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Triple Exponential Moving Average: Construction and Adjustable Inputs

Article MQL5 code base

Summary

The document introduces the Triple Exponential Moving Average, or TEMA, as an alternative to conventional moving averages. It attributes the indicator to Patrick Malloy and says it was published in a technical analysis journal. TEMA combines single, double, and triple exponential moving averages; the stated purpose of this construction is to reduce delay relative to using any one of those averages alone.

The implementation described allows users to set the averaging period, smoothing method, and price input, such as high, low, or median price. The page does not provide the calculation formula, chart examples, parameter guidance, or comparative tests showing how much lag is reduced or whether TEMA improves trading decisions. It therefore serves as a concise description of the indicator and its configurable inputs, rather than evidence for a specific strategy. As with other moving-average tools, its practical behavior depends on the chosen settings and market data, which the document does not evaluate.

Key ideas

  • TEMA combines single, double, and triple exponential moving averages.
  • The stated motivation is to reduce delay compared with using any of those averages individually.
  • Users can configure the averaging period, smoothing method, and input price.
  • The document gives no formula details, parameter recommendations, or empirical strategy results.

Tags

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