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VWAP, or Volume-Weighted Average Price, is a running calculation that blends price and volume together to show the true average price participants have paid for an asset over a session. Unlike a simple moving average, which treats every price bar equally, VWAP gives more weight to price levels where more volume changed hands, making it a more accurate reflection of where the bulk of trading actually occurred.
Institutional traders and funds rely on VWAP heavily because it doubles as a benchmark for execution quality. A large fund buying shares throughout the day wants to know whether it filled its order better or worse than the average market participant, and VWAP is the yardstick used to judge that. If their average fill price is below VWAP on a buy program, they consider the execution good.
For day traders, VWAP typically resets at the start of each session and acts as a intraday fair-value line. Price trading above VWAP is generally viewed as bullish, since buyers are willing to pay above the day's average, while price below VWAP suggests sellers are in control. Many intraday strategies look for price to pull back to VWAP and hold before continuing in the direction of the broader intraday trend, treating it similarly to a dynamic support or resistance level.
VWAP works best on lower timeframes and within a single session, since it is a cumulative calculation that loses meaning once carried across multiple days without resetting. It is also less useful in low-volume, choppy markets where volume data itself is thin or unreliable.
Real-World Example
A large fund spends the day buying shares of a stock, executing in small pieces throughout the session. At day's end, they compare their average fill price to VWAP: since their average price came in below VWAP, they consider the execution successful, having bought for less than the average market participant paid that day. A day trader watching the same stock notices price pull back to VWAP intraday and hold there without breaking below it, treating VWAP as dynamic support and buying the bounce, similar to how they would treat a technical support level.
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