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indicators

165
Library "indicators"
Indicators classified by Trend, Momentum, Perpetual and Oscillator categories for easy access via naming convention

fdiAdSupertrendPerp(fdiadPeriod, fdiadSpeed, fdiadMultiplier, fdiadAdaptive, fdiadaptiveSRC)
  FDI-AD Supertrend Indicator
  Parameters:
    fdiadPeriod (int)
    fdiadSpeed (int)
    fdiadMultiplier (float)
    fdiadAdaptive (bool)
    fdiadaptiveSRC (float)
  Returns: score

nadarayaWatsonRqkTrendPerp(nwrqkH, nwrqkR, nwrqkX0, smoothColors, nwrqkLag, nwrqkSrc)
  Nadaraya-Watson: Rational Quadratic Kernel (Non-Repainting)
  Parameters:
    nwrqkH (float)
    nwrqkR (float)
    nwrqkX0 (float)
    smoothColors (bool)
    nwrqkLag (int)
    nwrqkSrc (float)
  Returns: score

ttpSupertrendPerp(ttpstInfluence, ttpstEffect, ttpstAdxLen, ttpstDiLen, ttpstAtrPeriod, ttpstFactor)
  Nadaraya-Watson: TTP Supertrend ADX
  Parameters:
    ttpstInfluence (float)
    ttpstEffect (string)
    ttpstAdxLen (simple int)
    ttpstDiLen (simple int)
    ttpstAtrPeriod (simple int)
    ttpstFactor (float)
  Returns: score

adaptiveParabolicSarTrendPerp(apsarStartAFactor, apsarMinStep, apsarMaxStep, apsarMaxAFactor, apsarHiloMode, apsarAdaptMode, apsarAdaptSmth, apsarMinChng, apsarSrc)
  Adaptive Parabolic SAR (PSAR)
  Parameters:
    apsarStartAFactor (float)
    apsarMinStep (float)
    apsarMaxStep (float)
    apsarMaxAFactor (float)
    apsarHiloMode (string)
    apsarAdaptMode (string)
    apsarAdaptSmth (simple int)
    apsarMinChng (float)
    apsarSrc (float)
  Returns: long, short, score, title, shorttitle, plot

coralTrendPerp(ctiSmoothingPeriod, ctiConstantD, ctiSrc)
  CORAL TREND INDICATOR
  Parameters:
    ctiSmoothingPeriod (int)
    ctiConstantD (float)
    ctiSrc (float)
  Returns: long, short, score, title, shorttitle, plot

kijunSenBaseTrendPerp(kijunsbLen, kijunsbSrc)
  KIJUN SEN Base
  Parameters:
    kijunsbLen (int)
    kijunsbSrc (float)
  Returns: long, short, score, title, shorttitle, plot

kamaOscillatorTrend(kamaFastPeriod, kamaSlowPeriod, kamaEfficiencyRatio, kamaNormalizationLookback)
  NORMALIZED KAMA OSCILLATOR
  Parameters:
    kamaFastPeriod (simple int)
    kamaSlowPeriod (int)
    kamaEfficiencyRatio (int)
    kamaNormalizationLookback (int)
  Returns: long, short, score, title, shorttitle, plot

relativeTrendIndexOsc(rtiTrendDataCount, rtiTrendSensitivityPercentage, rtiSignalLength, rtiUseMASignals)
  RELATIVE TREND INDEX
  Parameters:
    rtiTrendDataCount (int)
    rtiTrendSensitivityPercentage (int)
    rtiSignalLength (simple int)
    rtiUseMASignals (bool)
  Returns: long, short, score, title, shorttitle, plot

ichimokuMomentumTrendOsc(imcConvPeriods, imcBasePeriods, imcLagSpan2Periods, imcDisplacement, imcIsWeighted, useTrendAsSignal)
  ICHIMOKU CLOUD
  Parameters:
    imcConvPeriods (int)
    imcBasePeriods (int)
    imcLagSpan2Periods (int)
    imcDisplacement (int)
    imcIsWeighted (bool)
    useTrendAsSignal (bool)
  Returns: long, short, score, title, shorttitle, plot

nonlinearRegZeroLagMaTrendPerp(nrzlmaZlmaper, nrzlmaRegressionper, nrzlmaSrc)
  Nonlinear Regression, Zero-lag Moving Average
  Parameters:
    nrzlmaZlmaper (simple int)
    nrzlmaRegressionper (simple int)
    nrzlmaSrc (float)
  Returns: long, short, score, title, shorttitle, plot

expWMaNormalizedOsc(ewmanoLength, ewmanoNormPeriod, ewmanoSource)
  Parameters:
    ewmanoLength (int)
    ewmanoNormPeriod (int)
    ewmanoSource (float)

kalmanPriceFilterTrendPerp(kpfProcessNoise, kpfMeasurementNoise, kpfN, kpfPriceSource)
  Parameters:
    kpfProcessNoise (float)
    kpfMeasurementNoise (float)
    kpfN (int)
    kpfPriceSource (float)

kalmanHullSupertrendPerp(khstPriceSource, khstMeasurementNoise, khstProcessNoise, khstAtrPeriod, khstFactor)
  Parameters:
    khstPriceSource (float)
    khstMeasurementNoise (float)
    khstProcessNoise (float)
    khstAtrPeriod (simple int)
    khstFactor (float)

kalmanFilteredRsiOsc(kfrsioscProcessNoise, kfrsioscMeasurementNoise, kfrsioscN, kfrsioscRsiPeriod, kfrsioscSmooth, kfrsioscModeSwitch, kfrsioscSmoothLen, kfrsioscPriceSource)
  Parameters:
    kfrsioscProcessNoise (float)
    kfrsioscMeasurementNoise (float)
    kfrsioscN (int)
    kfrsioscRsiPeriod (simple int)
    kfrsioscSmooth (bool)
    kfrsioscModeSwitch (string)
    kfrsioscSmoothLen (simple int)
    kfrsioscPriceSource (float)

lsmaZScoreOsc(lsmazsLen, lsmazsLookback, lsmazsSrc)
  Parameters:
    lsmazsLen (int)
    lsmazsLookback (simple int)
    lsmazsSrc (float)

demaRsiOverlayPerp(demarsiSubLen, demarsiLen, demarsiLongThreshold, demarsiShortThreshold, demarsiSource)
  Parameters:
    demarsiSubLen (simple int)
    demarsiLen (simple int)
    demarsiLongThreshold (int)
    demarsiShortThreshold (int)
    demarsiSource (float)

normalizedT3Osc(nt3oLen, nt3oVf, nt3oNormPeriod, nt3oMaType, nt3oMaLen, nt3oSource, nt3oUseMaSignals)
  Parameters:
    nt3oLen (simple int)
    nt3oVf (simple float)
    nt3oNormPeriod (int)
    nt3oMaType (string)
    nt3oMaLen (simple int)
    nt3oSource (float)
    nt3oUseMaSignals (bool)

signals
  Fields:
    long (series bool)
    short (series bool)
    score (series float)
    title (series string)
    shorttitle (series string)
    plot (series float)
    plotma (series float)
    plotcolor (series color)
    indicatortype (series string)
Nota Keluaran
v2
Nota Keluaran
v3

Standardized Indicators that return long, short, score, title, shorttitle, plot and indicatortype values. When using the library indicators can be recalled by using osc or perp, trend or momentum categories for ease of access.

Example:
Pine Script®
import Salience-Landscape/indicators/3 as indicator fdiadst = indicator.fdiAdSupertrendPerp(50, 9, 2.6, true, close) we can now recall any of the standardized outputs from this indicator. //fdiadst.score returns a TPI style -1, 1 or a 0 score if neither long or short conditions are met. //fdiadst.long or fdiadst.short returns true when the indicator is long or short //fdiadst.title and fdiadst.shorttitle respectively returns the title and the shortened version //fdiadst.plot returns the plot of the indicator //fdiadst.color returns color.red or color.green depending on the condition of the indicator //fdiadst.indicatortype returns "Oscillator" or "Perpetual" string
Nota Keluaran
v4
Nota Keluaran
v5

Added:
schaffTrendCycleMomentum(stcLength, stcLengthFast, stcLengthSlow, stcWeightingFactor, stcSource)
  Parameters:
    stcLength (int)
    stcLengthFast (simple int)
    stcLengthSlow (simple int)
    stcWeightingFactor (float)
    stcSource (float)

oMAFilteredGannHiLoActivatorTrend(omafghaLen, omafghaConst, omafghaClsPer, omafghaAdapt)
  Parameters:
    omafghaLen (int)
    omafghaConst (float)
    omafghaClsPer (int)
    omafghaAdapt (bool)

ultimateMATrend(umaLen, umaAType, umaSmoothe, umaSRC)
  Parameters:
    umaLen (simple int)
    umaAType (string)
    umaSmoothe (int)
    umaSRC (float)

fsvzoVolumeOsc(fsvzoLength, fsvzoFisherLength, fsvzoSmoothLength, fsvzoIntraday, fsvzoSource)
  Parameters:
    fsvzoLength (int)
    fsvzoFisherLength (int)
    fsvzoSmoothLength (simple int)
    fsvzoIntraday (bool)
    fsvzoSource (float)

Updated:
signals
  Fields:
    long (series bool)
    short (series bool)
    score (series float)
    title (series string)
    shorttitle (series string)
    plot (series float)
    plot2 (series float)
    plotcolor (series color)
    indicatortype (series string)
Nota Keluaran
v6

Added:
rsiMomentumOsc(rsiLength, rsiMALength, rsiOB, rsiOS, rsiMAType, rsiSource)
  Parameters:
    rsiLength (simple int)
    rsiMALength (simple int)
    rsiOB (int)
    rsiOS (int)
    rsiMAType (string)
    rsiSource (float)

macdTrendMomOsc(macdFastLength, macdSlowlength, macdSignallength)
  Parameters:
    macdFastLength (simple int)
    macdSlowlength (simple int)
    macdSignallength (simple int)
Nota Keluaran
v7

fixed kama color coding
Nota Keluaran
v8

Added:
trendIdentifierPerp(tiTimeInterval, tiSmoothining, tiSource)
  Parameters:
    tiTimeInterval (int)
    tiSmoothining (simple int)
    tiSource (float)
Nota Keluaran
v9

Updated:
schaffTrendCycleMomentum(stcLength, stcLengthFast, stcLengthSlow, stcWeightingFactor, stcMALength, stcLongThreshold, stcShortThreshold, stcSource)
  Parameters:
    stcLength (int)
    stcLengthFast (simple int)
    stcLengthSlow (simple int)
    stcWeightingFactor (float)
    stcMALength (simple int)
    stcLongThreshold (int)
    stcShortThreshold (int)
    stcSource (float)

trendIdentifierPerp(tiTimeInterval, tiSmoothing, tiSource)
  Parameters:
    tiTimeInterval (int)
    tiSmoothing (simple int)
    tiSource (float)
Nota Keluaran
v10

Added:
stcMomentum(stcLength, stcLengthFast, stcLengthSlow, stcWeightingFactor, stcMALength, stcLongThreshold, stcShortThreshold, stcSource)
  Parameters:
    stcLength (int)
    stcLengthFast (simple int)
    stcLengthSlow (simple int)
    stcWeightingFactor (float)
    stcMALength (simple int)
    stcLongThreshold (int)
    stcShortThreshold (int)
    stcSource (float)

Removed:
schaffTrendCycleMomentum(stcLength, stcLengthFast, stcLengthSlow, stcWeightingFactor, stcMALength, stcLongThreshold, stcShortThreshold, stcSource)
Nota Keluaran
v11

Updated:
stcMomentum(stcLength, stcLengthFast, stcLengthSlow, stcWeightingFactor, stcMALength, stcSource)
  Parameters:
    stcLength (int)
    stcLengthFast (simple int)
    stcLengthSlow (simple int)
    stcWeightingFactor (float)
    stcMALength (simple int)
    stcSource (float)
Nota Keluaran
v12

Added:
lsmaForLoopTrendPerpViResearch(lsmaflLen, lsmaflA, lsmaflB, lsmaflThresholdL, lsmaflThresholdS, lsmaflSrc)
  Parameters:
    lsmaflLen (int)
    lsmaflA (int)
    lsmaflB (int)
    lsmaflThresholdL (int)
    lsmaflThresholdS (int)
    lsmaflSrc (float)

rsiMomentumTrendPerp(rsimtLength, rsimtPosMomThreshold, rsimtNegMomThreshold, rsimtSource)
  Parameters:
    rsimtLength (simple int)
    rsimtPosMomThreshold (int)
    rsimtNegMomThreshold (int)
    rsimtSource (float)

parabolicSarZoneTrend(pszStart, pszIncrement, pszMaxValue)
  Parameters:
    pszStart (simple float)
    pszIncrement (simple float)
    pszMaxValue (simple float)

gaussianSWMAForLoopTrendCoff(gswmaflWMALength, gswmaflSMALength, gswmaflA, gswmaflB, gswmaflThresholdL, gswmaflThresholdS, gswmaflSigma, gswmaflSource)
  Parameters:
    gswmaflWMALength (int)
    gswmaflSMALength (int)
    gswmaflA (int)
    gswmaflB (int)
    gswmaflThresholdL (int)
    gswmaflThresholdS (int)
    gswmaflSigma (float)
    gswmaflSource (float)

modeForLoopTrendPerpViResearch(mflLen, mflA, mflB, mflThresholdL, mflThresholdS, mflSrc)
  Parameters:
    mflLen (int)
    mflA (int)
    mflB (int)
    mflThresholdL (int)
    mflThresholdS (int)
    mflSrc (float)
Nota Keluaran
v13
Nota Keluaran
v14

Added:
adaptiveParabolicSarTrendPerpLoxx(apsarStartAFactor, apsarMinStep, apsarMaxStep, apsarMaxAFactor, apsarHiloMode, apsarAdaptMode, apsarAdaptSmth, apsarMinChng, apsarSrc)
  Adaptive Parabolic SAR (PSAR)
  Parameters:
    apsarStartAFactor (float)
    apsarMinStep (float)
    apsarMaxStep (float)
    apsarMaxAFactor (float)
    apsarHiloMode (string)
    apsarAdaptMode (string)
    apsarAdaptSmth (simple int)
    apsarMinChng (float)
    apsarSrc (float)
  Returns: long, short, score, title, shorttitle, plot, plotcolor, indicatortype

expWMaNormalizedOscBack(ewmanoLength, ewmanoNormPeriod, ewmanoSource)
  Exponentially Weighted MA Normalised Oscillator
  Parameters:
    ewmanoLength (int)
    ewmanoNormPeriod (int)
    ewmanoSource (float)
  Returns: long, short, score, title, shorttitle, plot, plotcolor, indicatortype

demavstopTrendPerpViResearch(demaVstopLength, demaVstopVstopLength, demaVstopMultiplier, demaVstopSource)
  Parameters:
    demaVstopLength (simple int)
    demaVstopVstopLength (simple int)
    demaVstopMultiplier (float)
    demaVstopSource (float)

rsisdTrendPerpViResearch(rsisdLen, rsisdSdLen, rsisdSrc)
  Parameters:
    rsisdLen (simple int)
    rsisdSdLen (int)
    rsisdSrc (float)

Removed:
adaptiveParabolicSarTrendPerp(apsarStartAFactor, apsarMinStep, apsarMaxStep, apsarMaxAFactor, apsarHiloMode, apsarAdaptMode, apsarAdaptSmth, apsarMinChng, apsarSrc)
  Adaptive Parabolic SAR (PSAR)

expWMaNormalizedOsc(ewmanoLength, ewmanoNormPeriod, ewmanoSource)
  Exponentially Weighted MA Normalised Oscillator
Nota Keluaran
v15

Added:
invsddemarsiTrendPerpViResearch(isddemarsiSublen, isddemarsiSublen2, isddemarsiLen, isddemarsiThresholdL, isddemarsiThresholdS, isddemarsiSrc)
  Parameters:
    isddemarsiSublen (simple int)
    isddemarsiSublen2 (int)
    isddemarsiLen (simple int)
    isddemarsiThresholdL (int)
    isddemarsiThresholdS (int)
    isddemarsiSrc (float)

lsmaatrTrendPerpViResearch(lsmaatrLenLsma, lsmaatrLen, lsmaatrSrc)
  Parameters:
    lsmaatrLenLsma (int)
    lsmaatrLen (simple int)
    lsmaatrSrc (float)

mediansdTrendPerpViResearch(msdLenDema, msdMedianLen, msdAtrLen, msdAtrMul, msdLenSd, msdSrc)
  Parameters:
    msdLenDema (simple int)
    msdMedianLen (int)
    msdAtrLen (simple int)
    msdAtrMul (float)
    msdLenSd (int)
    msdSrc (float)

ewmaTrendPerpViResearch(ewmaviLen, ewmaviSrc)
  Parameters:
    ewmaviLen (simple int)
    ewmaviSrc (float)

demaemaTrendPerpViResearch(demaemaLenDema, demaemaLen1st, demaemaLen2nd, demaemaSrcDema)
  Parameters:
    demaemaLenDema (simple int)
    demaemaLen1st (simple int)
    demaemaLen2nd (simple int)
    demaemaSrcDema (float)

demadmiTrendPerpViResearch(demadmiLenDema, demadmiAdxSmoothingLen, demadmiDiLen)
  Parameters:
    demadmiLenDema (simple int)
    demadmiAdxSmoothingLen (simple int)
    demadmiDiLen (simple int)

emazscoreTrendPerpViResearch(emazscoreLen, emazscoreLookback, emazscoreThresholdL, emazscoreThresholdS, emazscoreSrc)
  Parameters:
    emazscoreLen (simple int)
    emazscoreLookback (simple int)
    emazscoreThresholdL (float)
    emazscoreThresholdS (float)
    emazscoreSrc (float)
Nota Keluaran
v16

Added:
kalmanPriceFilterTrendPerpBackQuant(kpfProcessNoise, kpfMeasurementNoise, kpfN, kpfPriceSource)
  Kalman Price Filter
  Parameters:
    kpfProcessNoise (float)
    kpfMeasurementNoise (float)
    kpfN (int)
    kpfPriceSource (float)
  Returns: long, short, score, title, shorttitle, plot, plotcolor, indicatortype

kalmanFilteredRsiOscBackQuant(kfrsioscProcessNoise, kfrsioscMeasurementNoise, kfrsioscN, kfrsioscRsiPeriod, kfrsioscSmooth, kfrsioscModeSwitch, kfrsioscSmoothLen, kfrsioscPriceSource)
  Parameters:
    kfrsioscProcessNoise (float)
    kfrsioscMeasurementNoise (float)
    kfrsioscN (int)
    kfrsioscRsiPeriod (simple int)
    kfrsioscSmooth (bool)
    kfrsioscModeSwitch (string)
    kfrsioscSmoothLen (simple int)
    kfrsioscPriceSource (float)

lsmaZScoreOscBackQuant(lsmazsLen, lsmazsLookback, lsmazsSrc)
  LSMA Z-Score
  Parameters:
    lsmazsLen (int)
    lsmazsLookback (simple int)
    lsmazsSrc (float)
  Returns: long, short, score, title, shorttitle, plot, plotcolor, indicatortype

demaRsiOverlayPerpBackQuant(demarsiSubLen, demarsiLen, demarsiLongThreshold, demarsiShortThreshold, demarsiSource)
  DEMA RSI Overlay
  Parameters:
    demarsiSubLen (simple int)
    demarsiLen (simple int)
    demarsiLongThreshold (int)
    demarsiShortThreshold (int)
    demarsiSource (float)
  Returns: long, short, score, title, shorttitle, plot, plotcolor, indicatortype

normalizedT3OscBackQuant(nt3oLen, nt3oVf, nt3oNormPeriod, nt3oMaType, nt3oMaLen, nt3oSource, nt3oUseMaSignals)
  Parameters:
    nt3oLen (simple int)
    nt3oVf (simple float)
    nt3oNormPeriod (int)
    nt3oMaType (string)
    nt3oMaLen (simple int)
    nt3oSource (float)
    nt3oUseMaSignals (bool)

hullforloopTrendPerpViResearch(hflLength, hflX, hflY, hflThresholdL, hflThresholdS)
  Parameters:
    hflLength (int)
    hflX (int)
    hflY (int)
    hflThresholdL (int)
    hflThresholdS (int)

demasupertrendTrendPerpViResearch(demastSubject, demastMul, demastDemalen, demastSrc)
  Parameters:
    demastSubject (simple int)
    demastMul (float)
    demastDemalen (simple int)
    demastSrc (float)

lsmaTrendPerpViResearch(lsmaLenLsma, lsmaOff, lsmaSrc, lsmaEn)
  Parameters:
    lsmaLenLsma (int)
    lsmaOff (simple int)
    lsmaSrc (float)
    lsmaEn (float)

almalagTrendPerpViResearch(almalagLenSubject, almaSrc)
  Parameters:
    almalagLenSubject (int)
    almaSrc (float)

medianforloopTrendPerpViResearch(medflLen, medflA, medflB, medflThresholdL, medflThresholdS, medflSME)
  Parameters:
    medflLen (int)
    medflA (int)
    medflB (int)
    medflThresholdL (int)
    medflThresholdS (int)
    medflSME (float)

hmaswingpointsTrendPerpViResearch(hmaspX, hmaspLen)
  Parameters:
    hmaspX (int)
    hmaspLen (simple int)

mediansupertrendTrendPerpViResearch(medianstSubject, medianstMul, medianstSlen, medianstSrcMe)
  Parameters:
    medianstSubject (simple int)
    medianstMul (float)
    medianstSlen (int)
    medianstSrcMe (float)

volumetrendswingpointsPerpViResearch(voltspX, voltspY)
  Parameters:
    voltspX (int)
    voltspY (int)

demaafrTrendPerpViResearch(demaafrLen, demaafrP, demaafrAtrFactor, demaafrSrc)
  Parameters:
    demaafrLen (simple int)
    demaafrP (simple int)
    demaafrAtrFactor (float)
    demaafrSrc (float)

dsmaTrendPerpViResearch(dsmaviLenSma, dsmaviLenDsma, dsmaviEnL, dsmaviEnS)
  Parameters:
    dsmaviLenSma (int)
    dsmaviLenDsma (int)
    dsmaviEnL (float)
    dsmaviEnS (float)

doublesrcsmasdTrendPerpViResearch(dssmasdLenMa, dssmasdLenSd, dssmasdSrcMa)
  Parameters:
    dssmasdLenMa (int)
    dssmasdLenSd (int)
    dssmasdSrcMa (float)

demasmasdTrendPerpViResearch(demasmasdLenDema, demasmasdSrcDema, demasmasdLenMa, demasmasdLenSd, demasmasdSrcl, demasmasdSrcs)
  Parameters:
    demasmasdLenDema (simple int)
    demasmasdSrcDema (float)
    demasmasdLenMa (int)
    demasmasdLenSd (int)
    demasmasdSrcl (float)
    demasmasdSrcs (float)

elderforcevolindexTrendPerpViResearch(efviLength)
  Parameters:
    efviLength (simple int)

Updated:
ttpSupertrendPerp(ttpstInfluence, ttpstEffect, ttpstAdxLen, ttpstDiLen, ttpstAtrPeriod, ttpstFactor)
  Parameters:
    ttpstInfluence (float)
    ttpstEffect (string)
    ttpstAdxLen (simple int)
    ttpstDiLen (simple int)
    ttpstAtrPeriod (simple int)
    ttpstFactor (float)

adaptiveParabolicSarTrendPerpLoxx(apsarStartAFactor, apsarMinStep, apsarMaxStep, apsarMaxAFactor, apsarHiloMode, apsarAdaptMode, apsarAdaptSmth, apsarMinChng, apsarSrc)
  Parameters:
    apsarStartAFactor (float)
    apsarMinStep (float)
    apsarMaxStep (float)
    apsarMaxAFactor (float)
    apsarHiloMode (string)
    apsarAdaptMode (string)
    apsarAdaptSmth (simple int)
    apsarMinChng (float)
    apsarSrc (float)

kalmanHullSupertrendPerp(khstPriceSource, khstMeasurementNoise, khstProcessNoise, khstAtrPeriod, khstFactor)
  Parameters:
    khstPriceSource (float)
    khstMeasurementNoise (float)
    khstProcessNoise (float)
    khstAtrPeriod (simple int)
    khstFactor (float)

Removed:
kalmanPriceFilterTrendPerp(kpfProcessNoise, kpfMeasurementNoise, kpfN, kpfPriceSource)
  Kalman Price Filter

kalmanFilteredRsiOsc(kfrsioscProcessNoise, kfrsioscMeasurementNoise, kfrsioscN, kfrsioscRsiPeriod, kfrsioscSmooth, kfrsioscModeSwitch, kfrsioscSmoothLen, kfrsioscPriceSource)
  Kalman Filtered RSI Oscillator

lsmaZScoreOsc(lsmazsLen, lsmazsLookback, lsmazsSrc)
  LSMA Z-Score

demaRsiOverlayPerp(demarsiSubLen, demarsiLen, demarsiLongThreshold, demarsiShortThreshold, demarsiSource)
  DEMA RSI Overlay

normalizedT3Osc(nt3oLen, nt3oVf, nt3oNormPeriod, nt3oMaType, nt3oMaLen, nt3oSource, nt3oUseMaSignals)
  Normalised T3 Oscillator
Nota Keluaran
v17

Perpustakaan Pine

Dalam semangat sebenar TradingView, penulis telah menerbitkan kod Pine ini sebagai perpustakaan sumber terbuka supaya pengaturcara Pine lain dari komuniti kami boleh menggunakannya semula. Sorakan kepada penulis! Anda juga boleh menggunakan perpustakaan ini secara peribadi atau dalam penerbitan sumber terbuka lain, tetapi penggunaan semula kod ini dalam penerbitan adalah tertakluk kepada Peraturan Dalaman.

Salience-Landscape

Penafian

Maklumat dan penerbitan adalah tidak dimaksudkan untuk menjadi, dan tidak membentuk, nasihat untuk kewangan, pelaburan, perdagangan dan jenis-jenis lain atau cadangan yang dibekalkan atau disahkan oleh TradingView. Baca dengan lebih lanjut di Terma Penggunaan.

Perpustakaan Pine

Dalam semangat sebenar TradingView, penulis telah menerbitkan kod Pine ini sebagai perpustakaan sumber terbuka supaya pengaturcara Pine lain dari komuniti kami boleh menggunakannya semula. Sorakan kepada penulis! Anda juga boleh menggunakan perpustakaan ini secara peribadi atau dalam penerbitan sumber terbuka lain, tetapi penggunaan semula kod ini dalam penerbitan adalah tertakluk kepada Peraturan Dalaman.

Salience-Landscape

Penafian

Maklumat dan penerbitan adalah tidak dimaksudkan untuk menjadi, dan tidak membentuk, nasihat untuk kewangan, pelaburan, perdagangan dan jenis-jenis lain atau cadangan yang dibekalkan atau disahkan oleh TradingView. Baca dengan lebih lanjut di Terma Penggunaan.