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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
macd This page provides a comprehensive guide to MACD (Moving Average Convergence Divergence) implementation in OpenBB terminal. It explains how to model and visualize the MACD signal using Python as well as the parameters involved.
macd
OpenBB_terminal
technical analysis
moving average convergence divergence
plotting macd
macd signal
data visualization
momentum model
momentum view

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

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

Moving average convergence divergence

Source Code: [link]

openbb.ta.macd(data: pd.Series, n_fast: int = 12, n_slow: int = 26, n_signal: int = 9)

Parameters

Name Type Description Default Optional
data pd.Series Values for calculation None False
n_fast int Fast period 12 True
n_slow int Slow period 26 True
n_signal int Signal period 9 True

Returns

Type Description
pd.DataFrame Dataframe of technical indicator

Plots MACD signal

Source Code: [link]

openbb.ta.macd_chart(data: pd.Series, n_fast: int = 12, n_slow: int = 26, n_signal: int = 9, symbol: str = "", export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)

Parameters

Name Type Description Default Optional
data pd.Series Values to input None False
n_fast int Fast period 12 True
n_slow int Slow period 26 True
n_signal int Signal period 9 True
symbol str Stock ticker 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