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Constituent History: 0+ Years
Quant Scores: Daily
Exchange Traded Products: 0k+

ETF Global + Polygon

Fund manager precision, developer craftsmanship

Build intelligent ETF trading strategies with ETF Global's meticulously tracked fund data delivered through Polygon's developer-first APIs. Access comprehensive analytics, constituents, fund flows, and taxonomy data with the reliability and speed to transform your boldest ideas into winning strategies.

// Constituents
import requests

API_KEY = "YOUR_API_KEY"
URL = "https://api.polygon.io/etf-global/v1/constituents"
PARAMS = {
    "composite_ticker": "SPY",
    "limit": 100,
    "apiKey": API_KEY
}

response = requests.get(URL, params=PARAMS)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"Request failed with status {response.status_code}")
    print(response.text)

Rows of Data: 0 Trillion+
Raw Data: 0 Petabytes
Uptime: 0%
Messages/sec: 0 Million

Profiles & exposure

ETF Global Profile Data

Get detailed fund profiles

Access comprehensive ETF metadata to power business intelligence platforms, client advisory tools, and institutional research. Complete fund profiles with detailed exposure analysis for internal workflows and client-facing applications.

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// GET https://api.polygon.io/etf-global/v1/profiles?composite_ticker=SPY
{
    "status": "OK",
    "request_id": 1,
    "count": 1,
    "results": [
      {
        "processed_date": "2025-01-02",
        "effective_date": "2025-01-02",
        "composite_ticker": "SPY",
        "issuer": "SSgA",
        "description": "SPDR S&P 500 ETF Trust",
        "inception_date": "1993-01-22",
        "primary_benchmark": "S&P 500 Index",
        "tax_classification": "Regulated Investment Company",
        "product_type": "etf",
        "aum": 6.2453193944266e11,
        "avg_daily_trading_volume": 51287737.3,
        "asset_class": "Equity",
        "category": "Size and Style",
        "focus": "Large Cap",
        "development_class": "Developed Markets",
        "region": "North America",
        "leverage_style": "unleveraged",
        "levered_amount": 0.0,
        "management_classification": "passive",
        "administrator": "State Street Bank and Trust Company",
        "advisor": "SSgA Funds Management, Inc.",
        "custodian": "State Street Bank and Trust Company",
        "distributor": "ALPS Distributors, Inc.",
        "transfer_agent": "State Street Bank and Trust Company",
        "trustee": "State Street Global Advisors Trust Company",
        "fiscal_year_end": "31-Aug",
        "distribution_frequency": "Q",
        "listing_exchange": "NYSE Arca, Inc.",
        "creation_unit_size": 50000.0,
        "creation_fee": 3000.0,
        "geographic_exposure": {
          "us": 0.967,
          "ie": 0.021,
          "ch": 0.003,
          "nl": 0.001,
          "bm": 0.001,
          "lr": 0.001,
          "je": 0.001,
          "pa": 0.001
        },
        "currency_exposure": {
          "usd": 1.003
        },
        "sector_exposure": {
          "technology": 0.321,
          "financials": 0.131,
          "consumer_discretionary": 0.113,
          "health_care": 0.099,
          "communications": 0.094,
          "industrials": 0.068,
          "consumer_staples": 0.054,
          "energy": 0.032,
          "utilities": 0.022,
          "real_estate": 0.02,
          "materials": 0.013,
          "cash_or_derivatives": 0.003
        },
        "industry_group_exposure": {
          "software_and_services": 0.12,
          "semiconductors_and_semiconductor_equipment": 0.115,
          "media_and_entertainment": 0.084,
          "technology_hardware_and_equipment": 0.084,
          "retailing": 0.065,
          "diversified_financials": 0.058,
          "pharmaceuticals_biotechnology_and_life_sciences": 0.053,
          "health_care_equipment_and_services": 0.046,
          "capital_goods": 0.045,
          "insurance": 0.035,
          "banks": 0.033,
          "energy": 0.032,
          "automobiles_and_components": 0.024,
          "food_beverage_and_tobacco": 0.023,
          "utilities": 0.022,
          "real_estate": 0.02,
          "consumer_services": 0.02,
          "food_and_staples_retailing": 0.018,
          "materials": 0.013,
          "transportation_and_logistics": 0.012,
          "household_and_personal_products": 0.011,
          "telecommunication_services": 0.009,
          "consumer_durables_and_apparel": 0.007,
          "commercial_and_professional_services": 0.005,
          "cash_or_derivatives": 0.003,
          "transportation": 0.002
        },
        "industry_exposure": {
          "semiconductors_and_semiconductor_equipment": 0.115,
          "software": 0.101,
          "specialty_retail": 0.082,
          "communications_equipment": 0.081,
          "media": 0.077,
          "biotechnology": 0.047,
          "insurance": 0.035,
          "banks": 0.033,
          "oil_gas_and_consumable_fuels": 0.031,
          "health_care_equipment_and_supplies": 0.031,
          "diversified_financial_services": 0.029,
          "capital_markets": 0.029,
          "automobiles": 0.024,
          "utilities": 0.022,
          "it_services": 0.021,
          "real_estate_management_and_development": 0.018,
          "health_care_providers_and_services": 0.018,
          "hotels_restaurants_and_leisure": 0.014,
          "machinery": 0.013,
          "household_products": 0.011,
          "aerospace_and_defense": 0.011,
          "beverages": 0.011,
          "diversified_telecommunication_services": 0.009,
          "electrical_equipment": 0.009,
          "entertainment": 0.008,
          "chemicals": 0.007,
          "transportation_infrastructure": 0.006,
          "food_products": 0.006,
          "tobacco": 0.006,
          "industrial_conglomerates": 0.005,
          "diversified_consumer_services": 0.005,
          "household_durables": 0.004,
          "commercial_services_and_supplies": 0.004,
          "air_freight_and_logistics": 0.004,
          "road_and_rail": 0.003,
          "cash_or_derivatives": 0.003,
          "health_care_technology": 0.003,
          "textiles_apparel_and_luxury_goods": 0.003,
          "metals_and_mining": 0.003,
          "building_products": 0.002,
          "trading_companies_and_distributors": 0.002,
          "airlines": 0.002,
          "electronic_equipment_instruments_and_components": 0.001,
          "equity_real_estate_investment": 0.001,
          "containers_and_packaging": 0.001,
          "hotels,_restaurants_and_leisure": 0.001,
          "construction_materials": 0.001,
          "distributors": 0.001,
          "construction_and_engineering": 0.001,
          "technology_hardware_storage_and_peripherals": 0.001,
          "consumer_products": 0.001,
          "renewable_energy": 0.001,
          "leisure_products": 0.0,
          "auto_components": 0.0
        },
        "subindustry_exposure": {
          "semiconductors": 0.115,
          "communications_equipment": 0.081,
          "systems_software": 0.078,
          "interactive_media_and_services": 0.067,
          "biotechnology": 0.047,
          "internet_and_direct_marketing_retail": 0.043,
          "diversified_banks": 0.033,
          "consumer_finance": 0.029,
          "property_and_casualty_insurance": 0.027,
          "application_software": 0.024,
          "automobile_manufacturers": 0.024,
          "reit": 0.019,
          "hypermarkets_and_super_centers": 0.016,
          "integrated_oil_and_gas": 0.014,
          "health_care_equipment": 0.014,
          "life_sciences_tools_and_services": 0.014,
          "electric_utilities": 0.013,
          "managed_health_care": 0.013,
          "home_improvement_retail": 0.012,
          "movies_and_entertainment": 0.012,
          "household_products": 0.011,
          "aerospace_and_defense": 0.011,
          "it_consulting_and_other_services": 0.011,
          "soft_drinks": 0.01,
          "investment_banking_and_brokerage": 0.01,
          "restaurants": 0.009,
          "alternative_carriers": 0.009,
          "electrical_components_and_equipment": 0.009,
          "oil_and_gas_exploration_and_production": 0.007,
          "asset_management_and_custody_banks": 0.006,
          "multiutilities": 0.006,
          "financial_exchanges_and_data": 0.006,
          "tobacco": 0.006,
          "packaged_foods_and_meats": 0.006,
          "construction_machinery_and_heavy_trucks": 0.006,
          "data_processing_and_outsourced_services": 0.006,
          "industrial_conglomerates": 0.005,
          "industrial_machinery": 0.005,
          "highways_and_railtracks": 0.005,
          "apparel_retail": 0.005,
          "insurance_brokers": 0.005,
          "security_and_alarm_services": 0.004,
          "oil_and_gas_storage_and_transporta": 0.004,
          "specialty_chemicals": 0.004,
          "hotels_resorts_and_cruise_lines": 0.004,
          "internet_services_and_infrastruc": 0.004,
          "cable_and_satellite": 0.004,
          "health_care_services": 0.004,
          "automotive_retail": 0.004,
          "air_freight_and_logistics": 0.004,
          "trucking": 0.004,
          "life_and_health_insurance": 0.003,
          "cash_or_derivatives": 0.003,
          "health_care_distributors": 0.003,
          "health_care_supplies": 0.003,
          "apparel_accessories_and_luxury": 0.003,
          "oil_and_gas_refining_and_marketing": 0.003,
          "environmental_and_facilities_services": 0.003,
          "homebuilding": 0.002,
          "technology_hardware_storage_and_peripherals": 0.002,
          "building_products": 0.002,
          "agricultural_and_farm_machinery": 0.002,
          "diversified_chemicals": 0.002,
          "research_and_consulting_services": 0.002,
          "general_merchandise_stores": 0.002,
          "trading_companies_and_distributors": 0.002,
          "airlines": 0.002,
          "oil_and_gas_equipment_and_services": 0.002,
          "food_retail": 0.002,
          "health_care_facilities": 0.001,
          "independent_power_producers_and_energy_traders": 0.001,
          "construction_materials": 0.001,
          "diversified_support_services": 0.001,
          "precious_metals_and_minerals": 0.001,
          "agricultural_products": 0.001,
          "consumer_electronics": 0.001,
          "specialty_stores": 0.001,
          "construction_and_engineering": 0.001,
          "diversified_metals_and_mining": 0.001,
          "steel": 0.001,
          "distillers_and_vintners": 0.001,
          "heavy_electrical_equipment": 0.001,
          "real_estate_services": 0.001,
          "fertilizers_and_agricultural_che": 0.001,
          "leisure_products": 0.001,
          "paper_packaging": 0.001,
          "electronic_components": 0.001,
          "casinos_and_gaming": 0.001,
          "railroads": 0.001,
          "metal_and_glass_containers": 0.001,
          "renewable_energy_equipment": 0.001,
          "commodity_chemicals": 0.001,
          "advertising": 0.001,
          "water_utilities": 0.0,
          "gas_utilities": 0.0,
          "leisure_facilities": 0.0,
          "electronic_equipment_and_instruments": 0.0,
          "electronic_manufacturing_services": 0.0,
          "reinsurance": 0.0,
          "publishing_and_broadcasting": 0.0,
          "distributors": 0.0,
          "brewers": 0.0,
          "auto_parts_and_equipment": 0.0,
          "drug_retail": 0.0
        },
        "options_available": 1,
        "options_volume": 9346839.0,
        "short_interest": 106750000.0,
        "put_call_ratio": 0.948338,
        "num_holdings": 504.0,
        "discount_premium": 0.136123,
        "bid_ask_spread": 0.000042,
        "put_volume": 4549500.0,
        "call_volume": 4797339.0,
        "management_fee": 0.0945,
        "other_expenses": 0.0,
        "total_expenses": 0.0945,
        "fee_waivers": 0.0,
        "net_expenses": 0.0945,
        "lead_market_maker": "None"
      }
    ]
}

Track exposure across multiple dimensions

Monitor portfolio allocation over time with comprehensive exposure data from the Profiles & Exposure endpoint. Track industry, industry group, subindustry, sector, and geographic breakdowns to understand fund positioning and risk concentration as it evolves.

Capital flow insights

ETF Global Fund Flows

Track daily inflows and outflows

Monitor ETF capital movements with institutional-grade precision for trading strategies, market research, and client advisory services. Understand investor behavior and market sentiment at scale across your business operations.

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// GET https://api.polygon.io/etf-global/v1/fund-flows?composite_ticker=SPY
{
  "status": "OK",
  "request_id": 1,
  "count": 1,
  "results": [
      {
          "processed_date": "2025-01-29",
          "effective_date": "2025-01-29",
          "composite_ticker": "SPY",
          "shares_outstanding": 1047232116.0,
          "nav": 601.877341,
          "fund_flow": -30235124.7
      },
      {
          "processed_date": "2025-01-30",
          "effective_date": "2025-01-30",
          "composite_ticker": "SPY",
          "shares_outstanding": 1042582116.0,
          "nav": 605.0574,
          "fund_flow": -2798729635.65
      },
      {
          "processed_date": "2025-01-31",
          "effective_date": "2025-01-31",
          "composite_ticker": "SPY",
          "shares_outstanding": 1037032116.0,
          "nav": 602.044248,
          "fund_flow": -3358068570.0
      }
  ]
}

Monitor investor sentiment through capital flows

Track cumulative fund flows to understand investor behavior and market trends. Analyze net inflows and outflows over time to identify patterns in creation and redemption activity.

Complete holdings transparency

ETF Global Constituents

Access complete ETF holdings data

Power your business with complete transparency into ETF holdings and composition data. Build sophisticated portfolio management and client reporting capabilities with detailed constituent information designed for institutional applications.

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// GET https://api.polygon.io/etf-global/v1/constituents?composite_ticker=SPY
{
  "status": "OK",
  "request_id": 1,
  "count": 1,
  "results": [
    {
        "processed_date": "2025-09-19",
        "effective_date": "2025-09-18",
        "composite_ticker": "SPY",
        "constituent_ticker": "CZR",
        "constituent_name": "CAESARS ENTERTAINMENT INC COMMON STOCK",
        "weight": 0.0000958005,
        "market_value": 63308625.6,
        "us_code": "12769G100",
        "isin": "US12769G1004",
        "figi": "BBG0074Q3NK6",
        "sedol": "BMWWGB0",
        "country_of_exchange": "US",
        "shares_held": 2398054.0,
        "asset_class": "Equity",
        "security_type": "Common Stock",
        "currency_traded": "USD"
    }
  ]
}

Analyze fund composition

Access the top holdings that make up the fund's portfolio. Track position weights and concentration to understand diversification and identify key exposures across the fund's largest positions.

Strategic classification

ETF Global Expanded Taxonomies

Navigate the ETF universe

Build sophisticated ETF screening and analysis tools with detailed classification and categorization systems. Power client-facing screeners, research platforms, and advisory tools with comprehensive strategic classification capabilities.

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// GET https://api.polygon.io/etf-global/v1/taxonomies?composite_ticker=SPY
{
  "status": "OK",
  "request_id": 1,
  "count": 1,
  "results": [
    {
      "processed_date": "2025-09-19",
      "effective_date": "2025-09-19",
      "composite_ticker": "SPY",
      "issuer": "SSgA",
      "description": "SPDR S&P 500 ETF Trust",
      "inception_date": "1993-01-22",
      "primary_benchmark": "S&P 500 Index",
      "tax_classification": "Regulated Investment Company",
      "product_type": "etf",
      "asset_class": "Equity",
      "category": "Size and Style",
      "focus": "Large Cap",
      "development_class": "Developed Markets",
      "region": "North America",
      "country": "U.S.",
      "strategic_focus": "Factor",
      "targeted_focus": "Size",
      "objective": "Index-Tracking",
      "selection_universe": "U.S. Large Caps",
      "weighting_methodology": "Modified Market Capitalization-Weighted",
      "rebalance_frequency": "Quarterly",
      "selection_methodology": "Modified Market Cap, Fundamental Multifactor, Liquidity",
      "reconstitution_frequency": "Quarterly",
      "management_style": "Passive - Representative Sampling",
      "holdings_disclosure_frequency": "Daily",
      "factor": "Size",
      "exposure_mechanism": "Blended Replication",
      "leverage_style": "unleveraged",
      "levered_amount": 0.0,
      "management_classification": "passive",
      "us_code": "78462F103",
      "isin": "US78462F1030"
    }
  ]
}

Navigate ETF classifications with detailed taxonomy

Explore comprehensive classification and categorization systems that define ETF characteristics. From asset allocation to operational structure, understand the complete taxonomy that powers investment screening and analysis.

Comprehensive risk analysis

ETF Global Proprietary Analytics

Access comprehensive risk and reward metrics

Access ETF Global's comprehensive risk, reward, and quantitative scoring systems for institutional analysis and client-facing platforms. Power sophisticated investment strategies with detailed insights designed for business applications.

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View docs →

// GET https://api.polygon.io/etf-global/v1/analytics?composite_ticker=SPY
{
  "status": "OK",
  "request_id": 1,
  "count": 1,
  "results": [
    {
      "processed_date": "2024-01-15",
      "effective_date": "2024-01-15",
      "composite_ticker": "SPY",
      "risk_total_score": 75.5,
      "risk_volatility": 68.2,
      "risk_deviation": 72.1,
      "risk_country": 85.0,
      "risk_structure": 90.5,
      "risk_liquidity": 95.2,
      "risk_efficiency": 78.8,
      "reward_score": 82.3,
      "quant_total_score": 78.9,
      "quant_technical_st": 74.2,
      "quant_technical_it": 76.8,
      "quant_technical_lt": 81.3,
      "quant_composite_technical": 77.4,
      "quant_sentiment_pc": 68.9,
      "quant_sentiment_si": 72.1,
      "quant_sentiment_iv": 70.5,
      "quant_composite_sentiment": 70.5,
      "quant_composite_behavioral": 73.8,
      "quant_grade": "A-"
    }
  ]
}

Track risk and reward metrics

Monitor comprehensive risk, reward, and quantitative scoring with ETF Global's analytics. Track volatility, liquidity, efficiency, and technical indicators to understand fund performance characteristics over time.

Developer-friendly access

Plans for Business

We're here to provide quick, clear answers that respect your time and your timeline. Once you're ready, we'll provide instant access so you can get started without delay.