Yelena Lyubaya is a system focused trader, technology professional, and automation enthusiast with a strong background in building scalable, data-driven solutions. With years of experience in software engineering, DevOps, and financial markets, she specializes in combining technology and trading to create simple, rule-based strategies that remove emotion from decision-making.

Rather than relying on guesswork or complex theories, Yelena focuses on practical, real-world approaches to trading. She has worked extensively with APIs, market data providers, and automation tools to design trading systems that can scan, analyze, and execute trades efficiently.

Through this course, Yelena brings a unique perspective—bridging the gap between traditional trading and modern AI-driven workflows. By leveraging tools like ChatGPT and Python, she helps beginners and intermediate traders turn ideas into working strategies without requiring advanced programming skills.

Yelena believes that successful trading is not about predicting the market, but about building disciplined systems and managing risk effectively. Her teaching style is clear, structured, and focused on simplicity, making complex concepts accessible to anyone willing to learn.

Whether you are new to trading or looking to transition into automation, Yelena provides the tools, mindset, and framework needed to move from manual trading to system-based execution.