diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py
index f98135c27..6c498a470 100644
--- a/freqtrade/data/btanalysis.py
+++ b/freqtrade/data/btanalysis.py
@@ -16,7 +16,7 @@ from freqtrade.persistence import Trade
 logger = logging.getLogger(__name__)
 
 # must align with columns in backtest.py
-BT_DATA_COLUMNS = ["pair", "profitperc", "open_time", "close_time", "index", "duration",
+BT_DATA_COLUMNS = ["pair", "profit_percent", "open_time", "close_time", "index", "duration",
                    "open_rate", "close_rate", "open_at_end", "sell_reason"]
 
 
@@ -99,7 +99,7 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame:
     trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS)
     persistence.init(db_url, clean_open_orders=False)
 
-    columns = ["pair", "open_time", "close_time", "profit", "profitperc",
+    columns = ["pair", "open_time", "close_time", "profit", "profit_percent",
                "open_rate", "close_rate", "amount", "duration", "sell_reason",
                "fee_open", "fee_close", "open_rate_requested", "close_rate_requested",
                "stake_amount", "max_rate", "min_rate", "id", "exchange",
@@ -190,7 +190,7 @@ def create_cum_profit(df: pd.DataFrame, trades: pd.DataFrame, col_name: str,
     """
     Adds a column `col_name` with the cumulative profit for the given trades array.
     :param df: DataFrame with date index
-    :param trades: DataFrame containing trades (requires columns close_time and profitperc)
+    :param trades: DataFrame containing trades (requires columns close_time and profit_percent)
     :param col_name: Column name that will be assigned the results
     :param timeframe: Timeframe used during the operations
     :return: Returns df with one additional column, col_name, containing the cumulative profit.
@@ -201,7 +201,8 @@ def create_cum_profit(df: pd.DataFrame, trades: pd.DataFrame, col_name: str,
     from freqtrade.exchange import timeframe_to_minutes
     timeframe_minutes = timeframe_to_minutes(timeframe)
     # Resample to timeframe to make sure trades match candles
-    _trades_sum = trades.resample(f'{timeframe_minutes}min', on='close_time')[['profitperc']].sum()
+    _trades_sum = trades.resample(f'{timeframe_minutes}min', on='close_time'
+                                  )[['profit_percent']].sum()
     df.loc[:, col_name] = _trades_sum.cumsum()
     # Set first value to 0
     df.loc[df.iloc[0].name, col_name] = 0
@@ -211,13 +212,13 @@ def create_cum_profit(df: pd.DataFrame, trades: pd.DataFrame, col_name: str,
 
 
 def calculate_max_drawdown(trades: pd.DataFrame, *, date_col: str = 'close_time',
-                           value_col: str = 'profitperc'
+                           value_col: str = 'profit_percent'
                            ) -> Tuple[float, pd.Timestamp, pd.Timestamp]:
     """
     Calculate max drawdown and the corresponding close dates
-    :param trades: DataFrame containing trades (requires columns close_time and profitperc)
+    :param trades: DataFrame containing trades (requires columns close_time and profit_percent)
     :param date_col: Column in DataFrame to use for dates (defaults to 'close_time')
-    :param value_col: Column in DataFrame to use for values (defaults to 'profitperc')
+    :param value_col: Column in DataFrame to use for values (defaults to 'profit_percent')
     :return: Tuple (float, highdate, lowdate) with absolute max drawdown, high and low time
     :raise: ValueError if trade-dataframe was found empty.
     """
diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py
index f1d114e2b..d519c5f4e 100644
--- a/freqtrade/plot/plotting.py
+++ b/freqtrade/plot/plotting.py
@@ -162,7 +162,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
     # Trades can be empty
     if trades is not None and len(trades) > 0:
         # Create description for sell summarizing the trade
-        trades['desc'] = trades.apply(lambda row: f"{round(row['profitperc'] * 100, 1)}%, "
+        trades['desc'] = trades.apply(lambda row: f"{round(row['profit_percent'] * 100, 1)}%, "
                                                   f"{row['sell_reason']}, {row['duration']} min",
                                                   axis=1)
         trade_buys = go.Scatter(
@@ -181,9 +181,9 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
         )
 
         trade_sells = go.Scatter(
-            x=trades.loc[trades['profitperc'] > 0, "close_time"],
-            y=trades.loc[trades['profitperc'] > 0, "close_rate"],
-            text=trades.loc[trades['profitperc'] > 0, "desc"],
+            x=trades.loc[trades['profit_percent'] > 0, "close_time"],
+            y=trades.loc[trades['profit_percent'] > 0, "close_rate"],
+            text=trades.loc[trades['profit_percent'] > 0, "desc"],
             mode='markers',
             name='Sell - Profit',
             marker=dict(
@@ -194,9 +194,9 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
             )
         )
         trade_sells_loss = go.Scatter(
-            x=trades.loc[trades['profitperc'] <= 0, "close_time"],
-            y=trades.loc[trades['profitperc'] <= 0, "close_rate"],
-            text=trades.loc[trades['profitperc'] <= 0, "desc"],
+            x=trades.loc[trades['profit_percent'] <= 0, "close_time"],
+            y=trades.loc[trades['profit_percent'] <= 0, "close_rate"],
+            text=trades.loc[trades['profit_percent'] <= 0, "desc"],
             mode='markers',
             name='Sell - Loss',
             marker=dict(
diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py
index 50cf9db3d..b65db7fd8 100644
--- a/tests/data/test_btanalysis.py
+++ b/tests/data/test_btanalysis.py
@@ -47,7 +47,7 @@ def test_load_trades_from_db(default_conf, fee, mocker):
     assert isinstance(trades, DataFrame)
     assert "pair" in trades.columns
     assert "open_time" in trades.columns
-    assert "profitperc" in trades.columns
+    assert "profit_percent" in trades.columns
 
     for col in BT_DATA_COLUMNS:
         if col not in ['index', 'open_at_end']:
diff --git a/tests/test_plotting.py b/tests/test_plotting.py
index 5bb113784..150329c52 100644
--- a/tests/test_plotting.py
+++ b/tests/test_plotting.py
@@ -124,7 +124,7 @@ def test_plot_trades(testdatadir, caplog):
     trade_sell = find_trace_in_fig_data(figure.data, 'Sell - Profit')
     assert isinstance(trade_sell, go.Scatter)
     assert trade_sell.yaxis == 'y'
-    assert len(trades.loc[trades['profitperc'] > 0]) == len(trade_sell.x)
+    assert len(trades.loc[trades['profit_percent'] > 0]) == len(trade_sell.x)
     assert trade_sell.marker.color == 'green'
     assert trade_sell.marker.symbol == 'square-open'
     assert trade_sell.text[0] == '4.0%, roi, 15 min'
@@ -132,7 +132,7 @@ def test_plot_trades(testdatadir, caplog):
     trade_sell_loss = find_trace_in_fig_data(figure.data, 'Sell - Loss')
     assert isinstance(trade_sell_loss, go.Scatter)
     assert trade_sell_loss.yaxis == 'y'
-    assert len(trades.loc[trades['profitperc'] <= 0]) == len(trade_sell_loss.x)
+    assert len(trades.loc[trades['profit_percent'] <= 0]) == len(trade_sell_loss.x)
     assert trade_sell_loss.marker.color == 'red'
     assert trade_sell_loss.marker.symbol == 'square-open'
     assert trade_sell_loss.text[5] == '-10.4%, stop_loss, 720 min'