diff --git a/strategies/internal_bar_strength_band.py b/strategies/internal_bar_strength_band.py
new file mode 100644
index 0000000..e946d6b
--- /dev/null
+++ b/strategies/internal_bar_strength_band.py
@@ -0,0 +1,22 @@
+import pandas as pd
+
+def signals(data: pd.DataFrame) -> pd.Series:
+    """
+    Calculate swing trading signals based on Internal Bar Strength Band strategy.
+    
+    Returns a Series with 'L' for long signals and 'N' otherwise.
+    """
+    ma_200 = data['Close'].rolling(window = 200).mean()
+
+    rolling_high_minus_low = (data['High'] - data['Low']).rolling(window = 25).mean()
+    rolling_high = data['High'].rolling(window = 10).max()
+    lower_band = rolling_high - 2.5 * rolling_high_minus_low
+
+    ibs = (data['Close'] - data['Low']) / (data['High'] - data['Low'])
+
+    signals = (
+        (data['Close'] > ma_200) & 
+        (data['Close'] < lower_band) & 
+        (ibs < 0.3)
+    ).apply(lambda condition: 'L' if condition else 'N')
+    return signals
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