CME delta-ladder optimization

Use the same margin and optimization calls as the trade-level cleared-rates workflow, but replace swaps with DV01 ladder rows.

payload = {
    "calculation_type": "margins",
    "portfolio": [
        {
            "account_code": "CME_RATES_LADDER",
            "exchange_code": "CME",
            "contract_code": "SR3",
            "contract_type": "FUT",
            "contract_expiry": "MAR-28",
            "net_position": 250,
            "account_type": "H",
        },
        {"account_code": "CME_RATES_LADDER", "index": "USD_SOFR_1D_ERS", "tenor": "365D", "dv01": -42000},
        {"account_code": "CME_RATES_LADDER", "index": "USD_SOFR_1D_ERS", "tenor": "1826D", "dv01": 78000},
    ],
}
baseline = requests.post(f"{C9_API_ENDPOINT}/portfolios", headers=HEADERS, json=payload).json()
payload["portfolio"][0]["cross_margin"] = True
optimized = requests.post(f"{C9_API_ENDPOINT}/portfolios/optimize", headers=HEADERS, json=payload).json()

The optimizer response is identical to the trade-level workflow. Compare total margin and inspect the recommended lots moved into cleared rates.

Use GET /validation-reference/ladder-reference to discover valid indices and CME CORE tenors.

Open the complete Python example.

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