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Observed Crypto Liquidity Heatmap

Observe the appearance and disappearance of displayed price buckets over successive snapshots.

Select an asset and timeframe after JavaScript loads the public chart. The methodology below is available without live data.

What this chart measures

History begins when you connect. Candles cannot reconstruct old orders, and sampled snapshots do not reveal every cancellation or execution between requests.

Select the asset, exchange and timeframe before comparing readings. Each venue response is normalized to the selected spot market. The chart shows completed candles and labels snapshot age; missing or stale observations remain visibly unavailable.

Use the other evidence without conflating it

Current order-book depth represents displayed resting liquidity. Candle volume is completed activity over the selected interval. CMF and OBV are disclosed price-and-volume proxies. They are useful for describing different parts of an observation but do not identify whale holdings or guarantee a direction.

The detailed book below the chart lets you check quantities and quote notionals behind the overlay. Compare a proposed size against available displayed depth, then account separately for fees, price changes, cancellations and fragmented venue liquidity.

Controls and reproducibility

Change the visible range, zoom or pan, choose a secondary study and switch the price scale. Export the available data or a chart SVG to preserve a research record. Session liquidity data must first be collected or imported; chart history is not manufactured from price candles.

Read the heatmap as a sampled record of this session

Each heatmap observation comes from a retrieved book snapshot. Color describes the relative size of supplied quote liquidity inside a price bucket at the recorded time. It does not reconstruct every order update between requests, and an empty interval does not prove that the market had no orders during that interval.

Compare a bright area with its price distance, coverage and persistence settings before calling it significant. A relative palette can make a cluster stand out within a quiet sample without making it large in monetary terms. Repeated appearances at one bucket may be different orders. Movement or disappearance can result from cancellation, repricing, trading or a changed observation window; the image alone cannot distinguish these causes.

Use the session to ask whether displayed liquidity repeatedly appeared near a price reference while you were observing it. For an execution scenario, return to the current book and calculate the cost of the proposed quantity. Imported observations remain a supplied session dataset, not independently verified historical coverage. This view is an order-book heatmap, not a map of predicted liquidation prices.

The session display positions observations by their recorded times and leaves long sampling gaps blank. A persistence filter changes which repeated clusters remain visible; it does not create missing observations. Pausing stops collection in this page, so the resulting session is neither continuous market surveillance nor a historical archive.

Read the source and freshness labels before using a result. Public feeds can be delayed, blocked or unavailable by market, region or browser. Pause stops this page's feed collection. No chart observation guarantees a fill, identifies an order's owner or establishes future returns.

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