Count the trading education you have consumed. Order flow, market structure, candlestick confirmation, indicator confluence, the setup, the trigger, the entry.
Now count the hours spent on what you do after the fill.
The ratio is somewhere near ten to one, and it is exactly inverted.
Hold the entry constant. Swap the exits.
Define entry accuracy as the fraction of your signals that land in a genuinely trending market rather than a drifting one. A trader with 40% accuracy is ordinary. A trader with 70% accuracy is exceptional, and there are not many of him.
Now run every combination.
| Entry accuracy | Fixed 1R target | Fixed 2R target | Wide trail |
|---|---|---|---|
| 40% (ordinary) | +0.049R | +0.180R | +0.623R |
| 50% | +0.068R | +0.219R | +0.714R |
| 60% | +0.083R | +0.250R | +0.809R |
| 70% (exceptional) | +0.101R | +0.281R | +0.911R |
Read across the top row, then down the first column.
The ordinary trader who learns to trail beats the exceptional trader who does not. He beats him by a factor of six, using the same signals he already has.
The two paths, priced
Raise entry accuracy from 40% to 70%, a 75% improvement: +0.052R
Keep the 40% entry. Change the exit rule: +0.574R
The exit is worth 11.1 times the entry improvement. And one of them is achievable.
That last clause deserves its own paragraph. Raising your entry accuracy from forty to seventy percent is a career’s work, and most traders never do it. Changing your exit rule is a decision you can make before the market opens tomorrow.
An honest boundary
You will find this article quoted, somewhere, as proof that you should always trail. It does not say that.
The model above has a fat right tail: a drifting market where large moves exist. In a mean-reverting market the wide trail is the worst rule on the board at −0.365R, and the fixed target is the only one that survives.
What survives both markets is the sensitivity, not the direction. Across exit rules, expectancy moves by roughly 0.57R in the trending model and 0.53R in the mean-reverting one. Across entry accuracy, it moves by 0.05R.
The correct claim is narrower and more useful: whatever market you are in, your exit rule swings your expectancy by roughly ten times more than your entry does. Which exit is right depends on the market. That the exit matters more does not.
Why the profession has it backwards
The entry is where the fear lives. The moment of commitment carries all the anticipation and all the doubt, so it feels causally important. It is not. It is simply where the emotion is.
The entry is teachable in an afternoon. It is a pattern. It can be screenshotted, annotated, sold, and understood before lunch. An exit rule cannot be screenshotted, because its consequences unfold over hundreds of trades and only appear in a distribution.
The entry is what a chart looks like. Every published example of a good trade shows the entry with an arrow and the outcome as a straight line to the target. Nobody publishes the exit rule that would have been applied to the forty other trades that month.
And the exit is where you must be disciplined while the position is open, which is precisely when you are least able. The entry is chosen by a calm person. The exit is executed by a frightened one, unless you have removed the choice.
The structural argument
There is a version of this claim that has nothing to do with simulation, and it is the one that convinced me.
Map the dependencies of a trading education. Ask what each concept requires and what it unlocks.
Entry logic is a cul-de-sac. Price action leads to entry triggers, which lead to buying strength, which leads to second-level thinking, and there it stops. It connects to nothing outside itself. No entry concept is a prerequisite for anything in position sizing, drawdown management, or portfolio construction.
Exit logic is a spine. It connects directly to trailing stops, to scaling out, to pyramiding, to drawdown protocols, to the shape of your winner distribution, and through that to your Kelly fraction and your risk of ruin.
Six connections into the Money pillar. Entry logic has none.
The topology says it before the arithmetic does. Your exit rule is your risk management, expressed in the language of price. The entry is a door. The exit is the building.
What to do instead
Hold your entry constant and test four exits before you test a fifth entry. You already have the trades. Take your last two hundred, and recompute what each would have returned under a fixed 1R target, a fixed 2R target, a breakeven-then-hold, and a two-ATR trail. This is an afternoon in a spreadsheet and it will tell you more than a year of chart study.
Write the exit rule before the entry rule. Literally, in the plan document, above it. The order on the page changes the order in your head.
Stop looking for confirmation. Additional entry filters raise your accuracy a few points, cost you trades, and buy you a fraction of an R. The same effort spent on the exit buys an order of magnitude more.
Accept that this will feel wrong. A better entry feels like getting smarter. A better exit feels like doing nothing, for longer, while uncomfortable. The market pays for the second one.
The sentence to keep
The Turtles were handed the same entries and produced wildly different results, and the difference was never in what they bought. It was in whether they could hold what they bought until the rule said otherwise.
Curtis Faith put the conclusion plainly: the entry is where amateurs think the edge lives, and the exit is where it actually does.
Eleven times, by this model. Available tomorrow, for free, using trades you are already taking.
You have been optimising the door.
Take your last two hundred trades. Change nothing but what happened after the fill.
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