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Python for Finance: Automated Trading, Backtesting, and Portfolio Management
Paperback
Investing & FinanceProgramming
Publisher: Independently Published
Published: Jan 23 2026
Pages: 190
Weight: 0.58
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English
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.
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