Update app.py

app.py

@@ -132,22 +132,44 @@ def equity_curve_plot(df, label="Equity Curve"):
     fig.update_layout(title=f"📈 {label}", xaxis_title="Week", yaxis_title="Balance ($)", height=400)
     return fig
 
-def generate_histogram(metric="EdgeCast Score"):
-    results = []
+def generate_histogram(metric="EdgeCast Score", runs=100):
+    all_metrics = []
     for name, config in strategy_presets.items():
-        _, summary = simulate_tp_strategy_full(
-            config["starting_balance"], config["trades_min"], config["trades_max"], config["weeks"],
-            config["tp1_prob"], config["tp2_prob"], config["tp1_r"], config["tp2_r"],
-            config["base_risk_pct"], config["profit_target"], config["fatigue"], config["trump_vol"]
-        )
-        summary["Strategy"] = name
-        results.append(summary)
-    df = pd.DataFrame(results)
+        for _ in range(runs):
+            _, summary = simulate_tp_strategy_full(
+                config["starting_balance"], config["trades_min"], config["trades_max"], config["weeks"],
+                config["tp1_prob"], config["tp2_prob"], config["tp1_r"], config["tp2_r"],
+                config["base_risk_pct"], config["profit_target"], config["fatigue"], config["trump_vol"]
+            )
+            if metric in summary:
+                all_metrics.append({
+                    "Strategy": name,
+                    metric: summary[metric]
+                })
+
+    df = pd.DataFrame(all_metrics)
+
+    fig = px.histogram(
+        df,
+        x=metric,
+        color="Strategy",
+        marginal="box",
+        opacity=0.75,
+        barmode="overlay",
+        nbins=30,
+        title=f"📊 Distribution of {metric} Across Strategies"
+    )
+
+    fig.update_layout(
+        xaxis_title=metric,
+        yaxis_title="Count",
+        bargap=0.1,
+        height=500
+    )
 
-    fig = px.histogram(df, x=metric, color="Strategy", marginal="box", opacity=0.7, barmode="overlay")
-    fig.update_layout(title=f"📊 {metric} Histogram", xaxis_title=metric, yaxis_title="Count", height=500)
     return fig
 
+
 def histogram_viewer_ui(metric):
     return generate_histogram(metric)