MatheLinuxQuant learning system
Catalog
MatheLinux courses cover probability, stochastic calculus, derivatives pricing, portfolio risk, C++ / HPC, machine learning, and Quant Systems Design with derivations and practice in one place.
One-sitting entry: Stochastic Processes, then calculus and core math.
Foundations ML, special quant, NN lab, quantum, and QML studio.
The math spine — probability, calculus, analysis, linear algebra.
Pricing and market models: jumps, stochastic volatility, microstructure, and XVA.
Allocation, covariance, constraints, risk parity, and portfolio audit work.
Statistical learning for the desk — factor models, credit default, backtest overfitting, deep learning, the factor zoo.
Production C++, systems design, Redis, CDN, load balancing, queues, and market-data architecture.
Additional courses in the catalog.
