feat: instrument model

backend/services/instrument_models.py

@@ -1112,6 +1112,7 @@ def simulate_timeline(
     while cur <= today:
         # Accumule les events virtuels (What-if) actifs ce jour
         ev_by_cat: dict[str, float] = {}
+        active_events_detail: list[dict] = []
         for ev in events:
             if ev["ev_date"] > cur:
                 continue
@@ -1123,8 +1124,17 @@ def simulate_timeline(
             df   = _lifecycle(days, ev["rise"], ev["plateau"], ev["absorption"], ev["dtype"])
             if df < 0.01:
                 continue
-            cat = ev["category"]
-            ev_by_cat[cat] = ev_by_cat.get(cat, 0.0) + round(ev["pips"] * df, 2)
+            cat          = ev["category"]
+            contribution = round(ev["pips"] * df, 2)
+            ev_by_cat[cat] = ev_by_cat.get(cat, 0.0) + contribution
+            active_events_detail.append({
+                "label":            ev["label"],
+                "pips":             ev["pips"],
+                "lifecycle_factor": round(df, 3),
+                "contribution":     contribution,
+                "date":             str(ev["ev_date"]),
+                "category":         cat,
+            })
 
         if ev_by_cat:
             # Des events virtuels sont actifs → recalcul complet avec régime
@@ -1149,6 +1159,7 @@ def simulate_timeline(
             "synthetic_price":   round(price_intercept + start_offset + net * pip_to_price, 6),
             "regime":            regime_label,
             "nodes":             {k: round(float(v), 1) for k, v in vals.items()},
+            "active_events":     active_events_detail,
         })
         cur += timedelta(days=1)