ETFs tradable in DACH
ETFs tradable in DACH with consistent, comparable data points across the most relevant providers.
Decision Aid
ETF Master Data for Brokers, Banks and Financial Portals.
ETF master data for thousands of products: costs, composition, distributions and volume - structured, validated and directly available via API for ETF search, comparison and X-Ray.
Continuously reviewed master data
All master data is checked and kept current. Your users always see the latest status - costs, composition and key figures included.
For ETF Search, X-Ray and Portfolio Analysis
Enrich dashboards, offer X-Ray analyses (concentration risk) or enable comprehensive ETF comparisons - with a single API.
ETF Transparency
Costs, composition, and performance - prepared in a way end clients can understand.
Frequently Asked Questions about ETF Master Data
Everything banks, brokers and financial portals need to know before integrating.
Which data points are available per ETF?
The money:care ETF master data covers all essential fields: total expense ratio (TER), replication method, distribution policy, fund size (AUM), inception date, fund currency, equity holdings and allocation by country and sector. All data points are structured, validated and available in a consistent format.
How many ETFs are covered in the database?
The database covers 1,000+ ETFs — all major ETFs tradeable in DACH across the most important providers. Coverage is continuously expanded. For platforms with specific tradeable universes, we align data availability in advance before integration.
What use cases are the ETF master data suited for?
The master data is designed for a wide range of use cases: ETF search and filtering, product comparisons, X-Ray analyses (concentration risk, sector overlap), portfolio checks and investment discovery layers. With a single API, platforms can power many different investment features.
What is an ETF X-Ray, and how does it work with your data?
An ETF X-Ray analyses the actual composition of one ETF or a combination of multiple ETFs and individual stocks, making concentration risks and overlaps visible. Based on money:care holdings data, this use case can be implemented directly: platforms can show their users exactly what percentage of their portfolio flows into individual countries, sectors or single securities.
Can I filter and compare ETFs based on master data?
Yes. The master data is structured so it can be used directly as filter criteria: by TER, replication method, distribution policy, fund size or domicile. For comparison tools, all relevant metrics are available in a consistent format — allowing any ETFs to be displayed side by side and compared objectively.
How is the data delivered — API, feed or white label?
ETF master data is primarily available as a REST API, delivering all data points in structured JSON format. For platforms that do not want to build their own frontend integration, money:care additionally offers ready-made UI components as an iFrame or white-label module — for example an ETF comparison view or a product data widget that can be embedded directly into existing interfaces.
How much effort does integration require for an existing broker frontend?
Integration effort is low. The API delivers normalised, consistently named data without requiring additional transformation steps on the platform side. Typical integrations take a few days to a few weeks depending on the chosen use case and existing system architecture. money:care supports the integration process technically and aligns upfront on which data points are needed for the specific project.
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