feat: Enhance Optuna integration and logging for backtesting framework

Changes:
- Added new API endpoints for continuing and confirming Optuna jobs, allowing for better management of ongoing studies.
- Introduced detailed logging for tick feed tracking and order book processing, improving traceability of vendor performance during backtests.
- Updated database schema to include new fields for managing Optuna study results, enhancing the ability to track study progress and outcomes.
- Refactored existing functions to utilize the new logging and tracking features, ensuring consistency across the backtesting framework.

Impact:
- These enhancements improve the robustness and transparency of the Optuna backtesting process, facilitating better analysis and optimization of trading strategies.

kis_trader/backtest/momentum_portfolio_backtest.py

@@ -593,6 +593,19 @@ def _collect_buy_candidates(
             ticks_by_code, code, entry_bar_time, entry_open, params,
             min_tick_time=min_tick_time,
         )
+        # 옵투나 원인파악: 통과 후보 샘플에 틱벤더·호가·틱타임 꼬리 (상한 BT_FEED_DETAIL_LOG_MAX)
+        try:
+            from kis_trader.backtest.optuna_feed_trace import maybe_log_bt_trigger_sample
+
+            maybe_log_bt_trigger_sample(
+                code, eval_params,
+                entry_price=float(entry_price or 0),
+                entry_time=str(entry_time_key or ""),
+                entry_src=str(entry_src or ""),
+                context="MOMENTUM-TRIGGER",
+            )
+        except Exception:
+            pass
         pe_data: Dict[str, Any] = {
             "entry_time": entry_time_key,
             "entry_price": entry_price,