jerry/OpenBB
1
0
Fork 0
mirror of https://github.com/OpenBB-finance/OpenBB.git synced 2026-11-03 07:51:49 +00:00
Code Issues Packages Projects Releases Wiki Activity
Files
cd08218c35aed534ad59309ff2ca99d08e94de6a
OpenBB/website/content/terminal/reference/stocks/ta/wma.md
DidierRLopes 4ad995fdd0 Docs/terminalpro and improvement (#5622) 
* add first iteration of content for Terminal Pro

* Update index.md

* Update dashboards.md

* Update folders.md

* Update grouping.md

* Update report.md

* Update templates.md

* Update quick-start.md

* Update index.md

* Update index.md

* Update home.md

* Update news.md

* Update index.md

* Update index.md

* Update index.md

* Update data-provider.md

* Update chat-with-widget.md

* Update data-manipulation.md

* Update forecasting.md

* fix: images self closing tags

* fix: only pro visitors can see pro

* inter font

* improve SEO content and restructuring

* add new package for toggle on tutorials

* move folder around

* improve main page of each prod

* small updates and improvements

* fix logo above

* small improvement in headtitle for portfolio funcs

* fix typos from OpenAI's GPT-4

* fix _category_ json

* remove generic SEO words

* add script that generates SEO for documentation

* add missing file

* remove sdk warning message

* fix links for andrew

---------

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

1.2 KiB
Vendored
Raw Blame History

title, description, keywords
title description keywords
wma Learn how to use the Weighted Moving Average (WMA) in data analysis with this comprehensive guide. The WMA accentuates recent prices over past figures, thus providing close follow-up of market trends.
Weighted Moving Average
WMA
data
data analysis
market trends
price tracking

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