Integral Linear Regression Moving Average Inputs and Calculation

Summary

The Integral Linear Regression Moving Average (ILRS MA) is presented as a moving-average indicator with two configurable inputs: the calculation period and the applied price. Its calculation uses a window of recent prices and weighted sums, alongside the simple moving average, to form a linear-regression-based average. The listed intermediate quantities include sums of index values and squared index values, a weighted price sum, and the sum of prices across the period.

The note provides formulas only through these definitions; the actual final equation is absent from the supplied text. It therefore identifies the inputs and components but does not fully explain how to combine them or how to interpret the indicator in trading. No performance evidence, parameter guidance, market context, or comparison with other averages is provided. The material is best treated as a concise reference to the indicator's calculation ingredients rather than an evaluation of its usefulness.

Key ideas

• The indicator accepts a period and an applied price as its two inputs.
• Its calculation uses recent prices from a rolling window.
• The method defines weighted and unweighted price sums as intermediate quantities.
• The supplied text omits the final equation and gives no trading evaluation.

Tags

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