trend_cycle_mode() is a generic S3 function that preserves
the input class: data.frame in, data.frame out; matrix in,
matrix out.
trend_cycle_mode() also accepts a double vector, in which case the indicator is calculated directly without column selection. When the result has a single column it is simplified to a double vector; otherwise the full n by k matrix is returned.
Handling of -values
Leading NAs are always produced for the initial lookback period
where insufficient data is available. If the input itself contains
NAs they are passed through to the underlying C routine, which
can cause the entire output to be filled with NAs. Set
na.ignore = TRUE to strip NAs before calculation and
re-insert them at their original positions in the output.
Arguments
- x
An OHLC-V series coercible to data.frame. Alternatively,
xmay also be supplied as a double vector.- cols
(formula). An optional
1-variable formula selecting columns fromxvia model.frame. Defaults to~close.- na.ignore
(logical). A logical of length 1. FALSE by default. If TRUE,
NAs in the input are stripped before calculation and re-inserted at their original positions in the output.- ...
Additional parameters passed into model.frame
See also
Other Cycle Indicator:
dominant_cycle_period(),
dominant_cycle_phase(),
phasor_components(),
sine_wave()
Examples
## load Bitcoin (BTC)
## series
data(BTC, package = "talib")
## calculate the indicator
## for Bitcoin (BTC)
output <- talib::trend_cycle_mode(BTC)
## display the results
utils::tail(output)
#> HT_TRENDMODE
#> 2024-12-26 01:00:00 1
#> 2024-12-27 01:00:00 1
#> 2024-12-28 01:00:00 1
#> 2024-12-29 01:00:00 1
#> 2024-12-30 01:00:00 1
#> 2024-12-31 01:00:00 1
## 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::trend_cycle_mode
)
}
