kurtosis
Calculate the rolling kurtosis of a target column.
Kurtosis measures the "tailedness" of the probability distribution of a real-valued random variable. High kurtosis indicates a distribution with heavy tails (outliers), suggesting a higher risk of extreme outcomes. Low kurtosis indicates a distribution with lighter tails (less outliers), suggesting less risk of extreme outcomes. This function helps in assessing the risk of outliers in financial returns or other time series data.
Parameters
- standard
data: ForwardRef('Data') | ForwardRef('DataFrame') | ForwardRef('Series') | ForwardRef('ndarray') | dict | list
target: str
Returns
results: list[Data]
Serializable results.
provider: str
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard