Standard Deviation Ratio Adaptive EMA

Summary

This note describes an exponential moving average whose responsiveness is adjusted using the Standard Deviation Ratio (SDR), a volatility measure associated with Tushar Chande’s work on adaptive averages. The SDR is used to make the EMA adapt to changing market conditions rather than applying a fixed smoothing rate. The source gives a brief account of the indicator’s background and suggests using the result like a conventional moving average or treating changes in its slope as possible signals.

The document offers a qualitative comparison with a regular EMA, saying the difference can be substantial in some conditions, but it supplies no chart data, formula details, parameter settings, backtest, or performance measurements. It also uses “ADR” once when discussing the comparison, although the rest of the explanation refers to SDR. The note recommends experimentation before trading decisions, and it does not establish that the adaptive version improves returns or manages risk. Results would depend on the market, settings, and signal rules.

Key ideas

• The indicator adjusts an EMA using the Standard Deviation Ratio as a volatility input.
• The SDR is described as a measure previously used in Chande’s adaptive moving average work.
• The adaptive average can be used like a regular moving average or through changes in its slope.
• Its difference from a fixed EMA depends on market conditions, and the document provides no quantified performance evidence.

Tags

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