The acceleration_bands() is a generic S3 function that builds upon 'type-safe'-esque workflows limited to classes in in base R, and the package-wide
dependencies. Ie. class in, class out. Each method is a soft wrapper of model.frame and therefore the OHLC-V series must be coercible to a data.frame.
Arguments
- x
An OHLC-V series that is coercible to data.frame.
- cols
(formula). An optional
3variable formula passed into model.frame. Internally uses~high + low + closeby default.- n
- ...
Additional parameters passed into model.frame
See also
Other Overlap Study:
bollinger_bands(),
double_exponential_moving_average(),
exponential_moving_average(),
extended_parabolic_stop_and_reverse(),
kaufman_adaptive_moving_average(),
mesa_adaptive_moving_average(),
parabolic_stop_and_reverse(),
simple_moving_average(),
t3_exponential_moving_average(),
trendline(),
triangular_moving_average(),
triple_exponential_moving_average(),
weighted_moving_average()
Examples
## load Bitcoin (BTC)
## series
data(BTC, package = "talib")
## calculate the indicator
## for Bitcoin (BTC)
output <- talib::acceleration_bands(BTC)
## display the results
utils::tail(output)
#> UpperBand MiddleBand LowerBand
#> 2024-12-26 01:00:00 110264.9 98217.88 87213.56
#> 2024-12-27 01:00:00 109387.1 97020.16 85808.60
#> 2024-12-28 01:00:00 107244.3 96516.01 86184.86
#> 2024-12-29 01:00:00 105457.8 96134.41 86850.78
#> 2024-12-30 01:00:00 104630.5 95620.42 87225.80
#> 2024-12-31 01:00:00 104522.1 95236.42 86566.28
## visualize the indicator
## with talib::chart()
##
## see ?talib::chart or ?talib::indicator
## for more details
{
## chart OHLC-V
## series with talib::chart()
talib::chart(BTC)
## chart indicator
## with default values
talib::indicator(
talib::acceleration_bands
)
}
