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GET /v1/screener

Cross-asset board with fully aligned trends ranked by alignment score

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10 free calls per day — no sign-up, no API key. Goes through the oanor gateway.

Custom headers (optional)
api.oanor.com/multiassetmomentum-api

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Code snippets

curl "https://api.oanor.com/multiassetmomentum-api/v1/screener" \
  -H "x-oanor-key: oanor_test_..."
await fetch("https://api.oanor.com/multiassetmomentum-api/v1/screener", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
$ch = curl_init("https://api.oanor.com/multiassetmomentum-api/v1/screener");
curl_setopt($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/multiassetmomentum-api/v1/screener",
    headers={"x-oanor-key": "oanor_test_..."}
)

Example response

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

{
    "data": {
        "note": "Each market's trailing return over 1w/1m/3m/6m/12m, the direction of each, and an alignment_score from -5 (all down) to +5 (all up). A fully aligned trend (all five timeframes agreeing) is the strongest, most coherent signal; a mixed score means the trend is choppy or turning. Sorted by alignment_score (most bullish first).",
        "class": "sector",
        "assets": [
            {
                "key": "health_care",
                "class": "sector",
                "label": "Health Care",
                "coherence": "fully aligned up (every timeframe rising)",
                "directions": {
                    "1m": "up",
                    "1w": "up",
                    "3m": "up",
                    "6m": "up",
                    "12m": "up"
                },
                "returns_pct": {
                    "1m": 5.65,
                    "1w": 1.32,
                    "3m": 2.62,
                    "6m": 2.75,
                    "12m": 12.63
                },
                "timeframes_up": 5,
                "alignment_score": 5,
                "timeframes_down": 0
            },
            {
                "key": "real_estate",
                "class": "sector",
                "label": "Real Estate",
                "coherence": "fully aligned up (every timeframe rising)",
                "directions": {
                    "1m": "up",
                    "1w": "up",
                    "3m": "up",
                    "6m": "up",
                    "12m": "up"
                },
                "returns_pct": {
                    "1m": 0.76,
                    "1w": 1.17,
                    "3m": 6.6,
                    "6m": 10.91,
                    "12m": 6.37
                },
                "timeframes_up": 5,
                "alignment_score": 5,
                "timeframes_down": 0
            },
            {
                "key": "technology",
                "class": "sector",
                "label": "Technology",
                "coherence": "leaning up",
                "directions": {
                    "1m": "up",
                    "1w": "down",
                    "3m": "up",
                    "6m": "up",
                    "12m": "up"
                },
                "returns_pct": {
                    "1m": 4.57,
                    "1w": -5.16,
                    "3m": 32.91,
                    "6m": 23.77,
                    "12m": 51.06
                },
                "timeframes_up": 4,
                "alignment_score": 3,
                "timeframes_down": 1
            },
            {
                "key": "financials",
                "class": "sector",
                "label": "Financials",
                "coherence": "leaning up",
                "directions": {
                    "1m": "up",
                    "1w": "up",
                    "3m": "up",
                    "6m": "down",
                    "12m": "up"
      
…