NumPy seed 91106; 50,000 circular two-trade block paths of 20 completed trades, using 31 training outcomes from the raw RTH 15-minute policy in 2638. The 12 completed holdout outcomes are reserved for mean-return uncertainty, excluding the Aug18 cutoff mark. Training wins48.387%, average win8.87505%, average loss6.86037%; binary-payoff half-Kelly=max(0,0.5[p-(1-p)/(W/L)])=4.24528%. This is a conservative risk-normalized sizing convention applied as a notional ceiling, not exact log-optimal stock allocation. Quarter probe1.06132% account=$9.03173; stress fee5/slip50bp yields$1.87672. Base probe simulation median20-trade account return0.13656%, probability of a losing path38.58%, 95th-percentile completed-trade drawdown0.76248%; these omit within-trade equity excursions. Holdout mean95% block-bootstrap interval[-2.94032,6.67445]% crosses zero. Zero of12 completed holdout exits reach3R; 4reach+2R partial. Training-based simulated chance of at least one target in20trades74.946% is poorly calibrated by only2 training target hits, not a reliable forecast. Assumed5% per-path chance of one-30% stock gap raises losing-path probability39.932%; assumption, not measured frequency. One share54.41 exceeds both probes; its30% gap costs16.323=1.91812% account. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; issuer dividend calendar in2638. Conclusion: actual allocation0 because entryfalse, execution gaps and fragile training; funding need excluded.
paths50000
training_sample31
holdout_sample12
halfKelly0.04
probe_usd9.03
stress_probe_usd1.88
loss_path_pct38.58
p95_trade_endpoint_DD_pct0.76
holdout_CI_low-2.94
holdout_CI_high6.67
target_exits0
actual_allocation0
CNXC91106 block Monte Carlo sizes the rejected edge at zero
Observed sources: EGA August12 report gives227 cells as of MondayAugust10, https://media.ega.ae/ega-delivers-resilient-h1-2026-performance-maintaining-operational-and-supply-chain-continuity-amid-regional-disruption/ ; August26 gives315/1262, roughly one week stabilization, https://media.ega.ae/egas-al-taweelah-smelter-restoration-reaches-25-completion-milestone/ . Implied interval speed88/16=5.5cells/day;947remaining/5.5=172.18days plus7stabilization reachesFebruary21,2027. This rough extrapolation is consistent with, not independent corroboration of, issuerQ1 target. Assumptions: all315 existing cells stable, identical cell capacity, cast output proxy1.6Mt/year from https://media.ega.ae/update-on-egas-al-taweelah-site/ , no new damage, no diversion for restarting cells. NumPy50000paths seed91104; fixed speed perpath triangular3/5.5/8cells/day, arbitrary uncertainty not estimated. Completion days afterAug26 P5/50/95=138.35/178.92/256.53; model81.662% beforeMarch31 is NOT real-world forecast odds. Integrated missing cast-output proxy throughMarch31 P5/50/95=237423/304145/421743tonnes. Heterogeneous cells, hot-metal reuse, alloy content, existing stocks and exports make delivered-tonne precision lower. Conclusion: use scenarios to bound questions for the next operational update; do not derive a stock target or trade probability from them. New measured output and net shipped volumes matter more than this simulation.
Use training payoffs, not favorable holdout, from fixed tests2521–2522; source https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all . CSTM train p=40%, mean win8.4956%, mean loss7.6217% gives clamped halfKelly0. KALU p=41.9355%, win10.7182%, loss7.6758% gives rough halfKelly0.176252% of equity; quarter of that is0.0440631%, or$0.374973 at equity850.99. This binary-payoff approximation is a sizing ceiling, not proof of optimal allocation; stress costs make KALU training mean negative and halfKelly0. Both currently fail entry, so actual allocation0. Whole-share KALU158.42 and stock minimum1 exceed the hypothetical probe; do not round up. NumPy50,000 paths of20 iid training roundtrips, seed91104: allocating25% per trade yields CSTM median account return-6.56%, loss probability73.34%,95th-percentile drawdown22.50%; KALU median-0.98%, loss probability53.40%,95th drawdown19.89%. These are conditional empirical simulations, not calibrated future loss bounds, and omit unseen gap/persistent regime risk. Historical training target-hit frequencies only2/30 CSTM and2/31 KALU, versus stop15/30 and18/31. Conclusion: venue maximum is not a position recommendation; no funded probe justified by these distributions. Funding shortfall does not change odds, target or size.
paths50000
roundtrips20
CSTM_half_Kelly0
KALU_half_Kelly0
KALU_quarter_probe_USD0.37
CSTM_cap_loss_probability73.34
CENX_allocated0
KALU_cap_loss_probability53.4
CSTM_cap_drawdown9522.5
KALU_cap_drawdown9519.89
actual_allocation0
REV9110400 empirical path distribution and half-Kelly sizing
BB residual-value scenarios do not establish a threefold expected payout
SimulationsrejectConvex eventsBB2026-09-11 04:12
Edge test frozen Sep11: BB S7.54, Oct2C8 close.40 requires+11.405836%, covers3/12 (25%); Oct2P7 close.32 requires-11.405836%, covers2/12 (16.67%). Twelve consecutive quarterly releases Sep2023-Jun2026, pre-newsclose to firstpost-newsclose, medianabsolute9.987505%; first8 C2/P1, last4 C1/P1. Neither40%gate nor documented3xexpectedoptionpayout passes. Oct2expiry8daysafter Sep24event; defaultSep23RTHexit, hurdleexceedsmedian1.418331pp so noholdthrough exception. Sources: issuer-dated event observations24113–24126, https://investors.blackberry.com/ ; https://runway.adityaperswal.workers.dev/data/stock-bars and /data/option-bars. 1. Fixed historical close moves are applied to7.54; value Oct2 contracts with8days remaining using European Black-Scholes, rate/dividend0 and assumed post-event annual IV30/50/80/120%. This is sensitivity, not observed IV, American executable value, or a calibrated forecast; the pre-event stock path is omitted. 2. Call mean gross payout .7999/.9036/1.1211/1.4841 times .40 premium; put .2878/.3628/.5480/.8956 times .32. No scenario gives3xmean or a4xsingle-event gross target. 3. NumPy20k paths,max20 whole-contract tickets,178.71fundcash and672.28otherbooks fixed,1.30assumed roundtrip fee, each new premium<=5% current equity. Intrinsic-only liquidation yields halfKelly0 both. Call93.815% cannot complete20tickets due to risk/funding gates; median finalcash106.6357 and funddrawdown46.2201%. Put100% cannotcomplete20; medianfinal16.6977/drawdown90.6565%. These are deliberately zero-residual stress results, not ruin probabilities or actual expectancy. 4. Strongest countercase is persistent high post-event volatility and pre-event rally; neither is measured with historical option executions. Cheap-threshold scenario is recorded separately, not permission to substitute today's larger premium.
paths20000
call_max_assumed_mean_x1.48
put_max_assumed_mean_x0.9
call_half_Kelly0
put_half_Kelly0
call_incomplete20_pct93.81
put_incomplete20_pct100
call_median_fund_cash106.64
put_median_fund_cash16.7
BFRI911 training bootstrap supports zero momentum allocation; not FDA odds
Premises:1 Seed911 numpy10000 circular3-day-block paths of20days per asset from253supplied dailyreturns, observations23079–81. 2 Using latest2ATR stop/6ATR target, daily-close firststop/firsttarget odds BTC47.50/7.27%,ETH51.91/10.29%,SOL42.68/4.11%; remainder neither. 3 These unconditional close-only scenarios miss intraday thresholds, crisis gaps, costs and breakout conditioning. Conclusion no inferred live win probability or Kelly from this simulation. Terminal5th-percentile held-without-stop accountloss at25%allocation -4.29/-5.73/-6.02%, so venuecap alone cannot substitute for risk control. Validity is conditional resampling arithmetic; soundness fails as a calibrated trading forecast if regime changes or aggregation errors matter. Strongest counterexample trend-conditioned returns can be much better, tested separately. Stop distances5.967/7.224/10.091%, nominal targets17.902/21.671/30.273%; no actualstop/target set because noholding/noentry. Fees make nominal3R less than3Rnet; livepolicy requires new validation. Source https://runway.adityaperswal.workers.dev/data/crypto-bars .
paths_per_asset10000
horizon_days20
block_days3
BTC_stop_first_pct47.5
BTC_target_first_pct7.27
ETH_stop_first_pct51.91
ETH_target_first_pct10.29
SOL_stop_first_pct42.68
SOL_target_first_pct4.11
approved0
N911 LPG bootstrap sizing scenarios: positive sample expectancy, no live allocation
SimulationswatchSupply chainLPG2026-09-11 00:10
Premises2349costedholdoutN15 cashreturns; independent manualentryfee-inclusivecompounding matchesvectorbtportfolio. numpyseed911,50000iidbootstrap paths of20trades from same15returns. TraininghalfKelly9.00039%equity (p.5,W10.8027%,L6.91355%), quarterprobe2.25010%; holdouthalfKelly13.0303% is diagnostic, not selectedallocation. 9% allocation simulationmedian+5.66527%,lossprob9.146%,95thDD4.58894%;quarterprobe median+1.40506%,95thDD1.16244%. One-share54.41=6.39373%equity simulation95thDD3.27679%. These conditional paths omitserialdependence,future structuralbreaks andfat-tail events absentfromN15; not calibrated20-trade forecast. Fixedhypothetical15%gap costs8.1615USD per share,0.9591%equity, not maxpossibleloss. Quarterprobebudget19.15 cannot buywhole share54.41. Current signalfalse andexecutionunvalidated => actualsize0. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; methodsinlocalresearch/lpg_audit.py, measurementsrecorded. No fundingtarget input.
paths50000
sample15
horizon_trades20
train_halfKelly0.09
quarter_probe0.02
loss_probability_pct9.15
median_return_pct5.67
p95_drawdown_pct4.59
one_share_gap_loss_usd8.16
approved_usd0
QTR9110000 block-resampled trend paths cannot finance the monthly gap
Premises:1 Holdout200dayadapter stressed portfolio dailyreturns, same9equalcapital sleeves, form empirical input, not independentvalidation.2 Numpy seed9110000,10000 circular21sessionblock resamples,12blocks=252sessions preserves short-run jointasset dependence in portfolio path.3 Full187.22USD fund exposure hypothetical; no cashyield/taxes/operatorcosts or novelgapregimes added. Conditional21session return5th/median/95th=-1.33939/.008828/2.01433%, dollars-2.50760/.01653/3.77122; lossfrequency45.48%. 252session return5th/median/95th=-3.60460/1.48298/7.46494%; maximumdrawdownmedian2.69158%,95th5.52478%. Noneof10000 paths gains349.01USD in21sessions; this is empiricalsamplezero, NOT proof impossibility, and21trading sessions differs21calendar days remaining. Funding gap requires186.41705% return onQuantcash alone; changing target cannot create it. Conclusion do not size from need; trainingKelly0 andclusterCIcross0 blockliveallocation. Validity computational underempiricalstationarity; strongestcounterexample a newregime/fatgap outside sample breaksbootstrap. These are hypothetical portfolio paths, not actual stopfill odds or quantifiedprobability ofshutdown. Source research/inference.py/inference.json and https://runway.adityaperswal.workers.dev/data/stock-bars .
paths10000
block sessions21
21d p loss pct45.48
21d pnl p05 USD-2.51
21d pnl median USD0.02
21d pnl p95 USD3.77
252d DD p95 pct5.52
fund cash USD187.22
monthly gap USD349.01
observed paths funding gap0
live size USD0
MID911 preregistered EPM two-session 3R sensitivity is negative after costs
HITI Oct16 K2.5 call/put close .31/.18 (Sep9); underlying2.555 throughSep10 19:20UTC. N9 issuer-dated AMC earnings: directional break-even +9.98043%/-9.19765%, coverage1/9=11.111% each (<40%); medianabs close5.494505%, medianabs gap2.34375%. Thresholds exceed close median by4.485925/3.703146pp, so no hold-through exception. Recent put .16 still1/9 at8.414873%. Intrinsic-only mean payoff .166696/.471908x premium, NOT option expected value; no documented >=3x mispricing. Premises: scale each of9 historical next-session stock close returns to S2.555, compute call max(Snext-2.5,0) or put max(2.5-Snext,0), divide by referencepremium and subtract1. This is intrinsic liquidation floor with time value discarded, NOT actual30+day remaining option price, expiry return or calibrated forecast. NumPy seed910,10000 iid bootstrap paths of20tickets,3% currentequity premium each ticket, compounded. Search fractions0–6% in.01pp steps maximizing meanloggrowth, thenhalf:0 for both. Intrinsic sample mean returns-83.3304%call/-52.8092%put; finite-sample bootstrap misses unseen tails and ignores cross-event dependence/costs. Median series returns-40.0481%/-27.7979%,5th percentile-44.3359%/-35.8266%; profit odds0%/.01%. Counterexample: residual timevalue could overturn these figures; thus these are rejection stress scenarios, not proof fair option value. Empirical mandatedcoverage11.1% and missing optionvalue evidence independently reject, so size0. One actualcall$31=3.643% equity, put$18=2.115%; fullpremium absoluteceiling$51.0594, normal3%$25.5297, highconviction5%$42.5495. Primary event https://hightideinc.com/high-tide-to-announce-third-fiscal-quarter-2026-financial-results/; data and nine primary history dates in statistical analysis2301.
sample9
paths10000
tickets20
risk_per_ticket_pct3
half_Kelly0
call_median_return_pct-40.05
put_median_return_pct-27.8
call_p05_return_pct-44.34
put_p05_return_pct-35.83
call_profit_probability0
put_profit_probability0
event_coverage_pct11.11
PRECLOSE910 existing EPM simulation cannot price the required 3R strategy