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⭐

Weekly Review Template

Weekly Performance Stats

  • Total Trades:
  • Win Rate:
  • Profit Factor:
  • Expectancy (E[R]):
  • Net P/L:
  • Max Drawdown:
  • Best Day / Worst Day:

2. Trade Distribution

By Playbook Type:

  • Pullback in Strong Trend:
  • Key Level Rejection:
  • Breakout & Continuation:
  • Momentum Failure & Absorption:

By Trade Classification

  • Good Trade / Good Outcome:
  • Good Trade / Poor Outcome:
  • Poor Trade / Good Outcome:
  • Poor Trade / Poor Outcome:

By Exit Type

  • Target Hit:
  • Structural Failure:
  • Time-Based:
  • Emotional:
  • Rule-Based Scratch:
(Paste Journalytix or tag summary if useful.)

3. Repeating Execution Patterns (Tag Aggregation)

Execution Tags (Frequency)

  • Hesitation:
  • Late Entry:
  • Early Exit:
  • Over-management:
  • Clean Execution:

Behavioral Tags

  • FOMO:
  • Fear:
  • Impatience:
  • Discipline:
  • Neutral:

Structural Context Tags

  • Trend-aligned:
  • Counter-flow:
  • Range-bound:
  • Transitional:
(If a tag appears ≥3 times, it matters.)

4. What Strengthened the System This Week

(Observed behaviors or conditions that improved outcomes.)
-
-

5. What Weakened the System This Week

(Only items that appeared repeatedly.)
-
-

6. Adjustments (Max 1–2)

Candidate Adjustments:

  • ☐ Execution
  • ☐ Risk
  • ☐ Trade Selection
  • ☐ None (System held)

Adjustment Description:

-

Scope:

  • ☐ Test next week
  • ☐ Observe only
  • ☐ Defer (monthly review)

7. Meta Check (Bounded)

  • Mindset State (overall): [ ]
  • System Integrity:
    • Creed → Rules → Execution → Results aligned? ☐ Yes ☐ Mixed ☐ No
  • Primary Focus for Next Week:
    • (One sentence.)

Runner Opportunity Audit

  • Trades tagged runner_potential: [ ]
  • Trades tagged runner_nopotential: [ ]
  • Avg MFE vs actual exit: [ ]
  • Structural conditions that supported runner potential:
    • -
      -
(Purpose: decide whether runners deserve system-level treatment.)

📌 Usage Tip:
  • Think of the daily notes as trees and the weekly as the forest.
  • Keep weekly notes concise but comparative: “X% of trades tagged closetoosoon this week vs. 15% last week” → actionable insight.