Section III · Trade tracker
Refreshed 2h 29m 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.

21 open · 229 closes since inception · active signals7-day default view
P&L · 7d
-$17.6K
++$12.4K vs prior 7d
Win rate · 7d
47%
18W / 20L
Open P&L
+$929
21 open · +$28.5K deployed
All-time (active)
+$33.9K
55% wr · 229 closes
Earned vs lost · 7dnet -$17.6K
earned
+$5.6K
lost
-$23.2K
profit factor
0.24
Earned vs lost · all-timenet +$33.9K
earned
+$151.0K
lost
-$117.1K
profit factor
1.29
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
+$191
across 226 closes
Win rate (95% CI)
50%
CI 43–56% · 112W/114L
Profit factor
1.24
payoff 1.27×
Net P&L (after costs)
+$43.2K
gross +$91.5K − +$48.3K costs
Sample: established (n≥30)Avg win +$2.0K · avg loss +$1.6Kcost model: $0.65/ct
Signal concentration (open book)HHI 0.35
Top signal GEX_FLIP = 41% 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

229 closes since inception
Last 7d38 closes
$-17.6K/ $54K cap
Last 30d202 closes
+$39.4K/ $406K cap
All time229 closes
+$33.9K/ $476K cap
Currently deployed
$28.5K
cost basis across open shadows
Open P&L (live)
+$929
7.1% 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
+$32.5K
108
UW_FLOW
+$22.9K
12
MANUAL
+$1.1K
3
TRIPLE_CONFIRM_LONG
+$643
2
IV_RANK
+$469
4
UW_PUT_FLOW
-$121
12
CREDIT_SPREAD
-$577
32
CSP_INCOME
-$2.0K
18
CC_INCOME
-$21.1K
38
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
-$14.9K
28
By conviction
net realized P&L per entry conviction
HIGH
+$3.2K
102
MED
+$33.5K
107
LOW
-$1.3K
8
-$1.5K
12
Avg max favorable
+33%
144 fwd-captured
Avg max adverse
-47%
worst drawdown pre-close
Capture fraction
57%
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 · 73 of 202

last 30d P&L -$20.8K · 49% win rate · page 3/3 (active signals, proxy-normalized)
TradeSignalOpenedClosedHoldP&L%Why
CALL
OKLO $71
exp Jul 2
CREDIT_SPREADJun 2Jun 31d+$49+70%BTC target (50% of max profit)
CALL
AXTI $114
exp Jun 12
CC_INCOMEJun 1Jun 21d-$530-51%premium hit 1.5x entry (50% lo
CALL
LLY $1145
exp Jun 26
CREDIT_SPREADJun 1Jun 21d+$157+64%BTC target (50% of max profit)
CALL
COIN $195
exp Jun 26
CREDIT_SPREADJun 1Jun 21d+$107+54%BTC target (50% of max profit)
CALL
AAOI $207.5
exp Jun 5
CC_INCOMEJun 2Jun 20d-$80-4%DTE ≤ 7 — force exit (theta cr
CALL
AAOI $210
exp Jun 5
CC_INCOMEJun 2Jun 20d+$70+3%DTE ≤ 7 — force exit (theta cr
CALL
AEHR $88
exp Jul 2
CREDIT_SPREADJun 2Jun 20d+$30+60%BTC target (50% of max profit)
CALL
ANET $162.5
exp Jun 26
CREDIT_SPREADJun 1Jun 21d+$100+73%BTC target (50% of max profit)
CALL
ASTS $99
exp Jul 2
CREDIT_SPREADJun 2Jun 20d-$50-125%stop: loss reached credit coll
CALL
NOW $114
exp Jul 2
TRIPLE_CONFIRM_LONGMay 29Jun 13d+$870+56%target +50% hit
CALL
AXTI $108
exp Jun 12
CC_INCOMEJun 1Jun 10d-$460-55%premium hit 1.5x entry (50% lo
CALL
AXTI $109
exp Jun 12
CC_INCOMEJun 1Jun 10d-$450-56%premium hit 1.5x entry (50% lo
CALL
AAOI $165
exp Jun 26
CC_INCOMEMay 29Jun 13d-$3.3K-70%premium hit 1.5x entry (50% lo
CALL
AAOI $165
exp Jun 12
CC_INCOMEMay 29Jun 13d-$3.9K-152%premium hit 1.5x entry (50% lo
CALL
AXTI $112
exp Jun 12
CC_INCOMEMay 29Jun 13d-$525-57%premium hit 1.5x entry (50% lo
CALL
AXTI $113
exp Jun 12
CC_INCOMEMay 29Jun 13d-$530-60%premium hit 1.5x entry (50% lo
CALL
AAOI $180
exp Jun 12
CC_INCOMEJun 1Jun 10d-$2.3K-92%premium hit 1.5x entry (50% lo
CALL
AAOI $182.5
exp Jun 12
CC_INCOMEJun 1Jun 10d-$2.1K-90%premium hit 1.5x entry (50% lo
CALL
GEV $1020
exp Jun 26
CREDIT_SPREADJun 1Jun 10d+$140+70%BTC target (50% of max profit)
CALL
AAOI $165
exp Jun 5
CC_INCOMEMay 29May 290d+$120+5%DTE ≤ 7 — force exit (theta cr
CALL
AXTI $112
exp Jun 5
CC_INCOMEMay 29May 290d+$35+4%DTE ≤ 7 — force exit (theta cr
CALL
AXTI $113
exp Jun 5
CC_INCOMEMay 29May 290d+$10+1%DTE ≤ 7 — force exit (theta cr
PUT
CEG $262.5
exp May 29
MANUALMay 20May 200d+$268+62%BTC target (50% profit) hit
Showing 5173 of 73
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Fill quality · backtest vs actual

How far do actual fills drift from the model?

350 closes analysed
refreshed 4h 29m ago
SignalTradesTarget %Median slipp90 slipMedian holdVerdict
GEX_FLIP10957%573 bps2972 bps7dWIDE
CC_INCOME3818%1529 bps7531 bps1dWIDE
CREDIT_SPREAD3244%4800 bps11155 bps2dWIDE
CSP_INCOME1828%1731 bps3426 bps3dWIDE
UW_FLOW1242%597 bps2489 bps4.5dWIDE
UW_PUT_FLOW1267%1001 bps3241 bps4dWIDE
MANUAL333%1161 bps1161 bps4dWIDE
TRIPLE_CONFIRM_LONG250%377 bps566 bps3.5dOK

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
144 closes · med 822.1bp · WIDE
stop hit
164 closes · med 737.5bp · WIDE
dte force
39 closes · med bp · TIGHT
other
3 closes · med bp · TIGHT

Signal performance · last 30d

202 closes · only signals with 30d activity shown (inactive ones suppressed)
SignalTradesWin rateAvg P&LTotal P&LOpen
GEX_FLIP8960%+$299+$26.6K4
UW_FLOW863%+$2.8K+$22.6K2
TRIPLE_CONFIRM_LONG250%+$321+$6430
MANUAL1100%+$268+$2680
GEX_FLIP_DOWN450%+$53+$2132
UW_PUT_FLOW1267%-$10-$1211
CREDIT_SPREAD3253%-$18-$5775
CSP_INCOME1839%-$111-$2.0K7
IV_RANK1118%-$908-$10.0K0
CC_INCOME3845%-$555-$21.1K2

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