fix: session_filter_patch, advanced_position_management, loss_protection_manager
session_filter_patch.py: - Fix mutable default arguments (config=None + internal assignment) - Read confidence threshold from config (95) instead of hardcoded 60 - Read debug flag from config instead of hardcoding True - Rename datetime parameter to avoid shadowing the module (_datetime import) - Clamp optimal_interval to max 59 to avoid % modulo issues - Cache now = _datetime.now() to avoid double call advanced_position_management.py: - mt -> mt5 alias (21 replacements) - should_update_trailing_stop: fetch symbol_info.point once, reuse for both checks - close_partial_position: fetch mt5.symbol_info_tick once instead of twice - check_and_update_positions: add mt5.terminal_info() guard loss_protection_manager.py: - Fix critical bug: .seconds -> .total_seconds() in news cache check (.seconds resets at 1h boundary, causing stale cache to appear fresh) - _fetch_economic_calendar: activate via news_filter_simple integration, document that it was previously a no-op - record_trade: document approximate balance tracking limitation Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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+18
-12
@@ -73,7 +73,9 @@ def get_session_confidence_threshold(session_name, config=SESSION_WHITELIST_CONF
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return thresholds.get(session_name, config.get('base_confidence', 95))
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def is_confidence_sufficient(session_name, confidence, config=SESSION_WHITELIST_CONFIG):
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def is_confidence_sufficient(session_name, confidence, config=None):
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if config is None:
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config = SESSION_WHITELIST_CONFIG
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"""
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Prüft ob Confidence für diese Session ausreichend ist
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@@ -96,7 +98,9 @@ def is_confidence_sufficient(session_name, confidence, config=SESSION_WHITELIST_
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return sufficient, reason
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def is_session_allowed(session_name, config=SESSION_WHITELIST_CONFIG):
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def is_session_allowed(session_name, config=None):
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if config is None:
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config = SESSION_WHITELIST_CONFIG
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"""
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Prüft ob Trading in aktueller Session erlaubt ist
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@@ -142,7 +146,7 @@ def create_session_filtered_check(
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strategy_name,
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max_positions,
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logger,
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datetime,
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datetime=None, # kept for backward compat, unused — we import directly
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config=None
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):
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"""
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@@ -161,16 +165,18 @@ def create_session_filtered_check(
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Returns:
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Gefilterte adaptive_trading_check Funktion
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"""
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from datetime import datetime as _datetime
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if config is None:
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config = SESSION_WHITELIST_CONFIG
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# Hole Trading-Parameter aus Config
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confidence_threshold = config.get('base_confidence', 60)
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confidence_threshold = config.get('base_confidence', 95)
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atr_mult = config.get('atr_mult', 1.5)
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max_risk = config.get('max_risk_per_trade', 0.01)
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max_risk = config.get('max_risk_per_trade', 0.02)
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risk_filter = config.get('risk_filter', True)
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min_atr = config.get('min_atr', 0.0008)
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use_pullback = config.get('use_pullback_entry', False)
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debug = config.get('debug', False)
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def adaptive_trading_check_filtered():
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"""
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@@ -182,22 +188,22 @@ def create_session_filtered_check(
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allowed, reason = is_session_allowed(session, config)
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if not allowed:
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if config['debug']:
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if debug:
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logger.info(f"⏸️ Trading SKIP: {reason}")
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return
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# 2. Berechne optimales Intervall
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optimal_interval = rhythm_manager.calculate_optimal_interval()
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current_minute = datetime.now().minute
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optimal_interval = min(rhythm_manager.calculate_optimal_interval(), 59)
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now = _datetime.now()
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current_minute = now.minute
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# 3. Trading nur zu berechneten Zeitpunkten
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if current_minute % optimal_interval == 0:
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logger.info(f"\n⏰ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - ADAPTIVE Check")
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logger.info(f"\n⏰ {now.strftime('%Y-%m-%d %H:%M:%S')} - ADAPTIVE Check")
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logger.info(f"✅ Session: {session.upper()} - {reason}")
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logger.info(f"📊 Confidence Threshold: {confidence_threshold}%")
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logger.info(f"⏱️ Intervall: {optimal_interval} min")
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# Führe Trading aus mit Parametern aus Config
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execute_func(
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symbol=symbol,
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atr_mult=atr_mult,
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@@ -208,7 +214,7 @@ def create_session_filtered_check(
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use_pullback_entry=use_pullback,
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max_positions=max_positions,
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strategy_name=strategy_name,
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debug=True
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debug=debug
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)
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except Exception as e:
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