volume_row
Accessors of one price row of a volume footprint
volume_row
The volume_row namespace reads one price row of a volume footprint: its price boundaries and the
buy and sell volume traded inside them. A row comes from footprint.poc(),
footprint.vah() or footprint.val().
PyneCore has no footprint data: request.footprint() always returns
na, so every row derived from it is na too. Guard the footprint with na() before reading its
rows.
Quick Example
from pynecore.lib import script, request, footprint, volume_row, na, high, low, plot
@script.indicator(title="Value Area", overlay=True)
def main():
fp = request.footprint(100, 70)
if na(fp):
# No order-flow data: fall back to the bar's range
va_high: float = high
va_low: float = low
else:
va_high = volume_row.up_price(footprint.vah(fp))
va_low = volume_row.down_price(footprint.val(fp))
plot(va_high, title="VA High")
plot(va_low, title="VA Low")Functions
Every function takes the row object as its only argument.
| Parameter | Type | Description |
|---|---|---|
id | VolumeRow | A row from footprint.poc(), footprint.vah() or footprint.val() |
up_price()
Upper price boundary of the row.
Returns: float
down_price()
Lower price boundary of the row.
Returns: float
buy_volume()
Buy volume traded in the row.
Returns: float
sell_volume()
Sell volume traded in the row.
Returns: float
delta()
Volume delta of the row: buy volume minus sell volume.
Returns: float
total_volume()
Total volume traded in the row.
Returns: float
poc = footprint.poc(fp)
poc_delta: float = volume_row.delta(poc) # na when fp is naMissing data
- Called with an
narow, everyvolume_row.*function returnsnainstead of raising. Sincerequest.footprint()always returnsna, so dofootprint.poc(),footprint.vah()andfootprint.val(), and every value read through this namespace isna. - Calling a method on an actual
VolumeRowobject raisesNotImplementedError; PyneCore never creates one.
Compatibility
The volume_row functions and the VolumeRow type have the Pine v6 signatures, so scripts that
use them compile and run. There is no order-flow data source behind them; see
footprint.