Most Trading Losses Come From Breaking Your Own Rules

Sort a year of trades by size of loss and look at the top ten. In most journals the same thing shows up ten times over: a rule that existed on paper and didn’t get applied. A stop moved. A size bumped. An entry taken outside the plan because the chart looked too good to walk past.

The market supplies the losses. The rule breaks supply the big ones.

Two questions, different answers

Two questions are available after a trade. Most people only ask the first one. Did it make money? The market picked that answer. It tells you almost nothing about what you did.

The second question is whether you followed your plan. That one belongs entirely to you, and across the next few hundred trades it predicts your results far better than any single outcome ever could manage on its own.

They come apart constantly. Break the plan and win, and you’ve just taught yourself the rule was optional. Follow the plan and lose, and that’s the system doing what it does, a cost that belongs in the file marked normal. Score both by outcome and you’ll take away exactly the wrong lesson from each.

Bluntly: a profitable month containing three rule breaks is in worse shape than a losing month containing none, because the breaks are the mechanism that eventually produces the loss you can’t absorb, and the profit was the market paying you this time round for a habit that will bill you later.

The arithmetic of a rule break

The shape gives it away. With a fixed stop, every loss ought to land somewhere near −1R. So the −1.6R, the −2.3R and the −4R sitting in the journal are not mysteries: each one is a trade where the stop got moved, or the size was wrong, or the position was held through something it had no business being held through.

Now total them. It’s common enough for the rule-break trades to be a small share of the year and most of the drawdown, while the trades that followed the plan, taken on their own, show a perfectly comfortable positive expectancy. That trader doesn’t have an edge problem. They have a compliance problem, and they’ve spent months trying to solve it by looking for better setups.

Sort a bad stretch into two piles — trades that followed the plan and lost, and trades that never followed the plan at all — and the second pile is almost always the smaller one and almost always the more expensive. It is not a comfortable thing to find, and it is at least something that can be acted on.

Why rules get broken

Ignorance is rarely involved. You know the rule. It breaks because at the moment the decision gets made something else in the room is louder: a loss that wants recovering, a run of wins that feels like skill, a chart that looks like the one that got away last month.

Which is why telling yourself to be more disciplined does nothing. Discipline collapses under exactly the conditions where you need it. What actually works is taking the decision away: a stop entered as a live order the moment you get filled, a daily loss limit that shuts the platform down, a share count that comes out of a calculator instead of a mood.

Making the plan the thing you review

1. Write the plan so every trade scores yes or no against it. A rule that reads two ways gets read whichever way suits the open position.
2. Add a column to the journal. Plan followed, yes or no. Fill it in honestly, and fill it in at the time.
3. Once a month, work out expectancy separately for the yes rows and the no rows. The gap between them is what your rule breaks cost you in R, and for most people it turns out to be the largest number anywhere in the whole review.
4. When the no rows pile up around one particular rule, change that rule’s mechanism until the decision stops being yours to make at all.

The trading plan guide deals with writing rules you can actually score, and the trading psychology section deals with why the same rules give way under the same conditions for very nearly everyone.