diff --git a/user_data/strategies/Strategy001.py b/user_data/strategies/Strategy001.py index a58fc68..2c04413 100644 --- a/user_data/strategies/Strategy001.py +++ b/user_data/strategies/Strategy001.py @@ -63,6 +63,19 @@ class Strategy001(IStrategy): 'stoploss_on_exchange': False } + def informative_pairs(self): + """ + Define additional, informative pair/interval combinations to be cached from the exchange. + These pair/interval combinations are non-tradeable, unless they are part + of the whitelist as well. + For more information, please consult the documentation + :return: List of tuples in the format (pair, interval) + Sample: return [("ETH/USDT", "5m"), + ("BTC/USDT", "15m"), + ] + """ + return [] + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ Adds several different TA indicators to the given DataFrame diff --git a/user_data/strategies/Strategy002.py b/user_data/strategies/Strategy002.py index 3c2ced5..5f1e7f0 100644 --- a/user_data/strategies/Strategy002.py +++ b/user_data/strategies/Strategy002.py @@ -60,6 +60,19 @@ class Strategy002(IStrategy): 'stoploss_on_exchange': False } + def informative_pairs(self): + """ + Define additional, informative pair/interval combinations to be cached from the exchange. + These pair/interval combinations are non-tradeable, unless they are part + of the whitelist as well. + For more information, please consult the documentation + :return: List of tuples in the format (pair, interval) + Sample: return [("ETH/USDT", "5m"), + ("BTC/USDT", "15m"), + ] + """ + return [] + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ Adds several different TA indicators to the given DataFrame diff --git a/user_data/strategies/Strategy003.py b/user_data/strategies/Strategy003.py index c369ba6..0ed7fb2 100644 --- a/user_data/strategies/Strategy003.py +++ b/user_data/strategies/Strategy003.py @@ -60,6 +60,19 @@ class Strategy003(IStrategy): 'stoploss_on_exchange': False } + def informative_pairs(self): + """ + Define additional, informative pair/interval combinations to be cached from the exchange. + These pair/interval combinations are non-tradeable, unless they are part + of the whitelist as well. + For more information, please consult the documentation + :return: List of tuples in the format (pair, interval) + Sample: return [("ETH/USDT", "5m"), + ("BTC/USDT", "15m"), + ] + """ + return [] + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ Adds several different TA indicators to the given DataFrame diff --git a/user_data/strategies/Strategy004.py b/user_data/strategies/Strategy004.py index ab6509e..8bb27aa 100644 --- a/user_data/strategies/Strategy004.py +++ b/user_data/strategies/Strategy004.py @@ -58,6 +58,19 @@ class Strategy004(IStrategy): 'stoploss': 'market', 'stoploss_on_exchange': False } + + def informative_pairs(self): + """ + Define additional, informative pair/interval combinations to be cached from the exchange. + These pair/interval combinations are non-tradeable, unless they are part + of the whitelist as well. + For more information, please consult the documentation + :return: List of tuples in the format (pair, interval) + Sample: return [("ETH/USDT", "5m"), + ("BTC/USDT", "15m"), + ] + """ + return [] def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ diff --git a/user_data/strategies/Strategy005.py b/user_data/strategies/Strategy005.py index b9ed18a..0f311fc 100644 --- a/user_data/strategies/Strategy005.py +++ b/user_data/strategies/Strategy005.py @@ -62,6 +62,19 @@ class Strategy005(IStrategy): 'stoploss_on_exchange': False } + def informative_pairs(self): + """ + Define additional, informative pair/interval combinations to be cached from the exchange. + These pair/interval combinations are non-tradeable, unless they are part + of the whitelist as well. + For more information, please consult the documentation + :return: List of tuples in the format (pair, interval) + Sample: return [("ETH/USDT", "5m"), + ("BTC/USDT", "15m"), + ] + """ + return [] + def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ Adds several different TA indicators to the given DataFrame