Learn Algorithmic Trading

الوصف

Learn Algorithmic Trading: Understand the Fundamentals to Apply Algorithms to Real Market Data

Design, Build, and Deploy Profitable Automated Trading Strategies in Live Markets

:Book Summary

“Learn Algorithmic Trading” is a practical and in-depth guide to understanding how modern electronic markets operate and how algorithmic trading systems are designed, tested, and deployed. In today’s competitive financial landscape, speed, automation, and data-driven decisions define success. This book explains how trading algorithms, predictive models, and quantitative strategies create a measurable edge in financial markets.

Starting with the fundamentals of algorithmic trading, the authors walk you through setting up a proper development environment and understanding the core components of an automated trading business. You will explore how trading signals are generated, how machine learning models enhance decision-making, and how professional-grade strategies such as volatility trading, economic release strategies, and statistical arbitrage are implemented. By the end, you will build a fully functional trading bot in Python, test it using a backtesting engine, and prepare it for live market deployment with proper risk management controls.

?What Will You Discover in This Book

• The essential components of modern algorithmic trading systems and market structure.

• How to design, build, and operate automated trading strategies from scratch.

• Application of machine learning techniques in developing predictive trading signals using Python.

• Implementation of classical strategies such as mean reversion and trend-following.

• Development of advanced strategies including volatility trading and statistical arbitrage.

• How to build a robust risk management framework to protect trading capital.

• Creation of a backtesting engine to simulate strategies before live deployment.

• Techniques for connecting to exchanges and running strategies in real-time markets.

?Why You Should Read This Book

If you want to understand algorithmic trading beyond theory, this book provides a structured, hands-on approach. It bridges the gap between financial markets and software engineering, allowing readers to combine coding skills with quantitative finance principles. Instead of relying on black-box systems, you will learn how to build, test, and evaluate your own strategies with measurable performance metrics. The book emphasizes risk management, system design, and adaptability—critical habits for long-term trading success. Whether you aim to become a quantitative trader, develop trading bots, or launch an automated trading business, this guide delivers the technical and strategic foundation required for real-world application.

About the Author:

Sébastien Donadio is a quantitative finance specialist and technology entrepreneur with expertise in electronic trading systems and financial data infrastructure. His work focuses on bridging financial markets with advanced software engineering, helping traders and institutions build scalable automated systems.

Sourav Ghosh is a technology and finance professional specializing in algorithmic trading, machine learning applications in finance, and quantitative strategy development. With a background in software engineering and financial markets, he contributes practical insights into building and deploying robust trading systems. Together, the authors combine technical depth with market experience to provide a comprehensive roadmap for aspiring algorithmic traders.