--- title: rolling description: A documentation page explaining the functionality of the OpenBB rolling model and rolling chart. These tools deal with computing and plotting rolling means and standard deviations in financial data, mapped by stock symbols or tickers. The methods are implemented in Python and operate on dataframes. keywords: - rolling - quantitative analysis - dataframe - standard deviation - mean - Stock ticker - window --- import HeadTitle from '@site/src/components/General/HeadTitle.tsx'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; Return rolling mean and standard deviation Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/common/quantitative_analysis/rolling_model.py#L16)] ```python openbb.qa.rolling(data: pd.DataFrame, window: int = 14) ``` --- ## Parameters | Name | Type | Description | Default | Optional | | ---- | ---- | ----------- | ------- | -------- | | data | pd.DataFrame | Dataframe of target data | None | False | | window | int | Length of rolling window | 14 | True | --- ## Returns | Type | Description | | ---- | ----------- | | Tuple[pd.DataFrame, pd.DataFrame] | Dataframe of rolling mean,
Dataframe of rolling standard deviation | ---
Plots mean std deviation Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/common/quantitative_analysis/rolling_view.py#L26)] ```python openbb.qa.rolling_chart(data: pd.DataFrame, target: str, symbol: str = "", window: int = 14, export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None) ``` --- ## Parameters | Name | Type | Description | Default | Optional | | ---- | ---- | ----------- | ------- | -------- | | data | pd.DataFrame | Dataframe | None | False | | target | str | Column in data to look at | None | False | | symbol | str | Stock ticker | | True | | window | int | Length of window | 14 | True | | export | str | Format to export data | | True | | external_axes | Optional[List[plt.Axes]] | External axes (2 axes are expected in the list), by default None | None | True | --- ## Returns This function does not return anything ---