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Failed Radar Event Long Straddles · weekly marks, premium-normalized · Model diagnostics

DEAD · 2024-09-23 → 2026-06-22 · 4,334 trades

One observation is one source/model trade; 4,334 trades are aggregated into 92 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 2026-06-25 and its full 10-session exit is 2026-07-10. 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-87.2%Span-true compounded return · not annualized
Annualized CAGR-68.8%Annualized at 52 periods/year · span is 637 calendar days
QuantStats Sharpe (i.i.d.)-17.86Annualized at 52 weekly periods/year
QuantStats Sortino-6.70Same 52-period annualization
Entry-cohort t-stat-23.85Weekly-cohort bootstrap · 10,000 draws · 92 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
CRML2025-10-01+383.33%
OPEN2025-08-27+277.51%
SNDK2025-09-09+238.79%
UNH2025-08-04+205.84%
HIMS2026-02-25+175.98%
TSLA2024-10-28+160.36%
MXL2026-04-28+157.78%
SLV2025-12-11+148.81%
OPEN2025-08-07+142.65%
QBTS2025-05-12+138.33%

Top 10 worst

TickerEntry dateReturn
SILJ2026-01-30-73.59%
SATS2025-09-02-73.32%
WU2025-10-30-73.08%
FOUR2025-10-31-73.02%
FN2025-01-31-72.93%
XOVR2026-06-01-72.73%
VG2025-08-08-72.31%
QXO2025-01-29-72.00%
FSLY2024-11-05-71.43%
WU2025-10-31-70.83%

Exposure profile

MeasureMeanMedianPeak
Weekly gross $$471,087$445,000$1,410,000
Concurrent position count47.144141
Single-name share50.0% · ACLS · 2024-12-23

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 (92 marks)
DateGross $PositionsTop nameTop-name share
2024-09-23$280,00028ACN3.6%
2024-09-30$550,00055A1.8%
2024-10-07$400,00040ACMR2.5%
2024-10-14$410,00041ACHR2.4%
2024-10-21$250,00025CNC4.0%
2024-10-28$840,00084ACN1.2%
2024-11-04$480,00048AEM2.1%
2024-11-11$560,00056AAOI1.8%
2024-11-18$200,00020AI5.0%
2024-11-25$260,00026A3.8%
2024-12-02$310,00031AAOI3.2%
2024-12-09$540,00054AAOI1.9%
2024-12-16$280,00028ADBE3.6%
2024-12-23$20,0002ACLS50.0%
2024-12-30$150,00015ALK6.7%
2025-01-06$200,00020ALK5.0%
2025-01-13$330,00033ADTN3.0%
2025-01-20$120,00012AAL8.3%
2025-01-27$480,00048AKAM2.1%
2025-02-03$450,00045AMDL2.2%
2025-02-10$560,00056ACLS1.8%
2025-02-17$320,00032ABNB3.1%
2025-02-24$200,00020A5.0%
2025-03-03$400,00040AAOI2.5%
2025-03-10$280,00028ADBE3.6%
2025-03-17$250,00025AEM4.0%
2025-03-24$80,0008BAM12.5%
2025-03-31$140,00014APP7.1%
2025-04-07$330,00033AEM3.0%
2025-04-14$170,00017APA5.9%
2025-04-21$200,00020AG5.0%
2025-04-28$350,00035ACMR2.9%
2025-05-05$350,00035ABNB2.9%
2025-05-12$320,00032AEVA3.1%
2025-05-19$370,00037AAP2.7%
2025-05-26$400,00040AAP2.5%
2025-06-02$390,00039AEO2.6%
2025-06-09$450,00045AEVA2.2%
2025-06-16$270,00027ADBE3.7%
2025-06-23$220,00022ARKK4.5%
2025-06-30$500,00050AEVA2.0%
2025-07-07$380,00038AAOI2.6%
2025-07-14$310,00031ABT3.2%
2025-07-21$650,00065AAL1.5%
2025-07-28$670,00067AAOI1.5%
2025-08-04$890,00089AAOI1.1%
2025-08-11$620,00062ACHR1.6%
2025-08-18$340,00034ADI2.9%
2025-08-25$520,00052AAON1.9%
2025-09-01$620,00062ADSK1.6%
2025-09-08$770,00077ADBE1.3%
2025-09-15$560,00056ADBE1.8%
2025-09-22$650,00065ACN1.5%
2025-09-29$850,00085ABCL1.2%
2025-10-06$880,00088ABCL1.1%
2025-10-13$530,00053ALAB1.9%
2025-10-20$540,00054AA1.9%
2025-10-27$670,00067ADP1.5%
2025-11-03$700,00070A1.4%
2025-11-10$460,00046ABNB2.2%
2025-11-17$300,00030AGX3.3%
2025-11-24$190,00019AR5.3%
2025-12-01$340,00034AA2.9%
2025-12-08$450,00045AAOI2.2%
2025-12-15$260,00026CARR3.8%
2025-12-22$80,0008CL12.5%
2025-12-29$160,00016ABVX6.2%
2026-01-05$580,00058ABVX1.7%
2026-01-12$490,00049ABVX2.0%
2026-01-19$280,00028ABT3.6%
2026-01-26$630,00063APH1.6%
2026-02-02$760,00076APH1.3%
2026-02-09$610,00061AGX1.6%
2026-02-16$480,00048AAP2.1%
2026-02-23$510,00051ADP2.0%
2026-03-02$650,00065AAOI1.5%
2026-03-09$720,00072ALK1.4%
2026-03-16$440,00044ADBE2.3%
2026-03-23$290,00029AG3.4%
2026-03-30$250,00025AGX4.0%
2026-04-06$410,00041ACMR2.4%
2026-04-13$610,00061AEHR1.6%
2026-04-20$530,00053AAP1.9%
2026-04-27$910,00091AMSC1.1%
2026-05-04$1,410,000141A0.7%
2026-05-11$1,210,000121AAOI0.8%
2026-05-18$590,00059ACN1.7%
2026-05-25$1,180,000118A0.8%
2026-06-01$1,340,000134A0.7%
2026-06-08$730,00073AAOI1.4%
2026-06-15$480,00048ADBE2.1%
2026-06-22$200,00020AGX5.0%

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 weeks51-67.7%-2.19%0.0%-19.60+1.72%
SPY-down weeks41-60.5%-2.23%4.9%-16.12-1.48%

Failed Radar Event Long Straddles · weekly marks, premium-normalized (Compounded)
23 Sep, 2024 - 22 Jun, 2026 (matched dates)

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


2026-07-19T13:00:46.250583 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.337670 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.416077 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.487080 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.562641 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.623769 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.685631 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.839218 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.902153 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:46.953088 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.019254 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.088525 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.185465 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.305518 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/