1. Analyze trader performance in different sentiment regimes (e.g., Fear, Greed, Extreme conditions) 2. Identify traders who consistently respond well to market shifts or show contrarian strength 3. Detect correlations between sentiment indicators and trading outcomes (PnL, win rate, risk, profit factor, Sharpe ratio, maximum drawdown, trading frequency, ROI, etc.) 4. Generate ranked lists of traders based on performance under specific sentiment classes or trend types 5. Present insights in well-structured reports or dashboards to support strategy