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AI · ORDER-FLOW ANALYSIS

AI Crypto Order-Flow Analysis: A Prompt That Requests Evidence and Invalidation

Order-flow questions need exact venues, price levels and time windows. Vague prompts get vague 'buyers stepped in' answers.

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

Short answer

An AI order-flow prompt should specify the venue, contract and a time window around a level, then ask for footprint data at that level (bid and ask volume, delta, imbalances with settings), order-book changes before and after (liquidity added, pulled or consumed), cumulative delta trend with reset time, and price response per unit of delta. Ask it to classify the interaction (absorbed, consumed, pulled) with evidence and to list data gaps, such as heatmap periods not recorded.

The prompt

PartText to include
Scope'Venue A BTCUSDT perp, 59,800–60,000, 13:00–14:00 UTC.'
Footprint'Bid/ask volume and delta per row, row size stated.'
Book'Resting liquidity before/after, pulled vs filled.'
CVD'Trend with reset time.'
Classification'Absorbed / consumed / pulled with evidence; gaps listed.'
Order-flow evidence layersOrder-flow evidence layers: Footprint at level — aggression; Order book before/after — liquidity; CVD trend — net aggression; Price response — outcome.Footprint at levelaggressionOrder book before/afterliquidityCVD trendnet aggressionPrice responseoutcome
Each layer should be sourced. Original ChartsPod editorial graphic.

Evidence to require

The answer must includeThe answer must include: Row size and venue; Bid/ask and delta at the level; Book changes with timestamps; CVD with reset; Classification with evidence; Recording gaps listed.THE ANSWER MUST INCLUDERow size and venueBid/ask and delta at the levelBook changes with timestampsCVD with resetClassification with evidenceRecording gaps listed
For order-flow analysis, reject answers that skip these. Original ChartsPod editorial graphic.

Red flags in the output

  • 'Whales bought' without data
  • Book claims without timestamps
  • CVD without reset or venue
  • No mention of unrecorded periods

Related: How to Read a Crypto Heatmap When Liquidity Gets Pulled, Footprint Absorption vs Exhaustion: Compare Price Response.

Paste the order-flow analysis prompt into ChartsPod's agent and open each tool call it makes.

Open the ChartsPod terminal

An AI order-flow prompt should specify the venue, contract and a time window around a level, then ask for footprint data at that level (bid and ask volume, delta, imbalances with settings), order-book changes before and after (liquidity added, pulled or consumed), cumulative delta trend with reset time, and price response per unit of delta. Ask it to classify the interaction (absorbed, consumed, pulled) with evidence and to list data gaps, such as heatmap periods not recorded.

Check AI Crypto Order-Flow Analysis against a live market before relying on it.

Try it in ChartsPod

Questions readers ask

What makes an order-flow prompt good?

Exact venue, level, window and requested data layers.

Should the AI classify the level?

Yes, with evidence: absorbed, consumed or pulled.

What gaps matter?

Unrecorded heatmap periods and disconnects.

Sources and methodology

ChartsPod's AI agent (69 tools, visible tool calls, bring-your-own-key, no order placement) was checked on its public pages on 17 October 2026. Prompts are illustrative templates; outputs vary by model and data.

  1. ChartsPod: product overview, pricing and FAQ — free terminal, venues, modules, no order placement; checked 17 Oct 2026.
  2. ChartsPod documentation — guides for order flow, derivatives, alerts, backtests, journal and workspaces.

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.