Premises: 1. A forecast needs the return window that actually contains the announcement. 2. Event-gap history is a distribution estimate, not an option return backtest. 3. A two-event holdout cannot establish tail calibration. Eighteen individual issuer notices, dated March2022–May2026, confirm nine after-close releases through March20 2024 and nine before-open releases thereafter. Map after-close announcements to next-session open versus announcement-day close; before-open to same-session open versus prior close. All 18 exact dates, original notice URLs, publication dates, aligned prices and log returns saved in observations7151–7168. Primary notice establishes intended phase; historical first-news ticks and any early preannouncements were not independently reconstructed. Adjusted IEX daily bars https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CHWY&timeframe=1Day&start=2022-01-01&end=2026-09-05&adjustment=all&feed=iex :1172 bars. Sixteen events2022–25 train; March25/June10 2026 held out before calculation, no 2026 refit. J=ln(event open/preclose). Train RMS10.3956%, mean absolute9.2054%, median absolute9.0425%, close-to-close RMS13.0700%. IID event bootstrap10000 seed2026090608 RMS95% interval[8.0483,12.4958]%; conditional on this small changing-regime sample, not a predictive interval. Deliberately wrong all-before-open mapping gives RMS6.1948%, understating variance-window exposure. Held-out gaps+10.1067% and-0.0490% log; RMS7.1466%, meanabsolute5.0779%, N2. Insufficient to validate event tails or distinguish competing forecasts; no p-value or trading edge claimed. Current before-open phase is verified by issuerAug19 https://investor.chewy.com/news-and-events/news/news-details/2026/Chewy-Announces-Fiscal-Second-Quarter-Financial-Results-Conference-Call/default.aspx . Prior was event optimism unsupported; correct timing raises measured historical variance but does not make current asks cheap. Evidence that would move the decision: prospective independent event/option bid-ask returns with uncertainty excluding zero after costs, plus execution entitlement. Counterexample to transportability: changing margins, financing or preannouncements change surprise variance; opening IEX prices can differ from consolidated auction. Valid timing logic; empirical adequacy for a paid tail bet remains unproven.
train_events16
holdout_events2
train_RMS_gap_pct10.4
wrong_mapping_RMS_pct6.19
train_mean_abs_log_pct9.21
train_median_abs_log_pct9.04
bootstrap_low_pct8.05
bootstrap_high_pct12.5
holdout_RMS_pct7.15
actual_option_backtest_N0
allocation0
July delay index worsened; September notice cannot identify later storm effects
Premises: 1. Sea-Intelligence Sep2 original summary covers JULY2026, reliability56.4% down6.1pp, mean delay CONDITIONAL on late arrival6.06days up.59. 2. Derive June62.5% and5.47days from same-release differences; late share times mean delay yields diagnostic2.05125->2.64216 (+28.81%). This index is not unconditional lateness: on-time tolerance/early arrivals and vessel weights unknown. 3. Maersk Sep4 cites this same statistic in weather notice: one origin, not independent confirmation, and July cannot quantify later storms. Hapag Sep3 selected-port delay ceilings are different population/period, not contradictions. Collector index labels June62.6%, .1pp different from inferred62.5; preserve possible rounding/revision unresolved, not silently merge vintages. Raw AIS, counts, paired arrivals and spreadsheet unavailable; no defensible regression, confidence interval or causal storm coefficient from these aggregates. Prior was physical disruptions likely material; corroborated current carrier restrictions strengthen mechanism, not stock-win probability. New accepted invoices/independent throughput would strengthen cash hypothesis; normalizing delivery metrics would weaken it. Sources https://sea-intelligence.com/press-room/406-sharp-reliability-drop-from-asian-port-congestion ; https://sea-intelligence.com/press-room ; https://www.maersk.com/news/articles/2026/09/04/east-asia-typhoon-season-impacting-logistics ; https://www.hapag-lloyd.com/en/services-information/operational-updates/updates/2026/09/ops-update-middle-east-week36.html .
July_reliability_pct56.4
July_mean_late_days6.06
implied_June_reliability_pct62.5
June_delay_index2.05
July_delay_index2.64
index_change_pct28.81
raw_vessel_sample0
proposed_usd0
Execution economics: a nominal 1.5R target does not deliver 1.5R after costs
Recomputed all3Catalyst trades with numpy from query_trades,Sep2–4 execution record. Equal-trade mean-16.3806%,wins0/3,totalPNL-31.937258 matches venue-31.94 rounding. Two operator exits censor intended strategy outcomes; one RARE stop exit-45.8601% realized-6.44035R. No winners means averagewin unavailable; do not fabricate W or infer a precise future p=0 from3selectedtrades. Live record therefore cannot calibrate positive Kelly. Saved independent CHWY event holdout analysis38 (recovered via analyses64/172) N6,p=.5,W4.523%,L4.829%,netreturn-1.719988%; clipped quarterKelly max(0,(p-(1-p)/(W/L))/4)=0. Its ten-session rule is not a validated Sep8 one-session substitute. RARE historical-loss stress on49.14cash=22.5356USD exceeds8.5099account risk cap; no claim this observed loss bounds futuregaps. Premises: failed/unknownedge+unvalidatedwindow imply no size; counterexample a future rally would not refute missing ex-ante edge. Source execution ledger query_trades fund=catalyst; historicalbars https://runway.adityaperswal.workers.dev/data/stock-bars ; dates https://investor.chewy.com/news-and-events/news/news-details/2026/Chewy-Announces-Fiscal-Second-Quarter-Financial-Results-Conference-Call/default.aspx . No new backtest or MonteCarlo claimed; resampling3censoredtrades would not create evidence.
sample3
win_rate0
avg_loss16.38
realized_pnl-31.94
rare_R-6.44
gap_stress_usd22.54
risk_cap_usd8.51
chwy_holdout_sample6
chwy_quarter_kelly0
proposed_notional0
Cross-sector sample dependence and regime instability prevent an independent edge claim
Data: fixed six-sector panel, adjusted IEX daily bars. Historical training2020–23 with usable strategy trades startingFeb2021; chronological holdout2024–Sep4 2026. Six daily return series have mean pair correlation.570715 training and.398842 holdout; correlation-eigenvalue participation ratio2.15466 and2.87526, descriptive dimensions NOT effective independent trade counts. Baseline647training/598holdout trades cluster in132/126occupied entryweeks. Bootstrap resamples whole entry-week sums/counts jointly across symbols; robustness uses1/2/4/8-calendar-week circular blocks including empty weeks,20,000 draws. Governing four-week mean intervals:baseline[−.21028,.28597]%,trend[−.47654,−.02183]%,trendlowvol[−.57805,−.02514]%. Thus many trades do not resolve positive payoff. Regression baseline trade return on intercept,trend,lowvol,interaction uses week-cluster sandwich SE. Holdout coefficients in percentage points .86763,−1.16261,−.96635,+1.02668; t2.804,−3.358,−2.383,+2.346. Training corresponding t.662,−.408,−.921,−.281. These retrospective contrasts are unstable, not a license to invert the rule. Strong counterexample:downtrend/highvol holdout mean+.86763% over150 trades with one-week CI[.26937,1.47896]; training+.23312% over164 withCI[−.438,.942]. No untouched evidence remains for selecting this cell; record it as discovery, do not trade it. Week clusters may share multiweek shocks; block results and lack of incident labels limit inference. Source https://runway.adityaperswal.workers.dev/data/stock-bars . Every matrix,coefficient,SE,cell andbootstrap result recorded.
train_pair_correlation0.57
holdout_pair_correlation0.4
train_effective_dimension2.15
holdout_effective_dimension2.88
holdout_trades598
occupied_entry_weeks126
four_week_CI_low_pct-0.21
four_week_CI_high_pct0.29
regression_interaction_pp1.03
interaction_cluster_t2.35
bootstrap_paths20000
proposed_usd0
Own trade calibration: three operator exits cannot estimate overnight strategy probabilities
Premises: 1. query_trades for quant contains three closed PEAD positions, all exited by operator liquidation, and no positions awaiting a lesson. 2. Returns computed from actual entry/exit prices are SNOW -5.39236%, DELL +7.93994%, GTLB -5.13050%; their dollar P&Ls sum to approximately -$1.04605. Win rate is 1/3, average winning return 7.93994%, average losing magnitude 5.26143%. Holdings lasted 0.87414, 1.80126 and 1.96827 days, far shorter than the original 4–6 week theses. 3. No reference quotes or order-submission benchmarks are supplied, so fill slippage cannot be estimated; none is a natural stop or target exit. Conclusion: these observations describe realized book experience but do not calibrate the overnight strategy, natural exit odds, or a reliable Kelly allocation. No additional trade-linked lessons required; run-level technical/execution/psyche lessons recorded. Source: query_trades fund=quant, retrieved September 6 2026, observation5796.
sample3
win rate33.33
average win7.94
average loss5.26
realized pnl-1.05
operator exits3
natural stop exits0
natural target exits0
overnight sample0
Overnight signal identification: weak price predictors and turnover overwhelm the ETF premium
FixedT10 holdoutN6 mean-10.97667%;50000iid event bootstrap seed60606 95%meanCI[-23.21708,2.91121]%;onewinner Wilson95%winCI[3.00534,56.35028]%. Unknown serial/regime dependence and small sample mean CI is conditional,not precise forecast. Training-minus-holdout mean difference bootstrap seed60607 CI[-.72947,26.15507]points: descriptive deterioration does not prove a statistically identified break. Mean netHAIN minus grossSPY samewindow-12.39050points,minusgrossXLP-11.19342; controls cost-free intentionally favorcontrol and are not a hedgedportfolio. 420dailyreturns2025–Sep4 2026: OLS intercept-.4030566%/day,betaSPY.7719663,betaXLP.9985779,R2.05130145; correlationsHAIN/SPY.1668041,HAIN/XLP.1814433. No robustSE,causalalpha,or stationarity assumed. Single surviving issuer selected by existingdatedwatch,not representative marketcohort; repeatedfundresearch creates selection risk across names. Need prospective independent post-restructuring sample,not more bootstraps of same6. Source https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=HAIN,SPY,XLP&timeframe=1Day&feed=iex&adjustment=all ; issuer-date sources in22observations.
sample6
mean_pct-10.98
ci_low-23.22
ci_high2.91
excess_spy_pct-12.39
excess_xlp_pct-11.19
ols_sample420
daily_intercept_pct-0.4
beta_spy0.77
beta_xlp1
r_squared0.05
bootstrap_samples50000
Frozen volatility regression fails to improve reliably across six markets
Premises: 1. A more flexible forecast must outperform a fixed baseline out of sample. 2. Overlapping outcomes cannot count as independent evidence. 3. Physical variance forecasts alone are not risk-neutral option values. Fixed six ETFs, adjusted IEX daily close bars Jan3 2022–Sep4 2026,1173each. Let r=log(Ct/Ct-1),v=r². Baseline f=(mean21(v)+mean63(v)+EWMA.94(v))/3. Competitor is our HAR-like OLS log(mean(v[t+1:t+5])) on [1,log(vt),log(mean5(v)),log(mean22(v))],floor1e-10; daily squared returns are not intraday realized variance. Fit976 rows beforeDec24 2025; target ends before2026, explicit purge. Arithmetic forecast exp(Xbeta)*mean(exp(trainingresidual)), coefficients and smearing recorded per symbol. Freeze coefficients for2026; select every fifth eligible date,33 nonoverlapping outcomes each. Loss QLIKE=y/f-log(y/f)-1; compare paired differences HAR minus blend. 5000 circular block bootstraps, block4 outcomes, seed2026090606; all six95% intervals include0. Deltas GLD+.185717,IWM+.005959,TLT+.004236,XLE-.016413,XLF+.025697,EEM+.031996. Thus no demonstrated general improvement; do not adopt HAR based on it making certain calls look cheap. Counterexample: XLE mean improves and GLD/EEM logMSE improves; losses rank models differently. These findings prevent claiming universal dominance of the blend. Universe chosen for economic diversity, not random market sampling; high/low regimes uneven, daily IEX noise and common market shocks limit precision; six markets are not198 independent trials. Prior qualitative expectation of fragile cheap-tail values retained, no invented posterior probability. Evidence that changes stance: prospective frozen forecast gains with uncertainty excluding0 on eligible contracts plus actual option bid/ask holdout. Source https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=XLF,XLE,GLD,EEM,IWM,TLT&timeframe=1Day&start=2022-01-01&end=2026-09-05&adjustment=all&feed=iex .
symbols6
bars_each1173
train_rows_each976
holdout_windows_each33
bootstrap_replicates5000
bootstrap_block_windows4
HAR_mean_improvements1
significant_improvements0
XLF_blend_qlike0.32
XLF_HAR_qlike0.35
XLF_delta_ci_low-0.03
XLF_delta_ci_high0.09
Catalyst realized edge audit: three losses, two operator exits, one gap-through stop
Read query_trades fund=catalyst Sep6. Three closed trades, wins0; returns MIRM-.439321%,IONS-2.842420%,RARE-45.860062%; arithmetic average loss16.380601%, dollarPnL-31.937258 before unallocated system costs. Two operator liquidations confound intended-horizon outcome; one recordedstop sale. RARE exit13.98976 versusstop24 is41.709333% below trigger, not necessarily order-routing slippage: no contemporaneous executable quote captured. All were fractional market-notional entries; no limit comparator and no reference quote to estimate entry slippage. Winnerpayoff unobserved, quarterKelly sizing0 by mandate. Do not pool these three FDA names as an earnings event sample or infer a stable0% true win probability. Source runway:query_trades?fund=catalyst&status=closed ; venue/context providesaccount850.99,fund49.14,1%risk8.5099. This is execution/outcome evidence, not a causal rule backtest.
sample3
win_pct0
avg_loss_pct16.38
pnl_usd-31.94
operator_exits2
stop_exits1
rare_below_stop_pct41.71
quarter_kelly0
Crypto diversification weakened in the 2026 historical holdout
Premise1 hourly venuebars reconstructed into UTCdaily closes; only24hour days count, nofill; training2024-2025,SOLstartsAug2024; historicalevaluationJan1-Sep5 2026. All3common trainingN484,evaluationN246. Premise2 dailyreturn correlationBTC/ETH increases.78545->.91234; BTC/SOL.76891->.88042; ETH/SOL.76842->.88022. Evaluationannualizedvolsqrt365 BTC46.925%,ETH64.509%,SOL64.059%. WeekenddailySD1.560/2.498/2.685% below weekday2.741/3.679/3.595%; observationdoesnotmeanweekendstops safe,1%tailsstilllarge. Mean dailyreturns-.01126/-.02482/-.02767%. Conclusion threecrypto positions can share one risk driver; never pool three correlated histories as independent support for Kelly. Counterargument common-date training coversshorter SOLhistory and periods differ, so correlationchange is descriptive not causal or guaranteedpersistent. Missing/incomplete days excluded, venuespecificfeedcoverage and priorinspectedholdoutbound inference. Alltrain/evaluationquantiles,counts,means,SDandcorrelations recordedobservations; source https://runway.adityaperswal.workers.dev/data/crypto-bars .
training common days484
holdout common days246
train BTC ETH correlation0.79
holdout BTC ETH correlation0.91
holdout BTC SOL correlation0.88
holdout ETH SOL correlation0.88
BTC daily vol pct2.46
ETH daily vol pct3.38
SOL daily vol pct3.35
BTC 1pct quantile pct-5.92
ETH 1pct quantile pct-8.7
SOL 1pct quantile pct-8.15
Helium event attribution fails robustness to benchmark choice
Preregistered note295:501dailytrainingreturns2023–24,250heldout2025;2factorOLSlogreturnsagainstSPY/XLB,known2026shockdatesdescribedafterfit. HoldoutpredictiveR2LIN.5952/APD.5146,RMSE.7677%/1.2194%daily. Five-sessionresiduallog%onMar2/Mar19/Jul10:LIN+.5278/-1.3739/-2.0582;APD+6.3321/-.3003/-1.1084. This is NOT an executable event backtest: includes announcement-dayclose-to-close,relatedincidents,unknownfirst-publicationminute,andearningsconfoundsin20dayJulywindow. Post-hocrobustnessusingSPYonly(samefitdates/all3events,notretuningforprofit)changesLINto-3.4158/+1.0627/-.8356andAPDto+.1830/+3.4991/+.7979;attributionsdependstronglyonbenchmark. StateStreetSep3XLBweightsLIN12.97%APD4.76%confirmbenchmarkcontainsbothandcannotbeunaffectedcontrol;weightsnotbackcast. Valid conclusion: no stable causal/equity payoff identified;positivephysicalexposuredoesnotestablishtradeedge. 2025overlappingplacebowindowsareadescriptivedistribution,notindependentNorp-values. No win probability inferred. Sources https://runway.adityaperswal.workers.dev/data/stock-bars ; https://www.ssga.com/us/en/individual/etfs/state-street-materials-select-sector-spdr-etf-xlb . Everyeventstatobs5419–5436;scripts/resultsarchived.
training_n501
holdout_n250
LIN_holdout_R20.6
APD_holdout_R20.51
LIN_RMSE_pct0.77
APD_RMSE_pct1.22
known_dates3
independent_trade_sample0
LIN_Mar2_2factor5day0.53
LIN_Mar2_SPYonly5day-3.42
proposed_usd0
Merger ETF excess returns are uncertain and downside beta survives diversification
Premises: 1.Date-aligned adjusted closes, Jan2016–Dec2021 training and Jan2022–Aug2026 later diagnostic. Later1168 close-to-close returns; passive MRGR20.68199%, MNA15.04870%, BIL19.32620%, SPY70.66035%, before investor entry/exit friction but reflecting fund expenses. MRGR CAGR4.13930% versus BIL3.88576%; not a large current premium. 2.Circular21-session blocks,10000 bootstrap samples,seed90606: annualized arithmetic MRGR-minus-BIL mean0.31483%,95%CI[-2.96955,3.59355]; MNA mean-.66184%,CI[-4.12471,2.98204]. These are uncertainty estimates, not distributions of future deal success. 3.Numpy piecewise OLS: excess ETF return on excess SPY and hinge below-1%daily/-4%monthly; Newey-West lag5daily/3monthly. Training monthly MRGR normal beta.0682,tail.2776; MNA.0372/.6376. Later monthly MRGR normal-.0404,tail.2211,alpha t1.20; MNA.0234/.2004,alpha t.13. Only9later tailmonths,55monthlyreturns; earliermonth omitted by firstclose baseline. Daily intercepts also insignificant later. 4.Low unconditional volatility/correlation does not imply no crash exposure or alpha. MRGR sparse prints can bias estimates; ETF wrappers and eras are not independent corroborations. Sources https://runway.adityaperswal.workers.dev/data/stock-bars ; original nonlinear-model motivation https://bpb-us-w2.wpmucdn.com/voices.uchicago.edu/dist/d/2771/files/2020/09/JF_riskarb-1.pdf . Complete8regressions,8passive rows andCIs archived. Conclusion: passive exposure may diversify, but evidence cannot authorize this fund's short swing trades.
sample1168
MRGR passive return20.68
MNA passive return15.05
BIL passive return19.33
MRGR excess annual mean0.31
MRGR CI low-2.97
MRGR CI high3.59
MRGR later tail beta0.22
MNA later tail beta0.2
later tail months9
actual notional0
SRRK placebo returns and sector exposure cannot identify FDA run-up alpha
Adopt data-normalization rule, not a trade. Premises: (1) returns must compare equal share units; (2) option series must follow OCC adjustment terms and dates; (3) both sides need current executable quotes. Collected complete single-page 922 daily IEX bars Jan3 2023–Sep4 2026 independently for adjustment raw/split/all. Raw Nov17 2025 log return -2.310715 versus adjusted -.00812572; full-history annualSD125.707% versus34.338%; raw buyhold-73.465% versus adjusted+165.344%. Split and all closes identical. CurrentRV21 stays38.51876%, equalvarianceblend38.03027% exactly reproduces prior analysis283: correction to the suspicion, split artifacts do NOT explain this recent forecast. OCCNov14memo57651 effectiveNov17 divides old strikes10 and multiplies contractcount10, premiumextension100, deliverable100NFLX shares; NFLXrootunchanged. Old Sep18K1280 calls94.21/99.30 andputs217.67/225.83 retainNov14quotes; their normalizedK128series haveSep4quotes call0/.06 put48.30/50.67. Normalization cannot make oldquotes current. Sep8–25 chain748records,258quotes2025,469within120sofSep4close,21otherolder; adjacentverticalflags9all versus5fresh. Largest$827.20gap mixes pre/postsplitseries. Five remainingflags show timestampfilters are necessary but insufficient: indicativefeedprices are derivatives. Statecash850.99/fund127.65; noholdings. Sources https://infomemo.theocc.com/infomemos?number=57651 ; https://www.sec.gov/Archives/edgar/data/1065280/000106528025000450/nflx-20251114.htm ; https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=NFLX&timeframe=1Day&start=2023-01-01&end=2026-09-05&adjustment=all&feed=iex ; https://runway.adityaperswal.workers.dev/data/option-chain/NFLX?feed=indicative . Counterexamples: newrealjump remainsafteradjustment; fresh syntheticquotescanstillviolateverticals. Valid inference is artifactrejection, notefficiencyproof.
Eight current-survivor names selected after broad discovery; windows chronologically split, but selection sees current winners so not independent economic-alpha confirmation. NumPyseed90602,10000 IID bootstrap resamples per ticker of natural net holdout trade returns (N3–7), 95%percentile intervals all crosszero. AEHR[-22.65,162.84]%, COHU[-6.25,33.82], AXTI[-26.87,3755.10], MP[-9.28,83.34], MU[-7.56,81.92], Maersk[-5.77,11.05], Lynas[-1.98,52.82], Fujikura[-21.51,134.71]. Five of8 fixed training returns negative; tinyN, overlapping market regimes and selection likely understate uncertainty. US420dailyOLS onSPY: betaAEHR3.447,COHU1.986,AXTI2.511,MP1.416,MU2.568; descriptive intercepts not causal supplyalpha. Overseas same-date regression is nonsynchronous and localcurrency, not hedge ratios; discard for sizing. Two live supply wins were forcedoperatorliquidations; no naturalexit or loss distribution, slippage unmeasurable without contemporaneousquote. Prior remains zeroeligibleedge; prospective synchronized evidence with positivecost-adjusted lowerbound would increase tradeeligibility, additionalheadline duplicates would not. Sources https://runway.adityaperswal.workers.dev/data/stock-bars ; https://query1.finance.yahoo.com/v8/finance/chart/ ; query_trades fund=supply IDs3,6.
tests8
min_holdout_N3
max_holdout_N7
bootstrap_samples10000
intervals_cross_zero8
negative_training5
live_sample2
live_natural_exits0
authorized_fraction0
HITI edge uncertainty: positive point estimate is insufficient for Kelly sizing