What is ta.hma() in Pine Script?

ta.hma() is the built-in Hull Moving Average. It applies WMA steps (including half-length and sqrt-length phases) to approximate the current trend with less lag than a plain SMA of the same nominal length.

Why is Hull MA faster than other moving averages?

The Hull method deliberately corrects for lag introduced by smoothing: it combines WMAs so the result tracks turning points more quickly while still filtering noise better than a very short SMA.

How do I use HMA for trend detection?

Common uses include slope and direction of the HMA (up vs down), price relative to HMA for bias, and crossovers between HMA and price or another MA. Always validate signals with your timeframe and risk rules.

Moving AveragesPine Script v6

`ta.hma()`

Hull Moving Average

Computes the Hull Moving Average (HMA), designed to reduce lag while keeping the line smooth by combining weighted moving averages with a square-root length step. Useful when you want a responsive trend line.

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Syntax

ta.hma(source, length) → series float

Arguments

Parameter	Type	Description
source	series int/float	Series of values to process.
length	simple int	HMA length.

Returns

Hull moving average of source for length bars back.

Remarks

na values in the source series are ignored.

Code Examples

Pine Script v6 Example

//@version=6
indicator("Hull Moving Average")
src = input(defval=close, title="Source")
length = input(defval=9, title="Length")
hmaBuildIn = ta.hma(src, length)
plot(hmaBuildIn, title="Hull MA", color=#674EA7)

Trading Applications

Minimize lag while maintaining smoothness

Identify trend reversals earlier than traditional MAs

Use for fast-moving market scalping strategies

Combine with other MAs for crossover signals

Related Functions

ta.ema ta.rma ta.wma ta.vwma ta.sma

Frequently Asked Questions

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`ta.hma()`

Syntax

Arguments

Returns

Remarks

Code Examples

Trading Applications

Related Functions

Frequently Asked Questions

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Related Pine Script Functions

ta.sma() - Simple Moving Average

ta.ema() - Exponential Moving Average

ta.wma() - Weighted Moving Average

ta.vwma() - Volume Weighted Moving Average

ta.alma() - Arnaud Legoux Moving Average