Update config dict with attributes loaded from strategy

freqtrade/strategy/resolver.py

@@ -41,12 +41,16 @@ class StrategyResolver(object):
         if 'minimal_roi' in config:
             self.strategy.minimal_roi = config['minimal_roi']
             logger.info("Override strategy \'minimal_roi\' with value in config file.")
+        else:
+            config['minimal_roi'] = self.strategy.minimal_roi
 
         if 'stoploss' in config:
             self.strategy.stoploss = config['stoploss']
             logger.info(
                 "Override strategy \'stoploss\' with value in config file: %s.", config['stoploss']
             )
+        else:
+            config['stoploss'] = self.strategy.stoploss
 
         if 'ticker_interval' in config:
             self.strategy.ticker_interval = config['ticker_interval']
@@ -54,6 +58,8 @@ class StrategyResolver(object):
                 "Override strategy \'ticker_interval\' with value in config file: %s.",
                 config['ticker_interval']
             )
+        else:
+            config['ticker_interval'] = self.strategy.ticker_interval
 
         # Sort and apply type conversions
         self.strategy.minimal_roi = OrderedDict(sorted(

freqtrade/tests/strategy/test_strategy.py

@@ -74,13 +74,21 @@ def test_load_not_found_strategy():
 
 
 def test_strategy(result):
-    resolver = StrategyResolver({'strategy': 'DefaultStrategy'})
+    config = {'strategy': 'DefaultStrategy'}
+
+    resolver = StrategyResolver(config)
 
     assert hasattr(resolver.strategy, 'minimal_roi')
     assert resolver.strategy.minimal_roi[0] == 0.04
+    assert config.get("minimal_roi")['0'] == 0.04
 
     assert hasattr(resolver.strategy, 'stoploss')
     assert resolver.strategy.stoploss == -0.10
+    assert config['stoploss'] == -0.10
+
+    assert hasattr(resolver.strategy, 'ticker_interval')
+    assert resolver.strategy.ticker_interval == '5m'
+    assert config['ticker_interval'] == '5m'
 
     assert hasattr(resolver.strategy, 'populate_indicators')
     assert 'adx' in resolver.strategy.populate_indicators(result)