VWAP (Volume Weighted Average Price)

Context & Mechanics

Definition and calculation

The VWAP weights every traded price with its associated volume: VWAP = Σ(price × volume) ÷ Σ volume, cumulated from the session open. Unlike a moving average, which only averages closing prices, actual trading activity flows in: a price at which 500,000 shares changed hands shapes the VWAP more than one with 5,000 shares. The indicator restarts daily and is therefore a pure intraday tool.

What the VWAP is used for

As a benchmark: institutional desks measure execution quality against the VWAP – a buy below VWAP counts as good execution. Large orders are distributed across the day by VWAP algorithms to hit the market average. As a trading reference: intraday traders read the VWAP as the day's fair-value line. Common heuristics: price well above VWAP = short-term stretched (mean-reversion setups back to the line), VWAP as a dynamic support or resistance zone in trend phases, and the VWAP side as a trend filter (above VWAP prefer long, below short). Standard-deviation bands around the VWAP additionally show how far price sits from the volume-weighted mean.

Limits

The VWAP is a lagging average: in strong trends price stays on one side for hours, and late in the day the line becomes sluggish because cumulative volume stabilises it. Heuristics like “buy above VWAP” are context, not a strategy – their historical hit rate belongs in one's own journal, not in gut feeling.

Why it matters for traders

The VWAP combines price and volume into a single objective reference line for the trading day. In the GlanWick chart the VWAP including bands can be laid over historical sessions and tested by way of example – GlanWick is a training and simulation tool and not a prop firm itself.

Execution Example

A stock opens at $50. In the first hour 100,000 shares trade at an average of $50.20, in the second 300,000 shares at $49.80, in the third 100,000 shares at $50.40. At 12:00 a trader checks whether the current price of $50.60 is expensive relative to the day's business.

Numerator: 100,000 × 50.20 + 300,000 × 49.80 + 100,000 × 50.40 = 5,020,000 + 14,940,000 + 5,040,000 = $25,000,000.
Denominator: 500,000 shares total volume.
VWAP: 25,000,000 ÷ 500,000 = $50.00 – the high-volume second hour pulls the average below the arithmetic mean of the hourly prices ($50.13).
Interpretation: the current price of $50.60 sits $0.60 (1.2 %) above the VWAP – expensive relative to the day's business. A mean-reversion trader waits for pullbacks towards $50; a trend follower reads the VWAP side as long context.

Execution Risk & Errors

Interpreting the VWAP on higher timeframes or across several days although it restarts daily

Treating VWAP heuristics as a strategy instead of context and never validating them in the journal

Confusing the VWAP with a moving average of closing prices

Betting on VWAP reversions late in the day when cumulative volume has made the line sluggish

Trading illiquid instruments where a few block trades distort the VWAP

Frequently Asked

What distinguishes VWAP and moving average?

The moving average only averages prices over a fixed number of periods; the VWAP weights every price by traded volume and restarts every trading day. It shows where the day's money actually changed hands.

Why do institutional traders use the VWAP?

As an execution benchmark: large orders are distributed across the day to hit the volume-weighted average. The deviation from the VWAP measures execution quality.

Does the VWAP also work for swing trading?

The classic VWAP is an intraday tool because it restarts daily. For longer horizons anchored variants exist (anchored VWAP) that start at a chosen event.

What do the bands around the VWAP mean?

Standard-deviation bands show how far price sits from the volume-weighted mean – similar to Bollinger Bands, but VWAP-based. They help classify overextensions.