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OpenBB/website/content/terminal/reference/stocks/ta/ema.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
ema This is an explanation and usage guideline for the Exponential Moving Average (EMA), a core tool in technical analysis. Learn about its distinction from the Simple Moving Average and understand how it places greater contribution on recent values, making it more responsive to changes in data.
Exponential Moving Average
technical analysis
Simple Moving Average
ema
ema parameters
ema usage

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

The Exponential Moving Average is a staple of technical analysis and is used in countless technical indicators. In a Simple Moving Average, each value in the time period carries equal weight, and values outside of the time period are not included in the average. However, the Exponential Moving Average is a cumulative calculation, including all data. Past values have a diminishing contribution to the average, while more recent values have a greater contribution. This method allows the moving average to be more responsive to changes in the data.

Usage

ema [-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

ema