info

ETF Information Overview.

Examples

from openbb import obb
obb.etf.info(symbol='SPY', provider='fmp')
# This function accepts multiple tickers.
obb.etf.info(symbol='SPY,IWM,QQQ,DJIA', provider='fmp')

Parameters

• standard
• fmp
• intrinio
• tmx
• yfinance

symbol: str | list[str]
Symbol to get data for. (ETF) Multiple items allowed for provider(s): fmp, intrinio, tmx, yfinance.

symbol: str | list[str]
Symbol to get data for. (ETF) Multiple items allowed for provider(s): fmp, intrinio, tmx, yfinance.

symbol: str | list[str]
Symbol to get data for. (ETF) Multiple items allowed for provider(s): fmp, intrinio, tmx, yfinance.

symbol: str | list[str]
Symbol to get data for. (ETF) Multiple items allowed for provider(s): fmp, intrinio, tmx, yfinance.

use_cache: bool
Default: True
Whether to use a cached request. All ETF data comes from a single JSON file that is updated daily. To bypass, set to False. If True, the data will be cached for 4 hours.

symbol: str | list[str]
Symbol to get data for. (ETF) Multiple items allowed for provider(s): fmp, intrinio, tmx, yfinance.

---

Returns

results: list[EtfInfo]

Serializable results.

provider: Optional[Literal['fmp', 'intrinio', 'tmx', 'yfinance']]

Provider name.

warnings: Optional[list[Warning_]]

list of warnings.

chart: Optional[Chart]

Chart object.

extra: dict[str, Any]

Extra info.

---

Data

• standard
• fmp
• intrinio
• tmx
• yfinance

symbol: str
Symbol representing the entity requested in the data. (ETF)

name: str
Name of the ETF.

issuer: str
Issuer of the ETF.

domicile: str
Domicile of the ETF.

website: str
Website of the ETF.

description: str
Description of the fund.

inception_date: date
Inception date of the ETF.

symbol: str
Symbol representing the entity requested in the data. (ETF)

name: str
Name of the ETF.

issuer: str
Issuer of the ETF.

domicile: str
Domicile of the ETF.

website: str
Website of the ETF.

description: str
Description of the fund.

inception_date: date
Inception date of the ETF.

cusip: str
CUSIP of the ETF.

isin: str
ISIN of the ETF.

asset_class: str
Asset class of the ETF.

currency: str
Currency of the ETF's net asset value.

holdings_count: int
Number of holdings.

aum: float
Assets under management.

expense_ratio: float
The expense ratio, as a normalized percent.

nav: float
Net asset value of the ETF.

volume_avg: Union[float, int]
Average daily trading volume.

updated: datetime
As of date for the latest data point.

symbol: str
Symbol representing the entity requested in the data. (ETF)

name: str
Name of the ETF.

issuer: str
Issuer of the ETF.

domicile: str
2 letter ISO country code for the country where the ETP is domiciled.

website: str
Website of the ETF.

description: str
Description of the fund.

inception_date: date
Inception date of the ETF.

fund_listing_date: date
The date on which the Exchange Traded Product (ETP) or share class of the ETP is listed on a specific exchange.

data_change_date: date
The last date on which there was a change in a classifications data field for this ETF.

etn_maturity_date: date
If the product is an ETN, this field identifies the maturity date for the ETN.

is_listed: bool
If true, the ETF is still listed on an exchange.

close_date: date
The date on which the ETF was de-listed if it is no longer listed.

exchange: str
The exchange Market Identifier Code (MIC).

isin: str
International Securities Identification Number (ISIN).

ric: str
Reuters Instrument Code (RIC).

sedol: str
Stock Exchange Daily Official list (SEDOL).

figi_symbol: str
Financial Instrument Global Identifier (FIGI) symbol.

share_class_figi: str
Financial Instrument Global Identifier (FIGI).

firstbridge_id: str
The FirstBridge unique identifier for the Exchange Traded Fund (ETF).

firstbridge_parent_id: str
The FirstBridge unique identifier for the parent Exchange Traded Fund (ETF), if applicable.

intrinio_id: str
Intrinio unique identifier for the security.

intraday_nav_symbol: str
Intraday Net Asset Value (NAV) symbol.

primary_symbol: str
The primary ticker field is used for Exchange Traded Products (ETPs) that have multiple listings and share classes. If an ETP has multiple listings or share classes, the same primary ticker is assigned to all the listings and share classes.

etp_structure_type: str
Classifies Exchange Traded Products (ETPs) into very broad categories based on its legal structure.

legal_structure: str
Legal structure of the fund.

etn_issuing_bank: str
If the product is an Exchange Traded Note (ETN), this field identifies the issuing bank.

fund_family: str
This field identifies the fund family to which the ETF belongs, as categorized by the ETF Sponsor.

investment_style: str
Investment style of the ETF.

derivatives_based: str
This field is populated if the ETF holds either listed or over-the-counter derivatives in its portfolio.

income_category: str
Identifies if an Exchange Traded Fund (ETF) falls into a category that is specifically designed to provide a high yield or income

asset_class: str
Captures the underlying nature of the securities in the Exchanged Traded Product (ETP).

other_asset_types: str
If 'asset_class' field is classified as 'Other Asset Types' this field captures the specific category of the underlying assets.

single_category_designation: str
This categorization is created for those users who want every ETF to be 'forced' into a single bucket, so that the assets for all categories will always sum to the total market.

beta_type: str
This field identifies whether an ETF provides 'Traditional' beta exposure or 'Smart' beta exposure. ETFs that are active (i.e. non-indexed), leveraged / inverse or have a proprietary quant model (i.e. that don't provide indexed exposure to a targeted factor) are classified separately.

beta_details: str
This field provides further detail within the traditional and smart beta categories.

market_cap_range: str
Equity ETFs are classified as falling into categories based on the description of their investment strategy in the prospectus. Examples ('Mega Cap', 'Large Cap', 'Mid Cap', etc.)

market_cap_weighting_type: str
For ETFs that take the value 'Market Cap Weighted' in the 'index_weighting_scheme' field, this field provides detail on the market cap weighting type.

index_weighting_scheme: str
For ETFs that track an underlying index, this field provides detail on the index weighting type.

index_linked: str
This field identifies whether an ETF is index linked or active.

index_name: str
This field identifies the name of the underlying index tracked by the ETF, if applicable.

index_symbol: str
This field identifies the OpenFIGI ticker for the Index underlying the ETF.

parent_index: str
This field identifies the name of the parent index, which represents the broader universe from which the index underlying the ETF is created, if applicable.

index_family: str
This field identifies the index family to which the index underlying the ETF belongs. The index family is represented as categorized by the index provider.

broader_index_family: str
This field identifies the broader index family to which the index underlying the ETF belongs. The broader index family is represented as categorized by the index provider.

index_provider: str
This field identifies the Index provider for the index underlying the ETF, if applicable.

index_provider_code: str
This field provides the First Bridge code for each Index provider, corresponding to the index underlying the ETF if applicable.

replication_structure: str
The replication structure of the Exchange Traded Product (ETP).

growth_value_tilt: str
Classifies equity ETFs as either 'Growth' or Value' based on the stated style tilt in the ETF prospectus. Equity ETFs that do not have a stated style tilt are classified as 'Core / Blend'.

growth_type: str
For ETFs that are classified as 'Growth' in 'growth_value_tilt', this field further identifies those where the stocks in the ETF are both selected and weighted based on their growth (style factor) scores.

value_type: str
For ETFs that are classified as 'Value' in 'growth_value_tilt', this field further identifies those where the stocks in the ETF are both selected and weighted based on their value (style factor) scores.

sector: str
For equity ETFs that aim to provide targeted exposure to a sector or industry, this field identifies the Sector that it provides the exposure to.

industry: str
For equity ETFs that aim to provide targeted exposure to an industry, this field identifies the Industry that it provides the exposure to.

industry_group: str
For equity ETFs that aim to provide targeted exposure to a sub-industry, this field identifies the sub-Industry that it provides the exposure to.

cross_sector_theme: str
For equity ETFs that aim to provide targeted exposure to a specific investment theme that cuts across GICS sectors, this field identifies the specific cross-sector theme. Examples ('Agri-business', 'Natural Resources', 'Green Investing', etc.)

natural_resources_type: str
For ETFs that are classified as 'Natural Resources' in the 'cross_sector_theme' field, this field provides further detail on the type of Natural Resources exposure.

us_or_excludes_us: str
Takes the value of 'Domestic' for US exposure, 'International' for non-US exposure and 'Global' for exposure that includes all regions including the US.

developed_emerging: str
This field identifies the stage of development of the markets that the ETF provides exposure to.

specialized_region: str
This field is populated if the ETF provides targeted exposure to a specific type of geography-based grouping that does not fall into a specific country or continent grouping. Examples ('BRIC', 'Chindia', etc.)

continent: str
This field is populated if the ETF provides targeted exposure to a specific continent or country within that Continent.

latin_america_sub_group: str
For ETFs that are classified as 'Latin America' in the 'continent' field, this field provides further detail on the type of regional exposure.

europe_sub_group: str
For ETFs that are classified as 'Europe' in the 'continent' field, this field provides further detail on the type of regional exposure.

asia_sub_group: str
For ETFs that are classified as 'Asia' in the 'continent' field, this field provides further detail on the type of regional exposure.

specific_country: str
This field is populated if the ETF provides targeted exposure to a specific country.

china_listing_location: str
For ETFs that are classified as 'China' in the 'country' field, this field provides further detail on the type of exposure in the underlying securities.

us_state: str
Takes the value of a US state if the ETF provides targeted exposure to the municipal bonds or equities of companies.

real_estate: str
For ETFs that provide targeted real estate exposure, this field is populated if the ETF provides targeted exposure to a specific segment of the real estate market.

fundamental_weighting_type: str
For ETFs that take the value 'Fundamental Weighted' in the 'index_weighting_scheme' field, this field provides detail on the fundamental weighting methodology.

dividend_weighting_type: str
For ETFs that take the value 'Dividend Weighted' in the 'index_weighting_scheme' field, this field provides detail on the dividend weighting methodology.

bond_type: str
For ETFs where 'asset_class_type' is 'Bonds', this field provides detail on the type of bonds held in the ETF.

government_bond_types: str
For bond ETFs that take the value 'Treasury & Government' in 'bond_type', this field provides detail on the exposure.

municipal_bond_region: str
For bond ETFs that take the value 'Municipal' in 'bond_type', this field provides additional detail on the geographic exposure.

municipal_vrdo: bool
For bond ETFs that take the value 'Municipal' in 'bond_type', this field identifies those ETFs that specifically provide exposure to Variable Rate Demand Obligations.

mortgage_bond_types: str
For bond ETFs that take the value 'Mortgage' in 'bond_type', this field provides additional detail on the type of underlying securities.

bond_tax_status: str
For all US bond ETFs, this field provides additional detail on the tax treatment of the underlying securities.

credit_quality: str
For all bond ETFs, this field helps to identify if the ETF provides targeted exposure to securities of a specific credit quality range.

average_maturity: str
For all bond ETFs, this field helps to identify if the ETF provides targeted exposure to securities of a specific maturity range.

specific_maturity_year: int
For all bond ETFs that take the value 'Specific Maturity Year' in the 'average_maturity' field, this field specifies the calendar year.

commodity_types: str
For ETFs where 'asset_class_type' is 'Commodities', this field provides detail on the type of commodities held in the ETF.

energy_type: str
For ETFs where 'commodity_type' is 'Energy', this field provides detail on the type of energy exposure provided by the ETF.

agricultural_type: str
For ETFs where 'commodity_type' is 'Agricultural', this field provides detail on the type of agricultural exposure provided by the ETF.

livestock_type: str
For ETFs where 'commodity_type' is 'Livestock', this field provides detail on the type of livestock exposure provided by the ETF.

metal_type: str
For ETFs where 'commodity_type' is 'Gold & Metals', this field provides detail on the type of exposure provided by the ETF.

inverse_leveraged: str
This field is populated if the ETF provides inverse or leveraged exposure.

target_date_multi_asset_type: str
For ETFs where 'asset_class_type' is 'Target Date / MultiAsset', this field provides detail on the type of commodities held in the ETF.

currency_pair: str
This field is populated if the ETF's strategy involves providing exposure to the movements of a currency or involves hedging currency exposure.

social_environmental_type: str
This field is populated if the ETF's strategy involves providing exposure to a specific social or environmental theme.

clean_energy_type: str
This field is populated if the ETF has a value of 'Clean Energy' in the 'social_environmental_type' field.

dividend_type: str
This field is populated if the ETF has an intended investment objective of holding dividend-oriented stocks as stated in the prospectus.

regular_dividend_payor_type: str
This field is populated if the ETF has a value of'Dividend - Regular Payors' in the 'dividend_type' field.

quant_strategies_type: str
This field is populated if the ETF has either an index-linked or active strategy that is based on a proprietary quantitative strategy.

other_quant_models: str
For ETFs where 'quant_strategies_type' is 'Other Quant Model', this field provides the name of the specific proprietary quant model used as the underlying strategy for the ETF.

hedge_fund_type: str
For ETFs where 'other_asset_types' is 'Hedge Fund Replication', this field provides detail on the type of hedge fund replication strategy.

excludes_financials: bool
For equity ETFs, identifies those ETFs where the underlying fund holdings will not hold financials stocks, based on the funds intended objective.

excludes_technology: bool
For equity ETFs, identifies those ETFs where the underlying fund holdings will not hold technology stocks, based on the funds intended objective.

holds_only_nyse_stocks: bool
If true, the ETF is an equity ETF and holds only stocks listed on NYSE.

holds_only_nasdaq_stocks: bool
If true, the ETF is an equity ETF and holds only stocks listed on Nasdaq.

holds_mlp: bool
If true, the ETF's investment objective explicitly specifies that it holds MLPs as an intended part of its investment strategy.

holds_preferred_stock: bool
If true, the ETF's investment objective explicitly specifies that it holds preferred stock as an intended part of its investment strategy.

holds_closed_end_funds: bool
If true, the ETF's investment objective explicitly specifies that it holds closed end funds as an intended part of its investment strategy.

holds_adr: bool
If true, he ETF's investment objective explicitly specifies that it holds American Depositary Receipts (ADRs) as an intended part of its investment strategy.

laddered: bool
For bond ETFs, this field identifies those ETFs that specifically hold bonds in a laddered structure, where the bonds are scheduled to mature in an annual, sequential structure.

zero_coupon: bool
For bond ETFs, this field identifies those ETFs that specifically hold zero coupon Treasury Bills.

floating_rate: bool
For bond ETFs, this field identifies those ETFs that specifically hold floating rate bonds.

build_america_bonds: bool
For municipal bond ETFs, this field identifies those ETFs that specifically hold Build America Bonds.

dynamic_futures_roll: bool
If the product holds futures contracts, this field identifies those products where the roll strategy is dynamic (rather than entirely rules based), so as to minimize roll costs.

currency_hedged: bool
This field is populated if the ETF's strategy involves hedging currency exposure.

includes_short_exposure: bool
This field is populated if the ETF has short exposure in any of its holdings e.g. in a long/short or inverse ETF.

ucits: bool
If true, the Exchange Traded Product (ETP) is Undertakings for the Collective Investment in Transferable Securities (UCITS) compliant

registered_countries: str
The list of countries where the ETF is legally registered for sale. This may differ from where the ETF is domiciled or traded, particularly in Europe.

issuer_country: str
2 letter ISO country code for the country where the issuer is located.

listing_country: str
2 letter ISO country code for the country of the primary listing.

listing_region: str
Geographic region in the country of the primary listing falls.

bond_currency_denomination: str
For all bond ETFs, this field provides additional detail on the currency denomination of the underlying securities.

base_currency: str
Base currency in which NAV is reported.

listing_currency: str
listing currency of the Exchange Traded Product (ETP) in which it is traded. Reported using the 3-digit ISO currency code.

number_of_holdings: int
The number of holdings in the ETF.

month_end_assets: float
Net assets in millions of dollars as of the most recent month end.

net_expense_ratio: float
Gross expense net of Fee Waivers, as a percentage of net assets as published by the ETF issuer.

etf_portfolio_turnover: float
The percentage of positions turned over in the last 12 months.

symbol: str
Symbol representing the entity requested in the data. (ETF)

name: str
Name of the ETF.

issuer: str
The issuer of the ETF.

domicile: str
Domicile of the ETF.

website: str
The website of the ETF.

description: str
The description of the ETF.

inception_date: date
Inception date of the ETF.

investment_style: str
The investment style of the ETF.

esg: bool
Whether the ETF qualifies as an ESG fund.

currency: str
The currency of the ETF.

unit_price: float
The unit price of the ETF.

close: float
The closing price of the ETF.

prev_close: float
The previous closing price of the ETF.

return_1m: float
The one-month return of the ETF, as a normalized percent

return_3m: float
The three-month return of the ETF, as a normalized percent.

return_6m: float
The six-month return of the ETF, as a normalized percent.

return_ytd: float
The year-to-date return of the ETF, as a normalized percent.

return_1y: float
The one-year return of the ETF, as a normalized percent.

return_3y: float
The three-year return of the ETF, as a normalized percent.

return_5y: float
The five-year return of the ETF, as a normalized percent.

return_10y: float
The ten-year return of the ETF, as a normalized percent.

return_from_inception: float
The return from inception of the ETF, as a normalized percent.

avg_volume: int
The average daily volume of the ETF.

avg_volume_30d: int
The 30-day average volume of the ETF.

aum: float
The AUM of the ETF.

pe_ratio: float
The price-to-earnings ratio of the ETF.

pb_ratio: float
The price-to-book ratio of the ETF.

management_fee: float
The management fee of the ETF, as a normalized percent.

mer: float
The management expense ratio of the ETF, as a normalized percent.

distribution_yield: float
The distribution yield of the ETF, as a normalized percent.

dividend_frequency: str
The dividend payment frequency of the ETF.

symbol: str
Symbol representing the entity requested in the data. (ETF)

name: str
Name of the ETF.

issuer: str
Issuer of the ETF.

domicile: str
Domicile of the ETF.

website: str
Website of the ETF.

description: str
Description of the fund.

inception_date: date
Inception date of the ETF.

fund_type: str
The legal type of fund.

fund_family: str
The fund family.

category: str
The fund category.

exchange: str
The exchange the fund is listed on.

exchange_timezone: str
The timezone of the exchange.

currency: str
The currency in which the fund is listed.

nav_price: float
The net asset value per unit of the fund.

total_assets: int
The total value of assets held by the fund.

trailing_pe: float
The trailing twelve month P/E ratio of the fund's assets.

dividend_yield: float
The dividend yield of the fund, as a normalized percent.

dividend_rate_ttm: float
The trailing twelve month annual dividend rate of the fund, in currency units.

dividend_yield_ttm: float
The trailing twelve month annual dividend yield of the fund, as a normalized percent.

year_high: float
The fifty-two week high price.

year_low: float
The fifty-two week low price.

ma_50d: float
50-day moving average price.

ma_200d: float
200-day moving average price.

return_ytd: float
The year-to-date return of the fund, as a normalized percent.

return_3y_avg: float
The three year average return of the fund, as a normalized percent.

return_5y_avg: float
The five year average return of the fund, as a normalized percent.

beta_3y_avg: float
The three year average beta of the fund.

volume_avg: float
The average daily trading volume of the fund.

volume_avg_10d: float
The average daily trading volume of the fund over the past ten days.

bid: float
The current bid price.

bid_size: float
The current bid size.

ask: float
The current ask price.

ask_size: float
The current ask size.

open: float
The open price of the most recent trading session.

high: float
The highest price of the most recent trading session.

low: float
The lowest price of the most recent trading session.

volume: int
The trading volume of the most recent trading session.

prev_close: float
The previous closing price.