Trend Detection with Moving Averages of Arithmetic Progression Periods

Summary

This entry describes a trend indicator whose values are derived from signals produced by a group of moving averages. The averaging periods change according to an arithmetic progression, giving the indicator a structured set of lookback lengths for assessing trend conditions.

The document identifies the author and notes that the indicator was originally implemented in an earlier platform before being published in a later code collection. It also says the implementation depends on a smoothing-algorithm library. However, it does not explain how the moving-average signals are combined, specify trading rules, or provide examples, backtests, or performance results. The description therefore conveys the basic construction idea, but not enough detail to assess its behavior or use it as a standalone strategy.

Key ideas

• The indicator derives its values from signals across a group of moving averages.
• Moving-average periods follow an arithmetic progression.
• The implementation relies on a separate smoothing-algorithm library.
• The description provides no signal-combination details or performance evidence.

Tags

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