🪞 Mohnish Pabrai · Dalal Street

🔮 Predicted next buys: quarter ending 2026-06-30

Pure model output for Mohnish Pabrai · Dalal Street’s next 13F filing, no public confirmation yet. Probabilities are the model’s raw scores.

📉 Predicted exits, conviction fading

Of Mohnish Pabrai · Dalal Street’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.

⚠️ This predicts the ACTION (whether Mohnish Pabrai · Dalal Street 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

Source: SEC Form 13F (public domain), long U.S. equity positions only, disclosed up to 45 days after quarter-end. Top 15 of 3 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.

🧬 Factor fingerprint, the style behind the book

14% of Mohnish Pabrai · Dalal Street’s day-to-day swings are explained by public, buyable factors (Fama-French 5 + momentum), regressed on their current disclosed book (2 of 2 names, ~451 trading days). Market beta 0.78.

⚠️ 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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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.