FMP

FMP

Enter

ETF Sector Weighting API

The FMP ETF Sector Weighting endpoint provides a breakdown of the percentage of an ETF's assets that are invested in each sector. For example, an investor may want to invest in an ETF that has a high exposure to the technology sector if they believe that the technology sector is poised for growth.

About ETF Sector Weighting API

The FMP ETF Sector Weighting endpoint provides a breakdown of the percentage of an ETF's assets that are invested in each sector. This information can be used by investors to understand the risk profile of an ETF and to identify ETFs that are exposed to specific sectors. For example, an investor may want to invest in an ETF that has a high exposure to the technology sector if they believe that the technology sector is poised for growth.
Investors can also use ETF sector weighting data to diversify their portfolios. For example, an investor who already owns a lot of technology stocks may want to invest in an ETF that has a high exposure to other sectors, such as healthcare or consumer staples.

ETF Sector Weighting API Parameters

Path Parameter

Type

Example

symbol*

string

QDVE.DE

(*) Required

How it works

How-it-works Signup

Get Started: Sign Up Today!

Begin your data journey by signing up and accessing our API endpoints. Get instant access to a vast array of financial data to power your applications and analyses.

How-it-works Free plan

Dive into Data: Free Plan Access

Explore our free data plan and access a wide range of financial data through our API endpoints. Start integrating real-time data into your applications and projects.

How-it-works Upgrade-Premium

Unlock Premium Data: Upgrade Now!

Upgrade to our premium plan for exclusive access to advanced financial datasets via our API endpoints. Take your analyses to the next level and gain a competitive edge in the market.

Related ETF Sector Weighting APIs

link-image
ETF Holder

This endpoint returns all stocks held by a specific ETF. Assets, share number, and weight are among the fields returned. For example you can get components of SPY, VOO and more. Read more

link-image
ETF Holdings

The FMP ETF Holdings endpoint provides a list of all the institutional investors that own shares of an ETF. For example, an investor may want to know which ETF has the highest exposure to a particular... Read more

link-image
ETF Country Weighting

The FMP ETF Country Weighting endpoint provides a breakdown of the percentage of an ETF's assets that are invested in each country. For example, an investor may want to invest in an ETF that has a hig... Read more

link-image
ETF Information

The FMP ETF Information endpoint provides basic information about an ETF, such as its ticker symbol, name, expense ratio, and asset under management. For example, an investor may want to compare the e... Read more

link-image
ETF Stock Exposure

This endpoint returns asset exposure from all ETFs that have it in their holdings. It has properties like market value, share number or weight percentage. It can be useful for looking up stock you lik... Read more

ETF Sector Weighting API FAQs

Does your API provide access to ETF net assets or AUM historical data?

Yes, our API does provide access to ETF net assets and AUM historical data. You can find more information about this data in the ETF Information API documentation here: https://site.financialmodelingprep.com/developer/docs#etf-information-etf-holdings

How can I retrieve the tickers included in an index using your API?

To retrieve the tickers included in an index using our API, you can make a request to the following endpoint: https://financialmodelingprep.com/stable/etf-holder-bulk. This will provide you with the information you are looking for.

How can I get historical data for ETF holdings using the API?

To retrieve historical data for ETF holdings, the API call should be structured as follows: financialmodelingprep.com/stable/etf/holdings?date=desired_date&symbol=SPY&apikey=YOUR-API-KEY. You can find more information on how to make the API call for historical data on the Financial Modeling Prep documentation: https://site.financialmodelingprep.com/developer/docs#etf-holding-dates-etf-holdings

How does the API calculate sector performance?

The API calculates sector performance by taking the average change percentage of all the companies within that sector. The change percentage can be found on the quote endpoint, while the sector information can be found on the profile endpoint.

How can I quickly receive the sector of a stock?

You can get the sector of a stock by using the Profile API. You can find more information on how to access this data here: https://site.financialmodelingprep.com/developer/docs#company-profile-company-information

What would you suggest the sleep time between 2 api calls to these bulk endpoints?

You can hit the bulk endpoints Once / 10 seconds and the Profile Bulk / ETF Bulk - Once / 60 seconds.

Do you provide country and regions exposure for bonds at a fund level?

At the moment, we do not provide bonds data. However, for fund level data regarding region or country exposures, along with historical prices, we do offer ETF fund and country allocation data. If you are interested in commercial use of our data, please submit your information using the following link: https://site.financialmodelingprep.com/enterprise-contact

Unlock Premium Financial Insights Today!

Join Financial Modeling Prep now to access real-time data, in-depth analysis, and personalized insights tailored to your financial goals. Stay ahead of the game and make informed decisions with our comprehensive tools and dedicated support. Sign up today and take the first step towards financial success!

Start Your Journey Now!
FMP

FMP

Financial Modeling Prep API provides real time stock price, company financial statements, major index prices, stock historical data, forex real time rate and cryptocurrencies. Financial Modeling Prep stock price API is in real time, the company reports can be found in quarter or annual format, and goes back 30 years in history.
twitterlinkedin
2017-2025 © Financial Modeling Prep