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GS-VRV Weekly Short-Rich-Vol · weekly marks, premium-normalized · Model diagnostics

CANDIDATE · 2024-08-05 → 2026-06-08 · 968 trades

One observation is one source/model trade; 968 trades are aggregated into 81 weekly cohorts. Metrics use 52 weekly observations/year. Premium-normalized books assume a 10%-of-capital weekly premium budget; per-trade premium returns are shown unscaled in Avg obs. Structural horizon: the last qualifying locally priceable entry is 2026-06-08 and its full 21-session exit is 2026-07-09. Local EOD chain parquet ends 2026-07-10, and later formations either fail the frozen two-sided quote/spread/contract quality rules or require unavailable later exits. All qualifying local holds completing by 2026-07-10 are included; no network data was used. Returns and observation rankings include the model's existing execution costs.

Total return+3,502.1%Span-true compounded return · not annualized
Annualized CAGR898.3%Annualized at 52 periods/year · span is 672 calendar days
QuantStats Sharpe (i.i.d.)15.29Annualized at 52 weekly periods/year
QuantStats Sortino112.22Same 52-period annualization
Entry-cohort t-stat19.16Weekly-cohort bootstrap · 10,000 draws · 81 weekly cohorts

Sortino convention: QuantStats Sortino is mean return divided by downside deviation, multiplied by √(periods/year). This differs from plain-downside conventions.

Inference note: overlapping holding periods can make an i.i.d. Sharpe optimistic. The t-stat bootstraps weekly cohorts and preserves every cohort's full marked path.

Best and worst trades

Observation return follows the verified construction; a paired trade is the sum of its equal-notional short and synthetic-control legs.

Top 10 best

TickerEntry dateReturn
DJT2024-11-04+90.19%
WDAY2024-11-25+89.77%
SNAP2025-01-21+86.47%
NKE2026-06-08+85.21%
IBIT2026-06-08+84.76%
PATH2024-08-26+84.43%
GOOG2024-10-28+84.21%
HON2025-01-21+84.01%
DG2024-11-25+84.00%
ADBE2025-12-08+83.84%

Top 10 worst

TickerEntry dateReturn
SNAP2026-01-05-135.04%
PINS2026-01-12-129.69%
GOOGL2025-10-27-121.60%
MSOS2024-10-14-116.82%
SHOP2024-10-14-110.22%
KSS2025-10-27-109.33%
TJX2025-07-21-109.06%
VTI2026-03-30-107.92%
MSFT2026-03-30-106.55%
LCID2025-10-20-103.81%

Exposure profile

MeasureMeanMedianPeak
Weekly gross $$119,506$60,000$570,000
Concurrent position count12.0657
Single-name share100.0% · PATH · 2024-08-26

Position count is the number of model trades at each weekly mark; one matched-control basket counts as one paired position. Single-name share aggregates repeated ticker exposure before dividing by weekly gross.

Weekly exposure (81 marks)
DateGross $PositionsTop nameTop-name share
2024-08-05$50,0005DIS20.0%
2024-08-26$10,0001PATH100.0%
2024-09-02$30,0003DJT33.3%
2024-09-09$30,0003DJT33.3%
2024-09-16$20,0002DJT50.0%
2024-09-23$30,0003AMC33.3%
2024-09-30$150,00015AMC6.7%
2024-10-07$260,00026ABT3.8%
2024-10-14$300,00030AAP3.3%
2024-10-21$210,00021AMC4.8%
2024-10-28$550,00055ABBV1.8%
2024-11-04$180,00018ABNB5.6%
2024-11-11$80,0008AMC12.5%
2024-11-18$90,0009ADBE11.1%
2024-11-25$40,0004DG25.0%
2024-12-02$40,0004AXSM25.0%
2024-12-30$20,0002FICO50.0%
2025-01-13$60,0006AMC16.7%
2025-01-20$60,0006AKAM16.7%
2025-01-27$80,0008AMC12.5%
2025-02-03$210,00021AMC4.8%
2025-02-10$50,0005AMC20.0%
2025-02-17$20,0002KR50.0%
2025-02-24$50,0005DG20.0%
2025-03-03$140,00014AMC7.1%
2025-03-10$20,0002DG50.0%
2025-03-31$30,0003HON33.3%
2025-04-07$120,00012ALB8.3%
2025-04-28$10,0001DOCS100.0%
2025-05-26$10,0001AI100.0%
2025-06-02$30,0003AGX33.3%
2025-06-09$10,0001GE100.0%
2025-06-16$10,0001LEN100.0%
2025-06-23$20,0002FDX50.0%
2025-06-30$40,0004GE25.0%
2025-07-07$200,00020BMY5.0%
2025-07-14$330,00033AXP3.0%
2025-07-21$380,00038AMZN2.6%
2025-07-28$570,00057ACLS1.8%
2025-08-04$260,00026AA3.8%
2025-08-11$110,00011ADBE9.1%
2025-08-18$160,00016ADBE6.2%
2025-08-25$120,00012ADBE8.3%
2025-09-01$130,00013ADBE7.7%
2025-09-08$60,0006ACN16.7%
2025-09-15$50,0005ACN20.0%
2025-09-22$240,00024ACN4.2%
2025-09-29$440,00044AKAM2.3%
2025-10-06$450,00045AAL2.2%
2025-10-13$470,00047ABNB2.1%
2025-10-20$480,00048AAP2.1%
2025-10-27$160,00016AMC6.2%
2025-11-03$160,00016AFRM6.2%
2025-11-10$10,0001TGT100.0%
2025-11-17$50,0005ADBE20.0%
2025-11-24$20,0002COST50.0%
2025-12-01$70,0007ABVX14.3%
2025-12-08$20,0002ADBE50.0%
2025-12-15$10,0001NKE100.0%
2025-12-29$20,0002LCID50.0%
2026-01-05$50,0005GM20.0%
2026-01-12$120,00012AAPL8.3%
2026-01-19$100,00010AAPL10.0%
2026-01-26$100,00010AAP10.0%
2026-02-02$410,00041AAP2.4%
2026-02-09$90,0009CELH11.1%
2026-02-16$50,0005CELH20.0%
2026-02-23$50,0005DJT20.0%
2026-03-02$70,0007DLO14.3%
2026-03-09$30,0003PDD33.3%
2026-03-16$40,0004JNJ25.0%
2026-03-23$20,0002JNJ50.0%
2026-03-30$50,0005CYTK20.0%
2026-04-06$30,0003FISV33.3%
2026-04-13$30,0003ABVX33.3%
2026-04-20$60,0006DIS16.7%
2026-04-27$220,00022AMKR4.5%
2026-05-04$90,0009AEO11.1%
2026-05-11$10,0001PATH100.0%
2026-05-18$10,0001PATH100.0%
2026-06-08$20,0002IBIT50.0%

SPY weekly regime split

SPY direction is local, read-only daily_ohlc close-to-close by Friday week. The final partial week uses its last available close.

RegimeWeeksModel totalAvg model weekHit rateAnn. SharpeAvg SPY week
SPY-up weeks56+717.9%+3.86%82.1%10.36+1.75%
SPY-down weeks41+340.4%+3.71%80.5%10.79-1.52%

GS-VRV Weekly Short-Rich-Vol · weekly marks, premium-normalized (Compounded)
5 Aug, 2024 - 8 Jun, 2026 (matched dates)

Benchmark: SPY • Periods/Year: 52 • RF: 0.0% | Generated by QuantStats (v. 0.0.81)


2026-07-19T13:00:42.146457 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.219697 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.293306 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.367982 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.454016 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.524813 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.587447 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.656206 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.723846 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.774005 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.831518 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.894120 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:42.984622 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:43.094937 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/