OHLC Charts in ggplot2

How to make OHLC Charts in ggplot2 with Plotly.

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Default plot

library(plotly)
library(ggplot2)
library(quantmod)

FOSL <- getSymbols("FOSL", from="2015-01-01", auto.assign=FALSE)
names(FOSL) <- gsub("^.+\\.","",names(FOSL))

rng <- "2015-08"
FOSL <- FOSL[rng]
FOSL <- data.frame(Date=as.POSIXct(index(FOSL)), FOSL[,1:4])

FOSL$chg <- ifelse(Cl(FOSL) > Op(FOSL), "up", "dn")
FOSL$width <- as.numeric(periodicity(FOSL)[1])

p <- ggplot(data=FOSL, aes(x=Date, colour = chg)) +
  theme_bw() +
  geom_linerange(aes(ymin=Low, ymax=High)) +
  geom_segment(aes(y = Open, yend = Open, xend = Date - width / 2 )) +
  geom_segment(aes(y = Close, yend = Close, xend = Date + width / 2)) +
  scale_colour_manual(values = c("dn" = "darkred", "up" = "darkgreen")) + guides(colour = FALSE)


ggplotly(p)

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)