---
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
---