diff --git a/pandas/tests/window/__init__.py b/pandas/tests/window/__init__.py
new file mode 100644
index 0000000000000..e69de29bb2d1d
diff --git a/pandas/tests/window/conftest.py b/pandas/tests/window/conftest.py
new file mode 100644
index 0000000000000..4cbf3d91d21ee
--- /dev/null
+++ b/pandas/tests/window/conftest.py
@@ -0,0 +1,51 @@
+from typing import Any
+
+import pytest
+
+
+@pytest.fixture(params=[True, False])
+def raw(request) -> bool:
+    return request.param
+
+
+@pytest.fixture(
+    params=[
+        "triang",
+        "blackman",
+        "hamming",
+        "bartlett",
+        "bohman",
+        "blackmanharris",
+        "nuttall",
+        "barthann",
+    ]
+)
+def win_types(request) -> str:
+    return request.param
+
+
+@pytest.fixture(params=["kaiser", "gaussian", "general_gaussian", "exponential"])
+def win_types_special(request) -> str:
+    return request.param
+
+
+@pytest.fixture(
+    params=["sum", "mean", "median", "max", "min", "var", "std", "kurt", "skew"]
+)
+def arithmetic_win_operators(request) -> str:
+    return request.param
+
+
+@pytest.fixture(params=['right', 'left', 'both', 'neither'])
+def closed(request) -> str:
+    return request.param
+
+
+@pytest.fixture(params=[True, False])
+def center(request) -> bool:
+    return request.param
+
+
+@pytest.fixture(params=[None, 1])
+def min_periods(request) -> Any:
+    return request.param
diff --git a/pandas/tests/test_window.py b/pandas/tests/window/test_window.py
similarity index 99%
rename from pandas/tests/test_window.py
rename to pandas/tests/window/test_window.py
index 2df5460a05953..7efd5ae5e6058 100644
--- a/pandas/tests/test_window.py
+++ b/pandas/tests/window/test_window.py
@@ -30,39 +30,6 @@ def assert_equal(left, right):
         tm.assert_frame_equal(left, right)
 
 
-@pytest.fixture(params=[True, False])
-def raw(request):
-    return request.param
-
-
-@pytest.fixture(
-    params=[
-        "triang",
-        "blackman",
-        "hamming",
-        "bartlett",
-        "bohman",
-        "blackmanharris",
-        "nuttall",
-        "barthann",
-    ]
-)
-def win_types(request):
-    return request.param
-
-
-@pytest.fixture(params=["kaiser", "gaussian", "general_gaussian", "exponential"])
-def win_types_special(request):
-    return request.param
-
-
-@pytest.fixture(
-    params=["sum", "mean", "median", "max", "min", "var", "std", "kurt", "skew"]
-)
-def arithmetic_win_operators(request):
-    return request.param
-
-
 class Base:
 
     _nan_locs = np.arange(20, 40)