Quant Learning Pathway
A structured 7-level curriculum that takes you from financial foundations to competition-ready. Every module ends with a practical competition submission.
1
Financial Foundations
6 hours · 4 modules
Modules
- Risk & Return
- Compounding & Discounting
- Diversification
- Asset Classes Overview
Topics
- Time value of money
- Risk-free rate
- Expected return
- Standard deviation
- Correlation
2
Market Instruments
8 hours · 4 modules
Modules
- Equity Markets
- Debt & Fixed Income
- Derivatives Overview
- Commodities & Forex
Topics
- Stock valuation
- Bond pricing
- Futures & forwards
- Options basics
- Swaps
3
Quantitative Reasoning
10 hours · 4 modules
Modules
- Probability Theory
- Statistical Inference
- Regression Analysis
- Hypothesis Testing
Topics
- Distributions
- Bayes theorem
- Linear regression
- Time series basics
- p-values
4
Strategy Design
12 hours · 4 modules
Modules
- Trading Rules
- Technical Indicators
- Entry/Exit Logic
- Backtesting Methodology
Topics
- Momentum strategies
- Mean reversion
- Breakout systems
- Walk-forward analysis
- Transaction costs
5
Portfolio Management
10 hours · 4 modules
Modules
- Modern Portfolio Theory
- Position Sizing
- Risk Parity
- Drawdown Management
Topics
- Efficient frontier
- Kelly criterion
- VaR & CVaR
- Portfolio rebalancing
- Stress testing
6
Advanced Quantitative
16 hours · 4 modules
Modules
- ML for Finance
- Factor Models
- Options Pricing
- Volatility Modeling
Topics
- Gradient boosting
- PCA for factors
- BSM & Heston
- GARCH models
- IV surface
7
Competition Preparation
8 hours · 4 modules
Modules
- Overfitting Prevention
- Regime Analysis
- Submission Strategy
- Code Optimization
Topics
- Cross-validation
- Regime consistency
- Ensemble methods
- Feature engineering
- Risk management