Post-Trade Review Checklist

A clean debrief of every closed trade, built to judge the quality of the decision separately from the luck of the outcome, so the right lessons survive.

Post-Trade Checklist: After a trade closes, review it to learn, not to celebrate or punish. Record the result in R-multiples, confirm you followed your stop, size and plan, log real costs and slippage, and grade the decision on process rather than on whether it happened to win. A well-managed loss is a good trade and a reckless win is a bad one; the review protects that distinction. This is educational reflection, not a signal.

The post-trade review is where improvement actually happens, but only if it separates the quality of your decision from the randomness of the result. A single trade tells you little about your edge; a well-followed plan that lost is a good trade, and a rule-breaking bet that won is a bad one that got lucky. Reviewing without that lens teaches the wrong lessons. Keep the debrief short, honest and consistent, ideally logged in a journal you can aggregate later in the weekly review.

Record the facts

Log entry, exit, stop, size and the instrument, including the NSE lot count and strike or expiry for options.
Record the result as an R-multiple: outcome ÷ the initial 1R risk, so a ₹3,000 risk that made ₹6,000 is +2R.
Note the actual rupee risk taken versus the planned risk, to catch silent size creep.
Record all costs, brokerage, STT, exchange fees, GST and the slippage between intended and actual fills.
Note the maximum adverse excursion (how far it went against you) and maximum favourable excursion (how far in your favour), to judge stop and target placement.
Timestamp the trade so you can later spot patterns by time of day, day of week or proximity to expiry.

Grade the decision, not the outcome

Confirm you sized the position from the stop and within your per-trade risk limit; a win that broke this rule is still a process failure.
Confirm you honoured the stop and did not widen it or average down outside plan.
Check whether the entry matched a real setup in your plan or was an impulse, FOMO or revenge trade.
Judge the trade as good or bad on process alone: did you follow your rules, regardless of profit or loss?
Identify any luck in the result, a favourable gap or a lucky fill, so you do not mistake it for skill.
Note whether the exit followed your written plan or was an emotional early or late exit.
Confirm the trade did not quietly breach portfolio heat or correlation limits when combined with others open at the time.

Capture the lesson

Write one specific, repeatable lesson, an action to keep or to change, not a vague resolution.
Note your emotional state during the trade, calm, anxious, greedy or fearful, and whether it affected decisions.
Flag any rule you broke, so repeated breaks show up as a pattern rather than one-off excuses.
Record whether the setup actually behaves as your strategy expects, feeding the wider question of whether the edge is real.
Add the trade to your running log so metrics like win rate, average R and expectancy stay current.
Avoid over-reacting to a single result; one trade is a sample of one, and changing a system after every loss is itself a mistake.

Done consistently, these debriefs turn scattered trades into data you can actually learn from. Aggregate them in the weekly and monthly reviews to see the process behind the numbers.

Frequently asked questions

What is an R-multiple and why record it?

An R-multiple expresses a trade's result in units of the risk you took, so a profit of twice your initial risk is +2R and a full stop-out is minus 1R. Recording results in R normalises trades of different sizes onto one scale, letting you measure expectancy and compare setups fairly regardless of the rupee amounts involved.

How do I judge a trade that lost money?

By process, not outcome. If you sized correctly, placed a sensible stop and honoured your plan, a loss is simply the cost of doing business and the trade was well executed. Losses are unavoidable; the review should confirm the decision was sound, because a good process will lose on many individual trades while still working over a large sample.

Why is a winning trade sometimes a bad trade?

Because a profit earned by breaking your rules, oversizing, ignoring the stop or chasing an impulse, was luck, not skill, and rewarding it trains a dangerous habit. If you praise every win regardless of how it was made, you will eventually repeat the reckless version when the luck runs out. Grade the decision separately from the result.

Should I change my strategy after a losing trade?

Rarely on the basis of one trade, which is a sample of one and dominated by randomness. Constantly tweaking a system after every loss, sometimes called over-fitting to the last trade, usually makes it worse. Look for patterns across many logged trades in your weekly and monthly reviews before changing anything structural.

What should I log about costs and slippage?

Record brokerage, STT, exchange fees and GST, plus the slippage between the price you intended and the price you got. Over many trades these reveal how much cost drag your style carries, which matters most for high-turnover or far-OTM option trading where the real breakeven is well above the theoretical one.

How long should a post-trade review take?

Only a few minutes per trade if you keep a consistent template: facts, a process grade and one lesson. The value comes from doing it every time rather than from length. A short, honest debrief you actually complete beats a detailed one you abandon after a week.

Last reviewed 12 July 2026. Educational content only — not investment advice.