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/optuna_momentum.py

@@ -205,6 +205,14 @@ def prepare_momentum_search_context(
         f"총한도 {total_budget_f:,.0f}원 | 매매 {format_session_hm(base_fixed)} | market={mk}"
     )
 
+    # 실매과 동일 1·2·3차 체인 — 옵투나 로그에서도 벤더 추적 가능
+    try:
+        from kis_trader.backtest.optuna_feed_trace import log_bt_feed_chain_banner
+
+        log_bt_feed_chain_banner(context="Optuna-MOMENTUM")
+    except Exception:
+        pass
+    logger.info("📂 캔들 로드 중 %s~%s (이 동안 Top5는 비어 있음 · trial 0)", start, end)
     codes_candles = _load_candles_for_search(
         start, end, base_fixed.get("rsi_period", 3),
         market=mk if mk in ("US", "KR") else None,
@@ -423,6 +431,8 @@ def run_momentum_optuna(
         direction="maximize",
         sampler=_make_sampler(sampler_name, seed),
     )
+    from kis_trader.backtest.optuna_study_store import bind_study_trials, finalize_optuna_export
+    bind_study_trials(study, n_trials=n_trials, log=logger)
 
     def objective(trial: optuna.Trial) -> float:
         if ctx.mode == "tpe":
@@ -597,17 +607,29 @@ def run_momentum_optuna(
                 log=logger,
             )
 
-        enrich_out_data_with_mode_combo(
-            out_data,
-            evaluate_fn=_eval_mode,
-            grid_keys=ctx.grid_keys,
+        def _enrich() -> None:
+            enrich_out_data_with_mode_combo(
+                out_data,
+                evaluate_fn=_eval_mode,
+                grid_keys=ctx.grid_keys,
+                log=logger,
+                on_partial_save=_save_partial,
+            )
+            with open(out_path, "w", encoding="utf-8") as f:
+                json.dump(out_data, f, indent=2, ensure_ascii=False)
+            announce_optuna_json_path(
+                out_path, strategy=_ann_strat, mode=ctx.mode, note="최종 JSON", log=logger,
+            )
+
+        finalize_optuna_export(
+            study,
+            out_data=out_data,
+            out_path=out_path,
+            strategy=_ann_strat,
+            mode=ctx.mode,
+            enrich_fn=_enrich,
             log=logger,
-            on_partial_save=_save_partial,
-        )
-        with open(out_path, "w", encoding="utf-8") as f:
-            json.dump(out_data, f, indent=2, ensure_ascii=False)
-        announce_optuna_json_path(
-            out_path, strategy=_ann_strat, mode=ctx.mode, note="최종 JSON", log=logger,
+            symbol=_sym,
         )
         study._kis_export_path = out_path  # type: ignore[attr-defined]
         return study