Update converter test to use fixture

tests/data/test_converter.py

@@ -34,26 +34,21 @@ 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(ohlcv_history_list, caplog):
+def test_trades_to_ohlcv(trades_history, caplog):
 
     caplog.set_level(logging.DEBUG)
     with pytest.raises(ValueError, match="Trade-list empty."):
         trades_to_ohlcv([], '1m')
 
-    trades = [
-        [1570752011620, "13519807", None, "sell", 0.00141342, 23.0, 0.03250866],
-        [1570752011620, "13519808", None, "sell", 0.00141266, 54.0, 0.07628364],
-        [1570752017964, "13519809", None, "sell", 0.00141266, 8.0, 0.01130128]]
-
-    df = trades_to_ohlcv(trades, '1m')
+    df = trades_to_ohlcv(trades_history, '1m')
     assert not df.empty
     assert len(df) == 1
     assert 'open' in df.columns
     assert 'high' in df.columns
     assert 'low' in df.columns
     assert 'close' in df.columns
-    assert df.loc[:, 'high'][0] == 0.00141342
-    assert df.loc[:, 'low'][0] == 0.00141266
+    assert df.loc[:, 'high'][0] == 0.019627
+    assert df.loc[:, 'low'][0] == 0.019626
 
 
 def test_ohlcv_fill_up_missing_data(testdatadir, caplog):