diff --git a/poetry.lock b/poetry.lock
index 1aad3f8..f3d1a0c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand.
 
 [[package]]
 name = "colorama"
@@ -667,4 +667,4 @@ files = [
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11"
-content-hash = "ea27558d9efee082aab062f0b0a8a1049489a7e78aff5f4b5a2186343c64c64a"
+content-hash = "2f2c048ee31cd1433299fceb2f6104ec8e96f9135d2bb057040208619cbb2571"
diff --git a/pyproject.toml b/pyproject.toml
index 68d1cb1..fa450ba 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,7 +35,7 @@ include = [
 ]
 
 [tool.poetry.dependencies]
-pandas = "^2.2.2"
+pandas = ">=2.2.2,<4.0.0"
 numpy = "^2.0.0"
 scipy = "^1.13.0"
 scikit-learn = "^1.5.0"
diff --git a/tests/test_scoring.py b/tests/test_scoring.py
index ded7b01..90a92fa 100644
--- a/tests/test_scoring.py
+++ b/tests/test_scoring.py
@@ -297,7 +297,7 @@ def test_numerai_corr_target_pow15_option(self):
         corr_wo_pow = numerai_corr(df[["prediction"]], df["target"], target_pow15=False)
         # we would expect the correlation to be higher when using the pow15 transformation
         # since the predictions are rank-gauss-pow1.5 transformed in numerai_corr
-        assert abs(corr_w_pow[0]) > abs(corr_wo_pow[0])
+        assert abs(corr_w_pow.iloc[0]) > abs(corr_wo_pow.iloc[0])
 
     def test_filter_top_bottom(self):
         self.assertRaises(