diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index 720069f84..0d5910a62 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -919,11 +919,10 @@ class Backtesting:
         return trade
 
     def handle_left_open(self, open_trades: Dict[str, List[LocalTrade]],
-                         data: Dict[str, List[Tuple]]) -> List[LocalTrade]:
+                         data: Dict[str, List[Tuple]]) -> None:
         """
         Handling of left open trades at the end of backtesting
         """
-        trades = []
         for pair in open_trades.keys():
             if len(open_trades[pair]) > 0:
                 for trade in open_trades[pair]:
@@ -938,11 +937,6 @@ class Backtesting:
                     trade.exit_reason = ExitType.FORCE_EXIT.value
                     trade.close(exit_row[OPEN_IDX], show_msg=False)
                     LocalTrade.close_bt_trade(trade)
-                    # Deepcopy object to have wallets update correctly
-                    trade1 = deepcopy(trade)
-                    trade1.is_open = True
-                    trades.append(trade1)
-        return trades
 
     def trade_slot_available(self, max_open_trades: int, open_trade_count: int) -> bool:
         # Always allow trades when max_open_trades is enabled.
@@ -1094,7 +1088,6 @@ class Backtesting:
         :param enable_protections: Should protections be enabled?
         :return: DataFrame with trades (results of backtesting)
         """
-        trades: List[LocalTrade] = []
         self.prepare_backtest(enable_protections)
         # Ensure wallets are uptodate (important for --strategy-list)
         self.wallets.update()
@@ -1188,7 +1181,6 @@ class Backtesting:
                             open_trade_count -= 1
                             open_trades[pair].remove(trade)
                             LocalTrade.close_bt_trade(trade)
-                            trades.append(trade)
                         self.wallets.update()
                         self.run_protections(
                             enable_protections, pair, current_time, trade.trade_direction)
@@ -1197,10 +1189,10 @@ class Backtesting:
             self.progress.increment()
             current_time += timedelta(minutes=self.timeframe_min)
 
-        trades += self.handle_left_open(open_trades, data=data)
+        self.handle_left_open(open_trades, data=data)
         self.wallets.update()
 
-        results = trade_list_to_dataframe(trades)
+        results = trade_list_to_dataframe(LocalTrade.trades)
         return {
             'results': results,
             'config': self.strategy.config,
diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index 8dafe2e41..c406f866b 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -408,10 +408,10 @@ def generate_strategy_stats(pairlist: List[str],
 
     exit_reason_stats = generate_exit_reason_stats(max_open_trades=max_open_trades,
                                                    results=results)
-    left_open_results = generate_pair_metrics(pairlist, stake_currency=stake_currency,
-                                              starting_balance=start_balance,
-                                              results=results.loc[results['is_open']],
-                                              skip_nan=True)
+    left_open_results = generate_pair_metrics(
+        pairlist, stake_currency=stake_currency, starting_balance=start_balance,
+        results=results.loc[results['exit_reason'] == 'force_exit'], skip_nan=True)
+
     daily_stats = generate_daily_stats(results)
     trade_stats = generate_trading_stats(results)
     best_pair = max([pair for pair in pair_results if pair['key'] != 'TOTAL'],
diff --git a/tests/freqai/test_freqai_interface.py b/tests/freqai/test_freqai_interface.py
index 7eb745dd9..8c37ea7da 100644
--- a/tests/freqai/test_freqai_interface.py
+++ b/tests/freqai/test_freqai_interface.py
@@ -55,6 +55,7 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model):
 
     data_load_timerange = TimeRange.parse_timerange("20180125-20180130")
     new_timerange = TimeRange.parse_timerange("20180127-20180130")
+    freqai.dk.set_paths('ADA/BTC', None)
 
     freqai.train_timer("start", "ADA/BTC")
     freqai.extract_data_and_train_model(
@@ -99,6 +100,7 @@ def test_extract_data_and_train_model_MultiTargets(mocker, freqai_conf, model):
 
     data_load_timerange = TimeRange.parse_timerange("20180110-20180130")
     new_timerange = TimeRange.parse_timerange("20180120-20180130")
+    freqai.dk.set_paths('ADA/BTC', None)
 
     freqai.extract_data_and_train_model(
         new_timerange, "ADA/BTC", strategy, freqai.dk, data_load_timerange)
@@ -140,6 +142,7 @@ def test_extract_data_and_train_model_Classifiers(mocker, freqai_conf, model):
 
     data_load_timerange = TimeRange.parse_timerange("20180110-20180130")
     new_timerange = TimeRange.parse_timerange("20180120-20180130")
+    freqai.dk.set_paths('ADA/BTC', None)
 
     freqai.extract_data_and_train_model(new_timerange, "ADA/BTC",
                                         strategy, freqai.dk, data_load_timerange)