Backtest tuning, data freshness guard, Telegram improvements

- Drop USD/JPY from scan pairs (zero signals across all timeframes)
- Disable divergence indicator (zero impact in 14-config lab test)
- Parallelize evaluate.py with ProcessPoolExecutor (16 cores)
- Add --pair CLI filter to evaluate.py for single-pair backtests
- Add data freshness guard: stale cache auto-invalidated, primary TF
  stale data suppresses signals to prevent trading on old data
- Add /cache command: shows fetch age and last bar per pair/TF
- Add /clearcache command: wipes in-memory cache for fresh API fetch
- Remove BB from WebSocket breach alerts (keep structural levels only)
- Show live prices only for WS-monitored pairs (EUR/USD, XAU/USD)
- Replace arrow emojis with text tags in indicator lines

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

config.py

@@ -76,25 +76,20 @@ class TechnicalConfig:
 
     atr_period: int = 14
 
-    stoch_k: int = 14
-    stoch_d: int = 3
-    stoch_overbought: float = 80.0
-    stoch_oversold: float = 20.0
-
     adx_period: int = 14
     adx_strong_trend: float = 25.0
     adx_very_strong: float = 50.0
 
-    ichimoku_tenkan: int = 9
-    ichimoku_kijun: int = 26
-    ichimoku_senkou_b: int = 52
-
-    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)
+    disabled_indicators: List[str] = field(default_factory=lambda: ["divergence"])
+
+    ema_mode: str = "4ema"          # "4ema" (9/21/50/200) or "2ema" (50/200)
+    rsi_mode: str = "classic"       # "classic" or "regime_aware"
+    macd_as_pillar: bool = False    # promote MACD histogram to scored signal
+
+    regime_weights_override: Dict[str, Dict[str, float]] = field(default_factory=dict)
 
 
 @dataclass
@@ -106,8 +101,8 @@ class SignalConfig:
         "ema_trend": 1.0,
         "rsi": 1.5,
         "bollinger": 1.5,
-        "candlestick": 1.5,
-        "divergence": 1.0,
+        "candlestick": 1.0,
+        "divergence": 1.5,
     })
 
     mtf_agreement_threshold: int = 2  # of 3 timeframes
@@ -140,9 +135,13 @@ class FilterConfig:
     regime_filter_timeframe: Timeframe = Timeframe.H4
     regime_filter_min_adx: float = 25.0
 
-    session_filter: bool = False
+    session_filter: bool = True
     session_start_hour: int = 7
     session_end_hour: int = 16
+    blocked_hours_utc: List[int] = field(default_factory=lambda: [0, 1, 2, 5, 6, 8, 12, 13, 14, 15, 16, 17, 21, 22, 23])
+
+    sell_filter: bool = True
+    sell_allowed_pairs: List[str] = field(default_factory=lambda: ["XAU/USD"])
 
 
 @dataclass
@@ -169,7 +168,7 @@ class PlatformConfig:
     refresh_interval: int = 300
 
     scan_pairs: List[str] = field(
-        default_factory=lambda: [EURUSD, USDJPY, GBPUSD, XAUUSD]
+        default_factory=lambda: [EURUSD, GBPUSD, XAUUSD]
     )
     scan_timeframes: List[Timeframe] = field(
         default_factory=lambda: [Timeframe.M5, Timeframe.M15, Timeframe.H1, Timeframe.H4]