Faker-generated currency rates are not designed to be accurate or reflective of real-world data. The primary purpose of Faker is to provide random data for testing and development, which means that the currency values it generates are arbitrary and do not correspond to actual market rates.
Key Points
1. Randomness and Lack of Realism:
Faker generates random currency codes, symbols, and amounts, which can be useful for populating databases or testing applications. However, these values do not represent real exchange rates or financial data, making them unsuitable for any application requiring accurate financial information[2].
2. Simulating Errors:
While you can simulate scenarios involving missing or incorrect currency rates using Faker, the generated data itself will not reflect the complexities and fluctuations of actual currency markets. For instance, you can create situations where certain currency pairs are missing, but the rates themselves will not be based on real-world data[4].
3. Testing and Development Usage:
The randomness of Faker's output is beneficial for testing purposes, allowing developers to ensure their applications can handle various data inputs without relying on real financial data. However, for applications that require accurate currency conversion or financial transactions, using real-time data from financial APIs is essential[5].
In summary, while Faker can generate currency-related data for testing, it does not provide accurate or realistic currency rates compared to real-world data. For accurate financial applications, developers should rely on real-time currency exchange rate services.
Citations:[1] https://www.researchgate.net/publication/380028468_Review_on_fake_currency_detection_using_image_processing_techniques
[2] https://github.com/faker-js/faker/issues/1733
[3] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4041599
[4] https://tribune.com.pk/story/1889196/twitter-celebrates-google-faces-glitch-exchange-rate-index
[5] https://hexdocs.pm/faker/Faker.Currency.html