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TradingView Footprint vs Trade-Based Footprint: Data Differences

TradingView documents exactly how its Volume Footprint is calculated. Reading that method closely shows where it matches a trade-based footprint and where it cannot.

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

Short answer

TradingView's Volume Footprint builds each candle from lower-timeframe bars (1 tick on professional plans, otherwise 1 second or 1 minute intraday, coarser with age), classes each sub-bar's volume as buying or selling by its close direction, sets automatic row height from 0.2 × normalised ATR, flags imbalances at a default 300% ratio and repaints by design. A trade-based footprint classes each print by its taker side and does not change after the bar closes. Expect agreement on totals and trending bars, and disagreement on side split, imbalances and fast reversals.

TradingView's method, step by step

How TradingView assembles a footprint candleHow TradingView assembles a footprint candle. Steps: 1. Choose sub-bars — 1T (pro), 1s, 1m, then 60m as history ages; 2. Classify each — Up close = buy, down close = sell; 3. Bucket by price — Row height: ATR-based or manual ticks; 4. Flag imbalances — Default ≥ 300% ratio; 5. Recalculate — Repaints as finer data arrivesDOCUMENTED METHOD1Choose sub-bars1T (pro), 1s, 1m,then 60m as historyages2Classify eachUp close = buy,down close = sell3Bucket by priceRow height: ATR-based or manualticks4Flag imbalancesDefault ≥ 300%ratio5RecalculateRepaints as finerdata arrives
Summarised from TradingView's Volume Footprint guide. Original ChartsPod editorial graphic.

The guide gives the imbalance test as max(buy, sell) ≥ (imbalance% / 100) × min(buy, sell), marks buy imbalances right of a level and sell imbalances left, and counts consecutive same-side imbalances as stacked. It recommends manual ticks-per-row for alerts that match the chart.

What a trade-based footprint does differently

StepTradingView footprintTrade-based footprint
InputLower-timeframe barsIndividual trades with taker side
Side classificationSub-bar close directionTaker side of each print
Older historyCoarser sub-barsSame granularity while trades exist
After bar closeCan repaintStable
Row heightATR-based auto or manualUsually manual ticks
Where results usually agreeWhere results usually agree. Total volume per candle: Agree yes, Diverge no. Price of highest volume row: Agree part, Diverge part. Buy/sell split on trending bars: Agree yes, Diverge part. Buy/sell split on reversal bars: Agree no, Diverge yes. Imbalance flags and stacks: Agree no, Diverge yes.AgreeDivergeTotal volume per candle●○Price of highest volume row◐◐Buy/sell split on trending bars●◐Buy/sell split on reversal bars○●Imbalance flags and stacks○●● yes ◐ partial / depends ○ no ? not verified
Totals tend to match; side-dependent outputs differ. Original ChartsPod editorial graphic.

Test the difference on your own chart

  1. Pick one perpetual and a 1-minute chart containing a sharp intrabar reversal.
  2. In TradingView, set manual ticks per row; note buy/sell per row on that candle.
  3. In a trade-based tool, set the same row size on the same venue and contract.
  4. Compare totals first, then side split, then imbalance flags.
  5. Reload TradingView later and check whether the candle repainted.

Run the comparison with ChartsPod's footprint and cumulative delta on the same contract.

Open the live chart in ChartsPod

The same logic applies to CVD

TradingView's CVD guide also estimates delta from intrabar price and volume, with anchor and resolution affecting results. A trade-based cumulative delta sums signed prints. If your footprint and CVD come from different methods, they can disagree even on the same platform. See TradingView CVD for Crypto: Intrabar Estimates and Anchor Settings and ChartsPod CVD Reset: Match Your Session Before Reading Divergence.

Use TradingView's footprint for broad context across assets; use a trade-based footprint where the side of each print decides the trade.

Platform choice: Choosing a Crypto Footprint Platform: Exact Trades or Estimated Flow?.

Put TradingView Footprint vs Trade-Based Footprint next to price, flow and positioning in one workspace.

Open a ChartsPod workspace

Questions readers ask

Does TradingView's footprint use tick data?

Only on professional plans with the 1-tick option. Otherwise it uses 1-second or 1-minute bars intraday.

What is the default imbalance threshold?

300%, meaning one side must be at least three times the other.

Why did my footprint change after reload?

TradingView documents the study as repainting; bars can be recalculated from finer data.

Sources and methodology

ChartsPod capabilities were checked against ChartsPod's public pages (home, docs, markets and indicators) on 17 October 2026. Third-party facts come only from the official sources listed. Venue availability inside ChartsPod is shown per tool, so confirm the exact exchange and contract in the terminal before relying on a feature. Worked examples use clearly labelled illustrative numbers, 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. TradingView Pine Script: Repainting — live vs historical calculation.
  4. 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.