MACD Histogram Smoothing with Ten Moving-Average Variants

Summary

This indicator description explains a MACD-style histogram built from two idealized moving-average indicators, then smoothed using one of ten averaging methods. The choices range from simple, exponential, smoothed, and weighted averages to adaptive or specialized methods such as JMA, T3, VIDYA, and Kaufman’s AMA. Histogram and signal-line colors change with the indicator’s assessment of market conditions.

The note highlights that the phase input is not comparable across smoothing methods: it has a distinct interpretation for JMA, T3, VIDYA, and AMA, while it does not affect smoothing in the other methods. AMA also uses fixed fast-period and power settings by default. This is a description of indicator construction and parameters, not a trading rule or tested strategy. It supplies no empirical results, performance evidence, or guidance on signal reliability, so users would need to evaluate the indicator in their own market and timeframe.

Key ideas

• The indicator smooths a MACD-style histogram derived from two moving-average indicators.
• It offers ten smoothing methods, including adaptive and specialized averages.
• The phase parameter has different meanings across several methods and is inactive for others.
• The description gives no backtest or evidence that its color changes predict market movements.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.