pyfreak182

Thank you for your feedback. The Alpaca and Yahoo Finance APIs are provided as examples for convenience to help users get started with PyBroker, as they offer free data. However, PyBroker is data source agnostic, and it is possible to load data from any provider into a Pandas DataFrame and use it with PyBroker. See this notebook on creating custom data sources: https://www.pybroker.com/en/latest/notebooks/7.%20Creating%2...

WRT trade execution, PyBroker is currently only designed for backtesting and analysis right now.

Right now this framework is designed for the research side of trading and not for execution, meaning it is intended to be used for analysis and modeling using Python.

You can use fundamental data by registering your own custom data columns with PyBroker. See this notebook for details on using your own data source: https://www.pybroker.com/en/latest/notebooks/7.%20Creating%2...

Once you do that, you can write a strategy that ranks stocks using your custom data. See this notebook about ranking: https://www.pybroker.com/en/latest/notebooks/4.%20Ranking%20...

Thanks! Interesting, I will have to take a look at this tool.

Thank you! Not to my knowledge, I recently released this publicly.