Financial charts provide visual cues to open, high, low, and close prices.
Use coord_x_date()
to zoom into specific plot regions.
The following financial chart geoms are available:
geom_barchart(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = TRUE,
show.legend = NA,
inherit.aes = TRUE,
colour_up = "darkblue",
colour_down = "red",
fill_up = "darkblue",
fill_down = "red",
...
)
geom_candlestick(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = TRUE,
show.legend = NA,
inherit.aes = TRUE,
colour_up = "darkblue",
colour_down = "red",
fill_up = "darkblue",
fill_down = "red",
...
)
Set of aesthetic mappings created by ggplot2::aes()
or
ggplot2::aes_()
. If specified and inherit.aes = TRUE
(the
default), it is combined with the default mapping at the top level of the
plot. You must supply mapping
if there is no plot mapping.
The data to be displayed in this layer. There are three options:
If NULL
, the default, the data is inherited from the plot
data as specified in the call to ggplot2::ggplot()
.
A data.frame
, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
ggplot2::fortify()
for which variables will be created.
A function
will be called with a single argument,
the plot data. The return value must be a data.frame.
, and
will be used as the layer data.
The statistical transformation to use on the data for this layer, as a string.
Position adjustment, either as a string, or the result of a call to a position adjustment function.
If TRUE
, silently removes NA
values, which
typically desired for moving averages.
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
If FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. ggplot2::borders()
.
Select colors to be applied based on price movement
from open to close. If close >= open, colour_up
is used. Otherwise,
colour_down
is used. The default is "darkblue" and "red", respectively.
Select fills to be applied based on price movement
from open to close. If close >= open, fill_up
is used. Otherwise,
fill_down
is used. The default is "darkblue" and "red", respectively.
Only affects geom_candlestick
.
Other arguments passed on to ggplot2::layer()
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
color = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
The following aesthetics are understood (required are in bold):
x
, Typically a date
open
, Required to be the open price
high
, Required to be the high price
low
, Required to be the low price
close
, Required to be the close price
alpha
group
linetype
size
See individual modeling functions for underlying parameters:
geom_ma()
for adding moving averages to ggplots
geom_bbands()
for adding Bollinger Bands to ggplots
coord_x_date()
for zooming into specific regions of a plot
# Load libraries
library(tidyquant)
library(dplyr)
library(ggplot2)
AAPL <- tq_get("AAPL", from = "2013-01-01", to = "2016-12-31")
# Bar Chart
AAPL %>%
ggplot(aes(x = date, y = close)) +
geom_barchart(aes(open = open, high = high, low = low, close = close)) +
geom_ma(color = "darkgreen") +
coord_x_date(xlim = c("2016-01-01", "2016-12-31"),
ylim = c(75, 125))
# Candlestick Chart
AAPL %>%
ggplot(aes(x = date, y = close)) +
geom_candlestick(aes(open = open, high = high, low = low, close = close)) +
geom_ma(color = "darkgreen") +
coord_x_date(xlim = c("2016-01-01", "2016-12-31"),
ylim = c(75, 125))