diff --git a/src/numta/api/momentum_indicators.py b/src/numta/api/momentum_indicators.py
index 143c4bd..ed3210b 100644
--- a/src/numta/api/momentum_indicators.py
+++ b/src/numta/api/momentum_indicators.py
@@ -2534,11 +2534,12 @@ def MFI(high: Union[np.ndarray, list],
     if timeperiod < 2:
         raise ValueError("timeperiod must be >= 2")
 
-    # Convert to numpy arrays
-    high = np.asarray(high, dtype=np.float64)
-    low = np.asarray(low, dtype=np.float64)
-    close = np.asarray(close, dtype=np.float64)
-    volume = np.asarray(volume, dtype=np.float64)
+    # Convert to numpy arrays with float64 dtype and ensure contiguous memory layout
+    # This prevents potential segfaults in numba JIT-compiled functions
+    high = np.ascontiguousarray(np.asarray(high, dtype=np.float64))
+    low = np.ascontiguousarray(np.asarray(low, dtype=np.float64))
+    close = np.ascontiguousarray(np.asarray(close, dtype=np.float64))
+    volume = np.ascontiguousarray(np.asarray(volume, dtype=np.float64))
 
     n = len(high)
     if len(low) != n or len(close) != n or len(volume) != n:
diff --git a/tests/test_pandas_ext_comprehensive.py b/tests/test_pandas_ext_comprehensive.py
index 7ab8a0f..72dcef0 100644
--- a/tests/test_pandas_ext_comprehensive.py
+++ b/tests/test_pandas_ext_comprehensive.py
@@ -357,7 +357,14 @@ def test_ad_calculation(self, sample_df):
     
     def test_mfi_calculation(self, sample_df):
         """Test MFI calculation."""
-        result = sample_df.ta.mfi(timeperiod=14)
+        # Ensure OHLCV data has correct dtypes to prevent numba JIT issues
+        df = sample_df.copy()
+        df['high'] = df['high'].astype(np.float64)
+        df['low'] = df['low'].astype(np.float64)
+        df['close'] = df['close'].astype(np.float64)
+        df['volume'] = df['volume'].astype(np.float64)
+        
+        result = df.ta.mfi(timeperiod=14)
         assert isinstance(result, pd.Series)
         
         # MFI should be bounded between 0 and 100