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Volume Profile

Volume volume profile poc support-resistance auction-market-theory

Calculates the price level with the highest traded volume (Point of Control) over a sliding window.

Visual Example

Volume Profile — annotated preview mapping to core implementation

Synthetic ideal per library logic. Generated 2026-06-25 IST via docs/generate_all_previews.py (reproducible; maps to core Next<T> implementation).

Description

The Volume Profile indicator is a technical analysis tool that calculates the price level with the highest traded volume (point of control) over a sliding window.

This indicator is primarily used for identifying key market conditions. It provides a robust signal that can be easily integrated into both simple strategies and more complex machine learning feature pipelines. Compared to its alternatives, it offers a distinct balance of responsiveness and stability.

Traders often combine this with other metrics to confirm signals and avoid false positives during sideways market regimes. It remains a standard tool for systematic trading models.

Use to identify significant support and resistance levels. The POC represents the price where most market activity occurred, often acting as a magnet for price or a strong barrier. Essential for volume spread analysis and auction market theory.

Volume Profile is an advanced charting study that displays trading activity over a specified time period at specified price levels. The Point of Control (POC) is the single most important level in the profile, representing the price at which the most volume was traded. It serves as a key benchmark for identifying value areas and potential trend reversals.

QuantWave implements this indicator via the universal Next<T> trait, guaranteeing bit-identical results between Rust streaming, Python streaming, and Polars batch (.ta() / map_batches) surfaces.

Formula / Specification

Implementation (quantwave-core/src/indicators/volume_profile.rs):

[ BinIdx = \lfloor \frac{Price - Price_{min}}{BinSize} \rfloor ] [ POC = Price_{min} + (Idx_{max_vol} + 0.5) \times BinSize ]

Gold-standard parity vectors: quantwave-core/tests/gold_standard/volume_profile.json.

Parameters

Parameter Default Description
period 200 Sliding window size
bins 50 Number of price bins in the histogram

Usage Examples

Streaming (Rust)

use quantwave_core::indicators::VOLUME_PROFILE;
use quantwave_core::traits::Next;

let mut ind = VOLUME_PROFILE::new(200);
for price in &prices {
    let value = ind.next(price);
}

Streaming (Python)

from quantwave import VOLUME_PROFILE

ind = VOLUME_PROFILE(200)
for price in prices:
    value = ind.next(price)

Polars Batch (Python)

import polars as pl
import quantwave as qw

def apply_volume_profile(series: pl.Series) -> pl.Series:
    ind = qw.VOLUME_PROFILE(200)
    return pl.Series([ind.next(float(v)) for v in series.to_list()])

df = (
    pl.read_csv('ohlcv.csv')
    .lazy()
    .with_columns(
        pl.col("close").map_batches(apply_volume_profile, return_dtype=pl.Float64).alias("volume_profile")
    )
    .collect()
)

All surfaces are bit-identical via the single Next<T> implementation and proptests.

Edge Cases & Limitations

  • Warm-up: first 200 bars may return NaN or partial state per implementation.
  • Parameter sensitivity: smaller periods increase noise; larger periods increase lag.
  • Sudden gaps or bad ticks can distort rolling windows — consider pre-filtering.
  • Single-series indicators ignore volume unless otherwise documented.
  • Validated via proptests against gold-standard vectors where available.
  • No look-ahead bias; streaming and Polars batch paths are bit-identical.

Boundary Behavior

Condition Behavior
Warm-up Leading bars return NaN until warmup_bars is satisfied.
period > len When period exceeds series length, output is all NaN.
NaN inputs NaN in input propagates to output (NaN out).
Invalid params Non-positive period or missing required params raise ValueError.
Empty data Empty input returns an empty result series.

Sources & References

Primary Source: https://www.tradingview.com/support/solutions/43000502040-volume-profile-visible-range-vpvr/

Implementation: quantwave-core/src/indicators/volume_profile.rs (VOLUME_PROFILE / VOLUME_PROFILE_METADATA). Parity: quantwave-core/tests/gold_standard/volume_profile.json

Provenance: Standards bulk upgrade 2026-06-25 IST — see docs/DOCUMENTATION_STANDARDS.md.