Moving Your Stop to Breakeven Breaks Your R‑Multiple
Trailing a stop is good risk management. It is also the fastest way to make your own statistics lie to you — because almost every journal divides by the stop that survived, and the stop that survived is not the risk you took.
Reported
+373.7R
All‑time, measured against the surviving stop
Actual
−73.9R
Same trades, measured against the risk taken
In money
−$335.84
What the account really did over those trades
The short version
- R is your result divided by the risk you took. The risk you took is the distance from entry to your original stop.
- When you trail that stop to breakeven, the entry–stop distance collapses toward zero. Divide by a number near zero and R does not get slightly bigger — it explodes.
- On a real account we examined, one gold trade worth $6.89 was scored at +172.25R, because its stop had been trailed to four cents from entry.
- That single number turned the account's all‑time total from a true −73.9R into a reported +373.7R — on an account that had actually lost $335.84.
- The fix is to record the stop you opened with, and measure R against that. Everything downstream corrects itself.
1. What R actually measures
R is the cleanest idea in trade measurement. You risked some amount; you made or lost some multiple of it. A trade that makes twice what you were prepared to lose is +2R, whether that is twenty dollars or twenty thousand. It lets you compare a gold trade to a EURUSD trade to a trade you took two years ago on an account a tenth the size.
The whole idea rests on one number in the denominator: the risk you took. Not the risk you ended up with. The risk you accepted at the moment you clicked buy, which is the distance from your entry to the stop you set.
R = result ÷ (entry − original stop)
That word original is doing an enormous amount of work, and almost every trading journal quietly drops it.
2. What breaks when the stop moves
Trailing a stop is not a mistake. Moving to breakeven once a trade is running, then trailing behind structure, is textbook risk management — it is how you stop a winner turning into a loser. Nobody should stop doing it.
But consider what it does to the arithmetic. You enter gold at 4561.39 with a stop at 4565.44, four dollars away. The trade runs your way. You trail the stop down past entry to 4561.35, so the position can no longer lose. You exit at 4554.50 with $6.89.
Your journal now stores sl = 4561.35, because that is where the stop finished. It
computes:
6.89 ÷ |4561.39 − 4561.35| → divide by four cents → +172.25R
A $6.89 trade, scored as one of the greatest trades ever recorded. And notice there is no error anywhere: the entry is right, the exit is right, the stop is right, the division is right. Every input is accurate and the output is nonsense, because the formula was fed the wrong stop.
It gets worse when the stop ends up past your entry. On that same trade the final stop sat on the profitable side of the entry price — the position was locked in profit and could not lose. At that point the entry–stop distance is not risk at all. It is locked‑in gain. Dividing by it is not measuring anything.
3. A real account, before and after
These are not invented figures. They come from one live MetaTrader account with 434 recorded trades that we examined while rebuilding how TradeAssay computes R.
Of the 420 trades that had both an entry and a stop:
- 47 carried a separately recorded “planned” stop — the one set at entry. On every single one of those 47, it differed from the final stop. The planned stop averaged 6.6× wider.
- 30 had a final stop sitting on the profit side of entry: trailed past breakeven, so no risk remained to divide by.
- The largest R in the book was +172.25, on that $6.89 gold trade. Behind it: +68.5R on $13.70, +36.5R on $5.11, +28.7R on $7.05.
Measured against the surviving stop, the account looked like this:
| Against the final stop | Against the stop actually taken | |
|---|---|---|
| All‑time total | +373.7R | −73.9R |
| Largest single trade | +172.25R | +3.2R |
| Actual money over the same trades | −$335.84 | |
Read that bottom row twice. The account lost money. The journal reported it as up 373R. And it was not a rounding problem or a display bug — the sign was wrong. A trader reading that screen would conclude their system was working beautifully and their only problem was position sizing.
Once R is measured against the stop actually taken, the total lands at −73.9R, which finally agrees in direction with the money. The largest trade drops from 172R to a believable 3.2R.
4. Check one of your own trades
Take any trade where you moved the stop. Put the four prices in and see both numbers side by side — the R your journal probably shows you, and the R you actually earned.
What is this trade really worth in R?
Nothing is sent anywhere — this runs entirely in your browser.
The example loaded above is a real trade: gold, short from 4561.39 with a stop four dollars away, trailed to four cents past entry before it closed for $6.89.
5. Three screens that told the same lie
A wrong R does not stay in one place. It is the denominator of nearly every statistic a journal produces, so one bad value propagates into everything that averages. On this account it broke three separate screens, in three different ways:
The distribution chart flattened
A bar chart of per‑trade R has to fit its tallest bar. With one bar at 172 and the rest between −1 and +3, every real trade rendered as a flat line along the axis. The chart was technically correct and completely unreadable.
The behavioural finding inverted
The journal reported that trades taken straight back in after a loss averaged +0.46R — that revenge trading was, for this trader, profitable. The median of those same 91 trades was −0.91R: the typical re‑entry gave back nearly a full stop. Three inflated values had carried the mean across zero and reversed the conclusion.
The forecast promised a future that did not exist
A Monte Carlo simulation resamples your trade history thousands of times to project a range of outcomes. Feed it a book containing +172R and it will draw that value again and again across every run and compound it. The projection: a median +50R over the next 100 trades and only a 10.6% chance of ending down — for an account that had just lost $335. Remove the ten inflated values and the same simulation returns −11.6R.
None of those three features was miscoded. Each was a correct computation over a corrupted input, which is the hardest kind of bug to see: everything looks right, and everything is wrong.
6. Why one trade can own an average
It is worth being precise about why a handful of values does this much damage, because the instinct — “it is only ten trades out of 434” — is exactly backwards.
A mean has no defence against magnitude. One value of 172 contributes as much to the sum as 172 ordinary 1R trades. In a book of 434 trades where the median is roughly zero, ten values averaging 40R contribute about 400R of signal, and the other 424 trades contribute almost nothing. The average is not describing your trading. It is describing those ten trades, with your trading as background noise.
This is why the median matters so much on R statistics specifically. The median asks “what does a typical trade look like?” and no single value can move it far. When your mean and your median disagree about the direction of a result, the mean is being carried by outliers, and any conclusion drawn from it is a conclusion about those few trades.
A quick test on your own journal. Sort your trades by R, descending. If your top few are above about +10R, open them and look at the stop. If the stop is sitting near — or past — your entry price, that R is measuring a trailed stop, not your risk, and every average in your journal is carrying it.
7. How to fix it in any journal
The fix is not to stop trailing stops. It is to record two numbers instead of one.
-
Record the stop you opened with, separately
Whatever you call it — planned stop, initial stop, original risk — it needs its own field, written once when the trade is opened and never edited afterwards. That value is what R is defined against. If your journal only has one stop field, put the original in it and record the trailed exit as an exit, not as a stop.
-
Treat a missing original stop as unknown, not as zero
If a trade has been trailed and you never recorded where it started, its R is not computable. The honest handling is to exclude it and say so. A journal that fills the gap with the trailed stop produces a confident number that is wrong, which is worse than a visible blank.
-
Read the median next to the mean
On any R statistic — expectancy, average win, performance after a loss — look at both. When they agree, the finding is about your trading. When they disagree in sign, the finding is about a few trades, and you should go and look at those trades before you act on it.
-
Sanity‑check the extremes before you trust an average
Anything past roughly ±10R deserves a look. Genuine 10R+ winners exist, but they are rare, and on most accounts a very large R turns out to be a very small trade with a very tight stop rather than a very good trade.
TradeAssay now measures R against the planned stop wherever one was recorded, and returns no R at all — rather than an inflated one — where the stop was trailed into profit and no original was kept. It also lists the affected trades so the original stop can be filled in afterwards, at which point they rejoin the statistics with the right number.
See what your own numbers look like
Sync a MetaTrader account or import a file, and TradeAssay will tell you which trades have a risk it cannot recover — before any average is built on them.
Frequently asked questions
What is an R‑multiple in trading?
An R‑multiple expresses a trade's result as a multiple of the money you risked on it. If you risked $100 and made $250, that is +2.5R. Because it normalises for position size, it lets you compare trades across instruments and across account sizes. The risk in the denominator is the distance from your entry to your original stop — the amount you accepted losing when you opened the trade.
Does moving my stop to breakeven ruin my statistics?
Moving the stop does not ruin anything — it is good risk management. What ruins the statistics is a journal that then measures R against the moved stop. If your journal records the original stop separately and divides by that, you can trail as much as you like and every figure stays correct.
Why is my R‑multiple so high on a small winning trade?
Almost always because the stop recorded against that trade is very close to the entry price. R is result divided by risk, so a stop four cents from entry on a gold trade produces a huge R on a few dollars of profit. Check whether the stop stored on that trade is the one you opened with or the one you trailed to.
Should I use the initial stop or the final stop to calculate R?
The initial one, always. R measures the risk you accepted, and you accepted it when you opened the trade. The final stop tells you where the trade closed, which is already captured by the exit price. Using it in the denominator measures nothing meaningful.
How many large R values does it take to distort an average?
Very few. A single +172R value contributes as much to a total as 172 trades at +1R. On a 434‑trade account, ten inflated values were enough to move the reported all‑time total from −73.9R to +373.7R and to reverse the sign of the result.
What should a journal do with a trade whose original risk is unknown?
Exclude it from R‑based statistics and say so on screen. The trade still counts for money figures, win rate by P&L, and everything else that does not need a denominator. Substituting the trailed stop produces a number that looks authoritative and is not.
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Trading foreign exchange, futures and derivatives carries substantial risk and is not suitable for every investor. Only risk capital should be used. TradeAssay is a journaling and analytics tool: it does not provide investment advice, does not place orders, and past performance recorded in it is not a guarantee of future results. The figures and calculator on this page are illustrative arithmetic, not a prediction of results.