Tick Data Management
Note: we are currently running the 50% discount on our quantpylib repo pass:
https://hangukquant.thinkific.com/courses/quantpylib
In the last post:
we discussed how to do data archival using the feed scheduler with only one line of additional code. This post - we add on and show how to do backup and restoration from cloud database with quantpylib’s seamless user interface.
In the next post, we will discuss and reveal the newly powered tick data replayer and simulator, and demonstrate how this can be used for tick-data modelling, backtesting and market trading in a unified codebase.
My vision is that quantpylib will one day be a one-stop powerhouse for all things quantitative dev, research and trading. Democratize institutional infrastructure.
The tutorial is written here:
https://hangukquant.github.io/scripts/tick_archival/
cheers~