Add ticker_interval support in strategy class

freqtrade/misc.py

@@ -383,7 +383,6 @@ CONF_SCHEMA = {
     ],
     'required': [
         'max_open_trades',
-        'ticker_interval',
         'stake_currency',
         'stake_amount',
         'fiat_display_currency',

freqtrade/strategy/default_strategy.py

@@ -27,6 +27,9 @@ class DefaultStrategy(IStrategy):
     # Optimal stoploss designed for the strategy
     stoploss = -0.10
 
+    # Optimal ticker interval for the strategy
+    ticker_interval = 5
+
     def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame

freqtrade/strategy/interface.py

@@ -15,7 +15,8 @@ class IStrategy(ABC):
     """
     Attributes you can use:
         minimal_roi -> Dict: Minimal ROI designed for the strategy
-        stoploss -> float: ptimal stoploss designed for the strategy
+        stoploss -> float: optimal stoploss designed for the strategy
+        ticker_interval -> int: value of the ticker interval to use for the strategy
     """
 
     @abstractmethod

freqtrade/strategy/strategy.py

@@ -41,10 +41,23 @@ class Strategy(object):
 
         if 'stoploss' in config:
             self.custom_strategy.stoploss = config['stoploss']
-            self.logger.info("Override strategy \'stoploss\' with value in config file.")
+            self.logger.info(
+                "Override strategy \'stoploss\' with value in config file: {}.".format(
+                    config['stoploss']
+                )
+            )
+
+        if 'ticker_interval' in config:
+            self.custom_strategy.ticker_interval = config['ticker_interval']
+            self.logger.info(
+                "Override strategy \'ticker_interval\' with value in config file: {}.".format(
+                    config['ticker_interval']
+                )
+            )
 
         self.minimal_roi = self.custom_strategy.minimal_roi
         self.stoploss = self.custom_strategy.stoploss
+        self.ticker_interval = self.custom_strategy.ticker_interval
 
     def _load_strategy(self, strategy_name: str) -> None:
         """

freqtrade/tests/strategy/test_default_strategy.py

@@ -18,6 +18,7 @@ def test_default_strategy_class_name():
 def test_default_strategy_structure():
     assert hasattr(DefaultStrategy, 'minimal_roi')
     assert hasattr(DefaultStrategy, 'stoploss')
+    assert hasattr(DefaultStrategy, 'ticker_interval')
     assert hasattr(DefaultStrategy, 'populate_indicators')
     assert hasattr(DefaultStrategy, 'populate_buy_trend')
     assert hasattr(DefaultStrategy, 'populate_sell_trend')
@@ -30,6 +31,7 @@ def test_default_strategy(result):
 
     assert type(strategy.minimal_roi) is dict
     assert type(strategy.stoploss) is float
+    assert type(strategy.ticker_interval) is int
     indicators = strategy.populate_indicators(result)
     assert type(indicators) is DataFrame
     assert type(strategy.populate_buy_trend(indicators)) is DataFrame

freqtrade/tests/strategy/test_strategy.py

@@ -108,7 +108,23 @@ def test_strategy_override_stoploss(caplog):
     assert strategy.stoploss == -0.5
     assert ('freqtrade.strategy.strategy',
             logging.INFO,
-            'Override strategy \'stoploss\' with value in config file.'
+            'Override strategy \'stoploss\' with value in config file: -0.5.'
+            ) in caplog.record_tuples
+
+
+def test_strategy_override_ticker_interval(caplog):
+    config = {
+        'strategy': 'default_strategy',
+        'ticker_interval': 60
+    }
+    strategy = Strategy()
+    strategy.init(config)
+
+    assert hasattr(strategy.custom_strategy, 'ticker_interval')
+    assert strategy.ticker_interval == 60
+    assert ('freqtrade.strategy.strategy',
+            logging.INFO,
+            'Override strategy \'ticker_interval\' with value in config file: 60.'
             ) in caplog.record_tuples
 
 

user_data/strategies/test_strategy.py

@@ -47,6 +47,9 @@ class TestStrategy(IStrategy):
     # This attribute will be overridden if the config file contains "stoploss"
     stoploss = -0.10
 
+    # Optimal ticker interval for the strategy
+    ticker_interval = 5
+
     def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame