Show HN: PyBroker – Algotrading in Python with Machine Learning

Hello, I am excited to share PyBroker with you, a free and open-source Python framework that I developed for creating algorithmic trading strategies, including those that utilize machine learning. With PyBroker, you can easily develop and fine-tune trading rules, build powerful ML models, and gain valuable insights into your strategy's performance. Some of the key features of PyBroker include: - A super-fast backtesting engine built using NumPy and accelerated with Numba. - The ability to create and execute trading rules and models across multiple instruments with ease. - Access to historical data from Alpaca and Yahoo Finance. - The option to train and backtest models using Walkforward Analysis, which simulates how the strategy would perform during actual trading. The basic concept behind Walkforward Analysis is that it splits your historical data into multiple time windows and then "walks forward" in time in the same way that the strategy would be executed and retraine