Introduction to Algo Trading – Independently Published (2018)

Take your first step into the world of algorithmic trading with this comprehensive algorithmic trading for beginners guide. Whether you’re a curious investor, data enthusiast, or aspiring quant, this independently published book demystifies the core concepts of algorithmic trading and shows you how to begin developing and testing trading strategies using simple tools and logic.

What You’ll Learn

• The fundamentals of algorithmic and quantitative trading
• Basic financial markets and trading concepts
• How to design and implement a simple trading algorithm
• Backtesting strategies using historical data
• Understanding risk management in algorithmic systems
• Tools and platforms available for algo trading
• Key regulatory considerations and trading ethics

Requirements

• No prior trading or programming experience is required
• Basic familiarity with computers and spreadsheets is helpful
• An interest in finance, data analysis, or automated systems

Book Description

This algorithmic trading for beginners book offers a practical, no-jargon introduction to the fast-evolving world of automated trading. Authored independently in 2018, the guide is designed to help non-technical readers and aspiring traders understand how algorithms are used to make data-driven trading decisions.

You’ll explore real-world use cases, basic strategy creation, and essential tools for building and testing your own systems. Without diving too deeply into code, the book emphasizes logical thinking, risk analysis, and structured decision-making. It’s ideal for readers who want to get familiar with algo trading before progressing to more complex implementations in Python, R, or specialized platforms.

By the end of this book, you’ll have the foundational knowledge needed to explore, experiment, and even begin developing your own trading algorithms confidently and ethically.

About the Author

This title is written by a self-taught algo trader passionate about demystifying finance and empowering others to take control of their trading journey. With a focus on practical learning and accessibility, the author delivers clear and concise insights into what is often considered a complex domain.

Explore These Valuable Resources

• Investopedia: What is Algorithmic Trading?
• QuantStart – Learn Quantitative Finance and Algo Trading
• Bloomberg Markets – Financial Market Data

Explore Related Courses

• Python for Financial Modeling
• Algorithmic Trading Strategies
• Introduction to Data Science
• Risk Management in Finance
• Backtesting Trading Algorithms