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Documentation Index

Fetch the complete documentation index at: https://docs.darvas.app/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

All moving average functions accept a source argument - either a ctx.* accessor, an input.source() result, or any (offset?) => number | null function. They return a scalar at the current bar.

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Functions

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ta.sma(source, length) - Simple moving average

Arithmetic mean over length bars. 
onBar(() => {
  plot("SMA20", ta.sma(ctx.close, 20));
});

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ta.ema(source, length) - Exponential moving average

Exponentially weighted, with factor α = 2 / (length + 1). Faster to react than SMA. 
onBar(() => {
  plot("EMA9",  ta.ema(ctx.close, 9));
  plot("EMA21", ta.ema(ctx.close, 21));
});

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ta.rma(source, length) - Wilder smoothing

EMA with α = 1 / length. Also known as Wilder’s Moving Average (RMA). Used internally by ta.rsi and ta.atr. 
onBar(() => {
  const gain = math.max(ctx.close() - ctx.close(1), 0);
  plot("Smoothed gain", ta.rma(() => gain, 14));
});

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ta.wma(source, length) - Weighted moving average

Linearly weighted - most recent bar has the highest weight. 
onBar(() => {
  plot("WMA14", ta.wma(ctx.close, 14));
});

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ta.hma(source, length) - Hull moving average

Reduces lag by combining WMAs. HMA = WMA(2*WMA(n/2) - WMA(n), sqrt(n)). 
onBar(() => {
  plot("HMA20", ta.hma(ctx.close, 20));
});

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ta.vwma(source, volume, length) - Volume-weighted moving average

Weights each bar by its volume. 
onBar(() => {
  plot("VWMA20", ta.vwma(ctx.close, ctx.volume, 20));
});

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ta.alma(source, length, offset?, sigma?) - Arnaud Legoux moving average

Gaussian-weighted. offset controls the phase (default 0.85), sigma controls smoothing (default 6). 
onBar(() => {
  plot("ALMA", ta.alma(ctx.close, 20, 0.85, 6));
});

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ta.swma(source) - Symmetrically weighted moving average

Fixed-length 4-bar average with weights [1, 2, 2, 1] / 6. 
onBar(() => {
  plot("SWMA", ta.swma(ctx.close));
});

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ta.linreg(source, length) - Linear regression value

Returns the current value on the linear regression line fitted to the last length bars. 
onBar(() => {
  plot("LinReg20", ta.linreg(ctx.close, 20));
});

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Ribbon example

const lengths = [8, 13, 21, 34, 55];

plot("EMA8",  null, { color: "#22c55eFF" });
plot("EMA13", null, { color: "#84cc16FF" });
plot("EMA21", null, { color: "#eab308FF" });
plot("EMA34", null, { color: "#f97316FF" });
plot("EMA55", null, { color: "#ef4444FF" });

onBar(() => {
  plot("EMA8",  ta.ema(ctx.close, 8));
  plot("EMA13", ta.ema(ctx.close, 13));
  plot("EMA21", ta.ema(ctx.close, 21));
  plot("EMA34", ta.ema(ctx.close, 34));
  plot("EMA55", ta.ema(ctx.close, 55));
});

Oscillators

RSI, MACD, Stochastic and more.

Crossovers

Detect when two MAs cross.

Bar context

Source function shape reference.