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Plotly.js now supports candlestick charts as a chart-type and in this post we’ll highlight how to use this feature in R. We’ll use the quantmod package to retrieve data as well as generate some technical trading signals.
Don’t forget to install the latest version of plotly from github:
devtools::install_github("ropensci/plotly")
Syntax
The syntax is straightforward:
plot_ly(x = ..., open = ..., high = ..., low = ..., close = ..., type = "candlestick")
Data
# Get data
stock <- getSymbols("MSFT", auto.assign = F)
dts <- index(stock)
df <- data.frame(stock, row.names = NULL)
df$dates <- dts
names(df) <- c("Open", "High", "Low", "Close", "Volume", "Adjusted", "dates")
# Subset to after Jan 2016
df <- subset(df, dates > "2016-01-01")
# Color or volume bars
barcols <- c()
for (i in 1:length(df$dates)) {
if (i == 1) {barcols[i] <- "#F95959"}
if (i > 1) {
x <- ifelse(df$Close[i] > df$Close[i - 1], "#455D7A", "#F95959")
barcols[i] <- x
}
}
# Moving Avg line
MA <- runMean(df$Close)
# Range selector
rangeselectorlist = list(
x = 0, y = 0.9,
bgcolor = "#0099cc",
= list(color = "white"),
buttons = list(
list(count = 1, label = "reset", step = "all"),
list(count = 1, label = "1yr", step = "year", stepmode = "backward"),
list(count = 3, label = "3 mo", step = "month", stepmode = "backward"),
list(count = 1, label = "1 mo", step = "month", stepmode = "backward"),
list(step = "all")
)
)
Base candlestick chart with volume panel
plot_ly(df, type = "candlestick",
x = ~dates,
open = ~Open, high = ~High, low = ~Low, close = ~Close,
yaxis = "y",
increasing = list(line = list(color = "#455D7A")),
decreasing = list(line = list(color = "#F95959")),
name = "Price",
height = 600, width = 1024) %>%
add_bars(data = df, x = ~dates, y = ~Volume,
marker = list(color = barcols),
yaxis = "y2", inherit = F, name = "Vol") %>%
add_lines(x = df$dates, y = MA,
line = list(width = 3, dash = "5px", color = "#33bbff"),
inherit = F, name = "Mov Avg") %>%
layout(
plot_bgcolor = "rgb(250,250,250)",
xaxis = list(title = "", domain = c(0,0.95),
rangeslider = list(visible = F),
rangeselector = rangeselectorlist),
yaxis = list(domain = c(0.22, 0.9)),
yaxis2 = list(domain = c(0, 0.18), side = "right"),
showlegend = F,
annotations = list(
list(x = 0, y = 1, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>Microsoft</b>"),
= list(size = 30, family = "serif"),
showarrow = FALSE),
list(x = 0.8, y = 0.95, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("[", paste(range(df$dates),collapse = " / "), "]"),
= list(size = 15, family = "serif"),
showarrow = FALSE),
list(x = 0, y = 0.18, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>Volume</b>"),
= list(size = 15, family = "serif"),
showarrow = FALSE)
)
)Base candlestick chart with Bollinger bands
BB <- as.data.frame(BBands(df$Close))
plot_ly(df, type = "candlestick",
x = ~dates,
open = ~Open, high = ~High, low = ~Low, close = ~Close,
yaxis = "y",
increasing = list(line = list(color = "#455D7A")),
decreasing = list(line = list(color = "#F95959")),
name = "Price",
height = 600, width = 1024) %>%
add_bars(data = df, x = ~dates, y = ~Volume,
marker = list(color = barcols),
yaxis = "y2", inherit = F, name = "Vol") %>%
# MA
add_lines(x = df$dates, y = BB$mavg,
line = list(width = 3, dash = "5px", color = "#33bbff"),
inherit = F, name = "Mov Avg") %>%
# Upper and Lower bounds
add_lines(x = df$dates, y = BB$up,
line = list(width = 1, dash = "5px", color = "#737373"),
fill = "tonexty", fillcolor = "rgba(194, 240, 240, 0.2)",
inherit = F, name = "Bollinger") %>%
add_lines(x = df$dates, y = BB$dn,
line = list(width = 1, dash = "5px", color = "#737373"),
fill = "tonexty", fillcolor = "rgba(194, 240, 240, 0.2)",
inherit = F, name = "Bollinger") %>%
layout(
plot_bgcolor = "rgb(250,250,250)",
xaxis = list(title = "", domain = c(0,0.95),
rangeslider = list(visible = F),
rangeselector = rangeselectorlist),
yaxis = list(domain = c(0.22, 0.9)),
yaxis2 = list(domain = c(0, 0.18), side = "right"),
showlegend = F,
annotations = list(
list(x = 0, y = 1, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>Microsoft</b>"),
= list(size = 30, family = "serif"),
showarrow = FALSE),
list(x = 0.8, y = 0.95, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("[", paste(range(df$dates),collapse = " / "), "]"),
= list(size = 15, family = "serif"),
showarrow = FALSE),
list(x = 0, y = 0.18, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>Volume</b>"),
= list(size = 15, family = "serif"),
showarrow = FALSE)
)
)Base candlestick chart with Chaikin Money Flow
CKD <- CMF(df[,c("High", "Low", "Close")], volume = df$Volume)
CKD.pos <- CKD
CKD.pos[CKD.pos < 0] <- 0
CKD.neg <- CKD
CKD.neg[CKD.neg > 0] <- 0
plot_ly(df, type = "candlestick",
x = ~dates,
open = ~Open, high = ~High, low = ~Low, close = ~Close,
yaxis = "y",
increasing = list(line = list(color = "#455D7A")),
decreasing = list(line = list(color = "#F95959")),
name = "Price",
height = 600, width = 1024) %>%
# MA
add_lines(x = df$dates, y = BB$mavg,
line = list(width = 3, dash = "5px", color = "#33bbff"),
inherit = F, name = "Mov Avg") %>%
# CKD
add_lines(x = df$dates, y = CKD.pos,
yaxis = "y2",
line = list(width = 1, color = "black"),
fill = "tozeroy", fillcolor = "#47d147",
inherit = FALSE) %>%
add_lines(x = df$dates, y = CKD.neg,
yaxis = "y2",
line = list(width = 1, color = "black"),
fill = "tozeroy", fillcolor = "#ff6666",
inherit = FALSE) %>%
layout(
plot_bgcolor = "rgb(250,250,250)",
xaxis = list(title = "", domain = c(0,0.95),
rangeslider = list(visible = F),
rangeselector = rangeselectorlist),
yaxis = list(domain = c(0.22, 0.9)),
yaxis2 = list(domain = c(0, 0.18), side = "right"),
showlegend = F,
annotations = list(
list(x = 0, y = 1, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>Microsoft</b>"),
= list(size = 30, family = "serif"),
showarrow = FALSE),
list(x = 0.8, y = 0.95, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("[", paste(range(df$dates),collapse = " / "), "]"),
= list(size = 15, family = "serif"),
showarrow = FALSE),
list(x = 0, y = 0.18, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>Chaikin Money Flow</b>"),
= list(size = 15, family = "serif"),
showarrow = FALSE)
)
)Base candlestick chart with MACD
macd <- data.frame(TTR::MACD(df$Close, 12, 26, 9))
macd$diff <- macd$macd - macd$signal
plot_ly(df, type = "candlestick",
x = ~dates,
open = ~Open, high = ~High, low = ~Low, close = ~Close,
yaxis = "y",
increasing = list(line = list(color = "#455D7A")),
decreasing = list(line = list(color = "#F95959")),
name = "Price",
height = 600, width = 1024) %>%
# MA
add_lines(x = df$dates, y = BB$mavg,
line = list(width = 3, dash = "5px", color = "#33bbff"),
inherit = F, name = "Mov Avg") %>%
# MACD
add_lines(x = df$dates, y = macd$macd,
yaxis = "y2",
line = list(width = 1, color = "#8c8c8c"),
inherit = FALSE) %>%
add_lines(x = df$dates, y = macd$signal,
yaxis = "y2",
line = list(width = 1, color = "#ff6666"),
inherit = FALSE) %>%
add_bars(x = df$dates, y = macd$diff,
marker = list(color = "#bfbfbf"),
yaxis = "y2",
inherit = FALSE) %>%
layout(
plot_bgcolor = "rgb(250,250,250)",
xaxis = list(title = "", domain = c(0,0.95),
rangeslider = list(visible = F),
rangeselector = rangeselectorlist),
yaxis = list(domain = c(0.22, 0.9)),
yaxis2 = list(domain = c(0, 0.18), side = "right"),
showlegend = F,
annotations = list(
list(x = 0, y = 1, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>Microsoft</b>"),
= list(size = 30, family = "serif"),
showarrow = FALSE),
list(x = 0.8, y = 0.95, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("[", paste(range(df$dates),collapse = " / "), "]"),
= list(size = 15, family = "serif"),
showarrow = FALSE),
list(x = 0, y = 0.18, xanchor = "left", yanchor = "top",
xref = "paper", yref = "paper",
text = paste0("<b>MACD (12, 26, 9)</b>"),
= list(size = 15, family = "serif"),
showarrow = FALSE)
)
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