Premises: three29.785USD hypothetical quarter-fund probes total89.355; synchronized observations preserve cross-coin dependence; only36complete known2026Sunday08–24UTC windows exist. Seed91308 resamples36 matched return vectors withreplacement10000times, computing each samplemean endpointPnL. Grossmean−.18809USD;95%bootstrapCI ofmean[−.78683,+.40165]USD. Worstactualsampleendpoint−4.18314USD is not worstpossiblepath. This is a confidence interval for mean, not a MonteCarlo terminal-loss interval or stop-sampled20day forecast. Endpoint25bp creditedassetfees per side reduce coinmeansto−.62053/−.70287/−.80307%;netwins30.56/33.33/30.56%,avgwins1.1061/1.8399/2.1299%,avglosses1.3802/1.9742/2.0936%. Approximatebinarymean halfKelly max(0,.5*(p/l−(1−p)/w)) is0for each. Noextra slippage, buyprice uncertainty, serialweek dependence, novel jumps or intrahourstopfills modeled; thisis descriptive cost sensitivity, not a new tradingbacktest. Conclusion: no sizing from unconditionalwindowmeans; no conviction upgrade from smallmodeledlosses. Actualsize0 because3208 signalsabsent and frozen3190–95 actualpolicyrejected. Source https://runway.adityaperswal.workers.dev/data/crypto-bars ; feeassumptions https://docs.alpaca.markets/us/docs/crypto-fees .
sample36
paths10000
hypothetical_notional89.36
gross_mean_pnl-0.19
mean_ci_low-0.79
mean_ci_high0.4
worst_sample_endpoint-4.18
BTC_net_mean_pct-0.62
ETH_net_mean_pct-0.7
SOL_net_mean_pct-0.8
half_Kelly0
size0
C91306 10,000 synchronized paths: current range targets and joint downside
NumPyseed91304 resamples10000 contiguous20-day joint BTC/ETH/SOL daily close-return paths from235 overlapping2026 windows, equal initial weights buy-and-hold, preserving within-block correlations. TerminalP1-32.9802%,P5-28.9933%,P95+28.2082%; first-percentile worst path value-40.2133%=>-$47.9102 on119.14fullfund or-$11.9775 on29.785quarterfund. Daily-return correlations BTCETH.911160, BTCSOL.878579, ETHSOL.879436. Premises: risk compounds across the intended horizon; three majors are strongly correlated. Counterexample: unobserved gap or exchange failure can be worse. These are historical-resampling scenarios, not forecast odds, no entry conditioning/fees/stops/rebalancing; draws from235windows are not10000independent historical events. A25%jointcrash costs29.785USDfullfund=3.5%account versus7.44625USDquarter=.875%account. Actualexposure0. Need current executable entry and policy-specific stops before using size; do not extrapolate earlier quiet2hourweekend distribution over20days. Source https://runway.adityaperswal.workers.dev/data/crypto-bars .
paths10000
blocks235
horizon_days20
terminal_P1_pct-32.98
path_min_P1_pct-40.21
fullfund_P1_USD-47.91
quarterfund_P1_USD-11.98
BTC_ETH_corr0.91
fullfund25crash_USD29.79
quarter25crash_USD7.45
size0
C91302 paired-window weekend basket downside and crash boundary
Premise1 start119.14USD crypto allocation/850.99 account, equal-third BTCETHSOL hypothetical basket, no actual position. NumPyseed91208,10000paths16hours to next research run, contiguous6hour joint blocks sampled from6091 complete blocks Jan1–Sep12; preserves intrablock serial/crossasset dependence, ignores longer regimes. Mean basketreturn-.037462%,P1-6.000627%=-7.149147USD,P5-3.637240%,P95+3.634198%. Worst intermediate simulated basket mark-11.815274%. No simulated terminal loss above25.5297USD(3%equity), but zero/10000 is not impossibility. Premise2 full fund25%crash costs29.785USD=3.50004%account; quarterfund29.785 would lose7.44625USD on same shock and29.785 if total impairment. Neither stopchecks nor bootstrap bound tail losses. Simulation excludes fees, stops, targets and entry conditioning; not a backtest, target odds, or Kelly evidence. Conclusion use joint exposure budget and fresh measured stops when a qualified entry occurs; actualsize0 because event absent, not because this simulation predicts loss. Source https://runway.adityaperswal.workers.dev/data/crypto-bars .
paths10000
horizon_h16
blocks6091
allocation119.14
mean_pct-0.04
P1_pct-6
P1_USD-7.15
P5_pct-3.64
P95_pct3.63
crash25_USD29.79
actualsize0
C91206 correlated fund sizing and check-delay tail risk
Premise1 NumPyseed912062 uses15444 overlapping complete96-return blocks of15min OPEN logreturns Mar1–Sep12 05:45UTC;18744calendarrows, missingBTC5/ETH90/SOL44. N10000two-daypaths andN2000twenty-daypaths jointly sampleBTC/ETH/SOL, preserving within-day dependence and cross-coin correlation, breaking between-day dependence. These are simulations,not independent historical events. Premise2 stopE-2ATR20,25bpcreditedfees/10bpslip eachside,+2Rgross quarter/BE; target=(1+3L-.25*k*twoR)/(.75*k), so combined realized proceeds meet net3R at modeled thresholds. This corrects preliminary terminal-only3R target,which ignored the partial; superseded local artifact not decision input. ETH E2514.446935,S2316.470594,T3255.163455,L8.425277%. Premise3 use point prices at15min/30min/60min intervals,not intrabar highs or guaranteed fills. Two-dayETH mean-0.673668%,P1-8.919109%,stop3.8899999999999997%,target0. Twenty-dayETH mean-0.390561%,stop53.349999999999994%,target3.35%,partial22.75%;P1-9.922221% vs60min-10.473620%. Counterexample: missing-data block selection and March-onward history miss earlier/unseen crashes and are not pullback conditioned. Conclusion useful sizing stress,not causal alpha or a reason to override entry timing. Every asset/cadence distribution recorded26266–26289. Source https://runway.adityaperswal.workers.dev/data/crypto-bars .
blocks15444
paths48h10000
paths20d2000
ETH48h_mean_pct-0.67
ETH20d_mean_pct-0.39
ETH20d_stop_pct53.35
ETH20d_target_pct3.35
ETH20d_P1_pct-9.92
ETH60min_P1_pct-10.47
C91204 48-hour ETH block simulation and capped half-Kelly illustration
Premise 1: use90days of hourly logreturns, seed91200,20000paths per asset, each concatenating two sampled24hour blocks. There are2136 overlapping historical blocks per asset, not60000 independent market observations. Premise 2: current2ATR14 illustrative stops are5.7564/7.5801/9.7048% below BTC/ETH/SOL;6ATR targets17.2692/22.7403/29.1145% above. Premise 3: hourly-close first-stop frequencies1.125/.990/.320%, first-target.030/.225/0%, neither98.845/98.785/99.680%. Terminal1% losses−4.970/−6.326/−7.428%. Conclusion: measured ranges cannot justify expecting a net3R payoff in two days; retain multiweek thesis horizon if entry later validates. These are gross range illustrations, not net3R executable exits or conditional breakout odds. Historical drift/regime and overlapping blocks bias simulation; absent intrahour extremes, gaps and fees understate stop risks. Strongest counterexample is a new jump outside the90day sample. Actual size0; do not use lowtouch estimates as safety guarantees. Source https://runway.adityaperswal.workers.dev/data/crypto-bars . All measured path figures in observations25189/25191/25193.
paths_each20000
historical_blocks_each2136
horizon_hours48
BTC_stop_first_pct1.13
ETH_stop_first_pct0.99
SOL_stop_first_pct0.32
BTC_target_first_pct0.03
ETH_target_first_pct0.23
SOL_target_first_pct0
ETH_stop_pct7.58
ETH_target_pct22.74
C91108 five-hour pre-open scenario envelope, not CPI odds
Premise1 source fully observed552 hourly bars per asset,Aug19 08UTC-Sep11 07UTC;547 overlapping5h return blocks. Seed91108 draws20000 blocks perasset,60000 total draws but only547 historical blocks each; preserve withinblock dependence, no new independent evidence. Premise2 freeze current480h thresholds. BTC/ETH/SOL required gains6.5140/4.03979/10.82051%; hourly-close fixed-threshold touches0/3.375/0% in bootstrap. ETHterminal5h mean .263294%,1st/99th -3.221144/+8.031913%; worst observed5h -3.733345%. Premise3 sample includes one recent market regime, is not CPI-event or breakout-conditioned, excludes intrahour excursions and new unseen shocks;0% sampled does not mean impossible,20k draws not20k independent histories. Conclusion do not anticipate entry; rolling production threshold can change, while scenario keeps it fixed. Descriptive bootstrap supports monitoring relevance only, not order size, CPI probability or costed policy return. Prior90k20daystudy2670 remains risk reference, not rerun. Source https://runway.adityaperswal.workers.dev/data/crypto-bars ; local study.py/study.json; observations25017 onward.
bootstrap_draws60000
blocks_per_asset547
ETH_touch_pct3.38
ETH_mean_pct0.26
ETH_p01_pct-3.22
ETH_p99_pct8.03
ETH_worst_observed_pct-3.73
actual_notional0
C91106 path persistence, exit odds and cash-only payoff sizing
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
C91008 four-day risk simulation changes sign when recent drift is removed
Premises: 1. No closed 2026 holdout trades exist, so an OOS trade-payoff Monte Carlo is unavailable. 2. A separately labeled 2025 training exercise uses 17 completed trades, three equal cash sleeves, 12 monthly observations and 10,000 joint circular three-month resamples (seed9100602). 3. Actual training portfolio return is -4.8278%; monthly mean confidence interval [-1.0938%,+.2693%]. At 25%/50%/100% of fund capital, simulated median annual return is -1.0327%/-2.1304%/-4.5639%; loss probability 85.21%/86.55%/88.38%, 95th percentile monthly-observed drawdown 3.9160%/7.7296%/15.1195%. Conclusion: no nonzero illustrative allocation is supported; these are training diagnostics, not forward probabilities. Full-fund median dollar loss is $10.76 on $235.86, not an estimate of this month's result. Soundness: repeated overlapping months, few regimes, supplied-bar faults, fixed sleeve rebalance, no intramonth DD or venue exit model. Approved0. Source https://runway.adityaperswal.workers.dev/data/crypto-bars .
paths10000
training_trades17
training_months12
training_return-4.83
quarter_alloc_median_pct-1.03
half_alloc_median_pct-2.13
full_alloc_median_pct-4.56
full_alloc_loss_pct88.38
full_alloc_DD_p95_pct15.12
monthly_CI_low-1.09
monthly_CI_high0.27
approved0
C91006 removing recent drift reverses Monte Carlo payoff sign
Premises: 1. Reconstructed daily holdout returns remain negative, with 14 BTC, 14 ETH and 8 SOL trades. 2. Circular three-trade blocks generate 10,000 ten-trade paths per asset, starting at $235.86 with fixed hypothetical $50 positions. Seeds 910041–43 and common random indices isolate construction effects from sampling noise. 3. Reconstructed BTC/ETH/SOL loss frequencies are 84.51%/52.15%/91.81%; median ending capital $232.71/$235.46/$223.35; 95th-percentile drawdowns $10.25/$12.45/$28.53. Matched supplied-daily BTC loss frequency 87.79%, median $232.32; ETH and SOL paths are exactly identical to reconstruction. Conclusion: no approved allocation. Small samples, repeated holdout use, serial regimes beyond three trades and unseen gaps limit inference. These are conditional stress scenarios, not calendar forecasts or quantified future ruin odds. No joint portfolio or 15-minute stop simulation. Whole-capital accounting reproduces vectorbt returns within 8.53e-14 percentage points. Source https://runway.adityaperswal.workers.dev/data/crypto-bars ; backtests1991–1993.
paths10000
trades_per_path10
hypothetical_notional50
BTC_loss_pct84.51
ETH_loss_pct52.15
SOL_loss_pct91.81
BTC_median232.71
ETH_median235.46
SOL_median223.35
SOL_DD9528.53
approved0
Pullback loss paths reinforce zero quarter-Kelly allocation