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fynance.features.metrics.roll_sharpe

# fynance.features.metrics.roll_mdd¶

fynance.features.metrics.roll_mdd(X, w=None, raw=False, axis=0, dtype=None)

Compute the rolling maximum drawdown for each X’ series.

Where drawdown is the measure of the decline from a historical peak in some variable [5] (typically the cumulative profit or total open equity of a financial trading strategy).

Parameters: X : np.ndarray[dtype, ndim=1 or 2] Time series (price, performance or index). w : int, optional Size of the lagged window of the rolling function, must be positive. If w is None or w=0, then w=X.shape[axis]. Default is None. raw : bool, optional If True then compute the raw drawdown. Else (default) compute the drawdown in percentage. axis : {0, 1}, optional Axis along wich the computation is done. Default is 0. dtype : np.dtype, optional The type of the output array. If dtype is not given, infer the data type from X input. np.ndrray[dtype, ndim=1 or 2] Series of rolling maximum drawdown for each series.

References

Examples

>>> X = np.array([70, 100, 80, 120, 160, 80])
>>> roll_mdd(X, dtype=np.float64)
array([0. , 0. , 0.2, 0.2, 0.2, 0.5])
>>> roll_mdd(X, w=3, dtype=np.float64)
array([0. , 0. , 0.2, 0.2, 0. , 0.5])
>>> X = np.array([100, 80, 70, 75, 110, 80]).astype(np.float64)
>>> roll_mdd(X, raw=True, w=3, dtype=np.float64)
array([ 0., 20., 30., 10.,  0., 30.])