Double Exponential Moving Average

The double_exponential_moving_average() 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.

double_exponential_moving_average() also accepts a double vector in which case the indicator is calculated 'as-is' without passing through model.frame. double_exponential_moving_average() returns an n by k matrix computed in C by default. When k = 1, the result is simplified to a double vector; for k > 1, the full n by k matrix is returned.

Usage

double_exponential_moving_average(x, cols, n = 10, ...)

Arguments

x

An OHLC-V series that is coercible to data.frame. Alternatively, x may also be supplied as a double vector.

cols

(formula). An optional 1 variable formula passed into model.frame. Internally uses ~close by default.

n

(integer). An integer of length 1.

...

Additional parameters passed into model.frame

Value

An object of same class and length of x:

DEMA

double

Details

When passed without 'x', double_exponential_moving_average functions as an 'Moving Average'-specification which is used in, for example, stochastic when constructing the smoothing lines.

When called without 'x' it will return a named list which is used for the indicators that supports various Moving Average specifications.

See also

Other Overlap Study: acceleration_bands(), bollinger_bands(), 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()

Author

Serkan Korkmaz

Examples

## load Bitcoin (BTC)
## series
data(BTC, package = "talib")

## calculate the indicator
## for Bitcoin (BTC)
output <- talib::double_exponential_moving_average(BTC)

## display the results
utils::tail(output)
#>                         DEMA
#> 2024-12-26 01:00:00 96950.49
#> 2024-12-27 01:00:00 95875.22
#> 2024-12-28 01:00:00 95414.00
#> 2024-12-29 01:00:00 94580.93
#> 2024-12-30 01:00:00 93680.22
#> 2024-12-31 01:00:00 93294.58

## 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::double_exponential_moving_average
 )
}