Pro tier upgrade: quant rearchitect + WebSocket level-breach monitor

- Restore XAU/USD (Pro plan), drop USD/CAD, raise rate limit to 55/min
- Reduce signal engine to 4 uncorrelated pillars (EMA, RSI, BB, Candlestick)
  with regime-adaptive weights (trending boosts EMA, ranging boosts RSI+BB)
- Add structure-based S/R (swing highs/lows) for trade setup targeting
- Fix confidence death spiral: all adjustments now additive, not multiplicative
- Dynamic R:R trade setup: SL behind swing level, TP at next structure level,
  reject if R:R < 1.5
- Fix news engine for all 4 pairs (was hardcoded to USDJPY)
- Add WebSocket monitor: streams live ticks, triggers M15 scan on level breach
  with 5-min cooldown per pair — catches breakouts between candle boundaries
- Add correlation filter (EUR/USD+GBP/USD, XAU/USD+USD/JPY exposure warnings)

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

config.py

@@ -39,13 +39,13 @@ class MarketSession(Enum):
 USDJPY = "USDJPY=X"
 EURUSD = "EURUSD=X"
 GBPUSD = "GBPUSD=X"
-USDCAD = "USDCAD=X"
+XAUUSD = "XAU/USD"
 
 PAIR_INFO = {
     USDJPY: {"display": "USD/JPY", "pip_value": 0.01, "is_jpy_pair": True},
     EURUSD: {"display": "EUR/USD", "pip_value": 0.0001, "is_jpy_pair": False},
     GBPUSD: {"display": "GBP/USD", "pip_value": 0.0001, "is_jpy_pair": False},
-    USDCAD: {"display": "USD/CAD", "pip_value": 0.0001, "is_jpy_pair": False},
+    XAUUSD: {"display": "XAU/USD", "pip_value": 0.10, "is_jpy_pair": False},
 }
 
 # Defaults (kept for backward compat)
@@ -92,6 +92,7 @@ class TechnicalConfig:
     volume_ma_period: int = 20
     pivot_lookback: int = 1
     divergence_lookback: int = 14
+    swing_sr_lookback: int = 50
 
     disabled_indicators: List[str] = field(default_factory=list)
 
@@ -102,12 +103,11 @@ class SignalConfig:
     min_confidence: float = 55.0
 
     weights: Dict[str, float] = field(default_factory=lambda: {
-        "trend": 0.25,
-        "momentum": 0.20,
-        "volatility": 0.15,
-        "price_action": 0.15,
-        "multi_timeframe": 0.15,
-        "sentiment": 0.10,
+        "ema_trend": 1.0,
+        "rsi": 1.5,
+        "bollinger": 1.5,
+        "candlestick": 1.5,
+        "divergence": 1.0,
     })
 
     mtf_agreement_threshold: int = 2  # of 3 timeframes
@@ -115,13 +115,14 @@ class SignalConfig:
 
     default_risk_pct: float = 1.0
     default_rr_ratio: float = 2.0
-    atr_sl_multiplier: float = 1.5  # SL distance = 1.5 × ATR
+    atr_sl_multiplier: float = 1.5
+    min_rr_ratio: float = 1.5
 
 
 @dataclass
 class NewsConfig:
     """Economic calendar & sentiment."""
-    tracked_currencies: List[str] = field(default_factory=lambda: ["USD", "JPY", "EUR", "GBP", "CAD"])
+    tracked_currencies: List[str] = field(default_factory=lambda: ["USD", "JPY", "EUR", "GBP", "XAU"])
     min_impact: str = "medium"
     pre_event_buffer_minutes: int = 30
     post_event_buffer_minutes: int = 15
@@ -168,11 +169,12 @@ class PlatformConfig:
     refresh_interval: int = 300
 
     scan_pairs: List[str] = field(
-        default_factory=lambda: [EURUSD, USDJPY, GBPUSD, USDCAD]
+        default_factory=lambda: [EURUSD, USDJPY, GBPUSD, XAUUSD]
     )
     scan_timeframes: List[Timeframe] = field(
-        default_factory=lambda: [Timeframe.M15, Timeframe.H1]
+        default_factory=lambda: [Timeframe.M5, Timeframe.M15, Timeframe.H1, Timeframe.H4]
     )
     candle_buffer_seconds: int = 10
+    ws_cooldown_seconds: int = 300
 
     log_level: str = "INFO"