diff --git a/backend/app/services/day_trading_strategy.py b/backend/app/services/day_trading_strategy.py
index 1102314..e1a0fd9 100644
--- a/backend/app/services/day_trading_strategy.py
+++ b/backend/app/services/day_trading_strategy.py
@@ -32,7 +32,9 @@ MAX_CAPITAL_RATIO  = 0.10   # 종목당 최대 10%
 MAX_DAY_TRADE_RATIO = 0.25  # 전체 데이트레이딩 최대 25%
 MAX_POSITIONS      = 3      # 동시 최대 3종목
 DAILY_LOSS_LIMIT   = -0.03  # 일일 손실 한도 -3%
-STOP_LOSS_PCT      = 0.02   # 종목 손절 -2%
+STOP_LOSS_PCT              = 0.02   # ORB 손절 -2%
+STOP_LOSS_PCT_REVERSION    = 0.025  # VWAP/RSI_BB 평균회귀 전략 손절 -2.5%
+# ↑ ORB(-2%)보다 약간 넓게 잡되, 일일 손실 한도(-3%) 이내에서 단일 포지션이 소화 가능하도록 설정
 TRAILING_TRIGGER   = 0.015  # 트레일링 발동 +1.5%
 TRAILING_ATR_MULT  = 1.0    # 트레일링 ATR 배수
 ORB_BREAKOUT_MARGIN = 0.002 # ORB 돌파 최소 여유 +0.2%
@@ -301,7 +303,7 @@ def check_vwap_bounce_signal(
 
     atr = _atr(candles_5min, 14)
     raw_stop = (current_price - 1.5 * atr) if atr else current_price * (1 - STOP_LOSS_PCT)
-    stop_loss = max(raw_stop, current_price * (1 - STOP_LOSS_PCT * 2), 1.0)
+    stop_loss = max(raw_stop, current_price * (1 - STOP_LOSS_PCT_REVERSION), 1.0)  # 하드 스탑 -2.5% (일일 손실 한도 -3% 이내)
     target = (current_price + 2.0 * atr) if atr else vwap * 1.03
 
     return DayTradeSignal(
@@ -359,7 +361,7 @@ def check_rsi_bb_signal(
 
     atr = _atr(candles_5min, 14)
     raw_stop = (current_price - 1.5 * atr) if atr else current_price * (1 - STOP_LOSS_PCT)
-    stop_loss = max(raw_stop, current_price * (1 - STOP_LOSS_PCT * 2), 1.0)
+    stop_loss = max(raw_stop, current_price * (1 - STOP_LOSS_PCT_REVERSION), 1.0)  # 하드 스탑 -2.5% (일일 손실 한도 -3% 이내)
     # 최소 1.5R 보장: bb_middle이 너무 가까우면 R:R 확보를 위해 목표 상향
     risk = current_price - stop_loss
     target = max(bb_middle, current_price + risk * 1.5)
@@ -429,14 +431,16 @@ def check_day_trade_exit(
         atr = _atr(candles_5min, 14)
         if atr:
             trailing_stop = highest_since_entry - TRAILING_ATR_MULT * atr
-            if current_price <= trailing_stop:
-                return DayTradeExit(
-                    action="SELL_ALL",
-                    reason=(
-                        f"트레일링 스탑: 최고={highest_since_entry:.0f}, "
-                        f"트레일={trailing_stop:.0f}, 현재={current_price:.0f}"
-                    ),
-                )
+        else:
+            trailing_stop = highest_since_entry * (1 - 0.02)  # fallback: 최고가 -2% (5분봉 데이터 부족 시)
+        if current_price <= trailing_stop:
+            return DayTradeExit(
+                action="SELL_ALL",
+                reason=(
+                    f"트레일링 스탑: 최고={highest_since_entry:.0f}, "
+                    f"트레일={trailing_stop:.0f}, 현재={current_price:.0f}"
+                ),
+            )
 
     # 5. 과매수 청산 (RSI ≥ 70)
     rsi = _rsi(candles_5min, 14)
diff --git a/backend/app/services/kosdaq_scanner.py b/backend/app/services/kosdaq_scanner.py
index 40f63f8..e0e6ec6 100644
--- a/backend/app/services/kosdaq_scanner.py
+++ b/backend/app/services/kosdaq_scanner.py
@@ -147,7 +147,7 @@ class KosdaqScanner:
         volume_ratio = td.volume / volume_ma20
 
         rsi_score    = max(0.0, (25.0 - rsi14) / 25.0)
-        bb_score     = max(0.0, (0.0 - pct_vs_lower) / 3.0)
+        bb_score     = min(max(0.0, (0.0 - pct_vs_lower) / 3.0), 1.0)  # 상한 1.0 — 폭락 종목 점수 왜곡 방지
         volume_score = min(volume_ratio, 2.0)
         total_score  = rsi_score * 0.5 + bb_score * 0.3 + volume_score * 0.2
 
diff --git a/backend/app/services/mean_reversion_strategy.py b/backend/app/services/mean_reversion_strategy.py
index b86bb36..ce33ded 100644
--- a/backend/app/services/mean_reversion_strategy.py
+++ b/backend/app/services/mean_reversion_strategy.py
@@ -404,6 +404,7 @@ def calculate_position_size_v2(
     base = calculate_position_size(
         total_assets, available_cash, current_strategy_allocation,
         regime, max_per_position, max_strategy_capital_bull, max_strategy_capital_bear,
+        rsi=None, adx=None,  # v2에서 자체 보정하므로 base는 배율 없이 계산 (이중 보정 방지)
     )
     if base <= 0:
         return 0.0
diff --git a/backend/app/services/short_term_strategy.py b/backend/app/services/short_term_strategy.py
index 7588d17..978608e 100644
--- a/backend/app/services/short_term_strategy.py
+++ b/backend/app/services/short_term_strategy.py
@@ -163,8 +163,10 @@ class ShortTermStrategy:
             return None
 
         # 조건 5: MA5 상향 (Fake-out 방지)
+        # BB 하단 ±1% 구간에서는 최근 급락으로 MA5가 눌려있을 수 있으므로 완화 허용
+        # (close < bb_lower * 0.99 → BB 하단을 크게 이탈 중 = 완전 차단, 그 외는 허용)
         ma5 = sum(m15_closes[-5:]) / 5
-        if close <= ma5:
+        if close < ma5 and close < bb_lower * 0.99:
             return None
 
         # 조건 6: 거래량 급증 (1.5배 강화)