diff --git a/src/backtest/runner.py b/src/backtest/runner.py
index e6e8233..2f6b4b4 100644
--- a/src/backtest/runner.py
+++ b/src/backtest/runner.py
@@ -514,6 +514,26 @@ def run_all(self, only_cached: bool = False) -> list[BestResult]:
                 else:
                     search_space[name] = options
 
+            n_params = len(search_space)
+            dof_multiplier = self.cfg.param_dof_multiplier
+            min_bars_floor = self.cfg.param_min_bars
+            min_bars_for_optimization = max(min_bars_floor, dof_multiplier * n_params)
+            if search_space and len(df) < min_bars_for_optimization:
+                self.logger.info(
+                    "skipping optimization due to insufficient bars",
+                    collection=col.name,
+                    symbol=symbol,
+                    timeframe=timeframe,
+                    bars=len(df),
+                    min_bars=min_bars_for_optimization,
+                    n_params=n_params,
+                    dof_multiplier=dof_multiplier,
+                    min_bars_floor=min_bars_floor,
+                    strategy=strat.name,
+                    search_method=search_method,
+                )
+                search_space = {}
+
             best_val = -np.inf
             best_params: dict[str, Any] | None = None
             best_stats: dict[str, Any] | None = None
diff --git a/src/config.py b/src/config.py
index 8c390da..d48e53d 100644
--- a/src/config.py
+++ b/src/config.py
@@ -50,6 +50,8 @@ class Config:
     engine: str = "pybroker"  # pybroker engine
     param_search: str = "grid"  # grid | optuna
     param_trials: int = 25
+    param_dof_multiplier: int = 100
+    param_min_bars: int = 2000
     max_workers: int = 1
     asset_workers: int = 1
     param_workers: int = 1
@@ -127,6 +129,8 @@ def load_config(path: str | Path) -> Config:
         engine=str(raw.get("engine", "pybroker")).lower(),
         param_search=str(raw.get("param_search", raw.get("param_optimizer", "grid"))).lower(),
         param_trials=int(raw.get("param_trials", raw.get("opt_trials", 25))),
+        param_dof_multiplier=int(raw.get("param_dof_multiplier", 100)),
+        param_min_bars=int(raw.get("param_min_bars", 2000)),
         max_workers=int(raw.get("max_workers", raw.get("asset_workers", 1))),
         asset_workers=int(raw.get("asset_workers", raw.get("max_workers", 1))),
         param_workers=int(raw.get("param_workers", 1)),