Volume-Weighted Moving Average Crossovers for Trend Following

Summary

This trend-following method compares fast and slow elastic volume-weighted moving averages (EVWMA). It treats the fast average above the slow average as bullish and the reverse relationship as bearish, with positions managed using either a fixed-percentage stop or an ATR-derived stop. The settings allow changes to the averaging lengths, stop method and inputs, and whether long or short trades are enabled. The document also proposes testing alternative parameters, volume-price indicators, and combinations with other signals.

The published configuration identifies a Binance BTC/USDT futures backtest over roughly one month in 2023, while the parameters include a separate test-period interface. No returns, risk measures, or other test results are included, so the strategy’s effectiveness cannot be assessed from the material. The stated limitations include sensitivity to parameter choices, rigid behavior from fixed stops, and changes in the relationship between price and volume. The source’s entries follow the moving-average state, and its stop logic is more specific than the general description; implementation details should therefore be checked before interpreting it as a simple crossover system.

Key ideas

• The strategy compares fast and slow volume-weighted moving averages to set a bullish or bearish direction.
• The source enters according to whether the fast average is above or below the slow average.
• Risk controls can use a fixed percentage stop or an ATR-derived stop.
• The document gives BTC/USDT futures test settings but no performance metrics.
• Volume-price changes and parameter sensitivity may affect results, and source behavior merits inspection.

Tags

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