Learn by watching the models break.
Interactive, step-by-step coding labs in quant finance. Build each formula from scratch in Python, execute tests in the browser, see beautiful visuals, and examine exactly where standard exam models collapse under reality.
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Q-Learning & Deep Hedging
See why classic delta hedging bleeds cash under transaction costs. Build tabular Q-learning and J.P. Morgan's Deep Hedging neural policies, multi-step rollouts, and CVaR tail risk minimization from scratch.
Markowitz & Hierarchical Risk Parity (HRP)
See why correlation collinearity makes Markowitz weights explode into extreme leverage. Build Marcos López de Prado's correlation distance metric, matrix quasi-diagonalization, and recursive bisection HRP from scratch.
Black-Scholes & Terence Tao Replicating Bounds
Master option pricing through Terence Tao's discrete replication lemma. Code intrinsic payoffs, discrete delta hedge ratios, Black-Scholes analytical formulas, and put-call parity without stochastic calculus.
Regression Asymmetry & Collider Bias
Uncover De Prado's regression asymmetry (why Y~X is never the inverse of X~Y) and simulate collider DAGs where selection filters manufacture fake statistical significance in backtests.
Kelly Sizing & Ruin
A coin wins 55 times out of 100 — a genuinely profitable bet. Watch compounding turn "bet more" into near-certain ruin, find the Kelly fraction yourself, and see why professionals bet only half of it.