Learn quantitative finance, from the ground up.
A structured program in the mathematics, programming, and market intuition behind systematic trading — built for people who want to build and test real strategies, not just read about them.
Enrollment is by inquiry — email us and we'll send the full syllabus and current pricing.
What you'll learn
Six core areas that take you from data and code to fully backtested strategies.
Python for Finance
Work with market data using pandas and NumPy, and build clean, reproducible research pipelines.
Probability & Statistics
Distributions, hypothesis testing, and statistical inference — the language of quantitative edge.
Time-Series Analysis
Stationarity, autocorrelation, and forecasting techniques applied to real financial series.
Strategy Backtesting
Build, validate, and stress-test trading strategies while learning to avoid overfitting.
Portfolio & Risk
Allocation, position sizing, drawdown, and the risk metrics that keep a strategy alive.
Factor Investing
Construct signals, build cross-sectional models, and evaluate them with sound methodology.
Who it's for
The course assumes curiosity and a willingness to code — not a finance degree.
Aspiring quants
Students and career-changers who want a rigorous, practical foundation in systematic trading.
Software engineers
Developers moving into finance who want to apply their skills to markets and data.
Self-directed traders
Discretionary traders who want to make their process systematic, testable, and repeatable.
Ready to start?
Email us to receive the full syllabus, format details, and current pricing. We'll help you decide if it's the right fit.
Buy Now