🪞 Philippe Laffont · Coatue
Tech + growth crossover (Tiger cub).
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🔮 Predicted next buys: quarter ending 2026-06-30
Pure model output for Philippe Laffont · Coatue’s next 13F filing, no public confirmation yet. Probabilities are the model’s raw scores.
| # | Ticker | Company | Model probability |
|---|---|---|---|
| 1 | SOLS | Solstice Adv Materials Inc | 81% |
| 2 | SNI | Scripps Networks Inter-Cl A | 79% |
| 3 | NATH | Nathan'S Famous Inc | 79% |
| 4 | HVT | Haverty Furniture | 79% |
| 5 | ABR | Arbor Realty Trust Inc | 74% |
| 6 | HRC | Hill-Rom Holdings Inc | 73% |
| 7 | DAY | Dayforce Inc | 66% |
| 8 | WEP | Magellan Midstream Partners | 65% |
| 9 | FRCB | First Republic Bank/Ca | 65% |
| 10 | SONY | Sony Group Corp - Sp Adr | 65% |
📉 Predicted exits, conviction fading
Of Philippe Laffont · Coatue’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 2026-03-31.
| Ticker | Company | Weight | Last move | Sell likelihood |
|---|---|---|---|---|
| CVNA | Carvana Co | 0.74% | trimmed last Q | ▲▲ 65 |
| SNPS | Synopsys Inc | 1.04% | trimmed last Q | ▲▲ 64 |
| RDDT | Reddit Inc | 1.29% | trimmed last Q | ▲▲ 63 |
| AMZN | Amazon Com Inc | 5.68% | trimmed last Q | ▲▲ 62 |
| DASH | Doordash Inc | 0.29% | trimmed last Q | ▲▲ 61 |
| CHRW | C H Robinson Worldwide In | 0.33% | added last Q | ▲ 59 |
| - | Spotify Technology S A | 2.20% | trimmed last Q | ▲ 59 |
| SFM | Sprouts Fmrs Mkt Inc | 0.32% | added last Q | ▲ 59 |
⚠️ This predicts the ACTION (whether Philippe Laffont · Coatue 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: Mar 2026
| Ticker | Company | Weight | Last change |
|---|---|---|---|
| TSM | Taiwan Semiconductor Manufac | 10.80% | ✊ Held |
| GEV | Ge Vernova Inc | 7.73% | ➖ Trimmed |
| LRCX | Lam Research Corp | 7.39% | ✊ Held |
| AMAT | Applied Matls Inc | 6.17% | ➖ Trimmed |
| AVGO | Broadcom Inc | 5.86% | ✊ Held |
| - | Eaton Corp Plc | 5.85% | ✊ Held |
| AMZN | Amazon Com Inc | 5.68% | ➖ Trimmed |
| META | Meta Platforms Inc | 5.54% | ➖ Trimmed |
| CEG | Constellation Energy Corp | 4.45% | ➖ Trimmed |
| GOOGL | Alphabet Inc | 4.27% | ➖ Trimmed |
| NVDA | Nvidia Corporation | 3.80% | ➖ Trimmed |
| EQIX | Equinix Inc | 3.68% | ➕ Added |
| MSFT | Microsoft Corp | 3.16% | ➖ Trimmed |
| NFLX | Netflix Inc. | 2.28% | ➖ Trimmed |
| - | Asml Hldg Nv | 2.26% | ➕ Added |
Source: SEC Form 13F (public domain), long U.S. equity positions only, disclosed up to 45 days after quarter-end. Top 15 of 62 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 |
|---|---|---|---|---|
| AMZN | $208.27 | $199–$247 | $247.23 | +18.7% |
| META | $572.13 | $525–$737 | $664.54 | +16.2% |
| TSM | $337.95 | $316–$386 | $420.39 | +24.4% |
| GEV | $872.90 | $622–$923 | $1057.84 | +21.2% |
| LRCX | $213.66 | $185–$249 | $313.30 | +46.6% |
| AVGO | $309.51 | $293–$353 | $370.83 | +19.8% |
| MSFT | $370.17 | $356–$481 | $385.10 | +4.0% |
| NVDA | $174.40 | $165–$195 | $207.40 | +18.9% |
| CEG | $279.25 | $246–$365 | $258.11 | -7.6% |
| AMAT | $341.79 | $268–$394 | $560.93 | +64.1% |
🧬 Factor fingerprint, the style behind the book
82% of Philippe Laffont · Coatue’s day-to-day swings are explained by public, buyable factors (Fama-French 5 + momentum), regressed on their current disclosed book (13 of 13 names, ~451 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 +1.8 pts/quarter net vs the S&P 500 over 47 complete quarters (2014–2026), directional, NOT statistically significant (t≈1.4; 95% CI includes zero). Past performance does not predict future results. Not investment advice.
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