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Parabolic Moving Average: Parameters and Calculation Method

Article MQL5 code base

Summary

This short indicator description introduces the Parabolic Moving Average, a moving-average calculation based on parabolic regression. It states that the method is designed to have less delay than many conventional moving averages and attributes the calculation approach to an algorithm reference by V. P. Dyakonov. The indicator exposes two adjustable inputs: the period used in the calculation and the price series to which it is applied.

The document gives no equations, parameter guidance, trading signals, charts, or empirical comparison supporting the claimed reduction in delay. It therefore explains the indicator’s stated design and inputs but does not establish whether it improves trading decisions or how it behaves across markets. Any use would require consulting the underlying implementation and testing it with the chosen data and strategy rules.

Key ideas

  • The Parabolic Moving Average is described as a moving average calculated using parabolic regression.
  • Its design is said to produce less delay than many other moving averages.
  • The calculation period and applied price are adjustable inputs.
  • The document offers no formula, trading rules, or comparative performance evidence.

Tags

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