ChartsPod Heatmap History: Live Sessions and Missing Depth
A liquidity heatmap shows depth over time. Whether you see the past depends on how depth was captured. Know the difference before reading a gap.
Short answer
Before reading history on ChartsPod's liquidity heatmap, determine whether the depth you see was recorded during your session or served from stored history: open the heatmap, note the earliest timestamp with depth, close the tab for a known period, reopen and see whether that period fills. ChartsPod's public pages do not state a retention period, so measure it. Treat any unrecorded interval as unknown, not as an empty book, and check whether trades printed during it.
Recorded vs stored depth
Measure it in five minutes
Control names in the terminal can change between releases. If a label differs from this guide, look for the setting that does the job described.
Practical habits
Open the heatmap early in your session so the recorded portion covers the period you care about. If you return after a break, note the gap before reading levels.
When saving a screenshot of an important level, include the time range and whether the depth was continuous. When a level matters for a trade, confirm it on the live order book at that moment rather than relying on earlier heatmap colour.
Example: a misread gap
Illustrative: a trader opens the heatmap at 10:00 and sees a dense bid band from 10:00 onwards, with nothing before. They conclude the bids appeared at 10:00. The close-and-reopen test shows the heatmap records only while open; the bids may have been there for hours. The correct note is 'bids present from at least 10:00'.
Reading missing depth
| Observation | Interpretation |
|---|---|
| Blank band, trades printed during it | Not recorded |
| Blank band, no trades | Possibly disconnected; check feed |
| Thin band, normal trades | Liquidity genuinely thin |
Run the history test on a perpetual's liquidity heatmap.
Open the live chart in ChartsPodKnow whether heatmap history is recorded or stored, and never read unrecorded time as zero liquidity.
Related: TensorCharts vs ChartsPod: Compare Crypto Heatmap Coverage, How to Diagnose Missing Order-Flow Data in ChartsPod.
Put Heatmap History next to price, flow and positioning in one workspace.
Open a ChartsPod workspaceQuestions readers ask
How much heatmap history does ChartsPod keep?
Its public pages do not state a retention period; measure it with the close-and-reopen test.
Why is part of my heatmap blank?
Depth may not have been recorded for that period; check whether trades printed.
Is a blank area zero liquidity?
Not unless you confirm depth was being recorded.
Sources and methodology
ChartsPod capabilities were checked against its public overview, documentation index, markets and indicator pages on 17 October 2026. Exact control names inside the terminal can change between releases, so this guide describes what to set and check rather than quoting menu labels. Venue availability is shown per tool in the terminal. Worked examples use illustrative numbers. ChartsPod's public pages do not state heatmap history retention; this guide shows how to measure it.
- ChartsPod: product overview, pricing and FAQ — free terminal, venues, modules, no order placement; checked 17 Oct 2026.
- 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.