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Outcome bias: grading the decision by the result

A trade that followed the rules and lost is a good trade. A trade that broke the rules and won is a bad one. Most traders know this and still feel the opposite.

Outcome bias distorts learning. Lucky wins from rule violations reinforce bad habits, while unlucky losses from sound decisions lead to unnecessary changes.

A remedy is scoring each trade on process, separately from result. Create a short checklist: setup valid, spread acceptable, size correct, entry timing right, exit per plan. Give each trade a process score, then compare the two.

Over time, the relationship between process scores and results shows whether the rules have real value. If high-process trades make money on average and low-process trades lose, the system works and discipline is the issue. If high-process trades do not make money, the system needs revision.

Reviewing losers and winners with equal rigor keeps the focus on what can be controlled.

Does the journal grade trades on process, or only on profit and loss?

I started scoring process separately about a year ago and it changed how I read my journal. After every trade I give it three points for the setup, spread and size being right, and two more for entry and exit following the plan, so five is a clean trade. Then I look at the result column only at the end of the week.

My first month of data was uncomfortable. The trades with a score of four or five made a small profit overall, but the ones with a three or lower lost far more than they won, and some of my best winners were actually the lowest scorers, trades where I moved the stop or entered early and got lucky. Without the score I would have remembered those as good decisions.

The other thing I noticed was how often a losing trade scored five. That made it easier to leave the system alone after a red day. Now I only change a rule when several clean trades in a row lose, not because one result felt bad.