Update app.py

app.py

@@ -96,6 +96,26 @@ def simulate_tp_strategy_full(starting_balance, trades_min, trades_max, weeks,
     }
 
     return pd.DataFrame(log), summary
+def analytics_dashboard():
+    leaderboard = []
+    for name, config in strategy_presets.items():
+        df, summary = simulate_tp_strategy_full(**config, risk_reward_ratio=2)
+        returns = df['End Balance'].pct_change().dropna()
+        volatility = returns.std() * np.sqrt(52)
+        sharpe = returns.mean() / returns.std() * np.sqrt(52) if returns.std() > 0 else 0
+        peak = df['End Balance'].cummax()
+        dd = (peak - df['End Balance']) / peak
+        max_dd = dd.max() * 100 if not dd.empty else 0
+        final = df['End Balance'].iloc[-1] if not df.empty else config['starting_balance']
+        score = final / (1 + max_dd)
+        leaderboard.append({
+            "Strategy": name,
+            "Final Balance": round(final, 2),
+            "Max DD %": round(max_dd, 2),
+            "Sharpe": round(sharpe, 2),
+            "EdgeCast Score": round(score, 2)
+        })
+    return pd.DataFrame(leaderboard).sort_values("EdgeCast Score", ascending=False).reset_index(drop=True)
 
 
 # UI