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HALOWERK Monte-Carlo Bootstrap Streuung
x402
HALOWERK Monte-Carlo Bootstrap Streuung is a paid API for AI agents from handel.halowerk.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-17).
Runs reproducible bootstrap Monte Carlo simulations on caller-supplied cash P&L results to compute equity-curve spread distributions.
Price / call$0.005
Success—
StatusUnknown
How this service works
Reproduzierbare Bootstrap-Streuung. Zieht mit Zurücklegen aus gelieferten Cash-Ergebnissen; Seed zwingend, höchstens 500.000 Ziehungen. Streuung ist keine Prognose. Alle Zahlen, Kurse und Vorgaben liefert der Aufrufer. Keine eigenen Kursdaten, kein Brokerzugriff, keine Ausführung. Rechenwerkzeug, keine Anlageberatung, keine Empfehlung.
Output
Returns a distribution of simulated equity curves based on bootstrap resampling with replacement from the provided P&L array, including spread statistics such as percentile bands, min/max paths, and drawdown metrics across all simulation paths. No market data or broker access is involved; all numbers are derived purely from the caller-supplied inputs.
Example use cases
Drawdown risk assessment for live strategy
“I want to see how bad the drawdown on my strategy could realistically get — I have 350 past trade P&L values in dollars, run 1000 simulations of 100 trades each with initial equity $50,000 and seed 7 so the results are reproducible.”
Equity curve fan chart for backtested system
“Can you bootstrap my backtest P&L results to show the spread of possible equity curves? I have 500 trades with cash results, simulate 800 paths of 60 trades from a $25,000 starting equity, use seed 123.”
Probability of ruin analysis for new trading account
“I need to estimate whether my $5,000 account could survive based on my last 80 trades — please run a Monte Carlo bootstrap with 600 simulations of 40 trades each, seed 99, using the cash P&L figures I'll provide.”
Technical details
Endpoint
POSThttps://handel.halowerk.com/v1/rechner/monte-carlo?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need reproducible, seed-controlled bootstrap Monte Carlo analysis on your own pre-computed P&L cash figures without needing market data feeds, broker connectivity, or forecasting. Ideal for quantitative analysts and trading system developers who want statistical spread analysis of historical trade results and need deterministic repeatability via seed. Not suitable for real-time price-based simulation, portfolio optimization, or trade execution.
Side effects
- Seed value exceeds maximum (2147483647) — validation error
- pnl_cash array is empty or exceeds 5000 items — schema validation error
- simulations count exceeds 1000 — rejected
- trade_count or initial_equity out of allowed range — rejected
- Missing required field (seed or pnl_cash) — 400 bad request
- Payment not included or insufficient USDC — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| seed | integer | |
| pnl_cash | array | |
| simulations | integer | |
| trade_count | integer | |
| initial_equity | number |
Tags
x402
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