Book

Practical Algorithmic Trading with Node.js

A practical guide for turning data, strategy design, and execution infrastructure into a real trading system.

About the Author

Lee Bailey

Founder @ Grizzly Bulls

I come from a Computer Science background, holding both a B.S. and M.S. from Wake Forest University.

While I've spent more than a decade as a software engineer, my primary passion has always been the financial markets.

I've been trading for more than 15 years. In early 2020, I decided to apply my knowledge of markets, machine learning and engineering to build our first algorithmic trading models.

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About the Book

A practical way to get started with algorithmic trading.

Practical Algorithmic Trading with Node.js walks through the full lifecycle of building and deploying trading strategies with the Node.js ecosystem, whether you're new to the field or sharpening an existing edge.

You'll learn how to acquire and prepare data, design strategies, backtest rigorously, build execution workflows, and manage real-world risk. The book also covers technical analysis, macro indicators, machine learning concepts, and practical implementation details.

It ties together trading theory, software engineering, and production-minded architecture so you can move beyond toy examples and toward systems you can actually trust. If you're ready to go deeper, you can also explore related tools and content throughout the broader Grizzly Bulls platform.

Chapter Preview

Chapter 1: Getting Started with Node.jsLearn the basics of Node.js and how to set up your development environment for algorithmic trading.
Chapter 2: Understanding Algorithmic TradingExplore the fundamentals of algorithmic trading, including key concepts, strategies, and market dynamics.
Chapter 3: Data Acquisition and PreparationDiscover techniques for acquiring and preparing data for algorithmic trading and backtesting.
Chapter 4: Backtesting Algorithmic Trading StrategiesLearn how to design and implement backtesting frameworks to evaluate the performance of trading strategies.
Chapter 5: Technical Analysis with Node.jsExplore the principles of technical analysis and how to apply them using Node.js for effective trading decisions.
Chapter 6: Using Macroeconomic Indicators for Algorithmic Trading in Node.jsDiscover how to leverage macroeconomic indicators and integrate them into algorithmic trading strategies using Node.js.
Chapter 7: Examples of Algorithmic Trading StrategiesExplore real-world examples of algorithmic trading strategies and understand their implementation and performance.
Chapter 8: Implementing the Execution FrameworkLearn how to build a robust execution framework for live trading using Node.js and integrate with trading platforms.
Chapter 9: Performance Optimization and ScalabilityOptimize the performance and scalability of your algorithmic trading system to handle large-scale trading operations.
Chapter 10: Security and Risk ManagementUnderstand the importance of security and risk management in algorithmic trading and learn best practices to protect your investments.