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Time-and-Sales Trade Filters in Crypto: What Price Response Adds to the Reading

Filtering the tape to large trades shows where size traded. Price response shows whether those large trades led or were absorbed.

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

Short answer

Time-and-sales filters hide trades below a size threshold so large prints stand out. Filtered prints are a hypothesis: were large traders leading? Test it by recording price change after each filtered print or cluster. Note that venues aggregate fills, so one 'large trade' may be many small orders; and the threshold should scale with the market. A filter that shows prints followed by moves in their direction adds evidence; one that doesn't is just a view.

Possible price responses

Price responseReading
Price follows large printsSize leading
Price reversesSize absorbed
No patternThreshold not informative
Prints during liquidationsForced, not chosen
Illustrative: price change after filtered prints (bps)Illustrative: price change after filtered prints (bps): Buys > 20 BTC +6.0 bps; Sells > 20 BTC -4.0 bps; Random times +0.3 bps.ILLUSTRATIVE: PRICE CHANGE AFTER FILTERED PRINTS (BPS)Buys > 20 BTC+6.0 bpsSells > 20 BTC-4.0 bpsRandom times+0.3 bps
Compare with random times. Original ChartsPod editorial graphic.

Measuring the response

Set the threshold relative to the median trade size, record price change over a fixed window after each print, and compare with the same windows at random times.

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: buy prints above 20 BTC are followed by +6 bps on average over a minute, against +0.3 bps at random times. With enough cases, the filter carries information.

Related: ChartsPod Time and Sales: Settings to Check Before Your First Analysis, Iceberg-Like Tape Patterns 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

A filter that shows prints followed by moves in their direction adds evidence; one that doesn't is just a view.

Compare Time-and-Sales Trade Filters in Crypto across Binance, Bybit, OKX and Hyperliquid markets.

Open markets in ChartsPod

Questions readers ask

Why filter the tape?

To see large trades.

Do large trades lead price?

Test against random times.

Is a large print one order?

Not necessarily; fills can be aggregated.

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.