feat: Enhance trading system with new e_min_chg_pct parameter and related logic

Changes:
- Introduced the `e_min_chg_pct` parameter to define the minimum price change percentage compared to the previous day's close, enhancing the momentum trading strategy.
- Updated various functions and classes to incorporate this new parameter, ensuring it is utilized in both backtesting and live trading scenarios.
- Improved documentation and comments to clarify the purpose and usage of the new parameter across the codebase.

Impact:
- This addition allows for more precise control over trading conditions, potentially increasing the effectiveness of the momentum strategy while maintaining system integrity and performance.

kis_trader/backtest/optuna_momentum_tpe_space.py

@@ -34,6 +34,7 @@ _MOMENTUM_BASE_KEYS: List[str] = [
     "mom_rsi_max",
     "mom_vol_mult",
     "mom_vol_win",
+    "e_min_chg_pct",
     "tp_pct",
     "tp_max_pct",
     "sl_pct",
@@ -82,6 +83,10 @@ def suggest_momentum_params_tpe(
 
     combo["mom_vol_mult"] = r2(trial.suggest_float("mom_vol_mult", 1.0, 10.0, step=0.1))
     combo["mom_vol_win"] = trial.suggest_int("mom_vol_win", 3, 10)
+    # HTS K: 전일종가 대비 최소등락(%) — 실매 앵커 0.2 포함 연속 텀 (step 0.1)
+    combo["e_min_chg_pct"] = r1(
+        trial.suggest_float("e_min_chg_pct", 0.0, 2.0, step=0.1),
+    )
 
     combo["tp_pct"] = r2(trial.suggest_float("tp_pct", 1.5, 15.0, step=0.1))
     combo["tp_max_pct"] = r2(trial.suggest_float("tp_max_pct", 2.0, 20.0, step=0.5))