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Volume-Weighted Moving Average Crossover for Trend Signals

Article Strategy library · Author: ChaoZhang

Summary

This strategy derives fast and slow moving averages from exponentially smoothed price-times-volume and volume series, then compares the resulting volume-weighted prices. The published defaults use periods of 25 and 29, with additional smoothing. A crossover of the fast series above the slow series opens a long position; a cross below opens a short position, and the opposing crossover closes each side.

The document argues that recent observations receive more influence and that volume adds information beyond price alone. It warns that frequent trading can increase costs and slippage, low volume can weaken the indicator, and parameter tuning can overfit. It suggests walk-forward analysis, volatility or volume filters, adaptive periods, and stop losses. Backtest settings specify BTC futures over roughly a year, but no performance statistics are provided, so the stated advantages are not substantiated by reported results.

Key ideas

  • The signal compares fast and slow exponentially smoothed volume-weighted prices.
  • A fast-line crossover above the slow line opens longs, while a cross below opens shorts.
  • The published periods are 25 and 29, with a smoothing period of 9.
  • Trading costs, slippage, weak volume, and overfitting are cited as risks.
  • The document gives a backtest window but no reported performance results.

Tags

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