Automating XBRL Documents
Downloading and processing XBRL documents in Python!
As FinTech continues to accelerate, more and more companies are incorporating XBRL documents for their annual and semi-annual filings. The market makers have automated processes to analyze these documents immediately upon filing. This is a 3 part series illustrating the use of Python to not only automate the lookup and downloading of these documents, but also to parse the filings and produce a spreadsheet summary of the financial information.
Part 1
The first in the series will be background information, introduction to the process, toolsets required, and the code to read a stock ticker from a spreadsheet, search for and download the XBRL documents.
Part 2
The second part to the series will be a discussion of the XBRL protocol and file structure, parsing the file structure, and extracting the pertinent information.
Part 3
The final part to the series will be writing the report to a spreadsheet, processing the financial report, and sending a notification that it is complete.
