Let Data Drive Decisions
Quantitative investing uses mathematical models and data analysis to make investment decisions, removing emotional bias.
Core Concepts
- Factors: Characteristics like value, momentum, quality that predict returns
- Backtesting: Testing strategies on historical data
- Risk Models: Understanding and controlling portfolio risk
- Diversification: Spreading bets across many positions
Common Factor Strategies
Value (buying cheap stocks), Momentum (buying winners), Quality (buying profitable companies), and Low Volatility (buying stable stocks) are well-researched factors.
Getting Started
You don't need to code. Factor ETFs and screeners make quantitative approaches accessible to individual investors.