A footprint chart breaks a bar into traded volume at individual price levels. Depending on the platform, the left column often represents volume executed at the bid and the right column volume executed at the ask. It helps traders study execution intensity, but it cannot reveal every hidden intention.
How to read a footprint cell
A cell such as 120 × 240 may indicate 120 contracts executed at the bid and 240 at the ask at a particular price, depending on platform convention. The net delta for that cell would be +120 contracts. Check the platform legend before interpreting colors or column placement.
Horizontal versus diagonal imbalance
Some tools compare bid and ask at the same price; others compare ask volume at one price against bid volume one tick below (diagonal imbalance). An imbalance threshold such as 300% is a configurable filter, not an institutional rule or predictive guarantee.
Stacked imbalances
Several adjacent imbalances in one direction can indicate concentrated aggressive execution. The key follow-up is whether price accepts those levels or immediately returns through them. A stack without price progress can be as informative as a successful breakout.
Absorption at a swing extreme
At a prior high, aggressive buying may print large ask-side volume while price struggles to advance. This could reflect passive selling absorption. Confirm with repeated failures to progress, subsequent selling response and a clearly defined invalidation point.
Exhaustion versus low liquidity
A small amount of volume at the extreme of a move can suggest reduced aggressive participation, but it can also reflect a thin market, off-hours trading or a data gap. Compare with the session, instrument liquidity and surrounding auction structure.
GC and NQ configuration
Footprint readability depends on tick size, aggregation, session template and volatility. Gold (GC) and Nasdaq (NQ) have different market behavior; use instrument-appropriate tick grouping and test settings rather than copying a fixed template.
What footprint cannot prove
A footprint does not identify the legal identity of a buyer or seller. It does not directly prove spoofing, iceberg execution or a specific institution’s intent. DOM liquidity may be canceled, and historical feeds may omit or aggregate details.
A repeatable practice checklist
Identify auction location; review the footprint at the test; note delta, volume and imbalances; observe whether price advances or stalls; record entry trigger, invalidation and outcome. Compare many samples rather than relying on one striking screenshot.
Frequently asked questions
What is a footprint chart?
A footprint chart displays traded volume at each price level within a bar, often separating executions at bid and ask.
Is a footprint chart better than candlesticks?
It answers different questions. Candles summarize price movement; footprints add execution detail when suitable data is available.
Can I use a footprint chart without real tick data?
You can display estimates from aggregated data, but those are not equivalent to true historical bid/ask execution records.