diff --git a/NAMESPACE b/NAMESPACE
index c9038dd..3f316be 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -29,6 +29,7 @@ export(ax_dataLabels)
 export(ax_facet_grid)
 export(ax_facet_wrap)
 export(ax_fill)
+export(ax_forecast_data_points)
 export(ax_grid)
 export(ax_labels)
 export(ax_labels2)
diff --git a/NEWS.md b/NEWS.md
index 140b42f..b5f61ad 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -3,6 +3,7 @@ apexcharter 0.4.1
 
 * Updated ApexCharts.js to 3.40.0 (new chart type: dumbbell chart).
 * `apex()` : added support for boxplot.
+* New function `ax_forecast_data_points()` to mark points as forecasted values.
 
 
 
diff --git a/R/apex-utils.R b/R/apex-utils.R
index 8785d6e..2d30a6a 100644
--- a/R/apex-utils.R
+++ b/R/apex-utils.R
@@ -1273,9 +1273,44 @@ ax_nodata <- function(ax,
 
 
 
-
-
-
+#' Forecast data points
+#'
+#' @template ax-default
+#' @param count Number of ending data-points you want to indicate as a forecast or prediction values.
+#'  The ending line/bar will result into a dashed border with a distinct look to differentiate from the rest of the data-points.
+#' @param fillOpacity Opacity of the fill attribute.
+#' @param strokeWidth Sets the width of the points.
+#' @param dashArray Creates dashes in borders of svg path. Higher number creates more space between dashes in the border.
+#' @param ... Additional arguments (not used).
+#'
+#' @export
+#'
+#' @examples
+#' # add 5 predictions to data then plot it
+#' data.frame(
+#'   time = seq_len(53),
+#'   lh = c(
+#'     as.vector(lh),
+#'     as.vector(predict(arima(lh, order = c(1,0,1)), 5)$pred)
+#'   )
+#' ) %>% 
+#'   apex(aes(time, lh), type = "line") %>% 
+#'   ax_xaxis(type = "numeric") %>% 
+#'   ax_forecast_data_points(count = 5)
+ax_forecast_data_points <- function(ax,
+                                    count = NULL,
+                                    fillOpacity = NULL,
+                                    strokeWidth = NULL,
+                                    dashArray = NULL,
+                                    ...) {
+  params <- list(
+    count = count,
+    fillOpacity = fillOpacity,
+    strokeWidth = strokeWidth,
+    dashArray = dashArray
+  )
+  .ax_opt2(ax, "forecastDataPoints", l = dropNulls(params))
+}
 
 
 
diff --git a/man/ax_forecast_data_points.Rd b/man/ax_forecast_data_points.Rd
new file mode 100644
index 0000000..a5b3765
--- /dev/null
+++ b/man/ax_forecast_data_points.Rd
@@ -0,0 +1,48 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/apex-utils.R
+\name{ax_forecast_data_points}
+\alias{ax_forecast_data_points}
+\title{Forecast data points}
+\usage{
+ax_forecast_data_points(
+  ax,
+  count = NULL,
+  fillOpacity = NULL,
+  strokeWidth = NULL,
+  dashArray = NULL,
+  ...
+)
+}
+\arguments{
+\item{ax}{An \code{\link[=apexchart]{apexchart()}} \code{htmlwidget} object.}
+
+\item{count}{Number of ending data-points you want to indicate as a forecast or prediction values.
+The ending line/bar will result into a dashed border with a distinct look to differentiate from the rest of the data-points.}
+
+\item{fillOpacity}{Opacity of the fill attribute.}
+
+\item{strokeWidth}{Sets the width of the points.}
+
+\item{dashArray}{Creates dashes in borders of svg path. Higher number creates more space between dashes in the border.}
+
+\item{...}{Additional arguments (not used).}
+}
+\value{
+An \code{\link[=apexchart]{apexchart()}} \code{htmlwidget} object.
+}
+\description{
+Forecast data points
+}
+\examples{
+# add 5 predictions to data then plot it
+data.frame(
+  time = seq_len(53),
+  lh = c(
+    as.vector(lh),
+    as.vector(predict(arima(lh, order = c(1,0,1)), 5)$pred)
+  )
+) \%>\% 
+  apex(aes(time, lh), type = "line") \%>\% 
+  ax_xaxis(type = "numeric") \%>\% 
+  ax_forecast_data_points(count = 5)
+}