VWAP
VWAP is the average price weighted by volume since the session started. Learn the formula, why institutions use it, VWAP bands and intraday trading strategies.
The Volume Weighted Average Price (VWAP) is the average price an asset has traded at during a session, weighted by how much volume traded at each price. It resets at the start of each session. VWAP answers a simple question: what has the average participant paid today? Because so many institutions measure their trading against it, it has become one of the most important reference lines for intraday traders.
The formula#
Typical price = (High + Low + Close) ÷ 3
VWAP = Σ (Typical price × Volume) ÷ Σ Volume, from the session start
Each new bar adds its typical price times volume to a running total, which is divided by total volume so far.
Why VWAP matters#
- Institutional benchmark: funds often judge their execution by whether they bought below VWAP or sold above it. Large buy programs may therefore be more active below VWAP, and sell programs above it. See VWAP, TWAP and POV Execution.
- Fair value for the day: VWAP represents where the bulk of the day's business has been done.
- Sentiment gauge: price above VWAP means today's buyers are, on average, in profit; below means they are losing.
How traders use VWAP#
Bias#
Many intraday traders favour long trades while price holds above VWAP and short trades while below. A clear move from one side to the other can signal a shift in control.
Pullback entries#
In a strong intraday uptrend, pullbacks to VWAP often find buyers. Traders wait for a reaction at VWAP, such as a higher low on a lower timeframe, then enter with a stop just below it. See Static vs Dynamic Levels.
Mean reversion#
When price stretches far from VWAP, some traders expect a move back towards it, especially in rangebound sessions.
VWAP bands#
Standard deviation bands around VWAP, similar to Bollinger Bands, show how stretched price is. Moves to the second band often stall in non trending sessions.
A simple VWAP routine for day traders#
In the first 30 minutes, note whether price is building above or below VWAP. If it holds above and VWAP is rising, look only for long setups on pullbacks towards VWAP, with a stop a little below it. If price loses VWAP and fails to reclaim it, step aside or switch to short setups. On choppy days when price crosses VWAP again and again, reduce size or stop trading, because the line is telling you there is no clear control.
Limitations#
- Intraday tool: standard VWAP resets each session, so it is most useful on intraday charts. For multi day analysis, anchored VWAP is better. See Anchored VWAP.
- Lag later in the day: as volume accumulates, VWAP moves more slowly and reacts less to new prices.
- Market dependent: in 24 hour markets like crypto and forex, the session start must be defined, often midnight UTC, and different choices produce different VWAPs.
- Not a magic line: strong trend days can leave VWAP far behind.
VWAP on the TradeLabs AI chart#
The TradeLabs AI chart can show VWAP on intraday timeframes, which makes it easy to see how price behaves around the session's average price during trending and choppy days.
Common mistakes#
- Using session VWAP on daily or weekly charts, where it resets every bar and means little.
- Treating every touch of VWAP as a reversal.
- Ignoring the session definition in round the clock markets.
Frequently asked questions#
What does VWAP tell you?#
The average price traded during the session, weighted by volume, showing where most of the day's trading has occurred.
Is VWAP support or resistance?#
It often acts as dynamic support in intraday uptrends and resistance in downtrends, because many traders and algorithms reference it.
Why do institutions use VWAP?#
Because it is a common benchmark for execution quality: buying below VWAP or selling above it suggests a good average price.
Sources#
- Wikipedia, Volume weighted average price
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Mentioned in
- Buying and Selling PressureVolume Analysis
- Volume ProfileVolume Analysis
- Volume-Based LevelsVolume Analysis
- VolumeMarkets and Instruments
- Level Strength and ClusteringPrice Action
- Mean, Median and ModeMath and Statistics