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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
zlma Zero lag exponential moving average (ZLEMA) indicator documentation. Learn how to use and implement the ZLEMA in your data studies with its parameters and usage. Devised by John Ehlers and Ric Way, ZLEMA aids in providing a de-lagged calculation of data.
zlma
zero lag exponential moving average
John Ehlers
Ric Way
EMA
de-lagged data
moving average

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

The zero lag exponential moving average (ZLEMA) indicator was created by John Ehlers and Ric Way. The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.

Usage

zlma [-l N_LENGTH] [-o N_OFFSET]

Parameters

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

zlma