Indicator reference › VWAP
The full guide, with worked examples and what our tests found: VWAP and Anchored VWAP Studies
VWAP is the average price of a security weighted by volume over a trading session. It represents the average price at which all transactions occurred during the day. It's used primarily by institutional traders as a benchmark — buying below VWAP is considered a good fill; selling above VWAP is also good. For retail traders it acts as a dynamic support/resistance and trend indicator.
Price above VWAP: bullish intraday bias, institutions are paying above average. Price below VWAP: bearish intraday bias. Price crossing VWAP from below: momentum shift to bullish. VWAP acts as strong support in uptrends — price often bounces back to VWAP during pullbacks and then resumes the trend.
Here VWAP runs from the first candle loaded and does not reset, so its value depends on how much history is on the chart. For the session VWAP most traders mean, which restarts at 09:30 each day, use Anchored VWAP anchored at the market open. Either is most meaningful for intraday and short-term swing trading, and less useful for crypto and 24/7 markets without defined sessions. Particularly powerful on days with trending price action rather than gaps.
Anchored VWAP
Elder Force Index
Price Volume Trend
Negative Volume Index
VWAP Trading Strategy Backtest: Does the QQQ Result Generalise?
The long side of a published VWAP rule rebuilt on QQQ, then tested after the study’s years, on 149 large US stocks and against trading costs.
Does the VWAP Strategy Beat Buy and Hold After Trading Costs?
How much each trade can cost before the long-only VWAP rule falls behind buying and holding QQQ, and where spreads, fees and currency conversion sit against that.
VWAP and Anchored VWAP Studies
VWAP and Anchored VWAP explained: the calculation, the anchors and a published VWAP trading rule, with our tests of that rule on QQQ, on large US stocks and after trading costs.
A reading of VWAP can be written as an exact rule and checked against historical data — as a full strategy with entries, exits and costs, or as a single condition and what followed it:
How to backtest a trading strategy without code
Event analysis: what follows a market event
Plot it yourself. Add this indicator to a chart, change every parameter and watch the line move, then backtest how the rule would have behaved on historical data — free on the S&P 500 ETF, no card.
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