Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies (Packt 2021)
A short book outlining the key Python libraries used for backtesting of financial trading algos, along with fourteen implemented profitable strategies. Check this Jupyter Notebook for yourself. Read introduction of the book.
Primary Target audience:
- Anybody curious about financial/algorithmic trading who has not yet found the ideal environment for experimenting with the market data and trading strategies.
- Professional asset managers and traders migrating to Python from any other programming language or any other Python backtesting framework.