{"id":2061,"date":"2021-02-10T14:32:04","date_gmt":"2021-02-10T14:32:04","guid":{"rendered":"https:\/\/ricovictor.com\/?p=2061"},"modified":"2026-01-29T21:54:12","modified_gmt":"2026-01-29T21:54:12","slug":"calculo-y-tipos-de-medias-moviles-en-r","status":"publish","type":"post","link":"https:\/\/ricovictor.com\/index.php\/2021\/02\/10\/calculo-y-tipos-de-medias-moviles-en-r\/","title":{"rendered":"C\u00e1lculo y Tipos de medias m\u00f3viles en R"},"content":{"rendered":"\t\t
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En <\/span>estad\u00edstica<\/a>\u200b<\/span>, una media m\u00f3vil es un c\u00e1lculo utilizado para analizar un conjunto de datos en modo de puntos para crear series de promedios. As\u00ed las medias m\u00f3viles son una lista de n\u00fameros en la cual cada uno es el promedio de un subconjunto de los datos originales. Hay muchas variantes y tipos de medias m\u00f3viles que se pueden usar en funci\u00f3n de nuestras necesidades. Algunas de ellas son :<\/span><\/p>

* Media m\u00f3vil simple <\/span><\/p>

* Exponencial <\/span><\/p>

* Ponderada <\/span><\/p>

* Doble Exponencial <\/span><\/p>

* Media de Hull <\/span><\/p>

* Ponderada por volumen etc <\/span><\/p>

En este tutorial te explico c\u00f3mo puedes usar la funciones de R para el c\u00e1lculo de algunas de ellas. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\u00a0<\/h2>

Codigo R<\/h2>

# VIDEO MEDIAS MOVILES<\/em><\/p>

#install.packages(\u00abTTR\u00bb)
library(TTR)<\/p>

?EMA<\/p>

SMA(x, n = 10, …) # media m\u00f3vil simple<\/p>

EMA(x, n = 10, wilder = FALSE, ratio = NULL, …) # exponencial<\/p>

DEMA(x, n = 10, v = 1, wilder = FALSE, ratio = NULL) # exponencial doble<\/p>

WMA(x, n = 10, wts = 1:n, …) #(linear weighting) Ponderada<\/p>

EVWMA(price, volume, n = 10, …) #Promedio movil elastico ponderado por volumen<\/p>

HMA(x, n = 20, …) # Hull moving average<\/p>

ALMA(x, n = 9, offset = 0.85, sigma = 6, …) #Arnaud Legoux moving average<\/p>

ZLEMA(x, n = 10, ratio = NULL, …) #Zero lag exponential moving average.<\/p>

VWAP(price, volume, n = 10, …)#Volume-weighed moving average<\/p>

VMA(x, w, ratio = 1, …)<\/p>

#<\/h6>
data(ttrc)<\/h6>

plot(ttrc[,\u00bbClose\u00bb],type=\u00bbl\u00bb)<\/p>

ema.20 <- EMA(ttrc[,\u00bbClose\u00bb], 20)
#plot(ema.20,type=\u00bbl\u00bb)<\/p>

sma.20 <- SMA(ttrc[,\u00bbClose\u00bb], 20)
dema.20 <- DEMA(ttrc[,\u00bbClose\u00bb], 20)
evwma.20 <- EVWMA(ttrc[,\u00bbClose\u00bb], ttrc[,\u00bbVolume\u00bb], 20)
zlema.20 <- ZLEMA(ttrc[,\u00bbClose\u00bb], 20)
alma <- ALMA(ttrc[,\u00bbClose\u00bb])
hma <- HMA(ttrc[,\u00bbClose\u00bb])<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tCurso GRATIS Multicointegraci\u00f3n en FOREX<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

En estad\u00edstica\u200b, una media m\u00f3vil es un c\u00e1lculo utilizado para analizar un conjunto de datos en modo de puntos para crear series de promedios. As\u00ed las medias m\u00f3viles son una lista de n\u00fameros en la cual cada uno es el promedio de un subconjunto de los datos originales. Hay muchas variantes y tipos de medias …<\/p>\n

C\u00e1lculo y Tipos de medias m\u00f3viles en R<\/span> Leer m\u00e1s »<\/a><\/p>\n","protected":false},"author":1,"featured_media":2063,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[2],"tags":[],"yoast_head":"\nC\u00e1lculo y Tipos de medias m\u00f3viles en R - V\u00edctor A. Rico \u2014 Econometr\u00eda y Finanzas Cuantitativas<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ricovictor.com\/index.php\/2021\/02\/10\/calculo-y-tipos-de-medias-moviles-en-r\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"C\u00e1lculo y Tipos de medias m\u00f3viles en R - V\u00edctor A. Rico \u2014 Econometr\u00eda y Finanzas Cuantitativas\" \/>\n<meta property=\"og:description\" content=\"En estad\u00edstica\u200b, una media m\u00f3vil es un c\u00e1lculo utilizado para analizar un conjunto de datos en modo de puntos para crear series de promedios. As\u00ed las medias m\u00f3viles son una lista de n\u00fameros en la cual cada uno es el promedio de un subconjunto de los datos originales. 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