Testing Moving Average Crossovers on Combined Currency Basket Indicators

Summary

This study tests a moving average crossover rule on a combined Williams Percent Range indicator representing currency baskets. Using a 20-period WPR and a 10-period moving average, it treats an upward crossover as a buy signal and a downward crossover as a sell signal. Positions reverse on the next opposite signal. The author also considers signal quality filters based on the shape and spacing of indicator movements, alongside overbought and oversold thresholds examined in the preceding study.

The article reports many historical crossover signals and discusses tests across H1, H4, and D1 timeframes. It says the earlier threshold pattern was profitable on H4 across the tested baskets, while H1 lost substantially and D1 generated few trades. For the moving average approach, the author concludes the accumulated statistics are insufficient for practical use; the sample periods and pattern parameters are limited, and the chosen moving average period is debatable. Results are specific to the study setup and do not establish a robust live strategy.

Key ideas

• The tested rule enters when the combined WPR crosses its moving average and reverses on an opposite crossover.
• A short moving average is chosen to focus on local movements in the basket indicator.
• The study discusses filters that distinguish stronger crossover patterns from weaker signals.
• The earlier overbought and oversold pattern showed differing outcomes across H1, H4, and D1.
• The author considers the evidence insufficient to apply the crossover patterns in practice.

Tags

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