Vwap Trading

VWAP Trading Strategy

VWAP is an execution benchmark: sum(price_i × volume_i) / sum(volume_i) over a declared interval. Session VWAP resets at the chosen session boundary; anchored VWAP uses an explicitly chosen event. Neither is fundamental fair value.

Interpretation

Deviation % = (Price - VWAP) / VWAP * 100

Strategies

VWAP as Dynamic S/R

• Test VWAP reaction as a dynamic-coordinate hypothesis using objective trend and rejection rules

VWAP Mean Reversion

• Define extension by rolling session-conditioned standard deviation/percentile and verify a reversion model; no universal 1% threshold applies

VWAP Breakout

• Strong move through VWAP with volume = momentum shift
• Enter on breakout, target deviation bands or previous highs/lows

VWAP Deviation Bands

• +1/-1 StdDev: minor targets
• +2/-2 StdDev: extended targets (often reversal zones)

Workflow

1. Get timestamped trade/volume data for the declared venue and session. If only candles exist, state the price proxy (typical price/close) and whether volume is actual or tick volume:

   get_candles_around_date(symbol=<symbol>, exchange=<exchange>, interval=<interval>, date=<date>)
   

2. Get EMA for trend context:

   get_indicators(indicator_code="ema", symbol=<symbol>, exchange=<exchange>, interval=<interval>)
   

3. Calculate VWAP and deviation without future session volume; also report standardized/percentile distance from comparable time-of-day history

4. Determine strategy:

   • Price consistently above VWAP → buy dips to VWAP
   • Price consistently below VWAP → sell rallies to VWAP
   • Price far from VWAP in range → mean reversion

5. Mark on chart:

   draw_chart_analysis(action="create", drawing={
       "type": "support",
       "points": [
           {"time": <session_start>, "price": <vwap_price>},
           {"time": <current_time>, "price": <vwap_price>}
       ],
       "options": {"text": "VWAP ($50,000)"}
   })
   

6. Entry triggers: bounce from VWAP with rejection candle, or break of VWAP with volume surge. Stop beyond recent swing.

Evidence and Validation

• Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
• Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
• Include spread, fees, slippage, borrow or funding, partial fills, and latency. Reject the setup when net expectancy is not positive or depends on one narrow parameter.
• Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
• Research basis: Academic VWAP research treats VWAP as an execution benchmark under volume uncertainty and costs—not as proof that price must revert to it.

Key Rules

• Use VWAP when it is relevant to the benchmark or validated strategy; never make it mandatory.
• State venue, timezone, session/anchor, price proxy, volume source, and reset rule.
• Do not mix daily, weekly, monthly, or event-anchored VWAPs without separate hypotheses.
• Reject unreliable volume, sparse liquidity, or noncomparable fragmented-venue data.
• Do not infer institutional orders or expected clustering from VWAP alone.

Related Skills

• volume-profile-trading — compare two volume-derived descriptive coordinates without calling either fair value
• mean-reversion — VWAP mean reversion complements BB and RSI mean reversion setups