Market time series data is stored in a completely different way. In fact, I would say it is prepared rather than stored. Each data item only needs to be written once and after that never needs to be modified or changed. Data items can be written sequentially, there is no need to insert anything in the middle. It needs no ACID functionality at all. They have little to no references out to any other data. The time series is effectively its own thing.

Ever since Yahoo! Finance decommissioned their historical data API, Python developers looked for a reliable workaround. As a result, my library, yfinance, gained momentum and was downloaded over 100,000 acording to PyPi.

An event is a specific activity that triggers a workflow. For example, activity can originate from GitHub when someone pushes a commit to a repository or when an issue or pull request is created. You can also use the repository dispatch webhook to trigger a workflow when an external event occurs. For a complete list of events that can be used to trigger workflows, see Events that trigger workflows.