HangukQuant (aka quantpylib’s most prolific contributor) is back from holiday, and that can only mean one thing.

More updates.

Last, we used quantpylib to demonstrate the trading of formulaic alphas on the hyperliquid exchange:

As you know, over the past few weeks to months, we have been developing out the datapoller and gateway packages. As I continue to work out these packages, one of the biggest challenges I face is in maintaining as close to 100% uptime as possible, what with all of the network upgrades and instability.

I realized I need a better logging system so I can debug and run my live systems with more confidence.

So in the weeks to come, quantpylib will start featuring more advanced log systems and observability features. I am considering featuring both the grafana stack and streamlit stack. This should support the usefulness of quantpylib in more advanced trading system architectures, which is part of my vision for quantpylib:

https://hangukquant.github.io/

Join repo here:

HangukQuant Research

Quantpylib incessant ascension