Anchored VWAP and Session Anchors
A volume-weighted average price that starts counting from a chosen event — an earnings release, a gap, a swing high — rather than from the start of the trading day, showing the average cost basis of everyone who has traded since that moment.
Prerequisites: Estimating The Volume Curve For VWAP
Standard VWAP resets every trading day, starting its volume-weighted average from the opening bell. Anchored VWAP instead lets the trader pick the starting point — an earnings announcement, a major gap up, the day of a swing low — and computes the volume-weighted average price from that moment forward, running across as many sessions as needed. The result is an estimate of the average price paid by everyone who has traded the stock since that specific event, which is a more meaningful reference line than "average price since midnight" if the event itself is what changed the stock's regime.
The calculation is identical to ordinary VWAP, just with a different starting index: sum price times volume for every bar since the anchor, divide by total volume since the anchor. Traders watch where price sits relative to an anchored VWAP from a big catalyst — if the stock is trading well above the VWAP anchored to an earnings beat, that suggests most post-earnings buyers are still sitting on gains and may be less eager to sell, whereas trading below it suggests the average post-earnings buyer is underwater and could add selling pressure on any bounce.
A common use is anchoring to the most recent significant swing high or low, treating the resulting line as a dynamic support or resistance level that updates with volume rather than with time alone, unlike a simple moving average.
Anchored VWAP is ordinary volume-weighted average price computed from a trader-chosen starting event instead of the start of the session, giving the average cost basis of participants who have traded since that specific moment. It's most useful right after a catalyst, when knowing whether the crowd that traded the news is sitting on a gain or a loss tells you something about likely near-term supply and demand.
Further reading
- Kissell, The Science of Algorithmic Trading and Portfolio Management, ch. 4