Available currencies
Our platform now supports 12 additional currencies, including all G10 currencies. This expanded coverage allows for more comprehensive currency conversion capabilities, enhancing your ability to work with a wider range of financial data and markets. Stay updated with our latest features and capabilities to make the most of this exciting addition to our platform.
Full list of currencies:
- Australian dollar (AUD)
- Canadian dollar (CAD)
- Danish krone (DKK)
- Euro (EUR)
- Japanese yen (JPY)
- New Zealand dollar (NZD)
- Norwegian krone (NOK)
- Pound sterling (GBP)
- Singapore dollar (SGD)
- Swedish krona (SEK)
- Swiss franc (CHF)
- United States dollar (USD)
Currency conversion
Our system does not compute aggregation with the selected currency directly. Instead, we perform currency conversion on the aggregated data, converting it from EUR into the selected currency of your choice.
To ensure precision and minimize fluctuations, we employ average yearly exchange rates for these conversions. This method allows us to maintain data consistency and provide you with reliable financial insights, irrespective of the currency you choose. Rest assured that your analysis is backed by a robust currency conversion process designed to deliver accurate results.
Matter aggregation is computed in EUR. Opting for a different currency will necessitate currency conversion, which may introduce a negligible margin of error within the aggregation values in the Analysis.
A margin of error
To want to ensure transparency and accuracy in our aggregation calculations, and we value your trust in our platform. When you have selected the currency USD (United States Dollar), as an example, for your calculations, please be aware that there may be a margin of error of approximately 1% within the aggregation results.
This margin of error arises from currency conversion fluctuations and is a standard industry practice. While we strive to provide the most precise results possible, it's important to keep this potential variation in mind when analyzing your data.
To minimise the impact of this margin of error, we recommend double-checking your results and considering a range of values when making critical decisions based on the aggregated data.