Diagnostic & Onboarding
Rate your current ability honestly (be wary of the illusion of competence - Phase 0.1). This produces a recommended starting point and a personalized study plan. Nothing is ever locked; you can jump anywhere.
1. Skills self-assessment
Rate each area. The recommendation targets your weakest prerequisite rather than where you feel comfortable.
1. Arithmetic & mental math
2. Algebra & functions
3. Trigonometry
4. Mathematical notation & logic
5. Proof techniques
6. Single-variable calculus
7. Multivariable calculus
8. Linear algebra
9. Probability
10. Statistics
11. Programming (general)
12. Python specifically
13. Financial markets
14. Time series
15. Quantitative reasoning
2. Confidence & goals
How confident are you tackling proof-based mathematics?
Weekly study time available
Preferred pace
3. Choose your pathway(s)
The common mathematical core (Phases 0–9) is strongly recommended for all pathways. Your pathway reorders the applied phases toward your goal.
Mathematical finance
Pricing, hedging, risk-neutral valuation
Derivatives & volatility
Smiles, surfaces, local/stochastic vol
Statistical learning
ML for prediction, model risk
Time-series research
Forecasting, GARCH, cointegration
Algorithmic trading
Microstructure, execution, backtesting
High-frequency trading
LOB dynamics, market making, latency
Quantitative development
Research engineering, performance, pipelines