Pandas + AI for Finance: Machine Learning-Driven Strategy Design

Reactive Publishing

Pandas + AI for Finance: Machine Learning-Driven Strategy Design
By Hayden Van Der Post
Design the Future of Finance. One Model at a Time.
Pandas + AI for Finance is a cutting-edge guide that bridges data science and market intelligence, empowering you to build machine learning-driven trading systems with precision, clarity, and power. Whether you're a financial analyst, quant, or entrepreneur, this book gives you the tools to move beyond theory and into real-world algorithmic design.
Written by Hayden Van Der Post, a leader in AI-assisted finance publishing, this book delivers practical, actionable techniques for transforming raw market data into deployable, adaptive strategies using Python’s most powerful tools.
What You’ll Learn:

• Master advanced Pandas workflows to structure, reshape, and clean financial datasets at scale
• Implement feature engineering pipelines specific to equities, options, macroeconomics, and crypto
• Train and evaluate machine learning models using scikit-learn, XGBoost, and LightGBM
• Avoid common data leakage traps and overfitting errors in time-series forecasting
• Integrate cross-validation, rolling windows, and walk-forward optimization for true out-of-sample performance
• Explore emerging AI tools and automation frameworks to streamline research and deployment

Who This Book Is For:

• Financial analysts seeking to expand into data-driven strategy design
• Traders and portfolio managers transitioning from intuition to automation
• Engineers and data scientists entering the finance domain
• Researchers building reproducible, scalable pipelines for institutional-grade insights