ruff format: Update test strategies

This commit is contained in:
Matthias
2024-05-12 15:41:07 +02:00
parent 099b1fc8c4
commit 8c7d80b78e
23 changed files with 420 additions and 462 deletions
@@ -12,7 +12,6 @@ from freqtrade.strategy.interface import IStrategy
class TestStrategyNoImplements(IStrategy):
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
return super().populate_indicators(dataframe, metadata)
@@ -26,9 +25,15 @@ class TestStrategyImplementCustomSell(TestStrategyNoImplementSell):
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
return super().populate_exit_trend(dataframe, metadata)
def custom_sell(self, pair: str, trade, current_time: datetime,
current_rate: float, current_profit: float,
**kwargs):
def custom_sell(
self,
pair: str,
trade,
current_time: datetime,
current_rate: float,
current_profit: float,
**kwargs,
):
return False
@@ -36,8 +41,9 @@ class TestStrategyImplementBuyTimeout(TestStrategyNoImplementSell):
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
return super().populate_exit_trend(dataframe, metadata)
def check_buy_timeout(self, pair: str, trade, order: Order,
current_time: datetime, **kwargs) -> bool:
def check_buy_timeout(
self, pair: str, trade, order: Order, current_time: datetime, **kwargs
) -> bool:
return False
@@ -45,6 +51,7 @@ class TestStrategyImplementSellTimeout(TestStrategyNoImplementSell):
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
return super().populate_exit_trend(dataframe, metadata)
def check_sell_timeout(self, pair: str, trade, order: Order,
current_time: datetime, **kwargs) -> bool:
def check_sell_timeout(
self, pair: str, trade, order: Order, current_time: datetime, **kwargs
) -> bool:
return False
@@ -6,25 +6,16 @@ from freqtrade.strategy import IStrategy
# Dummy strategy - no longer loads but raises an exception.
class TestStrategyLegacyV1(IStrategy):
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
minimal_roi = {"40": 0.0, "30": 0.01, "20": 0.02, "0": 0.04}
stoploss = -0.10
timeframe = '5m'
timeframe = "5m"
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
return dataframe
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
return dataframe
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
return dataframe