Education

An overview of financial markets, instruments, and key participants. Topics include equity markets, fixed income, derivatives, and market microstructure.

Foundations of algorithmic trading including order types, execution strategies, and market making. Covers the technology stack behind trading systems and backtesting frameworks.

Statistical methods for analyzing financial time series data. Topics include stationarity, autocorrelation, ARIMA models, and GARCH volatility modeling.

Techniques for transforming raw financial data into predictive features. Covers technical indicators, fundamental ratios, and feature selection methods.

Probability theory and computational statistics applied to finance. Topics include Monte Carlo simulation, bootstrapping, and Bayesian inference.

Modern portfolio theory and beyond. Covers mean-variance optimization, risk parity, Black-Litterman model, and factor investing.