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
9 hours · 4 modules
Topics
- Risk-free rate
- Expected return
- Standard deviation
- Variance
- Sharpe ratio
- Beta
2
Market Instruments
12 hours · 4 modules
Topics
- Market microstructure
- Order types
- Bid-ask spread
- Market depth
- Valuation multiples
- Earnings analysis
3
Quantitative Reasoning
15 hours · 4 modules
Topics
- Random variables
- Distributions
- Expected value
- Bayes theorem
- Central limit theorem
- Law of large numbers
4
Strategy Design
18 hours · 4 modules
Topics
- Signal generation
- Rule formalization
- Threshold optimization
- Look-ahead bias
- Signal combination
- Rule decay
5
Portfolio Management
15 hours · 4 modules
Topics
- Efficient frontier
- Mean-variance optimization
- Capital market line
- Maximum Sharpe portfolio
- Portfolio constraints
- Kelly Criterion
6
Advanced Quantitative
18 hours · 4 modules
Topics
- Gradient boosting
- Random forests
- Neural networks
- Feature engineering
- Cross-validation
- Overfitting detection
7
Competition Preparation
15 hours · 4 modules
Topics
- Cross-validation
- Regularization
- Feature selection
- Data snooping
- False discovery rate
- Deflated Sharpe ratio