🪞 Chase Coleman · Tiger Global
Concentrated tech/growth (Tiger cub).
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.
Measured above chance. Across 11 quarters of walk-forward holdout this ranking scored 0.634 where a coin flip scores 0.500, two-sided p = 0.0027. Pooling every scored row instead of averaging the quarters, which uses the big quarters and the thin ones at their real weight, the same board reads 0.617 over 7,555 rows (two-sided p = 0.006).
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🔮 Predicted next buys: quarter ending 2026-09-30
The model orders Chase Coleman · Tiger Global’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%.
| # | Ticker | Company | Measured hit rate | vs base |
|---|---|---|---|---|
| 1 | PAYP | Paypay Corp | 1.8% | 2.8x |
| 2 | APLD | Applied Digital Corp | 1.7% | 2.7x |
| 3 | RRC | Range Resources Corp | 1.7% | 2.7x |
📉 Predicted exits, conviction fading
Of Chase Coleman · Tiger Global’s current disclosed holdings, the names a model flags as most likely to be EXITED or TRIMMED next quarter, before the 13F shows it. Model score (not a calibrated probability), ranked. Holdings as of 2026-06-30.
| Ticker | Company | Weight | Last move | Sell likelihood |
|---|---|---|---|---|
| LRCX | Lam Research Corp | 5.72% | trimmed last Q | ▲▲ 68 |
| CHYM | Chime Finl Inc | 0.45% | trimmed last Q | ▲▲ 64 |
| GEV | Ge Vernova Inc | 3.91% | trimmed last Q | ▲▲ 63 |
⚠️ This predicts the ACTION (whether Chase Coleman · Tiger Global reduces the position), not a return and not a short. A 13F shows long positions only, so a “sell” here means exiting or cutting a long, never shorting the stock. Walk-forward validated on the decision (AUC ≈ 0.66), but acting on it is not shown to make money. Research, not advice.
📜 Top disclosed holdings: Jun 2026
| Ticker | Company | Weight | Last change |
|---|---|---|---|
| TSM | Taiwan Semiconductor Manufac | 9.72% | ➖ Trimmed |
| AMZN | Amazon Com Inc | 9.62% | ✊ Held |
| NVDA | Nvidia Corporation | 9.34% | ✊ Held |
| GOOGL | Alphabet Inc | 8.65% | ➖ Trimmed |
| META | Meta Platforms Inc | 6.63% | ✊ Held |
Source: SEC Form 13F (public domain), long U.S. equity positions only, disclosed up to 45 days after quarter-end. Top 15 of 46 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.
| Ticker | Avg cost | Accumulation zone | Today | vs cost |
|---|---|---|---|---|
| TSM | $477.57 | $336 to $476 | $434.67 | -9.0% |
| AMZN | $238.34 | $208 to $275 | $258.45 | +8.4% |
| NVDA | $200.09 | $174 to $235 | $227.38 | +13.6% |
🧬 Factor fingerprint, the style behind the book
86% of Chase Coleman · Tiger Global’s day-to-day swings are explained by public, buyable factors (Fama-French 5 + momentum), regressed on their current disclosed book (14 of 14 names, ~406 trading days). Market beta 1.37.
⚠️ 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
⚠️ 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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Prior Moves is a research publication: one impersonal model portfolio per investor, identical for every reader. You place any trades yourself at your own broker. No execution, no custody, no individualised advice.