feat: Add DART strategy and related configurations

ㅇ
Changes:
- Introduced the DART strategy to the trading system, including its configuration and integration into the existing framework.
- Updated the database schema to include DART-specific tables for disclosures and watchlists.
- Enhanced the backtesting and parameter search functionalities to support the DART strategy.
- Implemented new rules for browser verification and API interactions to ensure compliance with the updated DART strategy.

Impact:
- These additions expand the trading capabilities of the system, allowing for more comprehensive analysis and execution of DART-related strategies, while maintaining system integrity and performance.

kis_trader/backtest/param_search_breakout.py

@@ -1276,15 +1276,12 @@ def run_search(
     end_ymd = end.replace("-", "") if end else ""
     if not use_fallback_universe and start_ymd and end_ymd:
         try:
-            from kis_trader.database.db_manager import get_db as _get_ext_db  # type: ignore
-            _ext = _get_ext_db()
-            history = _ext.get_universe_by_candle_time(
-                strategy_id="BREAKOUT",
-                start_ymd=start_ymd, end_ymd=end_ymd,
+            from kis_trader.backtest.breakout_backtest_common import resolve_breakout_universe
+            history, _src, n_bins, _scan_iv = resolve_breakout_universe(
+                start_ymd, end_ymd, use_saved_history=True,
             )
             if history:
                 universe_by_slot = history
-                n_bins = len(history)
                 avg = sum(len(v) for v in history.values()) / max(1, n_bins)
                 print(f"✅ 유니버스: 신봇 BREAKOUT 이력 사용 | {n_bins:,}분봉 · 평균 {avg:.1f}종목")
             else: