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---------

Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
bbands This documentation is about the 'bbands' function in the OpenBB finance library. It allows users to calculate and plot Bollinger Bands for financial data, providing multiple parameters for customization.
OpenBB finance library
Bollinger Bands
Financial data analysis
Python financial tools
Technical analysis
Volatility models
Financial chart plotting

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

Calculate Bollinger Bands

Source Code: [link]

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]

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