bollinger_bands {cryptoQuotes} | R Documentation |
Add Bollinger Bands to the chart
Description
Bollinger Bands provide a visual representation of price volatility and are widely used by traders and investors to assess potential price reversals and trade opportunities in various financial markets, including stocks, forex, and commodities.
Usage
bollinger_bands(n = 20, sd = 2, maType = "SMA", internal = list(), ...)
Arguments
n |
Number of periods for moving average. |
sd |
The number of standard deviations to use. |
maType |
A function or a string naming the function to be called. |
internal |
An empty list. Used for internal purposes. Ignore. |
... |
Other arguments to be passed to the |
Value
Invisbly returns a plotly object.
See Also
Other chart indicators:
add_event()
,
alma()
,
chart()
,
dema()
,
ema()
,
evwma()
,
fgi()
,
hma()
,
lsr()
,
macd()
,
rsi()
,
sma()
,
volume()
,
vwap()
,
wma()
,
zlema()
Examples
# script: scr_charting
# date: 2023-10-25
# author: Serkan Korkmaz, serkor1@duck.com
# objective: Charting in general
# script start;
## charting the klines
## with indicators as
## subcharts
chart(
ticker = BTC,
main = kline(),
sub = list(
volume(),
macd()
),
indicator = list(
bollinger_bands(),
sma(),
alma()
),
options = list(
dark = TRUE,
deficiency = FALSE
)
)
## charting the MACD-indicator
## with klines as subcharts
chart(
ticker = BTC,
main = macd(),
sub = list(
volume(),
kline()
),
indicator = list(
bollinger_bands(),
sma()
),
options = list(
dark = TRUE,
deficiency = FALSE
)
)
# script end;
[Package cryptoQuotes version 1.3.0 Index]