diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..e59efd7
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+.claude/settings.local.json
+streamlit.log
+streamlit.err.log
diff --git a/app_streamlit.py b/app_streamlit.py
index 82d320e..5b39c6a 100644
--- a/app_streamlit.py
+++ b/app_streamlit.py
@@ -66,7 +66,7 @@ def send_telegram(message: str):
 
 def check_and_alert(df, symbol, interval):
     now = time.time()
-    last = df.iloc[-1]
+    recent = df.tail(3)
     for sig, key, msg in [
         ("strong_long_signal",  "strong_long",  f"🟢 강한 롱 진입 신호\n{symbol} {interval}"),
         ("strong_short_signal", "strong_short", f"🔴 강한 숏 진입 신호\n{symbol} {interval}"),
@@ -76,7 +76,7 @@ def check_and_alert(df, symbol, interval):
         ("vol_short_signal",    "vol_short",    f"🔽 볼륨급등 숏 신호\n{symbol} {interval}"),
         ("short_caution_signal","short_caution",f"⚠️ 숏 진입 주의 신호\n{symbol} {interval}"),
     ]:
-        if last.get(sig, False) and now - _last_alert[key] > ALERT_COOLDOWN:
+        if sig in recent.columns and recent[sig].fillna(False).any() and now - _last_alert[key] > ALERT_COOLDOWN:
             send_telegram(msg)
             _last_alert[key] = now
 
@@ -542,10 +542,10 @@ def _alert_loop():
             with _alert_lock:
                 symbol   = _alert_symbol
                 interval = _alert_interval
-            df = get_klines(symbol, interval, 50)
+            df = get_klines(symbol, interval, 200)
             oi_period = interval if interval in ["5m","15m","30m","1h","4h","12h","1d","3d","1M"] else "5m"
             try:
-                oi = get_open_interest_history(symbol, oi_period, 50)
+                oi = get_open_interest_history(symbol, oi_period, 200)
                 if not oi.empty:
                     oi_m = oi[["timestamp","sumOpenInterest"]].rename(columns={"timestamp":"open_time"})
                     df["open_time_r"] = df["open_time"].dt.floor(_to_floor_freq(oi_period))
@@ -554,6 +554,16 @@ def _alert_loop():
                     df = df.drop(columns=["open_time_r","open_time_oi"], errors="ignore")
                     df["sumOpenInterest"] = df["sumOpenInterest"].ffill()
             except: pass
+            try:
+                fr = get_funding_rate(symbol, 200)
+                if not fr.empty:
+                    fr_m = fr[["fundingTime","fundingRate"]].rename(columns={"fundingTime":"open_time"})
+                    fr_m["open_time"] = fr_m["open_time"].dt.floor(_to_floor_freq("1h"))
+                    df["open_time_r2"] = df["open_time"].dt.floor(_to_floor_freq("1h"))
+                    df = df.merge(fr_m, left_on="open_time_r2", right_on="open_time", how="left", suffixes=("","_fr"))
+                    df = df.drop(columns=["open_time_r2","open_time_fr"], errors="ignore")
+                    df["fundingRate"] = df["fundingRate"].ffill().fillna(0)
+            except: pass
             df = compute_indicators(df, interval)
             check_and_alert(df, symbol, interval)
         except Exception as e: