diff --git a/tests/conftest.py b/tests/conftest.py
index 3d4f1e1e3..5b5c8514f 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -2349,6 +2349,13 @@ def trades_history():
             [1565798399872, '1261aa81333', None, 'sell', 0.019626, 0.011, 0.00021588599999999999]]
 
 
+@pytest.fixture(scope="function")
+def trades_history_df(trades_history):
+    trades = pd.DataFrame(trades_history, columns=constants.DEFAULT_TRADES_COLUMNS)
+    trades['timestamp'] = pd.to_datetime(trades['timestamp'], unit='ms', utc=True)
+    return trades
+
+
 @pytest.fixture(scope="function")
 def fetch_trades_result():
     return [{'info': {'a': 126181329,
diff --git a/tests/data/test_converter.py b/tests/data/test_converter.py
index f23a85501..a701e2f07 100644
--- a/tests/data/test_converter.py
+++ b/tests/data/test_converter.py
@@ -4,6 +4,7 @@ from pathlib import Path
 from shutil import copyfile
 
 import numpy as np
+import pandas as pd
 import pytest
 
 from freqtrade.configuration.timerange import TimeRange
@@ -34,13 +35,13 @@ def test_ohlcv_to_dataframe(ohlcv_history_list, caplog):
     assert log_has('Converting candle (OHLCV) data to dataframe for pair UNITTEST/BTC.', caplog)
 
 
-def test_trades_to_ohlcv(trades_history, caplog):
+def test_trades_to_ohlcv(trades_history_df, caplog):
 
     caplog.set_level(logging.DEBUG)
     with pytest.raises(ValueError, match="Trade-list empty."):
-        trades_to_ohlcv([], '1m')
+        trades_to_ohlcv(pd.DataFrame(columns=trades_history_df.columns), '1m')
 
-    df = trades_to_ohlcv(trades_history, '1m')
+    df = trades_to_ohlcv(trades_history_df, '1m')
     assert not df.empty
     assert len(df) == 1
     assert 'open' in df.columns
@@ -297,13 +298,13 @@ def test_trim_dataframe(testdatadir) -> None:
     assert all(data_modify.iloc[0] == data.iloc[25])
 
 
-def test_trades_remove_duplicates(trades_history):
-    trades_history1 = trades_history * 3
-    assert len(trades_history1) == len(trades_history) * 3
+def test_trades_remove_duplicates(trades_history_df):
+    trades_history1 = pd.concat([trades_history_df, trades_history_df, trades_history_df]
+                                ).reset_index(drop=True)
+    assert len(trades_history1) == len(trades_history_df) * 3
     res = trades_remove_duplicates(trades_history1)
-    assert len(res) == len(trades_history)
-    for i, t in enumerate(res):
-        assert t == trades_history[i]
+    assert len(res) == len(trades_history_df)
+    assert res.equals(trades_history_df)
 
 
 def test_trades_dict_to_list(fetch_trades_result):