How to Journal Weekly Trade Review

Weekly trade reviews are the operational backbone of consistent trading improvement, yet most traders either skip them or reduce them to a P&L glance. What separates the 10-30% of traders who remain profitable over a multi-year horizon from the rest is not better setups — it is better data extraction from the setups they already run. A structured 60-90 minute Sunday review, applied consistently, turns a week of raw trades into two concrete action items: what to cut and what to scale.

Essential Fields to Track

Field	Why It Matters
Net P&L	Baseline result for the week — context for deeper analysis, not the analysis itself
Win Rate by Setup	Aggregate win rate obscures which setups are working; per-setup win rate reveals it
Average Winner / Average Loser (R)	R-multiples expose true edge — a 40% win rate with 2.5R avg winner beats a 60% rate with 0.8R
Session / Time of Day	Most traders run positive expectancy in the morning open and negative in the afternoon — heatmapping finds this
Execution Grade (1-3)	Separates plan adherence from outcome — identifies whether losses came from bad process or bad luck
Emotional State Tag	Tilt signatures only appear when emotion is logged alongside size and entry criteria
Setup Name	Required for any per-setup calculation — without labeling, expectancy math is impossible
Position Size vs. Plan	Deviations from planned size are the clearest tilt indicator available in your trade log

The two most critical fields are setup name and execution grade. Without setup-level labeling, you cannot calculate expectancy. Without execution grading, you cannot separate strategy failure from discipline failure — and confusing the two leads to abandoning profitable setups during normal drawdown.

Sample Journal Entry

Date: 2026-04-06 (Sunday Review — Week of March 31 to April 4)
Total Trades: 22
Net P&L: +$487.60
Win Rate (overall): 50% (11W / 11L)

Setup Breakdown:
- Momentum Breakouts (12 trades): 7W / 5L | Avg Winner: $180 | Avg Loser: $95
  Expectancy: (0.58 × 180) - (0.42 × 95) = +$64.80/trade
- VWAP Reclaim Scalps (10 trades): 4W / 6L | Avg Winner: $90 | Avg Loser: $110
  Expectancy: (0.40 × 90) - (0.60 × 110) = -$30.00/trade

Session Heatmap:
- 9:30-10:30 AM: 14 trades, 64% win rate, +$612.40
- 10:30 AM-12:00 PM: 5 trades, 40% win rate, +$38.20
- 12:00-4:00 PM: 3 trades, 0% win rate, -$163.00

Execution Grades: Avg 2.4/3 | 3 trades flagged as tilt entries (Thursday PM)

Emotional Tags: Tilt after two consecutive VWAP losses Thursday — entered breakout trades at 2x planned size, both losers

Kill List: Suspend VWAP reclaim scalps for 2 weeks
Scale List: Increase breakout size to 150 shares on grade-3 entries only
Key Lesson: Afternoon PM session is net-negative for third consecutive week — no trades after 12 PM starting Monday

This example illustrates the core calculation that drives every review decision. The momentum breakout setup generated +$64.80/trade in expectancy across 12 trades. The VWAP reclaim setup cost -$30.00/trade across 10 trades. Despite a profitable week overall, the VWAP setup was a net drag — a conclusion that only surfaces through per-setup expectancy math, not by looking at total P&L.

Review Process

1. Compile raw stats — Pull net P&L, trade count, overall win rate, and average winner/loser. This is the baseline, not the finding. Takes under 5 minutes.

2. Calculate per-setup expectancy — Apply the formula: (Win Rate × Avg Winner) - (Loss Rate × Avg Loser) for each setup. A result below 0 belongs on the kill list. Require at least 10-15 trades per setup before drawing conclusions — below that, sample size renders the number unreliable.

3. Run a session heatmap — Group trades into time blocks: pre-market, 9:30-10:30 AM, 10:30 AM-noon, and afternoon. Calculate win rate and P&L per block. Most active traders will find one block — typically afternoon — that consistently runs negative. This is a structural finding, not a bad-luck finding.

4. Grade execution — Score each trade 1-3 on plan adherence. A trade stopped out at your predetermined level with correct size is a 3/3 regardless of outcome. A trade entered outside your setup criteria that happened to work is a 1/3. Average grade below 2.0 indicates a discipline issue, not a strategy issue.

5. Identify tilt signatures — Scan for: position sizes above your stated plan, entries taken within 10 minutes of a losing trade, setups that don’t match your defined criteria. Tilt tends to cluster — two or three consecutive outlier trades on a single day are a stronger signal than isolated events.

6. Build the kill list and scale list — Write exactly two outputs. Kill list: setups or sessions with negative expectancy or consistent execution failures to suspend next week. Scale list: setups with confirmed positive expectancy (minimum 20+ trade sample) where size can increase by 25-50%. These two outputs are the only deliverables that matter.

7. Set next week’s specific rules — Convert outputs to measurable constraints: “No VWAP reclaims until the May review,” “Momentum breakouts: 150 shares on grade-3 entries, 100 shares on grade-2.” Review this at the start of Monday’s session. Conduct this full review weekly; run a deeper synthesis monthly to spot multi-week trends.

Common Mistakes in Weekly Trade Review Journaling

1. Reviewing total P&L instead of per-setup expectancy — A profitable week can contain a setup running at -$30/trade that is being masked by a stronger setup. Reviewing at the aggregate level makes this invisible. Always calculate expectancy per setup, every week.

2. Skipping the execution grade field — Without scoring plan adherence separately from outcome, you cannot distinguish bad luck from bad process. Traders who omit this field regularly abandon profitable setups during normal drawdown because they cannot tell the difference between “the setup stopped working” and “I stopped executing the setup.”

3. Combining setups across sessions — A VWAP reclaim at 9:45 AM and a VWAP reclaim at 2:15 PM are functionally different trades with different market conditions and different expectancy. Logging them under the same setup label without session tags hides the time-of-day pattern that could eliminate your worst-performing hours.

4. Waiting too long between reviews — Pattern recognition requires 50-100 trades per setup to stabilize statistically. Weekly reviews compound that sample four times faster than monthly reviews. Skipping weeks means arriving at your monthly review with insufficient data to act on.

5. Writing observations without action items — A review that concludes with “I need to be more disciplined” is not a review — it is a journal entry. Every weekly review session must end with a written kill list and a written scale list. If you cannot name at least one item for each list, you have not reviewed deeply enough.

How JournalPlus Handles Weekly Trade Reviews

The JournalPlus weekly analytics dashboard surfaces per-setup win rate, average R, and expectancy automatically once trades are tagged by setup name. Traders reviewing their day trades or momentum setups can filter by any setup label and see the expectancy calculation populated without manual math. The session heatmap — grouping trades by time-of-day block and displaying P&L density — is a built-in view on the analytics screen, not a custom export.

Execution grading and emotional tags are custom fields that carry through to the weekly filter. When a trader filters their review to “all trades graded 1/3” or “all trades tagged as tilt,” the resulting subset gives a precise breakdown of where discipline failures clustered. This is the data that informs the kill list and scale list without requiring manual spreadsheet work.

The weekly review output — kill list and scale list — can be saved as a weekly note attached to the review date. Prop traders and swing traders who run lower frequency can extend the review window to two or three weeks while using the same framework. The core calculation does not change; only the sample window shifts to accumulate sufficient trades per setup.