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Section III · Trade tracker
Refreshed 3h 14m ago
Shadow book.
Every play the engine emits, paper-traded at realistic size — the quantitative trial-and-error lab the live suggestions are calibrated against.
25 open · 207 closes since inception · active signals7-day default view
P&L · 7d
-$20.3K
-$11.0K vs prior 7d
Win rate · 7d
35%
11W / 20L
Open P&L
-$2.7K
25 open · +$51.6K deployed
All-time (active)
+$34.8K
56% wr · 207 closes
Earned vs lost · 7dnet -$20.3K
earned
+$3.4K
lost
-$23.8K
profit factor
0.14
Earned vs lost · all-timenet +$34.8K
earned
+$146.2K
lost
-$111.3K
profit factor
1.31
Performance & analytics — expectancy, equity curve, P&L attribution, entry timingclick to expand
Deploy-grade read · net of slippage + commission
ruleset 2026-06-01.v2NOT YET
Live system, retired signals excluded
Expectancy / trade
+$218
across 204 closes
Win rate (95% CI)
49%
CI 42–56% · 100W/104L
Profit factor
1.26
payoff 1.31×
Net P&L (after costs)
+$44.4K
gross +$92.5K − +$48.0K costs
Sample: established (n≥30)Avg win +$2.2K · avg loss +$1.7Kcost model: $0.65/ct · 5% single / 1% ETF spread fallback
Signal concentration (open book)HHI 0.32
Top signal GEX_FLIP = 38% of deployed risk. Diversified enough (HHI≤0.5).
Sizing is normalized to what we'd actually deploy. Index options (SPX/NDX/RUT) are scaled to the liquid ETF they'd really be traded through (SPY/QQQ/IWM) — one raw NDX contract is ~$242K, which nobody deploys. Position-management notes (scale-ins, size-up/exit) are excluded from capital. Both cost and P&L scale by the same factor, so ROI stays honest. This is the whole point of the shadow book: the dollar figures here are the realistic trial-and-error the live play suggestions are tuned against.
Performance — paper book
Equity curve, active strategies only
207 closes since inception
Last 7d31 closes
$-20.3K/ $49K cap
Last 30d186 closes
+$23.1K/ $419K cap
All time207 closes
+$34.8K/ $453K cap
Currently deployed
$51.6K
cost basis across open shadows
Open P&L (live)
$-2.7K
7.7% lifetime ROI on deployed
Notes
Numbers show paper-book performance — what you'd have earned taking every active-signal shadow at the engine's suggested size. Only live, deploy-grade signals are counted; retired strategies are fully excluded.
P&L attribution — paper book
Where the money came from
active signals · proxy-normalized · all-time
By signal
net realized P&L per alpha source
GEX_FLIP
+$34.6K
107
UW_FLOW
+$22.9K
12
MANUAL
+$1.1K
3
TRIPLE_CONFIRM_LONG
+$643
2
IV_RANK
+$469
4
UW_PUT_FLOW
-$271
12
CREDIT_SPREAD
-$677
23
CSP_INCOME
-$1.9K
14
CC_INCOME
-$22.0K
30
By week
net realized P&L per Monday-anchored week
May 4
+$9.1K
15
May 11
+$2.7K
6
May 18
+$8.5K
32
May 25
+$22.0K
32
Jun 1
+$14.9K
89
Jun 8
-$8.4K
27
Jun 15
-$13.9K
6
By conviction
net realized P&L per entry conviction
HIGH
+$5.0K
91
MED
+$32.6K
96
LOW
-$1.3K
8
—
-$1.5K
12
Avg max favorable
+34%
122 fwd-captured
Avg max adverse
-44%
worst drawdown pre-close
Capture fraction
55%
realized ÷ peak (winners)
Round-tripped
1
hit +50% then closed flat/down
Entry timing — realized edge
Chase vs pullback — which actually pays?
32 closes with entry-day context
↓ Pullback (red-day entry)
+$418
expectancy
56%
win · 9n
+$3.8K
total P&L
bought into weakness — the playbook-preferred entry
↑ Chase (green-day entry)better edge
+$1.7K
expectancy
65%
win · 23n
+$39.5K
total P&L
bought into strength — momentum continuation bet
Entry day classified from the underlying's move on the open date (red = down day = pullback, green = up day = chase). The higher expectancy-per-trade column is the empirically better entry style for the current book — the live scout uses this to bias entry-timing badges.
Looking for fresh trade ideas? Today's UW + Triple-Confirm candidates moved to /scout with full paragraph reasoning per card.open /scout →
Closed · last 30d · 127 of 186
last 30d P&L +$13.8K · 53% win rate · page 5/6 (active signals, proxy-normalized)
| Trade | Signal | Opened | Closed | Hold | P&L | % | Why |
|---|---|---|---|---|---|---|---|
✓CALL LLY $1045 exp Jun 26 | GEX_FLIP | May 20 | May 22 | 2d | +$2.2K | +61% | target +50% hit |
✓CALL SMCI $32 exp Jun 26 | GEX_FLIP | May 20 | May 22 | 2d | +$464 | +53% | target +50% hit |
✓CALL DELL $250 exp Jun 26 | GEX_FLIP | May 20 | May 22 | 2d | +$2.4K | +128% | target +50% hit |
✓CALL LLY $1035 exp Jun 26 | GEX_FLIP | May 21 | May 22 | 1d | +$2.1K | +52% | target +50% hit |
✓CALL ASML $1575 exp Jun 26 | GEX_FLIP | May 21 | May 22 | 1d | +$5.1K | +56% | target +50% hit |
✓CALL SOXL $180 exp Jun 26 | GEX_FLIP | May 21 | May 22 | 1d | +$1.3K | +50% | target +50% hit |
✓CALL SPX $7460 exp Jun 18 | GEX_FLIP | May 12 | May 22 | 10d | +$5.8K | +51% | target +50% hit |
✓CALL SPX $7595 exp Jun 18 | GEX_FLIP | May 18 | May 22 | 4d | +$3.5K | +64% | target +50% hit |
✓CALL GS $960 exp Jun 18 | GEX_FLIP | May 15 | May 21 | 6d | +$1.7K | +55% | target +50% hit |
✓CALL SPX $7600 exp Jun 18 | GEX_FLIP | May 20 | May 21 | 1d | +$2.0K | +56% | target +50% hit |
✓CALL UAL $100 exp Jun 26 | GEX_FLIP | May 21 | May 21 | 0d | +$253 | +56% | target +50% hit |
✓CALL ARM $220 exp Jun 18 | GEX_FLIP | May 12 | May 20 | 8d | +$2.1K | +125% | target +50% hit |
✓CALL GS $955 exp Jun 12 | GEX_FLIP | May 6 | May 20 | 14d | +$1.4K | +57% | target +50% hit |
✓CALL GS $960 exp Jun 12 | GEX_FLIP | May 8 | May 20 | 12d | +$1.6K | +74% | target +50% hit |
✓CALL GS $970 exp Jun 12 | GEX_FLIP | May 11 | May 20 | 9d | +$1.4K | +80% | target +50% hit |
✓CALL GS $995 exp Jun 18 | GEX_FLIP | May 18 | May 20 | 2d | +$803 | +54% | target +50% hit |
✓CALL SNOW $155 exp Jun 12 | GEX_FLIP | May 7 | May 19 | 12d | +$1.1K | +74% | target +50% hit |
✗CALL UAL $100 exp Jun 18 | GEX_FLIP | May 12 | May 19 | 7d | -$258 | -55% | stop -50% hit |
✗CALL HOOD $80 exp Jun 12 | GEX_FLIP | May 6 | May 19 | 13d | -$257 | -51% | stop -50% hit |
✗CALL QQQ $725 exp Jun 12 | GEX_FLIP | May 11 | May 19 | 8d | -$701 | -53% | stop -50% hit |
✗CALL HOOD $80 exp Jun 18 | GEX_FLIP | May 12 | May 19 | 7d | -$315 | -51% | stop -50% hit |
✗CALL MSTR $185 exp Jun 18 | GEX_FLIP | May 15 | May 19 | 4d | -$662 | -52% | stop -50% hit |
✗CALL GEV $1100 exp Jun 5 | GEX_FLIP | May 4 | May 18 | 14d | -$3.1K | -55% | stop -50% hit |
✗CALL GEV $1115 exp Jun 12 | GEX_FLIP | May 5 | May 18 | 13d | -$3.4K | -56% | stop -50% hit |
✗CALL GEV $1100 exp Jun 12 | GEX_FLIP | May 6 | May 18 | 12d | -$3.4K | -52% | stop -50% hit |
Fill quality · backtest vs actual
How far do actual fills drift from the model?
251 closes analysed
refreshed 11d ago
| Signal | Trades | Target % | Median slip | p90 slip | Median hold | Verdict |
|---|---|---|---|---|---|---|
| GEX_FLIP | 86 | 70% | 547 bps | 2776 bps | 6d | WIDE |
| CC_INCOME | 14 | 0% | 955 bps | 5378 bps | 0d | WIDE |
| CREDIT_SPREAD | 11 | 82% | 1356 bps | 5115 bps | 1d | WIDE |
| UW_FLOW | 9 | 56% | 926 bps | 2540 bps | 2d | WIDE |
| UW_PUT_FLOW | 5 | 60% | 769 bps | 1192 bps | 1d | WIDE |
| intraday_scan | 3 | 0% | — | 0 bps | 2d | TIGHT |
| MANUAL | 3 | 33% | 1161 bps | 1161 bps | 4d | WIDE |
| CSP_INCOME | 2 | 50% | 600 bps | 600 bps | 1.5d | OK |
| TRIPLE_CONFIRM_LONG | 1 | 100% | 613 bps | 613 bps | 3d | OK |
Slippage measures how far the actual realised return drifted from the model's +50% target / -50% stop benchmark. TIGHT<200bp = model trustworthy. OK 200–800bp = adjust expectations. WIDE>800bp = re-calibrate. DTE force-close + expirations are excluded (no clean benchmark to measure against).
target hit
118 closes · med 616.2bp · WIDE
stop hit
112 closes · med 476.7bp · WIDE
dte force
21 closes · med —bp · TIGHT
Signal performance · last 30d
186 closes · only signals with 30d activity shown (inactive ones suppressed)
| Signal | Trades | Win rate | Avg P&L | Total P&L | Open |
|---|---|---|---|---|---|
| UW_FLOW | 9 | 56% | +$2.5K | +$22.5K | 2 |
| GEX_FLIP | 93 | 57% | +$124 | +$11.5K | 5 |
| GEX_FLIP_DOWN | 3 | 67% | +$750 | +$2.2K | 3 |
| TRIPLE_CONFIRM_LONG | 2 | 50% | +$321 | +$643 | 0 |
| MANUAL | 1 | 100% | +$268 | +$268 | 0 |
| UW_PUT_FLOW | 12 | 67% | -$23 | -$271 | 1 |
| CREDIT_SPREAD | 23 | 52% | -$29 | -$677 | 2 |
| CSP_INCOME | 14 | 29% | -$138 | -$1.9K | 11 |
| IV_RANK | 11 | 18% | -$908 | -$10.0K | 0 |
| CC_INCOME | 30 | 43% | -$733 | -$22.0K | 4 |
Want all-time history? See /system. Want lifecycle stages? See /regime.