Financial Machina

Reactive Publishing
In the age of algorithmic trading and AI-driven decision-making, the investors who win big aren’t guessing, they’re running the numbers at lightning speed. Financial Machina: Python Machine Learning for Finance ,The Definitive 2025 Guide to Profitable Data-Driven Investing arms you with the tools, strategies, and code to do exactly that.
Written by Hayden Van Der Post, MBA, BA, a finance expert and publishing entrepreneur with a track record of predicting market shifts, this book bridges the gap between complex AI models and practical, profitable application in today’s volatile financial markets.
Inside, you’ll learn how to:

• Build predictive models using Python and cutting-edge machine learning libraries.
• Analyze market trends with data science techniques used by hedge funds and institutional traders.
• Automate trading strategies that adapt to shifting market conditions in real time.
• Optimize portfolios with AI-powered risk management.
• Leverage financial data APIs to feed your models with live market intelligence.

With over 400 pages of actionable content, real-world code examples, and step-by-step guides, Financial Machina gives you everything you need to go from concept to cash flow, whether you’re managing your own investments or building professional-grade systems.
This is not theory. This is the playbook for 2025 and beyond.
If you can code, you can compete. If you can model, you can win.