--- title: bbands description: OpenBB SDK Function --- import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; # bbands Calculate Bollinger Bands Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/common/technical_analysis/volatility_model.py#L18)] ```python openbb.ta.bbands(data: pd.DataFrame, window: int = 15, n_std: float = 2, mamode: str = "ema") ``` --- ## Parameters | Name | Type | Description | Default | Optional | | ---- | ---- | ----------- | ------- | -------- | | data | pd.DataFrame | Dataframe of ohlc prices | None | False | | window | int | Length of window to calculate BB | 15 | True | | n_std | float | Number of standard deviations to show | 2 | True | | mamode | str | Method of calculating average | ema | True | --- ## Returns | Type | Description | | ---- | ----------- | | pd.DataFrame | Dataframe of bollinger band data | --- Plots bollinger bands Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/common/technical_analysis/volatility_view.py#L27)] ```python openbb.ta.bbands_chart(data: pd.DataFrame, symbol: str = "", window: int = 15, n_std: float = 2, mamode: str = "sma", export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None) ``` --- ## Parameters | Name | Type | Description | Default | Optional | | ---- | ---- | ----------- | ------- | -------- | | data | pd.DataFrame | Dataframe of ohlc prices | None | False | | symbol | str | Ticker symbol | | True | | window | int | Length of window to calculate BB | 15 | True | | n_std | float | Number of standard deviations to show | 2 | True | | mamode | str | Method of calculating average | sma | True | | export | str | Format of export file | | True | | external_axes | Optional[List[plt.Axes]] | External axes (1 axis is expected in the list), by default None | None | True | --- ## Returns This function does not return anything ---