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stdev

Calculate the rolling standard deviation of a target column.

Standard deviation is a measure of the amount of variation or dispersion of a set of values. It is widely used to assess the risk and volatility of financial returns or other time series data It is the square root of the variance.

Examples

from openbb import obb
# Get Standard Deviation.
stock_data = obb.equity.price.historical(symbol="TSLA", start_date="2023-01-01", provider="fmp").to_df()
returns = stock_data["close"].pct_change().dropna()
obb.quantitative.stats.stdev(data=returns, target="close")
obb.quantitative.stats.stdev(target='close', data='[{'date': '2023-01-02', 'close': 0.05}, {'date': '2023-01-03', 'close': 0.08}, {'date': '2023-01-04', 'close': 0.07}, {'date': '2023-01-05', 'close': 0.06}, {'date': '2023-01-06', 'close': 0.06}]')

Parameters

data: list[openbb_core.provider.abstract.data.Data]

The time series data as a list of data points.

Optional: False


target: str

The name of the column for which to calculate standard deviation.

Optional: False


Returns

results: list[Data]

Serializable results.


provider: None

Provider name.


warnings: Optional[list[Warning_]]

list of warnings.


chart: Optional[Chart]

Chart object.


extra: dict[str, Any]

Extra info.