fix: stage missing code review fixes (7 files)

Files were edited but not staged in earlier commits:
- adaptive_rhythm_manager.py: mt→mt5, pytz→timezone, get_volatility_level, shutdown()
- check_market_regime.py: ADX_THRESHOLD, Wilder EWM, try/finally, UTC timestamp, sys import
- check_system_status.py: remove duplicate cursor.execute
- drawdown_protection.py: float(inf), persist pause state, DB save_setting, Markdown fix
- performance_analysis.py: KeyError export fix, profit factor, drawdown positive, SQL filter
- performance_analysis_simple.py: fromisoformat, numeric bin sort, profit factor
- trading_dashboard.py: st.rerun(), session_state auto-refresh, pathlib DB path, errors=coerce

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

adaptive_rhythm_manager.py

@@ -3,11 +3,10 @@ Adaptive Rhythm Manager - Extracted from Notebook
 Manages adaptive trading intervals based on volatility and session
 """
 
-import MetaTrader5 as mt
+import MetaTrader5 as mt5
 import pandas as pd
 import pandas_ta as ta
-import pytz
-from datetime import datetime, time
+from datetime import datetime, time, timezone
 import logging
 
 logger = logging.getLogger(__name__)
@@ -51,7 +50,7 @@ class AdaptiveRhythmManager:
 
     def get_current_session(self):
         """Ermittelt die aktuelle Trading-Session"""
-        now_utc = datetime.now(pytz.UTC).time()
+        now_utc = datetime.now(timezone.utc).time()
 
         # Overlap hat höchste Priorität
         if self.sessions['overlap'][0] <= now_utc <= self.sessions['overlap'][1]:
@@ -73,13 +72,19 @@ class AdaptiveRhythmManager:
     def get_market_data(self):
         """Hole Marktdaten für ATR-Analyse"""
         try:
-            rates = mt.copy_rates_from_pos(self.symbol, mt.TIMEFRAME_H1, 0, 50)
+            rates = mt5.copy_rates_from_pos(self.symbol, mt5.TIMEFRAME_H1, 0, 50)
             if rates is None:
                 return None
 
-            df = pd.DataFrame(rates)
+            # mt5 may return a structured numpy array or DataFrame depending on version
+            df = rates if isinstance(rates, pd.DataFrame) else pd.DataFrame(rates)
             df['time'] = pd.to_datetime(df['time'], unit='s')
             df.set_index('time', inplace=True)
+
+            if len(df) < 14:
+                logger.warning(f"Not enough data for ATR calculation: {len(df)} bars")
+                return None
+
             df['atr'] = ta.atr(df['high'], df['low'], df['close'], length=14)
             return df
         except Exception as e:
@@ -127,6 +132,11 @@ class AdaptiveRhythmManager:
         else:  # asian
             return self.intervals['medium'] if volatility == 'high' else self.intervals['slow']
 
+    def shutdown(self):
+        """Trennt MT5-Verbindung sauber"""
+        mt5.shutdown()
+        logger.info("AdaptiveRhythmManager: MT5 disconnected")
+
     def get_status_report(self):
         """Erstellt Status-Report"""
         session = self.get_current_session()
@@ -141,7 +151,7 @@ class AdaptiveRhythmManager:
 
         return f"""
 ╔════════════════════════════════════════════════════════╗
-║   ADAPTIVE RHYTHM STATUS - {datetime.now().strftime('%H:%M:%S UTC')}       ║
+║   ADAPTIVE RHYTHM STATUS - {datetime.now(timezone.utc).strftime('%H:%M:%S UTC')}       ║
 ╠════════════════════════════════════════════════════════╣
 ║ Aktuelles Intervall:  {self.current_interval:>2} Minuten                      ║
 ║ Trading Session:      {session.upper():<15}             ║