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/optuna_scalping.py

@@ -63,6 +63,8 @@ class ScalpSearchContext:
     period_days: int
     portfolio: Dict[str, Any]
     grid_keys: List[str]
+    start_key: str = ""
+    end_key: str = ""
     ticks_by_code: Any = None
     tick_rows: int = 0
     tick_backtest_meta: Dict[str, Any] = field(default_factory=dict)
@@ -279,6 +281,8 @@ def prepare_scalp_search_context(
         period_days=period_days,
         portfolio=portfolio,
         grid_keys=scalp_grid_axis_keys(mode),
+        start_key=start_key,
+        end_key=end_key,
         ticks_by_code=ticks_by_code,
         tick_rows=int(tick_rows),
         tick_backtest_meta=tick_backtest_meta,
@@ -352,6 +356,8 @@ def run_scalp_optuna(
             ticks_by_code=ctx.ticks_by_code,
             orderbook_by_code=ctx.orderbook_by_code,
             program_by_code=ctx.program_by_code,
+            start_key=ctx.start_key,
+            end_key=ctx.end_key,
         )
         if result is None:
             trial.set_user_attr("gates_ok", False)
@@ -478,6 +484,8 @@ def run_scalp_optuna(
                 ticks_by_code=ctx.ticks_by_code,
                 orderbook_by_code=ctx.orderbook_by_code,
                 program_by_code=ctx.program_by_code,
+                start_key=ctx.start_key,
+                end_key=ctx.end_key,
             )
 
         def _save_partial(_data: Dict[str, Any]) -> None: