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Module 1 · Foundations of Order Flow

Anatomy of a Footprint Bar

The cell grid, the POC, the bar delta, and where the data comes from.

In this lesson you'll

  • Read every component of a single footprint bar
  • Locate the bar's Point of Control and compute its delta
  • Understand the data feed requirements that make a footprint trustworthy

A footprint bar is a vertical stack of rows, where each row is one price level (one tick) inside the bar's high–low range. Each row is split into a left number (bid volume) and a right number (ask volume). Around that grid, platforms add a few summary readouts.

4499.754500.004500.254500.504500.7518070300140120350602104590POCES 5-minΔ +155vol 156512
Bid — aggressive sellersAsk — aggressive buyersBuy imbalanceSell imbalancePOC (most volume)Candle = bar direction
Anatomy. ① A single cell at 4500.25 reads 120 × 350 — 120 traded at the bid, 350 at the ask. ② The yellow box is the POC: the price level with the most total volume in the bar (470 here). ③ The footer shows bar delta = +155 (ask total 860 − bid total 705) and total volume.

Point of Control (POC)

The POC is the price level with the highest total traded volume (bid + ask) in the bar. It marks where the most business was done — the price of maximum agreement. We'll go much deeper on session-level POC in Module 3; for now, just learn to spot it (the highlighted row).

Bar delta

Delta
The net aggression in the bar: total ask volume minus total bid volume (aggressive buys minus aggressive sells).
Delta = Σ Ask − Σ Bid = 860 − 705 = +155

A positive bar delta means buyers were the more aggressive side on net; negative means sellers were. (We'll see in Module 5 that a positive delta does not guarantee price went up — that's where absorption gets interesting.)

Where the data comes from — and why it matters

Footprint data is built from the Time & Sales feed (the tape): the stream of executed trades, each with price, size and timestamp, combined with the prevailing bid/ask at the moment of each trade. The platform must decide, for every print, whether it was an aggressive buy or sell.

  1. Best case — exchange aggressor flag. Major futures exchanges (CME, EUREX) publish which side was the aggressor. When present, the bid/ask split is accurate, not guessed.
  2. Fallback — tick rule. Without a flag, the platform infers aggression from trade price vs the quote (at/above ask → buy; at/below bid → sell) and tick direction. This is an approximation and can misclassify trades, especially inside the spread.
Garbage in, garbage out. Footprints need unfiltered tick (1-tick) data. Aggregated or minute data cannot reconstruct the bid/ask split, and a poor feed corrupts the entire chart. This is also why footprints are most trusted on centralized futures markets and far less reliable in spot forex (which has no centralized volume).

Key takeaways

  • A footprint bar = rows of price levels, each split into bid (left) and ask (right) volume.
  • POC = the price level with the most total volume in the bar.
  • Bar delta = total ask − total bid; positive = net aggressive buying.
  • Footprints are built from tick-level Time & Sales; they need quality data and an aggressor source to be trusted.

Check your understanding

Pick an answer to reveal instant feedback. Answer every question to complete the lesson.

Question 1 of 3
In a footprint bar, total ask volume is 1,514 and total bid volume is 688. What is the bar's delta?
Question 2 of 3
Which price level is the bar's Point of Control (POC)?
4509.754510.004510.254510.507050180240110953060Quiz barΔ +55vol 835
Bid — aggressive sellersAsk — aggressive buyersBuy imbalanceSell imbalancePOC (most volume)Candle = bar direction
Question 3 of 3
Why do footprint charts require tick-level (1-tick) data rather than aggregated minute data?
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Educational content only. Nothing here is financial or trading advice. Order-flow and options patterns shift probabilities; they never guarantee outcomes.

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