Live session 21 was a good day. Sam's one trade hit its target for +$29.14, and he sat down at 11:30 to review it feeling pleased with himself.
Forty minutes later he was still at it. He'd replayed the whole morning twice, read three posts about the stock and worked out how much more he'd have made if he'd held another 20 minutes. He was late for his shift.
That evening he opened his journal and found what the 40 minutes hadn't produced. No fill prices. No emotional rating. No change for tomorrow. He'd spent a lot of time looking back and still had nothing to carry forward.
In 30 seconds
- A post-market review is a short, structured look at today's trades against your written plan, done the same day, ending in one decision for tomorrow.
- A good daily review fits in about 15 minutes: record the facts, grade each decision, replay one trade and decide one change (or no change).
- Grade the decision before the dollars, because outcome bias makes people rate the same decision better when it happens to turn out well.
- In DayTradingToolkit's simulation, a rule-following trade with a real edge lost money 59.5% of the time, while a losing habit still paid off 37.8% of the time.
In this lesson you'll learn what a post-market review is and why it works, why the decision gets graded before the result, a 15-minute checklist in four blocks, how to replay a trade without fooling yourself and how one daily review feeds the weekly one. If you haven't built a journal yet, start with Lesson 83: The Trading Journal, because the review runs on what the journal records.
What is a post-market review?
A post-market review is a short, structured check of the day's trades against your written plan, done the same day, that ends with one decision for the next session.
Think of the debrief after a flight-training session. The instructor doesn't replay every second of the flight. They go over what was planned, what actually happened, why, and the one thing to practice next time. Then everyone goes home.
Your journal and your review do different jobs. The journal is the record: prices, setups, results and notes. The review is the thinking you do with that record. A full journal with no review is a filing cabinet nobody opens.
For Sam, the review sits in the 30 minutes between the end of his trading window at 11:30 and the start of his work shift at noon. That time limit is useful. It forces the review to be short, which is the only kind that survives past week two.
Does reviewing your trades actually help?
Reviewing your trades helps because structured debriefs reliably improve performance: a meta-analysis of 46 samples found that debriefs improved effectiveness by about 25% on average compared with control groups.
That meta-analysis, by Scott Tannenbaum and Christopher Cerasoli, covered 2,136 participants (Tannenbaum and Cerasoli). None of them were traders, but the finding transfers well, because a trading session is a performance like any other: a plan, an execution and a result.
Many debriefs borrow their template from the US Army's after-action review. A US Army Research Institute report describes it as a discussion that breaks one big question, "How did the unit do?", into three smaller ones: what happened, why did it happen, and how can performance improve (Morrison and Meliza). Those three questions are the backbone of the replay block in the checklist below.
Why should you grade the decision before the dollars?
You should grade each trade's decision separately from its result because outcomes are noisy, and people naturally judge a decision as better when it happens to turn out well.
Psychologists call this outcome bias. In a classic 1988 experiment, Jonathan Baron and John Hershey gave people medical decision cases that differed in whether the outcome was a success or a failure, and the decisions that turned out well were rated as better decisions, even by people who said outcomes shouldn't matter. A 2023 replication with 692 participants confirmed the effect (Aiyer et al.).
In trading, outcome bias does damage in both directions. It punishes good trades that lose, and it rewards bad trades that win. DayTradingToolkit simulated both, using the same trade model as Lessons 89 to 91: a rule-following trade with a true edge of +0.09R, and an assumed bad habit (such as chasing an extended entry) that averages −0.31R.
- After this many trades
- 1
- The losing habit still looks profitable
- 37.6%
- The rule-following trade still looks like a loser
- 59.4%
- After this many trades
- 5
- The losing habit still looks profitable
- 29.4%
- The rule-following trade still looks like a loser
- 39.4%
- After this many trades
- 10
- The losing habit still looks profitable
- 28.6%
- The rule-following trade still looks like a loser
- 43.1%
- After this many trades
- 20
- The losing habit still looks profitable
- 17.6%
- The rule-following trade still looks like a loser
- 39.7%
| After this many trades | The losing habit still looks profitable | The rule-following trade still looks like a loser |
|---|---|---|
| 1 | 37.6% | 59.4% |
| 5 | 29.4% | 39.4% |
| 10 | 28.6% | 43.1% |
| 20 | 17.6% | 39.7% |
DayTradingToolkit simulation, seed 929292: 100,000 runs per row; the bad habit is an assumption, set 0.40R worse than a rule-following trade. Results come in lumps (a full win or a full stop), so the middle rows don't fall smoothly. All figures are hypothetical.
Read the first row slowly. A rule-following trade with a real edge loses more often than it wins, and a habit that costs you money pays you more than a third of the time. Even after 10 tries, a losing habit looks like a winner almost 3 times in 10.
That's why the review grades every trade on two separate questions: did you follow your plan, and what was the result? Together they put each trade in one of four boxes.
The box to watch hardest is bad process with a win. It feels like a success, so it's the one you're least likely to question. A broken rule that pays you is a bill that hasn't arrived yet.
What goes in a 15-minute post-market review?
A 15-minute post-market review has four blocks: record the facts, grade each trade, replay one trade and decide one change for tomorrow.
- Minutes
- 0 to 3
- Block
- Record
- What you do
- Fill in every journal field: actual fill prices, result after costs, planned risk against actual loss
- Minutes
- 3 to 8
- Block
- Grade
- What you do
- Answer the six daily questions below and put each trade in one of the four boxes
- Minutes
- 8 to 12
- Block
- Replay
- What you do
- Take the one trade that taught the most and ask what happened, why and what to improve or keep
- Minutes
- 12 to 15
- Block
- Decide
- What you do
- Write one change for tomorrow, or "no change," and check your go-back triggers and experiment stop
| Minutes | Block | What you do |
|---|---|---|
| 0 to 3 | Record | Fill in every journal field: actual fill prices, result after costs, planned risk against actual loss |
| 3 to 8 | Grade | Answer the six daily questions below and put each trade in one of the four boxes |
| 8 to 12 | Replay | Take the one trade that taught the most and ask what happened, why and what to improve or keep |
| 12 to 15 | Decide | Write one change for tomorrow, or "no change," and check your go-back triggers and experiment stop |
The grading block uses six questions, starting with whether you ran your pre-market routine from Lesson 87. They take about 10 minutes on their own when you're new, and closer to five once they're a habit.
Two details make the blocks work.
Record before you judge. Write the facts first, while the numbers are on your screen. If your actual loss was bigger than planned, the difference is slippage and fees, and you can't measure what you didn't write down.
Decide exactly one thing. "No change" counts as a decision, and after a good-process loss it's usually the right one. Five changes at once means you'll never know which one helped.
How do you replay a trade without fooling yourself?
Replay a trade by judging it only on what you could see at the moment you decided, and by comparing it with the plan you wrote before the trade, never with the chart that came after.
The chart after the trade is the most misleading thing on your screen. In a 1975 set of experiments, psychologist Baruch Fischhoff found that people who were told how a situation turned out judged that outcome as more inevitable than people who weren't told, an effect he called creeping determinism (Fischhoff). Once you know where price went, the right move looks obvious. It wasn't obvious when you decided, and your review should give you credit or blame only for what you knew then.
Use the three after-action questions, in order:
- Question
- What happened?
- What to check
- Entry, stop and exit times and prices against your written plan
- A trap to avoid
- Describing what the stock did after you left
- Question
- Why did it happen?
- What to check
- Was the setup valid? Did the market move against everything? Did you hesitate?
- A trap to avoid
- Blaming "the market" for a rule you broke
- Question
- What will you improve or keep?
- What to check
- One behavior to fix, or one to keep doing on purpose
- A trap to avoid
- Changing a rule because of one loss
| Question | What to check | A trap to avoid |
|---|---|---|
| What happened? | Entry, stop and exit times and prices against your written plan | Describing what the stock did after you left |
| Why did it happen? | Was the setup valid? Did the market move against everything? Did you hesitate? | Blaming "the market" for a rule you broke |
| What will you improve or keep? | One behavior to fix, or one to keep doing on purpose | Changing a rule because of one loss |
Pick the trade that taught the most, which isn't always the biggest loss. Often it's a winner with a broken rule, because that's the trade your memory will want to file under "good."
How does the daily review feed the weekly one?
The daily review feeds the weekly one by leaving a clean, consistent row of data for every session, so the weekly review can count patterns instead of trying to remember them.
Each day leaves the same few marks: which of the four boxes each trade landed in, the emotional rating, planned risk against actual loss and the one change. At the weekly review (Lesson 83 covers the weekly and monthly levels), you count them. How many trades landed in "bad process"? Did the 4s and 5s on emotion line up with the rule breaks? Did yesterday's one change actually happen?
Those counts also feed your 30-day checkpoints from Lesson 91. A checkpoint is only as good as the daily notes behind it.
Sam's 15-minute review
Here's Sam's review after live session 22, the day after the 40-minute one. Everything is hypothetical, at his $15 quarter size, with fees and slippage included.
Sam's review after live session 22 (hypothetical)
Illustrative example- Record
One trade, a planned pullback in PQRS. Stop hit at 10:19. Planned risk $15.00, actual loss $16.76, so $1.76 went to slippage and fees, close to his month-one average.
- Grade
Routine done. One trade, and it was planned. Entry, stop and exit all by the rules. Emotional state 2 of 5, a bit annoyed. Daily max loss not reached. Box: good process, loss.
- Replay
What happened: the entry triggered at 10:06 and broke the pullback low 13 minutes later. Why: the whole market dipped at 10:15 and PQRS went with it; the setup was valid when he took it. Keep: the stop went in with the entry and he didn't touch it.
- Decide
One change: none to the plan. He adds a column for SPY's direction at entry, to test over the next 20 trades before deciding anything. No go-back triggers close; experiment stop far away.
- Done
Tomorrow's note written at the top of the page. Fourteen minutes, and lunch before his shift.
Notice what Sam didn't do. He didn't add a rule to skip trades when SPY dips. One loss is one data point, and the four-box grid told him this was normal variance. Instead he started collecting the evidence he'd need to decide later.
Then he went back and regraded session 21's winner in two minutes. Good process, win: the setup was on his plan, the size was right and he exited at his target. The 20 extra minutes of "what if he'd held" had been the only mistake that day, and it wasn't a trading one.
Mistake and fix
Turning the review into a second trading session
Your turn
Run your first timed review (15 minutes)
Check your understanding
Check your understanding
You followed every rule, but the trade hit its stop. Which box is it in, and what should change?
A rule-following trade with a real edge still loses most of the time. Changing the plan after one such loss is reacting to noise.
Check your understanding
Why does the bad process, win box deserve the most attention?
In the simulation, a habit averaging −0.31R still paid off 37.8% of the time. Each lucky win makes the habit harder to drop.
Check your understanding
When you replay a trade, what should you compare it with?
Hindsight makes the right move look obvious. Judging only what you knew at the time keeps the review fair and useful.
Key takeaways
- Review the same day, in about 15 minutes, and stop when the timer does.
- Record the facts first, then grade the decision, then look at the dollars.
- Watch hardest for trades where you broke a rule and still made money.
- Replay one trade against your plan and what you could see at the time.
- Leave every review with exactly one decision, even if it's "no change."
Frequently asked questions
Should you review on days you don't trade?
Is it better to review right after the session or the next morning?
What if you're too upset to review after a bad loss?
Can software or AI do the review for you?
What if your review keeps finding nothing wrong?
How long should you keep your old reviews?
Up next: how do you know you're getting better?
Ten sessions after his first timed review, Sam has ten rows of grades, boxes, emotion scores and results. It's more data than he's ever had about his own trading, and he still can't answer the question that matters: is he improving? Which numbers actually show progress, and how much noise is hiding in them? Lesson 93: Building Consistency picks the numbers to track.
Disclaimer
Article Sources
- Tannenbaum and Cerasoli (2013), Do Team and Individual Debriefs Enhance Performance? A Meta-Analysis, Human Factors - 46 samples, 2,136 participants: debriefs improved effectiveness over control groups by about 25% (d = 0.67).pubmed.ncbi.nlm.nih.gov
- Morrison and Meliza (1999), Foundations of the After Action Review Process, US Army Research Institute Special Report 42 - Describes the after-action review as working out what happened, why it happened and how to improve or sustain performance.apps.dtic.mil
- Aiyer et al. (2023), Outcomes Affect Evaluations of Decision Quality: Replication and Extensions of Baron and Hershey's (1988) Outcome Bias Experiment 1, International Review of Social Psychology - 692 participants confirmed that decisions with good outcomes are rated more favorably.pmc.ncbi.nlm.nih.gov
- Fischhoff (1975), Hindsight Is Not Equal to Foresight: The Effect of Outcome Knowledge on Judgment Under Uncertainty, summarized by AHRQ PSNet - People told an outcome judged it as more inevitable in hindsight (creeping determinism).psnet.ahrq.gov






