Multi-Factor Experiment: Understanding Market Behavior Through Data

Single trading signals often fail across market conditions. This multi-factor strategy combines momentum, volatility, and trend strength to improve stability and reduce drawdowns. By standardizing and aggregating signals, the approach adapts to both trending and sideways markets. The result is smoother performance, better risk control, and more robust trading strategies.