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Actionable insights — 5 Stocks Superinvestors Are Buying

How to read other managers' filings without outsourcing your judgement to them: gradations of selling, opposite trades on the same fact, and the moment an index stops being diversification.
2026-JUN-14 · Compounding Quality (Substack) · Pieter Slegers / Team Compounding Quality · read ↗ · full analysis · transcript
How to read this page: a filings-reading issue, so the methods are about turning someone else's disclosed trade into information rather than into a tip. The last insight is a criticism of the article's own structure — it attributes every sell and names nobody for any of the five buys — and noticing that asymmetry is the transferable skill. Written post, so no timestamps.

1. Clone deliberately: take the idea, re-derive the reason

The repeatable method
  1. Treat a superinvestor's disclosed position as a source of candidates, never as a conclusion. The filing tells you what was bought, not why, at what price, at what weight, or against what alternative.
  2. Before acting, re-derive the case in your own terms: how does the business make money, and what specifically would have to be true for the price to be wrong?
  3. Check the lag. Filings are backward-looking by a quarter; verify the price today is still near the price then.
  4. Only copy where you can carry the position through a drawdown on your own reasoning — you will not receive the manager's next update.
Here: the article's own framing — "as an investor, you can be a shameless copycat" — and then, for CSU.TO, it does the work anyway: replacement cost, cost-as-share-of-customer-budget, largest drawdown ever. Pabrai's holding is the prompt; the three-line case is what you would still hold if he sold.
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2. Read the gradation of a sale, not just the direction

The repeatable method
  1. For any name being sold, record how much each holder sold: complete exit, partial trim, or a reduction that keeps the position meaningful.
  2. Full exits by more than one independent manager in the same quarter suggest a thesis break; partial trims usually mean a valuation adjustment with the thesis intact.
  3. Ask which of the two the price already reflects.
  4. Look for the same split among buyers — a new core position is a stronger signal than an addition to an existing one.
Here: INTU is not simply "sold." Fundsmith and AKO Capital exited entirely; Dev Kantesaria's Valley Forge sold about 15%. Two thesis breaks and one trim — which reads as a genuine disagreement about whether AI ends the pricing power or merely caps it.
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3. When two good investors take opposite sides, find the single fact they price differently

The repeatable method
  1. Identify the pair of opposite trades and write down the one variable both are forecasting.
  2. State each side's implied answer in a sentence you could check in two years.
  3. Decide whether you have any edge on that variable. If not, the honest position is neither name, or both at half size.
  4. Record the disagreement with dates, so the outcome can be scored later against the reasoning rather than the noise.
Here: Ackman makes MSFT a core holding at 21x forward earnings, "really cheap," and sells GOOGL; Hohn cuts Microsoft >80% and buys Alphabet to 3x his Microsoft weight, on the view that the market underrates Google's data and search position. The disputed variable is which incumbent captures the profit from AI, not whether AI matters. Four days later, the archive's own 18 June list upgrades Microsoft and downgrades Alphabet — a decision it does not flag as taking a side.
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4. Test whether your index is still diversification

The repeatable method
  1. Look through the index to the underlying economic exposure: what share of value sits in companies whose fortunes depend on the same thing?
  2. Ask whether the top holdings are spending on the same project — shared capital expenditure is shared risk regardless of different sector labels.
  3. Apply a market-level valuation gauge (total market capitalisation to GDP) so the concentration question and the price question are answered separately.
  4. If the answer is "this is one bet," either accept it deliberately or replace it with exposure you chose.
  5. Exit in stages if you act — you are correcting a composition drift, not calling a top.
Here: Watsa's staged exit — began Q3 2025, completed Q1 2026 — from SPY, on the argument that the index "used to be a wide investment in the whole American economy… today it's more of a narrow bet on AI," with the Buffett Indicator at 219% as the price check. Compare the archive's 10 May ETF issue, which reached the same conclusion and proposed Berkshire as the substitute.
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5. Check whether the attribution survives to the recommendation

The repeatable method
  1. In any "what the pros are buying" piece, mark each name with the investor cited for it.
  2. Where the attribution disappears — a name presented with a business explainer and no filing behind it — reclassify it as the author's own idea.
  3. That is not a reason to reject it; it is a reason to apply the author's own valuation standard to it rather than the borrowed authority of the headline.
  4. Cross-check the unattributed names against the author's published list: overlap tells you which shortlist you are really reading.
Here: every sell is attributed (Fundsmith, AKO, Valley Forge, Watsa), both sides of the Microsoft/Alphabet trade are attributed (Ackman, Hohn, the Gates trust), and none of the five ranked buys is attributed to anyone. Four of the five — MELI, ASML, V, TDG — are already on the firm's own Buy-Hold-Sell list, and TDG is upgraded to Buy on 18 June. AON is the only genuinely new name.
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Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.