This is a simple flask app that exposes pandas_market_calendars functionality over HTTP on localhost. This allows using the awesome functionality of the pandas ecosystem in applications written in languages other than python.
I wrote this for my own personal use as a quality-of-life utility for my algorithmic trading application, so defaults reflect that. It is intended to be run inside a docker container and exposed only to a trusted localhost environment.
git clone- Edit
market.pyto choose your market of interest. Defaults to Cboe equity options. docker compose up --build -d
The app exposes two routes:
Returns market open and close datetimes in JSON of the form {"close":"2025-04-17T20:00:00+00:00","open":"2025-04-17T13:30:00+00:00"} for "today", i.e. the current day.
Returns market open and close datetimes in JSON, in the same form as above for the date represented by YYYY-MM-DD.
For dates when the markets are closed, or when the open and close values will be null, and a note parameter is appended.
This just uses the standard internal flask httpd, and performs only minimal input validation. This code not even close to robust enough to expose to the public internet. Consider yourself warned.