PriceVolumeTrend — Price Volume Trend

OBV’s better-behaved cousin: instead of adding the whole bar’s volume on any up close, it adds volume scaled by how far price actually moved. A 0.1% up day contributes a hundredth of what a 10% day does.

Signature

PriceVolumeTrend(period, on=<source>)

Argument	Type	Required	Notes
period	int Param or literal	Yes	SMA smoothing of the line. 1 returns the raw accumulator. Bounds 1–200.
on=	symbol	No	Source symbol. Defaults to the trade symbol. Reads close and volume.

Formula

$$ \text{PVT}t = \text{PVT}{t-1} + V_t,\frac{C_t - C_{t-1}}{C_{t-1}} $$

Warmup

Starts at 0 and accumulates; resets per run and per walk-forward window.

Reading the value

pvt.value
pvt.value > pvt.value_at(20)

Example

class PvtConfirm(Strategy):
    """Hold only while the volume-weighted trend line is rising."""
    trade = Symbol()
    sizing = FixedCapital()

    def execute(self):
        pvt = PriceVolumeTrend(1, on=self.trade)
        if pvt.value > pvt.value_at(20) and self.trade.is_flat:
            self.buy(self.trade, reason="PVT rising")
        if pvt.value < pvt.value_at(20) and self.trade.is_long:
            self.sell(self.trade, self.trade.position, reason="PVT falling")

Notes

• The standard PVT accumulation.
• Unbounded and path-dependent like OBV: read the slope and divergences, never the level.
• Ours cumulates the fractional return × volume, so it reads 0.01× pandas_ta’s pvt(), which cumulates the percent return × volume.