diff --git a/tradingagents/dataflows/discovery/filter.py b/tradingagents/dataflows/discovery/filter.py
index 8a3b5cc7..5ee83217 100644
--- a/tradingagents/dataflows/discovery/filter.py
+++ b/tradingagents/dataflows/discovery/filter.py
@@ -478,22 +478,30 @@ class CandidateFilter:
                         cand["recent_move_status"] = reaction.get("status")
 
                         if reaction.get("status") == "lagging":
-                            if self.recent_mover_action == "filter":
-                                filtered_reasons["recent_moved"] += 1
-                                change_pct = reaction.get("price_change_pct", 0)
-                                logger.info(
-                                    f"Filtered {ticker}: Already moved {change_pct:+.1f}% in last "
-                                    f"{self.recent_movement_lookback_days} days"
-                                )
-                                continue
-                            if self.recent_mover_action == "deprioritize":
-                                cand["priority"] = "low"
-                                existing_context = cand.get("context", "")
-                                change_pct = reaction.get("price_change_pct", 0)
-                                cand["context"] = (
-                                    f"{existing_context} | ⚠️ Recent move: {change_pct:+.1f}% "
-                                    f"over {self.recent_movement_lookback_days}d"
-                                )
+                            # Mean-reversion candidates are expected to have moved — exempt them
+                            from tradingagents.dataflows.discovery.scanner_registry import SCANNER_REGISTRY
+                            source = cand.get("source", "")
+                            scanner_cls = SCANNER_REGISTRY.scanners.get(source)
+                            scanner_pipeline = getattr(scanner_cls, "pipeline", None)
+                            is_mean_reversion = scanner_pipeline == "mean_reversion"
+
+                            if not is_mean_reversion:
+                                if self.recent_mover_action == "filter":
+                                    filtered_reasons["recent_moved"] += 1
+                                    change_pct = reaction.get("price_change_pct", 0)
+                                    logger.info(
+                                        f"Filtered {ticker}: Already moved {change_pct:+.1f}% in last "
+                                        f"{self.recent_movement_lookback_days} days"
+                                    )
+                                    continue
+                                if self.recent_mover_action == "deprioritize":
+                                    cand["priority"] = "low"
+                                    existing_context = cand.get("context", "")
+                                    change_pct = reaction.get("price_change_pct", 0)
+                                    cand["context"] = (
+                                        f"{existing_context} | ⚠️ Recent move: {change_pct:+.1f}% "
+                                        f"over {self.recent_movement_lookback_days}d"
+                                    )
 
                 # Liquidity filter based on average volume
                 if self.min_average_volume:
diff --git a/tradingagents/default_config.py b/tradingagents/default_config.py
index 2b71273c..5ee9325c 100644
--- a/tradingagents/default_config.py
+++ b/tradingagents/default_config.py
@@ -63,7 +63,7 @@ DEFAULT_CONFIG = {
             "filter_recent_movers": True,  # Enable/disable filter
             "recent_movement_lookback_days": 7,  # Days to check for recent moves
             "recent_movement_threshold": 10.0,  # % change threshold
-            "recent_mover_action": "filter",  # "filter" or "deprioritize"
+            "recent_mover_action": "deprioritize",  # "filter" or "deprioritize"
             # Volume / compression detection
             "volume_cache_key": "default",  # Cache key for volume data
             "min_market_cap": 0,  # Minimum market cap in billions (0 = no filter)