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Market Profile / Volume Profile

Updated Jun 23, 2026 at 8:47pm

  • 1620a2c3f2dd Point of Control 1 1,376
  • 161832c54d79 Value Area 1 1,114
  • 16198d4c310b High & Low Volume Nodes 1 1,240
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Market Profile and Volume Profile are two related but distinct tools that re-organize a session's (or any window's) trading activity by price level instead of by time, producing a horizontal distribution that shows where the market transacted most heavily. Market Profile — developed by J. Peter Steidlmayer at the Chicago Board of Trade in the 1980s — measures time: it stacks letters (TPOs) at each price to show where the market spent the most time. Volume Profile measures volume: it is a histogram of contracts/shares traded at each price (volume-at-price), independent of time. Both are framed by auction-market theory — the idea that a market is a continuous two-way auction searching for a price that facilitates trade ("value") — and both surface the same three structural objects covered by this section's child nodes: the Point of Control, the Value Area, and High & Low Volume Nodes. This node defines the two tools and routes to those children; it does not duplicate their depth.

How they're formed

Market Profile (TPO). The session is divided into fixed brackets (the canonical default is 30-minute periods), each assigned a letter — A for the first bracket, B for the second, and so on. Every price touched during a bracket gets that bracket's letter placed beside it. A "TPO" (Time-Price-Opportunity) is one letter at one price. Stacking all letters horizontally and collapsing them to the left edge produces a profile that is usually roughly bell-shaped: prices the market kept returning to accumulate many letters (a wide row); prices it passed through quickly accumulate few (a narrow row). TPO counts are a proxy for time spent, not volume.

Volume Profile (volume-at-price). Instead of counting time, each price row sums the actual volume traded there over the chosen window. The result is a histogram of volume-at-price. Note the contrast with the ordinary volume bars at the bottom of a chart, which distribute volume across time; Volume Profile distributes it across price. Common TradingView variants differ only in the window: Visible Range (VPVR), Fixed Range (VPFR), and Session Volume (VPSV).

Because TPO time and traded volume usually concentrate at similar prices, the two profiles often look alike and produce nearby key levels — but they can diverge (e.g. a price the market sat at on thin volume), and that divergence is itself information.

The shared structural objects (the children)

Both tools surface the same three objects; each has its own child node with the full mechanics:

  • Point of Control (POC) — the single price row with the most TPOs (Market Profile) or the most volume (Volume Profile); the session's "fairest" / most-accepted price. → see child node.
  • Value Area (VA) — the contiguous band around the POC containing a chosen share of the session's activity, conventionally ~70%, bounded by the Value Area High (VAH) and Value Area Low (VAL). The 70% default is a rough nod to one standard deviation of a normal distribution (≈68.3%); it is the common platform default but is user-adjustable. The standard construction starts at the POC and repeatedly adds whichever adjacent row (above or below) has the greater activity, in pairs, until the accumulated total reaches the target percentage. → see child node.
  • High & Low Volume Nodes (HVN / LVN) — peaks and valleys in the profile away from the POC. HVNs mark prices of heavy acceptance (consolidation); LVNs mark prices of rejection / fast travel. → see child node.

How they're used in practice

The recurring rationale is that price tends to revisit high-activity prices and move quickly through low-activity gaps. From this, practitioners derive a context map rather than a signal:

  • Value-area edges (VAH/VAL) as reference S/R. A common heuristic ("80% rule" in Market Profile lore) is that when price re-enters the prior value area and holds, it tends to traverse toward the opposing edge; this is a folklore tendency, not a measured probability.
  • POC as a magnet / mean. Price is often said to gravitate back toward the POC when away from it; the POC also serves as a pivot for "above value = relatively expensive, below value = relatively cheap" framing.
  • LVNs as breakout / rejection lines and HVNs as stall zones. Thin nodes are watched for fast moves or clean rejections; thick nodes for absorption and chop.
  • Day-type / open-relationship reading (Market Profile-specific). Steidlmayer's framework classifies sessions (trend day, balanced day, etc.) and reads the open relative to the prior value area for an early read on whether the day is one-directional or rotational.

These are context tools — they describe where activity has clustered, not a directional forecast. The style-specific operational mechanics (exact swing entries, stops, targets, hold periods) live in the Swing Trading branch; defer to it rather than duplicating here.

Adoption, debate & evidence

Both tools originated in the futures / institutional world (Market Profile was literally a CBOT product) and have since become broadly available to retail through TradingView, Sierra Chart, NinjaTrader, Bookmap and similar platforms. They are widely used and conceptually coherent: anchoring decisions to where real transactions occurred is more defensible than many price-only indicators, and the auction-theory logic is internally consistent.

Honest caveats. Rigorous, peer-reviewed base rates for profile-derived signals are thin — most of the evidence is practitioner assertion and back-of-envelope study rather than published academic work, and the concepts are frequently over-mystified in retail education. Volume Profile's reliability also depends on clean volume data: in equities, fragmented venues, dark pools and off-exchange prints mean the tape your platform sees may understate true volume-at-price; in spot FX there is no consolidated volume at all, so profiles there rest on a single venue's proxy and should be treated with caution. The 70% value-area figure is a convention, not a law of the market. Treat both tools as a structural context layer whose levels gain weight only when they coincide with other evidence.

System relevance

Within Delvantic, this node is the section overview for Market Profile / Volume Profile; its three children (Point of Control, Value Area, High & Low Volume Nodes) carry the operational detail and should be retrieved for any specific question about those objects. Style-specific application belongs to the Swing Trading branch.

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