Technical Analysis¶

157 functions across 3 categories.

Categories¶

Easy Indicators (50 commands)
Technical Analysis (98 commands)
Technical Analysis Helpers (9 commands)

Easy Indicators¶

EasyABANDS¶

EasyABANDS(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the ABANDS, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template. Signals are generated when price breaks above Upper and below Lower band.

EasyADOSC¶

EasyADOSC(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the ADOSC, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on ADOSC, it's MA and selected signal type.

EasyAlice¶

EasyAlice([interval])

Automatically defines the input fields, calculates the Alice signal based on the Haasonline Intelli Alice bot. By default Alice works on a 2 minute interval., plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the Intelli-Bot Alice.

EasyAO¶

EasyAO(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the AO, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on AO, it's MA and selected signal type.

EasyAPO¶

EasyAPO(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the APO, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on APO, it's MA and selected signal type.

EasyAROON¶

EasyAROON(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the AROON, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetThresholdSignal() template.

EasyAROONOSC¶

EasyAROONOSC(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the AROONOSC, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetThresholdSignal() template.

EasyBBANDS¶

EasyBBANDS(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the BBANDS, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template. Signals are generated when price breaks above Upper and below Lower band.

EasyBBANDSB¶

EasyBBANDSB(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the BBANDS %B, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template. Signals are generated when price breaks above Upper and below Lower band.

EasyBBANDSW¶

EasyBBANDSW(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the BBANDS %W, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template. Signals are generated when price breaks above Upper and below Lower band.

EasyBOP¶

EasyBOP(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the BOP, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on BOP, it's MA and selected signal type.

EasyCCI¶

EasyCCI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the CCI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on CCI, it's MA and selected signal type.

EasyCDL¶

EasyCDL(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the CDL, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on selected Candle Pattern.

EasyCMO¶

EasyCMO(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the CMO, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on CMO, it's MA and selected signal type.

EasyCOPPOCK¶

EasyCOPPOCK(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the COPPOCK, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on COPPOCK, it's MA and selected signal type.

EasyCRSI¶

EasyCRSI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the CRSI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template.

EasyDMI¶

EasyDMI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the ADX, +DI, -DI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on ADX level and +DI/-DI crossover.

EasyDONCHIAN¶

EasyDONCHIAN(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the DONCHIAN, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template. Signals are produced when price breaks above upper or below lower band.

EasyDPO¶

EasyDPO(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the DPO, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on DPO, it's MA and selected signal type.

EasyDX¶

EasyDX(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the DX, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetThresholdSignal() template.

EasyDynamicLongShortLevels¶

EasyDynamicLongShortLevels(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the DynamicBuySellLevel, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on dynamic short/long level.

EasyFastRSI¶

EasyFastRSI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the FastRSI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on FastRSI & RSI values and selected signal type.

EasyFIBONACCI¶

EasyFIBONACCI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the FIBONACCI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on FIBONACCI.

EasyFixedLongShortLevels¶

EasyFixedLongShortLevels(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the FixedLongShort, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on fixed long/short levels.

EasyICHIMOKU¶

EasyICHIMOKU(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the ICHIMOKU, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on ICHIMOKU and selected signal type.

EasyIMI¶

EasyIMI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the IMI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on IMI, it's MA and selected signal type.

EasyKELTNER¶

EasyKELTNER(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the KELTNER, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template. Signals are produced when price breaks above upper or below lower band.

EasyKRI¶

EasyKRI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the KRI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on KRI, it's MA and selected signal type.

EasyKST¶

EasyKST(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the KST, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on KST and selected signal type.

EasyLINEARREG¶

EasyLINEARREG(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the LINEARREG, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetAboveBelowSignal() template.

EasyMA¶

EasyMA(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the MA, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetAboveBelowSignal() template. Signals are produced when faster MA crosses above or below the slower MA.

EasyMACD¶

EasyMACD(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the MACD, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on MACD and selected signal type.

EasyMFI¶

EasyMFI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the MFI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on MFI, it's MA and selected signal type.

EasyMOM¶

EasyMOM(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the MOM, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on MOM, it's MA and selected signal type.

EasyOBV¶

EasyOBV(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the OBV, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on OBV, it's MA and selected signal type.

EasyPPO¶

EasyPPO(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the PPO, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on PPO and selected signal type.

EasyROC¶

EasyROC(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the ROC, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on ROC, it's MA and selected signal type.

EasyRSI¶

EasyRSI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the RSI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template.

EasySAR¶

EasySAR(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the SAR, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on SAR.

EasySlowRSI¶

EasySlowRSI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the SlowRSI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on SlowRSI & RSI values and selected signal type.

EasySSTOCH¶

EasySSTOCH(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the SSTOCH, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template.

EasySTOCH¶

EasySTOCH(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the STOCH, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on %K, %D and selected signal type.

EasySTOCHF¶

EasySTOCHF(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the STOCHF, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetCrossOverUnderSignal() template.

EasySTOCHRSI¶

EasySTOCHRSI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the STOCHRSI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetCrossOverUnderSignal() template.

EasyTRIX¶

EasyTRIX(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the TRIX, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on TRIX, it's MA and selected signal type.

EasyTSI¶

EasyTSI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the TSI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on TSI, it's MA and selected signal type.

EasyUDRSI¶

EasyUDRSI(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the UDRSI, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template.

EasyULTOSC¶

EasyULTOSC(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the ULTOSC, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on ULTOSC, it's MA and selected signal type.

EasyWILLR¶

EasyWILLR(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the WILLR, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetBuySellLevelSignal() template.

EasyZLMA¶

EasyZLMA(chartIndex, [name], [interval])

Automatically defines the input fields, calculates the ZLMA, plots the chart and returns the signal.

Parameters:

Name	Type	Required	Description
`chartIndex`	`number`	Yes	Chart index on which to plot.
`name`	`string`	No	Unique name of the indicator.
`interval`	`number`	No	Used interval for price data. Default is 0 and the main interval will be used.

Returns: enum

Returns a signal based on the GetAboveBelowSignal() template. Signals are produced when faster ZLMA crosses above or below the slower ZLMA.

Technical Analysis¶

ABANDS¶

ABANDS(high, low, close, period)

Acceleration Bands (ABANDS) created by Price Headley. Plots bands around a simple moving average as the midpoint and the upper and lower bands are of equal distance from this midpoint. Look for breakouts outside these bands, while also using the shorter time frames to define likely support and resistance levels at the lower and upper Acceleration Bands. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: dynamic

Returns an array with 3 results arrays. Upper on index 1, middle on index 2 and lower on index 3.

AD¶

AD(high, low, close, volume)

Accumulation/Distribution Line (AD) Developed by Marc Chaikin, the Accumulation Distribution Line is a volume-based indicator designed to measure the cumulative flow of money into and out of a security. Chaikin originally referred to the indicator as the Cumulative Money Flow Line. As with cumulative indicators, the Accumulation Distribution Line is a running total of each period's Money Flow Volume. First, a multiplier is calculated based on the relationship of the close to the high-low range. Second, the Money Flow Multiplier is multiplied by the period's volume to come up with a Money Flow Volume. A running total of the Money Flow Volume forms the Accumulation Distribution Line. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`volume`	`HaasNumberCollection`	Yes	Market volume array.

Returns: HaasNumberCollection

Returns the AD result.

ADOSC¶

ADOSC(high, low, close, volume, fastPeriod, slowPeriod)

Developed by Marc Chaikin, the Chaikin Oscillator (ADOSC) measures the momentum of the Accumulation Distribution Line using the MACD formula. (This makes it an indicator of an indicator.) The Chaikin Oscillator is the difference between the 3-day and 10-day EMAs of the Accumulation Distribution Line. Like other momentum indicators, this indicator is designed to anticipate directional changes in the Accumulation Distribution Line by measuring the momentum behind the movements. A momentum change is the first step to a trend change. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`volume`	`HaasNumberCollection`	Yes	Market volume array.
`fastPeriod`	`number`	Yes	Fast period length.
`slowPeriod`	`number`	Yes	Slow period length.

Returns: HaasNumberCollection

Returns the ADOSC result.

ADX¶

ADX(high, low, close, period)

The Average Directional Index (ADX) depicts a presence or absence of a trend. ADX advices on the strength of the dominant forces that move market prices here and now. In other words, ADX advices on trend tendencies: whether the trend is going to continue and strengthen or it is about to lose its positions. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ADX result.

ADXR¶

ADXR(high, low, close, period)

Average Directional Movement Index Rating (ADXR) is a smoothed version of ADX indicator and is used as a rating of the Directional Movement while smoothing out ADX values. If to compare ADXR to ADX, the smoother ADXR doesn't depend much on fast short-term market turns and reversals, which allows to minimize trading risks when relying on ADXR in the long term. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ADXR result.

AO¶

AO(hl2prices, shortLength, longLength)

The Awesome Oscillator (AO) shows the difference in between the 5 SMA and 34 SMA. If to be precise, 5 SMA of mid-prices is subtracted from 34 SMA of mid-prices which allows to see the market momentum. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`hl2prices`	`HaasNumberCollection`	Yes	Middle prices array ([High + Low] / 2).
`shortLength`	`number`	Yes	Shorter period length.
`longLength`	`number`	Yes	Longer period length.

Returns: HaasNumberCollection

Returns the AO result.

APO¶

APO(prices, fastPeriod, slowPeriod, [maType])

The Absolute Price Oscillator (APO) displays the difference between two exponential moving averages of an asset's price and is expressed as an absolute value. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`fastPeriod`	`number`	Yes	Faster period length.
`slowPeriod`	`number`	Yes	Slower period length.
`maType`	`enum`	No	MA type used in the calculation.

Returns: HaasNumberCollection

Returns the APO result.

AROON¶

AROON(high, low, period)

Aroon indicator is a young one, developed by Tushar Chande in 1995. Aroon was created to measure the strength of a trend and potentials for its continuation as well as the quality and type of the trend: up-trend, down-trend or sideways moving market. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`period`	`number`	Yes	Period length.

Returns: dynamic

Returns an array with 2 results arrays. Aroon down on index 1 & Aroon up on index 2.

AROONOSC¶

AROONOSC(high, low, period)

Aroon oscillator is based on Aroon Indicator. Aroon Oscillator is a trend-following indicator that illustrates the strength of a current trend and its potentials to last. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the AROONOSC result.

ATR¶

ATR(high, low, close, period)

The Average True Range (ATR), developed by Wilder, gives traders a feel of what the historical volatility was in order to prepare for trading in the actual market. Currency pairs that get lower ATR readings suggest lower market volatility, while currency pairs with higher ATR indicator readings require appropriate trading adjustments according to higher volatility. Wilder used the Moving average to smooth out the ATR indicator readings, so that ATR looks the way we know it. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ATR result.

AVGDEV¶

AVGDEV(close, period)

The Average Deviation (AVGDEV) is simply an averaged version of the Standard Deviation (STDDEV). This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the AVGDEV result.

AVGPRICE¶

AVGPRICE(open, high, low, close)

The Average Price (AVGPRICE) is the price between open, high, low and close (aka OHLC/4). This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`open`	`HaasNumberCollection`	Yes	Open prices array.
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.

Returns: HaasNumberCollection

Returns the AVGPRICE result.

BBANDS¶

BBANDS(prices, period, devUp, devDn, [maType])

The Bollinger Band (BBANDS) study created by John Bollinger plots upper and lower envelope bands around the price of the instrument. The width of the bands is based on the standard deviation of the closing prices from a moving average of price. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`devUp`	`number`	Yes	Standard deviation above the middle bands.
`devDn`	`number`	Yes	Standard deviation below the middle bands.
`maType`	`enum`	No	MA type used in the calculation.

Returns: dynamic

Returns an array with 3 results arrays. Upper on index 1, middle on index 2 and lower on index 3.

BETA¶

BETA(prices1, prices2, period)

The Beta (BETA) value can measure he volatility of a coin in relation to that of the market. For stock investors the beta value[1] of a portfolio is an important measure of risk, a value above 1 means the investment is more volatile than the market, a value lower than 1 is less volatile. It can be helpful to do a beta analysis for your portfolio to see how returns match up against the beta and spot real winners (low beta, high returns). Since most altcoins are still sold and bought using Bitcoin (BTC), its price could be used as the [Market's source data] (2^nd input parameter), which results BTC a beta of 1. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`prices1`	`HaasNumberCollection`	Yes	Asset's source data.
`prices2`	`HaasNumberCollection`	Yes	Market's source data.
`period`	`number`	Yes	Lookback period length.

Returns: HaasNumberCollection

Returns the BETA result.

BOP¶

BOP(open, high, low, close)

The Balance of Power (BOP) indicator measures the market strength of buyers against sellers by assessing the ability of each side to drive prices to an extreme level. The resulting values can be smoothed by a moving average. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`open`	`HaasNumberCollection`	Yes	Open prices array.
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.

Returns: HaasNumberCollection

Returns the BOP result.

CCI¶

CCI(high, low, close, period)

The Commodity Channel Index (CCI) compares the current price to an average price over a period of time. The indicator fluctuates above or below zero, moving into positive or negative territory. CCI is relatively high when prices are far above their average, but is relatively low when prices are far below their average. In this manner, CCI can be used to identify overbought and oversold levels, or to confirm trends. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the CCI result.

CDL¶

CDL(open, high, low, close, type, [penetration])

Candlestick pattern finder.

Parameters:

Name	Type	Required	Description
`open`	`HaasNumberCollection`	Yes	Open prices array.
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`type`	`enum`	Yes	The Candle Pattern (CDL) type.
`penetration`	`number`	No	Penetration threshold.

Returns: HaasNumberCollection

Returns a value. 0 is not found. Above 0 is long pattern found. Below 0 is short pattern found.

ChandelierExitLong¶

ChandelierExitLong(high, close, low, [depth], [multiplier])

Calculates the chandelier exit long price.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`depth`	`number`	No	Depth length. Default is 20.
`multiplier`	`number`	No	ATR multiplier. Default is 3.

Returns: number

Returns the target price.

ChandelierExitShort¶

ChandelierExitShort(high, close, low, [depth], [multiplier])

Calculates the chandelier exit short price.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`depth`	`number`	No	Depth length. Default is 20.
`multiplier`	`number`	No	ATR multiplier. Default is 3.

Returns: number

Returns the target price.

CHOP¶

CHOP(high, low, close, period)

The Choppiness Index, designed by E.W. Dreiss, is an indicator which is directionless. This means it doesn't show the market direction, rather reflects whether the market is choppy (trades sideways) or smooth (trending). The general way of interpreting this index is that higher values mean the market is choppy, while lower values equal directional movement.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the CHOP result.

CMO¶

CMO(prices, period)

The Chande Momentum Oscillator (CMO) indicates overbought conditions when it reaches the 50 level and oversold conditions when it reaches −50. You can also look for signals based on the CMO crossing above and below a signal line composed of a 9-period moving average of the 20 period CMO. This indicator measures the trend strength. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the CMO result.

COPPOCK¶

COPPOCK(prices, roc1, roc2, period)

The Coppock Curve (COPPOCK) is a smoothed momentum oscillator developed by Edwin “Sedge” Coppock. It can help you isolate buying opportunities and exit points. Even though it was originally designed for long-term analysis, it can be used on intraday, daily or weekly charts and the settings can be adjusted to suit one's style. The main signals are generated with crosses above and below the zero line. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`roc1`	`number`	Yes	Period length of first ROC.
`roc2`	`number`	Yes	Period length of second ROC.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the COPPOCK result.

CORREL¶

CORREL(source1, source2, period)

The Correlation (CORREL) is a statistical measure that reflects the correlation between two assets. In other words, this statistic tells us how closely one security is related to the other. Coefficient is above zero when both securities move in the same direction (up or down) and below zero when the two securities move in opposite directions. This indicator can also help traders diversify by identifying assets with a low or negative correlation to the market. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`source1`	`HaasNumberCollection`	Yes	First source data.
`source2`	`HaasNumberCollection`	Yes	Second source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the CORREL result.

CRSI¶

CRSI(prices, rsiPeriod, udPeriod, length)

The Connor's RSI (CRSI) is a momentum oscillator created by Larry Connors. Three components combine to form this momentum oscillator; The RSI, UpDown Length, and Rate-of-Change. Connors RSI outputs a value between 0 and 100, which is then used to identify short-term overbought and oversold conditions, or to confirm trends. This indicator is usually plotted to its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`rsiPeriod`	`number`	Yes	RSI period length.
`udPeriod`	`number`	Yes	UD period length.
`length`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the CRSI result.

DEMA¶

DEMA(prices, period)

The Double Exponential Moving Average (DEMA) was developed by Patrick Mulloy. It is used for smoothing price series and attempts to offer a smoothed average with less lag than a straight exponential moving average (EMA). This indicator is usually plotted directly on a price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the DEMA result.

DONCHIAN¶

DONCHIAN(high, low, period)

The Donchian Channel (DONCHIAN), developed by Richard Donchian. Donchian Channel is formed by taking the highest high and the lowest low of the last n periods. The area between the high and the low is the channel for the period chosen. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`period`	`number`	Yes	Period length.

Returns: dynamic

Returns an array with 3 results arrays. Upper on index 1, middle on index 2 and lower on index 3.

DPO¶

DPO(prices, shortLength, longLength)

The Detrended Price Oscillator (DPO) is an indicator in technical analysis that attempts to eliminate the long-term trends in prices by using a displaced moving average so it does not react to the most current price action. This allows the indicator to show intermediate overbought and oversold levels effectively. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`shortLength`	`number`	Yes	Shorter period length.
`longLength`	`number`	Yes	Longer period length.

Returns: HaasNumberCollection

Returns the DPO result.

DX¶

DX(high, low, close, period)

The Directional Movement Index (DX) is indicator in technical analysis which is based on two other Welles Wilder's indicators: negative directional indicator (-DI) and positive directional indicator (+DI). It was designed to evaluate the strength of a trend and to define a period of sideways trading. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the DX result.

EMA¶

EMA(prices, period)

The Exponential Moving Average (EMA) is a weighted moving average (WMA) that gives more weighting, or importance, to recent price data than the simple moving average (SMA) does. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the EMA result.

FastRSI¶

FastRSI(prices, period, signal)

The FastRSI is a custom implementation from Haasonline. It uses a custom RSI and EMA calculation.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`signal`	`number`	Yes	Signal length.

Returns: dynamic

Returns the FastRSI result.

HT_DCPERIOD¶

HT_DCPERIOD(prices)

Hilbert Transform - The Dominant Cycle Period (HT_DCPERIOD). The Hilbert Transform is a technique used to generate inphase and quadrature components of a de-trended real-valued "analytic-like" signal (such as a Price Series) in order to analyze variations of the instantaneous phase and amplitude. HTPeriod (or MESA Instantaneous Period) returns the period of the Dominant Cycle of the analytic signal as generated by the Hilbert Transform. The Dominant Cycle can be thought of as being the "most likely" period (in the range of 10 to 40) of a sine function of the Price Series.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.

Returns: HaasNumberCollection

Returns the HT_DCPERIOD result.

HT_DCPHASE¶

HT_DCPHASE(prices)

Hilbert Transform - The Dominant Cycle Phase (HT_DCPHASE) The Hilbert Transform is a technique used to generate inphase and quadrature components of a de-trended real-valued "analytic-like" signal (such as a Price Series) in order to analyze variations of the instantaneous phase and amplitude. HTDCPhase returns the Hilbert Transform Phase of the Dominant Cycle. The Dominant Cycle Phase lies in the range of 0 to 360 degrees.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.

Returns: HaasNumberCollection

Returns the HT_DCPHASE result.

HT_PHASOR¶

HT_PHASOR(prices)

Hilbert Transform - The Phasor Components (HT_PHASOR) The Hilbert Transform is a technique used to generate inphase and quadrature components of a de-trended real-valued "analytic-like" signal (such as a Price Series) in order to analyze variations of the instantaneous phase and amplitude. In-Phase is the Hilbert Transform generated In-Phase component of the input Price Series. Quadrature is the Hilbert Transform generated Quadrature component of the input Price Series.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.

Returns: dynamic

Returns the HT_PHASOR result.

HT_SINE¶

HT_SINE(prices)

Hilbert Transform - The SineWave (HT_SINE) The Hilbert Transform is a technique used to generate inphase and quadrature components of a de-trended real-valued "analytic-like" signal (such as a Price Series) in order to analyze variations of the instantaneous phase and amplitude. HTDCPhase returns the Hilbert Transform Phase of the Dominant Cycle. The Dominant Cycle Phase lies in the range of 0 to 360 degrees. The Hilbert Transform Sine is just the sine of the DC Phase. The Hilbert Transform Lead Sine is just the sine of the DC Phase advanced by 45 degrees.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.

Returns: dynamic

Returns the HT_SINE result.

HT_TRENDLINE¶

HT_TRENDLINE(prices)

Hilbert Transform - The Trend Line (HT_TRENDLINE) The Hilbert Transform is a technique used to generate inphase and quadrature components of a de-trended real-valued "analytic-like" signal (such as a Price Series) in order to analyze variations of the instantaneous phase and amplitude. HTTrendline (or MESA Instantaneous Trendline) returns the Price Series value after the Dominant Cycle of the analytic signal as generated by the Hilbert Transform has been removed. The Dominant Cycle can be thought of as being the "most likely" period (in the range of 10 to 40) of a sine function of the Price Series.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.

Returns: HaasNumberCollection

Returns the HT_TRENDLINE result.

HT_TRENDMODE¶

HT_TRENDMODE(prices)

Hilbert Transform - The Trend Mode (HT_TRENDMODE).

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.

Returns: HaasNumberCollection

Returns the HT_TRENDMODE result.

ICHIMOKU¶

ICHIMOKU(prices, tenkansen, kijunsen, senkouspanb)

The Ichimoku Clouds (ICHIMOKU) also known as Ichimoku Kinko Hyo, developed by journalist Goichi Hosoda, is a versatile indicator that defines support and resistance, identifies trend direction, gauges momentum and provides trading signals. Ichimoku Kinko Hyo translates into “one look equilibrium chart”. With one look, chartists can identify the trend and look for potential signals within that trend. Even though the Ichimoku Cloud may seem complicated when viewed on the price chart, it's actually a rather straightforward indicator; the concepts are easy to understand and the signals are well-defined.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`tenkansen`	`number`	Yes	Period length for Tenkan-sen.
`kijunsen`	`number`	Yes	Period length for Kijun-sen.
`senkouspanb`	`number`	Yes	Period length for Senkou Span B.

Returns: dynamic

Returns the ICHIMOKU result.

IMI¶

IMI(open, close, period)

The Intraday Momentum Index (IMI), developed by Tushar Chande, combines aspects of candlestick analysis with the relative strength index (RSI). The intraday indicator was designed to provide investors with a way to find optimal days to buy and sell.

Parameters:

Name	Type	Required	Description
`open`	`HaasNumberCollection`	Yes	Open prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the IMI result.

KAMA¶

KAMA(prices, period, [fastest], [slowest])

The Kaufman's Adaptive Moving Average (KAMA), developed by Perry Kaufman, is an intelligent moving average. The powerful trend-following indicator is based on the Exponential Moving Average (EMA) and is responsive to both trend and volatility. Like all moving averages, the KAMA can be used to visualize the trend. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`fastest`	`number`	No	Fastest smoothing period length.
`slowest`	`number`	No	Slowest smoothing period length.

Returns: HaasNumberCollection

Returns the KAMA result.

KAMA2¶

KAMA2(prices, period, [fastest], [slowest])

The Kaufman's Adaptive Moving Average (KAMA2), developed by Perry Kaufman, is an intelligent moving average. The powerful trend-following indicator is based on the Exponential Moving Average (EMA) and is responsive to both trend and volatility. Like all moving averages, the KAMA can be used to visualize the trend. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`fastest`	`number`	No	Fastest smoothing period length.
`slowest`	`number`	No	Slowest smoothing period length.

Returns: HaasNumberCollection

Returns the KAMA2 result.

KELTNER¶

KELTNER(high, low, close, emaPeriod, [atrPeriod], [multiplier])

The Keltner Channel (KELTNER), originally developed by Chester Keltner, extended by Linda Bradford Raschke, uses a volatility-based envelopes set above and below an exponential moving average. This indicator is similar to Bollinger Bands, which use the standard deviation (STDDEV) to set the bands. Instead of using the standard deviation, Keltner Channels use the Average True Range (ATR) to set channel width. The channels are typically set 2x ATR values above and below the EMA. The exponential moving average dictates direction and the Average True Range sets channel width. Keltner Channels are a trend following indicator used to identify reversals with channel breakouts and channel direction. Channels can also be used to identify overbought and oversold levels when the market is ranging. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`emaPeriod`	`number`	Yes	EMA period length.
`atrPeriod`	`number`	No	ATR period length.
`multiplier`	`number`	No	ATR multiplier.

Returns: dynamic

Returns the KELTNER result.

KRI¶

KRI(prices, period)

Kairi method (KRI) is similar to Momentum according to its application mode. The oscillator fluctuates around 0 but the fluctuation range is wider. KRI can be used for any time frame. It is one of the simplest oscillators. When creating the indicator, deviation of a price from its simple moving average is calculated and the result is shown in percentage of the average.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the KRI result.

KST¶

KST(prices, rocPeriod1, rocSmaPeriod1, rocPeriod2, rocSmaPeriod2, rocPeriod3, rocSmaPeriod3, rocPeriod4, rocSmaPeriod4, signalPeriod)

Know Sure Thing (KST), developed by Martin Pring, is a momentum oscillator based on the smoothed Rate-of-Change (ROC) for four different periods. In short, KST measures price momentum for four different price cycles, combining them into a single momentum oscillator. Like any other unbound momentum oscillator, chartists can use KST to look for divergences, signal line crossovers, and centerline crossovers. Pring frequently applied trend lines to KST. Although trend line signals do not occur often, Pring notes that such breaks reinforce signal line crossovers. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`rocPeriod1`	`number`	Yes	1^st ROC period length.
`rocSmaPeriod1`	`number`	Yes	1^st SMA-of-ROC period length.
`rocPeriod2`	`number`	Yes	2^nd ROC period length.
`rocSmaPeriod2`	`number`	Yes	2^nd SMA-of-ROC period length.
`rocPeriod3`	`number`	Yes	3^rd ROC period length.
`rocSmaPeriod3`	`number`	Yes	3^rd SMA-of-ROC period length.
`rocPeriod4`	`number`	Yes	4^th ROC period length.
`rocSmaPeriod4`	`number`	Yes	4^th SMA-of-ROC period length.
`signalPeriod`	`number`	Yes	Signal period length.

Returns: dynamic

Returns the KST result.

LINEARREG¶

LINEARREG(prices, period, [type])

The Linear Regression (LINEARREG) is a trend following indicator that plots a dynamic version of the linear regression indicator. The concept is to track the trend not using basic averages or weighted averages – as in the case of moving averages – but rather by taking the "best fit" line to match the data.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`type`	`enum`	No	The type of the Linear Regression.

Returns: HaasNumberCollection

Returns the LINEARREG result.

MA¶

MA(prices, period, maType)

The Moving Averages (MA) combines multiple Moving Averages in one command. Works well together with the InputMaTypes() command. Supported types are: 'sma', 'ema', 'dema', 'tema', 'trima', 't3', 'mama', 'kama' and 'wma'.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`maType`	`enum`	Yes	The type of Moving Average.

Returns: HaasNumberCollection

Returns the MA result.

MACD¶

MACD(prices, fastPeriod, slowPeriod, signalPeriod)

The Moving Average Convergence Divergence (MACD), developed by , is a trend-following momentum indicator that shows the relationship between two moving averages of an asset's price. The MACD is calculated by subtracting the longer-period Exponential Moving Average (EMA) from the shorter-period EMA.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`fastPeriod`	`number`	Yes	Fast period length.
`slowPeriod`	`number`	Yes	Slow period length.
`signalPeriod`	`number`	Yes	Signal period length.

Returns: dynamic

Returns the MACD result.

MACDEXT¶

MACDEXT(prices, fastPeriod, fastType, slowPeriod, slowType, signalPeriod, signalType)

The Moving Average Convergence Divergence [Extended] (MACDEXT) is the same as MACD, but provides more parameters to fiddle with.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`fastPeriod`	`number`	Yes	Fast period length.
`fastType`	`enum`	Yes	Fast MA type.
`slowPeriod`	`number`	Yes	Slow period length.
`slowType`	`enum`	Yes	Slow MA type.
`signalPeriod`	`number`	Yes	Signal period length.
`signalType`	`enum`	Yes	Signal MA type.

Returns: dynamic

Returns the MACDEXT result.

MACDFIX¶

MACDFIX(prices, signalPeriod)

The Moving Average Convergence Divergence [Fixed] (MACDFIX) is the same as MACD, but uses fixed periods for the fast (12) and slow (26) EMAs.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`signalPeriod`	`number`	Yes	Signal period length.

Returns: dynamic

Returns the MACDFIX result.

MAMA¶

MAMA(prices, fastlimit, slowlimit)

The Mesa Adaptive Moving Average (MAMA) is a trend-following indicator which adapts to price movement "based on the rate change of phase as measured by the Hilbert Transform Discriminator". This method of adaptation features a fast and a slow moving average so that the composite moving average swiftly responds to price changes and holds the average value until the next bar’s close. The Averages act as support and resistance areas and the price will tend to react to them. This makes pullbacks to the MAMA and FAMA suitable with-trend entry areas. This indicator is usually plotted on the price chart. NOTE: The FastLimit and SlowLimit parameters should be between 0.01 and 0.99.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`fastlimit`	`number`	Yes	Limit for fastest speed (bigger = faster).
`slowlimit`	`number`	Yes	Limit for slowest speed (smaller = slower).

Returns: dynamic

Returns the MAMA result.

MAVP¶

MAVP(prices, inPeriods, minPeriod, maxPeriod, [maType])

The Moving Average Variable Period (MAVP) is a moving average that adjusts itself based on the period settings given to it. The [inPeriods] array should be the same length as [prices] array. The Nth period will be used to calculate the Nth data point. It is essentially the same as changing the period yourself using the MA() command, but using this command instead, you can use for example the absolute (ABS) CMO output values as the periods: local periods = Abs(CMO(ClosePrices(), 20)).

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`inPeriods`	`HaasNumberCollection`	Yes	Array of period lengths (must be equal length to source data!).
`minPeriod`	`number`	Yes	Minimum allowed period (fastest).
`maxPeriod`	`number`	Yes	Maximum allowed period (slowest).
`maType`	`enum`	No	Type of the Moving Average.

Returns: HaasNumberCollection

Returns the MAVP result.

MAXINDEX¶

MAXINDEX(prices, period)

Max Index (MAXINDEX) will return the index of the highest high in source data within the given period. You can see this index as the "distance" to the highest high. To get the highest high value, use this index with the input array or use GetHigh/GetHighs command instead.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: number

Returns the MAXINDEX result.

MEDPRICE¶

MEDPRICE(high, low)

Median Price (MEDPRICE) indicator is simply the midpoint of market's prices. The Typical Price and Weighted Close are similar indicators. The Median Price indicator provides a simple, single-line chart of the market's"average price." This average price is useful when you want a simpler view of prices. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.

Returns: HaasNumberCollection

Returns the MEDPRICE result.

MFI¶

MFI(high, low, close, volume, period)

The Money Flow Index (MFI), developed by Gene Quong and Avrum Soudack, is an oscillator that uses both price and volume to measure buying and selling pressure. MFI is also known as volume-weighted RSI. MFI starts with the typical price for each period. Money flow is positive when the typical price rises (buying pressure) and negative when the typical price declines (selling pressure). A ratio of positive and negative money flow is then plugged into an RSI formula to create an oscillator that moves between zero and one hundred. As a momentum oscillator tied to volume, MFI is best suited to identify reversals and price extremes with a variety of signals.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`volume`	`HaasNumberCollection`	Yes	Market volume array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the MFI result.

MIDPOINT¶

MIDPOINT(prices, period)

Midpoint price (MIDPOINT) is similar to the Midprice (MIDPRICE), except the highest and lowest values are returned from the same input field; the source data. Midpoint indicator calculates the highest close and lowest close within the look back period and averages the two values.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the MIDPOINT result.

MIDPRICE¶

MIDPRICE(high, low, period)

MidPrice (MIDPRICE) returns the midpoint value from two different input fields. The Midprice indicator calculates the highest high and lowest low within the look back period and averages the two values to return the Midprice.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the MIDPRICE result.

MININDEX¶

MININDEX(prices, period)

Min Index (MININDEX) will return the index of the lowest low in source data within the given period. You can see this index as the "distance" to the lowest low. To get the lowest low value, use this index with the input array or use GetLow/GetLows command instead.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: number

Returns the MININDEX result.

MINUSDI¶

MINUSDI(high, low, close, period)

The Negative Directional indicator (MINUSDI) measures the presence of a downtrend and is part of the Average Directional Index (ADX). If -DI is sloping upward, it's a sign that the price downtrend is getting stronger. This indicator is nearly always plotted along with the Positive Directional indicator (PLUSDI).

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the MINUSDI result.

MINUSDM¶

MINUSDM(high, low, period)

The Negative Directional Movement (MINUSDM) indicator is the basis of the Negative Directional indicator (MINUSDI).

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the MINUSDM result.

MOM¶

MOM(prices, period)

The Momentum Indicator (MOM) is a leading indicator measuring a asset's rate-of-change. It compares the current price with the previous price from a number of periods ago. The ongoing plot forms an oscillator that moves above and below 0. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the MOM result.

NATR¶

NATR(high, low, close, period)

The Normalized Average True Range (NATR) is the normalized version of the Average True Range (ATR) indicator.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the NATR result.

OBV¶

OBV(prices, volumes)

The On-Balance Volume (OBV), developed by Joseph Granville, is a momentum indicator that uses volume flow to predict changes in asset price. He believed that when volume increases sharply without a significant change in the asset's price, the price will eventually jump upward or fall downward. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`volumes`	`HaasNumberCollection`	Yes	Market volume array.

Returns: HaasNumberCollection

Returns the OBV result.

PLUSDI¶

PLUSDI(high, low, close, period)

The Positive Directional indicator (PLUSDI) measures the presence of an uptrend and is part of the Average Directional Index (ADX). If +DI is sloping upward, it's a sign that the price uptrend is getting stronger. This indicator is nearly always plotted along with the Negative Directional indicator (MINUSDI).

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the PLUSDI result.

PLUSDM¶

PLUSDM(high, low, period)

The Positive Directional Movement (PLUSDM) indicator is the basis of the Negative Directional indicator (PLUSDI).

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the PLUSDM result.

PPO¶

PPO(prices, fastPeriod, slowPeriod, maType)

The Percentage Price Oscillator (PPO) is a momentum oscillator that measures the difference between two moving averages as a percentage of the larger moving average. As with its cousin, MACD, the Percentage Price Oscillator is shown with a signal line, a histogram and a centerline.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`fastPeriod`	`number`	Yes	Fast period length.
`slowPeriod`	`number`	Yes	Slow period length.
`maType`	`enum`	Yes	The type of Moving Average used.

Returns: HaasNumberCollection

Returns the PPO result.

ROC¶

ROC(prices, period)

The Rate-of-Change (ROC) is often used when speaking about momentum, and it can generally be expressed as a ratio between a change in one variable relative to a corresponding change in another; graphically, the rate of change is represented by the slope of a line. The ROC is often illustrated by the Greek letter delta. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ROC result.

ROCP¶

ROCP(prices, period)

The Rate-of-Change Percentage (ROCP) is an alternative for ROC, showing the values as percentages rather than absolutes. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ROCP result.

ROCR¶

ROCR(prices, period)

The Rate-of-Change Ratio (ROCR) is an alternative for ROC, showing the values as a ratio rather than absolutes. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ROCR result.

ROCR100¶

ROCR100(prices, period)

The Rate-of-Change Ratio 100 Scale (ROCR100) is an alternative for ROC, showing the values as a ratio rather than absolutes. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ROCR100 result.

RSI¶

RSI(prices, period)

The Relative Strength Index (RSI), developed by J. Welles Wilder, is a momentum oscillator that measures the speed and change of price movements. The RSI oscillates between zero and 100. Traditionally the RSI is considered overbought when above 70 and oversold when below 30, but can also be used to confirm trends. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the RSI result.

RSI_ALTB¶

RSI_ALTB(prices, period)

The Relative Strength Index (RSI_ALTB), developed by J. Welles Wilder, is a momentum oscillator that measures the speed and change of price movements. The RSI oscillates between zero and 100. Traditionally the RSI is considered overbought when above 70 and oversold when below 30, but can also be used to confirm trends. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the RSI_ALTB result.

SAR¶

SAR(high, low, acceleration, maxSpeed)

The Parabolic Stop-And-Reverse (SAR), developed by Welles Wilder, refers to a price-and-time-based trading system. Wilder called this the "Parabolic Time/Price System." SAR stands for "stop and reverse", which is the actual indicator used in the system. SAR trails price as the trend extends over time. The indicator is below prices as they're rising and above prices as they're falling. In this regard, the indicator stops and reverses when the price trend reverses and breaks above or below the indicator. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`acceleration`	`number`	Yes	Acceleration amount.
`maxSpeed`	`number`	Yes	Maximum speed.

Returns: HaasNumberCollection

Returns the SAR result.

SAREXT¶

SAREXT(high, low, startValue, offsetOnReverse, accelInitLong, accelLong, accelMaxLong, accelInitShort, accelShort, accelMaxShort)

The Parabolic Stop-And-Reverse [Extended] (SAREXT) is the same indicator as SAR(), but opens up more parameters for the user to modify.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`startValue`	`number`	Yes	Starting value.
`offsetOnReverse`	`number`	Yes	Offset amount on reverse point.
`accelInitLong`	`number`	Yes	Initial acceleration for Long position.
`accelLong`	`number`	Yes	Acceleration amount for Long position.
`accelMaxLong`	`number`	Yes	Maximum acceleration for Long position.
`accelInitShort`	`number`	Yes	Initial acceleration for Short position.
`accelShort`	`number`	Yes	Acceleration amount for Short position.
`accelMaxShort`	`number`	Yes	Maximum acceleration for Short position.

Returns: HaasNumberCollection

Returns the SAREXT result.

SlowRSI¶

SlowRSI(prices, period, signal)

The SlowRSI is a custom implementation from Haasonline. It uses a custom RSI and EMA calculation.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`signal`	`number`	Yes	Signal length.

Returns: dynamic

Returns the SlowRSI result.

SMA¶

SMA(prices, period)

The Simple Moving Average (SMA) is an arithmetic moving average calculated by adding recent closing prices and then dividing that by the number of time periods in the calculation average. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the SMA result.

SMA2¶

SMA2(prices, period)

The Simple Moving Average (SMA2) is an arithmetic moving average calculated by adding recent closing prices and then dividing that by the number of time periods in the calculation average. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the SMA2 result.

SSTOCH¶

SSTOCH(prices, period)

The Simple Stochastic (SSTOCH)

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the SSTOCH result.

STDDEV¶

STDDEV(prices, period, deviation)

The Standard Deviation (STDDEV) is an indicator that measures the size of recent price moves of an asset, to predict how volatile the price may be in future. It can help you decide whether the volatility of the price is likely to increase or decrease. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`deviation`	`number`	Yes	Amount of deviation.

Returns: HaasNumberCollection

Returns the STDDEV result.

STOCH¶

STOCH(high, low, close, fastK, slowK, slowD)

The Stochastic Oscillator [Full] (STOCH), developed by Dr. George Lane, is a momentum indicator that uses support and resistance levels. The term stochastic refers to the point of a current price in relation to its price range over a period of time.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`fastK`	`number`	Yes	Fast %K period length.
`slowK`	`number`	Yes	Slow %K period length.
`slowD`	`number`	Yes	Slow %D period length.

Returns: dynamic

Returns the STOCH result.

STOCHF¶

STOCHF(high, low, close, fastK, fastD, maType)

The Stochastic Oscillator [Fast] (STOCHF).

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`fastK`	`number`	Yes	Fast %K period length.
`fastD`	`number`	Yes	Fast %D period length.
`maType`	`enum`	Yes	MA type.

Returns: dynamic

Returns the STOCHF result.

STOCHRSI¶

STOCHRSI(prices, rsiPeriod, fastK, fastD, maType)

The Stochastic-RSI (STOCHRSI) is essentially an indicator of an indicator. The Stochastic RSI is an oscillator that calculates a value between 0 and 1 which is then plotted as a line. This indicator is primarily used for identifying overbought and oversold conditions. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`rsiPeriod`	`number`	Yes	Period length.
`fastK`	`number`	Yes	Fast %K period length.
`fastD`	`number`	Yes	Fast %D period length.
`maType`	`enum`	Yes	The type of Moving Average.

Returns: dynamic

Returns the STOCHRSI result.

T3¶

T3(prices, period, vFactor)

The Triple Exponential Moving Average (T3), developed by Tim Tillson, attempts to offers a moving average with better smoothing than traditional exponential moving average. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`vFactor`	`number`	Yes	Volume factor between 0 and 1.

Returns: HaasNumberCollection

Returns the T3 result.

TEMA¶

TEMA(prices, period)

The Triple Exponential Moving Average (TEMA), developed by Patrick Mulloy, offers a moving average with less lag then traditional exponential moving average. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the TEMA result.

TRANGE¶

TRANGE(high, low, close)

The True Range (TRANGE) developed by J. Welles Wilder, is a technical analysis volatility indicator. The indicator does not provide an indication of price trend, simply the degree of price volatility. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.

Returns: HaasNumberCollection

Returns the TRANGE result.

TRIMA¶

TRIMA(prices, period)

The Triangular Moving Average (TRIMA) is similar to other moving averages in that it shows the average (or mean) price over a specified number of data points (usually a number of price bars). However, the triangular moving average differs in that it is double smoothed — which also means it is averaged twice. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the TRIMA result.

TRIX¶

TRIX(prices, period)

TRIX is a momentum oscillator that displays the percent rate of change of a triple exponentially smoothed moving average. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the TRIX result.

TSF¶

TSF(prices, period)

Time Series Forecast (TSF) is a linear regression calculation that plots each bar’s current regression value using the least square fit method. This indicator is sometimes referred to as a moving linear regression similar to a moving average. For example, the TSF value that covers 10 days will have the same value as a 10-day Time Series Forecast. This differs slightly from the Linear Regression indicator in that the Linear Regression indicator does not add the slope to the ending value of the regression line. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the TSF result.

TSI¶

TSI(prices, periodA, periodB)

The True Strength Index (TSI) is a momentum oscillator based on a double smoothing of price changes.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`periodA`	`number`	Yes	First smoothing period length.
`periodB`	`number`	Yes	Second smoothing period length.

Returns: HaasNumberCollection

Returns the TSI result.

TYPPRICE¶

TYPPRICE(high, low, close)

Typical Price (TYPPRICE) is simply an average of asset's price. The Median Price (MEDPRICE) and Weighted Close Price (WCLPRICE) are similar indicators. The Typical Price indicator provides a simple, single-line plot of the asset's average price.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.

Returns: HaasNumberCollection

Returns the TYPPRICE result.

UDRSI¶

UDRSI(prices, period)

The UpDown RSI (UDRSI) is an RSI Based Indicator that uses an alternative formula to calculate the momentum oscillator. This Indicator works exactly like RSI but instead of determining this from the difference in price, it is calculated by what is called trend stepping. Trend stepping basically measures the closing price of a range of candles and when the price of one candle is lower than the next, it is calculated as 1 price step up. Because of this alternative calculation of Relative Strength Index, Up Down RSI produces some unique Trade Signals.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the UDRSI result.

ULTOSC¶

ULTOSC(high, low, close, periodA, periodB, periodC)

The Ultimate Oscillator (ULTOSC), developed by Larry Williams, is a momentum oscillator designed to capture momentum across three different timeframes. The multiple timeframe objective seeks to avoid the pitfalls of other oscillators. Many momentum oscillators surge at the beginning of a strong advance, only to form a bearish divergence as the advance continues. This is because they are stuck with one timeframe. The Ultimate Oscillator attempts to correct this fault by incorporating longer timeframes into the basic formula. Williams identified a buy signal a based on a bullish divergence and a sell signal based on a bearish divergence.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`periodA`	`number`	Yes	Fast period length.
`periodB`	`number`	Yes	Mid period length.
`periodC`	`number`	Yes	Slow period length.

Returns: HaasNumberCollection

Returns the ULTOSC result.

VAR¶

VAR(prices, period, deviation)

Variance (VAR), developed by Dr. Rene Koch, is the variance ratio indicator that measures the degree of mean reversion or trendiness in a time series. It is an easy and fast way to detect whether a price series is trending, mean reverting or following a random walk.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`deviation`	`number`	Yes	The amount of deviation.

Returns: HaasNumberCollection

Returns the VAR result.

WCLPRICE¶

WCLPRICE(high, low, close)

Weighted Close Price (WCLPRICE) is simply an average of an asset's price. It gets its name from the fact that extra weight is given to the closing price. The Median Price (MEDPRICE) and Typical Price (TYPPRICE) are similar indicators.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.

Returns: HaasNumberCollection

Returns the WCLPRICE result.

WILLR¶

WILLR(high, low, close, period)

Williams %R (WILLR), also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. This indicator is usually plotted on its own chart.

Parameters:

Name	Type	Required	Description
`high`	`HaasNumberCollection`	Yes	High prices array.
`low`	`HaasNumberCollection`	Yes	Low prices array.
`close`	`HaasNumberCollection`	Yes	Close prices array.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the WILLR result.

WiMA¶

WiMA(prices, period)

Wilder Moving Average (WiMA), also called Wilder's Smoothed Moving Average, is similar to the Exponential Moving Average. Compared to other moving averages, Wilder's MA responds more slowly to price changes, where an n-period Wilder MA gives similar values to a 2n- period EMA. For example, a 14-period EMA has almost the same values as a 7-period Wilder MA.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the WiMA result.

WMA¶

WMA(prices, period)

The Weighted Moving Average (WMA) puts more weight on recent data and less on past data. This is done by multiplying each bar's price by a weighting factor. Because of its unique calculation, WMA will follow prices more closely than a corresponding Simple Moving Average.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the WMA result.

WWS¶

WWS(prices, period)

Welles Wilder's Smoothing (WWS), developed by J. Welles Wilder, Jr. and is part of the Wilder's RSI indicator implementation. This indicator smooths price movements to help you identify and spot bullish and bearish trends. This indicator is usually plotted on the price chart.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the WWS result.

ZLEMA¶

ZLEMA(prices, period)

The Zero-Lag Exponential Moving Average (ZLEMA), developed by John Ehlers and Ric Way. As is the case with the double exponential moving average (DEMA) and the triple exponential moving average (TEMA) and as indicated by the name, the aim is to eliminate the inherent lag associated to all trend following indicators which average a price over time. The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.

Returns: HaasNumberCollection

Returns the ZLEMA result.

ZLMA¶

ZLMA(prices, period, [maType], [maPeriod1], [maPeriod2])

The Zero Lag Moving Average (ZLMA) is the same as ZLEMA, but opens up the possibility to change the type of the moving average. The idea is do a regular moving average (MA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.

Parameters:

Name	Type	Required	Description
`prices`	`HaasNumberCollection`	Yes	Source data.
`period`	`number`	Yes	Period length.
`maType`	`enum`	No	The type of Moving Average.
`maPeriod1`	`number`	No	Additional parameter used with 'kama' and 'mama' types. (1)
`maPeriod2`	`number`	No	Additional parameter used with 'kama' and 'mama' types. (2)

Returns: dynamic

Returns the ZLMA result in an array.

Technical Analysis Helpers¶

CrossOver¶

CrossOver(value1, value2)

Checks if a crossover occurs between value1 and value2.

Parameters:

Name	Type	Required	Description
`value1`	`number\|table`	Yes	Source value(s) 1.
`value2`	`number\|table`	Yes	Source value(s) 2.

Returns: boolean

Returns true if a crossover occurs between value1 and value2. Otherwise false.

CrossOverSince¶

CrossOverSince(value1, value2)

Calculates the number of ticks since the last crossover.

Parameters:

Name	Type	Required	Description
`value1`	`number\|table`	Yes	Source value(s) 1.
`value2`	`number\|table`	Yes	Source value(s) 2.

Returns: number

Returns the number of ticks since the last crossover. Return value of 1 represents the crossunder happening 'now'.

CrossUnder¶

CrossUnder(value1, value2)

Checks if a crossunder occurs between value1 and value2.

Parameters:

Name	Type	Required	Description
`value1`	`number\|table`	Yes	Source value(s) 1.
`value2`	`number\|table`	Yes	Source value(s) 2.

Returns: boolean

Returns true if a crossunder occurs between value1 and value2. Otherwise false.

CrossUnderSince¶

CrossUnderSince(value1, value2)

Calculates the number of ticks since the last crossunder.

Parameters:

Name	Type	Required	Description
`value1`	`number\|table`	Yes	Source value(s) 1.
`value2`	`number\|table`	Yes	Source value(s) 2.

Returns: number

Returns the number of ticks since the last crossunder. Return value of 1 represents the crossunder happening 'now'.

GetSwing¶

GetSwing(input1, input2)

Calculates the amount of swing in percentages.

Parameters:

Name	Type	Required	Description
`input1`	`number\|table`	Yes	Source value(s) 1.
`input2`	`number\|table`	Yes	Source value(s) 2.

Returns: HaasNumberCollection

Returns the amount of swing in percentages.

IsFalling¶

IsFalling(array, lookback)

Checks if the values are decreasing towards the newest within the lookback period.

Parameters:

Name	Type	Required	Description
`array`	`HaasNumberCollection`	Yes	Source values.
`lookback`	`number`	Yes	Lookback value.

Returns: boolean

Returns true if the values are decreasing towards the newest within the lookback period. Otherwise false.

IsFallingSince¶

IsFallingSince(array, lookback)

Counts the number of falling ticks.

Parameters:

Name	Type	Required	Description
`array`	`HaasNumberCollection`	Yes	Source values.
`lookback`	`number`	Yes	Lookback value.

Returns: number

Returns the number of ticks the data is falling.

IsRising¶

IsRising(array, lookback)

Checks if the values are increasing towards the newest within the lookback period.

Parameters:

Name	Type	Required	Description
`array`	`HaasNumberCollection`	Yes	Source values.
`lookback`	`number`	Yes	Lookback value.

Returns: boolean

Returns true if the values are increasing towards the newest within the lookback period. Otherwise false.

IsRisingSince¶

IsRisingSince(array, lookback)

Counts the number of rising ticks.

Parameters:

Name	Type	Required	Description
`array`	`HaasNumberCollection`	Yes	Source values.
`lookback`	`number`	Yes	Lookback value.

Returns: number

Returns the number of ticks the data is rising.

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