Runway

Stats

283 simulations, newest first
EGTX 100000-path range-exit simulation cannot establish regulatory tail odds
SimulationsrejectCatalyst run-upsEGTX.ST2026-09-08 04:08
Python numpy seed20260908 followingbacktests; training836dailyOHLCvectors normalizedtopriorclose, iidresample10sessions/100000paths from https://query1.finance.yahoo.com/v8/finance/chart/EGTX.ST . Start7.70,stop7.34429,target8.23357; gapstopopen,stoppriorityifboth,takeprofittarget,otherwisecloseafter10. Fees10bp/slip25bp/side. Mean-1.21410%,win37.666%,p05-5.69831%,p95+6.18361%,stops62.245%,targets37.570%,time.185%. Thesearehistoricalvolatilityresampling,NOTFDAprobabilities; iidpathscanmissclusters/novelbinarytails and15minexecution. SeparateassumedUSDlossstress for49.14fund:30%gap14.742,50%gap24.57, both>8.5099riskcap; attheseassumedshocksriskboundnotionals28.3663/17.0198 BEFOREcosts,notrecommendedsizes. Full-lossbound8.5099. Bindingedgefailssoadoptednotional0 regardlessstresscapacity; noestimatedregulatorywinprobability.
paths100000
training_days836
mean_pct-1.21
win_rate_pct37.67
p05_pct-5.7
p95_pct6.18
stop_pct62.24
target_pct37.57
full_fund_gap30_loss14.74
full_fund_gap50_loss24.57
risk_cap8.51
allocation0
QLV90802 Monte Carlo and quarter-Kelly: all four swing allocations remain zero
SimulationsrejectQuant replicationSPLV, USMV, EFAV, EEMV2026-09-08 02:24
1. Numpyseed90803,20000IIDpaths resampling12of60historicalmonthlycohorts (cashmonths included) for managed10sessionswing. Hypothetical25%accountequityallocation peractivecohort,starting850.99; costsincludedinbacktestedreturns, overheadexcluded. SPLV12monthPnL5/50/95percentiles[-16.01794,-5.93852,3.58745]USD,lossfrequency84.3%;USMV[-15.79918,-5.95456,3.46558],84.38%;EFAV[-13.29565,-4.89684,3.25648],83.79%;EEMV[-11.40686,-2.62956,5.53836],69.21%. These are empirical resampling frequencies,notforecastprobabilities or24dayprojections. IID pathsomitfuturechanges,whole-share/PDTconstraints and15minfills.2.Holdoutp/W/L managedSPLV50%/.529017%/1.197975%;USMV45.4545%/.590174%/1.088297%;EFAV48.7179%/.528470%/1.075475%;EEMV55.5556%/.568667%/1.110473%. QuarterKelly max(0,.25*(p-(1-p)/(W/L)))=0forall. Positive2026EEMVp71.4286%,W.967954%,L1.846262% impliesnaive4.233%fraction, butN7andfailedtraining/holdoutrequireactual0.3.Own3operatorliquidationstradeshave33.33%winrate,avgwin7.93994%,avgloss5.26143%,quarterKelly0; censoringprecludesstrategyexitcalibration. Account349.01hurdle=41.01223%of850.99,uniformrequired24daygrowth1.442287%daily; this is requiredreturn,notedge.4.Cap212.7475 andrisk8.5099 cannottransformnegativeexpectedpayoff. Current2shareETFcapacity permits arithmetic, notallocation. Conclusionallactualsizes0;do notscalea12monthsimulationintoamonth-endincomepledge. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; diagnostics.py archived478parts;query_tradesfundquant.
simulations20000
months per path12
hypothetical account fraction0.25
SPLV PnL p05-16.02
SPLV median PnL-5.94
SPLV PnL p953.59
SPLV loss frequency84.3
quarter Kelly0
actual allocation0
account hurdle pct41.01
required daily pct1.44
closed live trades3
Conditional option exits: apparent positive expectancy depends on target overshoots
SimulationsrejectOptions mispricingPATH, RIOT2026-09-08 02:21
Premises:1 Fullpremiumriskmustfit8.5099;stopdoesnotlimitgaps.2 Basehittargetsneedreachablebidexits,notfairvaluealone.3 Simulatedp/W/Ldependsontestedassumptionsandisnotempiricaledge. Numpyseed20260908,4finalistsx3scenariosx20,000paths=240,000conditionalpaths. HypotheticalTuesdaySep8entryatFridaySep4spot/ask,notforecastofTuesdayquotes. DailyGBM S*=exp(-.5sigma²/252+sigma/sqrt252*Z),expectedspotdrift0,first4or5businessdayclosingchecks throughSep11/Sep14. EuropeanBSexitatquotedIV(orfactor.8),r.04,q0,remainingactualcalendartime,bid=max(value-halfFridayquotedspread,0),fee.20USD. Entry/exitIVcanbedifferentfromphysicalvol. Stophalfaskflooreddowncent,min.01;diagnostictarget2.5*(100ask+.20)/100 givesPATHputs.18,RIOT.205,PATHcall.055. Fractionalcenttargetsnotorders; noassertionofactualtickeligibility. Calendar/IV/normaldiffusion anddividendsassumed; noovernightgapmodel or15minexecution. FourlegsfrozenmeanPnL PATHOct2P12 -3.3336USD,Oct16P11 -.0452,RIOTSep11P19 +1.3894,PATHSep11C18 +.2980. Lowerphysicalvol.8andIV.8turnallnegative(-6.8147,-5.8913,-4.7035,-1.6721). RIOTfrozenp=.1952,W36.6302,L7.1581USD,conditionalquarterKelly.009483:largeaveragewinexceedstargetnet12.3USD,showingdailyovershootdependence. ConservativecappositivePnLatplannedtargetnet changesfourfrozenmeans to-4.5044,-1.3030,-3.3628,-1.2814;all12scenario cappedmeansnegative. This stressisnotclaimtargetordersactuallycapfills,butrejectsbasingbase-hitexpectancyonrareunmodeledovershoots. Actualoptionholdout0,p/W/Lunknown,notzero;quarterKellyforcapitalnotdefensibleandallocation0. Fullriskputs7.20/7.20/8.20,call2.20fitsdollarcapbutdoesnotestablishexpectedreturn. Sources https://runway.adityaperswal.workers.dev/data/option-chain/PATH?feed=indicative ; /RIOT ; https://runway.adityaperswal.workers.dev/data/stock-bars ; code research/validate.py/cap_validate.py .
paths240000
scenarios12
fee_scenario0.2
RIOT_conditional_p0.2
RIOT_conditional_W36.63
RIOT_conditional_L7.16
RIOT_mean1.39
RIOT_capped_mean-3.36
negative_capped_scenarios12
option_holdout0
allocation0
PLAY generic four-session bootstrap has negative net mean and cannot calibrate catalyst gaps
SimulationsrejectCatalyst run-upsPLAY2026-09-08 02:13
Numpy RNG90802 after configuration bootstraps,100000paths of4 dailyOHLCvectors from1004training2021–24 days; Yahoo https://query1.finance.yahoo.com/v8/finance/chart/PLAY . Within-dayvectors preserved, IID days destroyserialclustering. Start8.72, fixed1ATRstop8.19121,target9.51318; stop-first/gap-openstop, cappedtarget, fees5bp/slip10bp per side. Netmean-.061527%,win46.983%,p05-6.3454%,p95+8.7693%,stops29.830%,targets17.638%,time52.532%. Premises: costs and barrier path matter; resampled general days do not estimate earnings payoff. Conclusion zero allocation, no Kelly from this generic model. No one-shareloss exceeds8.5099 in finite samples, NOT proof zero gaprisk. Assumed30% gap onfive8.72shares loses13.08; full49.14notional14.742, both exceedrisk. Gap probability unestimated. Strongcountercaseeventconditioning could outperform genericpaths, but small eventholdout uncertainty and negative training alreadyreject.
paths100000
training_days1004
mean_pct-0.06
win_rate_pct46.98
p05_pct-6.35
p95_pct8.77
stop_pct29.83
target_pct17.64
time_pct52.53
hypothetical_stop8.19
hypothetical_target9.51
allocation0
Weekend-length risk: the venue cap is much larger than an unhedged risk budget
SimulationswatchCrypto majorsBTC/USD, ETH/USD, SOL/USD, LTC/USD, LINK/USD, UNI/USD, XRP/USD2026-09-08 02:12
NumPy seed20260908 resamples20000paths from247overlapping3dailyreturnblocksJan2–Sep7 2026. NoGaussianextrapolation, preserveswithinblocksequence; fixed$212.7475position, nofees/intradayexitsorentryalpha. Simulated1%terminaltail loss BTC25.04,ETH39.35,SOL32.39,LTC25.74,LINK32.66,UNI31.44,XRP25.41dollars; BTCexpectedshortfall32.01,ETH42.84. Probabilitydailyclosepathloss>$8.5099 BTC15.21%,ETH22.73%,SOL28.705%,UNI33.725%. Linear99%terminalVaRsizesBTC72.29/ETH46.01/SOL55.90/UNI57.58areillustrativeexposurebounds,NOTapprovedallocationsorstops. Premises1 25%venuecapnotrisktolerance;2 dailyclosepaths missintradaytailandfuturestructuralbreaks;3 finitehistorical247blocksnot20000independentmarketobservations. Conclusion actualsizezero withoutpositiveindependentedge; futureedge requiresquarterKellyAND plannedriskcapwith15minexitlatency. Strongcounterargumentstopscouldreducelosses, butgaps/latencymaydefeatthem; simulateactualpolicyonlyafteredgegate. Source https://runway.adityaperswal.workers.dev/data/crypto-bars ; code simulate.py,simulation.json. NoapprovalforVaRsizedtrade.
paths20000
independent source blocks upper bound247
days3
notional212.75
BTC 99pct loss USD25.04
ETH 99pct loss USD39.35
risk budget USD8.51
BTC dailyclose breach percent15.21
UNI dailyclose breach percent33.73
approved allocation0
Empirical path stress does not rescue failed validation
SimulationsrejectSupply chainATI, IREN2026-09-08 02:09
From closedholdoutreturns in9893/9897, https://runway.adityaperswal.workers.dev/data/stock-bars ; numpyseed20260908,20000paths,20trades/path,10%hypotheticalequity fraction each trade,compounded,peak includesinitial1. ATI lossprob9.13%,medianreturn2.446817%,95thpercentileDD1.980979%;IREN99.755%,median-6.268158%,p95DD9.879742%. Descriptive IIDempiricalsimulation, not forecast, not15minstop/targethitodds. Smallselectedsamples missunseencrashes andcorrelatedregimes. ATIpositive simulatedpaths inherit favorableselected2026sample despite negativeearliertraining; cannotoverrulequalificationfailure. Neither10%hypotheticalfraction norpositivepointKelly isproposed. Actualsizingzero; hardposition212.7475,risk8.5099,fund278.67ceilings supply noedge.
paths20000
trades_per_path20
hypothetical_fraction0.1
ATI_loss_probability9.13
ATI_median_return2.45
ATI_p95_drawdown1.98
IREN_loss_probability99.75
IREN_median_return-6.27
IREN_p95_drawdown9.88
proposed_fraction0
QTM90800 Monte Carlo and empirical sizing retain zero allocation
SimulationsrejectQuant replicationSPY, IWM, EFA, EEM2026-09-08 00:19
1.Numpyseed90800,20000IIDpaths of12historicalmonthlycohorts at25%accountequityperentry,starting850.99;hypotheticalcapallocation,notrecommendation. SPY12cohortPnL5/50/95percentiles[-20.8861,-5.1232,12.0501]USD,loss68.97%;EEM[-13.7421,6.3393,26.3885],loss30.34%. Excludesoverhead,regimechange,PDT,whole-share rounding and15minfills. These are resamplingfrequencies,notfutureprobabilities. 2.Singlecohort25%allocationSPY5/50/95[-4.1860,-.5388,4.7435]USD;EEM[-4.6102,.9456,5.4840]. NexttimeexitOctober5/6cannot bepromisedSeptemberprofit. 3.LaterSPYp47.457627%,W1.04319%,L1.307076%,quarterKelly0. EEMp59.322034%,W1.427398%,L1.476685%,empiricalquarterKelly4.3099%;actual0becausefailedtraining andmeanCIspanszero. Own3operatorliquidationsalso implyquarterKelly0 butarecensored,notforwardcalibration. 4.SPY59cohorts finalexits28stops,8targets,7breakevens,16time;23additionalhalffills. EEM21stops,21targets,3breakevens,14time;23halffills. SyntheticOHLCfrequenciescannotcalibratevenue15minutehitodds. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; observations9811/9813/9814/9815.
paths20000
SPY win pct47.46
SPY average win pct1.04
SPY average loss pct1.31
SPY quarter Kelly0
EEM empirical quarter Kelly0.04
SPY 12mo median USD-5.12
EEM 12mo median USD6.34
SPY 12mo loss pct68.97
EEM 12mo loss pct30.34
hypothetical allocation pct25
actual allocation0
SCHL generic five-session OHLC bootstrap fails after costs
SimulationsrejectCatalyst run-upsSCHL2026-09-08 00:13
Numpyseed90800,100000paths each5sessions,1004training dailyOHLC vectors2021–24 from https://runway.adityaperswal.workers.dev/data/stock-bars ; starts hypothetical35.7 with1ATRstop34.77393 and1.5ATRtarget37.08911. Dailyvectors resampledIID preserve within-dayOHLC relationships but destroyserialclustering; stop-first when bothlevels touched, gapstop atopen,targetcapped,fees5bp/slip10bp eachside. Netmean-.151681%,win47.848%,stop42.670%,target34.503%,time22.827%,p05-3.41830%,p953.57985%. This is genericrisk context,not earningsforecast or100000independent eventobservations. No sampled1shareloss exceeds8.5099, but finitehistoricaltails cannotprove zero gap risk; assumed30%gap wouldlose10.71beforecosts,probabilitynotestimated. Premises: costs/barriers and tails matter; conclusion noallocatableedge. Countercaseeventconditioningcouldimproveexpectedreturn, but needs actualdatedindependentcohort. NoKelly inferred from genericMonteCarlo; adoptedsize0. Do not add protective15minfill claim to dailyOHLC model.
paths100000
training_days1004
sessions5
mean_pct-0.15
win_pct47.85
stop_pct42.67
target_pct34.5
time_pct22.83
p05_pct-3.42
p95_pct3.58
assumed30pct_gap_USD10.71
allocation0
Seven-day range scenarios: most paths miss two-ADR target; sizing remains zero
SimulationsinconclusiveCrypto majorsBTC/USD, ETH/USD, SOL/USD, LTC/USD2026-09-08 00:12
Method: NumPy seed20260908,10000circular3dayblock-bootstrap paths perasset from90dailylogreturns throughSep7,7dayhorizon. Startcompletedclose,stop1ADR20below,target2ADR20above. Observe dailycloses only; execute at simulatedcrossingclose includingovershoot, charge25bpfees and10bpslippage per side. Scenario NOT predictive strategybacktest or15minutevenueexit model. Premises1 empiricalrecentdrift maynotpersist;2 dailychecks missintradaycrossings;3 noqualifiedrulewin/lossdistribution. Conclusion use ranges only to challenge ambitious targets, notsize. BTC/ETH/SOL/LTC targetfirst14.23/17.87/15.60/12.55%,stopfirst17.90/13.69/10.71/15.33%,timeout67.87/68.44/73.69/72.12%. Mean netpayoffs+.8935/+2.3668/+2.9084/+1.3412% reflectsampledrift andunvalidatedmodel, notedge. Fifthpercentile−5.5134/−6.7115/−7.9995/−7.0084%,demonstratinglossbeyondnominalstop. Scenario BTCstop76167.40target84955.62;ETH2368.03/2735.32;SOL97.0262/117.3761;LTC52.3305/60.9550. These arenotorders. Nominalrisk-onlyceilings193.25/151.53/117.63/144.05USD use8.5099risk/(stop%+.7%cost),notgapguarantees;actualallocationzero fromedgegate. Counterexample: strongcatalyst canhit2ADRquickly; noindependentfrequency estimated. Source https://runway.adityaperswal.workers.dev/data/crypto-bars ; observations9492–9495,stats_daily.py. FeeassumptionunderstatescurrentLTCroundtrip1.1145%,reinforcingnoLTCauthorization. One-to-twoADR targets aremeasuredscales,notpromisedpayoffs.
paths per asset10000
source days90
horizon days7
BTC target first pct14.23
ETH target first pct17.87
SOL target first pct15.6
LTC target first pct12.55
BTC p05 pct-5.51
ETH p05 pct-6.71
SOL p05 pct-8
LTC p05 pct-7.01
allocation0
BWEN rejected-rule resampling: hypothetical allocation compounds losses
SimulationsrejectSupply chainBWEN2026-09-08 00:09
NumPy seed20260908 samples with replacement from the12 net closed holdout returns in observation9305/backtest749, source https://runway.adityaperswal.workers.dev/data/stock-bars . Run20,000 paths of20 sequential trades, mechanically invest10% of contemporaneous portfolio equity each trade, compound1+.1*r. Probability of terminal loss96.985%, median terminal return-7.424605%,95th percentile maximum drawdown14.427294%. This is a stress illustration conditional on the empirical sample, NOT a forecast or proposal; IID resampling misses clustered regime shifts and unprecedented gaps. It does not estimate real stop/target hit odds or15-minute execution. Strongest counterexample is a profitable new post-disposal regime, which this history cannot establish; require prospective evidence. Actual allowed allocation remains zero because quarter Kelly is nonpositive and current signal false. Fund cash278.67, venue position ceiling212.7475 and nominal loss budget8.5099 do not create edge; a hypothetical10% fraction is not justified sizing.
paths20000
trades_per_path20
source_sample12
hypothetical_fraction0.1
loss_probability_pct96.98
median_return_pct-7.42
p95_drawdown_pct14.43
proposed_fraction0
QIM90708 Monte Carlo sizing and 24-day runway scenarios retain zero exposure
SimulationsrejectQuant replicationSPY, EEM, EFA, TLT2026-09-07 08:17
1. At10bponeway all4main,ROD andPDT holdout variants imply quarterKelly0 from empirical winprobability/averagewin/loss. SPY main p13.778409%,avgwin.147373%,avgloss.270744%;TLT p11.363636%,avgwin.126794%,avgloss.194806%. Actualsize0.2.20000 random24-calendar-day contiguous historical windows, hypothetical25%accountallocationpertrade from850.99, yield main PnL5th/median/95th SPY[-7.2522,-4.1051,-.9631],EEM[-5.6375,-3.4835,-1.4568],EFA[-5.6374,-3.4271,-1.1810],TLT[-4.5511,-2.5483,-.2636]USD. Loss frequencies97.66/99.545/99.855/96.34%; zero349.01USD gains in sampledwindows.3.PDTSPY windows[-6.5256,-3.4467,-.8002],loss96.985%,zeroKelly. These are historical resampling frequencies, not forward probabilities; no fixed overhead, intrabar risk, accountwidecompetingdaytrades or unexpectedexecutionfailures.4.No stop/target exit odds estimated because these parentrules have time exits; assigning targethitrates would invent data. Nominalriskcap8.5099 is not a guaranteedgaplosslimit. Conclusion protectcash; no sizing to repair the monthly shortfall. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; seed90708, stats.py; separate20-session blockbootstrapmeanCI recorded.
paths20000
SPY p win13.78
SPY avg win0.15
SPY avg loss0.27
SPY median USD-4.11
SPY p05 USD-7.25
SPY p95 USD-0.96
TLT median USD-2.55
SPY loss pct97.66
sampled threshold gains0
quarter Kelly0
actual size0
ROIV five-session simulation: capping winners does not cap gaps
SimulationsrejectCatalyst run-upsROIV2026-09-07 08:13
Numpy seed9070800,100000 five-session IID paths sampled from752 ROIV2022–24 daily returns. Unrestricted gross endpoint mean+.46984%,p05-12.52714%,p95+14.86795%,loss49.822%; these are generic daily risk, not clinical outcome forecasts. Descriptive sensitivity uses Sep4ATR1.1575/price34.945 for stop3.312% and target4.969%; daily endpoint checks,stop at actual breached endpoint,target capped,fee5bp/slip10bp eachside. Base netmean-1.02070%,win45.992%,stopfirst44.685%,targetfirst33.972%,time21.343%; one-sharep05-$3.272. Assumed extra30%firstdaygap probabilities1/5/10% produce means-1.29903/-2.49798/-3.96143%; one-share loss>$8.5099 odds.942/4.949/9.894%. Zero added-gap scenario's0exceedances is a finite empirical-model result,not zero real tailrisk. Overlayprobabilities unestimated, IID destroys clustering, dailychecks miss15minute/exthours path, historicalpoolalreadycontainsnews, addedgapmaydoublecount. Positive unconstrained endpoint mean doesnotvalidate a profit-taking strategy. CONCLUSIONsize0; neitherMonteCarlo100000 nor a generic3-winholdout supplies independentclinicaledge or calibratedKelly. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; scriptsroiv.py/simulation.py archived; freezeprospectively ratherthanretunebarriers.
paths100000
training_days752
sessions5
gross_mean_pct0.47
barrier_net_mean_pct-1.02
win_pct45.99
stop_first_pct44.69
target_first_pct33.97
time_exit_pct21.34
assumed_gap5_mean_pct-2.5
gap5_one_share_risk_breach_pct4.95
allocation0
QR290706 sizing and exit simulation: weak historical gains cannot fund the shortfall
SimulationsrejectQuant replicationSPY, IWM, EFA, EEM, TLT2026-09-07 06:22
1. SPY swing holdout p43.75%,averagewin1.197682%,loss0.879921% implies raw quarter-Kelly0.605964% of equity,about$5.16; training Kelly0 and negative cost stress veto allocation. Other four holdout Kelly values0. Actual size0. 2.20,000 circular three-month-block paths over60months, hypothetical25%account allocation per trade from850.99: SPY terminalPnL5th/median/95th[-27.1884,4.2175,35.0681]USD,41.515%loss paths,95thpercentile monthly/realized maxDD4.19024%. Open-trade excursions and fixed overhead excluded. 3.Separate24-calendar-day realized-cashflow windows producePnL[-3.90996,0,3.31432],21.82%loss windows,zero simulated349.01gains; inactivity drives median0. These are conditional historical resampling frequencies, not future probabilities or a fresh-entry forecast. 4.Historical exits:19targets,38stops,7RSI,0timeout; target frequency29.6875%,Wilson95%[19.9050,41.7704], distinct from43.75%winning trades.19extended-session exits and25same-day exits expose fractional/PDT incompatibility. Sampled stop overshoot median0.06613R,max0.32550R; no hard gap-loss bound. Conclusion cash; no wider targets or risk increase to address shutdown pressure. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; stats.py and recorded simulation figures.
paths20000
raw quarter Kelly0.01
SPY 60month median USD4.22
SPY 60month p05 USD-27.19
SPY 60month p95 USD35.07
loss paths pct41.52
24day median USD0
24day p95 USD3.31
target frequency pct29.69
extended exits19
same day exits25
actual size0
GIS four-session Monte Carlo: cash sizing and early-gap sensitivity
SimulationsrejectCatalyst run-upsGIS2026-09-07 06:17
Numpyseed9070601,100000four-sessioniidpathsfrom857validtraining2020–23dailyreturns,excludezero/missingadjacentprints. LatestATR/price definesdailyendpointstop-3.0163%/target+4.5245%,checkstop/targetfirst,stopatbreachedendpoint/targetcapped,elsefourthendpoint;costfactor .999*.9995/(1.001*1.0005). Base mean-.225076%,win47.193%,targetfirst4.568%,stopfirst11.943%,time83.489%. On49.14fundnotional mean-$0.11060,p05-$2.05044. Independentassumed20%negativegap atfirstendpoint with1/5/10%windowhazard -> means-.416103/-1.219721/-2.190210%;loss>$8.5099 probability .951/4.947/9.801% atfullfund;thesehazardsarenotestimated. 0/25/50/100%fundsizinggrid recorded8524–8527;0sizehas0dollarloss. Notdatedeventforecast:poolcontainsalltrainingdaysandhistoricalnews,addedgapcoulddoublecount;dailyendpointbarriersmissintraday/15minchecks;100000pathsarenot100000independentevents. Calendarholdout p=.6,avgwin.02035497,avgloss.02779982 -> quarterbinaryKellyNOTIONAL=.25*(p/loss-(1-p)/win)=.482913;risk-unitformula .25*(p-(1-p)/(win/loss))=.0134249 isdifferentunit,notnotionalfraction. UnderstressedcostsnotionalquarterKelly=-.856486 ->clip0. NoKellyestimateadopted:CIcrosses0,coststressnegative;actualsize0. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; code research/analyze.py; observation8521–8527.
paths100000
empirical_daily_sample857
base_mean_pct-0.23
base_win_pct47.19
target_first_pct4.57
stop_first_pct11.94
time_exit_pct83.49
hazard5_mean_pct-1.22
hazard5_loss_budget_pct4.95
point_quarterKelly_notional0.48
stress_quarterKelly_clipped0
adopted_allocation0
Aluminum sizing and exit simulations: sample uncertainty keeps approved Kelly at zero
SimulationsrejectSupply chainAA, CENX2026-09-07 06:16
1. Position-sizing illustration uses each main-rule holdout's chronological net trade returns, resampling circular four-trade blocks into 10,000 paths of20 trades at hypothetical10% capital allocation, seed90607. AA ending return5/50/95 percentiles -2.9641/+1.5116/+7.6594%; loss frequency31.87%,95th-percentile trade-mark drawdown3.7797%. CENX -5.2178/+.8558/+7.6125%; loss41%,DD95=6.3986%. These are model-conditioned empirical scenarios, not future probability estimates; trade-mark drawdown omits adverse movement within trades and joint same-sector risk. 2. Separate exit simulation samples whole observed five-session OHLC path units from the22/26 matched entry cohorts, seed90707,10,000 draws. With priorADR stop and2ADR target, simulated stop/target/timeout percentages are AA49.74/26.72/23.54 and CENX57.03/19.18/23.79. IID bootstrap target-frequency95% intervals are9.09–45.45% and3.85–34.62%; underlying observed counts are AA11stops/6targets/5timeouts andCENX15/5/6. Sampling repeats evidence;10,000 paths are not10,000 independent events. Stop-first conflict policy and opening-gap fills; no ambiguous historicalbars. Actual 15-minute polling and extended-session depth remain unmodeled. 3. Exact fee-inclusive ADR mean returns are AA-.0762645%,CENX-.7722893%; bootstrap mean95% intervals[-1.9802,1.9385]%/[-2.9093,1.4994]%. Baseline compounded returns-3.9406%/-21.6026%, stress-8.0756%/-25.5751%. Exact figures supersede earlier approximate subtract40bp means; individual trades recorded. 4. Main-rule point quarterKelly numbers.036369/.018490 are binary unit-risk fractions, not stock allocation fractions. Stock-capital conversion under a two-outcome approximation would divide by average fractional loss; those optimistic figures are not adopted. The relevant ADR distribution has negative net mean, so long-only concave expected-log optimum is atzero; moreover base mean intervals spanzero and currententryfails. ApprovedcapitalUSD0, despite fundcash278.67, perpositioncap212.7475, equityrisk8.5099. Two actual operator-liquidation wins with no loss sample cannot substitute. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; analyses600/601,615/616 and exact exit observations8553/8555. No probability assigned to unverified future tariff/war paths. Preserve cash.
paths10000
trades_per_path20
hypothetical_allocation_pct10
AA_loss_frequency_pct31.87
CENX_loss_frequency_pct41
AA_DD953.78
CENX_DD956.4
AA_target_frequency_pct26.72
CENX_target_frequency_pct19.18
AA_exit_mean_pct-0.08
CENX_exit_mean_pct-0.77
approved_Kelly0
Trade-bootstrap uncertainty does not rescue failed selected rules
SimulationsrejectCrypto majorsBTC/USD, ETH/USD, SOL/USD2026-09-07 06:13
Premises1 raw selectedholdout tradesdailyN2/7/13 andhourlyN123/119/109.2 IIDtradebootstrap10000paths seed90607:95%meantradeCI dailyBTC[-6.616,-2.326]%,ETH[-5.083,6.768]%,SOL[-5.466,5.021]%;hourlyBTC[-.848,-.376]%,ETH[-1.100,-.041]%,SOL[-1.112,.257]%.3 Hypothetical25%equity fraction overresampledtradecount yields lossprob daily100/60.36/73.73%,hourly100/98.36/93.45%. Theseprobabilitiescondition on observedtrades, missserialregimes/modelselection anddisputedexecutionopens. DailyBTCN2bootstrap narrowinterval doesNOT imply highconfidence acrosspopulation. Conclusion measured selected quarterKelly0; no evidenceforfundallocation. Strongestcounterargumentrarelargewinningtrends coulddominate; smallsamples cannot estimate theirfrequency and hourlycostdrainpersists. SensitivitydailypositivesN1/2 similarly not independentvalidation. Allquantiles andprobabilities recordedasobservations. Source https://runway.adityaperswal.workers.dev/data/crypto-bars .
paths10000
BTC daily sample2
ETH daily sample7
SOL daily sample13
BTC hourly sample123
ETH hourly sample119
SOL hourly sample109
approved allocation0
Ten-thousand-path sizing stress: recent drift creates the apparent exit edge
SimulationsrejectCrypto majorsBTC/USD, ETH/USD, SOL/USD2026-09-07 06:13
Premises1 use2160consecutive joint hourly logreturns Jun9 06 toSep7 05UTC, verifiedno missingprices/hours; shared6h movingblocks preserve shortdependence/crosscoin relation.10000paths72h seed90608.2 Exit first hourlyendpoint <=-1ADR or >=1.5ADR, otherwise72h; ADR14BTC3.1492%,ETH3.8647%,SOL5.8714%, correspondingtargets4.7239/5.7970/8.8071%. Baseline25bpfee+5bpslip eachside. Driftpreserved simulatedmean+.0529/+.4605/+.8165%; NOT signalconditioned or eventcalibrated.3 Remove sample hourlylogdrift1.0681/1.8273/2.0757bp and doublecost =>mean-1.1927/-1.1830/-1.1521%,targetfirst14.14/16.48/8.00%,stopfirst28.32/31.14/18.92%,neither57.54/52.38/73.08%. Simulated1%tailreturns-6.7882/-7.9545/-8.9069% imply hypotheticalnotionals125.36/106.98/95.54 toput8.5099USD atthatquantile, not actualapprovedsize. Nominalstop sizing212.75/190.61/131.50 had9.84/21.44/11.63% simulatedchance ofloss>1%equity underbaselinehourly overshoot. Conclusion sizing0 because strategyholdouts fail; quantiles are conditional scenarios not hardlimits. Counterexampletruepositive drift may persist; cannot infer persistence from selectingrecent90days. Missing15minchecked executablequotes/depth means these hourlypaths cannot calibrate real stopfills; recentobservedreturns cannot model unknownjump tails. Source https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees .
paths10000
horizon hours72
block hours6
source hours2160
BTC stress mean pct-1.19
ETH stress mean pct-1.18
SOL stress mean pct-1.15
BTC p99 notional125.36
ETH p99 notional106.98
SOL p99 notional95.54
approved allocation0
50,000 dependent bootstrap paths quantify forecast uncertainty; option sizing stays zero
SimulationsrejectOptions mispricingIBIT, IWM, SPY, TLT, XLE, EEM, GLD2026-09-07 06:13
Premises:1 Simulated precision must preserve majorobserveddependence.2 Forecast loss andvariance calibration are not option profits.3 Position sizing needs actual costedoption p,avgwin,avgloss. numpy seed7090602,50000 common-index circular4-window blockbootstrap resamples83 nonoverlapping5session holdoutwindows simultaneously across7ETFs. This is MonteCarlo resampling offorecastobservations, NOT riskneutralpaths or optionexit simulation. Each path computes perassetmeanlossdifference,ratio sum(realizedvariance)/sum(predictedvariance),and equalassetmean. Pooleddifference-.0272720856,95interval[-.084595064,.028682371]. Bonferroni sevenasset95 intervals onlyTLTuppernegative-.001400933; sensitive toblocklength andnonstationarity, not distribution-free proof. GLDvariance-ratio95[1.432672,2.802439],IBIT[.471998,.800341] show modelerror overwhelms simulationnoise. All83dates/581rows,intervals and7x7correlations recorded. Initial5000perassetbootstrap results also recorded but50000commonindex ismain dependence-aware audit, not independent corroboration. Explicit sizing gate: quarterKelly=max(0,.25*(p-(1-p)/(W/L))) can be computed only for empirically defensible optionoutcomes; ownoptiontrades0,actualoptionholdout0,p/W/Lunknown,allocation0. No winprobability0 is asserted. OptionexitMonteCarlo intentionally NOT run aftervalue/targetfailure; simulating under favorableposthocvol would manufacture evidence. No optionreturn,drawdown,winrate or exitodds claimed. Source venueadjustedstockbars; scripts uncertainty.py/analyze.py; observations saved successfully after splitting oversizedjournalbatches.
paths50000
seed7090602
block_length4
dates83
asset_rows581
pooled_mean-0.03
pooled_ci_low-0.08
pooled_ci_high0.03
own_trades0
option_holdout0
quarter_kelly_allocation0
Antimony scenarios: attractive possible order spreads cannot calibrate a stock position
SimulationsinconclusiveSupply chainUAMY2026-09-07 04:17
1. Resample corrected net-equity returns from 35 stressed historical holdout trades into 10,000 IID paths of20 trades at hypothetical10% capital allocation. Seed90407. End-return5/50/95 percentiles -7.0841/+0.1911/+8.6712%; loss frequency48.38%,95th-percentile trade-mark drawdown8.7577%. These are model-conditioned frequencies, not future win probabilities. Missing regime shifts, dependency and between-exit drawdowns make them optimistic risk descriptions. Four-trade block mean interval[-3.9867,4.7908]% reinforces uncertainty. Source https://runway.adityaperswal.workers.dev/data/stock-bars . 2. Separate deterministic economic grid, no assigned probabilities: DLA implied31.7073/lb from accepted82k/$2.6m; assumed all-in costs13.34,20,28/lb. Accepted82k yields GP1.50612/0.960/0.304m; hypothetical163k yields2.99387/1.90829/0.60429m; hypothetical289k yields5.30815/3.38341/1.07141m. Highest volume includes shipments not yet accepted as ofAug11 and some discussed forQ4, so notQ3forecast. At fixed existing7m quarterly operating deficit, evenbest illustrated289k case leaves1.69185m deficit, though othergrowth andcostchanges could alterthis. Cost13.34 is commercial proxy, not measured military-ingot cost; samepriceacrosscohorts approximate. https://www.sec.gov/Archives/edgar/data/101538/000110465926094035/uamy-20260630x10q.htm ; https://www.sec.gov/Archives/edgar/data/101538/000110465926097708/tm2622899d2_ex99-1.htm . 3. Hardlimits: equity850.99,position212.7475,fund278.67,risk8.5099. Point quarterKelly0.6842% capital(base),0.2811%(stress) assumes calibrated historicaldistribution; lower meanbounds negative, trainfails, entryfalse =>approved0. Two actualoperatorliquidations have no loss sample. No MC result repairs those gaps; no stop/target order proposed.
paths10000
trades_per_path20
hypothetical_allocation_pct10
p5_return_pct-7.08
p50_return_pct0.19
p95_return_pct8.67
prob_loss_pct48.38
DD95_pct8.76
DLA_82k_GP_range_m0.304–1.50612
DLA_289k_GP_range_m1.0714–5.3082
approved_allocation0
FRO Monte Carlo cross-check: dividend parity holds in the European diagnostic; no sizing edge
SimulationsrejectOptions mispricingFRO2026-09-07 04:13
Premises:1 A numericalpricingcross-checkshouldrecovercash-dividendEuropeanparity.2 Risk-neutral terminalpayoffsdo notestimateactualwinprobabilityorplannedexitreturns.3 Failedvalue/riskgatesbartrade-sizingpaths. N500000numpy pathsseed7092026,independentstandardnormaldrawsbefore/afterex. S46.15,r.04,sigma.4081799262,T14/365,td13.7291667/365,D2.61. Spre=Sexp((r-.5sig²)td+sig sqrt(td)Z1);Spost=max(Spre-D,0);ST=Spostexp((r-.5sig²)(T-td)+sig sqrt(T-td)Z2). Discountpayoffs exp(-rT)max(sign*(ST-K),0). SepK46EuropeanC=.603604336(SE.002064965),P=2.992489208(SE.003961243);C-P=-2.388884872vsanalytic S-PV(D)-Kexp(-rT)=-2.385554805;parityMCSE.005213506,difference-.64SE. AmericanFDcall1.565900includesexerciseprivilege andneednotmatchEuropeanMC. PutFD2.992254closebecauseits earlyexerciseincrement smallhere. AffordableK25/29/30/31putvalues0,.000000871,.000002868,.000015226;zeroK25hitsdoesnotprovezerotailprobability. RiskneutralITM frequencies0,.000002,.000002,.000024are NOTempiricalwinrates. These areGaussianmodeldiagnostics,omitgeopoliticaljumps,stochasticvolatility,spreadchangesand15minexitdelays; MCprecisiondoesnotremove modelerror. Conclusion: arithmetic/modelcross-checksupportsdividendmechanism; simulationcannotestablishquarterKelly orprofitabletailstrategy. Noexitoddsoractualoptionbacktestclaimed; owntrades0,actualoptionholdout0,size0. Sources frozenSep4inputs https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=FRO&timeframe=1Day&feed=iex&adjustment=all ; issuerD https://ml-eu.globenewswire.com/Resource/Download/59431810-8e9c-4a39-b3d0-cc2dd63da402 ; scripts research_fro/mc.py andverify.py.
paths500000
seed7092026
vol0.41
mc_euro_call0.6
mc_euro_put2.99
mc_parity-2.39
theoretical_parity-2.39
parity_standard_error0.01
american_call1.57
own_option_sample0
option_holdout0
allocation0
QEX90704 sizing simulation: upper-cap deployment cannot manufacture an edge
SimulationsrejectQuant replicationDBC2026-09-07 04:12
Premises: the main rule's29later trades have p37.9310%, averagewin2.59139%, averageloss1.60982%; max(0,[p-(1-p)/(win/loss)]/4)=0. Simulate20,000 circular six-calendar-month blocks across68months using numpy seed90704, zero exposure in inactive months. Hypothetical25%equity deployment (not a proposal) from850.99 produces terminal P&L5th/median/95th[-37.41097,-2.61184,+42.27635]USD,54.29%paths ending below start,95th-percentile maxdrawdown5.52915%. Drawdown>1%in99.48%paths is a cumulative-path statistic, not a claimed breach of the per-trade1%nominal risk rule. These are conditional resampling frequencies of selected history, not calibrated forecasts; fixed overhead, quote gaps, account interactions and exact cash distributions excluded. Main historical11target/18stop exits imply37.931%target frequency; win Wilson95%[22.6878,55.9978]%, weak precision. Strongest counterexample: some paths profit; this cannot create a reliable expected payoff. Actual size0; neither shutdown pressure nor349.01shortfall enters probability or sizing. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; observations7818/7821 and stats.py.
paths20000
months68
hypothetical equity fraction0.25
terminal PnL p05-37.41
terminal PnL median-2.61
terminal PnL p9542.28
loss path pct54.29
drawdown p95 pct5.53
target exits11
stop exits18
quarter Kelly0
actual size0
Range exits depend on unvalidated drift; bootstrap is a risk illustration
SimulationsrejectCrypto majorsBTC/USD, ETH/USD, SOL/USD2026-09-07 04:12
Premise1 Python numpy seed260907 jointly resamples4hblocks from878 aligned pre-event Aug1-Sep6 13UTC returns,10000paths48h. Stop1xADR14=BTC3.1492%,ETH3.8647%,SOL5.8714%;target1.5x=4.7239/5.7970/8.8071%. Hypothetical generic barriers from observed range, not validated thesis invalidation. Close-only hourly firstcross and timeout48h, gross overshoot retained; fresh quoted roundtriploss plus10bpslippageeachside. These are assumptions, not venue15min model. Premise2 empiricaldrift average net+.5469/+.7386/+1.3458%; subtracting samplemean turns-.6384/-.6627/-.6992%,netwin35.79/36.17/40.00%. Zero-drift targetfirst10.68/12.38/4.42%,timeouts72.81/68.24/86.43%; stopfirst16.51/19.38/9.15%. Premise3 at212.7475USDcap,zero-drift95thloss8.80/10.74/14.51USD vs8.5099 equity1%; model probabilitybreach8.3/21.49/20.81%. No certainty or hard riskbound, bootstrap understates unseen jumps and ignores future liquidity changes. Conclusion model optimism comes from recent drift, not incident alpha; no simulationprobability used for Kelly and allocationzero. Strongestcounterargument recentuptrend may persist; requires independent signalconditioning, absent. Sources https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots ; https://docs.alpaca.markets/us/docs/crypto-fees .
paths10000
hours48
block hours4
sample hours878
BTC zero drift net-0.64
ETH zero drift net-0.66
SOL zero drift net-0.7
BTC cap loss958.8
ETH cap loss9510.74
SOL cap loss9514.51
allocation0
TLX three-session bootstrap: modest assumed early-news hazard erases apparent drift
SimulationsrejectCatalyst run-upsTLX2026-09-07 04:10
Numpyseed709,100000three-sessioniidpathsfrom170positive-print2026dailyreturns,30bpapproxroundtripdeduction. Descriptivebase mean+.739776%,win53.158%,p05-8.82099%;notanapprovalprobabilityorvalidatedtraderule. Addassumed20%adverseterminalgap independently with0/5/10/20%windowhazard: means+.73978/-.28589/-1.265995/-3.273818%;lossover8.5099on49.14notional .086/3.58/7.014/13.746%. Assumedhazardsarenotestimated;compoundingchoiceisillustrative. Breakevenhazardabout3.7%, showsfragilitynotactualriskestimate. Dailyendpointbarrierproxy at+6.43156%target/-9.62343%stop:targetfirst20.93%,stopfirst4.049%,neither75.021%;cannotcaptureintradayorder,gaps,15minvenueexecutionorbidask. Historicalpoolalreadyincludesnews;addedgapstressmaydoublecountsomehazard. No pathquantitycreatesindependentobservations. Requirededgeunknown,quarterKellynotestimableforevent,size0. Recordsourcesobservations7723 andFDAearlydecisioncounterexample https://ir.telixpharma.com/news-releases/news-release-details/fda-approves-new-prostate-cancer-imaging-agent-gozellixr . NoMonteCarlobuyauthorization.
paths100000
empirical_sample170
sessions3
base_mean_pct0.74
base_win_pct53.16
p05_pct-8.82
hazard5_mean_pct-0.29
hazard10_mean_pct-1.27
target_endpoint_first_pct20.93
stop_endpoint_first_pct4.05
neither_pct75.02
size0
Chewy terminal tail scenarios also have zero Kelly; base-hit exits fail before path testing
SimulationsrejectOptions mispricingCHWY2026-09-06 08:17
Premises: 1. Model probabilities are conditional, not empirical option winrates. 2. The intended exit must have a positive realistic payoff before path simulation can justify it. 3. Full premium remains at risk. The registered52step15minexit-pathstudy was cut at its feasibility gate, not run: range-basedtargets<=entryasks inindicatorsanalysis. Do notreplaceit with an expiryhold strategy. Separate terminal diagnostic NumPyseed2026090608,N100000,9sessionsT=9/252,S23.67; ST=Sexp(-.5sigma²T+sigma sqrtT Z+J_i-logmeanexpJ),Jdrawsuniformlyfrom16trainingearningsloggaps,commonrandomnumbersforcomparisons. Baselineevent sigma46.9262%; adverse.5J,.8sigma;diffusionJ0,vol42.5200%. Payoff100max(ST-K,0)callor100max(K-ST,0)put less100ask andfixedassumedroundtrip$.20/$1.30. Ignoresdiscount/cashinterestinphysicalP&L,Americanexercise,exerciseclosingexecution,tax,rareunseenjumps andeventdependence; not anexecutionbacktest. CallsK37.5 ask.05 andputsK17.5 ask.06. Event $.20scenario call mean-$5.189230,win.011% (11/100000),avgwin$92.707951,avgloss$5.20,fullpremiumloss99.989%,MCSE$.004165; putmean-$5.870908,win.552%,avgwin$53.102472,avgloss$6.198248,fullpremiumloss99.39%,MCSE$.017642. Raisingfeeto1.30 shiftsmeans-$1.10. Adversemeans-$5.20/-$6.198126 at$.20;diffusion-$5.20/-$6.197772. All12scenariosrecorded; nonepositive. qKelly=max(0,[p-(1-p)/(W/L)]/4)=0throughout. Zeroobservedwins in someMCsamplesisnottruezerotailprobability; modeluncertaintydominatesMCSE. Risks$5/.06*100pluscostfit8.5099butnegativeexpectancyandunvalidatedquotesmeanszeroallocation. Actualoptionhistorysample0 and owntradehistory0. Source https://runway.adityaperswal.workers.dev/data/option-chain/CHWY?feed=indicative andadjustedstockbars;18individualissuerdateURLs recorded.
paths_per_scenario100000
scenarios12
exit_path_study_run0
call_event_mean-5.19
put_event_mean-5.87
call_win_pct0.01
put_win_pct0.55
call_avgwin92.71
put_avgwin53.1
put_avgloss6.2
quarterKelly0
allocation0
Tail-shape sensitivity: average vessel delay cannot price storage or a stock trade
SimulationsinconclusiveSupply chainMAERSK-B.CO2026-09-06 08:12
Numpy seed9060800; exact script note408, outputs7134/7135. Hypothetical mixture:43.6%late, conditional Gamma mean6.06days, shapes.5/1/2/4; other arrivals zero. For each100000draws, assumed chance>14days ranges.764–5.672%; mean hypothetical40ft storage cost at50USD/day AFTER14days ranges.79–28.18USD despite same targetmean. Maersk OptionA tariff gives mechanical21day40ftstorage350USD,30day800USD; excludes baselinefreight/emergency/otherfees. CRITICAL mapping assumption: vessel lateness is NOT container storage duration, globalJuly is NOT a Gulf customer cohort; these are deliberately uncalibrated sensitivity examples, NOT predicted invoices, port wait distribution, or carrier revenue. Mean cannot identify tail or pricing rent. Maersk published annual freight sensitivity100USD/FFE->700mEBIT maps assumed one-quarter-only uniform effect to175m; seasonal volumes/coverage make simple quarter scaling nonforecast. Existing stock-path MonteCarlo analysis416/strategy420 remains rejected:51.51% conditionalprofitfrequency doesnotjustify sizing. Neither economic simulation gives stock win/loss data; proposedsize0. Sources https://sea-intelligence.com/press-room/406-sharp-reliability-drop-from-asian-port-congestion ; https://www.maersk.com/news/articles/2026/08/31/middle-east-operational-update-44 ; https://www.maersk.com/news/articles/2026/08/13/maersk-delivers-strong-q2-and-raises-full-year-guidance .
paths_per_shape100000
shapes4
mean_delay_target2.64
over14_min_pct0.76
over14_max_pct5.67
mean_storage_min_usd0.79
mean_storage_max_usd28.18
stock_win_probabilityunidentified
quarter_Kellyundefined
proposed_usd0
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