What is a trade review, and why does it beat daily journaling alone?
A trade review is a scheduled analysis session where you convert journaled trades into specific rule adjustments and setup-level decisions. The weekly review takes 30 minutes and answers tactical questions (was my stop discipline intact, did I size A+ setups correctly). The monthly review takes 90 minutes and answers strategic questions (which setups produced my edge, which setups should I stop trading). A journal without reviews is just a spreadsheet; the review is where the learning happens.
According to Brad Barber and Terrance Odean’s multi-year studies of retail traders (2000, 2011), roughly 70% to 90% of day traders lose money over long periods — largely due to repeated behavioral errors that a structured review would catch. Van Tharp’s R-multiple framework pushes in the opposite direction: if your average R per trade stays above +0.5 and your rule compliance stays above 90%, you have the statistical foundation for a durable edge.
The 5 Metrics Every Weekly Review Must Calculate
Write these five numbers before you interpret anything.
- Win rate — winners divided by total trades. Compare to your 90-day rolling average.
- Average R-multiple — average of (P&L per trade) divided by (initial risk per trade). Target above +0.3R minimum, above +0.5R for a sustainable edge.
- Profit factor — gross wins divided by gross losses (absolute values). Below 1.0 is losing. 1.0 to 1.5 is marginal. 1.5 to 2.0 is good. Above 2.0 is excellent and often unsustainable long term.
- Max drawdown — largest peak-to-trough equity decline during the week.
- Rule-violation count — tally of trades that deviated from your written plan (entry, stop, size, or time-of-day).
A concrete example from a US equities day trader, Sarah, for the week ending Friday:
- 12 trades, 7 winners, 5 losers, net +$1,840
- Win rate: 58.3%
- Average R: +0.63
- Gross wins $2,710, gross losses $870, profit factor 3.11
- Max intraweek drawdown: -$620 (Tuesday afternoon, after two SPY stops)
- Rule violations: 2 (entered SPY 3 minutes late on an ORB, sized AAPL at 1.5% risk instead of 1%)
Surface read: a good week. The review is what turns that surface read into an action item.
The Weekly Review: 30 Minutes, 7 Questions
Block Friday 4:30pm to 5:00pm on your calendar. Close the chart platform. The review requires a different mindset than trading.
Step 1 — Compute the 5 metrics (5 minutes)
Pull the week’s data and write the five numbers. No interpretation yet.
Step 2 — R-multiple distribution (5 minutes)
List every trade’s R. Look for the shape of the distribution. Healthy shape: a few +2R to +4R winners, many small losers near -1R, no single loss worse than -1.5R. Unhealthy shape: the largest loss is bigger than the largest win, or more than 20% of trades cluster at the maximum loss size (suggesting you are not cutting stops early enough).
Step 3 — Best-executed and worst-executed trade (5 minutes)
Not the biggest winner and loser — the best and worst execution. A +$600 gain from an impulsive TSLA chase that happened to work is a badly executed win. A -$200 loss where you took a clean ORB entry on NVDA, held the stop exactly, and stopped out on a trend reversal is a well-executed loss. Circle the well-executed loser; it is the trade you want to repeat.
Step 4 — Rule compliance audit (5 minutes)
Count trades where you followed every written rule. Divide by total trades. Target 90% or higher. If compliance is below 80%, the rule-compliance problem outranks any strategy question. Fix the discipline gap before adjusting setups.
Step 5 — Setup-level quick look (5 minutes)
Group this week’s trades by setup tag. Eyeball P&L per tag. Large patterns only — one bad week of one setup is not enough data to act on. Note any setup that has been negative for 3+ consecutive weeks and flag it for the monthly review.
Step 6 — Write 3 action items (3 minutes)
Not goals. Not resolutions. Three specific behaviors to execute next week:
- “Wait for the 5-minute close on every breakout entry; no 2-minute fills.”
- “Reduce size from 1% to 0.75% risk after any two consecutive losses in the same session.”
- “Do not trade gap-fade setups on AAPL, MSFT, or NVDA — their failure rate in my journal is 70%.”
Step 7 — Next-week process goal (2 minutes)
One goal, process-oriented, measurable. Example: “Enter at least 80% of A+ setups that appeared in my pre-market plan.” Not “make more money.”
The Monthly Review: 90 Minutes, First Saturday
The monthly review is where you earn most of the journal’s ROI. Set aside 90 minutes on the first Saturday of each month, after the previous month’s data has settled.
Block 1 — Month-over-month metrics (15 minutes)
Plot four metrics on a 6-month rolling basis: net P&L, average R, profit factor, max drawdown. Look at the trajectory, not the latest point. The DALBAR Quantitative Analysis of Investor Behavior study has shown for decades that the average investor underperforms the S&P 500 by roughly 4% annually, almost entirely due to behavioral errors. The monthly review is what catches those errors before a full year of damage.
Block 2 — Setup expectancy table (20 minutes)
This is the highest-leverage block. Filter all month-end trades by setup tag. For each setup, compute:
Expectancy = (win% x avg win in R) − (loss% x avg loss in R)
Example table for a futures day trader’s month:
- ORB breakout: 68% win, +1.9R avg win, -1.0R avg loss → expectancy +0.97R
- Pullback continuation: 55% win, +1.4R avg win, -1.0R avg loss → expectancy +0.32R
- Gap-and-go: 48% win, +2.2R avg win, -1.0R avg loss → expectancy +0.54R
- Mean-reversion fade: 35% win, +0.9R avg win, -1.1R avg loss → expectancy -0.40R
Decision: the ORB setup deserves 2x the position size. The mean-reversion fade is off the menu for 30 days. This single table is worth more than a year of casual journaling.
Block 3 — Time-of-day and day-of-week heatmap (15 minutes)
Group trades by hour of the session and by day of the week. Most retail traders discover a clear bias: profitable in the first 90 minutes, breakeven or negative midday, mixed in the last hour. Sarah’s monthly heatmap showed 72% of her ORB profits fell between 9:30am and 11:00am ET; her 1:30pm to 3:00pm block produced -$480 for the month. Action: no new entries 1:30pm to 3:00pm unless an A+ setup triggers.
Block 4 — Behavioral patterns (15 minutes)
Scan for four specific patterns:
- Overtrading days — days with trade counts more than 1.5x your daily average. What triggered them?
- Revenge trading sequences — a loss immediately followed by a larger position in the next 10 minutes.
- Missed A+ setups — setups flagged in your pre-market plan that you did not take. Why not?
- Emotion-to-P&L correlation — if you tag emotions (confident, hesitant, frustrated, flat), compute P&L per emotion tag.
Block 5 — Update the trading plan (20 minutes)
Make the plan reflect what the data showed. Document every change with the specific trigger:
- “Adding: double position size on ORB setups (expectancy +0.97R, n=24).”
- “Removing: mean-reversion fades for 30 days (expectancy -0.40R, n=17).”
- “New rule: no new entries 1:30pm to 3:00pm ET (P&L -$480 this month).”
Keep a dated change log. Over 2 years this becomes the most valuable document in your trading career.
Block 6 — Write 3 action items and one process goal (5 minutes)
Same structure as the weekly review, but the scope is strategic, not tactical.
Review Templates
Weekly Template
Week of: [date range]
Scorecard:
- P&L: ___
- Win rate: ___%
- Avg R: ___
- Profit factor: ___
- Max drawdown: ___
- Rule violations: ___
R-multiple distribution: [sketch or list]
Best-executed trade: [ticker, setup, what was done right]
Worst-executed trade: [ticker, setup, what broke down]
Compliance: ___% of trades followed plan
3 action items for next week:
Process goal: ___
Monthly Template
Month: [month / year]
Scorecard:
- Net P&L: ___
- Total trades: ___
- Avg R: ___
- Profit factor: ___
- Max drawdown: ___
Setup expectancy table: [setup name — win% — avg win R — avg loss R — expectancy]
Top setup: [name, expectancy, n]
Bottom setup: [name, expectancy, n]
Time-of-day pattern: [best block, worst block, action]
Behavioral pattern identified: [description, sample count]
Market regime this month: trending / ranging / volatile, with notes
Plan changes (with evidence):
- Adding: ___
- Removing: ___
- Modifying: ___
3 action items for next month:
Common Review Mistakes
- Reviewing only losers. You will never size winners correctly if you do not audit how you traded them.
- Anchoring on outcome, not process. A lucky winner is not a good trade; a disciplined loser is not a bad trade. Separate the two explicitly in every review.
- No written action items. A review without 3 specific written actions is a therapy session, not a review.
- Changing strategy after one bad week. Sample size matters. Require 3 consecutive negative months of setup-level expectancy before cutting it.
- Skipping the month when you are up. Winning months silently inflate risk tolerance. The monthly review is arguably more important after a +20% month than after a -5% one.
Cadence: Weekly Tactical, Monthly Strategic, Quarterly System-Level
- Weekly (30 min, Friday 4:30pm): tactical — execution, compliance, R distribution.
- Monthly (90 min, first Saturday): strategic — setup expectancy, time-of-day, equity curve.
- Quarterly (3 hours, first Saturday of Jan / Apr / Jul / Oct): system-level — are my edges still edges, is my market regime assumption valid, does my risk model match my current account size?
Anders Ericsson’s deliberate-practice research is explicit: skill improvement requires immediate, specific feedback loops. The weekly review is that feedback loop. Without it, you are practicing without learning.
How JournalPlus Helps
The JournalPlus review dashboard pre-computes the 5 weekly metrics, the setup expectancy table, and the time-of-day heatmap, so the 30 minutes go to thinking rather than calculating. Setup tags, R-multiple distributions, and rule-violation flags feed the same views. If you already review in a spreadsheet, the app replaces the data-prep step — the review itself is still yours.
People Also Ask
How long should a weekly trade review take?
30 minutes is the target. Any shorter and you skip setup-by-setup analysis; much longer and you start rationalizing losers. The cadence that sticks for most traders: Friday 4:30pm to 5:00pm, right after the US close. The 30-minute box forces you to answer 7 specific questions (P&L, R distribution, rule violations, best/worst execution, plan deviations, next-week goal, tag accuracy) and stop.
What metrics must every weekly review calculate?
Five: (1) win rate, (2) average R-multiple across all trades, (3) profit factor (gross wins divided by gross losses), (4) max drawdown during the week, (5) count of rule violations. Van Tharp's R-multiple framework suggests an average R above 0.5 is the minimum for a sustainable edge. A profit factor under 1.0 means you lost money; 1.5 to 2.0 is good; above 2.0 is excellent.
How do I find my A+ setups during a monthly review?
Tag every trade by setup type, then compute expectancy per tag using (win% x avg win) minus (loss% x avg loss). The 80/20 rule almost always applies: 80% of profits come from 2 or 3 setups. Example: opening-range-breakout setups producing +1.8R expectancy on a 75% win rate, while gap-fade setups show -0.5R on a 30% win rate. Action: trade the winners bigger, kill the losers for 30 days.
How do I review a losing week without overcorrecting?
Compute two numbers alongside P&L: rule-compliance percentage and a process score from 0 to 10. If compliance is above 90% and process is above 7, the week was well-executed even at negative P&L. Kahneman's outcome-bias research shows humans evaluate decisions by results, not process. A 5 to 15 trade sample is too small to prove a strategy failed; you need 3 consecutive negative months at the setup level before cutting it.
Should I review every trade or only the losers?
Review the 3 largest winners, the 3 largest losers, and any trade flagged as a rule violation. Reviewing only losers is the single most common review mistake because it hides the question 'did I size my winners correctly?' A well-executed loss is worth more study than a lucky win — the disciplined loss proves your process, the lucky win can mask a bad setup that will punish you next month.
When should a quarterly review replace a strategy, versus sitting through drawdown?
Stick through drawdown when your 90-day profit factor is above 1.3 and the drawdown is within 1.5x your historical max. Change the strategy when: expectancy has been negative for 3 consecutive months, the setup's base-rate conditions have shifted, or the regime the setup depended on has ended (trending to ranging, low-vol to high-vol). Market regime often matters more than screen time.
