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Book synopsis

Reactive Publishing

Algorithmic Trading Recipes in Python delivers practical, ready-to-implement code examples for developing systematic trading strategies across major financial markets.

This book provides a collection of Python recipes covering core techniques used in algorithmic trading. Readers will find working code examples for data handling, strategy implementation, backtesting, and execution workflows tailored to stocks, forex, and cryptocurrency markets.

Whether you are an intermediate Python developer exploring quantitative trading or a trader looking to automate your approaches, these recipes offer concrete starting points and modular building blocks.

What's Inside: • Reproducible Python code examples for common trading tasks
• Strategy frameworks for trend following, mean reversion, momentum, and more
• Data acquisition, cleaning, and feature engineering techniques
• Backtesting and performance evaluation methods
• Market-specific considerations for equities, forex, and crypto

Important Note: Trading involves substantial risk of loss and is not suitable for everyone. The strategies and code in this book are for educational and illustrative purposes only. Past performance does not guarantee future results. Readers should conduct their own research and testing before applying any trading approach with real capital.

Ideal for developers, quantitative enthusiasts, and traders interested in building and testing systematic strategies in Python.

Book details

• Full title: Algorithmic Trading Recipes in Python
• Subtitle: Strategies for Stocks, Forex, and Crypto
• Author: James Preston, Danny Munrow
• Language: English
• Binding: Paperback
• Number of pages: 372
• EAN: 9798183518139
• ID: 52994725
• Publisher: Independently published
• Weight: 450 g
• Dimensions: 229 × 152 × 24 mm
• Date of publishing: 21. June 2026

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