Introduction to Quant Trading

Learning Objectives

Learn the core concepts behind quantitative trading and how systematic strategies are designed, evaluated, and managed using data-driven techniques, including:

Understanding the fundamentals of quantitative trading and systematic strategy design
Measuring performance using key metrics such as Sharpe ratio and turnover
Working with futures contracts and understanding market structure
Building and evaluating momentum-based trading strategies
Applying volatility scaling to control and normalize risk
Constructing diversified portfolios across instruments and signals
Designing and combining trading signals for improved robustness
Implementing practical risk management techniques
Introducing machine learning concepts for quantitative trading applications

Prerequisites

This course has been designed so that no prior quantitative trading experience is required. A basic understanding of financial markets and some familiarity with programming or data analysis concepts will be helpful but is not mandatory. All necessary concepts are introduced progressively throughout the course, with additional learning resources provided where appropriate.

Who is this course for?

This course is ideal for users who want to understand how quantitative trading strategies work in practice. It is suited for:

Aspiring quantitative traders and researchers
Developers and data scientists interested in financial markets
Students and professionals transitioning into systematic trading
Anyone looking to gain a practical, data-driven understanding of modern trading strategies

What do I receive for taking this course?

At the end of each lesson, you will complete a short quiz to test your understanding of the material.

To complete the course, you need to achieve at least 80% in all quizzes then you will receive a Certificate of Achievement that will be displayed on your KX Academy profile. You can also download the certificate and share it on social media or LinkedIn.