diff --git a/freqtrade/constants.py b/freqtrade/constants.py
index 86067d395..f8fb91240 100644
--- a/freqtrade/constants.py
+++ b/freqtrade/constants.py
@@ -112,7 +112,7 @@ CONF_SCHEMA = {
                 'stoploss': {'type': 'string', 'enum': ORDERTYPE_POSSIBILITIES},
                 'stoploss_on_exchange': {'type': 'boolean'}
             },
-            'required': ['buy', 'sell', 'stoploss']
+            'required': ['buy', 'sell', 'stoploss', 'stoploss_on_exchange']
         },
         'exchange': {'$ref': '#/definitions/exchange'},
         'edge': {'$ref': '#/definitions/edge'},
diff --git a/freqtrade/tests/exchange/test_exchange.py b/freqtrade/tests/exchange/test_exchange.py
index 1a46ff001..6ad84585c 100644
--- a/freqtrade/tests/exchange/test_exchange.py
+++ b/freqtrade/tests/exchange/test_exchange.py
@@ -375,7 +375,7 @@ def test_validate_order_types(default_conf, mocker):
     type(api_mock).has = PropertyMock(return_value={'createMarketOrder': False})
     mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
 
-    default_conf['order_types'] = {'buy': 'limit', 'sell': 'limit', 'stoploss': 'market'}
+    default_conf['order_types'] = {'buy': 'limit', 'sell': 'limit', 'stoploss': 'market', 'stoploss_on_exchange': 'false'}
 
     with pytest.raises(OperationalException,
                        match=r'Exchange .* does not support market orders.'):
diff --git a/freqtrade/tests/strategy/test_strategy.py b/freqtrade/tests/strategy/test_strategy.py
index a38050f24..66d988075 100644
--- a/freqtrade/tests/strategy/test_strategy.py
+++ b/freqtrade/tests/strategy/test_strategy.py
@@ -188,7 +188,8 @@ def test_strategy_override_order_types(caplog):
     order_types = {
         'buy': 'market',
         'sell': 'limit',
-        'stoploss': 'limit'
+        'stoploss': 'limit',
+        'stoploss_on_exchange': True,
     }
 
     config = {
@@ -198,13 +199,13 @@ def test_strategy_override_order_types(caplog):
     resolver = StrategyResolver(config)
 
     assert resolver.strategy.order_types
-    for method in ['buy', 'sell', 'stoploss']:
+    for method in ['buy', 'sell', 'stoploss', 'stoploss_on_exchange']:
         assert resolver.strategy.order_types[method] == order_types[method]
 
     assert ('freqtrade.strategy.resolver',
             logging.INFO,
             "Override strategy 'order_types' with value in config file:"
-            " {'buy': 'market', 'sell': 'limit', 'stoploss': 'limit'}."
+            " {'buy': 'market', 'sell': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': True}."
             ) in caplog.record_tuples
 
     config = {
@@ -262,13 +263,13 @@ def test_call_deprecated_function(result, monkeypatch):
     assert resolver.strategy._sell_fun_len == 2
 
     indicator_df = resolver.strategy.advise_indicators(result, metadata=metadata)
-    assert type(indicator_df) is DataFrame
+    assert isinstance(indicator_df, DataFrame)
     assert 'adx' in indicator_df.columns
 
     buydf = resolver.strategy.advise_buy(result, metadata=metadata)
-    assert type(buydf) is DataFrame
+    assert isinstance(buydf, DataFrame)
     assert 'buy' in buydf.columns
 
     selldf = resolver.strategy.advise_sell(result, metadata=metadata)
-    assert type(selldf) is DataFrame
+    assert isinstance(selldf, DataFrame)
     assert 'sell' in selldf
diff --git a/user_data/strategies/test_strategy.py b/user_data/strategies/test_strategy.py
index fd2e9ab75..e7804e683 100644
--- a/user_data/strategies/test_strategy.py
+++ b/user_data/strategies/test_strategy.py
@@ -7,7 +7,7 @@ from pandas import DataFrame
 # Add your lib to import here
 import talib.abstract as ta
 import freqtrade.vendor.qtpylib.indicators as qtpylib
-import numpy # noqa
+import numpy  # noqa
 
 
 # This class is a sample. Feel free to customize it.
@@ -52,7 +52,8 @@ class TestStrategy(IStrategy):
     order_types = {
         'buy': 'limit',
         'sell': 'limit',
-        'stoploss': 'market'
+        'stoploss': 'market',
+        'stoploss_on_exchange': False
     }
 
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: