diff --git a/freqtrade/enums/signaltype.py b/freqtrade/enums/signaltype.py index fcebd9f0e..ca4b8482e 100644 --- a/freqtrade/enums/signaltype.py +++ b/freqtrade/enums/signaltype.py @@ -5,9 +5,9 @@ class SignalType(Enum): """ Enum to distinguish between buy and sell signals """ - BUY = "buy" - SELL = "sell" - SHORT = "short" + BUY = "buy" # To be renamed to enter_long + SELL = "sell" # To be renamed to exit_long + SHORT = "short" # Should be "enter_short" EXIT_SHORT = "exit_short" diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 50677c064..a1e820808 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -207,6 +207,7 @@ class IStrategy(ABC, HyperStrategyMixin): """ pass + # TODO-lev: add side def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float, time_in_force: str, current_time: datetime, **kwargs) -> bool: """ @@ -304,6 +305,7 @@ class IStrategy(ABC, HyperStrategyMixin): """ return None + # TODO-lev: add side def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float, proposed_stake: float, min_stake: float, max_stake: float, **kwargs) -> float: @@ -804,7 +806,11 @@ class IStrategy(ABC, HyperStrategyMixin): "the current function headers!", DeprecationWarning) return self.populate_buy_trend(dataframe) # type: ignore else: - return self.populate_buy_trend(dataframe, metadata) + df = self.populate_buy_trend(dataframe, metadata) + # TODO-lev: IF both buy and enter_long exist, this will fail. + df = df.rename({'buy': 'enter_long', 'buy_tag': 'long_tag'}, axis='columns') + + return df def advise_sell(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ @@ -822,7 +828,9 @@ class IStrategy(ABC, HyperStrategyMixin): "the current function headers!", DeprecationWarning) return self.populate_sell_trend(dataframe) # type: ignore else: - return self.populate_sell_trend(dataframe, metadata) + df = self.populate_sell_trend(dataframe, metadata) + # TODO-lev: IF both sell and exit_long exist, this will fail at a later point + return df.rename({'sell': 'exit_long'}, axis='columns') def leverage(self, pair: str, current_time: datetime, current_rate: float, proposed_leverage: float, max_leverage: float,