Trend Signals from Five Weighted Moving Averages

Summary

The strategy uses five weighted moving averages (WMAs) to classify directional alignment and signal long or short trades. The accompanying description gives periods of 1, 2, 3, 5, and 29 days, while the code implements those as bar lengths without converting them to days. A fully ordered stack, with the longest WMA above the shortest, is treated as bearish; the reverse ordering is bullish. The document frames the approach as short-term trading and mentions EUR/CHF on a three-minute chart.

The write-up argues that multiple periods may filter some misleading moves compared with a single average, but supplies no measured results. Its published backtest configuration instead specifies BTC/USDT futures with 30-minute bars over a one-week interval, so it does not substantiate the EUR/CHF description. The source sets stop-loss and take-profit values to zero, leaving those exits inactive. Moving-average alignment can lag or whipsaw during temporary reversals, and the document recommends parameter testing, confirmation filters, and stop management without reporting evidence that these changes improve performance.

Key ideas

• The method signals direction from the relative ordering of five weighted moving averages.
• A bearish stack places longer-period averages above shorter-period averages, while a bullish stack reverses that ordering.
• The prose describes daily periods and EUR/CHF intraday trading, but the published backtest settings specify BTC/USDT futures on 30-minute bars.
• The source leaves stop-loss and take-profit exits inactive.
• The document identifies lagging or temporary crossovers as risks and provides no performance results.

Tags

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