
value
large-cap
small-cap
low-quality
quality
contrarian
momentum
aggressive
conservative

⚠️ This is the part the great investors can’t hide: their style is a tilt toward known factors, and every one of these is sold as a cheap index ETF. Buying the factors gets you most of the book for a few basis points. What’s left after the factors (the residual) is noisy on a single concentrated book and is not a reliable edge, read this as transparency about the style you’re copying, not a secret signal. Loadings are in-sample on current static weights, U.S. long positions only. Research, not advice.

📈 This mirror’s track: backtest vs S&P 500

Avg edge / quarter
-2.5 pts
Quarters beating S&P
9/34
Avg quarterly return
+0.9%
-15%97%208%2017-092021-122025-12This mirror (backtest)S&P 500

⚠️ Read this honestly. Leak-free walk-forward backtest: top-10 predicted new buys ranked from a broad ~2,000-name universe known at the rebalance date, equal-weight, 1-quarter holds, complete quarters only, gross (before costs). Small samples, per-investor edges are noisy and not statistically significant. The consensus mirror's backtest shows +2.2 pts/quarter net vs the S&P 500 over 35 complete quarters (2017Q3 to 2026Q1), directional, NOT statistically significant (t≈1.3; 95% CI includes zero). Most of that average is one quarter: 2026Q1 posted a +47.5 pt edge, roughly half of it two AI-hardware names (SNDK +258%, AMD +186%) marked at what proved to be a local peak; excluding it the edge is +0.9 pts/quarter. Past performance does not predict future results. Not investment advice.

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