diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py
index e07b0a40f..e7af5eab8 100644
--- a/freqtrade/data/btanalysis.py
+++ b/freqtrade/data/btanalysis.py
@@ -156,33 +156,35 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non
 
         data = data['strategy'][strategy]['trades']
         df = pd.DataFrame(data)
-        df['open_date'] = pd.to_datetime(df['open_date'],
-                                         utc=True,
-                                         infer_datetime_format=True
-                                         )
-        df['close_date'] = pd.to_datetime(df['close_date'],
-                                          utc=True,
-                                          infer_datetime_format=True
-                                          )
+        if not df.empty:
+            df['open_date'] = pd.to_datetime(df['open_date'],
+                                             utc=True,
+                                             infer_datetime_format=True
+                                             )
+            df['close_date'] = pd.to_datetime(df['close_date'],
+                                              utc=True,
+                                              infer_datetime_format=True
+                                              )
     else:
         # old format - only with lists.
         df = pd.DataFrame(data, columns=BT_DATA_COLUMNS_OLD)
-
-        df['open_date'] = pd.to_datetime(df['open_date'],
-                                         unit='s',
-                                         utc=True,
-                                         infer_datetime_format=True
-                                         )
-        df['close_date'] = pd.to_datetime(df['close_date'],
-                                          unit='s',
-                                          utc=True,
-                                          infer_datetime_format=True
-                                          )
-        # Create compatibility with new format
-        df['profit_abs'] = df['close_rate'] - df['open_rate']
-    if 'profit_ratio' not in df.columns:
-        df['profit_ratio'] = df['profit_percent']
-    df = df.sort_values("open_date").reset_index(drop=True)
+        if not df.empty:
+            df['open_date'] = pd.to_datetime(df['open_date'],
+                                             unit='s',
+                                             utc=True,
+                                             infer_datetime_format=True
+                                             )
+            df['close_date'] = pd.to_datetime(df['close_date'],
+                                              unit='s',
+                                              utc=True,
+                                              infer_datetime_format=True
+                                              )
+            # Create compatibility with new format
+            df['profit_abs'] = df['close_rate'] - df['open_rate']
+    if not df.empty:
+        if 'profit_ratio' not in df.columns:
+            df['profit_ratio'] = df['profit_percent']
+        df = df.sort_values("open_date").reset_index(drop=True)
     return df
 
 
diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py
index d5a729ee1..bb4283406 100644
--- a/freqtrade/plot/plotting.py
+++ b/freqtrade/plot/plotting.py
@@ -77,7 +77,8 @@ def init_plotscript(config, markets: List, startup_candles: int = 0):
         )
     except ValueError as e:
         raise OperationalException(e) from e
-    trades = trim_dataframe(trades, timerange, 'open_date')
+    if not trades.empty:
+        trades = trim_dataframe(trades, timerange, 'open_date')
 
     return {"ohlcv": data,
             "trades": trades,
@@ -540,8 +541,11 @@ def load_and_plot_trades(config: Dict[str, Any]):
 
         df_analyzed = strategy.analyze_ticker(data, {'pair': pair})
         df_analyzed = trim_dataframe(df_analyzed, timerange)
-        trades_pair = trades.loc[trades['pair'] == pair]
-        trades_pair = extract_trades_of_period(df_analyzed, trades_pair)
+        if not trades.empty:
+            trades_pair = trades.loc[trades['pair'] == pair]
+            trades_pair = extract_trades_of_period(df_analyzed, trades_pair)
+        else:
+            trades_pair = trades
 
         fig = generate_candlestick_graph(
             pair=pair,