Advanced Quantitative Trading with Python, yfinance, and Backtrader

by Ali Azary

Overview

Dive deep into the world of algorithmic trading and unlock sophisticated strategies with Python. This comprehensive guide takes you beyond the basics, exploring advanced techniques and practical implementations using industry-standard tools like `yfinance` for data acquisition and `Backtrader` for robust backtesting.

Whether you're a retail trader looking to automate your strategies, a finance student aiming to build practical skills, or a developer transitioning into quantitative finance, this book provides the actionable knowledge you need. Move from simple models to complex, data-driven trading algorithms.

What You'll Learn

• Mastering data fetching and manipulation with `yfinance` and `pandas`.
• Implementing advanced technical indicators and signal generation logic.
• Building robust backtesting environments using the powerful `Backtrader` framework.
• Developing and testing sophisticated strategies like pairs trading, momentum, and mean reversion.
• Understanding risk management techniques crucial for algorithmic trading.
• Structuring your Python trading code for scalability and maintainability.
• Practical, real-world examples and step-by-step code walkthroughs.

Level Up Your Trading Game

Stop relying on intuition alone. Harness the power of data and computation to build, test, and deploy quantitative trading strategies. This book equips you with the advanced tools and techniques used by professionals to navigate today's complex markets. Gain a competitive edge with practical Python skills.