diff --git a/freqtrade/edge/edge_positioning.py b/freqtrade/edge/edge_positioning.py
index 6a95ad91f..a40b63d67 100644
--- a/freqtrade/edge/edge_positioning.py
+++ b/freqtrade/edge/edge_positioning.py
@@ -310,8 +310,10 @@ class Edge:
 
         # Calculating number of losing trades, average win and average loss
         df['nb_loss_trades'] = df['nb_trades'] - df['nb_win_trades']
-        df['average_win'] = df['profit_sum'] / df['nb_win_trades']
-        df['average_loss'] = df['loss_sum'] / df['nb_loss_trades']
+        df['average_win'] = np.where(df['nb_win_trades'] == 0, 0.0,
+                                     df['profit_sum'] / df['nb_win_trades'])
+        df['average_loss'] = np.where(df['nb_loss_trades'] == 0, 0.0,
+                                      df['loss_sum'] / df['nb_loss_trades'])
 
         # Win rate = number of profitable trades / number of trades
         df['winrate'] = df['nb_win_trades'] / df['nb_trades']
diff --git a/tests/edge/test_edge.py b/tests/edge/test_edge.py
index f19590490..a4bfa1085 100644
--- a/tests/edge/test_edge.py
+++ b/tests/edge/test_edge.py
@@ -499,3 +499,61 @@ def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
     assert final['TEST/BTC'].stoploss == -0.9
     assert final['TEST/BTC'].nb_trades == len(trades_df) - 1
     assert round(final['TEST/BTC'].winrate, 10) == 0.0
+
+
+def test_process_expectancy_only_wins(mocker, edge_conf, fee,):
+    edge_conf['edge']['min_trade_number'] = 2
+    freqtrade = get_patched_freqtradebot(mocker, edge_conf)
+
+    freqtrade.exchange.get_fee = fee
+    edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
+
+    trades = [
+        {'pair': 'TEST/BTC',
+         'stoploss': -0.9,
+         'profit_percent': '',
+         'profit_abs': '',
+         'open_date': np.datetime64('2018-10-03T00:05:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:10:00.000000000'),
+         'open_index': 1,
+         'close_index': 1,
+         'trade_duration': '',
+         'open_rate': 15,
+         'close_rate': 17,
+         'exit_type': 'sell_signal'},
+        {'pair': 'TEST/BTC',
+         'stoploss': -0.9,
+         'profit_percent': '',
+         'profit_abs': '',
+         'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
+         'open_index': 4,
+         'close_index': 4,
+         'trade_duration': '',
+         'open_rate': 10,
+         'close_rate': 20,
+         'exit_type': 'sell_signal'},
+        {'pair': 'TEST/BTC',
+         'stoploss': -0.9,
+         'profit_percent': '',
+         'profit_abs': '',
+         'open_date': np.datetime64('2018-10-03T00:30:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:40:00.000000000'),
+         'open_index': 6,
+         'close_index': 7,
+         'trade_duration': '',
+         'open_rate': 26,
+         'close_rate': 134,
+         'exit_type': 'sell_signal'}
+    ]
+
+    trades_df = DataFrame(trades)
+    trades_df = edge._fill_calculable_fields(trades_df)
+    final = edge._process_expectancy(trades_df)
+
+    assert 'TEST/BTC' in final
+    assert final['TEST/BTC'].stoploss == -0.9
+    assert final['TEST/BTC'].nb_trades == len(trades_df)
+    assert round(final['TEST/BTC'].winrate, 10) == 1.0
+    assert round(final['TEST/BTC'].risk_reward_ratio, 10) == float('inf')
+    assert round(final['TEST/BTC'].expectancy, 10) == float('inf')