feat: instrument model

backend/services/instrument_models.py

@@ -1015,12 +1015,14 @@ def get_model_state(conn, instrument: str, at_date: Optional[str] = None) -> Opt
 def simulate_timeline(
     conn, instrument: str, period: str = "1y",
     virtual_events: Optional[list] = None,
+    start_date: Optional[str] = None,
 ) -> list[dict]:
     """
     Simulate all node values day by day over the period.
     Returns [{date, nodes: {id: value}, net_pips}].
     Uses lifecycle (rise/plateau/decay) for event contributions.
     Manual overrides are static (applied uniformly across the period).
+    start_date overrides the period-based date_from when provided.
     """
     inst_upper = instrument.upper()
     row = conn.execute(
@@ -1033,9 +1035,15 @@ def simulate_timeline(
     output_id = graph_def["output_node"]
 
     period_days = {"5d":7,"1mo":35,"3mo":95,"6mo":190,"1y":370,"2y":740}
-    lookback = period_days.get(period, 370)
-    today    = datetime.utcnow().date()
-    date_from = today - timedelta(days=lookback)
+    lookback  = period_days.get(period, 370)
+    today     = datetime.utcnow().date()
+    if start_date:
+        try:
+            date_from = date_type.fromisoformat(start_date[:10])
+        except ValueError:
+            date_from = today - timedelta(days=lookback)
+    else:
+        date_from = today - timedelta(days=lookback)
 
     # Load overrides (static)
     overrides = {r["node_id"]: dict(r) for r in conn.execute(
@@ -1107,6 +1115,10 @@ def simulate_timeline(
         for ev in events:
             if ev["ev_date"] > cur:
                 continue
+            if ev["ev_date"] < date_from:
+                # Events avant la fenêtre ne portent pas de lifecycle dans la simu
+                # (leur impact est absorbé dans l'auto-anchor du prix de départ)
+                continue
             days = (cur - ev["ev_date"]).days
             df   = _lifecycle(days, ev["rise"], ev["plateau"], ev["absorption"], ev["dtype"])
             if df < 0.01: