mean

Calculate the mean (average) of a target column.

The rolling mean is a simple moving average that calculates the average of a target variable. This function is widely used in financial analysis to smooth short-term fluctuations and highlight longer-term trends or cycles in time series data.

Example

from openbb import obb

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.mean(data=returns, target="close")

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Parameters

• standard

Name	Type	Description	Default	Optional
data	List[Data]	The time series data as a list of data points.		False
target	str	The name of the column for which to calculate the mean.		False

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Returns

OBBject
    results : List[Data]
        An object containing the mean value.