Cumulative Price-Volume Trend Signals with a Moving Average
Summary
This trend-following method builds a modified price-volume trend measure by accumulating volume-scaled percentage changes in price. It divides volume by 50,000, multiplies that value by the relative change in the typical price, and adds the result to the prior cumulative reading. A level offset and scale factor transform the cumulative series into a Residence indicator. The strategy goes long when this indicator rises above its simple moving average and short when it falls below; a reverse setting flips the direction.
The document presents the indicator as a way to track price-volume activity and possible capital flows, and suggests tuning the moving average or combining the signal with other filters. It supplies default parameters and a BTC/USDT futures backtest configuration covering about three weeks, but gives no performance statistics. The method can whipsaw in ranging markets, and optimizing its parameters on historical data can overfit. The description also recommends testing the approach across different conditions rather than relying on a single parameter set.
Key ideas
- The cumulative indicator combines volume-scaled relative price changes over time.
- A level and scale parameter transform the cumulative series into the Residence measure.
- Crossing above or below its simple moving average produces long or short positioning.
- A reverse option can invert the direction of the signals.
- False signals in ranges and overfitting during historical parameter optimization are key limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.