Docs/sdk/TA Library Reference

TA Library Reference

Method-level reference for the `ta.*` indicator and signal library.

Reference

This page lists the current ta.* surface grouped by function family.

Moving Averages

Method	Purpose
`ta.sma(source, length)`	Simple moving average
`ta.ema(source, length)`	Exponential moving average
`ta.rma(source, length)`	Wilder moving average
`ta.wma(source, length)`	Weighted moving average
`ta.hma(source, length)`	Hull moving average
`ta.dema(source, length)`	Double EMA
`ta.tema(source, length)`	Triple EMA
`ta.smma(source, length)`	Smoothed moving average
`ta.alma(source, length, offset?, sigma?)`	Arnaud Legoux moving average
`ta.vwma(source, length, volume?)`	Volume-weighted moving average

Method	Purpose
`ta.rsi(source, length)`	Relative Strength Index
`ta.stoch(close, high, low, length)`	Stochastic oscillator
`ta.stochRsi(source, rsiLength?, stochLength?, smoothK?, smoothD?)`	Stochastic RSI
`ta.macd(source, fastLength?, slowLength?, signalLength?)`	MACD with signal and histogram
`ta.cci(high, low, close, length)`	Commodity Channel Index
`ta.mfi(high, low, close, volume, length)`	Money Flow Index
`ta.williamsR(high, low, close, length)`	Williams %R
`ta.roc(source, length)`	Rate of change
`ta.momentum(source, length)`	Momentum difference
`ta.awesomeOscillator(high, low)`	Awesome oscillator

Method	Purpose
`ta.tr(high, low, close)`	True range
`ta.atr(high, low, close, length)`	Average true range
`ta.stdev(source, length)`	Standard deviation
`ta.dev(source, length)`	Mean deviation
`ta.variance(source, length)`	Variance
`ta.bbands(source, length?, mult?)`	Bollinger Bands
`ta.bbandsPercentB(source, length?, mult?)`	Bollinger %B
`ta.bbandsWidth(source, length?, mult?)`	Bollinger Band Width
`ta.keltner(high, low, close, length?, mult?, useTr?)`	Keltner Channels
`ta.donchian(high, low, length)`	Donchian Channels
`ta.historicalVolatility(source, length, annualize?)`	Historical volatility
`ta.chaikinVolatility(high, low, length?, rocLength?)`	Chaikin volatility

Method	Purpose
`ta.adx(high, low, close, length?)`	ADX with `plusDI` and `minusDI`
`ta.sar(high, low, start?, increment?, maximum?)`	Parabolic SAR
`ta.aroon(high, low, length?)`	Aroon values and oscillator
`ta.supertrend(high, low, close, length?, mult?)`	Supertrend value and direction
`ta.ichimoku(high, low, close, conversionPeriods?, basePeriods?, spanBPeriods?, displacement?)`	Ichimoku components
`ta.vortex(high, low, close, length?)`	Vortex indicator
`ta.trix(source, length)`	TRIX

Method	Purpose
`ta.crossover(seriesA, seriesB)`	Cross above
`ta.crossunder(seriesA, seriesB)`	Cross below
`ta.cross(seriesA, seriesB)`	Any cross
`ta.highest(source, length)`	Highest value in lookback
`ta.lowest(source, length)`	Lowest value in lookback
`ta.highestbars(source, length)`	Offset of highest value
`ta.lowestbars(source, length)`	Offset of lowest value
`ta.sum(source, length)`	Sum across lookback
`ta.change(source, length?)`	Change from earlier bar
`ta.cum(source)`	Cumulative sum
`ta.nz(value, replacement?)`	Replace `NaN`
`ta.fixnan(value, prevValue?)`	Carry previous value through `NaN`
`ta.hl2(high, low)`	Average of high and low
`ta.hlc3(high, low, close)`	Average of high, low, and close
`ta.ohlc4(open, high, low, close)`	Average of OHLC
`ta.iff(condition, trueValue, falseValue)`	Conditional helper
`ta.gt(a, b)`	Greater than
`ta.lt(a, b)`	Less than
`ta.ge(a, b)`	Greater than or equal
`ta.le(a, b)`	Less than or equal
`ta.eq(a, b)`	Equality check
`ta.and(a, b)`	Logical AND
`ta.or(a, b)`	Logical OR
`ta.abs(value)`	Absolute value