fix: Dashboard cycle coherence — scoring_run_id linkage + cycle-scoped cards

- Backend: get_status() now resolves scoring_run_id by querying
  trade_entry_prices within the cycle time window, fixing the mismatch
  between cycle run_id and the id actually written to trades
- Dashboard: Trades du cycle filters by scoring_run_id (no stale fallback)
- Dashboard: Pattern du cycle shows only patterns added in last cycle
  (created_at >= started_at), renamed from Top Patterns
- Dashboard: Dernier Cycle now shows 4 stats (patterns/scorés/loggés/fermés)
  + IA commentary snippet
- Dashboard: P&L simulated mode bottom half shows open/closed/capital/profit
- Dashboard: Régime Macro shows top 4 scenario score bars

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/services/auto_cycle.py

@@ -1090,6 +1090,25 @@ def get_status() -> Dict[str, Any]:
     recent = get_cycle_runs(limit=1)
     last = recent[0] if recent else None
 
+    # Enrich last_cycle with the scoring_run_id used for trade_entry_prices
+    if last:
+        try:
+            from services.database import get_conn
+            _conn = get_conn()
+            started = (last.get("started_at") or "").replace(" ", "T")
+            completed = last.get("completed_at") or ""
+            if started and completed:
+                row = _conn.execute(
+                    "SELECT run_id FROM trade_entry_prices WHERE run_id >= ? AND run_id <= ?"
+                    " ORDER BY run_id DESC LIMIT 1",
+                    (started, completed),
+                ).fetchone()
+                if row:
+                    last = dict(last)
+                    last["scoring_run_id"] = row["run_id"]
+        except Exception:
+            pass
+
     return {
         **_current_status,
         "enabled": enabled,