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.

Topic 01 · Reinforcement Learning & Deep Hedging
Reinforcement Learning BETA · FREE ACCOUNT

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.

Topic 02 · Portfolio Theory & Asset Allocation
Portfolio ALPHA · OPEN ACCESS

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.

Topic 03 · Option Pricing & Derivatives
Derivatives ALPHA · OPEN ACCESS

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.

Topic 04 · Empirical Methods & Causal Inference
Regression ALPHA · OPEN ACCESS

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.

Topic 05 · Position Sizing & Bankroll Survival
Position Sizing BETA · FREE ACCOUNT

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.