feat: wavelets

backend/services/auto_cycle.py

@@ -1016,6 +1016,17 @@ def run_cycle_once(trigger: str = "auto") -> Dict[str, Any]:
         except Exception as _ce:
             logger.warning(f"[Cycle] Régime clustering failed (non-blocking): {_ce}")
 
+        # ── Step 5.7: Wavelet signal scan (watchlist instruments) ────────────
+        _wavelet_results: list = []
+        try:
+            from services.wavelet_signals import compute_and_save_wavelet_signals
+            _wavelet_results = compute_and_save_wavelet_signals(run_id)
+            summary["wavelet_signals_count"] = len(_wavelet_results)
+            logger.info(f"[Cycle {run_id[:16]}] Wavelet signals: {len(_wavelet_results)} detected")
+        except Exception as _we:
+            logger.warning(f"[Cycle] Wavelet signal scan failed (non-blocking): {_we}")
+            summary["wavelet_signals_count"] = 0
+
         # ── Step 6: GPT-4o cycle commentary ──────────────────────────────────
         logger.info(f"[Cycle {run_id[:16]}] Step 6: generating commentary")
         commentary = _generate_cycle_commentary(
@@ -1046,6 +1057,7 @@ def run_cycle_once(trigger: str = "auto") -> Dict[str, Any]:
             dominant_regime=dominant,
             commentary=commentary,
             status="completed",
+            wavelet_signals_count=summary.get("wavelet_signals_count", 0),
         )
         _current_status["last_run_at"] = datetime.utcnow().isoformat()
         logger.info(f"[Cycle {run_id[:16]}] Completed — {added_count} new patterns, {len(scored)} scored")
@@ -1116,6 +1128,7 @@ def run_cycle_once(trigger: str = "auto") -> Dict[str, Any]:
                 portfolio_monitor=summary.get("portfolio_monitor"),
                 commentary=commentary,
                 options_assessment=_options_assessment,
+                wavelet_signals=_wavelet_results,
             )
             if _cycle_report:
                 from services.database import save_cycle_report
@@ -1352,6 +1365,7 @@ def _generate_cycle_report(
     portfolio_monitor: Optional[Dict],
     commentary: Optional[str],
     options_assessment: Optional[Dict] = None,
+    wavelet_signals: Optional[List[Dict]] = None,
 ) -> Optional[Dict]:
     """
     Build the full cycle report dict:
@@ -1599,6 +1613,8 @@ Réponds en JSON avec ce schéma EXACT:
         # Risk
         "portfolio_monitor": portfolio_monitor,
         "risk_alerts": portfolio_monitor.get("alerts") if portfolio_monitor else None,
+        # Wavelet signals detected this cycle (watchlist scan, see services.wavelet_signals)
+        "wavelet_signals": wavelet_signals or [],
         # Top scored patterns
         "top_scored": [
             {"name": s.get("geo_trigger"), "score": s.get("score"),