Good trade, bad outcome: grade the decision, not the P&L
Every trader knows the two trades that don’t make sense. The one where you did everything right — the setup was yours, the size was planned, the stop was honored — and it lost. And the one where you chased, oversized, moved the stop, broke three of your own rules… and got paid. If you grade those two trades by their P&L, you just graded them backwards. Do that a few hundred times and the account doesn’t just shrink — it shrinks while training you to trade worse.
Resulting: the error with a name
Decision scientists call it resulting: judging a decision by its outcome instead of by its quality at the moment it was made. In deterministic work — carpentry, accounting — outcomes track decisions closely, so the shortcut is harmless. Trading is the other kind of work. Any single trade is dominated by variance: a positive-expectancy decision loses routinely, and a negative-expectancy decision wins routinely. Over a sample, the edge shows. On any given Tuesday, the outcome is close to noise — and grading noise is how superstitions get built.
The four squares
Cross decision quality with outcome and every trade lands in one of four squares. Good call, green is the earned win — the only square worth trying to repeat. Good call, red is variance: tuition that was priced into the system before you took the trade. The correct response is the hardest one — change nothing. Bad call, red is honest tuition: painful, informative, useful. And bad call, green is the square that ends accounts.
The mechanism is textbook behavioral science: intermittent, unpredictable reward is the strongest reinforcement schedule known — the same one that makes slot machines work. When breaking your rules pays out even occasionally, the behavior being reinforced is breaking your rules. This is why traders who “got away with it” early often blow up later and bigger: the market spent months training the exact behavior that eventually meets its true expectancy. The research on retail trading outcomes is consistent — the large majority of frequent traders lose over time (Barber & Odean, 2000) — and loss-chasing behavior escalates risk-taking as losses accumulate (Bedder et al., 2023). Prospect theory adds the engine: losses weigh roughly twice as much as equivalent gains (Kahneman & Tversky, 1979), so the outcome-graded trader is not even grading outcomes neutrally — the red squares teach twice as loudly as the green ones.
What grading the decision actually looks like
It requires a written plan, because you cannot grade execution against a plan that exists only in hindsight. Then, for each trade, score the decision before you let yourself see its P&L in the review: Was the setup one you actually trade? Was the size the planned size — not the size your last outcome suggested? Was the stop placed where the plan puts it, and did it stay there? Was the exit the designed exit, not a feeling? Four yes answers is an A trade whatever the money did. Keep a simple tally of A-trades per day next to your P&L. Over any meaningful sample, the first column predicts the second — but only the first one is under your control on a Tuesday afternoon.
Why this is hard, clinically
Outcome-grading isn’t a knowledge deficit — most traders can recite “process over outcome” on request. It persists because the outcome arrives with a feeling attached, and the feeling grades the trade before the mind gets a vote. A win feels like validation whatever produced it; a loss feels like error whatever produced it. Grading the decision means overriding a signal your nervous system treats as truth — which is a practiced skill, not a resolution. The written plan, the pre-P&L review, and the A-trade tally are not bookkeeping; they are the apparatus that lets a slower, more accurate grader get to the trade before the feeling files its report.
If the paid-out mistakes have started to feel like a system — if the wins that break your rules feel better than the ones that follow them — that pattern is worth taking seriously. Dr. Germanos sees traders in clinical practice by telehealth — details at doctheo.com/trading-psychiatrist.
What is resulting in trading?
Resulting is judging the quality of a decision by how it happened to turn out. In a probabilistic game a good decision loses regularly and a bad one gets paid regularly, so the outcome of any single trade carries very little information about whether the decision was sound. Graded trade by trade, P&L teaches the wrong lessons with real money as the reinforcer.
Why do my worst trades sometimes make money?
Because in the short run variance dominates. A chased entry, an oversized position, or a held loser will each be rescued by the market some meaningful fraction of the time. The payout is real but the lesson is poison: a paid-out mistake is the single most effective way to train a leak, because intermittent, unpredictable reward is the strongest reinforcement schedule there is.
How do I grade a trade if not by profit?
Grade the decision at the moment it was made, against your own written plan: was the setup one you trade, was the size the planned size, was the stop placed and honored, was the exit executed as designed? Score each trade on those criteria before you look at its P&L. Over a large sample the money follows the grades; over a small sample it follows nothing.
Does grading process instead of outcome mean ignoring losses?
No — it means reading them correctly. A loss on a well-executed trade is tuition that was already priced in; changing your process because of it is how systems get destroyed. A loss on a badly executed trade is information about execution. The expensive square is the other one: the badly executed trade that got paid, because it argues for its own repetition.
References: Kahneman D, Tversky A (1979). Prospect theory: an analysis of decision under risk. Econometrica. · Barber BM, Odean T (2000). Trading is hazardous to your wealth. J Finance. · Bedder RL et al. (2023). Risk taking in response to accumulating losses. Sci Rep.
Also on Psychiatrade: Revenge trading · Why do I keep losing money? · Losing money? Start here