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The fast_stochastic() 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.

Usage

fast_stochastic(x, cols, fastk = 5, fastd = SMA(n = 10), ...)

Arguments

x

An OHLC-V series that is coercible to data.frame.

cols

(formula). An optional 3 variable formula passed into model.frame. Internally uses ~high + low + close by default.

fastk

(integer). Period for the fast-k line.

fastd

(list). Period and Moving Average (MA) type for the fast-d line. SMA by default.

...

Additional parameters passed into model.frame

Value

An object of same class and length of x:

FastK

double

FastD

double

Author

Serkan Korkmaz

Examples

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

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

## display the results
utils::tail(output)
#>                        FastK    FastD
#> 2024-12-26 01:00:00 43.96358 43.41195
#> 2024-12-27 01:00:00 23.85964 38.22778
#> 2024-12-28 01:00:00 27.44472 40.68228
#> 2024-12-29 01:00:00 10.38875 40.26691
#> 2024-12-30 01:00:00 15.37938 38.33132
#> 2024-12-31 01:00:00 34.23215 38.61201

## 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::fast_stochastic
 )
}