Client need help learning about the full scope of data filtration using LSEG API.
Some of the questions client's have are:
1) If I wanted to run a fuzzy-matching algorithm on some custom metrics, do I need to write that function locally, or is there an LSEG API function that does this efficiently?
2) If I have to pull historical daily data for 1000 tickers, what is the most efficient way to do this?
3) If I have to get this function to run every night, what are limits I need to be aware of?
4) If I want to run some ML algorithm, do I need to download the data first, and run it locally, or can I run it on your data without downloading and just view the results? Are there pre-built features for this?
5) What are the limits (if any) related to my license and the type / size / frequency of data I can pull via the API?
Thank you for your assistance!