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ORDER FLOW · HEATMAP COLOUR SCALE

Liquidity Heatmap Colour Scales in Crypto: What Price Response Adds to the Reading

A heatmap's colour scale decides which liquidity looks important. Price response tests whether the bright levels actually mattered.

By ChartsPod Editorial Team · Reviewed by ChartsPod Research
Published · Updated · 5 min read

Short answer

On a liquidity heatmap, the colour scale (relative to visible range, or absolute size thresholds) determines which resting orders appear bright. A level that looks like a wall under a relative scale may be ordinary under an absolute one. To test whether bright levels matter, record each level's size in absolute terms, then measure price behaviour when price reaches it: stall, reversal or pass-through. If response doesn't differ from random levels, the colour was misleading.

Possible price responses

Price responseReading
Price stalls at bright levelSize mattered
Passes throughSize pulled or absorbed
Reverses before reachingLevel shaped behaviour
No difference from randomColour misled
Illustrative stall rate at levels (%)Illustrative stall rate at levels (%): Bright (relative scale) 44 %; Large absolute size 58 %; Random levels 39 %.ILLUSTRATIVE STALL RATE AT LEVELS (%)Bright (relative scale)44 %Large absolute size58 %Random levels39 %
Absolute size separated better than colour. Original ChartsPod editorial graphic.

Measuring the response

Record each level's absolute size and the colour scale in use; define 'stall' (e.g. no trade beyond the level for N seconds after first touch) and compare with random price levels at similar distances.

Before concludingBefore concluding: Same venue for flow and price; Closed bars only; Response measured over a fixed number of bars; Book context at the level; Outcome logged, including failures.BEFORE CONCLUDINGSame venue for flow and priceClosed bars onlyResponse measured over a fixed number of barsBook context at the levelOutcome logged, including failures
Response turns a pattern into evidence. Original ChartsPod editorial graphic.

Example

Illustrative: under a relative scale, a 40 BTC bid glowed bright during a quiet hour; price passed through it in seconds. Levels above 150 BTC in absolute terms stalled price more often.

Related: ChartsPod Liquidity Heatmap: Settings to Check Before Your First Analysis, Heatmap Sampling Intervals in Crypto: What Price Response Adds to the Reading.

Watch the pattern and the price response on the same chart.

Open the live chart in ChartsPod

If response doesn't differ from random levels, the colour was misleading.

Compare Liquidity Heatmap Colour Scales in Crypto across Binance, Bybit, OKX and Hyperliquid markets.

Open markets in ChartsPod

Questions readers ask

Why does colour scale matter?

It decides which levels look important.

How do I test a level?

Record absolute size and measure price response.

What's the benchmark?

Random levels at similar distance.

Sources and methodology

Order-flow concepts are explained from first principles and from TradingView's documented footprint and CVD methods; ChartsPod features were checked on its public pages on 17 October 2026. All numbers in examples are illustrative, not recorded market data.

  1. TradingView: Volume footprint charts, a complete guide — intrabar method, row size, imbalance, repainting.
  2. TradingView: Cumulative Volume Delta — intrabar estimation, anchor period.
  3. ChartsPod: product overview, pricing and FAQ — free terminal, venues, modules, no order placement; checked 17 Oct 2026.

This article explains research tools and workflows. It is not financial advice, does not recommend buying or selling any asset and does not predict prices. Crypto derivatives carry a risk of rapid and total loss of margin.

CHARTSPOD EDITORIAL EDITION · RESEARCH AND EDUCATION ONLY · NOT FINANCIAL ADVICE.