Files
wickra/bindings/r/R/indicators.R
T
kingchenc fd9f4c8bc6 feat(bindings): expose name() on every indicator in all 10 languages (#308)
* feat(bindings): expose name() on every indicator in Node, WASM, and Python

Surface the core Indicator::name() / BarBuilder::name() accessor through the
three native bindings so every indicator reports its canonical name at runtime,
matching the existing reset/isReady/warmupPeriod surface.

- Node (napi): name(): string on all 514 classes (regenerated index.d.ts)
- WASM (wasm-bindgen): name(): string on all 514 classes
- Python (pyo3): name() -> str on all classes

* feat(bindings): expose name() across the C ABI and C/C++/Go/C#/Java/R

Regenerate the C ABI and the four generated language bindings from the updated
ScriptHelpers generators so every indicator and bar builder reports its
canonical name at runtime, completing name() coverage across all 10 languages.

- C ABI (bindings/c): wickra_<ind>_name() -> *const c_char for all 514, cached
  in a per-function OnceLock<CString> with ind.name() as the source of truth;
  cbindgen header regenerated and vendored into bindings/go/include.
- Go: Name() string; C#: string Name(); Java: String name(); R: name() S3
  generic over the wk_<ind>_name C glue (methods.R + NAMESPACE).

The Java regeneration also restores two fixes that had drifted out of the
generator (bool* arrays via boolSegment; uint8_t ctor args cast to byte) and C#
re-emits '#nullable enable'; these are no-op vs the previous committed output
apart from the new name() accessors.

* test(golden): pin canonical name() across all 10 language bindings

Add a cross-language name() consistency check: every indicator must report the
exact core Indicator::name() (which can differ from the registered class name,
e.g. ChaikinMoneyFlow -> "CMF", Donchian -> "DonchianChannels"). The 514 core
names are committed as testdata/golden/names.json (keyed by Rust canonical) and
asserted by each binding's golden replay, which already reconstructs the whole
catalogue:

- node / wasm: assert against names.json in the existing golden test
- python: new test_golden_names.py over the shared node manifest
- go / csharp / java / c+c++ / r: the golden-test generators load names.json and
  emit a name assertion per indicator (regenerated test artifacts committed)

All 10 bindings return identical names by construction (each delegates to core),
so this pins that contract and guards against a future binding breaking the
passthrough.

* docs(changelog): record name() across all 10 bindings under Unreleased

* fix(r): restore bool* flag marshalling in the regenerated C glue

The name() regeneration had reverted the cross-section bool fix: the R glue
emitted (bool *)REAL(x) for const bool* inputs, reinterpreting 8-byte doubles as
1-byte bools so every flag read as false (PercentAboveMa, NewHighsNewLows,
HighLowIndex, BullishPercentIndex returned 0 instead of the breadth value). The
wk_bool_vec() helper is restored in the generator and the glue routes bool arrays
through it again.
2026-06-15 17:19:24 +02:00

4122 lines
109 KiB
R

# Generated from bindings/c/include/wickra.h. DO NOT EDIT.
# Internal: build an S3 wickra_indicator object holding the external
# pointer (handle, auto-freed by a C finalizer) and the C-symbol prefix.
.wk_obj <- function(prefix, ptr, cls, values_cap = NA_integer_) {
structure(list(ptr = ptr, prefix = prefix, values_cap = values_cap),
class = c(cls, "wickra_indicator"))
}
#' AbandonedBaby indicator
#' @keywords internal
#' @export
AbandonedBaby <- function() {
ptr <- .Call("wk_abandoned_baby_new", PACKAGE = "wickra")
.wk_obj("abandoned_baby", ptr, "AbandonedBaby")
}
#' Abcd indicator
#' @keywords internal
#' @export
Abcd <- function() {
ptr <- .Call("wk_abcd_new", PACKAGE = "wickra")
.wk_obj("abcd", ptr, "Abcd")
}
#' AbsoluteBreadthIndex indicator
#' @keywords internal
#' @export
AbsoluteBreadthIndex <- function() {
ptr <- .Call("wk_absolute_breadth_index_new", PACKAGE = "wickra")
.wk_obj("absolute_breadth_index", ptr, "AbsoluteBreadthIndex")
}
#' AccelerationBands indicator
#' @keywords internal
#' @export
AccelerationBands <- function(period, factor) {
ptr <- .Call("wk_acceleration_bands_new", period, factor, PACKAGE = "wickra")
.wk_obj("acceleration_bands", ptr, "AccelerationBands")
}
#' AcceleratorOscillator indicator
#' @keywords internal
#' @export
AcceleratorOscillator <- function(ao_fast, ao_slow, signal_period) {
ptr <- .Call("wk_accelerator_oscillator_new", ao_fast, ao_slow, signal_period, PACKAGE = "wickra")
.wk_obj("accelerator_oscillator", ptr, "AcceleratorOscillator")
}
#' AdOscillator indicator
#' @keywords internal
#' @export
AdOscillator <- function() {
ptr <- .Call("wk_ad_oscillator_new", PACKAGE = "wickra")
.wk_obj("ad_oscillator", ptr, "AdOscillator")
}
#' AdVolumeLine indicator
#' @keywords internal
#' @export
AdVolumeLine <- function() {
ptr <- .Call("wk_ad_volume_line_new", PACKAGE = "wickra")
.wk_obj("ad_volume_line", ptr, "AdVolumeLine")
}
#' AdaptiveCci indicator
#' @keywords internal
#' @export
AdaptiveCci <- function(period) {
ptr <- .Call("wk_adaptive_cci_new", period, PACKAGE = "wickra")
.wk_obj("adaptive_cci", ptr, "AdaptiveCci")
}
#' AdaptiveCycle indicator
#' @keywords internal
#' @export
AdaptiveCycle <- function() {
ptr <- .Call("wk_adaptive_cycle_new", PACKAGE = "wickra")
.wk_obj("adaptive_cycle", ptr, "AdaptiveCycle")
}
#' AdaptiveLaguerreFilter indicator
#' @keywords internal
#' @export
AdaptiveLaguerreFilter <- function(period) {
ptr <- .Call("wk_adaptive_laguerre_filter_new", period, PACKAGE = "wickra")
.wk_obj("adaptive_laguerre_filter", ptr, "AdaptiveLaguerreFilter")
}
#' AdaptiveRsi indicator
#' @keywords internal
#' @export
AdaptiveRsi <- function(period) {
ptr <- .Call("wk_adaptive_rsi_new", period, PACKAGE = "wickra")
.wk_obj("adaptive_rsi", ptr, "AdaptiveRsi")
}
#' Adl indicator
#' @keywords internal
#' @export
Adl <- function() {
ptr <- .Call("wk_adl_new", PACKAGE = "wickra")
.wk_obj("adl", ptr, "Adl")
}
#' AdvanceBlock indicator
#' @keywords internal
#' @export
AdvanceBlock <- function() {
ptr <- .Call("wk_advance_block_new", PACKAGE = "wickra")
.wk_obj("advance_block", ptr, "AdvanceBlock")
}
#' AdvanceDecline indicator
#' @keywords internal
#' @export
AdvanceDecline <- function() {
ptr <- .Call("wk_advance_decline_new", PACKAGE = "wickra")
.wk_obj("advance_decline", ptr, "AdvanceDecline")
}
#' AdvanceDeclineRatio indicator
#' @keywords internal
#' @export
AdvanceDeclineRatio <- function() {
ptr <- .Call("wk_advance_decline_ratio_new", PACKAGE = "wickra")
.wk_obj("advance_decline_ratio", ptr, "AdvanceDeclineRatio")
}
#' Adx indicator
#' @keywords internal
#' @export
Adx <- function(period) {
ptr <- .Call("wk_adx_new", period, PACKAGE = "wickra")
.wk_obj("adx", ptr, "Adx")
}
#' Adxr indicator
#' @keywords internal
#' @export
Adxr <- function(period) {
ptr <- .Call("wk_adxr_new", period, PACKAGE = "wickra")
.wk_obj("adxr", ptr, "Adxr")
}
#' Alligator indicator
#' @keywords internal
#' @export
Alligator <- function(jaw_period, teeth_period, lips_period) {
ptr <- .Call("wk_alligator_new", jaw_period, teeth_period, lips_period, PACKAGE = "wickra")
.wk_obj("alligator", ptr, "Alligator")
}
#' Alma indicator
#' @keywords internal
#' @export
Alma <- function(period, offset, sigma) {
ptr <- .Call("wk_alma_new", period, offset, sigma, PACKAGE = "wickra")
.wk_obj("alma", ptr, "Alma")
}
#' Alpha indicator
#' @keywords internal
#' @export
Alpha <- function(period, risk_free) {
ptr <- .Call("wk_alpha_new", period, risk_free, PACKAGE = "wickra")
.wk_obj("alpha", ptr, "Alpha")
}
#' AmihudIlliquidity indicator
#' @keywords internal
#' @export
AmihudIlliquidity <- function(period) {
ptr <- .Call("wk_amihud_illiquidity_new", period, PACKAGE = "wickra")
.wk_obj("amihud_illiquidity", ptr, "AmihudIlliquidity")
}
#' AnchoredRsi indicator
#' @keywords internal
#' @export
AnchoredRsi <- function() {
ptr <- .Call("wk_anchored_rsi_new", PACKAGE = "wickra")
.wk_obj("anchored_rsi", ptr, "AnchoredRsi")
}
#' AnchoredVwap indicator
#' @keywords internal
#' @export
AnchoredVwap <- function() {
ptr <- .Call("wk_anchored_vwap_new", PACKAGE = "wickra")
.wk_obj("anchored_vwap", ptr, "AnchoredVwap")
}
#' AndrewsPitchfork indicator
#' @keywords internal
#' @export
AndrewsPitchfork <- function(strength) {
ptr <- .Call("wk_andrews_pitchfork_new", strength, PACKAGE = "wickra")
.wk_obj("andrews_pitchfork", ptr, "AndrewsPitchfork")
}
#' Apo indicator
#' @keywords internal
#' @export
Apo <- function(fast, slow) {
ptr <- .Call("wk_apo_new", fast, slow, PACKAGE = "wickra")
.wk_obj("apo", ptr, "Apo")
}
#' Aroon indicator
#' @keywords internal
#' @export
Aroon <- function(period) {
ptr <- .Call("wk_aroon_new", period, PACKAGE = "wickra")
.wk_obj("aroon", ptr, "Aroon")
}
#' AroonOscillator indicator
#' @keywords internal
#' @export
AroonOscillator <- function(period) {
ptr <- .Call("wk_aroon_oscillator_new", period, PACKAGE = "wickra")
.wk_obj("aroon_oscillator", ptr, "AroonOscillator")
}
#' Atr indicator
#' @keywords internal
#' @export
Atr <- function(period) {
ptr <- .Call("wk_atr_new", period, PACKAGE = "wickra")
.wk_obj("atr", ptr, "Atr")
}
#' AtrBands indicator
#' @keywords internal
#' @export
AtrBands <- function(period, multiplier) {
ptr <- .Call("wk_atr_bands_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("atr_bands", ptr, "AtrBands")
}
#' AtrRatchet indicator
#' @keywords internal
#' @export
AtrRatchet <- function(atr_period, start_mult, increment) {
ptr <- .Call("wk_atr_ratchet_new", atr_period, start_mult, increment, PACKAGE = "wickra")
.wk_obj("atr_ratchet", ptr, "AtrRatchet")
}
#' AtrTrailingStop indicator
#' @keywords internal
#' @export
AtrTrailingStop <- function(atr_period, multiplier) {
ptr <- .Call("wk_atr_trailing_stop_new", atr_period, multiplier, PACKAGE = "wickra")
.wk_obj("atr_trailing_stop", ptr, "AtrTrailingStop")
}
#' AutoFib indicator
#' @keywords internal
#' @export
AutoFib <- function() {
ptr <- .Call("wk_auto_fib_new", PACKAGE = "wickra")
.wk_obj("auto_fib", ptr, "AutoFib")
}
#' Autocorrelation indicator
#' @keywords internal
#' @export
Autocorrelation <- function(period, lag) {
ptr <- .Call("wk_autocorrelation_new", period, lag, PACKAGE = "wickra")
.wk_obj("autocorrelation", ptr, "Autocorrelation")
}
#' AutocorrelationPeriodogram indicator
#' @keywords internal
#' @export
AutocorrelationPeriodogram <- function(min_period, max_period) {
ptr <- .Call("wk_autocorrelation_periodogram_new", min_period, max_period, PACKAGE = "wickra")
.wk_obj("autocorrelation_periodogram", ptr, "AutocorrelationPeriodogram")
}
#' AverageDailyRange indicator
#' @keywords internal
#' @export
AverageDailyRange <- function(period, utc_offset_minutes) {
ptr <- .Call("wk_average_daily_range_new", period, utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("average_daily_range", ptr, "AverageDailyRange")
}
#' AverageDrawdown indicator
#' @keywords internal
#' @export
AverageDrawdown <- function(period) {
ptr <- .Call("wk_average_drawdown_new", period, PACKAGE = "wickra")
.wk_obj("average_drawdown", ptr, "AverageDrawdown")
}
#' AvgPrice indicator
#' @keywords internal
#' @export
AvgPrice <- function() {
ptr <- .Call("wk_avg_price_new", PACKAGE = "wickra")
.wk_obj("avg_price", ptr, "AvgPrice")
}
#' AwesomeOscillator indicator
#' @keywords internal
#' @export
AwesomeOscillator <- function(fast, slow) {
ptr <- .Call("wk_awesome_oscillator_new", fast, slow, PACKAGE = "wickra")
.wk_obj("awesome_oscillator", ptr, "AwesomeOscillator")
}
#' AwesomeOscillatorHistogram indicator
#' @keywords internal
#' @export
AwesomeOscillatorHistogram <- function(fast, slow, lookback) {
ptr <- .Call("wk_awesome_oscillator_histogram_new", fast, slow, lookback, PACKAGE = "wickra")
.wk_obj("awesome_oscillator_histogram", ptr, "AwesomeOscillatorHistogram")
}
#' BalanceOfPower indicator
#' @keywords internal
#' @export
BalanceOfPower <- function() {
ptr <- .Call("wk_balance_of_power_new", PACKAGE = "wickra")
.wk_obj("balance_of_power", ptr, "BalanceOfPower")
}
#' BandpassFilter indicator
#' @keywords internal
#' @export
BandpassFilter <- function(period, bandwidth) {
ptr <- .Call("wk_bandpass_filter_new", period, bandwidth, PACKAGE = "wickra")
.wk_obj("bandpass_filter", ptr, "BandpassFilter")
}
#' Bat indicator
#' @keywords internal
#' @export
Bat <- function() {
ptr <- .Call("wk_bat_new", PACKAGE = "wickra")
.wk_obj("bat", ptr, "Bat")
}
#' BeltHold indicator
#' @keywords internal
#' @export
BeltHold <- function() {
ptr <- .Call("wk_belt_hold_new", PACKAGE = "wickra")
.wk_obj("belt_hold", ptr, "BeltHold")
}
#' Beta indicator
#' @keywords internal
#' @export
Beta <- function(period) {
ptr <- .Call("wk_beta_new", period, PACKAGE = "wickra")
.wk_obj("beta", ptr, "Beta")
}
#' BetaNeutralSpread indicator
#' @keywords internal
#' @export
BetaNeutralSpread <- function(period) {
ptr <- .Call("wk_beta_neutral_spread_new", period, PACKAGE = "wickra")
.wk_obj("beta_neutral_spread", ptr, "BetaNeutralSpread")
}
#' BetterVolume indicator
#' @keywords internal
#' @export
BetterVolume <- function(period) {
ptr <- .Call("wk_better_volume_new", period, PACKAGE = "wickra")
.wk_obj("better_volume", ptr, "BetterVolume")
}
#' BipowerVariation indicator
#' @keywords internal
#' @export
BipowerVariation <- function(period) {
ptr <- .Call("wk_bipower_variation_new", period, PACKAGE = "wickra")
.wk_obj("bipower_variation", ptr, "BipowerVariation")
}
#' BodySizePct indicator
#' @keywords internal
#' @export
BodySizePct <- function() {
ptr <- .Call("wk_body_size_pct_new", PACKAGE = "wickra")
.wk_obj("body_size_pct", ptr, "BodySizePct")
}
#' BollingerBands indicator
#' @keywords internal
#' @export
BollingerBands <- function(period, multiplier) {
ptr <- .Call("wk_bollinger_bands_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("bollinger_bands", ptr, "BollingerBands")
}
#' BollingerBandwidth indicator
#' @keywords internal
#' @export
BollingerBandwidth <- function(period, multiplier) {
ptr <- .Call("wk_bollinger_bandwidth_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("bollinger_bandwidth", ptr, "BollingerBandwidth")
}
#' BomarBands indicator
#' @keywords internal
#' @export
BomarBands <- function(period, coverage) {
ptr <- .Call("wk_bomar_bands_new", period, coverage, PACKAGE = "wickra")
.wk_obj("bomar_bands", ptr, "BomarBands")
}
#' BreadthThrust indicator
#' @keywords internal
#' @export
BreadthThrust <- function(period) {
ptr <- .Call("wk_breadth_thrust_new", period, PACKAGE = "wickra")
.wk_obj("breadth_thrust", ptr, "BreadthThrust")
}
#' Breakaway indicator
#' @keywords internal
#' @export
Breakaway <- function() {
ptr <- .Call("wk_breakaway_new", PACKAGE = "wickra")
.wk_obj("breakaway", ptr, "Breakaway")
}
#' BullishPercentIndex indicator
#' @keywords internal
#' @export
BullishPercentIndex <- function() {
ptr <- .Call("wk_bullish_percent_index_new", PACKAGE = "wickra")
.wk_obj("bullish_percent_index", ptr, "BullishPercentIndex")
}
#' BurkeRatio indicator
#' @keywords internal
#' @export
BurkeRatio <- function(period) {
ptr <- .Call("wk_burke_ratio_new", period, PACKAGE = "wickra")
.wk_obj("burke_ratio", ptr, "BurkeRatio")
}
#' Butterfly indicator
#' @keywords internal
#' @export
Butterfly <- function() {
ptr <- .Call("wk_butterfly_new", PACKAGE = "wickra")
.wk_obj("butterfly", ptr, "Butterfly")
}
#' CalendarSpread indicator
#' @keywords internal
#' @export
CalendarSpread <- function() {
ptr <- .Call("wk_calendar_spread_new", PACKAGE = "wickra")
.wk_obj("calendar_spread", ptr, "CalendarSpread")
}
#' CalmarRatio indicator
#' @keywords internal
#' @export
CalmarRatio <- function(period) {
ptr <- .Call("wk_calmar_ratio_new", period, PACKAGE = "wickra")
.wk_obj("calmar_ratio", ptr, "CalmarRatio")
}
#' Camarilla indicator
#' @keywords internal
#' @export
Camarilla <- function() {
ptr <- .Call("wk_camarilla_new", PACKAGE = "wickra")
.wk_obj("camarilla", ptr, "Camarilla")
}
#' CandleVolume indicator
#' @keywords internal
#' @export
CandleVolume <- function(period) {
ptr <- .Call("wk_candle_volume_new", period, PACKAGE = "wickra")
.wk_obj("candle_volume", ptr, "CandleVolume")
}
#' Cci indicator
#' @keywords internal
#' @export
Cci <- function(period) {
ptr <- .Call("wk_cci_new", period, PACKAGE = "wickra")
.wk_obj("cci", ptr, "Cci")
}
#' CenterOfGravity indicator
#' @keywords internal
#' @export
CenterOfGravity <- function(period) {
ptr <- .Call("wk_center_of_gravity_new", period, PACKAGE = "wickra")
.wk_obj("center_of_gravity", ptr, "CenterOfGravity")
}
#' CentralPivotRange indicator
#' @keywords internal
#' @export
CentralPivotRange <- function() {
ptr <- .Call("wk_central_pivot_range_new", PACKAGE = "wickra")
.wk_obj("central_pivot_range", ptr, "CentralPivotRange")
}
#' Cfo indicator
#' @keywords internal
#' @export
Cfo <- function(period) {
ptr <- .Call("wk_cfo_new", period, PACKAGE = "wickra")
.wk_obj("cfo", ptr, "Cfo")
}
#' ChaikinMoneyFlow indicator
#' @keywords internal
#' @export
ChaikinMoneyFlow <- function(period) {
ptr <- .Call("wk_chaikin_money_flow_new", period, PACKAGE = "wickra")
.wk_obj("chaikin_money_flow", ptr, "ChaikinMoneyFlow")
}
#' ChaikinOscillator indicator
#' @keywords internal
#' @export
ChaikinOscillator <- function(fast, slow) {
ptr <- .Call("wk_chaikin_oscillator_new", fast, slow, PACKAGE = "wickra")
.wk_obj("chaikin_oscillator", ptr, "ChaikinOscillator")
}
#' ChaikinVolatility indicator
#' @keywords internal
#' @export
ChaikinVolatility <- function(ema_period, roc_period) {
ptr <- .Call("wk_chaikin_volatility_new", ema_period, roc_period, PACKAGE = "wickra")
.wk_obj("chaikin_volatility", ptr, "ChaikinVolatility")
}
#' ChandeKrollStop indicator
#' @keywords internal
#' @export
ChandeKrollStop <- function(atr_period, atr_multiplier, stop_period) {
ptr <- .Call("wk_chande_kroll_stop_new", atr_period, atr_multiplier, stop_period, PACKAGE = "wickra")
.wk_obj("chande_kroll_stop", ptr, "ChandeKrollStop")
}
#' ChandelierExit indicator
#' @keywords internal
#' @export
ChandelierExit <- function(period, multiplier) {
ptr <- .Call("wk_chandelier_exit_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("chandelier_exit", ptr, "ChandelierExit")
}
#' ChoppinessIndex indicator
#' @keywords internal
#' @export
ChoppinessIndex <- function(period) {
ptr <- .Call("wk_choppiness_index_new", period, PACKAGE = "wickra")
.wk_obj("choppiness_index", ptr, "ChoppinessIndex")
}
#' ClassicPivots indicator
#' @keywords internal
#' @export
ClassicPivots <- function() {
ptr <- .Call("wk_classic_pivots_new", PACKAGE = "wickra")
.wk_obj("classic_pivots", ptr, "ClassicPivots")
}
#' CloseVsOpen indicator
#' @keywords internal
#' @export
CloseVsOpen <- function() {
ptr <- .Call("wk_close_vs_open_new", PACKAGE = "wickra")
.wk_obj("close_vs_open", ptr, "CloseVsOpen")
}
#' ClosingMarubozu indicator
#' @keywords internal
#' @export
ClosingMarubozu <- function() {
ptr <- .Call("wk_closing_marubozu_new", PACKAGE = "wickra")
.wk_obj("closing_marubozu", ptr, "ClosingMarubozu")
}
#' Cmo indicator
#' @keywords internal
#' @export
Cmo <- function(period) {
ptr <- .Call("wk_cmo_new", period, PACKAGE = "wickra")
.wk_obj("cmo", ptr, "Cmo")
}
#' CoefficientOfVariation indicator
#' @keywords internal
#' @export
CoefficientOfVariation <- function(period) {
ptr <- .Call("wk_coefficient_of_variation_new", period, PACKAGE = "wickra")
.wk_obj("coefficient_of_variation", ptr, "CoefficientOfVariation")
}
#' Cointegration indicator
#' @keywords internal
#' @export
Cointegration <- function(period, adf_lags) {
ptr <- .Call("wk_cointegration_new", period, adf_lags, PACKAGE = "wickra")
.wk_obj("cointegration", ptr, "Cointegration")
}
#' CommonSenseRatio indicator
#' @keywords internal
#' @export
CommonSenseRatio <- function(period) {
ptr <- .Call("wk_common_sense_ratio_new", period, PACKAGE = "wickra")
.wk_obj("common_sense_ratio", ptr, "CommonSenseRatio")
}
#' CompositeProfile indicator
#' @keywords internal
#' @export
CompositeProfile <- function(period, bins, value_area_pct) {
ptr <- .Call("wk_composite_profile_new", period, bins, value_area_pct, PACKAGE = "wickra")
.wk_obj("composite_profile", ptr, "CompositeProfile")
}
#' ConcealingBabySwallow indicator
#' @keywords internal
#' @export
ConcealingBabySwallow <- function() {
ptr <- .Call("wk_concealing_baby_swallow_new", PACKAGE = "wickra")
.wk_obj("concealing_baby_swallow", ptr, "ConcealingBabySwallow")
}
#' ConditionalValueAtRisk indicator
#' @keywords internal
#' @export
ConditionalValueAtRisk <- function(period, confidence) {
ptr <- .Call("wk_conditional_value_at_risk_new", period, confidence, PACKAGE = "wickra")
.wk_obj("conditional_value_at_risk", ptr, "ConditionalValueAtRisk")
}
#' ConnorsRsi indicator
#' @keywords internal
#' @export
ConnorsRsi <- function(period_rsi, period_streak, period_rank) {
ptr <- .Call("wk_connors_rsi_new", period_rsi, period_streak, period_rank, PACKAGE = "wickra")
.wk_obj("connors_rsi", ptr, "ConnorsRsi")
}
#' Coppock indicator
#' @keywords internal
#' @export
Coppock <- function(roc_long_period, roc_short_period, wma_period) {
ptr <- .Call("wk_coppock_new", roc_long_period, roc_short_period, wma_period, PACKAGE = "wickra")
.wk_obj("coppock", ptr, "Coppock")
}
#' CorrelationTrendIndicator indicator
#' @keywords internal
#' @export
CorrelationTrendIndicator <- function(period) {
ptr <- .Call("wk_correlation_trend_indicator_new", period, PACKAGE = "wickra")
.wk_obj("correlation_trend_indicator", ptr, "CorrelationTrendIndicator")
}
#' Counterattack indicator
#' @keywords internal
#' @export
Counterattack <- function() {
ptr <- .Call("wk_counterattack_new", PACKAGE = "wickra")
.wk_obj("counterattack", ptr, "Counterattack")
}
#' Crab indicator
#' @keywords internal
#' @export
Crab <- function() {
ptr <- .Call("wk_crab_new", PACKAGE = "wickra")
.wk_obj("crab", ptr, "Crab")
}
#' CumulativeVolumeDelta indicator
#' @keywords internal
#' @export
CumulativeVolumeDelta <- function() {
ptr <- .Call("wk_cumulative_volume_delta_new", PACKAGE = "wickra")
.wk_obj("cumulative_volume_delta", ptr, "CumulativeVolumeDelta")
}
#' CumulativeVolumeIndex indicator
#' @keywords internal
#' @export
CumulativeVolumeIndex <- function() {
ptr <- .Call("wk_cumulative_volume_index_new", PACKAGE = "wickra")
.wk_obj("cumulative_volume_index", ptr, "CumulativeVolumeIndex")
}
#' CupAndHandle indicator
#' @keywords internal
#' @export
CupAndHandle <- function() {
ptr <- .Call("wk_cup_and_handle_new", PACKAGE = "wickra")
.wk_obj("cup_and_handle", ptr, "CupAndHandle")
}
#' CyberneticCycle indicator
#' @keywords internal
#' @export
CyberneticCycle <- function(period) {
ptr <- .Call("wk_cybernetic_cycle_new", period, PACKAGE = "wickra")
.wk_obj("cybernetic_cycle", ptr, "CyberneticCycle")
}
#' Cypher indicator
#' @keywords internal
#' @export
Cypher <- function() {
ptr <- .Call("wk_cypher_new", PACKAGE = "wickra")
.wk_obj("cypher", ptr, "Cypher")
}
#' DayOfWeekProfile indicator
#' @keywords internal
#' @export
DayOfWeekProfile <- function(utc_offset_minutes) {
ptr <- .Call("wk_day_of_week_profile_new", utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("day_of_week_profile", ptr, "DayOfWeekProfile", values_cap = as.integer(4096L))
}
#' Decycler indicator
#' @keywords internal
#' @export
Decycler <- function(period) {
ptr <- .Call("wk_decycler_new", period, PACKAGE = "wickra")
.wk_obj("decycler", ptr, "Decycler")
}
#' DecyclerOscillator indicator
#' @keywords internal
#' @export
DecyclerOscillator <- function(fast, slow) {
ptr <- .Call("wk_decycler_oscillator_new", fast, slow, PACKAGE = "wickra")
.wk_obj("decycler_oscillator", ptr, "DecyclerOscillator")
}
#' Dema indicator
#' @keywords internal
#' @export
Dema <- function(period) {
ptr <- .Call("wk_dema_new", period, PACKAGE = "wickra")
.wk_obj("dema", ptr, "Dema")
}
#' DemandIndex indicator
#' @keywords internal
#' @export
DemandIndex <- function(period) {
ptr <- .Call("wk_demand_index_new", period, PACKAGE = "wickra")
.wk_obj("demand_index", ptr, "DemandIndex")
}
#' DemarkPivots indicator
#' @keywords internal
#' @export
DemarkPivots <- function() {
ptr <- .Call("wk_demark_pivots_new", PACKAGE = "wickra")
.wk_obj("demark_pivots", ptr, "DemarkPivots")
}
#' DepthSlope indicator
#' @keywords internal
#' @export
DepthSlope <- function() {
ptr <- .Call("wk_depth_slope_new", PACKAGE = "wickra")
.wk_obj("depth_slope", ptr, "DepthSlope")
}
#' DerivativeOscillator indicator
#' @keywords internal
#' @export
DerivativeOscillator <- function(rsi_period, smooth1, smooth2, signal_period) {
ptr <- .Call("wk_derivative_oscillator_new", rsi_period, smooth1, smooth2, signal_period, PACKAGE = "wickra")
.wk_obj("derivative_oscillator", ptr, "DerivativeOscillator")
}
#' DetrendedStdDev indicator
#' @keywords internal
#' @export
DetrendedStdDev <- function(period) {
ptr <- .Call("wk_detrended_std_dev_new", period, PACKAGE = "wickra")
.wk_obj("detrended_std_dev", ptr, "DetrendedStdDev")
}
#' DisparityIndex indicator
#' @keywords internal
#' @export
DisparityIndex <- function(period) {
ptr <- .Call("wk_disparity_index_new", period, PACKAGE = "wickra")
.wk_obj("disparity_index", ptr, "DisparityIndex")
}
#' DistanceSsd indicator
#' @keywords internal
#' @export
DistanceSsd <- function(period) {
ptr <- .Call("wk_distance_ssd_new", period, PACKAGE = "wickra")
.wk_obj("distance_ssd", ptr, "DistanceSsd")
}
#' Doji indicator
#' @keywords internal
#' @export
Doji <- function() {
ptr <- .Call("wk_doji_new", PACKAGE = "wickra")
.wk_obj("doji", ptr, "Doji")
}
#' DojiStar indicator
#' @keywords internal
#' @export
DojiStar <- function() {
ptr <- .Call("wk_doji_star_new", PACKAGE = "wickra")
.wk_obj("doji_star", ptr, "DojiStar")
}
#' DollarBars indicator
#' @keywords internal
#' @export
DollarBars <- function(dollar_per_bar) {
ptr <- .Call("wk_dollar_bars_new", dollar_per_bar, PACKAGE = "wickra")
.wk_obj("dollar_bars", ptr, "DollarBars")
}
#' Donchian indicator
#' @keywords internal
#' @export
Donchian <- function(period) {
ptr <- .Call("wk_donchian_new", period, PACKAGE = "wickra")
.wk_obj("donchian", ptr, "Donchian")
}
#' DonchianStop indicator
#' @keywords internal
#' @export
DonchianStop <- function(period) {
ptr <- .Call("wk_donchian_stop_new", period, PACKAGE = "wickra")
.wk_obj("donchian_stop", ptr, "DonchianStop")
}
#' DoubleBollinger indicator
#' @keywords internal
#' @export
DoubleBollinger <- function(period, k_inner, k_outer) {
ptr <- .Call("wk_double_bollinger_new", period, k_inner, k_outer, PACKAGE = "wickra")
.wk_obj("double_bollinger", ptr, "DoubleBollinger")
}
#' DoubleTopBottom indicator
#' @keywords internal
#' @export
DoubleTopBottom <- function() {
ptr <- .Call("wk_double_top_bottom_new", PACKAGE = "wickra")
.wk_obj("double_top_bottom", ptr, "DoubleTopBottom")
}
#' DownsideGapThreeMethods indicator
#' @keywords internal
#' @export
DownsideGapThreeMethods <- function() {
ptr <- .Call("wk_downside_gap_three_methods_new", PACKAGE = "wickra")
.wk_obj("downside_gap_three_methods", ptr, "DownsideGapThreeMethods")
}
#' Dpo indicator
#' @keywords internal
#' @export
Dpo <- function(period) {
ptr <- .Call("wk_dpo_new", period, PACKAGE = "wickra")
.wk_obj("dpo", ptr, "Dpo")
}
#' DragonflyDoji indicator
#' @keywords internal
#' @export
DragonflyDoji <- function() {
ptr <- .Call("wk_dragonfly_doji_new", PACKAGE = "wickra")
.wk_obj("dragonfly_doji", ptr, "DragonflyDoji")
}
#' DrawdownDuration indicator
#' @keywords internal
#' @export
DrawdownDuration <- function() {
ptr <- .Call("wk_drawdown_duration_new", PACKAGE = "wickra")
.wk_obj("drawdown_duration", ptr, "DrawdownDuration")
}
#' DumplingTop indicator
#' @keywords internal
#' @export
DumplingTop <- function(period) {
ptr <- .Call("wk_dumpling_top_new", period, PACKAGE = "wickra")
.wk_obj("dumpling_top", ptr, "DumplingTop")
}
#' Dx indicator
#' @keywords internal
#' @export
Dx <- function(period) {
ptr <- .Call("wk_dx_new", period, PACKAGE = "wickra")
.wk_obj("dx", ptr, "Dx")
}
#' DynamicMomentumIndex indicator
#' @keywords internal
#' @export
DynamicMomentumIndex <- function(period) {
ptr <- .Call("wk_dynamic_momentum_index_new", period, PACKAGE = "wickra")
.wk_obj("dynamic_momentum_index", ptr, "DynamicMomentumIndex")
}
#' EaseOfMovement indicator
#' @keywords internal
#' @export
EaseOfMovement <- function(period) {
ptr <- .Call("wk_ease_of_movement_new", period, PACKAGE = "wickra")
.wk_obj("ease_of_movement", ptr, "EaseOfMovement")
}
#' EffectiveSpread indicator
#' @keywords internal
#' @export
EffectiveSpread <- function() {
ptr <- .Call("wk_effective_spread_new", PACKAGE = "wickra")
.wk_obj("effective_spread", ptr, "EffectiveSpread")
}
#' EhlersStochastic indicator
#' @keywords internal
#' @export
EhlersStochastic <- function(period) {
ptr <- .Call("wk_ehlers_stochastic_new", period, PACKAGE = "wickra")
.wk_obj("ehlers_stochastic", ptr, "EhlersStochastic")
}
#' Ehma indicator
#' @keywords internal
#' @export
Ehma <- function(period) {
ptr <- .Call("wk_ehma_new", period, PACKAGE = "wickra")
.wk_obj("ehma", ptr, "Ehma")
}
#' ElderImpulse indicator
#' @keywords internal
#' @export
ElderImpulse <- function(ema_period, macd_fast, macd_slow, macd_signal) {
ptr <- .Call("wk_elder_impulse_new", ema_period, macd_fast, macd_slow, macd_signal, PACKAGE = "wickra")
.wk_obj("elder_impulse", ptr, "ElderImpulse")
}
#' ElderRay indicator
#' @keywords internal
#' @export
ElderRay <- function(period) {
ptr <- .Call("wk_elder_ray_new", period, PACKAGE = "wickra")
.wk_obj("elder_ray", ptr, "ElderRay")
}
#' ElderSafeZone indicator
#' @keywords internal
#' @export
ElderSafeZone <- function(period, coeff) {
ptr <- .Call("wk_elder_safe_zone_new", period, coeff, PACKAGE = "wickra")
.wk_obj("elder_safe_zone", ptr, "ElderSafeZone")
}
#' Ema indicator
#' @keywords internal
#' @export
Ema <- function(period) {
ptr <- .Call("wk_ema_new", period, PACKAGE = "wickra")
.wk_obj("ema", ptr, "Ema")
}
#' EmpiricalModeDecomposition indicator
#' @keywords internal
#' @export
EmpiricalModeDecomposition <- function(period, fraction) {
ptr <- .Call("wk_empirical_mode_decomposition_new", period, fraction, PACKAGE = "wickra")
.wk_obj("empirical_mode_decomposition", ptr, "EmpiricalModeDecomposition")
}
#' Engulfing indicator
#' @keywords internal
#' @export
Engulfing <- function() {
ptr <- .Call("wk_engulfing_new", PACKAGE = "wickra")
.wk_obj("engulfing", ptr, "Engulfing")
}
#' Equivolume indicator
#' @keywords internal
#' @export
Equivolume <- function(period) {
ptr <- .Call("wk_equivolume_new", period, PACKAGE = "wickra")
.wk_obj("equivolume", ptr, "Equivolume")
}
#' EstimatedLeverageRatio indicator
#' @keywords internal
#' @export
EstimatedLeverageRatio <- function() {
ptr <- .Call("wk_estimated_leverage_ratio_new", PACKAGE = "wickra")
.wk_obj("estimated_leverage_ratio", ptr, "EstimatedLeverageRatio")
}
#' EvenBetterSinewave indicator
#' @keywords internal
#' @export
EvenBetterSinewave <- function(hp_period, ssf_length) {
ptr <- .Call("wk_even_better_sinewave_new", hp_period, ssf_length, PACKAGE = "wickra")
.wk_obj("even_better_sinewave", ptr, "EvenBetterSinewave")
}
#' EveningDojiStar indicator
#' @keywords internal
#' @export
EveningDojiStar <- function() {
ptr <- .Call("wk_evening_doji_star_new", PACKAGE = "wickra")
.wk_obj("evening_doji_star", ptr, "EveningDojiStar")
}
#' Evwma indicator
#' @keywords internal
#' @export
Evwma <- function(period) {
ptr <- .Call("wk_evwma_new", period, PACKAGE = "wickra")
.wk_obj("evwma", ptr, "Evwma")
}
#' EwmaVolatility indicator
#' @keywords internal
#' @export
EwmaVolatility <- function(lambda) {
ptr <- .Call("wk_ewma_volatility_new", lambda, PACKAGE = "wickra")
.wk_obj("ewma_volatility", ptr, "EwmaVolatility")
}
#' Expectancy indicator
#' @keywords internal
#' @export
Expectancy <- function(period) {
ptr <- .Call("wk_expectancy_new", period, PACKAGE = "wickra")
.wk_obj("expectancy", ptr, "Expectancy")
}
#' FallingThreeMethods indicator
#' @keywords internal
#' @export
FallingThreeMethods <- function() {
ptr <- .Call("wk_falling_three_methods_new", PACKAGE = "wickra")
.wk_obj("falling_three_methods", ptr, "FallingThreeMethods")
}
#' Fama indicator
#' @keywords internal
#' @export
Fama <- function(fast_limit, slow_limit) {
ptr <- .Call("wk_fama_new", fast_limit, slow_limit, PACKAGE = "wickra")
.wk_obj("fama", ptr, "Fama")
}
#' FibArcs indicator
#' @keywords internal
#' @export
FibArcs <- function() {
ptr <- .Call("wk_fib_arcs_new", PACKAGE = "wickra")
.wk_obj("fib_arcs", ptr, "FibArcs")
}
#' FibChannel indicator
#' @keywords internal
#' @export
FibChannel <- function() {
ptr <- .Call("wk_fib_channel_new", PACKAGE = "wickra")
.wk_obj("fib_channel", ptr, "FibChannel")
}
#' FibConfluence indicator
#' @keywords internal
#' @export
FibConfluence <- function() {
ptr <- .Call("wk_fib_confluence_new", PACKAGE = "wickra")
.wk_obj("fib_confluence", ptr, "FibConfluence")
}
#' FibExtension indicator
#' @keywords internal
#' @export
FibExtension <- function() {
ptr <- .Call("wk_fib_extension_new", PACKAGE = "wickra")
.wk_obj("fib_extension", ptr, "FibExtension")
}
#' FibFan indicator
#' @keywords internal
#' @export
FibFan <- function() {
ptr <- .Call("wk_fib_fan_new", PACKAGE = "wickra")
.wk_obj("fib_fan", ptr, "FibFan")
}
#' FibProjection indicator
#' @keywords internal
#' @export
FibProjection <- function() {
ptr <- .Call("wk_fib_projection_new", PACKAGE = "wickra")
.wk_obj("fib_projection", ptr, "FibProjection")
}
#' FibRetracement indicator
#' @keywords internal
#' @export
FibRetracement <- function() {
ptr <- .Call("wk_fib_retracement_new", PACKAGE = "wickra")
.wk_obj("fib_retracement", ptr, "FibRetracement")
}
#' FibTimeZones indicator
#' @keywords internal
#' @export
FibTimeZones <- function() {
ptr <- .Call("wk_fib_time_zones_new", PACKAGE = "wickra")
.wk_obj("fib_time_zones", ptr, "FibTimeZones")
}
#' FibonacciPivots indicator
#' @keywords internal
#' @export
FibonacciPivots <- function() {
ptr <- .Call("wk_fibonacci_pivots_new", PACKAGE = "wickra")
.wk_obj("fibonacci_pivots", ptr, "FibonacciPivots")
}
#' FisherRsi indicator
#' @keywords internal
#' @export
FisherRsi <- function(period) {
ptr <- .Call("wk_fisher_rsi_new", period, PACKAGE = "wickra")
.wk_obj("fisher_rsi", ptr, "FisherRsi")
}
#' FisherTransform indicator
#' @keywords internal
#' @export
FisherTransform <- function(period) {
ptr <- .Call("wk_fisher_transform_new", period, PACKAGE = "wickra")
.wk_obj("fisher_transform", ptr, "FisherTransform")
}
#' FlagPennant indicator
#' @keywords internal
#' @export
FlagPennant <- function() {
ptr <- .Call("wk_flag_pennant_new", PACKAGE = "wickra")
.wk_obj("flag_pennant", ptr, "FlagPennant")
}
#' Footprint indicator
#' @keywords internal
#' @export
Footprint <- function(tick_size) {
ptr <- .Call("wk_footprint_new", tick_size, PACKAGE = "wickra")
.wk_obj("footprint", ptr, "Footprint")
}
#' ForceIndex indicator
#' @keywords internal
#' @export
ForceIndex <- function(period) {
ptr <- .Call("wk_force_index_new", period, PACKAGE = "wickra")
.wk_obj("force_index", ptr, "ForceIndex")
}
#' FractalChaosBands indicator
#' @keywords internal
#' @export
FractalChaosBands <- function(k) {
ptr <- .Call("wk_fractal_chaos_bands_new", k, PACKAGE = "wickra")
.wk_obj("fractal_chaos_bands", ptr, "FractalChaosBands")
}
#' Frama indicator
#' @keywords internal
#' @export
Frama <- function(period) {
ptr <- .Call("wk_frama_new", period, PACKAGE = "wickra")
.wk_obj("frama", ptr, "Frama")
}
#' FryPanBottom indicator
#' @keywords internal
#' @export
FryPanBottom <- function(period) {
ptr <- .Call("wk_fry_pan_bottom_new", period, PACKAGE = "wickra")
.wk_obj("fry_pan_bottom", ptr, "FryPanBottom")
}
#' FundingBasis indicator
#' @keywords internal
#' @export
FundingBasis <- function() {
ptr <- .Call("wk_funding_basis_new", PACKAGE = "wickra")
.wk_obj("funding_basis", ptr, "FundingBasis")
}
#' FundingImpliedApr indicator
#' @keywords internal
#' @export
FundingImpliedApr <- function(intervals_per_year) {
ptr <- .Call("wk_funding_implied_apr_new", intervals_per_year, PACKAGE = "wickra")
.wk_obj("funding_implied_apr", ptr, "FundingImpliedApr")
}
#' FundingRate indicator
#' @keywords internal
#' @export
FundingRate <- function() {
ptr <- .Call("wk_funding_rate_new", PACKAGE = "wickra")
.wk_obj("funding_rate", ptr, "FundingRate")
}
#' FundingRateMean indicator
#' @keywords internal
#' @export
FundingRateMean <- function(window) {
ptr <- .Call("wk_funding_rate_mean_new", window, PACKAGE = "wickra")
.wk_obj("funding_rate_mean", ptr, "FundingRateMean")
}
#' FundingRateZScore indicator
#' @keywords internal
#' @export
FundingRateZScore <- function(window) {
ptr <- .Call("wk_funding_rate_z_score_new", window, PACKAGE = "wickra")
.wk_obj("funding_rate_z_score", ptr, "FundingRateZScore")
}
#' GainLossRatio indicator
#' @keywords internal
#' @export
GainLossRatio <- function(period) {
ptr <- .Call("wk_gain_loss_ratio_new", period, PACKAGE = "wickra")
.wk_obj("gain_loss_ratio", ptr, "GainLossRatio")
}
#' GainToPainRatio indicator
#' @keywords internal
#' @export
GainToPainRatio <- function(period) {
ptr <- .Call("wk_gain_to_pain_ratio_new", period, PACKAGE = "wickra")
.wk_obj("gain_to_pain_ratio", ptr, "GainToPainRatio")
}
#' GapSideBySideWhite indicator
#' @keywords internal
#' @export
GapSideBySideWhite <- function() {
ptr <- .Call("wk_gap_side_by_side_white_new", PACKAGE = "wickra")
.wk_obj("gap_side_by_side_white", ptr, "GapSideBySideWhite")
}
#' Garch11 indicator
#' @keywords internal
#' @export
Garch11 <- function(omega, alpha, beta) {
ptr <- .Call("wk_garch11_new", omega, alpha, beta, PACKAGE = "wickra")
.wk_obj("garch11", ptr, "Garch11")
}
#' GarmanKlassVolatility indicator
#' @keywords internal
#' @export
GarmanKlassVolatility <- function(period, trading_periods) {
ptr <- .Call("wk_garman_klass_volatility_new", period, trading_periods, PACKAGE = "wickra")
.wk_obj("garman_klass_volatility", ptr, "GarmanKlassVolatility")
}
#' Gartley indicator
#' @keywords internal
#' @export
Gartley <- function() {
ptr <- .Call("wk_gartley_new", PACKAGE = "wickra")
.wk_obj("gartley", ptr, "Gartley")
}
#' GatorOscillator indicator
#' @keywords internal
#' @export
GatorOscillator <- function(jaw_period, teeth_period, lips_period) {
ptr <- .Call("wk_gator_oscillator_new", jaw_period, teeth_period, lips_period, PACKAGE = "wickra")
.wk_obj("gator_oscillator", ptr, "GatorOscillator")
}
#' GeneralizedDema indicator
#' @keywords internal
#' @export
GeneralizedDema <- function(period, v) {
ptr <- .Call("wk_generalized_dema_new", period, v, PACKAGE = "wickra")
.wk_obj("generalized_dema", ptr, "GeneralizedDema")
}
#' GeometricMa indicator
#' @keywords internal
#' @export
GeometricMa <- function(period) {
ptr <- .Call("wk_geometric_ma_new", period, PACKAGE = "wickra")
.wk_obj("geometric_ma", ptr, "GeometricMa")
}
#' GoldenPocket indicator
#' @keywords internal
#' @export
GoldenPocket <- function() {
ptr <- .Call("wk_golden_pocket_new", PACKAGE = "wickra")
.wk_obj("golden_pocket", ptr, "GoldenPocket")
}
#' GrangerCausality indicator
#' @keywords internal
#' @export
GrangerCausality <- function(period, lag) {
ptr <- .Call("wk_granger_causality_new", period, lag, PACKAGE = "wickra")
.wk_obj("granger_causality", ptr, "GrangerCausality")
}
#' GravestoneDoji indicator
#' @keywords internal
#' @export
GravestoneDoji <- function() {
ptr <- .Call("wk_gravestone_doji_new", PACKAGE = "wickra")
.wk_obj("gravestone_doji", ptr, "GravestoneDoji")
}
#' Hammer indicator
#' @keywords internal
#' @export
Hammer <- function() {
ptr <- .Call("wk_hammer_new", PACKAGE = "wickra")
.wk_obj("hammer", ptr, "Hammer")
}
#' HangingMan indicator
#' @keywords internal
#' @export
HangingMan <- function() {
ptr <- .Call("wk_hanging_man_new", PACKAGE = "wickra")
.wk_obj("hanging_man", ptr, "HangingMan")
}
#' Harami indicator
#' @keywords internal
#' @export
Harami <- function() {
ptr <- .Call("wk_harami_new", PACKAGE = "wickra")
.wk_obj("harami", ptr, "Harami")
}
#' HaramiCross indicator
#' @keywords internal
#' @export
HaramiCross <- function() {
ptr <- .Call("wk_harami_cross_new", PACKAGE = "wickra")
.wk_obj("harami_cross", ptr, "HaramiCross")
}
#' HasbrouckInformationShare indicator
#' @keywords internal
#' @export
HasbrouckInformationShare <- function(period) {
ptr <- .Call("wk_hasbrouck_information_share_new", period, PACKAGE = "wickra")
.wk_obj("hasbrouck_information_share", ptr, "HasbrouckInformationShare")
}
#' HeadAndShoulders indicator
#' @keywords internal
#' @export
HeadAndShoulders <- function() {
ptr <- .Call("wk_head_and_shoulders_new", PACKAGE = "wickra")
.wk_obj("head_and_shoulders", ptr, "HeadAndShoulders")
}
#' HeikinAshi indicator
#' @keywords internal
#' @export
HeikinAshi <- function() {
ptr <- .Call("wk_heikin_ashi_new", PACKAGE = "wickra")
.wk_obj("heikin_ashi", ptr, "HeikinAshi")
}
#' HeikinAshiOscillator indicator
#' @keywords internal
#' @export
HeikinAshiOscillator <- function(period) {
ptr <- .Call("wk_heikin_ashi_oscillator_new", period, PACKAGE = "wickra")
.wk_obj("heikin_ashi_oscillator", ptr, "HeikinAshiOscillator")
}
#' HiLoActivator indicator
#' @keywords internal
#' @export
HiLoActivator <- function(period) {
ptr <- .Call("wk_hi_lo_activator_new", period, PACKAGE = "wickra")
.wk_obj("hi_lo_activator", ptr, "HiLoActivator")
}
#' HighLowIndex indicator
#' @keywords internal
#' @export
HighLowIndex <- function(period) {
ptr <- .Call("wk_high_low_index_new", period, PACKAGE = "wickra")
.wk_obj("high_low_index", ptr, "HighLowIndex")
}
#' HighLowRange indicator
#' @keywords internal
#' @export
HighLowRange <- function() {
ptr <- .Call("wk_high_low_range_new", PACKAGE = "wickra")
.wk_obj("high_low_range", ptr, "HighLowRange")
}
#' HighLowVolumeNodes indicator
#' @keywords internal
#' @export
HighLowVolumeNodes <- function(period, bins) {
ptr <- .Call("wk_high_low_volume_nodes_new", period, bins, PACKAGE = "wickra")
.wk_obj("high_low_volume_nodes", ptr, "HighLowVolumeNodes")
}
#' HighWave indicator
#' @keywords internal
#' @export
HighWave <- function() {
ptr <- .Call("wk_high_wave_new", PACKAGE = "wickra")
.wk_obj("high_wave", ptr, "HighWave")
}
#' HighpassFilter indicator
#' @keywords internal
#' @export
HighpassFilter <- function(period) {
ptr <- .Call("wk_highpass_filter_new", period, PACKAGE = "wickra")
.wk_obj("highpass_filter", ptr, "HighpassFilter")
}
#' Hikkake indicator
#' @keywords internal
#' @export
Hikkake <- function() {
ptr <- .Call("wk_hikkake_new", PACKAGE = "wickra")
.wk_obj("hikkake", ptr, "Hikkake")
}
#' HikkakeModified indicator
#' @keywords internal
#' @export
HikkakeModified <- function() {
ptr <- .Call("wk_hikkake_modified_new", PACKAGE = "wickra")
.wk_obj("hikkake_modified", ptr, "HikkakeModified")
}
#' HilbertDominantCycle indicator
#' @keywords internal
#' @export
HilbertDominantCycle <- function() {
ptr <- .Call("wk_hilbert_dominant_cycle_new", PACKAGE = "wickra")
.wk_obj("hilbert_dominant_cycle", ptr, "HilbertDominantCycle")
}
#' HistoricalVolatility indicator
#' @keywords internal
#' @export
HistoricalVolatility <- function(period, trading_periods) {
ptr <- .Call("wk_historical_volatility_new", period, trading_periods, PACKAGE = "wickra")
.wk_obj("historical_volatility", ptr, "HistoricalVolatility")
}
#' Hma indicator
#' @keywords internal
#' @export
Hma <- function(period) {
ptr <- .Call("wk_hma_new", period, PACKAGE = "wickra")
.wk_obj("hma", ptr, "Hma")
}
#' HoltWinters indicator
#' @keywords internal
#' @export
HoltWinters <- function(alpha, beta) {
ptr <- .Call("wk_holt_winters_new", alpha, beta, PACKAGE = "wickra")
.wk_obj("holt_winters", ptr, "HoltWinters")
}
#' HomingPigeon indicator
#' @keywords internal
#' @export
HomingPigeon <- function() {
ptr <- .Call("wk_homing_pigeon_new", PACKAGE = "wickra")
.wk_obj("homing_pigeon", ptr, "HomingPigeon")
}
#' HtDcPhase indicator
#' @keywords internal
#' @export
HtDcPhase <- function() {
ptr <- .Call("wk_ht_dc_phase_new", PACKAGE = "wickra")
.wk_obj("ht_dc_phase", ptr, "HtDcPhase")
}
#' HtPhasor indicator
#' @keywords internal
#' @export
HtPhasor <- function() {
ptr <- .Call("wk_ht_phasor_new", PACKAGE = "wickra")
.wk_obj("ht_phasor", ptr, "HtPhasor")
}
#' HtTrendMode indicator
#' @keywords internal
#' @export
HtTrendMode <- function() {
ptr <- .Call("wk_ht_trend_mode_new", PACKAGE = "wickra")
.wk_obj("ht_trend_mode", ptr, "HtTrendMode")
}
#' HurstChannel indicator
#' @keywords internal
#' @export
HurstChannel <- function(period, multiplier) {
ptr <- .Call("wk_hurst_channel_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("hurst_channel", ptr, "HurstChannel")
}
#' HurstExponent indicator
#' @keywords internal
#' @export
HurstExponent <- function(period, chunks) {
ptr <- .Call("wk_hurst_exponent_new", period, chunks, PACKAGE = "wickra")
.wk_obj("hurst_exponent", ptr, "HurstExponent")
}
#' Ichimoku indicator
#' @keywords internal
#' @export
Ichimoku <- function(tenkan_period, kijun_period, senkou_b_period, displacement) {
ptr <- .Call("wk_ichimoku_new", tenkan_period, kijun_period, senkou_b_period, displacement, PACKAGE = "wickra")
.wk_obj("ichimoku", ptr, "Ichimoku")
}
#' IdenticalThreeCrows indicator
#' @keywords internal
#' @export
IdenticalThreeCrows <- function() {
ptr <- .Call("wk_identical_three_crows_new", PACKAGE = "wickra")
.wk_obj("identical_three_crows", ptr, "IdenticalThreeCrows")
}
#' ImbalanceBars indicator
#' @keywords internal
#' @export
ImbalanceBars <- function(threshold) {
ptr <- .Call("wk_imbalance_bars_new", threshold, PACKAGE = "wickra")
.wk_obj("imbalance_bars", ptr, "ImbalanceBars")
}
#' InNeck indicator
#' @keywords internal
#' @export
InNeck <- function() {
ptr <- .Call("wk_in_neck_new", PACKAGE = "wickra")
.wk_obj("in_neck", ptr, "InNeck")
}
#' Inertia indicator
#' @keywords internal
#' @export
Inertia <- function(rvi_period, linreg_period) {
ptr <- .Call("wk_inertia_new", rvi_period, linreg_period, PACKAGE = "wickra")
.wk_obj("inertia", ptr, "Inertia")
}
#' InformationRatio indicator
#' @keywords internal
#' @export
InformationRatio <- function(period) {
ptr <- .Call("wk_information_ratio_new", period, PACKAGE = "wickra")
.wk_obj("information_ratio", ptr, "InformationRatio")
}
#' InitialBalance indicator
#' @keywords internal
#' @export
InitialBalance <- function(period) {
ptr <- .Call("wk_initial_balance_new", period, PACKAGE = "wickra")
.wk_obj("initial_balance", ptr, "InitialBalance")
}
#' InstantaneousTrendline indicator
#' @keywords internal
#' @export
InstantaneousTrendline <- function(period) {
ptr <- .Call("wk_instantaneous_trendline_new", period, PACKAGE = "wickra")
.wk_obj("instantaneous_trendline", ptr, "InstantaneousTrendline")
}
#' IntradayIntensity indicator
#' @keywords internal
#' @export
IntradayIntensity <- function() {
ptr <- .Call("wk_intraday_intensity_new", PACKAGE = "wickra")
.wk_obj("intraday_intensity", ptr, "IntradayIntensity")
}
#' IntradayMomentumIndex indicator
#' @keywords internal
#' @export
IntradayMomentumIndex <- function(period) {
ptr <- .Call("wk_intraday_momentum_index_new", period, PACKAGE = "wickra")
.wk_obj("intraday_momentum_index", ptr, "IntradayMomentumIndex")
}
#' IntradayVolatilityProfile indicator
#' @keywords internal
#' @export
IntradayVolatilityProfile <- function(buckets, utc_offset_minutes) {
ptr <- .Call("wk_intraday_volatility_profile_new", buckets, utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("intraday_volatility_profile", ptr, "IntradayVolatilityProfile", values_cap = as.integer(buckets))
}
#' InverseFisherTransform indicator
#' @keywords internal
#' @export
InverseFisherTransform <- function(scale) {
ptr <- .Call("wk_inverse_fisher_transform_new", scale, PACKAGE = "wickra")
.wk_obj("inverse_fisher_transform", ptr, "InverseFisherTransform")
}
#' InvertedHammer indicator
#' @keywords internal
#' @export
InvertedHammer <- function() {
ptr <- .Call("wk_inverted_hammer_new", PACKAGE = "wickra")
.wk_obj("inverted_hammer", ptr, "InvertedHammer")
}
#' JarqueBera indicator
#' @keywords internal
#' @export
JarqueBera <- function(period) {
ptr <- .Call("wk_jarque_bera_new", period, PACKAGE = "wickra")
.wk_obj("jarque_bera", ptr, "JarqueBera")
}
#' Jma indicator
#' @keywords internal
#' @export
Jma <- function(period, phase, power) {
ptr <- .Call("wk_jma_new", period, phase, power, PACKAGE = "wickra")
.wk_obj("jma", ptr, "Jma")
}
#' JumpIndicator indicator
#' @keywords internal
#' @export
JumpIndicator <- function(period, threshold) {
ptr <- .Call("wk_jump_indicator_new", period, threshold, PACKAGE = "wickra")
.wk_obj("jump_indicator", ptr, "JumpIndicator")
}
#' KRatio indicator
#' @keywords internal
#' @export
KRatio <- function(period) {
ptr <- .Call("wk_k_ratio_new", period, PACKAGE = "wickra")
.wk_obj("k_ratio", ptr, "KRatio")
}
#' KagiBars indicator
#' @keywords internal
#' @export
KagiBars <- function(reversal) {
ptr <- .Call("wk_kagi_bars_new", reversal, PACKAGE = "wickra")
.wk_obj("kagi_bars", ptr, "KagiBars")
}
#' KalmanHedgeRatio indicator
#' @keywords internal
#' @export
KalmanHedgeRatio <- function(delta, observation_var) {
ptr <- .Call("wk_kalman_hedge_ratio_new", delta, observation_var, PACKAGE = "wickra")
.wk_obj("kalman_hedge_ratio", ptr, "KalmanHedgeRatio")
}
#' Kama indicator
#' @keywords internal
#' @export
Kama <- function(er_period, fast, slow) {
ptr <- .Call("wk_kama_new", er_period, fast, slow, PACKAGE = "wickra")
.wk_obj("kama", ptr, "Kama")
}
#' KaseDevStop indicator
#' @keywords internal
#' @export
KaseDevStop <- function(period, dev) {
ptr <- .Call("wk_kase_dev_stop_new", period, dev, PACKAGE = "wickra")
.wk_obj("kase_dev_stop", ptr, "KaseDevStop")
}
#' KasePermissionStochastic indicator
#' @keywords internal
#' @export
KasePermissionStochastic <- function(length, smooth) {
ptr <- .Call("wk_kase_permission_stochastic_new", length, smooth, PACKAGE = "wickra")
.wk_obj("kase_permission_stochastic", ptr, "KasePermissionStochastic")
}
#' KellyCriterion indicator
#' @keywords internal
#' @export
KellyCriterion <- function(period) {
ptr <- .Call("wk_kelly_criterion_new", period, PACKAGE = "wickra")
.wk_obj("kelly_criterion", ptr, "KellyCriterion")
}
#' Keltner indicator
#' @keywords internal
#' @export
Keltner <- function(ema_period, atr_period, multiplier) {
ptr <- .Call("wk_keltner_new", ema_period, atr_period, multiplier, PACKAGE = "wickra")
.wk_obj("keltner", ptr, "Keltner")
}
#' KendallTau indicator
#' @keywords internal
#' @export
KendallTau <- function(period) {
ptr <- .Call("wk_kendall_tau_new", period, PACKAGE = "wickra")
.wk_obj("kendall_tau", ptr, "KendallTau")
}
#' Kicking indicator
#' @keywords internal
#' @export
Kicking <- function() {
ptr <- .Call("wk_kicking_new", PACKAGE = "wickra")
.wk_obj("kicking", ptr, "Kicking")
}
#' KickingByLength indicator
#' @keywords internal
#' @export
KickingByLength <- function() {
ptr <- .Call("wk_kicking_by_length_new", PACKAGE = "wickra")
.wk_obj("kicking_by_length", ptr, "KickingByLength")
}
#' Kst indicator
#' @keywords internal
#' @export
Kst <- function(roc1, roc2, roc3, roc4, sma1, sma2, sma3, sma4, signal) {
ptr <- .Call("wk_kst_new", roc1, roc2, roc3, roc4, sma1, sma2, sma3, sma4, signal, PACKAGE = "wickra")
.wk_obj("kst", ptr, "Kst")
}
#' Kurtosis indicator
#' @keywords internal
#' @export
Kurtosis <- function(period) {
ptr <- .Call("wk_kurtosis_new", period, PACKAGE = "wickra")
.wk_obj("kurtosis", ptr, "Kurtosis")
}
#' Kvo indicator
#' @keywords internal
#' @export
Kvo <- function(fast, slow) {
ptr <- .Call("wk_kvo_new", fast, slow, PACKAGE = "wickra")
.wk_obj("kvo", ptr, "Kvo")
}
#' KylesLambda indicator
#' @keywords internal
#' @export
KylesLambda <- function(window) {
ptr <- .Call("wk_kyles_lambda_new", window, PACKAGE = "wickra")
.wk_obj("kyles_lambda", ptr, "KylesLambda")
}
#' LadderBottom indicator
#' @keywords internal
#' @export
LadderBottom <- function() {
ptr <- .Call("wk_ladder_bottom_new", PACKAGE = "wickra")
.wk_obj("ladder_bottom", ptr, "LadderBottom")
}
#' LaguerreRsi indicator
#' @keywords internal
#' @export
LaguerreRsi <- function(gamma) {
ptr <- .Call("wk_laguerre_rsi_new", gamma, PACKAGE = "wickra")
.wk_obj("laguerre_rsi", ptr, "LaguerreRsi")
}
#' LeadLagCrossCorrelation indicator
#' @keywords internal
#' @export
LeadLagCrossCorrelation <- function(window, max_lag) {
ptr <- .Call("wk_lead_lag_cross_correlation_new", window, max_lag, PACKAGE = "wickra")
.wk_obj("lead_lag_cross_correlation", ptr, "LeadLagCrossCorrelation")
}
#' LinRegAngle indicator
#' @keywords internal
#' @export
LinRegAngle <- function(period) {
ptr <- .Call("wk_lin_reg_angle_new", period, PACKAGE = "wickra")
.wk_obj("lin_reg_angle", ptr, "LinRegAngle")
}
#' LinRegChannel indicator
#' @keywords internal
#' @export
LinRegChannel <- function(period, multiplier) {
ptr <- .Call("wk_lin_reg_channel_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("lin_reg_channel", ptr, "LinRegChannel")
}
#' LinRegIntercept indicator
#' @keywords internal
#' @export
LinRegIntercept <- function(period) {
ptr <- .Call("wk_lin_reg_intercept_new", period, PACKAGE = "wickra")
.wk_obj("lin_reg_intercept", ptr, "LinRegIntercept")
}
#' LinRegSlope indicator
#' @keywords internal
#' @export
LinRegSlope <- function(period) {
ptr <- .Call("wk_lin_reg_slope_new", period, PACKAGE = "wickra")
.wk_obj("lin_reg_slope", ptr, "LinRegSlope")
}
#' LinearRegression indicator
#' @keywords internal
#' @export
LinearRegression <- function(period) {
ptr <- .Call("wk_linear_regression_new", period, PACKAGE = "wickra")
.wk_obj("linear_regression", ptr, "LinearRegression")
}
#' LiquidationFeatures indicator
#' @keywords internal
#' @export
LiquidationFeatures <- function() {
ptr <- .Call("wk_liquidation_features_new", PACKAGE = "wickra")
.wk_obj("liquidation_features", ptr, "LiquidationFeatures")
}
#' LogReturn indicator
#' @keywords internal
#' @export
LogReturn <- function(period) {
ptr <- .Call("wk_log_return_new", period, PACKAGE = "wickra")
.wk_obj("log_return", ptr, "LogReturn")
}
#' LongLeggedDoji indicator
#' @keywords internal
#' @export
LongLeggedDoji <- function() {
ptr <- .Call("wk_long_legged_doji_new", PACKAGE = "wickra")
.wk_obj("long_legged_doji", ptr, "LongLeggedDoji")
}
#' LongLine indicator
#' @keywords internal
#' @export
LongLine <- function() {
ptr <- .Call("wk_long_line_new", PACKAGE = "wickra")
.wk_obj("long_line", ptr, "LongLine")
}
#' LongShortRatio indicator
#' @keywords internal
#' @export
LongShortRatio <- function() {
ptr <- .Call("wk_long_short_ratio_new", PACKAGE = "wickra")
.wk_obj("long_short_ratio", ptr, "LongShortRatio")
}
#' M2Measure indicator
#' @keywords internal
#' @export
M2Measure <- function(period, risk_free, benchmark_stddev) {
ptr <- .Call("wk_m2_measure_new", period, risk_free, benchmark_stddev, PACKAGE = "wickra")
.wk_obj("m2_measure", ptr, "M2Measure")
}
#' MaEnvelope indicator
#' @keywords internal
#' @export
MaEnvelope <- function(period, percent) {
ptr <- .Call("wk_ma_envelope_new", period, percent, PACKAGE = "wickra")
.wk_obj("ma_envelope", ptr, "MaEnvelope")
}
#' MacdExt indicator
#' @keywords internal
#' @export
MacdExt <- function(fast, fast_type, slow, slow_type, signal, signal_type) {
ptr <- .Call("wk_macd_ext_new", fast, fast_type, slow, slow_type, signal, signal_type, PACKAGE = "wickra")
.wk_obj("macd_ext", ptr, "MacdExt")
}
#' MacdFix indicator
#' @keywords internal
#' @export
MacdFix <- function(signal) {
ptr <- .Call("wk_macd_fix_new", signal, PACKAGE = "wickra")
.wk_obj("macd_fix", ptr, "MacdFix")
}
#' MacdHistogram indicator
#' @keywords internal
#' @export
MacdHistogram <- function(fast, slow, signal) {
ptr <- .Call("wk_macd_histogram_new", fast, slow, signal, PACKAGE = "wickra")
.wk_obj("macd_histogram", ptr, "MacdHistogram")
}
#' MacdIndicator indicator
#' @keywords internal
#' @export
MacdIndicator <- function(fast, slow, signal) {
ptr <- .Call("wk_macd_indicator_new", fast, slow, signal, PACKAGE = "wickra")
.wk_obj("macd_indicator", ptr, "MacdIndicator")
}
#' Mama indicator
#' @keywords internal
#' @export
Mama <- function(fast_limit, slow_limit) {
ptr <- .Call("wk_mama_new", fast_limit, slow_limit, PACKAGE = "wickra")
.wk_obj("mama", ptr, "Mama")
}
#' MarketFacilitationIndex indicator
#' @keywords internal
#' @export
MarketFacilitationIndex <- function() {
ptr <- .Call("wk_market_facilitation_index_new", PACKAGE = "wickra")
.wk_obj("market_facilitation_index", ptr, "MarketFacilitationIndex")
}
#' MartinRatio indicator
#' @keywords internal
#' @export
MartinRatio <- function(period) {
ptr <- .Call("wk_martin_ratio_new", period, PACKAGE = "wickra")
.wk_obj("martin_ratio", ptr, "MartinRatio")
}
#' Marubozu indicator
#' @keywords internal
#' @export
Marubozu <- function() {
ptr <- .Call("wk_marubozu_new", PACKAGE = "wickra")
.wk_obj("marubozu", ptr, "Marubozu")
}
#' MassIndex indicator
#' @keywords internal
#' @export
MassIndex <- function(ema_period, sum_period) {
ptr <- .Call("wk_mass_index_new", ema_period, sum_period, PACKAGE = "wickra")
.wk_obj("mass_index", ptr, "MassIndex")
}
#' MatHold indicator
#' @keywords internal
#' @export
MatHold <- function() {
ptr <- .Call("wk_mat_hold_new", PACKAGE = "wickra")
.wk_obj("mat_hold", ptr, "MatHold")
}
#' MatchingLow indicator
#' @keywords internal
#' @export
MatchingLow <- function() {
ptr <- .Call("wk_matching_low_new", PACKAGE = "wickra")
.wk_obj("matching_low", ptr, "MatchingLow")
}
#' MaxDrawdown indicator
#' @keywords internal
#' @export
MaxDrawdown <- function(period) {
ptr <- .Call("wk_max_drawdown_new", period, PACKAGE = "wickra")
.wk_obj("max_drawdown", ptr, "MaxDrawdown")
}
#' McClellanOscillator indicator
#' @keywords internal
#' @export
McClellanOscillator <- function() {
ptr <- .Call("wk_mc_clellan_oscillator_new", PACKAGE = "wickra")
.wk_obj("mc_clellan_oscillator", ptr, "McClellanOscillator")
}
#' McClellanSummationIndex indicator
#' @keywords internal
#' @export
McClellanSummationIndex <- function() {
ptr <- .Call("wk_mc_clellan_summation_index_new", PACKAGE = "wickra")
.wk_obj("mc_clellan_summation_index", ptr, "McClellanSummationIndex")
}
#' McGinleyDynamic indicator
#' @keywords internal
#' @export
McGinleyDynamic <- function(period) {
ptr <- .Call("wk_mc_ginley_dynamic_new", period, PACKAGE = "wickra")
.wk_obj("mc_ginley_dynamic", ptr, "McGinleyDynamic")
}
#' MedianAbsoluteDeviation indicator
#' @keywords internal
#' @export
MedianAbsoluteDeviation <- function(period) {
ptr <- .Call("wk_median_absolute_deviation_new", period, PACKAGE = "wickra")
.wk_obj("median_absolute_deviation", ptr, "MedianAbsoluteDeviation")
}
#' MedianChannel indicator
#' @keywords internal
#' @export
MedianChannel <- function(period, multiplier) {
ptr <- .Call("wk_median_channel_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("median_channel", ptr, "MedianChannel")
}
#' MedianMa indicator
#' @keywords internal
#' @export
MedianMa <- function(period) {
ptr <- .Call("wk_median_ma_new", period, PACKAGE = "wickra")
.wk_obj("median_ma", ptr, "MedianMa")
}
#' MedianPrice indicator
#' @keywords internal
#' @export
MedianPrice <- function() {
ptr <- .Call("wk_median_price_new", PACKAGE = "wickra")
.wk_obj("median_price", ptr, "MedianPrice")
}
#' Mfi indicator
#' @keywords internal
#' @export
Mfi <- function(period) {
ptr <- .Call("wk_mfi_new", period, PACKAGE = "wickra")
.wk_obj("mfi", ptr, "Mfi")
}
#' Microprice indicator
#' @keywords internal
#' @export
Microprice <- function() {
ptr <- .Call("wk_microprice_new", PACKAGE = "wickra")
.wk_obj("microprice", ptr, "Microprice")
}
#' MidPoint indicator
#' @keywords internal
#' @export
MidPoint <- function(period) {
ptr <- .Call("wk_mid_point_new", period, PACKAGE = "wickra")
.wk_obj("mid_point", ptr, "MidPoint")
}
#' MidPrice indicator
#' @keywords internal
#' @export
MidPrice <- function(period) {
ptr <- .Call("wk_mid_price_new", period, PACKAGE = "wickra")
.wk_obj("mid_price", ptr, "MidPrice")
}
#' MinusDi indicator
#' @keywords internal
#' @export
MinusDi <- function(period) {
ptr <- .Call("wk_minus_di_new", period, PACKAGE = "wickra")
.wk_obj("minus_di", ptr, "MinusDi")
}
#' MinusDm indicator
#' @keywords internal
#' @export
MinusDm <- function(period) {
ptr <- .Call("wk_minus_dm_new", period, PACKAGE = "wickra")
.wk_obj("minus_dm", ptr, "MinusDm")
}
#' ModifiedMaStop indicator
#' @keywords internal
#' @export
ModifiedMaStop <- function(period) {
ptr <- .Call("wk_modified_ma_stop_new", period, PACKAGE = "wickra")
.wk_obj("modified_ma_stop", ptr, "ModifiedMaStop")
}
#' Mom indicator
#' @keywords internal
#' @export
Mom <- function(period) {
ptr <- .Call("wk_mom_new", period, PACKAGE = "wickra")
.wk_obj("mom", ptr, "Mom")
}
#' MorningDojiStar indicator
#' @keywords internal
#' @export
MorningDojiStar <- function() {
ptr <- .Call("wk_morning_doji_star_new", PACKAGE = "wickra")
.wk_obj("morning_doji_star", ptr, "MorningDojiStar")
}
#' MorningEveningStar indicator
#' @keywords internal
#' @export
MorningEveningStar <- function() {
ptr <- .Call("wk_morning_evening_star_new", PACKAGE = "wickra")
.wk_obj("morning_evening_star", ptr, "MorningEveningStar")
}
#' MurreyMathLines indicator
#' @keywords internal
#' @export
MurreyMathLines <- function(period) {
ptr <- .Call("wk_murrey_math_lines_new", period, PACKAGE = "wickra")
.wk_obj("murrey_math_lines", ptr, "MurreyMathLines")
}
#' NakedPoc indicator
#' @keywords internal
#' @export
NakedPoc <- function(session_len, bins) {
ptr <- .Call("wk_naked_poc_new", session_len, bins, PACKAGE = "wickra")
.wk_obj("naked_poc", ptr, "NakedPoc")
}
#' Natr indicator
#' @keywords internal
#' @export
Natr <- function(period) {
ptr <- .Call("wk_natr_new", period, PACKAGE = "wickra")
.wk_obj("natr", ptr, "Natr")
}
#' NewHighsNewLows indicator
#' @keywords internal
#' @export
NewHighsNewLows <- function() {
ptr <- .Call("wk_new_highs_new_lows_new", PACKAGE = "wickra")
.wk_obj("new_highs_new_lows", ptr, "NewHighsNewLows")
}
#' NewPriceLines indicator
#' @keywords internal
#' @export
NewPriceLines <- function(count) {
ptr <- .Call("wk_new_price_lines_new", count, PACKAGE = "wickra")
.wk_obj("new_price_lines", ptr, "NewPriceLines")
}
#' Nrtr indicator
#' @keywords internal
#' @export
Nrtr <- function(pct) {
ptr <- .Call("wk_nrtr_new", pct, PACKAGE = "wickra")
.wk_obj("nrtr", ptr, "Nrtr")
}
#' Nvi indicator
#' @keywords internal
#' @export
Nvi <- function() {
ptr <- .Call("wk_nvi_new", PACKAGE = "wickra")
.wk_obj("nvi", ptr, "Nvi")
}
#' Obv indicator
#' @keywords internal
#' @export
Obv <- function() {
ptr <- .Call("wk_obv_new", PACKAGE = "wickra")
.wk_obj("obv", ptr, "Obv")
}
#' OIPriceDivergence indicator
#' @keywords internal
#' @export
OIPriceDivergence <- function(window) {
ptr <- .Call("wk_oi_price_divergence_new", window, PACKAGE = "wickra")
.wk_obj("oi_price_divergence", ptr, "OIPriceDivergence")
}
#' OiToVolumeRatio indicator
#' @keywords internal
#' @export
OiToVolumeRatio <- function() {
ptr <- .Call("wk_oi_to_volume_ratio_new", PACKAGE = "wickra")
.wk_obj("oi_to_volume_ratio", ptr, "OiToVolumeRatio")
}
#' OIWeighted indicator
#' @keywords internal
#' @export
OIWeighted <- function() {
ptr <- .Call("wk_oi_weighted_new", PACKAGE = "wickra")
.wk_obj("oi_weighted", ptr, "OIWeighted")
}
#' OmegaRatio indicator
#' @keywords internal
#' @export
OmegaRatio <- function(period, threshold) {
ptr <- .Call("wk_omega_ratio_new", period, threshold, PACKAGE = "wickra")
.wk_obj("omega_ratio", ptr, "OmegaRatio")
}
#' OnNeck indicator
#' @keywords internal
#' @export
OnNeck <- function() {
ptr <- .Call("wk_on_neck_new", PACKAGE = "wickra")
.wk_obj("on_neck", ptr, "OnNeck")
}
#' OpenInterestDelta indicator
#' @keywords internal
#' @export
OpenInterestDelta <- function() {
ptr <- .Call("wk_open_interest_delta_new", PACKAGE = "wickra")
.wk_obj("open_interest_delta", ptr, "OpenInterestDelta")
}
#' OpenInterestMomentum indicator
#' @keywords internal
#' @export
OpenInterestMomentum <- function(period) {
ptr <- .Call("wk_open_interest_momentum_new", period, PACKAGE = "wickra")
.wk_obj("open_interest_momentum", ptr, "OpenInterestMomentum")
}
#' OpeningMarubozu indicator
#' @keywords internal
#' @export
OpeningMarubozu <- function() {
ptr <- .Call("wk_opening_marubozu_new", PACKAGE = "wickra")
.wk_obj("opening_marubozu", ptr, "OpeningMarubozu")
}
#' OpeningRange indicator
#' @keywords internal
#' @export
OpeningRange <- function(period) {
ptr <- .Call("wk_opening_range_new", period, PACKAGE = "wickra")
.wk_obj("opening_range", ptr, "OpeningRange")
}
#' OrderBookImbalanceFull indicator
#' @keywords internal
#' @export
OrderBookImbalanceFull <- function() {
ptr <- .Call("wk_order_book_imbalance_full_new", PACKAGE = "wickra")
.wk_obj("order_book_imbalance_full", ptr, "OrderBookImbalanceFull")
}
#' OrderBookImbalanceTop1 indicator
#' @keywords internal
#' @export
OrderBookImbalanceTop1 <- function() {
ptr <- .Call("wk_order_book_imbalance_top1_new", PACKAGE = "wickra")
.wk_obj("order_book_imbalance_top1", ptr, "OrderBookImbalanceTop1")
}
#' OrderBookImbalanceTopN indicator
#' @keywords internal
#' @export
OrderBookImbalanceTopN <- function(levels) {
ptr <- .Call("wk_order_book_imbalance_top_n_new", levels, PACKAGE = "wickra")
.wk_obj("order_book_imbalance_top_n", ptr, "OrderBookImbalanceTopN")
}
#' OrderFlowImbalance indicator
#' @keywords internal
#' @export
OrderFlowImbalance <- function(period) {
ptr <- .Call("wk_order_flow_imbalance_new", period, PACKAGE = "wickra")
.wk_obj("order_flow_imbalance", ptr, "OrderFlowImbalance")
}
#' OuHalfLife indicator
#' @keywords internal
#' @export
OuHalfLife <- function(period) {
ptr <- .Call("wk_ou_half_life_new", period, PACKAGE = "wickra")
.wk_obj("ou_half_life", ptr, "OuHalfLife")
}
#' OvernightGap indicator
#' @keywords internal
#' @export
OvernightGap <- function(utc_offset_minutes) {
ptr <- .Call("wk_overnight_gap_new", utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("overnight_gap", ptr, "OvernightGap")
}
#' OvernightIntradayReturn indicator
#' @keywords internal
#' @export
OvernightIntradayReturn <- function(utc_offset_minutes) {
ptr <- .Call("wk_overnight_intraday_return_new", utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("overnight_intraday_return", ptr, "OvernightIntradayReturn")
}
#' PainIndex indicator
#' @keywords internal
#' @export
PainIndex <- function(period) {
ptr <- .Call("wk_pain_index_new", period, PACKAGE = "wickra")
.wk_obj("pain_index", ptr, "PainIndex")
}
#' PairSpreadZScore indicator
#' @keywords internal
#' @export
PairSpreadZScore <- function(beta_period, z_period) {
ptr <- .Call("wk_pair_spread_z_score_new", beta_period, z_period, PACKAGE = "wickra")
.wk_obj("pair_spread_z_score", ptr, "PairSpreadZScore")
}
#' PairwiseBeta indicator
#' @keywords internal
#' @export
PairwiseBeta <- function(period) {
ptr <- .Call("wk_pairwise_beta_new", period, PACKAGE = "wickra")
.wk_obj("pairwise_beta", ptr, "PairwiseBeta")
}
#' ParkinsonVolatility indicator
#' @keywords internal
#' @export
ParkinsonVolatility <- function(period, trading_periods) {
ptr <- .Call("wk_parkinson_volatility_new", period, trading_periods, PACKAGE = "wickra")
.wk_obj("parkinson_volatility", ptr, "ParkinsonVolatility")
}
#' PearsonCorrelation indicator
#' @keywords internal
#' @export
PearsonCorrelation <- function(period) {
ptr <- .Call("wk_pearson_correlation_new", period, PACKAGE = "wickra")
.wk_obj("pearson_correlation", ptr, "PearsonCorrelation")
}
#' PercentAboveMa indicator
#' @keywords internal
#' @export
PercentAboveMa <- function() {
ptr <- .Call("wk_percent_above_ma_new", PACKAGE = "wickra")
.wk_obj("percent_above_ma", ptr, "PercentAboveMa")
}
#' PercentB indicator
#' @keywords internal
#' @export
PercentB <- function(period, multiplier) {
ptr <- .Call("wk_percent_b_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("percent_b", ptr, "PercentB")
}
#' PercentageTrailingStop indicator
#' @keywords internal
#' @export
PercentageTrailingStop <- function(percent) {
ptr <- .Call("wk_percentage_trailing_stop_new", percent, PACKAGE = "wickra")
.wk_obj("percentage_trailing_stop", ptr, "PercentageTrailingStop")
}
#' PerpetualPremiumIndex indicator
#' @keywords internal
#' @export
PerpetualPremiumIndex <- function() {
ptr <- .Call("wk_perpetual_premium_index_new", PACKAGE = "wickra")
.wk_obj("perpetual_premium_index", ptr, "PerpetualPremiumIndex")
}
#' Pgo indicator
#' @keywords internal
#' @export
Pgo <- function(period) {
ptr <- .Call("wk_pgo_new", period, PACKAGE = "wickra")
.wk_obj("pgo", ptr, "Pgo")
}
#' PiercingDarkCloud indicator
#' @keywords internal
#' @export
PiercingDarkCloud <- function() {
ptr <- .Call("wk_piercing_dark_cloud_new", PACKAGE = "wickra")
.wk_obj("piercing_dark_cloud", ptr, "PiercingDarkCloud")
}
#' Pin indicator
#' @keywords internal
#' @export
Pin <- function(window) {
ptr <- .Call("wk_pin_new", window, PACKAGE = "wickra")
.wk_obj("pin", ptr, "Pin")
}
#' PivotReversal indicator
#' @keywords internal
#' @export
PivotReversal <- function(left, right) {
ptr <- .Call("wk_pivot_reversal_new", left, right, PACKAGE = "wickra")
.wk_obj("pivot_reversal", ptr, "PivotReversal")
}
#' PlusDi indicator
#' @keywords internal
#' @export
PlusDi <- function(period) {
ptr <- .Call("wk_plus_di_new", period, PACKAGE = "wickra")
.wk_obj("plus_di", ptr, "PlusDi")
}
#' PlusDm indicator
#' @keywords internal
#' @export
PlusDm <- function(period) {
ptr <- .Call("wk_plus_dm_new", period, PACKAGE = "wickra")
.wk_obj("plus_dm", ptr, "PlusDm")
}
#' Pmo indicator
#' @keywords internal
#' @export
Pmo <- function(smoothing1, smoothing2) {
ptr <- .Call("wk_pmo_new", smoothing1, smoothing2, PACKAGE = "wickra")
.wk_obj("pmo", ptr, "Pmo")
}
#' PointAndFigureBars indicator
#' @keywords internal
#' @export
PointAndFigureBars <- function(box_size, reversal) {
ptr <- .Call("wk_point_and_figure_bars_new", box_size, reversal, PACKAGE = "wickra")
.wk_obj("point_and_figure_bars", ptr, "PointAndFigureBars")
}
#' PolarizedFractalEfficiency indicator
#' @keywords internal
#' @export
PolarizedFractalEfficiency <- function(period, smoothing) {
ptr <- .Call("wk_polarized_fractal_efficiency_new", period, smoothing, PACKAGE = "wickra")
.wk_obj("polarized_fractal_efficiency", ptr, "PolarizedFractalEfficiency")
}
#' Ppo indicator
#' @keywords internal
#' @export
Ppo <- function(fast, slow) {
ptr <- .Call("wk_ppo_new", fast, slow, PACKAGE = "wickra")
.wk_obj("ppo", ptr, "Ppo")
}
#' PpoHistogram indicator
#' @keywords internal
#' @export
PpoHistogram <- function(fast, slow, signal) {
ptr <- .Call("wk_ppo_histogram_new", fast, slow, signal, PACKAGE = "wickra")
.wk_obj("ppo_histogram", ptr, "PpoHistogram")
}
#' ProfileShape indicator
#' @keywords internal
#' @export
ProfileShape <- function(period, bins) {
ptr <- .Call("wk_profile_shape_new", period, bins, PACKAGE = "wickra")
.wk_obj("profile_shape", ptr, "ProfileShape")
}
#' ProfitFactor indicator
#' @keywords internal
#' @export
ProfitFactor <- function(period) {
ptr <- .Call("wk_profit_factor_new", period, PACKAGE = "wickra")
.wk_obj("profit_factor", ptr, "ProfitFactor")
}
#' ProjectionBands indicator
#' @keywords internal
#' @export
ProjectionBands <- function(period) {
ptr <- .Call("wk_projection_bands_new", period, PACKAGE = "wickra")
.wk_obj("projection_bands", ptr, "ProjectionBands")
}
#' ProjectionOscillator indicator
#' @keywords internal
#' @export
ProjectionOscillator <- function(period) {
ptr <- .Call("wk_projection_oscillator_new", period, PACKAGE = "wickra")
.wk_obj("projection_oscillator", ptr, "ProjectionOscillator")
}
#' Psar indicator
#' @keywords internal
#' @export
Psar <- function(af_start, af_step, af_max) {
ptr <- .Call("wk_psar_new", af_start, af_step, af_max, PACKAGE = "wickra")
.wk_obj("psar", ptr, "Psar")
}
#' Pvi indicator
#' @keywords internal
#' @export
Pvi <- function() {
ptr <- .Call("wk_pvi_new", PACKAGE = "wickra")
.wk_obj("pvi", ptr, "Pvi")
}
#' Qqe indicator
#' @keywords internal
#' @export
Qqe <- function(rsi_period, smoothing, factor) {
ptr <- .Call("wk_qqe_new", rsi_period, smoothing, factor, PACKAGE = "wickra")
.wk_obj("qqe", ptr, "Qqe")
}
#' Qstick indicator
#' @keywords internal
#' @export
Qstick <- function(period) {
ptr <- .Call("wk_qstick_new", period, PACKAGE = "wickra")
.wk_obj("qstick", ptr, "Qstick")
}
#' QuartileBands indicator
#' @keywords internal
#' @export
QuartileBands <- function(period) {
ptr <- .Call("wk_quartile_bands_new", period, PACKAGE = "wickra")
.wk_obj("quartile_bands", ptr, "QuartileBands")
}
#' QuotedSpread indicator
#' @keywords internal
#' @export
QuotedSpread <- function() {
ptr <- .Call("wk_quoted_spread_new", PACKAGE = "wickra")
.wk_obj("quoted_spread", ptr, "QuotedSpread")
}
#' RSquared indicator
#' @keywords internal
#' @export
RSquared <- function(period) {
ptr <- .Call("wk_r_squared_new", period, PACKAGE = "wickra")
.wk_obj("r_squared", ptr, "RSquared")
}
#' RangeBars indicator
#' @keywords internal
#' @export
RangeBars <- function(range) {
ptr <- .Call("wk_range_bars_new", range, PACKAGE = "wickra")
.wk_obj("range_bars", ptr, "RangeBars")
}
#' RealizedSpread indicator
#' @keywords internal
#' @export
RealizedSpread <- function(horizon) {
ptr <- .Call("wk_realized_spread_new", horizon, PACKAGE = "wickra")
.wk_obj("realized_spread", ptr, "RealizedSpread")
}
#' RealizedVolatility indicator
#' @keywords internal
#' @export
RealizedVolatility <- function(period) {
ptr <- .Call("wk_realized_volatility_new", period, PACKAGE = "wickra")
.wk_obj("realized_volatility", ptr, "RealizedVolatility")
}
#' RecoveryFactor indicator
#' @keywords internal
#' @export
RecoveryFactor <- function() {
ptr <- .Call("wk_recovery_factor_new", PACKAGE = "wickra")
.wk_obj("recovery_factor", ptr, "RecoveryFactor")
}
#' RectangleRange indicator
#' @keywords internal
#' @export
RectangleRange <- function() {
ptr <- .Call("wk_rectangle_range_new", PACKAGE = "wickra")
.wk_obj("rectangle_range", ptr, "RectangleRange")
}
#' Reflex indicator
#' @keywords internal
#' @export
Reflex <- function(period) {
ptr <- .Call("wk_reflex_new", period, PACKAGE = "wickra")
.wk_obj("reflex", ptr, "Reflex")
}
#' RegimeLabel indicator
#' @keywords internal
#' @export
RegimeLabel <- function(vol_period, lookback) {
ptr <- .Call("wk_regime_label_new", vol_period, lookback, PACKAGE = "wickra")
.wk_obj("regime_label", ptr, "RegimeLabel")
}
#' RelativeStrengthAB indicator
#' @keywords internal
#' @export
RelativeStrengthAB <- function(ma_period, rsi_period) {
ptr <- .Call("wk_relative_strength_ab_new", ma_period, rsi_period, PACKAGE = "wickra")
.wk_obj("relative_strength_ab", ptr, "RelativeStrengthAB")
}
#' RenkoBars indicator
#' @keywords internal
#' @export
RenkoBars <- function(box_size) {
ptr <- .Call("wk_renko_bars_new", box_size, PACKAGE = "wickra")
.wk_obj("renko_bars", ptr, "RenkoBars")
}
#' RenkoTrailingStop indicator
#' @keywords internal
#' @export
RenkoTrailingStop <- function(block_size) {
ptr <- .Call("wk_renko_trailing_stop_new", block_size, PACKAGE = "wickra")
.wk_obj("renko_trailing_stop", ptr, "RenkoTrailingStop")
}
#' RickshawMan indicator
#' @keywords internal
#' @export
RickshawMan <- function() {
ptr <- .Call("wk_rickshaw_man_new", PACKAGE = "wickra")
.wk_obj("rickshaw_man", ptr, "RickshawMan")
}
#' RisingThreeMethods indicator
#' @keywords internal
#' @export
RisingThreeMethods <- function() {
ptr <- .Call("wk_rising_three_methods_new", PACKAGE = "wickra")
.wk_obj("rising_three_methods", ptr, "RisingThreeMethods")
}
#' Rmi indicator
#' @keywords internal
#' @export
Rmi <- function(period, momentum) {
ptr <- .Call("wk_rmi_new", period, momentum, PACKAGE = "wickra")
.wk_obj("rmi", ptr, "Rmi")
}
#' Roc indicator
#' @keywords internal
#' @export
Roc <- function(period) {
ptr <- .Call("wk_roc_new", period, PACKAGE = "wickra")
.wk_obj("roc", ptr, "Roc")
}
#' Rocp indicator
#' @keywords internal
#' @export
Rocp <- function(period) {
ptr <- .Call("wk_rocp_new", period, PACKAGE = "wickra")
.wk_obj("rocp", ptr, "Rocp")
}
#' Rocr indicator
#' @keywords internal
#' @export
Rocr <- function(period) {
ptr <- .Call("wk_rocr_new", period, PACKAGE = "wickra")
.wk_obj("rocr", ptr, "Rocr")
}
#' Rocr100 indicator
#' @keywords internal
#' @export
Rocr100 <- function(period) {
ptr <- .Call("wk_rocr100_new", period, PACKAGE = "wickra")
.wk_obj("rocr100", ptr, "Rocr100")
}
#' RogersSatchellVolatility indicator
#' @keywords internal
#' @export
RogersSatchellVolatility <- function(period, trading_periods) {
ptr <- .Call("wk_rogers_satchell_volatility_new", period, trading_periods, PACKAGE = "wickra")
.wk_obj("rogers_satchell_volatility", ptr, "RogersSatchellVolatility")
}
#' RollMeasure indicator
#' @keywords internal
#' @export
RollMeasure <- function(period) {
ptr <- .Call("wk_roll_measure_new", period, PACKAGE = "wickra")
.wk_obj("roll_measure", ptr, "RollMeasure")
}
#' RollingCorrelation indicator
#' @keywords internal
#' @export
RollingCorrelation <- function(period) {
ptr <- .Call("wk_rolling_correlation_new", period, PACKAGE = "wickra")
.wk_obj("rolling_correlation", ptr, "RollingCorrelation")
}
#' RollingCovariance indicator
#' @keywords internal
#' @export
RollingCovariance <- function(period) {
ptr <- .Call("wk_rolling_covariance_new", period, PACKAGE = "wickra")
.wk_obj("rolling_covariance", ptr, "RollingCovariance")
}
#' RollingIqr indicator
#' @keywords internal
#' @export
RollingIqr <- function(period) {
ptr <- .Call("wk_rolling_iqr_new", period, PACKAGE = "wickra")
.wk_obj("rolling_iqr", ptr, "RollingIqr")
}
#' RollingMinMaxScaler indicator
#' @keywords internal
#' @export
RollingMinMaxScaler <- function(period) {
ptr <- .Call("wk_rolling_min_max_scaler_new", period, PACKAGE = "wickra")
.wk_obj("rolling_min_max_scaler", ptr, "RollingMinMaxScaler")
}
#' RollingPercentileRank indicator
#' @keywords internal
#' @export
RollingPercentileRank <- function(period) {
ptr <- .Call("wk_rolling_percentile_rank_new", period, PACKAGE = "wickra")
.wk_obj("rolling_percentile_rank", ptr, "RollingPercentileRank")
}
#' RollingQuantile indicator
#' @keywords internal
#' @export
RollingQuantile <- function(period, quantile) {
ptr <- .Call("wk_rolling_quantile_new", period, quantile, PACKAGE = "wickra")
.wk_obj("rolling_quantile", ptr, "RollingQuantile")
}
#' RollingVwap indicator
#' @keywords internal
#' @export
RollingVwap <- function(period) {
ptr <- .Call("wk_rolling_vwap_new", period, PACKAGE = "wickra")
.wk_obj("rolling_vwap", ptr, "RollingVwap")
}
#' RoofingFilter indicator
#' @keywords internal
#' @export
RoofingFilter <- function(lp_period, hp_period) {
ptr <- .Call("wk_roofing_filter_new", lp_period, hp_period, PACKAGE = "wickra")
.wk_obj("roofing_filter", ptr, "RoofingFilter")
}
#' Rsi indicator
#' @keywords internal
#' @export
Rsi <- function(period) {
ptr <- .Call("wk_rsi_new", period, PACKAGE = "wickra")
.wk_obj("rsi", ptr, "Rsi")
}
#' Rsx indicator
#' @keywords internal
#' @export
Rsx <- function(length) {
ptr <- .Call("wk_rsx_new", length, PACKAGE = "wickra")
.wk_obj("rsx", ptr, "Rsx")
}
#' RunBars indicator
#' @keywords internal
#' @export
RunBars <- function(run_length) {
ptr <- .Call("wk_run_bars_new", run_length, PACKAGE = "wickra")
.wk_obj("run_bars", ptr, "RunBars")
}
#' Rvi indicator
#' @keywords internal
#' @export
Rvi <- function(period) {
ptr <- .Call("wk_rvi_new", period, PACKAGE = "wickra")
.wk_obj("rvi", ptr, "Rvi")
}
#' RviVolatility indicator
#' @keywords internal
#' @export
RviVolatility <- function(period) {
ptr <- .Call("wk_rvi_volatility_new", period, PACKAGE = "wickra")
.wk_obj("rvi_volatility", ptr, "RviVolatility")
}
#' Rwi indicator
#' @keywords internal
#' @export
Rwi <- function(period) {
ptr <- .Call("wk_rwi_new", period, PACKAGE = "wickra")
.wk_obj("rwi", ptr, "Rwi")
}
#' SampleEntropy indicator
#' @keywords internal
#' @export
SampleEntropy <- function(period, m, r_factor) {
ptr <- .Call("wk_sample_entropy_new", period, m, r_factor, PACKAGE = "wickra")
.wk_obj("sample_entropy", ptr, "SampleEntropy")
}
#' SarExt indicator
#' @keywords internal
#' @export
SarExt <- function(start_value, offset_on_reverse, accel_init_long, accel_long, accel_max_long, accel_init_short, accel_short, accel_max_short) {
ptr <- .Call("wk_sar_ext_new", start_value, offset_on_reverse, accel_init_long, accel_long, accel_max_long, accel_init_short, accel_short, accel_max_short, PACKAGE = "wickra")
.wk_obj("sar_ext", ptr, "SarExt")
}
#' SeasonalZScore indicator
#' @keywords internal
#' @export
SeasonalZScore <- function(utc_offset_minutes) {
ptr <- .Call("wk_seasonal_z_score_new", utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("seasonal_z_score", ptr, "SeasonalZScore")
}
#' SeparatingLines indicator
#' @keywords internal
#' @export
SeparatingLines <- function() {
ptr <- .Call("wk_separating_lines_new", PACKAGE = "wickra")
.wk_obj("separating_lines", ptr, "SeparatingLines")
}
#' SessionHighLow indicator
#' @keywords internal
#' @export
SessionHighLow <- function(utc_offset_minutes) {
ptr <- .Call("wk_session_high_low_new", utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("session_high_low", ptr, "SessionHighLow")
}
#' SessionRange indicator
#' @keywords internal
#' @export
SessionRange <- function(utc_offset_minutes) {
ptr <- .Call("wk_session_range_new", utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("session_range", ptr, "SessionRange")
}
#' SessionVwap indicator
#' @keywords internal
#' @export
SessionVwap <- function(utc_offset_minutes) {
ptr <- .Call("wk_session_vwap_new", utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("session_vwap", ptr, "SessionVwap")
}
#' ShannonEntropy indicator
#' @keywords internal
#' @export
ShannonEntropy <- function(period, bins) {
ptr <- .Call("wk_shannon_entropy_new", period, bins, PACKAGE = "wickra")
.wk_obj("shannon_entropy", ptr, "ShannonEntropy")
}
#' Shark indicator
#' @keywords internal
#' @export
Shark <- function() {
ptr <- .Call("wk_shark_new", PACKAGE = "wickra")
.wk_obj("shark", ptr, "Shark")
}
#' SharpeRatio indicator
#' @keywords internal
#' @export
SharpeRatio <- function(period, risk_free) {
ptr <- .Call("wk_sharpe_ratio_new", period, risk_free, PACKAGE = "wickra")
.wk_obj("sharpe_ratio", ptr, "SharpeRatio")
}
#' ShootingStar indicator
#' @keywords internal
#' @export
ShootingStar <- function() {
ptr <- .Call("wk_shooting_star_new", PACKAGE = "wickra")
.wk_obj("shooting_star", ptr, "ShootingStar")
}
#' ShortLine indicator
#' @keywords internal
#' @export
ShortLine <- function() {
ptr <- .Call("wk_short_line_new", PACKAGE = "wickra")
.wk_obj("short_line", ptr, "ShortLine")
}
#' SignedVolume indicator
#' @keywords internal
#' @export
SignedVolume <- function() {
ptr <- .Call("wk_signed_volume_new", PACKAGE = "wickra")
.wk_obj("signed_volume", ptr, "SignedVolume")
}
#' SineWave indicator
#' @keywords internal
#' @export
SineWave <- function() {
ptr <- .Call("wk_sine_wave_new", PACKAGE = "wickra")
.wk_obj("sine_wave", ptr, "SineWave")
}
#' SineWeightedMa indicator
#' @keywords internal
#' @export
SineWeightedMa <- function(period) {
ptr <- .Call("wk_sine_weighted_ma_new", period, PACKAGE = "wickra")
.wk_obj("sine_weighted_ma", ptr, "SineWeightedMa")
}
#' SinglePrints indicator
#' @keywords internal
#' @export
SinglePrints <- function(period, bins) {
ptr <- .Call("wk_single_prints_new", period, bins, PACKAGE = "wickra")
.wk_obj("single_prints", ptr, "SinglePrints")
}
#' Skewness indicator
#' @keywords internal
#' @export
Skewness <- function(period) {
ptr <- .Call("wk_skewness_new", period, PACKAGE = "wickra")
.wk_obj("skewness", ptr, "Skewness")
}
#' Sma indicator
#' @keywords internal
#' @export
Sma <- function(period) {
ptr <- .Call("wk_sma_new", period, PACKAGE = "wickra")
.wk_obj("sma", ptr, "Sma")
}
#' Smi indicator
#' @keywords internal
#' @export
Smi <- function(period, d_period, d2_period) {
ptr <- .Call("wk_smi_new", period, d_period, d2_period, PACKAGE = "wickra")
.wk_obj("smi", ptr, "Smi")
}
#' Smma indicator
#' @keywords internal
#' @export
Smma <- function(period) {
ptr <- .Call("wk_smma_new", period, PACKAGE = "wickra")
.wk_obj("smma", ptr, "Smma")
}
#' SmoothedHeikinAshi indicator
#' @keywords internal
#' @export
SmoothedHeikinAshi <- function(period) {
ptr <- .Call("wk_smoothed_heikin_ashi_new", period, PACKAGE = "wickra")
.wk_obj("smoothed_heikin_ashi", ptr, "SmoothedHeikinAshi")
}
#' SortinoRatio indicator
#' @keywords internal
#' @export
SortinoRatio <- function(period, mar) {
ptr <- .Call("wk_sortino_ratio_new", period, mar, PACKAGE = "wickra")
.wk_obj("sortino_ratio", ptr, "SortinoRatio")
}
#' SpearmanCorrelation indicator
#' @keywords internal
#' @export
SpearmanCorrelation <- function(period) {
ptr <- .Call("wk_spearman_correlation_new", period, PACKAGE = "wickra")
.wk_obj("spearman_correlation", ptr, "SpearmanCorrelation")
}
#' SpinningTop indicator
#' @keywords internal
#' @export
SpinningTop <- function() {
ptr <- .Call("wk_spinning_top_new", PACKAGE = "wickra")
.wk_obj("spinning_top", ptr, "SpinningTop")
}
#' SpreadAr1Coefficient indicator
#' @keywords internal
#' @export
SpreadAr1Coefficient <- function(period) {
ptr <- .Call("wk_spread_ar1_coefficient_new", period, PACKAGE = "wickra")
.wk_obj("spread_ar1_coefficient", ptr, "SpreadAr1Coefficient")
}
#' SpreadBollingerBands indicator
#' @keywords internal
#' @export
SpreadBollingerBands <- function(period, num_std) {
ptr <- .Call("wk_spread_bollinger_bands_new", period, num_std, PACKAGE = "wickra")
.wk_obj("spread_bollinger_bands", ptr, "SpreadBollingerBands")
}
#' SpreadHurst indicator
#' @keywords internal
#' @export
SpreadHurst <- function(period) {
ptr <- .Call("wk_spread_hurst_new", period, PACKAGE = "wickra")
.wk_obj("spread_hurst", ptr, "SpreadHurst")
}
#' StalledPattern indicator
#' @keywords internal
#' @export
StalledPattern <- function() {
ptr <- .Call("wk_stalled_pattern_new", PACKAGE = "wickra")
.wk_obj("stalled_pattern", ptr, "StalledPattern")
}
#' StandardError indicator
#' @keywords internal
#' @export
StandardError <- function(period) {
ptr <- .Call("wk_standard_error_new", period, PACKAGE = "wickra")
.wk_obj("standard_error", ptr, "StandardError")
}
#' StandardErrorBands indicator
#' @keywords internal
#' @export
StandardErrorBands <- function(period, multiplier) {
ptr <- .Call("wk_standard_error_bands_new", period, multiplier, PACKAGE = "wickra")
.wk_obj("standard_error_bands", ptr, "StandardErrorBands")
}
#' StarcBands indicator
#' @keywords internal
#' @export
StarcBands <- function(sma_period, atr_period, multiplier) {
ptr <- .Call("wk_starc_bands_new", sma_period, atr_period, multiplier, PACKAGE = "wickra")
.wk_obj("starc_bands", ptr, "StarcBands")
}
#' Stc indicator
#' @keywords internal
#' @export
Stc <- function(fast, slow, schaff_period, factor) {
ptr <- .Call("wk_stc_new", fast, slow, schaff_period, factor, PACKAGE = "wickra")
.wk_obj("stc", ptr, "Stc")
}
#' StdDev indicator
#' @keywords internal
#' @export
StdDev <- function(period) {
ptr <- .Call("wk_std_dev_new", period, PACKAGE = "wickra")
.wk_obj("std_dev", ptr, "StdDev")
}
#' StepTrailingStop indicator
#' @keywords internal
#' @export
StepTrailingStop <- function(step_size) {
ptr <- .Call("wk_step_trailing_stop_new", step_size, PACKAGE = "wickra")
.wk_obj("step_trailing_stop", ptr, "StepTrailingStop")
}
#' SterlingRatio indicator
#' @keywords internal
#' @export
SterlingRatio <- function(period) {
ptr <- .Call("wk_sterling_ratio_new", period, PACKAGE = "wickra")
.wk_obj("sterling_ratio", ptr, "SterlingRatio")
}
#' StickSandwich indicator
#' @keywords internal
#' @export
StickSandwich <- function() {
ptr <- .Call("wk_stick_sandwich_new", PACKAGE = "wickra")
.wk_obj("stick_sandwich", ptr, "StickSandwich")
}
#' StochRsi indicator
#' @keywords internal
#' @export
StochRsi <- function(rsi_period, stoch_period) {
ptr <- .Call("wk_stoch_rsi_new", rsi_period, stoch_period, PACKAGE = "wickra")
.wk_obj("stoch_rsi", ptr, "StochRsi")
}
#' Stochastic indicator
#' @keywords internal
#' @export
Stochastic <- function(k_period, d_period) {
ptr <- .Call("wk_stochastic_new", k_period, d_period, PACKAGE = "wickra")
.wk_obj("stochastic", ptr, "Stochastic")
}
#' StochasticCci indicator
#' @keywords internal
#' @export
StochasticCci <- function(period) {
ptr <- .Call("wk_stochastic_cci_new", period, PACKAGE = "wickra")
.wk_obj("stochastic_cci", ptr, "StochasticCci")
}
#' SuperSmoother indicator
#' @keywords internal
#' @export
SuperSmoother <- function(period) {
ptr <- .Call("wk_super_smoother_new", period, PACKAGE = "wickra")
.wk_obj("super_smoother", ptr, "SuperSmoother")
}
#' SuperTrend indicator
#' @keywords internal
#' @export
SuperTrend <- function(atr_period, multiplier) {
ptr <- .Call("wk_super_trend_new", atr_period, multiplier, PACKAGE = "wickra")
.wk_obj("super_trend", ptr, "SuperTrend")
}
#' T3 indicator
#' @keywords internal
#' @export
T3 <- function(period, v) {
ptr <- .Call("wk_t3_new", period, v, PACKAGE = "wickra")
.wk_obj("t3", ptr, "T3")
}
#' TailRatio indicator
#' @keywords internal
#' @export
TailRatio <- function(period) {
ptr <- .Call("wk_tail_ratio_new", period, PACKAGE = "wickra")
.wk_obj("tail_ratio", ptr, "TailRatio")
}
#' TakerBuySellRatio indicator
#' @keywords internal
#' @export
TakerBuySellRatio <- function() {
ptr <- .Call("wk_taker_buy_sell_ratio_new", PACKAGE = "wickra")
.wk_obj("taker_buy_sell_ratio", ptr, "TakerBuySellRatio")
}
#' Takuri indicator
#' @keywords internal
#' @export
Takuri <- function() {
ptr <- .Call("wk_takuri_new", PACKAGE = "wickra")
.wk_obj("takuri", ptr, "Takuri")
}
#' TasukiGap indicator
#' @keywords internal
#' @export
TasukiGap <- function() {
ptr <- .Call("wk_tasuki_gap_new", PACKAGE = "wickra")
.wk_obj("tasuki_gap", ptr, "TasukiGap")
}
#' TdCamouflage indicator
#' @keywords internal
#' @export
TdCamouflage <- function() {
ptr <- .Call("wk_td_camouflage_new", PACKAGE = "wickra")
.wk_obj("td_camouflage", ptr, "TdCamouflage")
}
#' TdClop indicator
#' @keywords internal
#' @export
TdClop <- function() {
ptr <- .Call("wk_td_clop_new", PACKAGE = "wickra")
.wk_obj("td_clop", ptr, "TdClop")
}
#' TdClopwin indicator
#' @keywords internal
#' @export
TdClopwin <- function() {
ptr <- .Call("wk_td_clopwin_new", PACKAGE = "wickra")
.wk_obj("td_clopwin", ptr, "TdClopwin")
}
#' TdCombo indicator
#' @keywords internal
#' @export
TdCombo <- function(setup_lookback, setup_target, countdown_lookback, countdown_target) {
ptr <- .Call("wk_td_combo_new", setup_lookback, setup_target, countdown_lookback, countdown_target, PACKAGE = "wickra")
.wk_obj("td_combo", ptr, "TdCombo")
}
#' TdCountdown indicator
#' @keywords internal
#' @export
TdCountdown <- function(setup_lookback, setup_target, countdown_lookback, countdown_target) {
ptr <- .Call("wk_td_countdown_new", setup_lookback, setup_target, countdown_lookback, countdown_target, PACKAGE = "wickra")
.wk_obj("td_countdown", ptr, "TdCountdown")
}
#' TdDWave indicator
#' @keywords internal
#' @export
TdDWave <- function(strength) {
ptr <- .Call("wk_td_d_wave_new", strength, PACKAGE = "wickra")
.wk_obj("td_d_wave", ptr, "TdDWave")
}
#' TdDeMarker indicator
#' @keywords internal
#' @export
TdDeMarker <- function(period) {
ptr <- .Call("wk_td_de_marker_new", period, PACKAGE = "wickra")
.wk_obj("td_de_marker", ptr, "TdDeMarker")
}
#' TdDifferential indicator
#' @keywords internal
#' @export
TdDifferential <- function() {
ptr <- .Call("wk_td_differential_new", PACKAGE = "wickra")
.wk_obj("td_differential", ptr, "TdDifferential")
}
#' TdLines indicator
#' @keywords internal
#' @export
TdLines <- function(lookback, target) {
ptr <- .Call("wk_td_lines_new", lookback, target, PACKAGE = "wickra")
.wk_obj("td_lines", ptr, "TdLines")
}
#' TdMovingAverage indicator
#' @keywords internal
#' @export
TdMovingAverage <- function(period_st1, period_st2) {
ptr <- .Call("wk_td_moving_average_new", period_st1, period_st2, PACKAGE = "wickra")
.wk_obj("td_moving_average", ptr, "TdMovingAverage")
}
#' TdOpen indicator
#' @keywords internal
#' @export
TdOpen <- function() {
ptr <- .Call("wk_td_open_new", PACKAGE = "wickra")
.wk_obj("td_open", ptr, "TdOpen")
}
#' TdPressure indicator
#' @keywords internal
#' @export
TdPressure <- function(period) {
ptr <- .Call("wk_td_pressure_new", period, PACKAGE = "wickra")
.wk_obj("td_pressure", ptr, "TdPressure")
}
#' TdPropulsion indicator
#' @keywords internal
#' @export
TdPropulsion <- function() {
ptr <- .Call("wk_td_propulsion_new", PACKAGE = "wickra")
.wk_obj("td_propulsion", ptr, "TdPropulsion")
}
#' TdRangeProjection indicator
#' @keywords internal
#' @export
TdRangeProjection <- function() {
ptr <- .Call("wk_td_range_projection_new", PACKAGE = "wickra")
.wk_obj("td_range_projection", ptr, "TdRangeProjection")
}
#' TdRei indicator
#' @keywords internal
#' @export
TdRei <- function(period) {
ptr <- .Call("wk_td_rei_new", period, PACKAGE = "wickra")
.wk_obj("td_rei", ptr, "TdRei")
}
#' TdRiskLevel indicator
#' @keywords internal
#' @export
TdRiskLevel <- function(lookback, target) {
ptr <- .Call("wk_td_risk_level_new", lookback, target, PACKAGE = "wickra")
.wk_obj("td_risk_level", ptr, "TdRiskLevel")
}
#' TdSequential indicator
#' @keywords internal
#' @export
TdSequential <- function(setup_lookback, setup_target, countdown_lookback, countdown_target) {
ptr <- .Call("wk_td_sequential_new", setup_lookback, setup_target, countdown_lookback, countdown_target, PACKAGE = "wickra")
.wk_obj("td_sequential", ptr, "TdSequential")
}
#' TdSetup indicator
#' @keywords internal
#' @export
TdSetup <- function(lookback, target) {
ptr <- .Call("wk_td_setup_new", lookback, target, PACKAGE = "wickra")
.wk_obj("td_setup", ptr, "TdSetup")
}
#' TdTrap indicator
#' @keywords internal
#' @export
TdTrap <- function() {
ptr <- .Call("wk_td_trap_new", PACKAGE = "wickra")
.wk_obj("td_trap", ptr, "TdTrap")
}
#' Tema indicator
#' @keywords internal
#' @export
Tema <- function(period) {
ptr <- .Call("wk_tema_new", period, PACKAGE = "wickra")
.wk_obj("tema", ptr, "Tema")
}
#' TermStructureBasis indicator
#' @keywords internal
#' @export
TermStructureBasis <- function() {
ptr <- .Call("wk_term_structure_basis_new", PACKAGE = "wickra")
.wk_obj("term_structure_basis", ptr, "TermStructureBasis")
}
#' ThreeDrives indicator
#' @keywords internal
#' @export
ThreeDrives <- function() {
ptr <- .Call("wk_three_drives_new", PACKAGE = "wickra")
.wk_obj("three_drives", ptr, "ThreeDrives")
}
#' ThreeInside indicator
#' @keywords internal
#' @export
ThreeInside <- function() {
ptr <- .Call("wk_three_inside_new", PACKAGE = "wickra")
.wk_obj("three_inside", ptr, "ThreeInside")
}
#' ThreeLineBreak indicator
#' @keywords internal
#' @export
ThreeLineBreak <- function(lines) {
ptr <- .Call("wk_three_line_break_new", lines, PACKAGE = "wickra")
.wk_obj("three_line_break", ptr, "ThreeLineBreak")
}
#' ThreeLineBreakBars indicator
#' @keywords internal
#' @export
ThreeLineBreakBars <- function(lines) {
ptr <- .Call("wk_three_line_break_bars_new", lines, PACKAGE = "wickra")
.wk_obj("three_line_break_bars", ptr, "ThreeLineBreakBars")
}
#' ThreeLineStrike indicator
#' @keywords internal
#' @export
ThreeLineStrike <- function() {
ptr <- .Call("wk_three_line_strike_new", PACKAGE = "wickra")
.wk_obj("three_line_strike", ptr, "ThreeLineStrike")
}
#' ThreeOutside indicator
#' @keywords internal
#' @export
ThreeOutside <- function() {
ptr <- .Call("wk_three_outside_new", PACKAGE = "wickra")
.wk_obj("three_outside", ptr, "ThreeOutside")
}
#' ThreeSoldiersOrCrows indicator
#' @keywords internal
#' @export
ThreeSoldiersOrCrows <- function() {
ptr <- .Call("wk_three_soldiers_or_crows_new", PACKAGE = "wickra")
.wk_obj("three_soldiers_or_crows", ptr, "ThreeSoldiersOrCrows")
}
#' ThreeStarsInSouth indicator
#' @keywords internal
#' @export
ThreeStarsInSouth <- function() {
ptr <- .Call("wk_three_stars_in_south_new", PACKAGE = "wickra")
.wk_obj("three_stars_in_south", ptr, "ThreeStarsInSouth")
}
#' Thrusting indicator
#' @keywords internal
#' @export
Thrusting <- function() {
ptr <- .Call("wk_thrusting_new", PACKAGE = "wickra")
.wk_obj("thrusting", ptr, "Thrusting")
}
#' TickBars indicator
#' @keywords internal
#' @export
TickBars <- function(ticks) {
ptr <- .Call("wk_tick_bars_new", ticks, PACKAGE = "wickra")
.wk_obj("tick_bars", ptr, "TickBars")
}
#' TickIndex indicator
#' @keywords internal
#' @export
TickIndex <- function() {
ptr <- .Call("wk_tick_index_new", PACKAGE = "wickra")
.wk_obj("tick_index", ptr, "TickIndex")
}
#' Tii indicator
#' @keywords internal
#' @export
Tii <- function(sma_period, dev_period) {
ptr <- .Call("wk_tii_new", sma_period, dev_period, PACKAGE = "wickra")
.wk_obj("tii", ptr, "Tii")
}
#' TimeBasedStop indicator
#' @keywords internal
#' @export
TimeBasedStop <- function(max_bars) {
ptr <- .Call("wk_time_based_stop_new", max_bars, PACKAGE = "wickra")
.wk_obj("time_based_stop", ptr, "TimeBasedStop")
}
#' TimeOfDayReturnProfile indicator
#' @keywords internal
#' @export
TimeOfDayReturnProfile <- function(buckets, utc_offset_minutes) {
ptr <- .Call("wk_time_of_day_return_profile_new", buckets, utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("time_of_day_return_profile", ptr, "TimeOfDayReturnProfile", values_cap = as.integer(buckets))
}
#' TowerTopBottom indicator
#' @keywords internal
#' @export
TowerTopBottom <- function() {
ptr <- .Call("wk_tower_top_bottom_new", PACKAGE = "wickra")
.wk_obj("tower_top_bottom", ptr, "TowerTopBottom")
}
#' TpoProfile indicator
#' @keywords internal
#' @export
TpoProfile <- function(period, bin_count) {
ptr <- .Call("wk_tpo_profile_new", period, bin_count, PACKAGE = "wickra")
.wk_obj("tpo_profile", ptr, "TpoProfile", values_cap = as.integer(bin_count))
}
#' TradeImbalance indicator
#' @keywords internal
#' @export
TradeImbalance <- function(window) {
ptr <- .Call("wk_trade_imbalance_new", window, PACKAGE = "wickra")
.wk_obj("trade_imbalance", ptr, "TradeImbalance")
}
#' TradeSignAutocorrelation indicator
#' @keywords internal
#' @export
TradeSignAutocorrelation <- function(period) {
ptr <- .Call("wk_trade_sign_autocorrelation_new", period, PACKAGE = "wickra")
.wk_obj("trade_sign_autocorrelation", ptr, "TradeSignAutocorrelation")
}
#' TradeVolumeIndex indicator
#' @keywords internal
#' @export
TradeVolumeIndex <- function(min_tick) {
ptr <- .Call("wk_trade_volume_index_new", min_tick, PACKAGE = "wickra")
.wk_obj("trade_volume_index", ptr, "TradeVolumeIndex")
}
#' TrendLabel indicator
#' @keywords internal
#' @export
TrendLabel <- function(period) {
ptr <- .Call("wk_trend_label_new", period, PACKAGE = "wickra")
.wk_obj("trend_label", ptr, "TrendLabel")
}
#' TrendStrengthIndex indicator
#' @keywords internal
#' @export
TrendStrengthIndex <- function(period) {
ptr <- .Call("wk_trend_strength_index_new", period, PACKAGE = "wickra")
.wk_obj("trend_strength_index", ptr, "TrendStrengthIndex")
}
#' Trendflex indicator
#' @keywords internal
#' @export
Trendflex <- function(period) {
ptr <- .Call("wk_trendflex_new", period, PACKAGE = "wickra")
.wk_obj("trendflex", ptr, "Trendflex")
}
#' TreynorRatio indicator
#' @keywords internal
#' @export
TreynorRatio <- function(period, risk_free) {
ptr <- .Call("wk_treynor_ratio_new", period, risk_free, PACKAGE = "wickra")
.wk_obj("treynor_ratio", ptr, "TreynorRatio")
}
#' Triangle indicator
#' @keywords internal
#' @export
Triangle <- function() {
ptr <- .Call("wk_triangle_new", PACKAGE = "wickra")
.wk_obj("triangle", ptr, "Triangle")
}
#' Trima indicator
#' @keywords internal
#' @export
Trima <- function(period) {
ptr <- .Call("wk_trima_new", period, PACKAGE = "wickra")
.wk_obj("trima", ptr, "Trima")
}
#' Trin indicator
#' @keywords internal
#' @export
Trin <- function() {
ptr <- .Call("wk_trin_new", PACKAGE = "wickra")
.wk_obj("trin", ptr, "Trin")
}
#' TripleTopBottom indicator
#' @keywords internal
#' @export
TripleTopBottom <- function() {
ptr <- .Call("wk_triple_top_bottom_new", PACKAGE = "wickra")
.wk_obj("triple_top_bottom", ptr, "TripleTopBottom")
}
#' Tristar indicator
#' @keywords internal
#' @export
Tristar <- function() {
ptr <- .Call("wk_tristar_new", PACKAGE = "wickra")
.wk_obj("tristar", ptr, "Tristar")
}
#' Trix indicator
#' @keywords internal
#' @export
Trix <- function(period) {
ptr <- .Call("wk_trix_new", period, PACKAGE = "wickra")
.wk_obj("trix", ptr, "Trix")
}
#' TrueRange indicator
#' @keywords internal
#' @export
TrueRange <- function() {
ptr <- .Call("wk_true_range_new", PACKAGE = "wickra")
.wk_obj("true_range", ptr, "TrueRange")
}
#' Tsf indicator
#' @keywords internal
#' @export
Tsf <- function(period) {
ptr <- .Call("wk_tsf_new", period, PACKAGE = "wickra")
.wk_obj("tsf", ptr, "Tsf")
}
#' TsfOscillator indicator
#' @keywords internal
#' @export
TsfOscillator <- function(period) {
ptr <- .Call("wk_tsf_oscillator_new", period, PACKAGE = "wickra")
.wk_obj("tsf_oscillator", ptr, "TsfOscillator")
}
#' Tsi indicator
#' @keywords internal
#' @export
Tsi <- function(long_, short_) {
ptr <- .Call("wk_tsi_new", long_, short_, PACKAGE = "wickra")
.wk_obj("tsi", ptr, "Tsi")
}
#' Tsv indicator
#' @keywords internal
#' @export
Tsv <- function(period) {
ptr <- .Call("wk_tsv_new", period, PACKAGE = "wickra")
.wk_obj("tsv", ptr, "Tsv")
}
#' TtmSqueeze indicator
#' @keywords internal
#' @export
TtmSqueeze <- function(period, bb_mult, kc_mult) {
ptr <- .Call("wk_ttm_squeeze_new", period, bb_mult, kc_mult, PACKAGE = "wickra")
.wk_obj("ttm_squeeze", ptr, "TtmSqueeze")
}
#' TtmTrend indicator
#' @keywords internal
#' @export
TtmTrend <- function(period) {
ptr <- .Call("wk_ttm_trend_new", period, PACKAGE = "wickra")
.wk_obj("ttm_trend", ptr, "TtmTrend")
}
#' TurnOfMonth indicator
#' @keywords internal
#' @export
TurnOfMonth <- function(n_first, n_last, utc_offset_minutes) {
ptr <- .Call("wk_turn_of_month_new", n_first, n_last, utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("turn_of_month", ptr, "TurnOfMonth")
}
#' Tweezer indicator
#' @keywords internal
#' @export
Tweezer <- function() {
ptr <- .Call("wk_tweezer_new", PACKAGE = "wickra")
.wk_obj("tweezer", ptr, "Tweezer")
}
#' TwiggsMoneyFlow indicator
#' @keywords internal
#' @export
TwiggsMoneyFlow <- function(period) {
ptr <- .Call("wk_twiggs_money_flow_new", period, PACKAGE = "wickra")
.wk_obj("twiggs_money_flow", ptr, "TwiggsMoneyFlow")
}
#' TwoCrows indicator
#' @keywords internal
#' @export
TwoCrows <- function() {
ptr <- .Call("wk_two_crows_new", PACKAGE = "wickra")
.wk_obj("two_crows", ptr, "TwoCrows")
}
#' TypicalPrice indicator
#' @keywords internal
#' @export
TypicalPrice <- function() {
ptr <- .Call("wk_typical_price_new", PACKAGE = "wickra")
.wk_obj("typical_price", ptr, "TypicalPrice")
}
#' UlcerIndex indicator
#' @keywords internal
#' @export
UlcerIndex <- function(period) {
ptr <- .Call("wk_ulcer_index_new", period, PACKAGE = "wickra")
.wk_obj("ulcer_index", ptr, "UlcerIndex")
}
#' UltimateOscillator indicator
#' @keywords internal
#' @export
UltimateOscillator <- function(short_, mid, long_) {
ptr <- .Call("wk_ultimate_oscillator_new", short_, mid, long_, PACKAGE = "wickra")
.wk_obj("ultimate_oscillator", ptr, "UltimateOscillator")
}
#' UniqueThreeRiver indicator
#' @keywords internal
#' @export
UniqueThreeRiver <- function() {
ptr <- .Call("wk_unique_three_river_new", PACKAGE = "wickra")
.wk_obj("unique_three_river", ptr, "UniqueThreeRiver")
}
#' UniversalOscillator indicator
#' @keywords internal
#' @export
UniversalOscillator <- function(period) {
ptr <- .Call("wk_universal_oscillator_new", period, PACKAGE = "wickra")
.wk_obj("universal_oscillator", ptr, "UniversalOscillator")
}
#' UpDownVolumeRatio indicator
#' @keywords internal
#' @export
UpDownVolumeRatio <- function() {
ptr <- .Call("wk_up_down_volume_ratio_new", PACKAGE = "wickra")
.wk_obj("up_down_volume_ratio", ptr, "UpDownVolumeRatio")
}
#' UpsideGapThreeMethods indicator
#' @keywords internal
#' @export
UpsideGapThreeMethods <- function() {
ptr <- .Call("wk_upside_gap_three_methods_new", PACKAGE = "wickra")
.wk_obj("upside_gap_three_methods", ptr, "UpsideGapThreeMethods")
}
#' UpsideGapTwoCrows indicator
#' @keywords internal
#' @export
UpsideGapTwoCrows <- function() {
ptr <- .Call("wk_upside_gap_two_crows_new", PACKAGE = "wickra")
.wk_obj("upside_gap_two_crows", ptr, "UpsideGapTwoCrows")
}
#' UpsidePotentialRatio indicator
#' @keywords internal
#' @export
UpsidePotentialRatio <- function(period, mar) {
ptr <- .Call("wk_upside_potential_ratio_new", period, mar, PACKAGE = "wickra")
.wk_obj("upside_potential_ratio", ptr, "UpsidePotentialRatio")
}
#' ValueArea indicator
#' @keywords internal
#' @export
ValueArea <- function(period, bin_count, value_area_pct) {
ptr <- .Call("wk_value_area_new", period, bin_count, value_area_pct, PACKAGE = "wickra")
.wk_obj("value_area", ptr, "ValueArea")
}
#' ValueAtRisk indicator
#' @keywords internal
#' @export
ValueAtRisk <- function(period, confidence) {
ptr <- .Call("wk_value_at_risk_new", period, confidence, PACKAGE = "wickra")
.wk_obj("value_at_risk", ptr, "ValueAtRisk")
}
#' Variance indicator
#' @keywords internal
#' @export
Variance <- function(period) {
ptr <- .Call("wk_variance_new", period, PACKAGE = "wickra")
.wk_obj("variance", ptr, "Variance")
}
#' VarianceRatio indicator
#' @keywords internal
#' @export
VarianceRatio <- function(period, q) {
ptr <- .Call("wk_variance_ratio_new", period, q, PACKAGE = "wickra")
.wk_obj("variance_ratio", ptr, "VarianceRatio")
}
#' VerticalHorizontalFilter indicator
#' @keywords internal
#' @export
VerticalHorizontalFilter <- function(period) {
ptr <- .Call("wk_vertical_horizontal_filter_new", period, PACKAGE = "wickra")
.wk_obj("vertical_horizontal_filter", ptr, "VerticalHorizontalFilter")
}
#' Vidya indicator
#' @keywords internal
#' @export
Vidya <- function(period, cmo_period) {
ptr <- .Call("wk_vidya_new", period, cmo_period, PACKAGE = "wickra")
.wk_obj("vidya", ptr, "Vidya")
}
#' VolatilityCone indicator
#' @keywords internal
#' @export
VolatilityCone <- function(window, lookback) {
ptr <- .Call("wk_volatility_cone_new", window, lookback, PACKAGE = "wickra")
.wk_obj("volatility_cone", ptr, "VolatilityCone")
}
#' VolatilityOfVolatility indicator
#' @keywords internal
#' @export
VolatilityOfVolatility <- function(vol_window, vov_window) {
ptr <- .Call("wk_volatility_of_volatility_new", vol_window, vov_window, PACKAGE = "wickra")
.wk_obj("volatility_of_volatility", ptr, "VolatilityOfVolatility")
}
#' VolatilityRatio indicator
#' @keywords internal
#' @export
VolatilityRatio <- function(period) {
ptr <- .Call("wk_volatility_ratio_new", period, PACKAGE = "wickra")
.wk_obj("volatility_ratio", ptr, "VolatilityRatio")
}
#' VoltyStop indicator
#' @keywords internal
#' @export
VoltyStop <- function(atr_period, multiplier) {
ptr <- .Call("wk_volty_stop_new", atr_period, multiplier, PACKAGE = "wickra")
.wk_obj("volty_stop", ptr, "VoltyStop")
}
#' VolumeBars indicator
#' @keywords internal
#' @export
VolumeBars <- function(volume_per_bar) {
ptr <- .Call("wk_volume_bars_new", volume_per_bar, PACKAGE = "wickra")
.wk_obj("volume_bars", ptr, "VolumeBars")
}
#' VolumeByTimeProfile indicator
#' @keywords internal
#' @export
VolumeByTimeProfile <- function(buckets, utc_offset_minutes) {
ptr <- .Call("wk_volume_by_time_profile_new", buckets, utc_offset_minutes, PACKAGE = "wickra")
.wk_obj("volume_by_time_profile", ptr, "VolumeByTimeProfile", values_cap = as.integer(buckets))
}
#' VolumeOscillator indicator
#' @keywords internal
#' @export
VolumeOscillator <- function(fast, slow) {
ptr <- .Call("wk_volume_oscillator_new", fast, slow, PACKAGE = "wickra")
.wk_obj("volume_oscillator", ptr, "VolumeOscillator")
}
#' VolumePriceTrend indicator
#' @keywords internal
#' @export
VolumePriceTrend <- function() {
ptr <- .Call("wk_volume_price_trend_new", PACKAGE = "wickra")
.wk_obj("volume_price_trend", ptr, "VolumePriceTrend")
}
#' VolumeProfile indicator
#' @keywords internal
#' @export
VolumeProfile <- function(period, bin_count) {
ptr <- .Call("wk_volume_profile_new", period, bin_count, PACKAGE = "wickra")
.wk_obj("volume_profile", ptr, "VolumeProfile", values_cap = as.integer(bin_count))
}
#' VolumeRsi indicator
#' @keywords internal
#' @export
VolumeRsi <- function(period) {
ptr <- .Call("wk_volume_rsi_new", period, PACKAGE = "wickra")
.wk_obj("volume_rsi", ptr, "VolumeRsi")
}
#' VolumeWeightedMacd indicator
#' @keywords internal
#' @export
VolumeWeightedMacd <- function(fast, slow, signal) {
ptr <- .Call("wk_volume_weighted_macd_new", fast, slow, signal, PACKAGE = "wickra")
.wk_obj("volume_weighted_macd", ptr, "VolumeWeightedMacd")
}
#' VolumeWeightedSr indicator
#' @keywords internal
#' @export
VolumeWeightedSr <- function(period) {
ptr <- .Call("wk_volume_weighted_sr_new", period, PACKAGE = "wickra")
.wk_obj("volume_weighted_sr", ptr, "VolumeWeightedSr")
}
#' Vortex indicator
#' @keywords internal
#' @export
Vortex <- function(period) {
ptr <- .Call("wk_vortex_new", period, PACKAGE = "wickra")
.wk_obj("vortex", ptr, "Vortex")
}
#' Vpin indicator
#' @keywords internal
#' @export
Vpin <- function(bucket_volume, num_buckets) {
ptr <- .Call("wk_vpin_new", bucket_volume, num_buckets, PACKAGE = "wickra")
.wk_obj("vpin", ptr, "Vpin")
}
#' Vwap indicator
#' @keywords internal
#' @export
Vwap <- function() {
ptr <- .Call("wk_vwap_new", PACKAGE = "wickra")
.wk_obj("vwap", ptr, "Vwap")
}
#' VwapStdDevBands indicator
#' @keywords internal
#' @export
VwapStdDevBands <- function(multiplier) {
ptr <- .Call("wk_vwap_std_dev_bands_new", multiplier, PACKAGE = "wickra")
.wk_obj("vwap_std_dev_bands", ptr, "VwapStdDevBands")
}
#' Vwma indicator
#' @keywords internal
#' @export
Vwma <- function(period) {
ptr <- .Call("wk_vwma_new", period, PACKAGE = "wickra")
.wk_obj("vwma", ptr, "Vwma")
}
#' Vzo indicator
#' @keywords internal
#' @export
Vzo <- function(period) {
ptr <- .Call("wk_vzo_new", period, PACKAGE = "wickra")
.wk_obj("vzo", ptr, "Vzo")
}
#' Wad indicator
#' @keywords internal
#' @export
Wad <- function() {
ptr <- .Call("wk_wad_new", PACKAGE = "wickra")
.wk_obj("wad", ptr, "Wad")
}
#' WavePm indicator
#' @keywords internal
#' @export
WavePm <- function(length, smoothing) {
ptr <- .Call("wk_wave_pm_new", length, smoothing, PACKAGE = "wickra")
.wk_obj("wave_pm", ptr, "WavePm")
}
#' WaveTrend indicator
#' @keywords internal
#' @export
WaveTrend <- function(channel_period, average_period, signal_period) {
ptr <- .Call("wk_wave_trend_new", channel_period, average_period, signal_period, PACKAGE = "wickra")
.wk_obj("wave_trend", ptr, "WaveTrend")
}
#' Wedge indicator
#' @keywords internal
#' @export
Wedge <- function() {
ptr <- .Call("wk_wedge_new", PACKAGE = "wickra")
.wk_obj("wedge", ptr, "Wedge")
}
#' WeightedClose indicator
#' @keywords internal
#' @export
WeightedClose <- function() {
ptr <- .Call("wk_weighted_close_new", PACKAGE = "wickra")
.wk_obj("weighted_close", ptr, "WeightedClose")
}
#' WickRatio indicator
#' @keywords internal
#' @export
WickRatio <- function() {
ptr <- .Call("wk_wick_ratio_new", PACKAGE = "wickra")
.wk_obj("wick_ratio", ptr, "WickRatio")
}
#' WilliamsFractals indicator
#' @keywords internal
#' @export
WilliamsFractals <- function() {
ptr <- .Call("wk_williams_fractals_new", PACKAGE = "wickra")
.wk_obj("williams_fractals", ptr, "WilliamsFractals")
}
#' WilliamsR indicator
#' @keywords internal
#' @export
WilliamsR <- function(period) {
ptr <- .Call("wk_williams_r_new", period, PACKAGE = "wickra")
.wk_obj("williams_r", ptr, "WilliamsR")
}
#' WinRate indicator
#' @keywords internal
#' @export
WinRate <- function(period) {
ptr <- .Call("wk_win_rate_new", period, PACKAGE = "wickra")
.wk_obj("win_rate", ptr, "WinRate")
}
#' Wma indicator
#' @keywords internal
#' @export
Wma <- function(period) {
ptr <- .Call("wk_wma_new", period, PACKAGE = "wickra")
.wk_obj("wma", ptr, "Wma")
}
#' WoodiePivots indicator
#' @keywords internal
#' @export
WoodiePivots <- function() {
ptr <- .Call("wk_woodie_pivots_new", PACKAGE = "wickra")
.wk_obj("woodie_pivots", ptr, "WoodiePivots")
}
#' YangZhangVolatility indicator
#' @keywords internal
#' @export
YangZhangVolatility <- function(period, trading_periods) {
ptr <- .Call("wk_yang_zhang_volatility_new", period, trading_periods, PACKAGE = "wickra")
.wk_obj("yang_zhang_volatility", ptr, "YangZhangVolatility")
}
#' YoyoExit indicator
#' @keywords internal
#' @export
YoyoExit <- function(atr_period, multiplier) {
ptr <- .Call("wk_yoyo_exit_new", atr_period, multiplier, PACKAGE = "wickra")
.wk_obj("yoyo_exit", ptr, "YoyoExit")
}
#' ZScore indicator
#' @keywords internal
#' @export
ZScore <- function(period) {
ptr <- .Call("wk_z_score_new", period, PACKAGE = "wickra")
.wk_obj("z_score", ptr, "ZScore")
}
#' ZeroLagMacd indicator
#' @keywords internal
#' @export
ZeroLagMacd <- function(fast, slow, signal) {
ptr <- .Call("wk_zero_lag_macd_new", fast, slow, signal, PACKAGE = "wickra")
.wk_obj("zero_lag_macd", ptr, "ZeroLagMacd")
}
#' ZigZag indicator
#' @keywords internal
#' @export
ZigZag <- function(threshold) {
ptr <- .Call("wk_zig_zag_new", threshold, PACKAGE = "wickra")
.wk_obj("zig_zag", ptr, "ZigZag")
}
#' Zlema indicator
#' @keywords internal
#' @export
Zlema <- function(period) {
ptr <- .Call("wk_zlema_new", period, PACKAGE = "wickra")
.wk_obj("zlema", ptr, "Zlema")
}