Tune engine from backtesting: wider SL, capped TP, counter-trend filter

Backtest-driven fixes (0% win → 33% win, PF 0.00 → 1.05 over 7 days):
- SL: swing buffer 0.5→1.0 ATR, min distance 1.0→1.5 ATR (more room to breathe)
- TP: cap swing targets at ATR×3.0, fallback ATR×2.0 (was targeting unreachable levels)
- Mature-move TP: when score>30 (A/B grade), tighten TP to ATR×1.5 (move already extended)
- Counter-trend penalty: -15 confidence when signal fights regime direction
- EMA200 penalties halved: -20→-10 (was killing EUR/USD signals)
- Score thresholds lowered: BUY/SELL ±15→±12, STRONG ±40→±35
- Quality grades relaxed, C-grade now gets trade setups and Telegram alerts
- min_rr_ratio: 1.5→1.2
- Gitignore backtest/ directory

telegram_bot.py

@@ -296,7 +296,7 @@ def _format_scan_summary(reports: List[SignalReport], tf: Timeframe) -> str:
         )
     lines.append("━━━━━━━━━━━━━━━━━━━━")
 
-    actionable = [r for r in reports if r.signal_quality in ("A+", "A", "B")]
+    actionable = [r for r in reports if r.signal_quality in ("A+", "A", "B", "C")]
     if actionable:
         names = ", ".join(r.display_name for r in actionable)
         lines.append(f"🔔 Actionable: {names}")
@@ -390,7 +390,7 @@ async def _scan_timeframe(
     _update_level_cache(reports)
 
     summary = _format_scan_summary(reports, tf)
-    actionable = [r for r in reports if r.signal_quality in ("A+", "A", "B")]
+    actionable = [r for r in reports if r.signal_quality in ("A+", "A", "B", "C")]
 
     for chat_id in list(_autoscan_chats):
         try: