Funds & ETFs

Sector weightings time-series for one ETF

Changed on

Time-series of sector weightings across the last days calendar days. Defaults to the canonical Sugra sector taxonomy (technology, financial-services, healthcare, etc.); pass ?taxonomy=raw for the raw upstream labels (Information Technology, Communication Services, etc.). days is bounded by the 90-day retention window.

get/api/v1/etf/{symbol}/sector-weightings/history

Request

  • Base URL: https://sugra.ai
  • URL: https://sugra.ai/api/v1/etf/{symbol}/sector-weightings/history
  • Auth: API key in header x-api-key

Path parameters

symbolstring required

ETF ticker.

Example:XLK

Query parameters

daysinteger

Lookback window in days (1..90). Out-of-range returns 400 per contract.

taxonomystring

Sector taxonomy: canonical | raw.

Response

Sector weightings time-series payload.

Example response

{
  "data": {
    "days": 30,
    "taxonomy": "canonical"
  },
  "meta": {
    "endpoint": "/api/v1/fred/us/cpi",
    "data_time": "2026-04-16T14:30:00Z",
    "response_time": "2026-04-16T14:30:12Z",
    "provider": "Sugra API v1.0.1",
    "data_age_days": 8.532,
    "source": "sugra_crypto",
    "attribution": "Short interest and Reg SHO daily short volume data is owned by and sourced from FINRA (Financial Industry Regulatory Authority).",
    "fallback_chain": [
      "sugra_crypto",
      "sugra_finance"
    ],
    "stale_since": "2026-09-08T12:00:00Z",
    "period": "2026-Q1",
    "notes": "the UKMTO report behind these counts is dated 2026-08-21 and is 11 days old"
  }
}

Changes