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Moving Averages nodes

16 Moving Averages building blocks in the Algovex node library. Each is a node you can drop on the visual canvas, connect into a strategy, backtest and export. No code required.

  • ALMA

    Arnaud Legoux Moving Average — uses a Gaussian distribution for weighting, with adjustable offset and sigma to control smoothness and responsiveness.

  • DEMA

    Double Exponential Moving Average — reduces lag by applying EMA twice. Faster than standard EMA for trend detection.

  • EMA

    Exponential Moving Average — responsive trend baseline with exponential weighting.

  • FRAMA

    Fractal Adaptive Moving Average — uses the fractal dimension of price action to dynamically adjust its smoothing constant. Responsive in trends, flat in ranges.

  • Guppy MMA

    Guppy Multiple Moving Average — Daryl Guppy's 12-EMA system with short group (3,5,8,10,12,15) and long group (30,35,40,45,50,60). Detects trend direction, expansion, and compression.

  • HMA

    Hull Moving Average — WMA-based calculation providing ultra-low lag. Slope changes signal trend reversals earlier than EMA/DEMA/TEMA.

  • JMA

    Jurik Moving Average — approximate adaptive EMA with phase and power parameters. Provides smooth, low-lag price tracking with adjustable responsiveness.

  • KAMA

    Kaufman Adaptive Moving Average — adapts its smoothing constant based on market noise using the Efficiency Ratio. Moves fast in trends and slow in consolidation.

  • LSMA

    Least Squares Moving Average — fits a linear regression line over the last N bars and outputs the endpoint value. Also known as Linear Regression Moving Average or LINREG.

  • MA Ribbon

    Multiple EMAs forming a Guppy-style ribbon. Expansion indicates strong trend; compression signals consolidation or reversal.

  • SMA

    Simple Moving Average — baseline trend filter using arithmetic mean.

  • T3

    Tilson T3 Moving Average — applies six cascaded EMAs with a volume factor to produce an ultra-smooth, low-lag trend line.

  • TEMA

    Triple Exponential Moving Average — applies EMA three times for minimal lag. Even faster than DEMA for responsive signals.

  • VWMA

    Volume Weighted Moving Average — weights each price by its volume. VWMA vs SMA divergence reveals volume-confirmed trends.

  • Weighted Moving Average

    Linearly Weighted Moving Average giving more weight to recent prices via a linear ramp. More responsive than SMA while remaining smoother than EMA. Use as a trend baseline when you want faster response than SMA but less noise than EMA.

  • Wilder's MA

    Wilder's Smoothing (RMA) — J. Welles Wilder's smoothing method, equivalent to EMA with k = 1/period. First value is SMA of first period bars; thereafter rma[i] = (rma[i-1] * (period-1) + value[i]) / period.

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