Section III · Trade tracker
Refreshed 1h 44m 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.

71 open · 111 closes since inception7-day default view
Real-money readiness · active signals, net of costs
Ready to deploy68% win · +$784/trade · PF 2.75 · n=111
Edge is positive and statistically established across the active signals. Full breakdown in Performance & analytics below.
stats 8m ago
P&L · 7d
+$44.2K
++$18.4K vs prior 7d
Win rate · 7d
67%
37W / 18L
Open P&L
-$6.8K
71 open · +$178.3K deployed
All-time (active)
+$64.4K
69% wr · 111 closes
Performance & analytics — expectancy, equity curve, P&L attribution, entry timingclick to expand
Deploy-grade read · net of slippage + commission
ruleset 2026-05-29.v1DEPLOY ✓

Live system, retired signals excluded

Expectancy / trade
+$784
across 111 closes
Win rate (95% CI)
68%
CI 58–76% · 75W/36L
Profit factor
2.75
payoff 1.32×
Net P&L (after costs)
+$87.0K
gross +$104.6K − +$17.6K costs
Sample: established (n≥30)Avg win +$1.8K · avg loss +$1.4Kcost model: $0.65/ct · 5% single / 1% ETF spread fallback
Signal concentration (open book)HHI 0.38
Top signal GEX_FLIP = 54% 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

111 closes since inception
Last 7d55 closes
+$44.2K/ $141K cap
Last 30d111 closes
+$64.4K/ $263K cap
All time111 closes
+$64.4K/ $263K cap
Currently deployed
$178.3K
cost basis across open shadows
Open P&L (live)
$-6.8K
24.5% 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
+$42.9K
76
UW_FLOW
+$31.3K
9
MANUAL
+$2.1K
5
TRIPLE_CONFIRM_LONG
+$870
1
IV_RANK
+$469
4
CSP_INCOME
+$261
2
INTRADAY_SCAN
-$3
3
CC_INCOME
-$13.5K
11
By week
net realized P&L per Monday-anchored week
May 4
+$9.1K
18
May 11
+$2.7K
6
May 18
+$8.5K
32
May 25
+$22.0K
32
Jun 1
+$22.2K
23
By conviction
net realized P&L per entry conviction
HIGH
+$35.2K
41
MED
+$27.4K
52
LOW
+$3.3K
3
-$1.5K
15
Avg max favorable
+39%
25 fwd-captured
Avg max adverse
-28%
worst drawdown pre-close
Capture fraction
76%
realized ÷ peak (winners)
Round-tripped
0
hit +50% then closed flat/down
Entry timing — realized edge

Chase vs pullback — which actually pays?

19 closes with entry-day context
↓ Pullback (red-day entry)
+$1.2K
expectancy
100%
win · 3n
+$3.5K
total P&L
bought into weakness — the playbook-preferred entry
↑ Chase (green-day entry)better edge
+$2.0K
expectancy
75%
win · 16n
+$31.2K
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 · 22 of 111

last 30d P&L +$24.2K · 64% win rate (active signals, proxy-normalized)
TradeSignalOpenedClosedHoldP&L%Why
CALL
SNDK $1380
exp Jan 14
UW_FLOWMay 7May 3124d+$26.8K+56%target +50% hit
CALL
NOW $114
exp Jul 1
TRIPLE_CONFIRM_LONGMay 28May 313d+$870+56%target +50% hit
CALL
AAOI $165
exp Jun 11
CC_INCOMEMay 28May 313d-$3.9K-152%premium hit 1.5x entry (50% lo
CALL
AXTI $112
exp Jun 11
CC_INCOMEMay 28May 313d-$525-57%premium hit 1.5x entry (50% lo
CALL
AXTI $113
exp Jun 11
CC_INCOMEMay 28May 313d-$530-60%premium hit 1.5x entry (50% lo
PUT
ANET $152.5
exp Jun 11
CSP_INCOMEMay 28May 313d+$196+56%BTC target (50% profit) hit
CALL
AAOI $180
exp Jun 11
CC_INCOMEMay 31May 310d-$2.3K-92%premium hit 1.5x entry (50% lo
CALL
AAOI $182.5
exp Jun 11
CC_INCOMEMay 31May 310d-$2.1K-90%premium hit 1.5x entry (50% lo
CALL
NVDA $220
exp Jun 4
UW_FLOWMay 31May 310d+$130+24%DTE ≤ 7 — force exit (theta cr
CALL
AVGO $420
exp Jun 4
UW_FLOWMay 19May 289d+$1.3K+70%target +50% hit
CALL
TSLA $355
exp Jun 4
UW_FLOWMay 20May 288d+$1.4K+20%DTE ≤ 7 — force exit (theta cr
PUT
INTC $109
exp Jun 4
IV_RANKMay 21May 287d+$188+61%BTC target (50% profit) hit
PUT
AAOI $152.5
exp Jun 4
IV_RANKMay 21May 287d-$70-11%DTE ≤ 7 — force exit (theta cr
CALL
MSFT $420
exp Jul 16
UW_FLOWMay 27May 281d+$1.4K+80%target +50% hit
CALL
NVDA $180
exp May 21
UW_FLOWMay 17May 170d-$123-3%DTE ≤ 7 — force exit (theta cr
CALL
ENPH $45
exp Sep 17
UW_FLOWMay 14May 140d+$528+56%target +50% hit
PUT
AAOI $175
exp May 14
MANUALApr 30May 77d+$260+12%DTE ≤ 7 — force exit (theta cr
PUT
AAOI $162.5
exp May 14
MANUALMay 3May 74d+$555+32%DTE ≤ 7 — force exit (theta cr
CALL
MSTR $180
exp May 14
UW_FLOWMay 4May 62d-$910-63%stop -50% hit
PUT
INTC $88
exp May 28
IV_RANKApr 30May 55d+$192+55%BTC target (50% profit) hit
CALL
SPX $7255
exp Jun 17
UW_FLOWApr 30May 55d+$8.1K+51%target +50% hit
PUT
INTC $86
exp May 28
IV_RANKMay 3May 41d+$159+50%BTC target (50% profit) hit
Fill quality · backtest vs actual

How far do actual fills drift from the model?

170 closes analysed
refreshed 3d ago
SignalTradesTarget %Median slipp90 slipMedian holdVerdict
GEX_FLIP6068%541 bps3187 bps6dWIDE
UW_FLOW450%597 bps1123 bps1dWIDE
intraday_scan30%0 bps2dTIGHT
MANUAL333%1161 bps1161 bps4dWIDE

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
75 closes · med 577.9bp · WIDE
stop hit
86 closes · med 379.6bp · WIDE
dte force
9 closes · med bp · TIGHT

Signal performance · last 30d

111 closes · only signals with 30d activity shown (inactive ones suppressed)
SignalTradesWin rateAvg P&LTotal P&LOpen
GEX_FLIP7671%+$998+$75.8K33
UW_FLOW978%+$4.3K+$38.6K5
MANUAL3100%+$361+$1.1K0
UW_PUT_FLOW1100%+$873+$87311
TRIPLE_CONFIRM_LONG1100%+$870+$8701
CSP_INCOME2100%+$131+$2614
CREDIT_SPREAD1100%+$140+$14010
earnings_5_7_AMC1100%+$65+$650
NVDA_corning_optical_halo1100%+$65+$650
decision_zone_loss_cap1100%+$63+$630
no_recovery_signal1100%+$63+$630
AAPL_chip_rumor_bloomberg0+$01
portfolio_audit_5_30+$01
corning_optical_jv_catalyst0+$01
meta_insider_gpu_shortage0+$01
GEX_FLIP_DOWN0+$06
MACRO_HEDGE0+$02
TRIPLE_CONFIRM_SHORT0+$02
intraday_scan367%-$1-$32
theta_decay_12dte10%-$130-$1300
post_earnings_winner_lock10%-$130-$1300
IV_RANK1250%-$665-$8.0K3
CC_INCOME1127%-$1.2K-$13.5K1

Want all-time history? See /system. Want lifecycle stages? See /regime.