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Adaptive EMA Using Standard Deviation

Article MQL5 code base

Summary

This document describes an adaptive exponentially smoothed moving average that uses a standard deviation indicator to adjust its behavior. It presents the indicator as similar to an ATR-based adaptive EMA, with standard deviation substituted for average true range. This gives a basic conceptual distinction between the two volatility measures used to adapt the moving average.

The listed inputs are the standard deviation lookback period, EMA period, sensitivity, and applied price. The document does not explain the adjustment formula, how sensitivity changes the result, or how to interpret signals from the indicator. It provides no chart examples, trading rules, performance evidence, or discussion of parameter selection. Readers would need the original indicator implementation or independent testing to understand its behavior and assess whether it is useful in a particular market.

Key ideas

  • The indicator adapts an EMA using standard deviation as its volatility measure.
  • It is described as analogous to an adaptive EMA based on average true range.
  • Its parameters include the standard deviation period, EMA period, sensitivity, and applied price.
  • The document gives no formula, signal rules, or performance evidence.

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