About
Unlock the combined power of software development and mathematical modeling in trading with our "Quant & Code: Advanced Software Development & Mathematical Strategies for Trading." This expert-level course is crafted for tech-savvy traders, developers, and quants ready to bring a systematic, data-driven edge to their trading operations. Whether you're coding custom indicators, developing algorithmic strategies, or modeling edge cases using math and statistics, this program offers the knowledge and tools you need to build, test, and refine your own trading systems using TradingView and other cutting-edge platforms. Our program blends software engineering best practices with quantitative analysis, covering a full stack of tools from Pine Script to Python integrations, as well as robust statistical frameworks for strategy validation. Key Highlights: In-depth modules on algorithmic trading, quant models, and software automation for strategy execution. Learn how to code and deploy custom indicators and strategies using Pine Script and integrate with external tools via APIs. Apply mathematical frameworks such as regression analysis, volatility modeling, and probability theory to enhance your trading edge. Personalized mentorship from trading engineers and quants with real-world experience. Live coding labs and data sessions to reinforce concepts with practical examples. Access to exclusive tools like code templates, backtest performance dashboards, and integration snippets. Interactive support and office hours to troubleshoot your ideas and refine your systems. At eBacktesting.com, we believe in empowering traders with the technical and analytical skills they need to thrive in today’s fast-moving markets. Our course is fully accessible and supports learners of all levels—from developers transitioning into trading to traders learning to code. Join us now and level up your trading with logic, code, and precision. Backed by our 7-day money-back guarantee, you can
You can also join this program via the mobile app. Go to the app