Premises:1 Value surplus must translate to realizable exits.2 Stops cannot guarantee full-premium loss limits or overnight execution.3 Conditional simulation is not empirical option p/W/L. Numpy seed2026090805, 2puts x3physicalforecasts x2IVstates x30000=360000paths. Model five sessionsSep8–14 at FridayS15.19/ask.07 (counterfactual Tuesday quote). Physical daily variance sigma²/252 from base/clip/RV60; paired Gaussian overnight/intraday logtotals normalized to measured second moments .000665257/.001140850 with crossmoment-.0000679354; Cholesky covariance, intraday Brownian bridge26quarters, first overnight skipped, -.5dailyvariance logdrift applied intraday. Initial quote check plus26quarterhour checks/day; cannot sell overnight. EuropeanBS bid approximation with remaining calendarT,r.04,q0, frozen FridayIV or .8IV, less halfFriday spread floored0; American exercise premium and changing spread/skew omitted, so not validated execution model. Targets from Sept14bid at S-2ATR=13.272343 using originalIV: floor to cents .15/.16, not fitted for return. Diagnostic stop.03, fee$.20roundtrip assumed. Fullrisk$7.20, targets net$7.80/$8.80 -> fullrisk reward1.083/1.222; nominal stoprisk$4.20 would imply1.857/2.095 but ignores gaps and spread. Oct2 initial Fridaybid.01 is already belowstop.03; initial modelbid also fails, all6scenarios immediately stop. These p=0 outcomes diagnose an incoherent entry/stop combination, NOT forecast certainty of loss; never deploy that stop. Oct16 baseline conditional p.263733,W$9.669162,L$4.484038,mean-$0.751367; clipping mean-$1.35568,RV60-$1.489095. Capping favorable exit overshoots at target lowers means further to-1.10214/-1.56129/-1.66335. .8IV causes initial repricing stop, not proof IV will drop. Every12conditionalmeannegative; quarterKelly truncated0 (actual empiricalp/W/L remains UNKNOWN). Costs0/$1.30 would shift eachmean +.20/-1.10, stillnegative. Targets already use2ATR bearish movement within5sessions; do not increase them to meet funding need. Exactscenario p/W/L,stophits,targethits stored. Source https://runway.adityaperswal.workers.dev/data/option-chain/PATH?feed=indicative ; https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PATH&feed=sip ; local research/sim.py .
paths360000
scenarios12
Oct2_target0.15
Oct16_target0.16
Oct16_base_p0.26
Oct16_base_W9.67
Oct16_base_L4.48
Oct16_base_mean-0.75
Oct16_clipped_mean-1.36
negative_scenarios12
full_premium_fee7.2
allocation0
Conditional option exits: apparent positive expectancy depends on target overshoots
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
FRO Monte Carlo cross-check: dividend parity holds in the European diagnostic; no sizing edge
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
XLF base-hit exit simulations reject both baseline and favorable-model candidates
Premises:1 mark exits at bids after fees;2 target must fit measured range and reward/risk;3 Monte Carlo precision is conditional model precision, not empirical edge. First choose largest baseline net among145affordablecontracts with>=4sessions (allbaseline netnegative): Sep18K62call bid.01ask.02. Two-session1.5ATR14 rise=.987857 gives modeledbid target .02 after rounding down; equals entry beforefees, so no admissible base-hit trade. stop0 is only zero-bid diagnostic, not a recommended venue exit. Blend100kpath mean-$1.462946, win10.301%,avgwin$.165684,avgloss$1.649978;HARmean-$1.225398;low-$1.661492 at$.20assumedfee. Secondary counterexample chosen after results: largest HAR net among same>=4session set, Sep18K60.5call bid.04ask.07. S58.10,K60.5,n9sessions,r.04,q.0138,midcalibratedmarkIV.145572289,halfspread.015. Two-session1.5ATR move gives rawbid.119338,target roundeddown.11;stop.03. Target profit beforefee$4 againstpremium$7, already below1.5RR; with$.20cost 3.80/7.20=.52778, also below1.5 usingplanned$4stoploss. No trade. NumPyseed2026090606,100000paths,52steps; dt=1/(252*26),dlogS=-.5sigma²dt+sigma sqrt(dt)Z, common draws acrossscenarios. Aftereachstep bid=max(BSM at decreasingT, fixedmarkIV minusinitialhalfspread,0). First stop/target hit exits at observed modeledbid; rest end2sessions. Blend physicalvol12.30249%: win11.486%,avgwin$4.39266,avgloss$4.47374,mean-$3.45535,stop86.398%,target10.609%,time2.993%. HAR15.99295%: win15.786%,avgwin4.84070,avgloss4.61075,mean-3.11874,stop83.762%,target15.578%. Low9.84199%mean-3.73230. Fee$1.30 instead$.20 reduces eachmean$1.10; all12scenarios qKelly=max(0,(p-(1-p)/(W/L))/4)=0. Fullpremium7+1.30=8.30 affordable, but allocation0. Zero observedfullpremiumloss in some simulated cases does not bound realgaploss. Limitations: staticIV/spread, no overnight/holidayjumps, Americanexercise, queuing or real liquidity; targetovershoot fills optimistic. Actual option backtestN0. No removal/widening of exits to rescuemean. Source https://runway.adityaperswal.workers.dev/data/option-chain/XLF?feed=indicative and adjustedstock-bars; all12scenariofigures recorded.
paths_each100000
steps52
scenarios12
call605_stop0.03
call605_target0.11
call605_premium7
net_target_fullrisk_RR0.53
blend_mean-3.46
HAR_mean-3.12
low_mean-3.73
quarterKelly0
actual_option_sample0
NFLX cheap put: base-hit exits erase the optimistic terminal mean