Technical analysis (ta.*)

The ta.* namespace gathers NeuroScript's technical-analysis functions. They all operate on series (like close) and return the value computed at the current candle.

Functions that return multiple values (a tuple) use destructuring, e.g.: [macd, signal, histogram] = ta.macd(close, 12, 26, 9).

Averages and smoothing

Function	Returns	Description
`ta.sma(source, length)`	number	Simple moving average.
`ta.ema(source, length)`	number	Exponential moving average (more weight on recent candles).
`ta.wma(source, length)`	number	Weighted moving average (decreasing linear weights).
`ta.vwma(source, length)`	number	Volume-weighted moving average.
`ta.rma(source, length)`	number	Wilder's moving average (smoothing used in RSI and ATR).
`ta.swma(source)`	number	Symmetrically weighted average of 4 candles.
`ta.alma(source, length, offset, sigma)`	number	Arnaud Legoux Moving Average — smoothing with a Gaussian filter.
`ta.hma(source, length)`	number	Hull Moving Average — smooth average with low lag.
`ta.linreg(source, length, offset?)`	number	Value projected by linear regression (least squares).
`ta.vwap(source)`	number	Volume-weighted average price, anchored to the session.

Oscillators and momentum

Function	Returns	Description
`ta.rsi(source, length)`	number	Relative Strength Index (0 to 100).
`ta.macd(source, fast, slow, signal)`	tuple	MACD — moving average convergence/divergence. Returns [macd, signal, histogram].
`ta.stoch(source, high, low, length)`	number	Stochastic Oscillator.
`ta.mom(source, length)`	number	Momentum — price difference from N candles back.
`ta.cci(source, length)`	number	Commodity Channel Index.
`ta.mfi(series, length)`	number	Money Flow Index — volume-weighted RSI.
`ta.roc(source, length)`	number	Rate of Change — percentage change over N candles.
`ta.wpr(length)`	number	Williams %R.
`ta.cmo(source, length)`	number	Chande Momentum Oscillator.
`ta.tsi(source, shortLength, longLength)`	number	True Strength Index.
`ta.cog(source, length)`	number	Center of Gravity.
`ta.rci(source, length)`	number	Rank Correlation Index.

Bands, channels and volatility

Function	Returns	Description
`ta.bb(source, length, mult)`	tuple	Bollinger Bands. Returns [basis, upper, lower].
`ta.atr(length)`	number	Average True Range — average volatility over the period.
`ta.stdev(source, length)`	number	Standard deviation over the period.
`ta.variance(source, length)`	number	Variance over the period.
`ta.dmi(diLength, adxSmoothing)`	tuple	Directional Movement Index. Returns [+DI, -DI, ADX].
`ta.tr(handleNa?)`	number	True Range — the candle's real range.
`ta.dev(source, length)`	number	Mean absolute deviation from the average.
`ta.supertrend(factor, atrPeriod)`	tuple	SuperTrend. Returns [line, direction] (direction < 0 means uptrend).
`ta.sar(start, increment, max)`	number	Parabolic SAR — stop and reverse points.
`ta.kc(source, length, mult, useTrueRange?)`	tuple	Keltner Channels. Returns [upper, basis, lower].
`ta.donchian(length)`	tuple	Donchian Channel. Returns [upper, basis, lower].
`ta.bbw(source, length, mult)`	number	Bollinger Bands Width.
`ta.kcw(source, length, mult, useTrueRange?)`	number	Keltner Channels Width.

Crossovers and detection

Function	Returns	Description
`ta.crossover(a, b)`	bool	True when the first series crosses above the second.
`ta.crossunder(a, b)`	bool	True when the first series crosses below the second.
`ta.change(source, length?)`	number	Change from N candles back.
`ta.highest(source, length)`	number	Highest value of the series over the period.
`ta.lowest(source, length)`	number	Lowest value of the series over the period.
`ta.valuewhen(condition, source, occurrence)`	number	Value of the series the Nth time the condition was true.
`ta.barssince(condition)`	number	Number of candles since the condition was last true.
`ta.highestbars(source, length)`	number	How many candles back the period's highest value is.
`ta.lowestbars(source, length)`	number	How many candles back the period's lowest value is.
`ta.pivothigh(source, leftBars, rightBars)`	number	Detects a pivot high with N candles to the left and right.
`ta.pivotlow(source, leftBars, rightBars)`	number	Detects a pivot low with N candles to the left and right.
`ta.falling(source, length)`	bool	True if the series has fallen for N candles in a row.
`ta.rising(source, length)`	bool	True if the series has risen for N candles in a row.
`ta.cross(a, b)`	bool	True when there's a crossover in either direction.

Statistics and ranking

Function	Returns	Description
`ta.cum(source)`	number	Cumulative sum of the series.
`ta.percentrank(source, length)`	number	Percentile rank of the current value over the period.
`ta.correlation(source1, source2, length)`	number	Correlation between two series over the period.
`ta.median(source, length)`	number	Median of the series over the period.
`ta.range(source, length)`	number	Range (high minus low) over the period.
`ta.max(source)`	number	Highest value of the series since the start of the chart.
`ta.min(source)`	number	Lowest value of the series since the start of the chart.
`ta.mode(source, length)`	number	Mode (most frequent value) of the series over the period.
`ta.percentile_linear_interpolation(source, length, percentage)`	number	Period percentile by linear interpolation.
`ta.percentile_nearest_rank(source, length, percentage)`	number	Period percentile by the nearest-rank method.

Volume

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

Levels

Function	Returns	Description
`ta.pivot_point_levels(type, anchor, developing?)`	array	Pivot levels (P, R1, S1, R2, S2, ...). Returns an array.

Examples

RSI with levels

//@version=6
indicator("RSI", overlay=false)

length = input.int(14, "Length", minval=1)
rsi = ta.rsi(close, length)

col = rsi >= 70 ? color.red : rsi <= 30 ? color.green : color.blue
plot(rsi, "RSI", color=col, linewidth=2)
hline(70, "Overbought", color=color.red, linestyle=2)
hline(30, "Oversold", color=color.green, linestyle=2)

Bollinger Bands (tuple)

//@version=6
indicator("Bollinger", overlay=true)

length = input.int(20, "Length")
mult = input.float(2.0, "Deviations")

[avg, upper, lower] = ta.bb(close, length, mult)
plot(avg, "Basis", color=color.orange)
plot(upper, "Upper", color=color.blue)
plot(lower, "Lower", color=color.blue)

SuperTrend with signals

//@version=6
indicator("SuperTrend", overlay=true)

factor = input.float(3.0, "Factor", minval=0.5)
period = input.int(10, "ATR", minval=1)

[st, direction] = ta.supertrend(factor, period)
isUp = direction < 0
plot(st, "SuperTrend", color=isUp ? color.green : color.red, linewidth=3)

buySignal = (direction < 0 and direction[1] > 0) ? low : na
plot(buySignal, "Buy", color=color.green, style="triangleup", linewidth=5)

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