diff --git a/freqtrade/freqai/freqai_util.py b/freqtrade/freqai/freqai_util.py
index d3864a0d0..23df61335 100644
--- a/freqtrade/freqai/freqai_util.py
+++ b/freqtrade/freqai/freqai_util.py
@@ -63,10 +63,10 @@ def get_timerange_and_assets_end_dates_from_ready_models(
 
     all_models_end_dates.append(finish_timestamp)
     all_models_end_dates.sort()
-    start_date = (datetime(*datetime.fromtimestamp(min(all_models_end_dates)).timetuple()[:3],
-                           tzinfo=timezone.utc))
-    end_date = (datetime(*datetime.fromtimestamp(max(all_models_end_dates)).timetuple()[:3],
-                         tzinfo=timezone.utc))
+    start_date = (datetime(*datetime.fromtimestamp(min(all_models_end_dates),
+                  timezone.utc).timetuple()[:3], tzinfo=timezone.utc))
+    end_date = (datetime(*datetime.fromtimestamp(max(all_models_end_dates),
+                timezone.utc).timetuple()[:3], tzinfo=timezone.utc))
 
     # add 1 day to string timerange to ensure BT module will load all dataframe data
     end_date = end_date + timedelta(days=1)
diff --git a/tests/freqai/test_freqai_util.py b/tests/freqai/test_freqai_util.py
index 9e6fdfc87..c548fd3f6 100644
--- a/tests/freqai/test_freqai_util.py
+++ b/tests/freqai/test_freqai_util.py
@@ -87,11 +87,16 @@ def test_get_timerange_from_ready_models(mocker, freqai_conf, model):
 
     data_load_timerange = TimeRange.parse_timerange("20180101-20180130")
 
-    new_timerange = TimeRange.parse_timerange("20180120-20180122")
+    # 1516233600 (2018-01-18 00:00) - Start Training 1
+    # 1516406400 (2018-01-20 00:00) - End Training 1 (Backtest slice 1)
+    # 1516579200 (2018-01-22 00:00) - End Training 2 (Backtest slice 2)
+    # 1516838400 (2018-01-25 00:00) - End Timerange
+
+    new_timerange = TimeRange("date", "date", 1516233600, 1516406400)
     freqai.extract_data_and_train_model(
         new_timerange, "ADA/BTC", strategy, freqai.dk, data_load_timerange)
 
-    new_timerange = TimeRange.parse_timerange("20180122-20180124")
+    new_timerange = TimeRange("date", "date", 1516406400, 1516579200)
     freqai.extract_data_and_train_model(
         new_timerange, "ADA/BTC", strategy, freqai.dk, data_load_timerange)
 
@@ -100,8 +105,8 @@ def test_get_timerange_from_ready_models(mocker, freqai_conf, model):
      pairs_end_dates) = get_timerange_and_assets_end_dates_from_ready_models(models_path=model_path)
 
     assert len(pairs_end_dates["ADA"]) == 2
-    assert backtesting_timerange.startts == 1516492800
-    assert backtesting_timerange.stopts == 1516924800
+    assert backtesting_timerange.startts == 1516406400
+    assert backtesting_timerange.stopts == 1516838400
 
     backtesting_string_timerange = get_timerange_backtest_live_models(freqai_conf)
-    assert backtesting_string_timerange == '20180121-20180126'
+    assert backtesting_string_timerange == '20180120-20180125'