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/strategies/range_break.py

@@ -73,6 +73,10 @@ class RangeBreakStrategy(BaseStrategy):
             need_n = rbe.range_break_min_bars_required(self._engine_params or {})
             candles_raw = self.ws.get_candles(code, self.candle_tf, n=need_n + 10)
             if len(candles_raw) < need_n - 2:
+                try:
+                    self.ws.fill_gap([code], force=True)
+                except Exception:
+                    pass
                 return None
             candles = [self._norm_candle(c) for c in candles_raw]