合作方数据 ETF 档案与持仓敞口 · REST 接口
ETF 行业分类。获取美国上市 ETF 的行业分类数据,包括板块映射与跨行业框架的标准化归类。
GET /etf-global/v1/profiles上游时效说明
每日更新
上游历史范围
数据可追溯至 2017 年 4 月 3 日
适用场景
- ETF 归类与分类、板块与地区敞口分析、基金画像与对比、组合尽职调查。
接入地址与凭据以实际开通时下发为准。下面是上游字段定义与响应示例,文档收录不等于本站已开放全部能力。
查询参数
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
processed_date | string | No | ETF Global 接收并处理该数据的日期,格式须为 yyyy-mm-dd。 |
processed_date.gt | string | No | 筛选大于该值。值格式须为 yyyy-mm-dd。 |
processed_date.gte | string | No | 筛选大于或等于该值。值格式须为 yyyy-mm-dd。 |
processed_date.lt | string | No | 筛选小于该值。值格式须为 yyyy-mm-dd。 |
processed_date.lte | string | No | 筛选小于或等于该值。值格式须为 yyyy-mm-dd。 |
effective_date | string | No | 该信息准确或生效的日期。部分发行方(如 Vanguard)的数据发布存在延迟,因此生效日期可能比处理日期早数周。值格式须为 yyyy-mm-dd。 |
effective_date.gt | string | No | 筛选大于该值。值格式须为 yyyy-mm-dd。 |
effective_date.gte | string | No | 筛选大于或等于该值。值格式须为 yyyy-mm-dd。 |
effective_date.lt | string | No | 筛选小于该值。值格式须为 yyyy-mm-dd。 |
effective_date.lte | string | No | 筛选小于或等于该值。值格式须为 yyyy-mm-dd。 |
composite_ticker | string | No | 用于在交易所识别该 ETF 产品的股票代码。 |
composite_ticker.any_of | string | No | 筛选等于任一给定值。多个值可用逗号分隔的列表指定。 |
composite_ticker.gt | string | No | 筛选大于该值。 |
composite_ticker.gte | string | No | 筛选大于或等于该值。 |
composite_ticker.lt | string | No | 筛选小于该值。 |
composite_ticker.lte | string | No | 筛选小于或等于该值。 |
limit | integer | No | 限制返回结果的最大数量。未指定时默认为 100,允许的最大值为 5000。 |
sort | string | No | 逗号分隔的排序列列表。每列可追加 .asc 或 .desc 指定排序方向。未指定时排序列默认为 composite_ticker,排序方向默认为 asc。 |
响应字段
| 字段 | 类型 | 说明 |
|---|---|---|
next_url | string | 若存在,可用该值获取下一页数据。 |
request_id | string | 服务器分配的请求 ID。 |
results | array[object] | 本次请求的结果。 |
results[].administrator | string | 该 ETF 的管理人。 |
results[].advisor | string | 该 ETF 的投资顾问。 |
results[].asset_class | string | 该 ETF 持有的主要资产类型,如股票、债券、大宗商品或其他证券。 |
results[].aum | number | 管理资产总规模,即该 ETF 当前持有的全部资产市值。 |
results[].avg_daily_trading_volume | number | 过去一个月的日均成交份数,反映流动性与投资者关注度。 |
results[].bid_ask_spread | number | 日内平均买卖价差百分比,计算方式为价差除以当日采样的最低卖价。 |
results[].call_volume | number | 看涨期权成交量。 |
results[].category | string | 描述该 ETF 投资方向与策略的宽泛投资类别。 |
results[].composite_ticker | string | 用于在交易所识别该 ETF 产品的股票代码。 |
results[].coupon_exposure | array[object] | 固定收益类 ETF 的票息敞口分布。 |
results[].creation_fee | number | 创设该 ETF 新份额所收取的费用。 |
results[].creation_unit_size | number | 该 ETF 创设单位的规模。 |
results[].currency_exposure | array[object] | 该 ETF 的货币敞口分布。 |
results[].custodian | string | 该 ETF 资产的托管人。 |
results[].description | string | 该 ETF 产品的官方名称与说明。 |
results[].development_class | string | 该 ETF 所投资市场的经济发展分类,如发达市场、新兴市场或前沿市场。 |
results[].discount_premium | number | 相对资产净值的折价或溢价。 |
results[].distribution_frequency | string | 该 ETF 的分配频率。 |
results[].distributor | string | 该 ETF 的销售商。 |
results[].effective_date | string | 该信息准确或生效的日期。部分发行方(如 Vanguard)的数据发布存在延迟,因此生效日期可能比处理日期早数周。 |
results[].fee_waivers | number | 该 ETF 适用的费用减免。 |
results[].fiscal_year_end | string | 该 ETF 的财年结束日。 |
results[].focus | string | 该 ETF 提供的具体投资方向或敞口,如板块、地域或投资风格。 |
results[].futures_commission_merchant | string | 期货佣金商(如适用)。 |
results[].geographic_exposure | array[object] | 该 ETF 的地域敞口分布。 |
results[].inception_date | string | 该 ETF 首次发行并开始交易的日期。 |
results[].industry_exposure | array[object] | 该 ETF 的行业敞口分布。 |
results[].industry_group_exposure | array[object] | 该 ETF 的行业组敞口分布。 |
results[].issuer | string | 创建并发行该 ETF 的金融机构或基金公司。 |
results[].lead_market_maker | string | 该 ETF 的主做市商。 |
results[].leverage_style | string | 表示该 ETF 是否使用杠杆放大收益(leveraged),或不使用杠杆(unleveraged)。 |
results[].levered_amount | number | 该 ETF 采用的杠杆倍数,正数表示杠杆敞口,负数表示反向敞口。 |
results[].listing_exchange | string | 该 ETF 上市的主要交易所。 |
results[].management_classification | string | 界定该 ETF 按 SEC 规则属于主动型(由管理人做投资决策)还是被动型(跟踪指数)。 |
results[].management_fee | number | 基金管理人为管理该 ETF 组合与运营所收取的年度费用。 |
results[].maturity_exposure | array[object] | 固定收益类 ETF 的到期期限敞口分布。 |
results[].net_expenses | number | 减免后的净费用。 |
results[].num_holdings | number | 该 ETF 的持仓数量。 |
results[].options_available | integer | 该 ETF 是否有期权可交易。 |
results[].options_volume | number | 该 ETF 的期权成交量。 |
results[].other_expenses | number | 该 ETF 收取的其他费用。 |
results[].portfolio_manager | string | 该 ETF 的基金经理。 |
results[].primary_benchmark | string | 该 ETF 旨在跟踪或复制的标的指数或基准。 |
results[].processed_date | string | ETF Global 接收并处理该数据的日期。 |
results[].product_type | string | 表示该产品是交易所交易票据(etn)还是 ETF(etf)。 |
results[].put_call_ratio | number | 该 ETF 期权的看跌/看涨比率。 |
results[].put_volume | number | 看跌期权成交量。 |
results[].region | string | 该 ETF 集中投资的地理区域或全球范围。 |
results[].sector_exposure | array[object] | 该 ETF 的板块敞口分布。 |
results[].short_interest | number | 该 ETF 的空头持仓。 |
results[].subadvisor | string | 该 ETF 的次级顾问(如适用)。 |
results[].subindustry_exposure | array[object] | 该 ETF 的细分行业敞口分布。 |
results[].tax_classification | string | 该 ETF 的税务结构,决定投资者收到 1099 还是 K1 税表(RIC、Partnership 或 UIT)。 |
results[].total_expenses | number | 该 ETF 的年度总费率,包含转嫁给投资者的全部费用与成本。 |
results[].transfer_agent | string | 该 ETF 的过户代理。 |
results[].trustee | string | 该 ETF 的受托人。 |
status | enum: OK | 本次请求响应的状态。 |
响应示例
{
"count": 1,
"request_id": 1,
"results": [
{
"administrator": "State Street Bank and Trust Company",
"advisor": "SSgA Funds Management, Inc.",
"asset_class": "Equity",
"aum": 624531939442.66,
"avg_daily_trading_volume": 51287737.3,
"bid_ask_spread": 0.000042,
"call_volume": 4797339,
"category": "Size and Style",
"composite_ticker": "SPY",
"creation_fee": 3000,
"creation_unit_size": 50000,
"currency_exposure": {
"usd": 1.003
},
"custodian": "State Street Bank and Trust Company",
"description": "SPDR S&P 500 ETF Trust",
"development_class": "Developed Markets",
"discount_premium": 0.136123,
"distribution_frequency": "Q",
"distributor": "ALPS Distributors, Inc.",
"effective_date": "2025-01-02",
"fee_waivers": 0,
"fiscal_year_end": "31-Aug",
"focus": "Large Cap",
"geographic_exposure": {
"bm": 0.001,
"ch": 0.003,
"ie": 0.021,
"je": 0.001,
"lr": 0.001,
"nl": 0.001,
"pa": 0.001,
"us": 0.967
},
"inception_date": "1993-01-22",
"industry_exposure": {
"aerospace_and_defense": 0.011,
"air_freight_and_logistics": 0.004,
"airlines": 0.002,
"auto_components": 0,
"automobiles": 0.024,
"banks": 0.033,
"beverages": 0.011,
"biotechnology": 0.047,
"building_products": 0.002,
"capital_markets": 0.029,
"cash_or_derivatives": 0.003,
"chemicals": 0.007,
"commercial_services_and_supplies": 0.004,
"communications_equipment": 0.081,
"construction_and_engineering": 0.001,
"construction_materials": 0.001,
"consumer_products": 0.001,
"containers_and_packaging": 0.001,
"distributors": 0.001,
"diversified_consumer_services": 0.005,
"diversified_financial_services": 0.029,
"diversified_telecommunication_services": 0.009,
"electrical_equipment": 0.009,
"electronic_equipment_instruments_and_components": 0.001,
"entertainment": 0.008,
"equity_real_estate_investment": 0.001,
"food_products": 0.006,
"health_care_equipment_and_supplies": 0.031,
"health_care_providers_and_services": 0.018,
"health_care_technology": 0.003,
"hotels,_restaurants_and_leisure": 0.001,
"hotels_restaurants_and_leisure": 0.014,
"household_durables": 0.004,
"household_products": 0.011,
"industrial_conglomerates": 0.005,
"insurance": 0.035,
"it_services": 0.021,
"leisure_products": 0,
"machinery": 0.013,
"media": 0.077,
"metals_and_mining": 0.003,
"oil_gas_and_consumable_fuels": 0.031,
"real_estate_management_and_development": 0.018,
"renewable_energy": 0.001,
"road_and_rail": 0.003,
"semiconductors_and_semiconductor_equipment": 0.115,
"software": 0.101,
"specialty_retail": 0.082,
"technology_hardware_storage_and_peripherals": 0.001,
"textiles_apparel_and_luxury_goods": 0.003,
"tobacco": 0.006,
"trading_companies_and_distributors": 0.002,
"transportation_infrastructure": 0.006,
"utilities": 0.022
},
"industry_group_exposure": {
"automobiles_and_components": 0.024,
"banks": 0.033,
"capital_goods": 0.045,
"cash_or_derivatives": 0.003,
"commercial_and_professional_services": 0.005,
"consumer_durables_and_apparel": 0.007,
"consumer_services": 0.02,
"diversified_financials": 0.058,
"energy": 0.032,
"food_and_staples_retailing": 0.018,
"food_beverage_and_tobacco": 0.023,
"health_care_equipment_and_services": 0.046,
"household_and_personal_products": 0.011,
"insurance": 0.035,
"materials": 0.013,
"media_and_entertainment": 0.084,
"pharmaceuticals_biotechnology_and_life_sciences": 0.053,
"real_estate": 0.02,
"retailing": 0.065,
"semiconductors_and_semiconductor_equipment": 0.115,
"software_and_services": 0.12,
"technology_hardware_and_equipment": 0.084,
"telecommunication_services": 0.009,
"transportation": 0.002,
"transportation_and_logistics": 0.012,
"utilities": 0.022
},
"issuer": "SSgA",
"lead_market_maker": "None",
"leverage_style": "unleveraged",
"levered_amount": 0,
"listing_exchange": "NYSE Arca, Inc.",
"management_classification": "passive",
"management_fee": 0.0945,
"net_expenses": 0.0945,
"num_holdings": 504,
"options_available": 1,
"options_volume": 9346839,
"other_expenses": 0,
"primary_benchmark": "S&P 500 Index",
"processed_date": "2025-01-02",
"product_type": "etf",
"put_call_ratio": 0.948338,
"put_volume": 4549500,
"region": "North America",
"sector_exposure": {
"cash_or_derivatives": 0.003,
"communications": 0.094,
"consumer_discretionary": 0.113,
"consumer_staples": 0.054,
"energy": 0.032,
"financials": 0.131,
"health_care": 0.099,
"industrials": 0.068,
"materials": 0.013,
"real_estate": 0.02,
"technology": 0.321,
"utilities": 0.022
},
"short_interest": 106750000,
"subindustry_exposure": {
"advertising": 0.001,
"aerospace_and_defense": 0.011,
"agricultural_and_farm_machinery": 0.002,
"agricultural_products": 0.001,
"air_freight_and_logistics": 0.004,
"airlines": 0.002,
"alternative_carriers": 0.009,
"apparel_accessories_and_luxury": 0.003,
"apparel_retail": 0.005,
"application_software": 0.024,
"asset_management_and_custody_banks": 0.006,
"auto_parts_and_equipment": 0,
"automobile_manufacturers": 0.024,
"automotive_retail": 0.004,
"biotechnology": 0.047,
"brewers": 0,
"building_products": 0.002,
"cable_and_satellite": 0.004,
"cash_or_derivatives": 0.003,
"casinos_and_gaming": 0.001,
"commodity_chemicals": 0.001,
"communications_equipment": 0.081,
"construction_and_engineering": 0.001,
"construction_machinery_and_heavy_trucks": 0.006,
"construction_materials": 0.001,
"consumer_electronics": 0.001,
"consumer_finance": 0.029,
"data_processing_and_outsourced_services": 0.006,
"distillers_and_vintners": 0.001,
"distributors": 0,
"diversified_banks": 0.033,
"diversified_chemicals": 0.002,
"diversified_metals_and_mining": 0.001,
"diversified_support_services": 0.001,
"drug_retail": 0,
"electric_utilities": 0.013,
"electrical_components_and_equipment": 0.009,
"electronic_components": 0.001,
"electronic_equipment_and_instruments": 0,
"electronic_manufacturing_services": 0,
"environmental_and_facilities_services": 0.003,
"fertilizers_and_agricultural_che": 0.001,
"financial_exchanges_and_data": 0.006,
"food_retail": 0.002,
"gas_utilities": 0,
"general_merchandise_stores": 0.002,
"health_care_distributors": 0.003,
"health_care_equipment": 0.014,
"health_care_facilities": 0.001,
"health_care_services": 0.004,
"health_care_supplies": 0.003,
"heavy_electrical_equipment": 0.001,
"highways_and_railtracks": 0.005,
"home_improvement_retail": 0.012,
"homebuilding": 0.002,
"hotels_resorts_and_cruise_lines": 0.004,
"household_products": 0.011,
"hypermarkets_and_super_centers": 0.016,
"independent_power_producers_and_energy_traders": 0.001,
"industrial_conglomerates": 0.005,
"industrial_machinery": 0.005,
"insurance_brokers": 0.005,
"integrated_oil_and_gas": 0.014,
"interactive_media_and_services": 0.067,
"internet_and_direct_marketing_retail": 0.043,
"internet_services_and_infrastruc": 0.004,
"investment_banking_and_brokerage": 0.01,
"it_consulting_and_other_services": 0.011,
"leisure_facilities": 0,
"leisure_products": 0.001,
"life_and_health_insurance": 0.003,
"life_sciences_tools_and_services": 0.014,
"managed_health_care": 0.013,
"metal_and_glass_containers": 0.001,
"movies_and_entertainment": 0.012,
"multiutilities": 0.006,
"oil_and_gas_equipment_and_services": 0.002,
"oil_and_gas_exploration_and_production": 0.007,
"oil_and_gas_refining_and_marketing": 0.003,
"oil_and_gas_storage_and_transporta": 0.004,
"packaged_foods_and_meats": 0.006,
"paper_packaging": 0.001,
"precious_metals_and_minerals": 0.001,
"property_and_casualty_insurance": 0.027,
"publishing_and_broadcasting": 0,
"railroads": 0.001,
"real_estate_services": 0.001,
"reinsurance": 0,
"reit": 0.019,
"renewable_energy_equipment": 0.001,
"research_and_consulting_services": 0.002,
"restaurants": 0.009,
"security_and_alarm_services": 0.004,
"semiconductors": 0.115,
"soft_drinks": 0.01,
"specialty_chemicals": 0.004,
"specialty_stores": 0.001,
"steel": 0.001,
"systems_software": 0.078,
"technology_hardware_storage_and_peripherals": 0.002,
"tobacco": 0.006,
"trading_companies_and_distributors": 0.002,
"trucking": 0.004,
"water_utilities": 0
},
"tax_classification": "Regulated Investment Company",
"total_expenses": 0.0945,
"transfer_agent": "State Street Bank and Trust Company",
"trustee": "State Street Global Advisors Trust Company"
}
],
"status": "OK"
}原文:Massive 文档 ↗