The Weekly Review Process: Turning Data Into Decisions

The Most Important 45 Minutes of Your Trading Week

Professional athletes spend more time reviewing film than playing games. Professional traders spend significant time reviewing their journals.

The weekly review is not administrative work. It's where your analytical edge is built — where you identify specific, actionable improvements that compound over time.

The Weekly Review: A Step-by-Step Framework

Schedule: Sunday evening or Monday morning, before the markets open. 30–45 minutes maximum.

What you need: Access to your trading journal (Tradapt recommended for automated metrics).

Step 1: Calculate This Week's Key Metrics (5 minutes)

Pull or calculate:

• Total trades
• Win rate
• Profit factor
• Average R-multiple
• Behavioral mistake count (off-playbook, emotional, rule violations)
• Total P&L

These numbers are your baseline. Don't interpret yet — just record.

Step 2: Review Every Losing Trade (10 minutes)

For each losing trade this week, answer:

• Was this a valid setup (in my playbook, all criteria met)?
• Did I execute correctly (entry timing, stop placement, sizing)?
• Could this loss have been prevented?

Classify each loss:

• A-Loss (good loss): Valid setup, correct execution, bad outcome. This is normal variance — nothing to change.
• B-Loss (execution error): Valid setup, but execution deviated from plan. Note the specific deviation.
• C-Loss (invalid trade): Not in playbook, emotional, or behavioral mistake. This is where to focus.

Key question: What % of your losses this week were C-Losses (preventable)? This is your primary improvement metric.

Step 3: Look for Behavioral Patterns (10 minutes)

Review your emotional state data and behavioral tags for the week:

• Did behavioral mistakes cluster on a specific day? (e.g., you always go off-playbook on Fridays)
• Did they follow a specific trigger? (e.g., behavioral mistakes always follow your first loss of the day)
• Were your "A-Setups" taken consistently, or were you skipping your best setups?

These patterns are invisible in a single week but crystal-clear over 4–8 weeks. The weekly review builds the pattern recognition database.

Step 4: Identify Your Best and Worst Setup This Week (5 minutes)

Best setup: Which had the highest expectancy this week? Are you trading it as often as it appears?

Worst setup: Did any setup have particularly poor performance this week? Is this consistent with prior weeks, or a one-week anomaly?

Rule: Don't change setups based on single-week performance. Three consecutive underperforming weeks is the threshold for meaningful review.

Step 5: Set One Specific Improvement for Next Week (5 minutes)

Based on everything above, define ONE specific behavioral or execution improvement for the coming week.

Good improvement examples:

• "No trading after the third trade of the day"
• "Only trade A-Setups on Fridays (when data shows B/C setups fail more)"
• "Wait for full candle close above VWAP before entering, not during candle"
• "Take my VWAP reclaim setup every time it appears — I've been skipping it"

Bad improvement examples:

• "Be more disciplined" (too vague)
• "Don't lose money" (outcome-based)
• "Try four new setups" (too many variables)

The specificity of the improvement is what makes it implementable and measurable.

Step 6: Write the Weekly Summary (5 minutes)

Write 5–10 sentences summarizing the week: what happened, what you learned, and what you're improving next week. Date and save it.

This record, accumulated over months, creates an invaluable narrative of your development — including the specific, dated moments when you made significant improvements.

Monthly Review Additions

Once per month, add to the weekly review:

• Plot profit factor trend over the last 12 weeks
• Review behavioral mistake rate trend (should be declining)
• Compare your top setup's performance to 3 months ago
• Update your trading plan if warranted

In Tradapt: The weekly AI review automates much of this analysis — but it's not a substitute for the deliberate, specific reflection process above. Use the AI review as a starting point; do the deeper analysis yourself.