ZeqRisk — Risk Modeling

Risk modeling using chaotic systems and statistical mechanics operators. Monte Carlo simulations on the Zeqond grid — every simulation step is timestamped and verifiable.

Endpoint	POST /api/finance/risk/model
Auth	api-key
Rate limit	20/min
Category	finance

Parameters

Name	Type	Required	Description
portfolio	array	Yes	Array of { asset, weight, volatility }.
horizonDays	number	No	Risk horizon in days. Default: 252 (1 year).
simulations	number	No	Monte Carlo runs (100–10000). Default: 1000.
confidenceLevel	number	No	VaR confidence (0.90–0.999). Default: 0.95.

Returns

{ valueAtRisk, conditionalVaR, sharpeRatio, maxDrawdown, correlationMatrix, simulated }

Example

curl -sS -X POST \
  -H "Authorization: Bearer zsm_..." \
  -H "Content-Type: application/json" \
  -d '{
  "portfolio": [],
  "horizonDays": 252,
  "simulations": 1000,
  "confidenceLevel": 0.95
}' \
  "https://zeqsdk.com/api/finance/risk/model"

This protocol is a named building block — one of the operations you compose inside a state contract. Call it directly with the request above, or invoke it from a contract that fires on your machine's clock. Browse the whole library at GET /api/protocols; fetch this one at GET /api/protocols/zeq-risk.