Module engine
This module contains multiple helper function to execute a backtest.
Functions
def ascending(series: pandas.core.series.Series, lookback: int = 1)-
Check if series is continuously ascending.
Example:
>>> series = pd.Series([1, 4, 3, 6, 7]) >>> ascending(series, lookback=3) # True >>> ascending(series, lookback=5) # FalseArgs:
series: Any pandas series with any index
lookback: Number of previous values to consider. It is also the number of values that needs to becontinuously descending.Returns:
- True if series is continuously ascending, False otherwise
def crossover(series1: pandas.core.series.Series, series2: pandas.core.series.Series)-
Check if series1 crosses over series2
Args:
series1: Any pandas series with any index
series2: Any pandas series with any indexReturns:
- True if series1 crosses over series2, False otherwise
def crossunder(series1: pandas.core.series.Series, series2: pandas.core.series.Series)-
Check if series1 crosses under series2
Args:
series1: Any pandas series with any index
series2: Any pandas series with any indexReturns:
- True if series1 crosses under series2, False otherwise
def descending(series: pandas.core.series.Series, lookback: int = 1)-
Check if series is continuously descending.
Example:
>>> series = pd.Series([10, 7, 8, 7, 5]) >>> descending(series, lookback=3) # True >>> descending(series, lookback=5) # FalseArgs:
series: Any pandas series with any index
lookback: Number of previous values to consider. It is also the number of values that needs to becontinuously descending.Returns:
- True if series is continuously descending, False otherwise