Factor & Alpha Trading Strategies
Quantitative Signal-Based Portfolio Construction
Factor and alpha strategies use quantitative signals derived from financial data to predict asset returns. These strategies exploit systematic risk premia and market inefficiencies through statistical factor models and signal-based portfolio construction.
How factor algorithms connect across libraries
How factor algorithms work together in a trading system
Factor Computation
Alpha signal generation
Asset Scoring
Cross-sectional ranking
Portfolio Construction
Position allocation
Rebalancing
Periodic adjustment
Risk Control
Exposure management
Compare factor algorithms across key dimensions
| Metric | Alpha158Qlib (Microsoft) | Alpha360Qlib (Microsoft) | TopkDropoutStrategyQlib (Microsoft) | Warren Buffett AgentAI Hedge Fund | Charlie Munger AgentAI Hedge Fund |
|---|---|---|---|---|---|
| Complexity | βββintermediate | βββintermediate | βββintermediate | βββintermediate | βββintermediate |
| Prediction Type | Mixed | Mixed | Mixed | Mixed | Mixed |
| Training Speed | β‘β‘ | β‘β‘ | β‘β‘ | β‘β‘ | β‘β‘ |
| Accuracy | ππ | ππ | ππ | ππ | ππ |
| Best For | General purpose | General purpose | General purpose | General purpose | General purpose |
Qlib (Microsoft)
Collection of 158 technical alpha factors including price, volume, and volatility features.
qlib/contrib/data/handler.pyExtended collection of 360 technical alpha factors for comprehensive feature engineering.
qlib/contrib/data/handler.pyAI Hedge Fund
Value investing agent analyzing intrinsic value, margin of safety, and fundamental metrics.
Factor & Alpha Trading Strategies β Algorithm Reference
- Alpha158 (Qlib (Microsoft))
- Collection of 158 technical alpha factors including price, volume, and volatility features. Source: https://github.com/microsoft/qlib/blob/main/qlib/contrib/data/handler.py.
- Alpha360 (Qlib (Microsoft))
- Extended collection of 360 technical alpha factors for comprehensive feature engineering. Source: https://github.com/microsoft/qlib/blob/main/qlib/contrib/data/handler.py.
- TopkDropoutStrategy (Qlib (Microsoft))
- Top-K stock selection with random dropout for portfolio diversification. Key parameters: topk (Number of stocks to hold), n_drop (Number of stocks to randomly drop). Source: https://github.com/microsoft/qlib/blob/main/qlib/contrib/strategy/signal_strategy.py.
- Warren Buffett Agent (AI Hedge Fund)
- Value investing agent analyzing intrinsic value, margin of safety, and fundamental metrics. Source: https://github.com/virattt/ai-hedge-fund.
- Charlie Munger Agent (AI Hedge Fund)
- Quality analysis agent focusing on competitive moats, management quality, and business economics. Source: https://github.com/virattt/ai-hedge-fund.