Full 11x11 sector correlation matrix with most/least correlated pairs

Code snippets

curl "https://api.oanor.com/sectorcorrelation-api/v1/matrix" \
  -H "x-oanor-key: oanor_test_..."

await fetch("https://api.oanor.com/sectorcorrelation-api/v1/matrix", {
  headers: { "x-oanor-key": "oanor_test_..." }
});

$ch = curl_init("https://api.oanor.com/sectorcorrelation-api/v1/matrix");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$out = curl_exec($ch);

import requests
requests.get(
    "https://api.oanor.com/sectorcorrelation-api/v1/matrix",
    headers={"x-oanor-key": "oanor_test_..."}
)

Example response

A real response from this endpoint, captured by the latest health check.

{
    "data": {
        "to": "2026-06-11",
        "from": "2026-02-02",
        "note": "Full pairwise Pearson correlation of daily log returns across the eleven S&P 500 sectors, aligned on common trading days. High correlations mean the market is moving as one (risk-on/risk-off); low or spread correlations reward rotation and stock-picking. most_correlated pairs double up risk; least_correlated diversify.",
        "matrix": {
            "energy": {
                "energy": 1,
                "materials": -0.11,
                "utilities": -0.013,
                "financials": -0.246,
                "technology": -0.221,
                "health_care": -0.149,
                "industrials": -0.28,
                "real_estate": -0.248,
                "communication": -0.387,
                "consumer_staples": 0.061,
                "consumer_discretionary": -0.464
            },
            "materials": {
                "energy": -0.11,
                "materials": 1,
                "utilities": 0.351,
                "financials": 0.318,
                "technology": 0.446,
                "health_care": 0.416,
                "industrials": 0.747,
                "real_estate": 0.484,
                "communication": 0.335,
                "consumer_staples": 0.272,
                "consumer_discretionary": 0.547
            },
            "utilities": {
                "energy": -0.013,
                "materials": 0.351,
                "utilities": 1,
                "financials": -0.029,
                "technology": -0.131,
                "health_care": 0.318,
                "industrials": 0.327,
                "real_estate": 0.623,
                "communication": 0.032,
                "consumer_staples": 0.434,
                "consumer_discretionary": 0.109
            },
            "financials": {
                "energy": -0.246,
                "materials": 0.318,
                "utilities": -0.029,
                "financials": 1,
                "technology": 0.351,
                "health_care": 0.395,
                "industrials": 0.498,
                "real_estate": 0.409,
                "communication": 0.531,
                "consumer_staples": -0.008,
                "consumer_discretionary": 0.563
            },
            "technology": {
                "energy": -0.221,
                "materials": 0.446,
                "utilities": -0.131,
                "financials": 0.351,
                "technology": 1,
                "health_care": 0.087,
                "industrials": 0.526,
                "real_estate": 0.082,
                "communication": 0.458,
                "consumer_staples": -0.261,
                "consumer_discretionary": 0.629
            },
            "health_care": {
                "energy": -0.149,
                "materials": 0.416,
                "utilities": 0.318,
                "financials": 0.395,
                "technology": 0.087,
                "health_care": 1
…