The Final Tape
Weekly Journal Review Checklist
45-minute ritual + 30-day bootstrap tracker — compliance → expectancy → tag ranking → one rule
Compliance bands
- Green ≥80%: Process fidelity — learn from outcome second
- Amber 50–79%: Partial adherence — note which rules broke
- Red <50%: Out-of-process — exclude from setup-level expectancy
Minimum schema columns
Lock these before trade one (Excel, Notion, or any app):
portfolio_id · setup_name · compliance_% · planned_risk_$ · net_pnl · realized_r · regime_tag · entry_tag · exit_tag · risk_%_version
Step 1: Compliance check (0–10 min)
- Pull last 20 trades
- Filter to compliance ≥80%
- If <70% of book is green, fix logging before reviewing edge
Step 2: R-multiple & expectancy (10–25 min)
- On filtered rows: calculate expectancy in R
- Record avg winner R and avg loser R
- Compare filtered vs full book — green week + negative filtered expectancy = warning
Step 3: Tag ranking on losers (25–35 min)
- Sort negative tags on losers by frequency × avg R lost
- Pick top tag as single fix candidate
- Do not fix three things — fix one
Step 4: One Kill List rule (35–45 min)
- Write one specific, testable rule tied to top tag
- Add to Kill List if you use one
- Example: No manual exit before +1R unless stop is at breakeven
30-day bootstrap tracker
Install the daily log + weekly loop system in four weeks. Check off each item as you go.
Week 1 — Lock schema
- Lock portfolio and column list
- Log every trade with compliance % and at least one tag
- Success: 100% of trades have compliance + tags
Week 2 — First loop
- Run 45-minute loop on last 20 rows
- Write Kill List item #1 (specific, testable)
- Success: one rule written down
Week 3 — Execute
- Obey Kill List item #1 only
- Log whether you followed it on every trade
- Success: rule compliance ≥80%
Week 4 — Compare
- Run second weekly loop
- Compare tag frequency and filtered expectancy to week 2
- Success: Rank 1 tag frequency down OR filtered expectancy up
Full guides: How to Build a Trading Journal That Improves Your Edge · Why Most Trading Journals Lie to You
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