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Reducing Trend Direction and Force Signals with Moving Average Smoothing

Article MQL5 code base

Summary

This document describes a smoothed version of the Trend Direction and Force Index. Its stated motivation is that the original indicator can generate too many signals in some cases; applying a smoothing method is intended to reduce their number.

Four smoothing choices are listed: simple, exponential, smoothed, and linear weighted moving averages. The text does not explain how smoothing is applied to the index, how settings affect lag or signal timing, or what criteria define a signal. It supplies no chart examples, parameter guidance, backtest results, or evidence that fewer signals improve trading outcomes. The description therefore introduces a configurable signal-reduction concept but does not establish its effectiveness.

Key ideas

  • The smoothed version aims to reduce the number of signals from the Trend Direction and Force Index.
  • It offers simple, exponential, smoothed, and linear weighted moving average methods.
  • The document does not specify parameter choices or explain the effect on signal lag.
  • No trading results or validation are provided.

Tags

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