ETF tracking on a Global scale

ETF Global is the leading provider of comprehensive ETF analytics, constituents, fund flows, and taxonomy data. Now it's available through Polygon's unified APIs.

ETF Global API
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

Comprehensive risk analysis

ETF Global Analysis

Access ETF Global's proprietary Red Diamond and Green Diamond scoring systems for comprehensive risk and reward analysis. Get quantitative insights across multiple dimensions to power sophisticated investment decisions and portfolio optimization strategies.
// 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-",
      "year": 2024
    }
  ]
}

Complete holdings transparency

ETF Global Constituents

Deep dive into ETF holdings with complete transparency into fund composition and position details. Understand what's inside each ETF to make informed investment decisions and perform thorough portfolio analysis.
// 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"
    }
  ]
}

Capital flow insights

ETF Global Fund Flows

Track ETF capital movements and investor sentiment through comprehensive fund flow analysis. Monitor creation and redemption patterns to understand market dynamics and identify emerging investment trends.
// 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
      }
  ]
}

Complete ETF profiles

ETF Global Profiles

Access comprehensive ETF metadata including financial metrics, operational details, and exposure breakdowns. Get complete fund profiles with issuer information, expense structures, and market positioning data for thorough investment analysis.
// 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"
      }
    ]
}

Strategic classification

ETF Global Taxonomies

Navigate the ETF universe with detailed classification and categorization systems. Understand investment strategies, structural characteristics, and fund objectives to build powerful screening and analysis capabilities.
// 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"
    }
  ]
}

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ETF Global Analysis

Proprietary ETF risk and reward models

$99/month
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ETF Global Constituents

Complete ETF holdings and constituent data

$99/month
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ETF Global Fund Flows

Daily ETF fund flows and NAV data

$99/month
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ETF Global Profiles & Exposure

Operational details, costs, liquidity, and market exposures

$99/month
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ETF Global Taxonomies

Benchmarks, classifications, factors, weighting, rebalancing

$99/month
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