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OpenBB/website/content/terminal/reference/etf/ta/wma.md
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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
wma Learn how to use Weighted Moving Average (WMA) for better data analysis. This page provides a guide on how to implement WMA, with more weight on recent data and less on past data. It details the usage, parameters, defaults and offers a visual representation for clearer understanding.
Weighted Moving Average
WMA
Simple Moving Average
n_length
n_offset

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

A Weighted Moving Average puts more weight on recent data and less on past data. This is done by multiplying each bar’s price by a weighting factor. Because of its unique calculation, WMA will follow prices more closely than a corresponding Simple Moving Average.

Usage

wma [-l N_LENGTH] [-o N_OFFSET]

Parameters

Name Description Default Optional Choices
n_length Window lengths. Multiple values indicated as comma separated values. 20, 50 True None
n_offset offset 0 True None

wma