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
closetoosoonthis week vs. 15% last week” → actionable insight.
