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Comparing Moving Average Types and Quantile Calculations

Article MQL5 code base

Summary

This brief description presents a single-file collection of averaging methods, including familiar simple and exponential averages alongside smoothed, weighted, triangular, sine-weighted, Hull, and T3 variants. It also lists a linear regression value and quantiles. The stated purpose is to bring together some average types that are not available among the platform’s built-in standard options.

The document is an inventory rather than a tutorial: it does not explain formulas, parameter choices, signal interpretation, or how the methods compare. It provides no chart, market example, backtest, or performance evidence. Traders can use it as a guide to the indicator’s coverage, but would need additional documentation to understand implementation details or assess whether any particular average is useful for a strategy.

Key ideas

  • The collection brings several moving average variants into one file.
  • It includes simple, exponential, smoothed, linearly weighted, and triangular averages.
  • Other listed methods include sine-weighted, Hull, and T3 averages, plus a linear regression value.
  • Quantiles are also included, but the description gives no calculation or interpretation details.
  • No strategy results or comparisons among the methods are reported.

Tags

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