Volume Profile Trading

Volume Profile Trading

Volume profile describes volume assigned to price bins over a declared session/range. It does not reveal trader identity, fair value, or a guaranteed reaction.

Core Concepts

Entry Strategies

Value Area Bounce (Range Trading)

• Buy at VAL with bullish rejection candle, target POC
• Sell at VAH with bearish rejection candle, target POC
• Stop beyond VA boundary

POC Magnet

• Test reversion to POC with a fixed horizon; price position alone is not an entry
• Combine with RSI divergence at extremes for higher probability

Value Area Breakout

• Breakout above VAH + volume spike → long, target next HVN above
• Breakdown below VAL + volume spike → short, target next HVN below
• Price must close outside VA (not just wick)

LVN Breakout Play

• Define LVN relative to neighboring bins and test traversal time versus matched control bins
• Use an objective trigger and structural invalidation; do not assume rapid movement

Workflow

1. Get trade/tick data when available, including venue, session, price, size, and corrections. If only OHLCV exists, disclose that volume-at-price is approximated because candle volume has no exact price allocation:

   get_candles(symbol=<symbol>, exchange=<exchange>, interval=<interval>, count=200)
   

2. Check volume indicator:

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

3. Freeze the profile specification: session/range anchor, tick/bin size, trade corrections, allocation method, value-area share (70% is conventional), expansion algorithm, and tie handling. Compute POC/VAH/VAL without using future observations.

4. Mark levels on chart:

   draw_chart_analysis(action="create", drawing={
       "type": "support",
       "points": [
           {"time": <start_time>, "price": <poc_price>},
           {"time": <end_time>, "price": <poc_price>}
       ],
       "options": {"text": "POC ($67,250)"}
   })
   

   draw_chart_analysis(action="create", drawing={
       "type": "demand",
       "points": [
           {"time": <start_time>, "price": <vah_price>},
           {"time": <end_time>, "price": <val_price>}
       ],
       "options": {"text": "Value Area (70%)"}
   })
   

5. Confirm with indicators:

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

6. Report: POC level, VA boundaries, price position (inside/above/below VA), key LVNs, trade setup

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: Volume profile is a descriptive distribution. Published trading-rule evidence is limited; a recent value-area breakout test found the unfiltered signal was not economically significant.

Key Rules

• Require enough observations for stable bins and show sensitivity to bin width; no candle count is universal.
• Treat HVN/LVN reactions as hypotheses, not magnets, barriers, or air pockets.
• Anchor and update profiles according to the predeclared session/event rule.
• State whether volume is actual venue trades, consolidated, tick volume, or OHLCV-allocated approximation.
• Test overlaps incrementally; multiple price-derived labels are not independent confluence.

Related Skills

• supply-demand-zones — volume profile HVNs confirm S/D zone strength; LVNs identify breakout acceleration areas
• fibonacci-trading — POC or VAL/VAH overlapping with Fib levels creates strong confluence