Appearance

Personalize your experience

Mode

Accent Color

Direction

Quatick Script SDK Reference

SDK Reference

IDE

The Quatick IDE injects the SDK directly into TypeScript indicator, overlay, and strategy scripts at Apply time. You do not import SDK functions. Use the globals directly, or use namespaced helpers such as ta.sma(), math.round(), array.push(), and color.rgb().

Runtime Model

★

Pro tip: and Monaco are aligned for the functions listed here. Indicator helpers return arrays aligned with bars. Warmup bars use NaN when there is not enough history.

typescript

1function calculate(bars) {2  const fast = ta.ema(close, 9);3  const slow = ta.sma(close, 21);45  plot(fast, { label: 'EMA 9', color: color.cyan });6  plot(slow, { label: 'SMA 21', color: color.amber });78  return bars.map((bar, i) => ({ time: bar.time, value: fast[i] }));9}

Data Globals

Every script receives the current chart as both raw bars and precomputed series arrays.

Global	Type	Description
bars	BarData[]	Full bars in chart order. Each bar has time, open, high, low, close, and volume.
time	number[]	Bar timestamps aligned with bars.
open	number[]	Open prices aligned by index.
high	number[]	High prices aligned by index.
low	number[]	Low prices aligned by index.
close	number[]	Close prices aligned by index.
volume	number[]	Volume values aligned by index. Missing volume is normalized to 0.

typescript

1function calculate() {2  const range = high.map((value, i) => value - low[i]);3  const avgRange = ta.sma(range, 20);45  return bars.map((bar, i) => ({6    time: bar.time,7    value: avgRange[i],8  }));9}

Output Model

Indicators can return chart-ready series manually, or use () helpers and let the collect the first plottable series for the chart overlay.

Pattern	Shape	When to Use
Array return	[{ time, }, ...]	Primary overlay line with complete control over the returned series.
Object return	{ series: [{ time, }, ...] }	When returning or a named output wrapper.
()	(number[], )	Scripts that compute one or more arrays and want simple output collection.
plotBand()	plotBand(upper, lower, )	/envelope for rich renderers; first line remains chart-compatible today.

typescript

function calculate() {
  const bb = ta.bb(close, 20, 2);

  plot(bb.middle, { label: 'BB Middle', color: color.white });
  plotBand(bb.upper, bb.lower, { label: 'BB Range', color: color.new(color.blue, 0.2) });
}

ℹ

Note:The current chart renders one primary series. , , , and records are collected for compatibility and richer renderers.

Namespaces

Namespace	Examples	Description
ta	ta.sma(), ta.(), ta.bb(), ta.crossover()	Technical analysis helpers.
math	math.abs(), math.(), math.clamp()	Math namespace mapped to math helpers.
array	array.new(), array.push(), array.avg()	Mutable array helpers.
color	color.rgb(), color.new(), color.from_gradient()	Callable color function plus color constants and transforms.

typescript

function calculate() {
  const signalLine = ta.ema(close, 9);
  const distance = close.map((price, i) => math.round(price - signalLine[i], 2));
  const values = array.new(0);
  array.push(values, distance[distance.length - 1]);
  plot(distance, { label: 'Distance', color: color.from_gradient(distance.at(-1) ?? 0, -10, 10, color.red, color.green) });
}

Moving Averages

Function	Signature	Description
sma	sma(data, period): number[]	Simple moving average.
ema	ema(data, period): number[]	.
wma	wma(data, period): number[]	Linearly weighted moving average.
dema	dema(data, period): number[]	Double with reduced lag.
tema	tema(data, period): number[]	Triple with further lag reduction.
vwma	vwma(price, volume, period): number[]	Volume-weighted moving average.
hma	hma(data, period): number[]	Hull moving average.
smma	smma(data, period): number[]	-style smoothed moving average.
zlema	zlema(data, period): number[]	Zero-lag EMA using lag-compensated input.
alma	alma(data, period?, offset?, sigma?): number[]	Arnaud Legoux moving average.
kama	kama(data, period?, fast?, slow?): number[]	Kaufman adaptive moving average.
t3	t3(data, period?, vFactor?): number[]	Tillson T3 moving average.
lsma	lsma(data, period, offset?): number[]	Least-squares moving average.
mcgd	mcgd(data, period?): number[]	McGinley Dynamic average.
trima	trima(data, period): number[]	Triangular moving average.
vidya	vidya(data, cmoPeriod?, emaPeriod?): number[]	Variable Index Dynamic Average.

Oscillators

Function	Signature	Description
rsi	rsi(data, period?): number[]	.
stochastic / ta.stoch	stochastic(high, low, close, k?, d?, smooth?): { k, d }	Stochastic oscillator.
stochRsi	stochRsi(data, rsiPeriod?, stochPeriod?, k?, d?): { k, d }	Stochastic RSI.
connorsRsi	connorsRsi(data, rsiPeriod?, streakPeriod?, rankPeriod?): number[]	Connors RSI oscillator.
cci	cci(high, low, close, period?): number[]	Commodity Channel Index.
williamsR	williamsR(high, low, close, period?): number[]	Williams Percent R.
mfi	mfi(high, low, close, volume, period?): number[]	Money Flow Index.
tsi	tsi(data, long?, short?): number[]	True Strength Index.
ultimateOscillator	ultimateOscillator(high, low, close, p1?, p2?, p3?): number[]	Larry Williams Ultimate Oscillator.
dpo	dpo(data, period?): number[]	Detrended Price Oscillator.
aroon	aroon(high, low, period?): { up, down, oscillator }	Aroon trend timing oscillator.
rvi	rvi(open, high, low, close, period?): { value, rvi, signal }	Relative Vigor Index.
cmo	cmo(data, period?): number[]	Chande Momentum Oscillator.
ppo	ppo(data, fast?, slow?, signal?): { ppo, signal, histogram }	.
fisherTransform	fisherTransform(high, low, period?): { fisher, signal }	Fisher transform oscillator.
awesomeOscillator	awesomeOscillator(high, low, fast?, slow?): number[]	Awesome Oscillator from price.

Momentum

Function	Signature	Description
macd	macd(data, fast?, slow?, signal?): { macd, signal, histogram }	Moving Average Convergence Divergence.
momentum	momentum(data, period?): number[]	Difference from N bars ago.
roc	roc(data, period?): number[]	Rate of Change .
adx	adx(high, low, close, period?): { adx, plusDI, minusDI }	Average Directional Index.
dmi	dmi(high, low, close, period?): { diPlus, diMinus }	Directional movement indicator.
trix	trix(data, period?): number[]	Triple-smoothed rate of change.
elderRay	elderRay(high, low, close, period?): { bullPower, bearPower }	Elder Ray bull and bear power.
coppockCurve	coppockCurve(data, wmaLength?, longROC?, shortROC?): number[]	Long-term momentum oscillator.
schaffTrendCycle	schaffTrendCycle(data, fast?, slow?, stoch?): number[]	MACD-derived cycle oscillator.
balanceOfPower	balanceOfPower(open, high, low, close): number[]	Balance of Power candle momentum.
priceOscillator	priceOscillator(data, fast?, slow?): number[]	Fast MA minus slow MA.

Volatility

Function	Signature	Description
trueRange / ta.tr	trueRange(high, low, close): number[]	per bar.
atr	atr(high, low, close, period?): number[]	.
bollingerBands / ta.bb	bollingerBands(data, period?, multiplier?): { upper, middle, lower }	SMA plus/minus bands.
keltnerChannel / ta.kc	keltnerChannel(high, low, close, emaPeriod?, atrPeriod?, multiplier?): { upper, middle, lower }	plus/minus .
standardDeviation	standardDeviation(data, period): number[]	.
donchianChannel	donchianChannel(high, low, period?): { upper, middle, lower }	and lowest low channel.
choppiness	choppiness(high, low, close, period?): number[]	Choppiness Index.
supertrend	supertrend(high, low, close, period?, multiplier?): { value, supertrend, direction }	-based and direction.
parabolicSar	parabolicSar(high, low, start?, increment?, maximum?): number[]	Parabolic stop-and-reverse.
historicalVolatility	historicalVolatility(data, period?, annualFactor?): number[]	Annualized volatility from log returns.

Volume

Function	Signature	Description
obv	obv(close, volume): number[]	On-Balance Volume.
vwap	vwap(high, low, close, volume): number[]	Volume Weighted Average Price.
vwapBands	vwapBands(high, low, close, volume, devMultiplier?): { vwap, upper1, lower1, upper2, lower2 }	VWAP with deviation bands.
adLine	adLine(high, low, close, volume): number[]	Accumulation/Distribution line.
cmf	cmf(high, low, close, volume, period?): number[]	Chaikin Money Flow.
chaikinOscillator	chaikinOscillator(high, low, close, volume, fast?, slow?): number[]	spread of accumulation/.
forceIndex	forceIndex(close, volume, period?): number[]	Elder Force Index.
easeOfMovement	easeOfMovement(high, low, volume, period?): number[]	Ease of Movement.
nvi	nvi(close, volume): number[]	Negative Volume Index.
pvi	pvi(close, volume): number[]	Positive Volume Index.
klinger	klinger(high, low, close, volume, short?, long?, signal?): { klinger, ko, signal }	Klinger Volume Oscillator.

Statistics

Scalar compute a single from the supplied arrays. helpers return per-bar arrays.

Function	Signature	Description
mean	mean(values): number	Arithmetic mean.
median	median(values): number	Median value.
variance	variance(values, ddof?): number	Sample or population variance.
stdDev	stdDev(values, ddof?): number	scalar.
correlation	correlation(a, b): number	Pearson correlation.
covariance	covariance(a, b, ddof?): number	Covariance scalar.
linearRegression	linearRegression(x, y): { slope, intercept, r2 }	Ordinary least-squares regression.
percentile	percentile(values, percent): number	Percentile from 0 to 100.
zscore	zscore(data, period): number[]	z-score.
skewness	skewness(values): number	skew.
kurtosis	kurtosis(values): number	Excess .
rollingCovariance	rollingCovariance(a, b, period, ddof?): number[]	covariance.
rollingCorrelation	rollingCorrelation(a, b, period): number[]	Rolling correlation.

Utility

Function	Signature	Description
crossover	crossover(a, b): boolean[]	True where a crosses above b.
crossunder	crossunder(a, b): boolean[]	True where a crosses below b.
highest / lowest	highest(data, period): number[]	high or low.
highestBars / lowestBars	highestBars(data, period): number[]	Bars since high or low.
na	na(value): boolean	Null, undefined, or NaN test.
nz	nz(value, replacement?): number	Replace missing numeric values.
change	change(data, length?): number[]	Difference from length bars ago.
sum	sum(data, period): number[]	.
fixnan	fixnan(data): number[]	Forward-fill NaN values.
valuewhen	valuewhen(condition, source, occurrence?): number[]	of source at a prior condition occurrence.
barsSince	barsSince(condition): number[]	Bars since condition was last true.
pivotHigh / pivotLow	pivotHigh(data, left, right): (number \| null)[]	Confirmed swing pivots.
falling / rising	falling(data, length): boolean[]	Strict run checks.
stdev	stdev(data, period): number[]	Alias for .
dev	dev(data, period): number[]	mean absolute deviation.
avgTrueRange	avgTrueRange(high, low, close, period?): number[]	Alias for .

Levels

Function	Signature	Description
pivotPoints	pivotPoints(high, low, close, type?): PivotPointLevels	Standard, Fibonacci, Camarilla, or Woodie pivots.
fibRetracement	fibRetracement(swingHigh, swingLow, levels?): FibLevels	map by ratio.
fibExtension	fibExtension(a, b, c, levels?): FibLevels	map projected from three .
ichimoku	ichimoku(high, low, close, tenkan?, kijun?, senkou?, chikou?): IchimokuCloud	Tenkan, Kijun, Senkou A/B, and Chikou arrays.
supportResistance	supportResistance(high, low, close, lookback?, strength?): { support, resistance }	Clustered pivot support/resistance levels.
priceChannels	priceChannels(high, low, period?): { upper, lower, middle }	Highest/lowest channel.
linearRegressionChannel	linearRegressionChannel(data, period, deviations?): { regression, upper, lower }	regression channel.
zigzag	zigzag(high, low, deviation?, depth?): { points, pivots }	Swing and pivot array.
volumeProfile	volumeProfile(high, low, close, volume, priceLevels?): VolumeProfileLevel[]	Volume buckets by price level.

Candle Patterns

Function	Returns	Description
isDoji(open, high, low, close, threshold?)	boolean[]	Tiny body relative to full range.
isHammer(open, high, low, close)	boolean[]	Long lower wick bullish .
isInvertedHammer(open, high, low, close)	boolean[]	Long upper wick inverted hammer .
isShootingStar(open, high, low, close)	boolean[]	Alias for inverted- .
isMarubozu(open, high, low, close, threshold?)	{ bull, bear }	Full-body candles with tiny wicks.
isEngulfing(open, high, low, close)	{ bull, bear }	Bullish and bearish engulfing bodies.
isHarami(open, high, low, close)	{ bull, bear }	Inside-body bullish and bearish .
isMorningStar(open, high, low, close)	boolean[]	Three-candle bullish reversal.
isEveningStar(open, high, low, close)	boolean[]	Three-candle bearish reversal.
isThreeWhiteSoldiers(open, close)	boolean[]	Three rising bullish candles.
isThreeBlackCrows(open, close)	boolean[]	Three falling bearish candles.
isInsideBar(high, low)	boolean[]	Current range inside previous range.
isOutsideBar(high, low)	boolean[]	Current range outside previous range.
isSpinningTop(open, high, low, close)	boolean[]	body with upper and lower wicks.

Math

Function	Alias	Description
mathAbs(value)	math.abs()	Absolute .
mathSign(value)	math.()	Returns -1, 0, or 1.
mathMax(...values)	math.max(...values)	Maximum .
mathMin(...values)	math.min(...values)	Minimum .
mathClamp(value, min, max)	math.clamp(, min, max)	Clamp into range.
mathCeil(value)	math.ceil()	up.
mathFloor(value)	math.()	down.
mathRound(value, decimals?)	math.(, decimals?)	with optional decimals.
mathLog(value)	math.log()	logarithm.
mathLog10(value)	math.log10()	Base-10 logarithm.
mathExp(value)	math.exp()	e to the .
mathPow(base, exponent)	math.pow(base, exponent)	Power.
mathSqrt(value)	math.sqrt()	.
mathSin/Cos/Tan(value)	math.sin/cos/tan()	Trigonometry in radians.
mathRandom(min?, max?)	math.random(min?, max?)	Random in range.
mathLerp(a, b, t)	math.lerp(a, b, t)	Linear interpolation.

Arrays

Function	Namespace Alias	Description
arrayNew(size?, initialValue?)	array.new()	Create an array.
arrayPush(arr, value)	array.push()	Push and return the same array.
arrayPop(arr)	array.pop()	Pop last .
arrayShift(arr)	array.shift()	first .
arrayUnshift(arr, value)	array.unshift()	Insert first .
arrayGet(arr, index)	array.get()	Get by index; negative indexes count from end.
arraySet(arr, index, value)	array.set()	Set by index and return the array.
arraySize(arr)	array.size()	Length.
arrayAvg/Sum/Max/Min(arr)	array.avg/sum/max/min()	Numeric summaries.
arraySort(arr, order?)	array.sort()	Sorted copy.
arrayReverse(arr)	array.reverse()	Reversed copy.
arrayIncludes(arr, value)	array.includes()	Membership test.
arrayIndexOf(arr, value)	array.indexof()	First matching index.
arraySlice(arr, start, end?)	array.slice()	Slice copy.
arrayConcat(...arrays)	array.concat()	Concatenate arrays.
arrayClear(arr)	array.()	in place.
arrayFill(arr, value, start?, end?)	array.fill()	Fill in place.

Time & Sessions

Function	Description
barTime(index?)	Timestamp for the current bar, an absolute index, or a negative offset from the current bar.
barIndex()	Current . In whole-chart Apply this is the last bar.
barYear/barMonthOfYear/barDayOfMonth(timestamp?)	Date components for a timestamp or current bar.
barDayOfWeek/barHour/barMinute/barSecond(timestamp?)	Weekday and time components.
isMarketHours(exchange?)	check for NSE, BSE, NYSE, NASDAQ, or .
isPremarket(exchange?) / isPostmarket(exchange?)	checks where the exchange supports them.
isWeekend(timestamp?)	Weekend test.
toTimestamp(year, month, day, hour?, minute?)	Build a timestamp.
formatDate(timestamp, format?)	Format using tokens like YYYY, MM, DD, HH, mm, ss.

Drawing & Alerts

Function	Description
plot(data, options?)	Collect a line series. The first plottable series is applied to the current chart.
plotHistogram(data, options?)	Collect .
plotArea(data, options?)	Collect area series .
plotHLine(price, options?)	Collect a record.
plotBand(upper, lower, options?)	Collect an upper/lower .
bgcolor(color, options?)	Collect chart color intent.
barcolor(color)	Collect candle/bar color intent.
drawLine/drawBox/drawLabel(...)	Collect records for support.
alertCondition(condition, title, message?)	Collect an record when condition is true.
debugLog(...args)	Write to the IDE output logs.
createWebGLLayer(id, options?)	Create a -compatible layer object with drawLine, drawFill, drawHeatmap, drawRect, drawText, and .

Colors

Function / Constant	Description
color(r, g, b, a?) / color.rgb(r, g, b, a?)	Build an rgba() color string.
hslColor(h, s, l, a?) / color.hsl(h, s, l, a?)	Build an hsla() color string.
hexToRgba(hex, ?)	Convert #RGB or #RRGGBB to rgba().
colorFromGradient(, min, max, fromColor, toColor)	Interpolate between two colors.
colorBlend(colorA, colorB, t) / color.blend(...)	Blend colors by t from 0 to 1.
colorTransparency(color, ) / color.new(color, alpha)	Apply to a color.
COLOR_CYAN, COLOR_RED, COLOR_GREEN, COLOR_AMBER, COLOR_PURPLE, COLOR_ORANGE, COLOR_WHITE, COLOR_GRAY, COLOR_BLUE, COLOR_PINK	Global constants also available as color.cyan, color.red, etc.

Strategy Helpers

Function	Description
signal(direction, quantity?, price?, tag?)	Record a buy, sell, or close signal.
position()	Return current position info.
equity()	Return current equity estimate.
strategyEntry(id, direction, quantity?, price?, comment?)	Entry helper.
strategyExit(id, fromEntry, profit?, loss?, limitPrice?, stopPrice?)	Exit helper.
strategyClose(id, comment?)	Close one logical entry.
strategyCloseAll(comment?)	Close all position state.
strategyCancel(id)	Compatibility helper for intent.
maxDrawdown()	compatibility helper.

ℹ

Note:For full chart markers and backtest , strategies should still return signals/ from run() or state from init()/(). The helpers are injected so scripts can compile and participate in richer execution paths.

Examples

typescript

1// Multi-factor overlay with global helpers2function calculate() {3  const trend = ta.supertrend(high, low, close, 10, 3);4  const fast = ta.ema(close, 9);5  const slow = ta.ema(close, 21);6  const bullishCross = ta.crossover(fast, slow);78  const lineColor = bullishCross[bullishCross.length - 1]9    ? color.green10    : trend.direction.at(-1) === 1 ? color.cyan : color.red;1112  plot(trend.value, { label: 'Supertrend', color: lineColor, lineWidth: 2 });13}

typescript

1// Candle pattern scanner2function calculate() {3  const engulf = isEngulfing(open, high, low, close);4  const hammer = isHammer(open, high, low, close);56  const score = close.map((_, i) => {7    if (engulf.bull[i] || hammer[i]) return 1;8    if (engulf.bear[i]) return -1;9    return 0;10  });1112  plotHistogram(score, { label: 'Pattern Score', color: color.purple });13}

typescript

1// Strategy with returned signals for chart markers/backtest2function run(bars) {3  const fast = ta.ema(close, 12);4  const slow = ta.ema(close, 26);5  const buy = ta.crossover(fast, slow);6  const sell = ta.crossunder(fast, slow);78  const signals = [];9  for (let i = 1; i < bars.length; i++) {10    if (buy[i]) signals.push({ time: bars[i].time, type: 'BUY', price: close[i], reason: 'EMA cross up' });11    if (sell[i]) signals.push({ time: bars[i].time, type: 'SELL', price: close[i], reason: 'EMA cross down' });12  }1314  return { signals, trades: [] };15}

Indicator Reference
Automation / Strategy Builder / Reference
All 94 indicators the strategy engine computes, grouped as in the builder's picker, with their parameters, outputs and the range of values each output can take.
Built-in Indicators & Overlays
Coding / IDE / Reference
Quatick ships with a full library of pre-built indicators and overlays. You can use these out of the box, or study their implementations as reference for…
Python Scripting with Pyodide
Coding / IDE / Python
Quatick strategies run in Python 3.11 via Pyodide — a full CPython compiled to WebAssembly. This means your strategies execute entirely in the browser, with…
Script API Reference
Coding / IDE / Reference
This reference covers all APIs, interfaces, and utilities available to indicator, overlay, and strategy scripts in Quatick IDE.
Backtesting in Python and C++
Backtesting / SDKs
The quatick Python package and the header-only C++ library let you import indicators, backtest on your own machine and send the same file to Quatick.…
Book vs Tape Profile
Trading / Order Book / Views
What is resting at each price beside what has actually traded there — intent against action.
High-Low
Charts / Chart Types / Bar Charts
The simplest bar variant — a vertical line connecting the period high and low with no open or close ticks. High-low charts reduce price action to its purest…
IDE Keyboard Shortcuts
Coding / IDE / Keyboard
Quatick IDE supports extensive keyboard shortcuts inspired by VS Code. Shortcuts are organized by area. On macOS, replace Ctrl with ⌘ and Alt with ⌥ where…
Projection
Charts / Drawing Tools / Forecasting
A forward-looking cone or fan that projects future price movement based on current trend and volatility. Projections help visualize potential price paths,…

Browse all knowledge base articles →

Appearance

Runtime Model

Data Globals

Output Model

Namespaces

Moving Averages

Oscillators

Momentum

Volatility

Volume

Statistics

Utility

Levels

Candle Patterns

Math

Arrays

Time & Sessions

Drawing & Alerts

Colors

Strategy Helpers

Examples

Related articles

Related to Quatick Script SDK Reference