Update strategies with latest parameters

user_data/strategies/Strategy001.py

@@ -39,6 +39,30 @@ class Strategy001(IStrategy):
     # Optimal ticker interval for the strategy
     ticker_interval = '5m'
 
+    # trailing stoploss
+    trailing_stop = False
+    trailing_stop_positive = 0.01
+    trailing_stop_positive_offset = 0.02
+
+    # Optimal ticker interval for the strategy
+    ticker_interval = '5m'
+
+    # run "populate_indicators" only for new candle
+    ta_on_candle = False
+
+    # Experimental settings (configuration will overide these if set)
+    use_sell_signal = True
+    sell_profit_only = True
+    ignore_roi_if_buy_signal = False
+
+    # Optional order type mapping
+    order_types = {
+        'buy': 'limit',
+        'sell': 'limit',
+        'stoploss': 'market',
+        'stoploss_on_exchange': False
+    }
+
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame

user_data/strategies/Strategy002.py

@@ -36,6 +36,30 @@ class Strategy002(IStrategy):
     # Optimal ticker interval for the strategy
     ticker_interval = '5m'
 
+    # trailing stoploss
+    trailing_stop = False
+    trailing_stop_positive = 0.01
+    trailing_stop_positive_offset = 0.02
+
+    # Optimal ticker interval for the strategy
+    ticker_interval = '5m'
+
+    # run "populate_indicators" only for new candle
+    ta_on_candle = False
+
+    # Experimental settings (configuration will overide these if set)
+    use_sell_signal = True
+    sell_profit_only = True
+    ignore_roi_if_buy_signal = False
+
+    # Optional order type mapping
+    order_types = {
+        'buy': 'limit',
+        'sell': 'limit',
+        'stoploss': 'market',
+        'stoploss_on_exchange': False
+    }
+
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame

user_data/strategies/Strategy003.py

@@ -36,6 +36,30 @@ class Strategy003(IStrategy):
     # Optimal ticker interval for the strategy
     ticker_interval = '5m'
 
+    # trailing stoploss
+    trailing_stop = False
+    trailing_stop_positive = 0.01
+    trailing_stop_positive_offset = 0.02
+
+    # Optimal ticker interval for the strategy
+    ticker_interval = '5m'
+
+    # run "populate_indicators" only for new candle
+    ta_on_candle = False
+
+    # Experimental settings (configuration will overide these if set)
+    use_sell_signal = True
+    sell_profit_only = True
+    ignore_roi_if_buy_signal = False
+
+    # Optional order type mapping
+    order_types = {
+        'buy': 'limit',
+        'sell': 'limit',
+        'stoploss': 'market',
+        'stoploss_on_exchange': False
+    }
+
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame

user_data/strategies/Strategy004.py

@@ -35,6 +35,30 @@ class Strategy004(IStrategy):
     # Optimal ticker interval for the strategy
     ticker_interval = '5m'
 
+    # trailing stoploss
+    trailing_stop = False
+    trailing_stop_positive = 0.01
+    trailing_stop_positive_offset = 0.02
+
+    # Optimal ticker interval for the strategy
+    ticker_interval = '5m'
+
+    # run "populate_indicators" only for new candle
+    ta_on_candle = False
+
+    # Experimental settings (configuration will overide these if set)
+    use_sell_signal = True
+    sell_profit_only = True
+    ignore_roi_if_buy_signal = False
+
+    # Optional order type mapping
+    order_types = {
+        'buy': 'limit',
+        'sell': 'limit',
+        'stoploss': 'market',
+        'stoploss_on_exchange': False
+    }
+
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame

user_data/strategies/Strategy005.py

@@ -38,6 +38,30 @@ class Strategy005(IStrategy):
     # Optimal ticker interval for the strategy
     ticker_interval = '5m'
 
+    # trailing stoploss
+    trailing_stop = False
+    trailing_stop_positive = 0.01
+    trailing_stop_positive_offset = 0.02
+
+    # Optimal ticker interval for the strategy
+    ticker_interval = '5m'
+
+    # run "populate_indicators" only for new candle
+    ta_on_candle = False
+
+    # Experimental settings (configuration will overide these if set)
+    use_sell_signal = True
+    sell_profit_only = True
+    ignore_roi_if_buy_signal = False
+
+    # Optional order type mapping
+    order_types = {
+        'buy': 'limit',
+        'sell': 'limit',
+        'stoploss': 'market',
+        'stoploss_on_exchange': False
+    }
+
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         """
         Adds several different TA indicators to the given DataFrame