diff --git a/freqtrade/analyze.py b/freqtrade/analyze.py
index cee5d175a..fc2395feb 100644
--- a/freqtrade/analyze.py
+++ b/freqtrade/analyze.py
@@ -30,8 +30,9 @@ def parse_ticker_dataframe(ticker: list) -> DataFrame:
     """
     columns = {'C': 'close', 'V': 'volume', 'O': 'open', 'H': 'high', 'L': 'low', 'T': 'date'}
     frame = DataFrame(ticker) \
-        .drop('BV', 1) \
         .rename(columns=columns)
+    if 'BV' in frame:
+        frame.drop('BV', 1, inplace=True)
     frame['date'] = to_datetime(frame['date'], utc=True, infer_datetime_format=True)
     frame.sort_values('date', inplace=True)
     return frame
diff --git a/freqtrade/tests/conftest.py b/freqtrade/tests/conftest.py
index 37dc3e894..7709eae30 100644
--- a/freqtrade/tests/conftest.py
+++ b/freqtrade/tests/conftest.py
@@ -217,3 +217,33 @@ def ticker_history():
             "BV": 0.7039405
         }
     ]
+
+
+@pytest.fixture
+def ticker_history_without_bv():
+    return [
+        {
+            "O": 8.794e-05,
+            "H": 8.948e-05,
+            "L": 8.794e-05,
+            "C": 8.88e-05,
+            "V": 991.09056638,
+            "T": "2017-11-26T08:50:00"
+        },
+        {
+            "O": 8.88e-05,
+            "H": 8.942e-05,
+            "L": 8.88e-05,
+            "C": 8.893e-05,
+            "V": 658.77935965,
+            "T": "2017-11-26T08:55:00"
+        },
+        {
+            "O": 8.891e-05,
+            "H": 8.893e-05,
+            "L": 8.875e-05,
+            "C": 8.877e-05,
+            "V": 7920.73570705,
+            "T": "2017-11-26T09:00:00"
+        }
+    ]
diff --git a/freqtrade/tests/test_analyze.py b/freqtrade/tests/test_analyze.py
index 8da38fcd7..4c8378b3e 100644
--- a/freqtrade/tests/test_analyze.py
+++ b/freqtrade/tests/test_analyze.py
@@ -72,3 +72,16 @@ def test_get_signal_handles_exceptions(mocker):
                  side_effect=Exception('invalid ticker history '))
 
     assert get_signal('BTC-ETH', 5) == (False, False)
+
+
+def test_parse_ticker_dataframe(ticker_history, ticker_history_without_bv):
+
+    columns = ['close', 'high', 'low', 'open', 'date', 'volume']
+
+    # Test file with BV data
+    dataframe = parse_ticker_dataframe(ticker_history)
+    assert dataframe.columns.tolist() == columns
+
+    # Test file without BV data
+    dataframe = parse_ticker_dataframe(ticker_history_without_bv)
+    assert dataframe.columns.tolist() == columns