Adding to what you already own, valuing a derating by the multiple rather than the drawdown, and separating a policy headline from the business it is supposed to hurt.
1. When conviction rises, add to what you own before you add a name
The repeatable method
- Treat a sector-wide derating as a signal to re-check position sizes, not to widen the list. Every dollar here went into an existing holding.
- Rank the existing holdings by the gap between what has changed in the price and what has changed in the business.
- Size the add to what the conviction supports, and publish the amount, quantity and limit price before the order goes in — so the decision cannot be revised after the fill.
- Accept that this concentrates the book. Two of the three adds here are the same underlying business model (Constellation and its spin-off Topicus).
Here: $50,000 across three names already owned —
CSU.TO $15,000 at CAD 2,600 (Q 8),
V $20,000 at $325 (Q 60),
TOI.V $15,000 at CAD 105 (Q 180). Three weeks later the
22 February issue adds another $25,000 to Constellation.
Watch for
- Correlated adds dressed as diversification — Constellation and Topicus fall and rise on the same narrative, so this is one bet sized twice.
2. Measure a derating by the multiple, not by the size of the fall
The repeatable method
- Write down the multiple at the prior peak and the multiple today; the ratio between them is the derating.
- Separately check what earnings or cash flow did over the same window — a multiple halving on rising cash flow is a different fact from one on falling cash flow.
- Only then look at the drawdown. "Largest drawdown ever" is a fact about the chart; the multiple is the fact about the price you pay.
- State it in units a reader can check without a model — times cash flow, or price-per-dollar-of-cash.
Here: CSU.TO — "In 2024, investors were willing to pay 35 (!) times the cash flow… And today? Just 16.2x." TOI.V — same price as 2021, free cash flow doubled, so "the valuation halved… like buying the same house that cost $200,000 five years ago for $100,000 today."
Watch for
- A denominator that has been flattered — if the cash flow figure includes one-off working-capital swings, the "halved multiple" is arithmetic rather than value.
3. Test a "cheap to build" disruption thesis against what customers actually pay for
The repeatable method
- Write the bear case in one sentence — here: AI makes software nearly free to build, so niche software has no protection.
- List the components of the customer's switching decision: the data held, the regulations encoded, the workflow integration, the cost and risk of migration.
- Ask which of those the new technology actually removes. If it only removes development cost, and development cost was never the barrier, the thesis fails.
- Then invert: does the same technology help the incumbent? Faster development, higher margins, and cheaper acquisition targets are all upside from the same shock.
Here: Michael Gielkens (Tresor Capital), quoted in full: "It is not the development costs, but mission-critical data, complex regulations, deep integration into work processes and high switching costs that form the moat… AI therefore does not pose an existential threat, but rather a productivity lever that can increase margins and, through lower market valuations, even create new acquisition opportunities."
Watch for
- Churn and renewal rates at the subsidiary level — the only place the migration-cost argument can actually be falsified.
4. When rebutting a consensus fear, cite named others who have done the work
The repeatable method
- State your own position in one line so the reader knows where you stand.
- Then hand the argument to identifiable third parties with different vantage points — an operator, a practitioner, a fellow investor — rather than restating your own view at length.
- Keep their reasoning verbatim, so the reader can weigh the argument rather than your confidence in it.
- Use disagreement between the sources as a feature: if independent people reach the same conclusion by different routes, that is evidence.
Here: on CSU.TO Slegers writes only "I don't believe this," then quotes Kosta Ristovski (reliability and data-format arguments), Arne Ulland, and Michael Gielkens (moat-economics argument) at length.
Watch for
- A quoted chorus drawn from your own community — people who already own the stock are not an independent sample.
5. Separate a policy headline from the business it is supposed to hurt
The repeatable method
- Identify precisely which line of the income statement the proposed rule touches, and for whom.
- Ask whether the company in question sits on that line at all — a network that takes a fee per transaction is not the lender earning the interest being capped.
- Assess the probability the rule survives, and say on what grounds (legislative, legal, constitutional) — not just "it won't happen."
- If both answers point the same way, treat the fall as a discount rather than an impairment.
Here: V and MA fell on a proposed 10% cap on credit-card interest rates. Slegers' answer is legal, not economic: "I think Trump will never be able to push this through in court."
Watch for
- Second-order effects — a cap that shrinks card issuance would eventually shrink transaction volume even if the network never earns the capped interest.
6. Build the expected return out of disclosed parts, not a target price
The repeatable method
- Start with what the company already hands you: the dividend yield plus the percentage of shares retired each year — the shareholder yield.
- Add the earnings growth you are willing to underwrite.
- Do not add a multiple assumption. If the sum already clears your hurdle, re-rating is optional upside rather than the thesis.
- Sanity-check with a doubling time so the number is intuitive.
Here: V — 0.8% dividend + 2.3% buyback = 3.1% shareholder yield, plus 12% expected earnings growth: "you could expect the stock to double every 5 years." The model's expected return is 15.9% a year.
Watch for
- Buybacks funded by debt or offset by stock-based compensation — the retirement rate has to be net of issuance to count.
Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.