Multi-Period WMA Stacking for Trend Entries and Exits

Summary

This trend-following method compares a group of six short-period weighted moving averages with six longer-period ones. For a long entry, the highest short WMA must cross above the lowest long WMA, followed by confirmation that every short WMA is above every long WMA. Short entries use the corresponding downward crossover and alignment. Exits rely on the crossover of the groups' average values, so entry and exit signals use different summaries of the moving averages.

The document provides no backtest settings or performance evidence. It notes that moving-average lag, parameter sensitivity, and whipsaws in choppy markets can undermine results, while frequent crossings may increase trading costs. It proposes volatility or trend-strength filters, position controls, and broader backtesting, but does not demonstrate that these changes improve performance. The method's multiple confirmations may also delay or exclude trades.

Key ideas

• Long entries require a short-group crossover followed by full upward separation from the long group.
• Short entries use a downward crossover and full downward alignment.
• Exits occur when the average short-period and long-period WMAs cross in the opposite direction.
• The document identifies lag, parameter sensitivity, and sideways-market whipsaws as key limitations.
• No backtest results are provided to establish the strategy's effectiveness.

Tags

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