skew

Get the skew of the data set.

Skew is a statistical measure that reveals the degree of asymmetry of a distribution around its mean. Positive skewness indicates a distribution with an extended tail to the right, while negative skewness shows a tail that stretches left. Understanding skewness can provide insights into potential biases in data and help anticipate the nature of future data points. It's particularly useful for identifying the likelihood of extreme outcomes in financial returns, enabling more informed decision-making based on the distribution's shape over a specified period.

Examples

from openbb import obb
# Get Skewness.
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.skew(data=returns, target="close")
obb.quantitative.stats.skew(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}])

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Parameters

• standard

Name	Type	Description	Default	Optional
data	List[Data]	Time series data.		False
target	str	Target column name.		False

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Returns

OBBject
    results : List[Data]
        Rolling skew.