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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
donchian This page provides comprehensive documentation on how to calculate and plot Donchian Channels using OpenBB's technical analysis tools. Learn about the parameters and return types to leverage this method in your financial modelling work.
Donchian Channels
Technical Analysis
Financial Modelling
FinTech
Volatility Models
Dataframes
Data Visualization

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

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

Calculate Donchian Channels

Source Code: [link]

openbb.ta.donchian(data: pd.DataFrame, upper_length: int = 20, lower_length: int = 20)

Parameters

Name Type Description Default Optional
data pd.DataFrame Dataframe of ohlc prices None False
upper_length int Length of window to calculate upper channel 20 True
lower_length int Length of window to calculate lower channel 20 True

Returns

Type Description
pd.DataFrame Dataframe of upper and lower channels

Plots donchian channels

Source Code: [link]

openbb.ta.donchian_chart(data: pd.DataFrame, symbol: str = "", upper_length: int = 20, lower_length: int = 20, 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
upper_length int Length of window to calculate upper channel 20 True
lower_length int Length of window to calculate lower channel 20 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