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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

1.4 KiB
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title, description, keywords
title description keywords
zlma The ZLMA (Zero Lag Exponential Moving Average) indicator page covers the concept, usage, and parameters like n_length and n_offset. This indicator, developed by John Ehlers and Ric Way, is used for moving average calculation on de-lagged data. The page also provides a visual representation of the zlma method.
zlma
zero lag exponential moving average
EMA
John Ehlers
Ric Way
moving average calculation
lag
de-lagged data
n_length
n_offset

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