diff --git a/app_streamlit.py b/app_streamlit.py
index dcbc48e..8caa226 100644
--- a/app_streamlit.py
+++ b/app_streamlit.py
@@ -294,15 +294,13 @@ def compute_signals(df, interval="5m"):
         (df["close"] < df["MA7"]) & (df["MA7"] < df["MA25"])
     )
     df["bull_ma"] = (
-        (df["close"] > df["MA7"]) & (df["MA7"] > df["MA25"]) &
-        (df["MA25"] > df["MA99"])
+        (df["close"] > df["MA7"]) & (df["MA7"] > df["MA25"])
     )
     df["bear_ma"] = (
-        (df["close"] < df["MA7"]) & (df["MA7"] < df["MA25"]) &
-        (df["MA25"] < df["MA99"])
+        (df["close"] < df["MA7"]) & (df["MA7"] < df["MA25"])
     )
-    df["long_signal"]  = df["bull_ma_2"] & (df["RSI"] < 60) & (df["MACD_hist"] > df["MACD_hist"].shift(1)) & (df["close"] > df["BB_mid"])
-    df["short_signal"] = df["bear_ma_2"] & (df["RSI"] > 35) & (df["MACD_hist"] < df["MACD_hist"].shift(1)) & (df["close"] < df["BB_mid"])
+    df["long_signal"]  = df["bull_ma_2"] & (df["RSI"] < 60) & (df["MACD_hist"] > df["MACD_hist"].shift(1)) & (df["close"] > df["BB_mid"]) & (df["close"] < df["BB_upper"])
+    df["short_signal"] = df["bear_ma_2"] & (df["RSI"] > 35) & (df["MACD_hist"] < df["MACD_hist"].shift(1)) & (df["close"] < df["BB_mid"]) & (df["close"] > df["BB_lower"])
     df["long_signal"]  = df["long_signal"]  & (df["long_signal"].rolling(5,  min_periods=1).sum().shift(1).fillna(0) == 0)
     df["short_signal"] = df["short_signal"] & (df["short_signal"].rolling(5, min_periods=1).sum().shift(1).fillna(0) == 0)
 
@@ -314,6 +312,9 @@ def compute_signals(df, interval="5m"):
     df["oi_down"]  = oi_series < oi_series.shift(1)
     df["oi_up_2"]   = df["oi_up"]  & df["oi_up"].shift(1).fillna(False)
     df["oi_down_2"] = df["oi_down"] & df["oi_down"].shift(1).fillna(False)
+    # OI 활성도: 방향 무관, 의미 있는 변동만 통과 (0.1% 이상). 신규 진입과
+    # 청산 모두 캡처하기 위함. vol_short / vol_long 신호의 OI 필터로 사용.
+    df["oi_active"] = oi_series.pct_change().abs() > 0.001
 
     df["taker_buy_dom"]  = df["taker_buy_vol"]  > df["taker_sell_vol"]
     df["taker_sell_dom"] = df["taker_sell_vol"] > df["taker_buy_vol"]
@@ -323,8 +324,8 @@ def compute_signals(df, interval="5m"):
     df["fr_long_favor"]  = df["taker_buy_vol"].rolling(3).mean()  > df["taker_sell_vol"].rolling(3).mean()
     df["fr_short_favor"] = df["taker_sell_vol"].rolling(3).mean() > df["taker_buy_vol"].rolling(3).mean()
 
-    df["strong_long_signal"]  = df["bull_ma"] & (df["RSI"] < 65)  & (df["MACD_hist"] > df["MACD_hist"].shift(1)) & df["oi_up_2"]   & df["taker_buy_2"]  & df["fr_long_favor"]
-    df["strong_short_signal"] = df["bear_ma"] & (df["RSI"] > 35)  & (df["MACD_hist"] < df["MACD_hist"].shift(1)) & df["oi_down_2"] & df["taker_sell_2"] & df["fr_short_favor"]
+    df["strong_long_signal"]  = df["bull_ma_2"] & (df["RSI"] < 65)  & (df["MACD_hist"] > df["MACD_hist"].shift(1)) & df["oi_up_2"]   & df["taker_buy_2"]  & df["fr_long_favor"]
+    df["strong_short_signal"] = df["bear_ma_2"] & (df["RSI"] > 35)  & (df["MACD_hist"] < df["MACD_hist"].shift(1)) & df["oi_down_2"] & df["taker_sell_2"] & df["fr_short_favor"]
     df["strong_long_signal"]  = df["strong_long_signal"]  & (df["strong_long_signal"].rolling(10,  min_periods=1).sum().shift(1).fillna(0) == 0)
     df["strong_short_signal"] = df["strong_short_signal"] & (df["strong_short_signal"].rolling(10, min_periods=1).sum().shift(1).fillna(0) == 0)
 
@@ -344,7 +345,7 @@ def compute_signals(df, interval="5m"):
         (df["sell_net"] > sell_net_avg * 2) &
         (df["sell_net"] > 0) &
         (df["taker_sell_vol"] > _vol_min) &
-        df["oi_up"]
+        df["oi_active"]
     )
     cooldown_vol_short = sell_spike_strong.rolling(10, min_periods=1).sum().shift(1).fillna(0) == 0
     df["vol_short_signal"] = sell_spike_strong & cooldown_vol_short
@@ -355,7 +356,7 @@ def compute_signals(df, interval="5m"):
         (df["buy_net"] > buy_net_avg * 2) &
         (df["buy_net"] > 0) &
         (df["taker_buy_vol"] > _vol_min) &
-        df["oi_up"]
+        df["oi_active"]
     )
     cooldown_vol_long = buy_spike_strong.rolling(10, min_periods=1).sum().shift(1).fillna(0) == 0
     df["vol_long_signal"] = buy_spike_strong & cooldown_vol_long