Hull Moving Average (HMA)

What is Hull Moving Average (HMA)?

The Hull Moving Average is a moving average designed to respond quickly while staying smooth. It uses weighted math to reduce delay compared with simple or exponential styles. Think of it like swapping heavy boots for running shoes on your chart, same road, quicker turns.

How Hull Moving Average (HMA) works

Here is the quick walk through, no textbook required.

• Collect: Grab recent closing prices for a chosen length, say 16.
• Weight: Compute a weighted average for length 16, and another for half the length 8, with more importance on the latest candles.
• Subtract: Multiply the half length result by 2, then subtract the full length result to create a fast baseline.
• Smooth: Run a weighted average on that baseline using the square root of the original length, so 4 if the length was 16.
• Plot: Draw the line and watch how closely it hugs price during turns.

Yep, that is the idea.

Why Hull Moving Average (HMA) Matters

You care because entries that feel late are expensive, and exits that feel early save sanity.

• Speed: Quicker reaction than many moving averages, so potential entries do not feel behind the move.
• Clarity: Smooth line that helps your eyes cut noise without turning your chart into soup.
• Risk: In sideways action near support or resistance levels, it can whipsaw.
• Where: Common in charting apps, trading bots, and crypto forums that argue about settings all day.

Key Characteristics of Hull Moving Average (HMA)

What makes it stand out from the pack:

• Lag: Lower delay than simple and exponential averages, yet still built from past prices.
• Smoothing: Weighted math plus square root length keeps it clean without feeling sleepy.
• Adapt: Works on any asset and timeframe, from BTC pairs to DeFi tokens.

As part of broader Trend Analysis, it helps define direction and momentum without turning your chart into spaghetti.

How is Hull Moving Average (HMA) calculated?

HMA blends weighted moving averages to reduce delay and keep things smooth. The usual definition is:

HMA(n) = WMA( 2 × WMA(price, n/2) minus WMA(price, n) , sqrt(n) )

Where n is the length, WMA is the weighted moving average, and sqrt is the square root.

1. Compute WMA for n and for n divided by 2.
2. Multiply the half length WMA by 2, then subtract the full length WMA.
3. Apply WMA again to that result using the square root of n.

Example

On a BTC five minute chart, HMA 34 curls up just as price reclaims the prior swing high, giving a cleaner early read for a long entry.

Fun Fact

HMA was created by Alan Hull, an Australian trader, and first published in 2005. It bounced from stock desks to crypto charts once platforms added it, because traders love anything that feels fast and smooth.

Wrap-Up

Think of HMA as a quick but calm guide for trend and turns, best used with confirmation and a plan.