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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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wma This page provides a comprehensive guide on how to get the Weighted Moving Average (WMA) for stock using OpenBB's wma function. This includes relevant parameters and return values.
Weighted Moving Average
WMA
Stock Analysis
Python Function
Technical Analysis

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

Gets weighted moving average (WMA) for stock

Source Code: [link]

openbb.ta.wma(data: pd.Series, length: int = 50, offset: int = 0)

Parameters

Name Type Description Default Optional
data pd.Series Dataframe of dates and prices None False
length int Length of SMA window 50 True
offset int Length of offset 0 True

Returns

Type Description
pd.DataFrame Dataframe containing prices and WMA