Add AI trading supervisor with WeChat push and daily session

Proactive monitoring for manual/hub closes and new opens prevents overtrading via in-app alerts, configurable WeChat links, and supervisor chat.

Co-authored-by: Cursor <cursoragent@cursor.com>

manual_trading_hub/settings_store.py

@@ -9,6 +9,8 @@ from pathlib import Path
 DIR = Path(__file__).resolve().parent
 SETTINGS_PATH = DIR / "hub_settings.json"
 
+from hub_supervisor_lib import DEFAULT_SUPERVISOR, normalize_supervisor_settings
+
 DEFAULT_DISPLAY = {
     "show_account_pnl": True,
     "show_nav_funds": True,
@@ -98,6 +100,7 @@ def load_settings() -> dict:
         except Exception:
             pass
     data["display"] = normalize_display_prefs(data.get("display"))
+    data["supervisor"] = normalize_supervisor_settings(data.get("supervisor"))
     force_off = env_force_disabled_ids()
     for ex in data.get("exchanges") or []:
         if str(ex.get("id")) in force_off:
@@ -109,8 +112,11 @@ def load_settings() -> dict:
 
 
 def save_settings(data: dict) -> None:
+    payload = dict(data)
+    payload["display"] = normalize_display_prefs(payload.get("display"))
+    payload["supervisor"] = normalize_supervisor_settings(payload.get("supervisor"))
     SETTINGS_PATH.write_text(
-        json.dumps(data, ensure_ascii=False, indent=2),
+        json.dumps(payload, ensure_ascii=False, indent=2),
         encoding="utf-8",
     )