Update strategies with latest parameters

README.md

@@ -1,6 +1,6 @@
 # Freqtrade strategies
 
-This Git repo contains free buy/sell strategies for [Freqtrade](https://github.com/freqtrade/freqtrade) >= `0.16.0`.
+This Git repo contains free buy/sell strategies for [Freqtrade](https://github.com/freqtrade/freqtrade).
 
 ## Disclaimer
 
@@ -48,6 +48,9 @@ page.
 Strategies from this repo are free to use. Feel free to update them. 
 Most of them  were designed from Hyperopt calculations.
 
+Some only work in specific market conditions, while others are more "general purpose" strategies.
+It's noteworthy that depending on the exchange and Pairs used, further optimization can bring better results.
+
 ## Share your own strategies and contribute to this repo
 
 Feel free to send your strategies, comments, optimizations and pull requests via an 
@@ -83,7 +86,7 @@ enabled and disabled.
 
 ### How to install a strategy?
 
-First you need a [working Freqtrade](https://freqtrade.io) in version >= 0.16.0.
+First you need a [working Freqtrade](https://freqtrade.io).
 
 Once you have the bot on the right version, follow this steps:
 
@@ -111,12 +114,10 @@ python3 ./freqtrade/main.py -s Strategy001 backtesting
 python3 ./freqtrade/main.py -s Strategy001 backtesting --refresh-pairs-cached
 ```
 
+*Note:* Generally, it's recommendet to use static backtest data (from a defined period of time) for compareable results.
+
 #### Test with live data
 
 ```bash
 python3 ./freqtrade/main.py -s Strategy001 backtesting --live
 ```
-
-## Can I have your configuration file?
-
-You will find them into [user_data/](https://github.com/freqtrade/freqtrade-strategies/tree/master/user_data) folder.

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