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# Candlestick Charts in R

How to create candlestick charts in R.

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New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

### Basic Candlestick

library(plotly)
library(quantmod)

getSymbols("AAPL",src='yahoo')

##  "AAPL"

# basic example of ohlc charts
df <- data.frame(Date=index(AAPL),coredata(AAPL))
df <- tail(df, 30)

fig <- df %>% plot_ly(x = ~Date, type="candlestick",
open = ~AAPL.Open, close = ~AAPL.Close,
high = ~AAPL.High, low = ~AAPL.Low)
fig <- fig %>% layout(title = "Basic Candlestick Chart")

fig


### Candlestick without Rangeslider

library(plotly)
library(quantmod)

getSymbols("AAPL",src='yahoo')

##  "AAPL"

df <- data.frame(Date=index(AAPL),coredata(AAPL))
df <- tail(df, 30)

fig <- df %>% plot_ly(x = ~Date, type="candlestick",
open = ~AAPL.Open, close = ~AAPL.Close,
high = ~AAPL.High, low = ~AAPL.Low)
fig <- fig %>% layout(title = "Basic Candlestick Chart",
xaxis = list(rangeslider = list(visible = F)))

fig


### Customise the fig ure with Shapes and Annotations

library(plotly)
library(quantmod)

getSymbols("AAPL",src='yahoo')

##  "AAPL"

df <- data.frame(Date=index(AAPL),coredata(AAPL))

# annotation
a <- list(text = "Stock Split",
x = '2014-06-06',
y = 1.02,
xref = 'x',
yref = 'paper',
xanchor = 'left',
showarrow = FALSE
)

# use shapes to create a line
l <- list(type = line,
x0 = '2014-06-06',
x1 = '2014-06-06',
y0 = 0,
y1 = 1,
xref = 'x',
yref = 'paper',
line = list(color = 'black',
width = 0.5)
)

fig <- df %>% plot_ly(x = ~Date, type="candlestick",
open = ~AAPL.Open, close = ~AAPL.Close,
high = ~AAPL.High, low = ~AAPL.Low)
fig <- fig %>% layout(title = "Apple Stock",
annotations = a,
shapes = l)

fig


### Custom Candlestick Colors

library(plotly)
library(quantmod)

getSymbols("AAPL",src='yahoo')

##  "AAPL"

# basic example of ohlc charts
df <- data.frame(Date=index(AAPL),coredata(AAPL))
df <- tail(df, 30)

# cutom colors
i <- list(line = list(color = '#FFD700'))
d <- list(line = list(color = '#0000ff'))

fig <- df %>% plot_ly(x = ~Date, type="candlestick",
open = ~AAPL.Open, close = ~AAPL.Close,
high = ~AAPL.High, low = ~AAPL.Low,
increasing = i, decreasing = d)

fig


### Add a Trace to Candlestick Chart

library(plotly)
library(quantmod)

getSymbols("AAPL",src='yahoo')

##  "AAPL"

df <- data.frame(Date=index(AAPL),coredata(AAPL))
df <- tail(df, 365)

fig <- df %>% plot_ly(x = ~Date, type="candlestick",
open = ~AAPL.Open, close = ~AAPL.Close,
high = ~AAPL.High, low = ~AAPL.Low)
fig <- fig %>% add_lines(x = ~Date, y = ~AAPL.Open, line = list(color = 'black', width = 0.75), inherit = F)
fig <- fig %>% layout(showlegend = FALSE)

fig


### Candlestick Using Segments

library(plotly)
library(quantmod)

msft <- getSymbols("MSFT", auto.assign = F)
dat <- as.data.frame(msft)
} else {
df$direction[i] = 'Decreasing' } } i <- list(line = list(color = '#17BECF')) d <- list(line = list(color = '#7F7F7F')) # plot candlestick chart fig <- df %>% plot_ly(x = ~Date, type="candlestick", open = ~AAPL.Open, close = ~AAPL.Close, high = ~AAPL.High, low = ~AAPL.Low, name = "AAPL", increasing = i, decreasing = d) fig <- fig %>% add_lines(x = ~Date, y = ~up , name = "B Bands", line = list(color = '#ccc', width = 0.5), legendgroup = "Bollinger Bands", hoverinfo = "none", inherit = F) fig <- fig %>% add_lines(x = ~Date, y = ~dn, name = "B Bands", line = list(color = '#ccc', width = 0.5), legendgroup = "Bollinger Bands", inherit = F, showlegend = FALSE, hoverinfo = "none") fig <- fig %>% add_lines(x = ~Date, y = ~mavg, name = "Mv Avg", line = list(color = '#E377C2', width = 0.5), hoverinfo = "none", inherit = F) fig <- fig %>% layout(yaxis = list(title = "Price")) # plot volume bar chart fig2 <- df fig2 <- fig2 %>% plot_ly(x=~Date, y=~AAPL.Volume, type='bar', name = "AAPL Volume", color = ~direction, colors = c('#17BECF','#7F7F7F')) fig2 <- fig2 %>% layout(yaxis = list(title = "Volume")) # create rangeselector buttons rs <- list(visible = TRUE, x = 0.5, y = -0.055, xanchor = 'center', yref = 'paper', font = list(size = 9), buttons = list( list(count=1, label='RESET', step='all'), list(count=1, label='1 YR', step='year', stepmode='backward'), list(count=3, label='3 MO', step='month', stepmode='backward'), list(count=1, label='1 MO', step='month', stepmode='backward') )) # subplot with shared x axis fig <- subplot(fig, fig2, heights = c(0.7,0.2), nrows=2, shareX = TRUE, titleY = TRUE) fig <- fig %>% layout(title = paste("Apple: 2015-02-14 -",Sys.Date()), xaxis = list(rangeselector = rs), legend = list(orientation = 'h', x = 0.5, y = 1, xanchor = 'center', yref = 'paper', font = list(size = 10), bgcolor = 'transparent')) fig  # Reference See https://plotly.com/r/reference for more information and chart attribute options! ### 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) 