feat: Add session filter to trading check + fix drawdown calculation

- Add session check (SCHRITT 0) to enhanced_trading_check_wrapper
- Fix max_drawdown calculation to cap at 100% when equity goes negative
- Add _save_data() after _update_stats() to persist stats
- Add auto-sync scheduler job for demo tracker (every 5 min)
- Fix MT5 trade sync to match entry deals by position_id
- Enable Asian session in session_filter_patch.py

Session config now:
- Asian: ENABLED
- London: BLOCKED
- Overlap: ENABLED
- NY: ENABLED

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

demo_test_tracker.py

@@ -114,6 +114,9 @@ class DemoTestTracker:
         logger.info(f"   Days Running:  {self._days_running()}")
         logger.info("=" * 60)
 
+        # Datei sofort erstellen falls sie nicht existiert
+        self._save_data()
+
     # ==========================================
     # TRADE LOGGING
     # ==========================================
@@ -280,11 +283,14 @@ class DemoTestTracker:
         avg_win = total_wins / len(wins) if wins else 0
         avg_loss = total_losses / len(losses) if losses else 0
 
-        # Drawdown calculation
+        # Drawdown calculation (proper method)
+        # Max drawdown = largest drop from peak (in dollars and percentage)
+        # Note: Percentage is relative to peak equity at that moment
         equity_curve = []
         running_equity = 0
         peak_equity = 0
-        max_drawdown = 0
+        max_drawdown_dollars = 0
+        max_drawdown_pct = 0
 
         for t in trades:
             running_equity += t['profit']
@@ -293,9 +299,23 @@ class DemoTestTracker:
             if running_equity > peak_equity:
                 peak_equity = running_equity
 
-            drawdown = (peak_equity - running_equity) / peak_equity if peak_equity > 0 else 0
-            if drawdown > max_drawdown:
-                max_drawdown = drawdown
+            # Calculate drawdown in dollars
+            current_drawdown_dollars = peak_equity - running_equity
+            if current_drawdown_dollars > max_drawdown_dollars:
+                max_drawdown_dollars = current_drawdown_dollars
+
+            # Calculate percentage relative to peak
+            # Only meaningful when peak > 0 and we're still positive
+            if peak_equity > 0 and running_equity >= 0:
+                current_drawdown_pct = current_drawdown_dollars / peak_equity
+                if current_drawdown_pct > max_drawdown_pct:
+                    max_drawdown_pct = current_drawdown_pct
+            elif peak_equity > 0 and running_equity < 0:
+                # If equity goes negative, that's 100%+ drawdown
+                max_drawdown_pct = 1.0  # Cap at 100%
+
+        # Final max drawdown (capped at 100%)
+        max_drawdown = min(max_drawdown_pct, 1.0)
 
         # Session stats
         session_stats = defaultdict(lambda: {'trades': 0, 'wins': 0, 'profit': 0})
@@ -327,6 +347,7 @@ class DemoTestTracker:
             'avg_loss': avg_loss,
             'avg_trade': total_profit / len(trades) if trades else 0,
             'max_drawdown': max_drawdown,
+            'max_drawdown_dollars': max_drawdown_dollars,
             'current_equity': running_equity,
             'peak_equity': peak_equity,
             'sessions_tested': list(session_stats.keys()),
@@ -337,6 +358,9 @@ class DemoTestTracker:
             'avg_duration_minutes': sum(t['duration_minutes'] for t in trades) / len(trades) if trades else 0,
         }
 
+        # Persist updated stats to file
+        self._save_data()
+
     def get_stats(self) -> Dict:
         """Gibt aktuelle Statistiken zurück"""
         self._update_stats()
@@ -469,7 +493,7 @@ class DemoTestTracker:
         print(f"   Worst Trade:   ${stats.get('worst_trade', 0):,.2f}")
 
         print(f"\n📉 RISK METRICS:")
-        print(f"   Max Drawdown:  {stats.get('max_drawdown', 0)*100:.1f}%")
+        print(f"   Max Drawdown:  {stats.get('max_drawdown', 0)*100:.1f}% (${stats.get('max_drawdown_dollars', 0):,.2f})")
         print(f"   Current Equity: ${stats.get('current_equity', 0):,.2f}")
         print(f"   Peak Equity:   ${stats.get('peak_equity', 0):,.2f}")