LEARN THE MODEL.
CHALLENGE THE HEDGE.
Choose a track, keep the essential lesson visible, and open derivations or implementation only when you need the depth.
Probability, measures & pricing
A rigorous route from distributions and stochastic calculus through Black–Scholes, conditional expectation, Girsanov and forward-measure pricing.
View all 9 stages
Volatility
A sequenced path through measurement, option-implied coordinates, surface construction, dynamics, calibration and hedge risk.
View all 12 stages
Rates & curves
A sequenced rates path through conventions, overnight compounding, products, curve construction, multi-curve valuation, risk and no-arbitrage dynamics.
View all 13 stages
Numerical finance
Reproducible Monte Carlo, SDE schemes, variance reduction and transform pricing with visible error controls.
Greeks & hedging
Desk-unit Greeks, nonlinear cross-risk and a discrete hedging loop with explicit costs and residuals.
Risk & xVA
Portfolio exposure, counterparty and funding adjustments, tail metrics and the controls that make model outputs defensible.
Explore every concept.
The existing typed catalog remains intact beneath the sequenced flagship curriculum.
⌘K Search by concept, model, instrument or tag.
Rough Volatility
Very low regularity volatility models aligned with observed short-scale behaviour.
AAD
Adjoint algorithmic differentiation for many sensitivities at near-constant reverse cost.
Differentiable Pricing
Pricing systems designed for gradients across models and parameters.
Machine Learning Surrogates
Fast learned approximations to expensive pricing maps.
Deep Hedging
Learn hedging policies under frictions and non-quadratic objectives.
Neural SDEs
Stochastic differential equations with learned functional components.
Bayesian Calibration
Infer parameter distributions rather than one best-fit point.
GPU Monte Carlo
Parallel simulation and payoff evaluation on graphics processors.