We spent months backtesting every "smart" exit strategy you can imagine — trailing stops, profit targets, time-based exits, regime-based exits, Sharpe-optimized exits, combinations of all of them. The data was unambiguous. Buy & hold beat every one of them. Not by a tiny margin. By a wide one. This article documents what we found, what we changed, and what the implication is for how a signal-based newsletter should actually be used.
The conventional wisdom — "let your winners run but cut your losers fast" — is one of those things that sounds like sophisticated risk management and turns out, on data, to be wealth-destroying for the typical case. The intuition is wrong because it ignores how much of a portfolio's return comes from a tiny minority of multi-baggers, and how often the smart-exit rules clip those exact positions out.
We publish two exit rules that look contradictory, so here is the line between them, stated once and used on every page.
Income holdings — the thesis is the payout. You own it to be paid. A collapsing price is direct market evidence that the payout is at risk, because the only thing you are owed is cash the company chooses to send. So a trend gate is legitimate here: it is not timing the market, it is noticing that the market disagrees with the one thing your thesis depends on.
Conviction holdings — the thesis is a multi-year build. You own it because something physical is being constructed over years. Price tells you very little about whether that construction is happening, and our own 87-thesis record says price-based exits gave up most of the outperformance. So you hold to thesis invalidation, not to price.
The honest caveat: we have backtested the second rule and not the first. The trend gate is a heuristic drawn from how dividend traps actually fail, not a result we have measured. We are telling you which is which.
We ran every published signal in our 87-thesis history through five different exit-management strategies, plus a custom "combined" row. The same entries, the same prices, the same data. Only the exit logic varied:
Across our 87-thesis backtest, ranked by entry conviction, and recomputed from the live ledger on 11 September 2026: HIGH-conviction signals returned +504.7% cumulative on buy & hold — +32.1% a year over an average 5.02-year holding window. Medium-conviction signals returned +154.1% cumulative, +14.0% a year, over 5.27 years. The same signals run through any of the smart-exit rules above returned dramatically less — and the trailing-stop strategy, in particular, gave up the majority of the conviction-driven outperformance.
Read the annualised figure, not the cumulative one. A cumulative return with no time attached is a distance, not a speed — which is the error that produced our largest published correction. These positions are unrealised and none has been closed, so treat them as a study of what holding did, not as a realised record.
The buy-and-hold conviction edge survives every robustness check we ran. Smart exits don't.
Portfolio returns are convex: dominated by the right tail. Across any large basket of stock picks, the median outcome is roughly flat-to-slightly-positive, but a handful of multi-baggers (5×, 10×, 30×) drag the average up massively. Any exit rule that truncates the right tail — and almost all "smart exits" do — hurts portfolio CAGR disproportionately.
Consider: in a basket of 87 names, if 5 of them go up 10× and the rest are flat, your average return is roughly (5 × 900% + 82 × 0%) / 87 ≈ +52% per name. Cap each winner at +200% (a "respectable" profit target) and your 5 winners now contribute 5 × 200% / 87 ≈ +11% — you've cut the basket's return by 80%. That's the cost of a profit target on a convex distribution.
Trailing stops are even more insidious. Most great theses involve mid-trade drawdowns of 30%, 40%, sometimes 50%. NVDA had a ~70% drawdown in 2022 inside a multi-year megathesis. A 25% trailing stop would have exited NVDA at the 2022 bottom — and almost no one buys back into a name they just stopped out of, especially after a painful loss. So the trailing stop doesn't just give up the recovery; it psychologically prevents re-entry.
Several implications fall out of this finding:
Some serious investors disagree with everything above. The most common counter:
"Buy & hold is fine for institutional money with a 10-year horizon. Retail investors need to manage drawdown risk because they don't have the emotional capacity to sit through a -50% paper loss without panic-selling at the worst moment."
This is a real point. The data says buy & hold is superior if you can actually hold. The historical record of retail behavior is that most people can't — they sell at the bottom of every drawdown and buy back near the top. If that's the realistic behavior, then a mechanical trailing stop might genuinely save them from worse outcomes than buy & hold would.
Our view: the answer isn't a worse-but-survivable exit rule. The answer is position sizing that lets you sit through drawdowns without panic. If you're sized correctly — meaning no single position can blow up your portfolio — a 50% drawdown on one name is uncomfortable but not catastrophic, and you can wait it out. If you're sized aggressively, the drawdowns force you out at exactly the wrong time, regardless of what the data says.
Bottom line: the cleverness budget in investing is finite. We've concluded ours is best spent on the entry side — convergent-catalyst selection, conviction scoring, watching for thesis invalidation. Exits we keep simple: buy, hold, sell only when the thesis breaks or the catastrophic stop trips.
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