Technical Analysis

The ta namespace provides 57+ technical analysis functions covering moving averages, oscillators, volatility, volume, trend detection, and statistics.

Moving Averages

Function	Description
`ta.sma(source, length)`	Simple Moving Average
`ta.ema(source, length)`	Exponential Moving Average
`ta.wma(source, length)`	Weighted Moving Average
`ta.vwma(source, length)`	Volume Weighted Moving Average
`ta.rma(source, length)`	Rolling/Running Moving Average (Wilder's smoothing)
`ta.hma(source, length)`	Hull Moving Average
`ta.alma(source, length, offset?, sigma?)`	Arnaud Legoux Moving Average
`ta.swma(source)`	Symmetrically Weighted Moving Average
`ta.linreg(source, length, offset?)`	Linear Regression
`ta.vwap`	Volume Weighted Average Price (variable)
`ta.vwap(source)`	Volume Weighted Average Price (function)

const fast = ta.ema(close, 9);
const slow = ta.ema(close, 21);
plot(fast, 'Fast EMA', { color: '#2962FF' });
plot(slow, 'Slow EMA', { color: '#FF6D00' });

Oscillators & Momentum

Function	Returns	Description
`ta.rsi(source, length)`	`number`	Relative Strength Index
`ta.macd(source, fast, slow, signal)`	`[macd, signal, hist]`	MACD (returns tuple)
`ta.stoch(source, high, low, length)`	`number`	Stochastic Oscillator
`ta.cci(source, length)`	`number`	Commodity Channel Index
`ta.mfi(series, length)`	`number`	Money Flow Index
`ta.mom(source, length)`	`number`	Momentum
`ta.roc(source, length)`	`number`	Rate of Change
`ta.tsi(source, short, long)`	`number`	True Strength Index
`ta.cmo(source, length)`	`number`	Chande Momentum Oscillator
`ta.cog(source, length)`	`number`	Center of Gravity
`ta.wpr(length)`	`number`	Williams %R
`ta.change(source, length?)`	`number`	Price change over N bars

const rsi = ta.rsi(close, 14);
const [macdLine, signalLine, hist] = ta.macd(close, 12, 26, 9);

Volatility & Range

Function	Returns	Description
`ta.atr(length)`	`number`	Average True Range
`ta.bb(source, length, mult)`	`[middle, upper, lower]`	Bollinger Bands (tuple)
`ta.bbw(source, length, mult)`	`number`	Bollinger Bands Width
`ta.kc(source, length, mult)`	`[middle, upper, lower]`	Keltner Channels (tuple)
`ta.kcw(source, length, mult)`	`number`	Keltner Channels Width
`ta.stdev(source, length)`	`number`	Standard Deviation
`ta.dev(source, length)`	`number`	Mean Absolute Deviation
`ta.variance(source, length)`	`number`	Variance
`ta.range(source, length)`	`number`	Range (highest - lowest)
`ta.tr`	`number`	True Range (variable)
`ta.tr(handleNa?)`	`number`	True Range (function)

const [middle, upper, lower] = ta.bb(close, 20, 2);
const atr = ta.atr(14);

Volume Indicators

These are accessed as variables (not function calls):

Variable	Description
`ta.obv`	On-Balance Volume
`ta.accdist`	Accumulation/Distribution
`ta.pvt`	Price-Volume Trend
`ta.wad`	Williams Accumulation/Distribution
`ta.wvad`	Williams Variable Accumulation/Distribution
`ta.nvi`	Negative Volume Index
`ta.pvi`	Positive Volume Index
`ta.iii`	Intraday Intensity Index

plot(ta.obv, 'OBV');
plot(ta.accdist, 'A/D');

Trend Analysis

Function	Returns	Description
`ta.crossover(a, b)`	`boolean`	True when `a` crosses above `b`
`ta.crossunder(a, b)`	`boolean`	True when `a` crosses below `b`
`ta.cross(a, b)`	`boolean`	True when `a` crosses `b` in either direction
`ta.rising(source, length)`	`boolean`	True when source has been rising for `length` bars
`ta.falling(source, length)`	`boolean`	True when source has been falling for `length` bars
`ta.supertrend(factor, atrLength)`	`[value, direction]`	SuperTrend (tuple)
`ta.sar(start, inc, max)`	`number`	Parabolic SAR
`ta.dmi(diLength, adxSmoothing)`	`[plus, minus, adx]`	Directional Movement Index (tuple)

if (ta.crossover(fast, slow)) {
  plotshape(close, 'Buy', { style: shape.triangleup, location: location.belowbar });
}

Statistical Functions

Function	Description
`ta.highest(source, length)`	Highest value over N bars
`ta.lowest(source, length)`	Lowest value over N bars
`ta.highestbars(source, length)`	Bars since highest value
`ta.lowestbars(source, length)`	Bars since lowest value
`ta.median(source, length)`	Median value
`ta.mode(source, length)`	Mode value
`ta.percentile_linear_interpolation(source, length, pct)`	Percentile (linear)
`ta.percentile_nearest_rank(source, length, pct)`	Percentile (nearest rank)
`ta.percentrank(source, length)`	Percentile rank
`ta.correlation(a, b, length)`	Correlation coefficient
`ta.max(a, b)`	Maximum of two values
`ta.min(a, b)`	Minimum of two values

Utility Functions

Function	Description
`ta.barssince(condition)`	Number of bars since condition was true
`ta.valuewhen(condition, source, occurrence)`	Value when condition was true
`ta.cum(source)`	Cumulative sum
`ta.rci(source, length)`	Rank Correlation Index

Support & Resistance

Function	Description
`ta.pivothigh(source, leftbars, rightbars)`	Detect pivot highs
`ta.pivotlow(source, leftbars, rightbars)`	Detect pivot lows
`ta.pivot_point_levels(type, anchor)`	Calculate pivot point levels

Technical Analysis

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