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Weekly Results

Weekly Results — Sells PAPER TRADING

20 positions closed · week of June 29, 2026
FRIDAY, 03 JULY 2026 · SECT Capital Quant Desk
By Sect Quantitative Research · SECT Capital
Redacted — proprietary method withheld. The space is kept so you can see where detail exists.

Weekly results

Avg return
+2.86%
Net P&L
$4,464.88
Win rate
90%
Positions
20

The book closed the week up +2.86%. I will take it, but a green week is not a verdict on the process — one week is noise, and I read it as such. 90% of the 20 names worked; I care more about whether the winners were big enough to pay for the losers than about the hit rate alone. Either way, the realised dispersion feeds straight back into next week’s priors.

TickerBuySellReturnP&L $PredictedDaysExit reason
FA17.8420.53+15.08%+1179.05+1.17%4Friday scheduled sell
NP29.8633.22+11.25%+879.88+1.05%4Friday scheduled sell
OKTA127.99141.42+10.49%+820.49+0.93%4Friday scheduled sell
WLY47.8152.76+10.35%+809.58+1.07%4Friday scheduled sell
SPHR157.56166.50+5.67%+438.59+1.03%2Friday scheduled sell
WELL227.29236.06+3.86%+301.71+1.05%4Friday scheduled sell
CINF176.73180.29+2.01%+155.71+1.52%2Friday scheduled sell
FHB29.4729.97+1.68%+131.75+1.03%4Friday scheduled sell
ELVN49.0349.84+1.64%+127.07+0.82%2Friday scheduled sell
RLAY18.0618.34+1.58%+121.98+0.64%2Friday scheduled sell
CCEP99.17100.41+1.26%+97.05+1.44%2Friday scheduled sell
ESTA88.7089.54+0.95%+73.20+1.05%2Friday scheduled sell
DLTR123.19124.05+0.70%+54.40+1.00%4Friday scheduled sell
JPM331.96333.36+0.42%+32.48+0.69%2Friday scheduled sell
BLLN120.00120.35+0.29%+22.81+1.25%4Friday scheduled sell
PTGX121.39121.65+0.21%+16.56+0.07%2Friday scheduled sell
HR20.3820.41+0.15%+11.38-0.37%2Friday scheduled sell
NUVL123.54123.56+0.02%+1.56+1.05%2Friday scheduled sell
BEAM35.6233.77-5.18%-404.05+1.07%stop-loss -5.2% <= -5.0% (fixed)
OSCR29.8528.29-5.22%-406.32+1.27%stop-loss -5.2% <= -5.0% (fixed)

Predicted is the expectation I carried in before the trade; the calibration behind it is mine and stays proprietary.

A standing note on method. I run this book in paper-trading mode, so every fill you see is simulated rather than a realised, audited track record — I would rather state that plainly than flatter the numbers. Nothing here is investment advice, an offer, or a solicitation; it is my own research, published so it can be read and argued with in the open. The blacked-out passages mark the parts of the process I keep proprietary. And because the framework recalibrates every week, where my read was wrong I expect the priors — not my ego — to be the first to say so.