Video summary

The ONLY Volume Profile Guide That Actually Works

Main summary

Key takeaways

Finance

Core concept: Volume Profile = “Volume at Price”

  • The video frames order flow as the driver of price action:
    • Volume represents “effort”
    • Price represents “result” (Richard Wyckoff)
  • Volume leads price: volume activity at different prices helps explain why price moves.
  • Two related views:
    • Volume at time (volume histogram): volume per time interval
    • Volume at price (volume profile): volume concentrated at each price level
  • Volume profile is positioned as superior for structure because it reveals where trading activity concentrated across prices, often interpreted as fair value vs unfair value.

Wyckoff “laws” referenced (methodology foundation)

  • Law of Supply and Demand
  • Law of Cause and Effect
  • Law of Effort and Result (key one for volume profile):
    • Volume = effort
    • Price movement = result
    • High volume often implies wider price movement, while divergence can imply absorption or lack of opposition (via VSA concepts).

Auction market theory link (macro/market state framing)

  • Markets behave like a continuous auction where participants negotiate price to discover fair value.
  • Balance (acceptance):
    • Buyers/sellers relatively agree
    • Price moves sideways in a range
    • Volume concentrates in that band → higher volume areas in the profile
  • Imbalance (price discovery/rejection):
    • Strong disagreement
    • Price moves through a wider range quickly
    • Less trading per price level → lower volume areas in the profile
  • Key claim:
    • Price tends to be attracted to prior balance / fair value zones
    • Price is repelled from prior imbalance / unfair value zones

Volume profile components + key numbers

1) Value Area (VA)

  • Defined as the price range containing ~70% of total volume
  • Often called the “broad value area”
  • Interpreted as the market’s main fair value / acceptance zone

2) Core Value Area (CVA)

  • Many order-flow traders use ~40% instead (“core value area”)
  • Used as a more precise reference band for strategy levels

3) Point of Control (POC)

  • POC = price level with the highest volume (largest peak in the distribution)
  • Treated as an especially important “effort spent” level

4) Nodes

  • High volume nodes = peaks (including POC and secondary peaks)
  • Low volume nodes = valleys (least traded / “extremely unfair”)
    • Often found inside or associated with fair value gaps (LVNs hidden behind quick displacement)

Statistical underpinning mentioned

  • Bell-curve intuition:
    • 68% within 1 standard deviation
    • 95% within 2
    • 99.7% within 3
  • Mapped operationally to ~70% VA in volume profile.

Liquidity connection (risk/context framing)

  • Higher volume / acceptance areas → tend to reflect higher liquidity (more absorption in a narrow band)
  • Lower volume / rejection areas → tend to reflect lower liquidity (price can traverse faster with less trading)

Trend logic (volume-profile interpretation)

  • Traditional trend:
    • Uptrend: higher highs/lows
    • Downtrend: lower highs/lows
  • Auction/order-flow view:
    • Trend = migration of value (moving from one balance area to another)
    • Uptrend: progressively higher value areas
    • Downtrend: progressively lower value areas
  • Reversal/continuation ideas are derived from how value areas progress across profiles.

Explicit trading frameworks / step-by-step playbooks

A) Next-day / next-session directional bias (value-area comparison)

  • Method: compare the last volume profile vs the second last
  • Example logic:
    • Trend change: the first time a value area appears “higher” (within an overall downward value sequence) can suggest an upward shift.

Continuation logic described:

  • In an uptrend:
    • a single higher value area → likely continuation upward next session/day
  • In a downtrend:
    • a single lower value area → likely bearish continuation next session/day

B) Profile shape model: P / B / D (PBD method)

Shapes

  • P profile: uptrend → consolidation → “P-shaped” distribution
  • B profile: downtrend → consolidation
  • D profile: sideways / range

Breakouts from these distributions produce specific trade setups.

P setups (uptrend → consolidation)

  1. Breakout + retest upward
    • Break above consolidation with decisive candle
    • Retest upper boundary as support
    • Look for buy aggression on breakout and buy aggression / selling absorption on retest
  2. Bear trap / failed breakdown
    • Break down, then re-enter range quickly
    • Retest lower boundary as support and push toward the other side (or resume uptrend)
    • Confirm using signs of absorption/aggression
  3. Bull trap at upper boundary
    • Re-enter range and move at least toward the lower boundary
  4. Markup → markdown distribution
    • Break range down
    • Retest lower boundary as resistance
    • Continue down

B setups (mirror logic)

  • Same four scenarios, inverted (e.g., breakout/retest and bull-trap vs bear-trap equivalents).

D setups (range trading)

  • Two scenarios:
    • False breakout to either side
    • Real breakout to either side
  • Range boundaries:
    • Order-flow trader: uses value area extremes
    • Price-action trader: uses visible price boundaries

C) “80% rule” (value area mean reversion to opposite extreme)

  • If price opens outside the previous session’s value area and then re-enters it:
    • roughly ~80% probability the market trades toward the opposite extreme of the value area.
  • Clarification:
    • requires acceptance inside value, not just a quick tick back.

Volume-profile zone models (core value and fixed range)

Model 1: Core value zone as “implicit supply/demand”

Demand zone setup

  1. Identify a high and a higher high
  2. Anchor a fixed range volume profile from high → higher high using core value area (40%)
  3. Prefer VA positioned near the low between highs
  4. Expect retracement to that demand zone, then next impulse

Supply zone setup

  1. Identify a low and then a lower low
  2. Anchor fixed range profile from low → lower low using core value area (40%)
  3. Prefer VA positioned near the high between lows
  4. Expect retracement to supply zone, then next impulse
  • Examples included (British pound futures) plus a failed zone becoming valid afterward:
    • A failed supply zone can flip to demand, used as a continuation signal.

Model 2: Session-based profile mapping (RTH vs ETH / overlap)

  • Uses previous day / previous session profile to infer key levels for the current session.
  • Boundary levels come from:
    • POC
    • Value area extremes (broad 70% or core 40%)

Index futures trading hours

  • RTH (cash equities session): 9:30–16:00 New York
  • ETH (overnight): 18:00–9:30 New York
  • Use RTH key zones to trade ETH (and vice versa).

Currency futures sessions mentioned

  • Sydney, Tokyo, London, New York
  • Uses fixed range or overlap areas to find reversal points.

Example behaviors described

  • Nasdaq: using broad value (70%) to find demand/reversal points in overnight/ETH
  • ETH core value zone used as a level for subsequent RTH behavior:
    • e.g., rejection of a value-area low and bullish close above a value-area high
  • Euro futures: London POC used as a level for New York continuation/move

Platform / data quality notes (risk/caution)

  • TradingView volume profile settings may be too imprecise by default.
  • Recommended TradingView configuration:
    • Increase precision by increasing number of rows (example: 400 rows)
    • Enable reference elements: Value Area High / Value Area Low / Point of Control
  • Data disclaimer/caution:
    • TradingView may compute volume profile using heuristic approximation (estimated distribution rather than true tick-level order flow).
    • More accurate tools (example: ATAS) use tick-level order flow.
    • Shape/POC/VA boundaries are usually consistent, but for very precise tactics (e.g., scalping), tick-level platforms are preferable.
  • The summary notes that no explicit “not financial advice” text appeared in the subtitles.

Tickers / instruments mentioned

  • Nasdaq (session volume profile example)
  • S&P 500 (explicitly referenced in the value area example)
  • British pound futures
  • Euro futures
  • Index futures examples named: S&P, Nasdaq, Dow
  • No individual stock tickers or ETF symbols were mentioned.

Presenters / sources

  • Quoted/attributed presenter: Richard Wyckoff (smart money concepts/laws; also referenced via auction-market theory and trading psychology framing)
  • Video presenter/source: FractalFlowPro
    • Website: fractalflowpro.com
    • Email: support@fractalflowpro.com

Original video