diff --git a/pandas_ta/utils/_signals.py b/pandas_ta/utils/_signals.py
index 18b71e0..4c90a52 100644
--- a/pandas_ta/utils/_signals.py
+++ b/pandas_ta/utils/_signals.py
@@ -77,6 +77,8 @@ def cross(series_a: Series, series_b: Series, above: bool = True, asint: bool =
     previous = series_a.shift(1) < series_b.shift(1)  # previous is below
     # above if both are true, below if both are false
     cross = current & previous if above else ~current & ~previous
+    # ensure there is no cross on the first entry
+    cross[0] = False
 
     if asint:
         cross = cross.astype(int)
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 62c645e..7d83d1e 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -2,7 +2,6 @@ from .config import sample_data
 from .context import pandas_ta
 
 from unittest import skip, TestCase
-from unittest.mock import patch
 
 import numpy as np
 import numpy.testing as npt
@@ -139,6 +138,9 @@ class TestUtilities(TestCase):
         self.assertIsInstance(result, Series)
         npt.assert_array_equal(result, self.crosseddf["crossed"])
 
+        result = self.utils.cross(self.crosseddf["a"], self.crosseddf["b"], above=False)
+        self.assertFalse(result[0])
+
     def test_df_dates(self):
         result = self.utils.df_dates(self.data)
         self.assertEqual(None, result)
@@ -184,7 +186,6 @@ class TestUtilities(TestCase):
         npt.assert_allclose(self.utils.fibonacci(n=5, zero=True, weighted=True), np.array([0, 1 / 12, 1 / 12, 1 / 6, 1 / 4, 5 / 12]))
         npt.assert_allclose(self.utils.fibonacci(n=5, zero=False, weighted=True), np.array([1 / 12, 1 / 12, 1 / 6, 1 / 4, 5 / 12]))
 
-
     def test_geometric_mean(self):
         returns = pandas_ta.percent_return(self.data.close)
         result = self.utils.geometric_mean(returns)