Python for Finance: Automated Trading, Backtesting, and Portfolio Management

By: Sander, Raphael

Modern finance runs on code. Python is the language that powers it.

From quantitative trading desks to personal investment strategies, Python has become the foundation of modern financial analysis and automation. This book provides a practical, end-to-end guide to using Python for automated trading, backtesting strategies, and portfolio management.

Python for Finance focuses on real-world workflows used by analysts, quants, and developers-bridging the gap between theory and executable systems.

What You'll Learn in This Book

Using Python for financial data analysis

Building and testing automated trading strategies

Designing reliable backtesting frameworks

Working with time series market data

Risk management and performance evaluation

Portfolio construction and optimization basics

Turning research code into repeatable processes

The emphasis is on sound methodology and reproducibility, not hype or shortcuts.

Who This Book Is For

This guide is ideal for:

Finance professionals and analysts

Aspiring quantitative traders

Python developers entering finance

Data scientists working with financial data

Individual investors building systematic strategies

Basic Python knowledge is helpful but not required.

Why Python Dominates Modern Finance

Python is widely used in finance because it enables:

Rapid data exploration and modeling

Integration with market data sources

Automation of research and execution

Transparent, auditable analysis

This book teaches you how to use Python responsibly in financial contexts, with a focus on robustness and risk awareness.

• Format: Paperback
• Language: English
• ISBN: B0GJDYXPX1
• ISBN13: 9798245223742
• Release Date: January 2026
• Publisher: Independently Published
• Length: 190 Pages
• Weight: 0.58 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"