Arnaud Legoux Moving Average Indicator

Learn about the Arnaud Legoux Moving Average (ALMA) indicator, designed for advanced smoothness and responsiveness. Discover its history, calculation, and key c

Published · Updated · Methodology: Technical Indicators

Part of: EMA Strategies

  • Methodology: Technical Indicators
  • Content type: indicator
  • Timeframes: Multiple time frames (custom bar types)

Indicators used

  • Arnaud Legoux Moving Average (ALMA)
  • Gaussian Filter
  • Hull Moving Average (HMA)
  • EMA
  • SMA

Source video

Decoded from: Arnaud Legoux Moving Average — TradingView by tradingview.com — watch the original

Strategy overview

The Arnaud Legoux Moving Average is a smoothing method rather than a trading method: it applies a Gaussian-shaped weighting to the price window and lets that curve be shifted along the window, which is what makes it behave differently from the flat or exponentially decaying weights of the averages most traders start with. This entry is not a channel lesson at all — it is TradingView's own documentation page for the built-in indicator, which changes what it can and cannot tell you.

The consequence of that provenance is that the material is organized around the three inputs and what each one does to the curve, not around a setup. There are no entries, no exits, no symbol and no session, because a documentation page describes a tool that any strategy can call. What it does spend its space on is the trade-off every moving average is stuck with, made adjustable here: how far the weighting sits toward the most recent bar versus the middle of the window, and therefore how much responsiveness is bought at the cost of smoothness. The page also situates ALMA next to the Gaussian filter, the Hull moving average, the EMA and the SMA — a family map that tells you which problem it was built to attack.

Because this is reference material rather than a decoded setup, no trading rules were extracted for this page. What you get here is the vocabulary: what ALMA is, which knobs exist, and where it sits relative to the other smoothers, so that when it appears inside somebody else's strategy you can read what role it is being asked to play.

Topics

arnaud legoux moving average · alma indicator · moving average · technical indicators · tradingview indicator · gaussian filter · hull moving average · exponential moving average · simple moving average · smooth moving average · responsive moving average · customizable indicator · indicator review · trading tools

Frequently asked questions

What is the Arnaud Legoux Moving Average (ALMA)?

ALMA is a moving average that applies a Gaussian-shaped weighting to the price window instead of the flat weights of an SMA or the exponentially decaying weights of an EMA. The position of that Gaussian curve within the window is itself adjustable, which is the feature that distinguishes it from most other smoothers.

How is ALMA different from an EMA, a Hull moving average or a Gaussian filter?

All of them attack the same problem — a moving average is either smooth or responsive, rarely both — but they trade it off differently. The EMA weights recent bars most heavily, the Hull uses staged weighted averages to cut lag, a Gaussian filter smooths symmetrically, and ALMA exposes the shape and placement of its weighting as user inputs so you can choose where on that trade-off you sit.

Does this page contain a tradeable ALMA strategy?

No. The source here is TradingView's documentation for the built-in indicator, not a strategy video, so it covers what the indicator is and how its inputs behave rather than entries, exits, timeframes or instruments. No trading rules were extracted for this entry.

What timeframe should ALMA be used on?

The documentation does not prescribe one — the indicator is defined for whatever chart it is applied to, including custom bar types. Timeframe is a decision that belongs to the strategy calling ALMA, not to the average itself.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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