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Using Normalized ATR to Adapt a Double-Smoothed EMA

Article MQL5 code base

Summary

This brief note proposes using normalized Average True Range (ATR) to make a double-smoothed exponential moving average adaptive. Rather than calculating the indicator with a fixed period, the ATR measure is intended to adjust its calculation as market conditions change. The note presents this as a way to combine volatility-sensitive adaptation with the smoothing behavior of a double-smoothed EMA.

The explanation is conceptual: it gives no formula for normalization, mapping from ATR to the EMA period, parameter choices, chart examples, or performance evidence. It also makes a general claim that the underlying EMA can accept fractional periods and produce smooth results without added lag, but does not support that claim with comparisons or tests. The method is therefore an indicator idea to investigate, not a fully specified trading rule or demonstrated source of returns.

Key ideas

  • Normalized ATR can be used to vary an indicator’s calculation instead of using a fixed period.
  • The proposed adaptive indicator applies ATR-based adjustment to a double-smoothed EMA.
  • The note says the EMA permits fractional periods and aims to smooth results without adding lag.
  • No calculation details, parameter guidance, or empirical performance evidence are provided.

Tags

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