Volume Standard Deviation as a Filter for Moving Average Trend Signals

Summary

This trend-following method pairs a price moving average with a volume model. It compares a short moving average of volume with a baseline built from a longer volume average and standard deviation. A rising or falling price average can trigger a long or short entry when recent volume is above the lower volume bound; positions close when the price average changes direction. The description gives a 40-period volume baseline, a five-period recent-volume average, and a 20-period price average. It also describes replacing zero-volume observations and limiting the influence of unusually high volume in the implementation.

The published settings use BTC/USDT futures data from Binance, with daily strategy bars and hourly base data over roughly a year. No backtest results are reported. The document notes that price and volume can diverge, parameter choices matter, and the strategy has no stop-loss logic. Its upper volume bound is described but does not appear to gate the stated entry rules. Suggested additions, including stop losses and other indicators, are recommendations rather than tested features.

Key ideas

• The strategy uses volume averages and standard deviation to define a volume baseline and lower threshold.
• Price moving average direction supplies the long or short trend signal.
• Entries require recent average volume to exceed the lower volume threshold.
• Positions close when the price average reverses direction, and the described system lacks a stop loss.
• The provided backtest setup reports no performance results.

Tags

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