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/dbband_strategy.py

@@ -96,6 +96,10 @@ class DbBandStrategy(BaseStrategy):
             )
             candles_raw = self.ws.get_candles(code, tf_code, n=min_len + 10)
             if len(candles_raw) < min_len:
+                try:
+                    self.ws.fill_gap([code], force=True)
+                except Exception:
+                    pass
                 return None
             candles = [self._norm_candle(c) for c in candles_raw]