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Failed Silence Fade · weekly control-relative t+5 marks · Model diagnostics

DEAD · 2026-05-25 → 2026-07-06 · 329 trades

One observation is one source/model trade; 329 trades are aggregated into 7 weekly cohorts. Metrics use 52 weekly observations/year. Structural horizon: the last eligible weekly entry is 2026-07-06 and its full five-session exit is 2026-07-13. The next weekly construction cannot complete its full hold by 2026-07-17; the hub span is the Monday label of the entry week. Returns and observation rankings include the model's existing execution costs.

Total return-2.0%Span-true compounded return · not annualized
Annualized CAGRSuppressed because the observed span is under 180 calendar days
QuantStats Sharpe (i.i.d.)-1.03Annualized at 52 weekly periods/year
QuantStats Sortino-1.38Same 52-period annualization
Entry-cohort t-stat-0.41Weekly-cohort bootstrap · 10,000 draws · 7 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
MNTS2026-06-08+41.99%
KORU2026-06-22+29.85%
VECO2026-06-29+26.42%
VSH2026-06-29+25.22%
BKSY2026-06-22+24.01%
SLS2026-06-08+23.13%
ASPI2026-07-06+21.10%
CRCL2026-06-01+20.90%
SERV2026-06-22+20.79%
XNDU2026-06-01+20.18%

Top 10 worst

TickerEntry dateReturn
TGTX2026-07-06-37.31%
FSLY2026-05-26-29.57%
FRMI2026-06-08-27.58%
RBRK2026-06-22-27.54%
APGE2026-07-06-26.48%
TWLO2026-05-26-25.21%
TNGX2026-07-06-23.41%
IRDM2026-06-22-23.27%
PURR2026-07-06-22.80%
VSAT2026-06-22-22.36%

Exposure profile

MeasureMeanMedianPeak
Weekly gross $$470,000$400,000$790,000
Concurrent position count47.04079
Single-name share3.7% · ADSK · 2026-06-29

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 (7 marks)
DateGross $PositionsTop nameTop-name share
2026-05-25$300,00030ALB3.3%
2026-06-01$760,00076ABBV1.3%
2026-06-08$400,00040AAL2.5%
2026-06-15$790,00079ABVX1.3%
2026-06-22$420,00042AKAM2.4%
2026-06-29$270,00027ADSK3.7%
2026-07-06$350,00035AAOX2.9%

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 weeks5-0.8%-0.13%60.0%-0.42+1.25%
SPY-down weeks2-1.2%-0.62%0.0%-6.53-2.44%

Failed Silence Fade · weekly control-relative t+5 marks (Compounded)
25 May, 2026 - 6 Jul, 2026 (matched dates)

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


2026-07-19T13:00:47.514852 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.585042 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.653886 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.727975 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.804050 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.866462 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.921545 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:47.988858 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:48.056276 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:48.115931 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:48.175447 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:48.235907 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:48.306800 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/
2026-07-19T13:00:48.379842 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/