Indicators Reference

Detailed schema configurations and built-in calculation subroutines for standard indicators.

Active Indicators Schema (ctx.indicators)

Execute standard technical indicator calculations on-demand. You can now use the global ta.* namespace (e.g., ta.sma, ta.crossover) for a simpler, Pine Script-like syntax, which aliases directly to these ctx.* methods.

const indicator = {
  type: "rsi",               // Indicator type key
  params: { period: 14 },     // Calculation parameters
  color: "#9c27b0",          // Default display color
  enabled: true,             // Active state toggle
  style: {                    // Thickness, opacity, and shape overrides
    plotColor: "#9c27b0",
    plotThickness: 2
  }
};

Standard Indicators Specifications

Type Key	Indicator Name	Parameters Schema	Styling Override References
"sma"	Simple Moving Avg	{ period }	plotShow, plotColor, plotThickness, plotStyle
"ema"	Exponential Moving Avg	{ period }	plotShow, plotColor, plotThickness, plotStyle
"wma"	Weighted Moving Avg	{ period }	plotShow, plotColor, plotThickness, plotStyle
"dema"	Double Exp Moving Avg	{ period }	plotShow, plotColor, plotThickness, plotStyle
"tema"	Triple Exp Moving Avg	{ period }	plotShow, plotColor, plotThickness, plotStyle
"bb"	Bollinger Bands	{ period, mult }	midShow, midColor, upperShow, upperColor, fillShow, fillColor
"vwap"	VWAP	{}	plotShow, plotColor, plotThickness, plotStyle
"ichimoku"	Ichimoku Cloud	{}	tenkanShow, tenkanColor, kijunShow, kijunColor, cloudShow, cloudUpColor
"psar"	Parabolic SAR	{ step, maxStep }	dotsShow, dotsColor, dotsSize, dotsOpacity
"rsi"	Relative Strength Index	{ period }	plotShow, plotColor, upperLevel, lowerLevel
"macd"	MACD	{ fast, slow, sig }	macdShow, macdColor, signalShow, signalColor, histShow, histColor
"vol"	Volume	{}	volShow, volUpColor, volDownColor, maShow, maColor
"stoch"	Stochastic Oscillator	{ kPeriod, dPeriod }	kShow, kColor, dShow, dColor, upperLevel, lowerLevel
"atr"	Average True Range	{ period }	plotShow, plotColor, plotThickness, plotStyle
"cci"	Commodity Channel Index	{ period }	plotShow, plotColor, upperLevel, lowerLevel
"roc"	Rate of Change	{ period }	plotShow, plotColor, plotThickness, plotStyle
"adx"	Avg Directional Index	{ period }	adxShow, adxColor, plusDiShow, plusDiColor, minusDiShow, minusDiColor
"obv"	On Balance Volume	{}	plotShow, plotColor, plotThickness, plotStyle

Exposed Indicator Math APIs (ta.* / ctx.*)

Execute standard technical indicator calculations on-demand. These functions accept raw historical data arrays or bar arrays, and return calculated history arrays of matching lengths.

Method Signature	Return Type & Value Shape
ta.sma(dataArray, period)	`Array<number\|null>` - Simple Moving Average
ta.ema(dataArray, period)	`Array<number\|null>` - Exponential Moving Average
ta.wma(dataArray, period)	`Array<number\|null>` - Weighted Moving Average
ta.dema(dataArray, period)	`Array<number\|null>` - Double Exponential Moving Average
ta.tema(dataArray, period)	`Array<number\|null>` - Triple Exponential Moving Average
ta.rsi(dataArray, period)	`Array<number\|null>` - Relative Strength Index
ta.macd(dataArray, fast, slow, signal)	`{ line: Array, signal: Array, hist: Array }` - MACD Components
ta.bollingerBands(dataArray, period, mult)	`{ mid: Array, upper: Array, lower: Array }` - Bollinger Bands Bands
ctx.vwap(barsArray)	`Array<number\|null>` - Volume Weighted Average Price
ctx.stochastic(barsArray, kPeriod, dPeriod)	`{ kVals: Array, dVals: Array }` - Stochastic Oscillator
ctx.atr(barsArray, period)	`Array<number\|null>` - Average True Range
ctx.cci(barsArray, period)	`Array<number\|null>` - Commodity Channel Index
ctx.roc(dataArray, period)	`Array<number\|null>` - Rate of Change (percent)
ctx.psar(barsArray, step, maxStep)	`Array<number\|null>` - Parabolic SAR points
ctx.hma(dataArray, period)	`Array<number\|null>` - Hull Moving Average
ctx.alma(dataArray, period, offset, sigma)	`Array<number\|null>` - Arnaud Legoux Moving Average
ctx.lsma(dataArray, period, offset)	`Array<number\|null>` - Least Squares Moving Average
ctx.rma(dataArray, period)	`Array<number\|null>` - Relative Moving Average
ctx.stdev(dataArray, period)	`Array<number\|null>` - Standard Deviation
ctx.variance(dataArray, period)	`Array<number\|null>` - Variance
ctx.covariance(dataArray1, dataArray2, period)	`Array<number\|null>` - Covariance
ctx.correlation(dataArray1, dataArray2, period)	`Array<number\|null>` - Correlation Coefficient
ctx.median(dataArray, period)	`Array<number\|null>` - Rolling Median
ctx.mode(dataArray, period)	`Array<number\|null>` - Rolling Mode
ctx.kc(dataArray, period, multiplier, useTrueRange)	`{ mid: Array, upper: Array, lower: Array }` - Keltner Channels
ctx.donchian(period)	`{ basis: Array, upper: Array, lower: Array }` - Donchian Channels
ctx.supertrend(factor, period)	`{ supertrend: Array, direction: Array }` - Supertrend Line & Direction
ctx.stoch(source, highs, lows, period)	`Array<number\|null>` - Stochastic Oscillator series
ctx.cmf(period)	`Array<number\|null>` - Chaikin Money Flow
ctx.wpr(period)	`Array<number\|null>` - Williams %R
ctx.tsi(dataArray, short_length, long_length)	`Array<number\|null>` - True Strength Index
ctx.ao(period1, period2)	`Array<number\|null>` - Awesome Oscillator
ctx.linreg(dataArray, period, offset)	`Array<number\|null>` - Linear Regression Curve
ctx.slope(dataArray, period)	`Array<number\|null>` - Linear Regression Slope
ctx.r2(dataArray, period)	`Array<number\|null>` - Coefficient of Determination (R2)
ctx.percentrank(dataArray, period)	`Array<number\|null>` - Percent Rank (0-100)
ctx.ichimoku(barsArray)	`{ tenkan: Array, kijun: Array, senkouA: Array, senkouB: Array, chikou: Array }` - Ichimoku Components
ctx.adx(barsArray, period)	`{ adx: Array, plusDI: Array, minusDI: Array }` - ADX Components
ctx.obv(barsArray)	`Array<number>` - On Balance Volume series