The short answer: VWAP — Volume Weighted Average Price — is the average price a stock has traded at throughout the day, weighted by how much volume occurred at each price level. Institutional desks benchmark their execution against it. That makes it the one intraday level where supply and demand behavior is most predictable, because it’s the level most participants are actually watching.
What VWAP Calculates (and Why Weighting Matters)
A simple average of intraday prices gives equal weight to a candle that traded 100 shares and a candle that traded 5 million shares. VWAP weights by volume — the price levels where the most shares actually changed hands count more than price levels where a handful of trades occurred.
The result is a single line that represents the true average cost of every share traded today. A stock trading above VWAP means most participants who entered today are sitting on a profit relative to the average. A stock trading below VWAP means most today’s buyers are underwater. That asymmetry shapes behavior: buyers above VWAP are less likely to panic out; buyers below VWAP may eventually capitulate.
VWAP resets every session. It starts fresh at the open and converges toward a single price as more volume accumulates through the day. Early in the session — the first 30 minutes — VWAP is unstable and can swing significantly with each large trade. By midday, with hours of volume behind it, it becomes a much more reliable anchor.
VWAP as a Directional Filter
The most straightforward use of VWAP is binary: above it is a long-biased environment; below it is a short-biased environment.
This works because of institutional execution behavior. Large desks running algorithms to fill orders throughout the day are benchmarked against VWAP. An algo tasked with buying one million shares tries to acquire them at or below VWAP to beat the benchmark. The practical effect: VWAP often acts as a magnet, with price gravitating back to it after deviations, and as a line of defense, with institutions adding to positions when price dips below their average cost.
A stock that opens above VWAP and holds above it through the first hour has established directional character. The buyers who entered early are profitable; there’s no urgent seller at that level. The institutional algo that was buying is now above its benchmark and may slow accumulation — but it’s also unlikely to unwind a position just taken.
In Scanz, VWAP is available as a filter in the Data Scanner. The comparison Last Price greater than or equal to VWAP surfaces stocks currently trading above the institutional benchmark — a useful directional pre-filter before applying any other criteria.
The VWAP Reclaim Setup
The reclaim is the specific trade most active traders mean when they talk about a VWAP strategy. Here’s the structure:
A stock opens strong and runs above VWAP. During the session it pulls back — selling pressure or profit-taking — and price drops below VWAP. Then it finds support. Volume starts picking up again at a level below VWAP. A candle closes back above VWAP.
That’s the reclaim. The stock has reestablished itself above the institutional benchmark after losing it temporarily. The buyers who held through the pullback are now profitable again; new buyers who missed the original move have a second entry. Short sellers who entered below VWAP are now squeezed.
What separates a real reclaim from a failed attempt:
Volume on the recovery candle. A reclaim on thin volume is tentative. A reclaim where the volume on the recovery candle exceeds the average volume of the prior pullback candles is conviction — buyers came back aggressively, not passively.
The pullback depth. A shallow pullback that barely touched VWAP before reversing is cleaner than one that spent 20 minutes grinding below it. The longer price spends below VWAP, the more the directional character has shifted and the lower the probability of a clean reclaim holding.
Context of the move. A reclaim in a stock that’s up 15% on the day with a real catalyst is a different trade than a reclaim in a flat stock going nowhere. The reclaim setup is strongest when it gives you a re-entry into a confirmed trend, not when it’s trying to create a trend from scratch.
Scanning for VWAP Reclaims in Scanz
The Data Scanner makes it straightforward to surface stocks at this precise inflection point. The scan uses a combination of where price is now and where it was recently:
Last Price
greater than or equal to
VWAP
Last Price [-5m]
less than
VWAP
Percent Change | RH
greater than or equal to
2
Volume | RH
greater than or equal to
300000
The first two filters define the reclaim itself: price is now above VWAP but was below VWAP five minutes ago. The third ensures the stock has actual momentum — this isn’t a flat name sitting at VWAP by coincidence. The fourth confirms real participation.
Add a float filter if you want more explosive candidates:
Float
less than or equal to
50000000
Lower float stocks that reclaim VWAP tend to move faster once the reclaim holds, because there are fewer shares available to absorb the buying that comes in when short sellers start covering.
The scan will surface a list of names where the reclaim just happened. Your job from there is to evaluate: does the chart support the read? Is this a real pullback-and-continuation, or is price bouncing back and forth across VWAP on a directionless day? Open any result in QuickView for the chart and tape, or right-click to pull the full Montage view with Level 2 for a deeper read.
When VWAP Fails as a Benchmark
VWAP is not infallible. There are specific conditions where it becomes less useful:
Trending days with no mean reversion. When a stock gaps up and never looks back, VWAP lags significantly below price for the entire session. Price-to-VWAP comparisons become less meaningful when the gap between them is extreme and sustained. The stock is above VWAP, yes — but VWAP at that point is telling you about morning prices, not current dynamics.
News events mid-session. If a stock drops sharply after earnings or a headline during regular hours, VWAP suddenly becomes a ceiling rather than a floor — it represents the average of all the shares sold before the news, which are now at a loss. Reclaim attempts in this environment often fail because the sellers are motivated and the average cost above is a psychological overhang.
The first 15–30 minutes. As noted earlier, VWAP is least stable early in the session when volume accumulation is low. Using VWAP as a reference point in the first half hour often produces head-fakes — one large block trade can move VWAP significantly, making what looked like a solid level unstable.
For the reclaim strategy specifically, the most reliable window is typically 10:00 AM through 2:30 PM — after the opening volatility has settled and before the end-of-day positioning creates its own noise.
Combining VWAP with Other Filters
VWAP works best as a layer in a broader scan, not as a standalone signal. A few combinations that add value:
VWAP + Relative Volume. A VWAP reclaim on 5x normal volume is a meaningfully different setup than the same reclaim on 0.5x normal volume. Adding Relative Volume greater than or equal to 2 to the scan filters out the weak moves.
VWAP + RSI. An RSI between 45–60 at the moment of the reclaim suggests the stock is recovering from an oversold condition without being overextended. RSI below 40 during a reclaim attempt may indicate the selling pressure hasn’t finished. RSI above 70 combined with a VWAP reclaim may be late-stage — much of the move already happened.
VWAP + Float. As mentioned, lower float stocks produce sharper VWAP reclaims because limited share supply means each additional buyer has more price impact. Filter for stocks under 20–50M float when looking for the faster setups.
Frequently Asked Questions
What is VWAP in trading? VWAP stands for Volume Weighted Average Price. It’s the average price a stock has traded at throughout the session, with each price level weighted by the volume that occurred there. It resets each day and is used by institutional desks as an execution benchmark — making it one of the most watched intraday levels in active trading.
How do traders use VWAP as a strategy? VWAP is used primarily as a directional filter and a trade trigger. Above VWAP is generally long-biased; below is short-biased. The most common active strategy is the VWAP reclaim — buying when a stock that has pulled below VWAP recovers back above it, with volume confirmation, within an established uptrend.
Why does VWAP matter to institutional traders? Institutional desks benchmark their trade execution against VWAP. An algorithm buying a large position aims to acquire shares at or below VWAP. This creates consistent buying behavior around VWAP levels — institutions defend the benchmark, which is why the level tends to act as support in uptrending stocks.
What is a VWAP reclaim? A VWAP reclaim happens when a stock that was trading above VWAP pulls back below it temporarily, then recovers and closes back above it. It’s treated as a continuation entry by traders who missed the original move or want a re-entry in a confirmed uptrend.
Can you scan for VWAP reclaims automatically?
Yes. In Scanz, the Data Scanner supports comparing Last Price to VWAP and to historical price values. A scan filtering for Last Price >= VWAP with Last Price [-5m] < VWAP surfaces stocks where the reclaim just happened. Adding volume and percent change filters narrows results to the highest-conviction setups.
What time of day is VWAP most reliable? VWAP is least reliable in the first 30 minutes of the session, when limited volume accumulation makes it volatile. It becomes progressively more stable through the session. The 10:00 AM to 2:30 PM window is where most experienced traders find VWAP setups most actionable.
What is the difference between VWAP and a moving average? A moving average calculates the average price over a fixed number of candles or time periods, giving equal weight to each. VWAP weights by volume — price levels where more shares traded matter more. The practical difference: VWAP reflects where real transactions occurred, making it a better benchmark for institutional activity. A 20-period moving average on a 5-minute chart has no inherent connection to where actual volume concentrated.
Scanz includes VWAP as a live filter in the Data Scanner — use it to build reclaim scans, directional filters, and momentum setups that update every 500ms. See plans and pricing. No commitment required.