Concept
Footprint Concepts
Footprint Concepts are Volume & Order Flow concepts. The Library holds 5 implementations, each one a working definition you can pull into Quant.
bid×ask
Top Footprint Concepts indicators
5 total
What are Footprint Concepts?
A footprint chart replaces each candle with a ladder of prices and shows, at every price, how much volume traded at the bid versus at the ask (a bid×ask split). Volume at the ask means aggressive buyers lifted offers; volume at the bid means aggressive sellers hit bids. From that grid come the core footprint concepts: per-bar volume delta (ask volume minus bid volume), the bar's own point of control (its heaviest price), and diagonal bid/ask imbalances, which compare ask volume at one level against bid volume one tick lower because those are the two sides of the same auction.
The recurring reads are about whether aggression gets rewarded. Stacked imbalances, one side dominating by a configured multiple on several consecutive levels, mark initiative that often leaves intrabar support or resistance behind. Absorption is the mirror image: heavy aggressive volume that fails to move price because passive orders soak it up. At bar extremes, unfinished business flags an auction that ended while both sides were still trading. Footprints matter because candles show what price did, while the bid×ask detail shows who was pushing and whether it worked; the cost is that they need per-trade data with reliable buy/sell classification.
How to read a footprint chart
Reading a footprint is a repeatable scan of each bar's grid, from the extremes inward.
- 1Orient each cell: the bid-side number is volume from aggressive sellers, the ask-side number is volume from aggressive buyers, and comparisons run diagonally, ask at one price against bid one tick below.
- 2Scan for imbalances: cells where one diagonal side exceeds the other by your configured multiple. Isolated ones are mostly noise; stacked imbalances across consecutive prices show initiative worth respecting.
- 3Check whether aggression moved price. Big totals with progress confirm initiative; big totals with no progress signal absorption, and a heavy level that holds often becomes the bar's key reference.
- 4Inspect the extremes: thin, one-sided prints at a high or low suggest the aggressor ran out, while a fully traded extreme leaves unfinished business the market frequently, but not always, revisits.
How traders use it
- To audit a level test: at support or resistance, the footprint shows whether aggressive buyers are being rewarded with follow-through or absorbed by passive sellers, which is unknowable from the candle alone.
- To track initiative: stacked imbalances and strong per-bar delta in the direction of a move argue for continuation, and the exact prices where they printed are watched on any retest.
- To diagnose turns: exhaustion prints at an extreme, absorption against the trend, and delta that disagrees with price feed reversal reads, usually checked against cumulative volume delta and structure rather than traded on their own.
- To qualify breakouts: stacked imbalances resolving beyond a level suggest real acceptance, while a break whose footprint shows absorption right at the edge warns of a trap.
Footprint concepts vs other order-flow tools
Volume Delta: Delta compresses each bar's buying and selling into one net number; the footprint keeps the full price-by-price grid, so you can see where in the bar the fight happened, not just who won.
Tape Reading: The tape (time and sales) is the raw event stream, print by print; a footprint aggregates those prints into per-price, per-bar cells, trading granularity for structure.
DOM: The DOM shows resting limit orders waiting to trade; the footprint shows volume that already traded. One is stated intention, the other is evidence, and they are often read together.
More Footprint Concepts implementations
Related concepts · Order-flow & microstructure
Concept family
Volume & Order Flow
87 concepts mapped · 62 in the Library
Footprint Concepts FAQ
What does bid×ask mean on a footprint chart?
Each price level shows two numbers: volume executed at the bid (initiated by sellers hitting resting bids) and volume executed at the ask (buyers lifting resting offers). The split estimates which side was aggressive. It classifies the aggressor only; every trade still has both a buyer and a seller, so the two columns describe initiative, not ownership.
Why are footprint imbalances measured diagonally?
Because buying and selling at the same printed price are not opposite sides of one auction. Aggressive buys at a price lift the offer there, while the competing aggressive sells occur at the bid one tick below. Comparing ask volume with the bid volume diagonally beneath it lines up the two flows that actually oppose each other.
Do you need special data for footprint charts?
Yes. Footprints require trade-by-trade data with each print classified as buyer- or seller-initiated, which platforms infer from quote data or a tick rule. Standard OHLCV bars cannot be decomposed into a real footprint, and on feeds without reliable classification, such as some spot crypto or CFD data, the cells are approximations.
Build Footprint Concepts your way.
Quant writes, tests, and refines it with you — then it runs on LuxAlgo charting or ports to TradingView.
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