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Loading the week…
R by trade
Each closed trade this week, in R — green above the line pays for red below it.
🧠 Coach's notes
Rule-based, plain English — the same questions a coach would ask reading this ledger.
- Reading the week…
Where the R came from — by setup / source
Which tool or setup originated each trade (as recorded on the journal entry). Feed the winners, starve the losers.
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🛡️ Discipline score
Checklists vs fills, overrides, the overtrading counter, and stop overruns — process quality, independent of P&L.
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🤖 The system's week (Deep Dive 15 scorecard)
Graded picks from the engine's rolling scorecard plus the calibration read — so you can compare your week to the system's.
Checking the scorecard…
📐 How the grade is computed (the whole formula)
1 · Expectancy (in R):
2 · Expectancy points (0–60): ≥ +0.50R → 60 · ≥ +0.25R → 50 · > 0R → 40 · ≥ −0.25R → 25 · worse → 10 · no closed trades → 35 (neutral — the grade rides on discipline).
3 · Discipline score (0–100): start at 100, subtract:
4 · Grade:
Dollar figures use your actual journal P&L; the "$ at 1% risk" line converts total R at the $2k house rule ($20 per R). Full math:
expectancy = winRate × avgWin − lossRate × avgLoss, where avgWin / avgLoss are average magnitudes in R and break-evens count as 0R losses.2 · Expectancy points (0–60): ≥ +0.50R → 60 · ≥ +0.25R → 50 · > 0R → 40 · ≥ −0.25R → 25 · worse → 10 · no closed trades → 35 (neutral — the grade rides on discipline).
3 · Discipline score (0–100): start at 100, subtract:
(1 − checklists/fills) × 50 (a fill without a passed checklist is a violation) · overrides ×5 (cap 20) · overtrading-amber days ×5 (cap 15) · stops widened/overrun (loss ≤ −1.5R with a planned stop) ×10 (cap 20).4 · Grade:
total = expectancy points + disciplineScore × 0.4 → A ≥ 85 · B ≥ 70 · C ≥ 55 · D ≥ 40 · F below.Dollar figures use your actual journal P&L; the "$ at 1% risk" line converts total R at the $2k house rule ($20 per R). Full math:
/lib/weekly-math.js, tested by scripts/test-weekly-review.js.