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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
kc This documentation page provides details on the Keltner Channels functionality implemented in the OpenBB Terminal. It includes a guide for using the Keltner Channels analytical model and the chart plotting function.
Keltner Channels
technical analysis
volatility model
chart plotting
financial data analysis
Data visualization
ema filter

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

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

Keltner Channels

Source Code: [link]

openbb.ta.kc(data: pd.DataFrame, window: int = 20, scalar: float = 2, mamode: str = "ema", offset: int = 0)

Parameters

Name Type Description Default Optional
data pd.DataFrame Dataframe of ohlc prices None False
window int Length of window 20 True
scalar float Scalar value 2 True
mamode str Type of filter ema True
offset int Offset value 0 True

Returns

Type Description
pd.DataFrame Dataframe of rolling kc

Plots Keltner Channels Indicator

Source Code: [link]

openbb.ta.kc_chart(data: pd.DataFrame, window: int = 20, scalar: float = 2, mamode: str = "ema", offset: int = 0, symbol: str = "", 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
window int Length of window 20 True
scalar float Scalar value 2 True
mamode str Type of filter ema True
offset int Offset value 0 True
symbol str Ticker symbol 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