Bookmap: Liquidity Heatmaps, Order Flow and Market Data

What is Bookmap?

Bookmap is a market-depth and order-flow platform that combines a historical liquidity heatmap with executed trades. It lets a trader study how displayed orders change as price moves, rather than reconstructing the entire sequence from candles or a depth ladder that continually refreshes.

Its most useful distinction is between orders waiting in the book and trades that actually execute. The heatmap records displayed liquidity over time; volume bubbles show transactions. Reading those two layers together helps frame questions about absorption, liquidity withdrawal and the response to aggressive trading.

Bookmap supports futures, stocks and cryptocurrencies through supported connections. What a chart can show depends on the instrument, subscribed venues and data feed—not simply the software package.

At a glance

Table of contents

What the main displays tell you

Liquidity heatmap: the history of displayed orders

The heatmap shows how resting bids and offers develop at different prices. Brighter regions indicate larger displayed quantities within the chosen display settings. Persistent bands, newly added orders and disappearing liquidity can therefore be compared against price movement.

A bright band is evidence of displayed interest at that moment, not a guarantee that those orders will remain until price arrives. Orders can be modified or canceled. Hidden liquidity and trading outside the subscribed venues also prevent the image from representing every possible buyer or seller.

Brightness settings matter. Changing the scale or filtering can make a familiar quantity look visually stronger. Evaluate the amount, persistence and subsequent executions instead of making decisions from color alone.

Volume bubbles: transactions at the bid and offer

Volume bubbles place executed volume on the chart. Their size and color help distinguish the amount traded and the aggressive side of the transactions.

An aggressive buyer crosses the spread to trade with resting sellers; an aggressive seller trades with resting buyers. Every transaction still has both a buyer and a seller. “Buying volume” describes execution classification, not money entering a market without someone taking the opposite side.

The useful question is how price responds. Consider repeated buying at the offer with little upward progress: that can motivate an absorption hypothesis. It does not, on its own, identify the seller or establish that price must reverse.

Current order book and best bid/offer

The current order book supplies the live depth view, while the best bid and offer locate the spread. Combined with the history on the heatmap, they help distinguish what is available now from what was visible earlier.

This is especially relevant around a fast move. An apparently empty area may reflect pulled orders, limited feed depth or the selected display—not proof that no liquidity exists anywhere in the market.

Why the data connection matters

Bookmap’s connectivity documentation separates software, market data and brokerage services. A software license does not automatically provide every exchange feed or a trading account.

For futures, confirm the exchange, contract and depth supplied by the chosen connection. For stocks, check the venues included. Nasdaq depth, for example, should not be interpreted as the complete order book of all US equities trading venues. A consolidated trade stream and a particular venue’s depth can also have different scopes.

For crypto, an individual exchange book describes that venue. Comparing multiple venues may improve context, but differences in contracts, quote currencies and liquidity still matter.

Before evaluating a chart, write down its instrument and data source. This simple habit prevents a feed limitation from being mistaken for a market observation.

MBO, icebergs and advanced add-ons

Market by Order, or MBO, provides order-level detail beyond aggregate size at a price. Certain advanced Bookmap tools use compatible data to study order behavior and patterns associated with stops or iceberg orders.

Availability is specific to both the tool and the connection. The official documentation distinguishes stock-data compatibility from futures MBO support; an add-on included in a package does not make every feature work identically on every market.

Ask two separate questions before subscribing: Is the add-on included, and does my intended feed supply the data it requires? Treat detected behavior as an analytical output with defined coverage, rather than a direct identification of an institution’s complete position.

Getting started

1. Connect the intended market. Choose one futures contract, stock or crypto pair and confirm the exchange coverage and depth supplied by its feed. Check data access separately from the Bookmap software license.
2. Open the core display. Begin with the heatmap, volume bubbles and current order book. Adjust heatmap brightness and volume filtering until the resting orders and transactions remain readable together.
3. Frame one short sequence. Select a visible price area and a chart window that includes the approach and subsequent reaction. Follow whether liquidity remains, trades, refreshes or disappears as volume reaches the area.
4. Record and replay the interval. Where the connection supports it, review the same sequence with the original display settings. Pause before the outcome and compare what the resting book showed with the executions that followed.

For a hypothetical example, suppose a large offer disappears before price reaches it. The original visible obstacle has changed. That alone is useful information; it does not establish whether the order was canceled for strategic, routine or technical reasons.

Replay and execution are different tests

Recording and replay help inspect the relationship between depth, transactions and price. They are useful for practicing a repeatable observation process without needing a fresh live setup every time.

However, historical visualization does not establish achievable live fills. Queue position, latency, partial executions and slippage affect trading results. Confirm what history and depth are available from your connection, and keep a visual pattern review separate from a realistic execution test.

Chart trading also depends on supported brokerage and platform connections. Establish the difference between viewing data, simulated trading and routing live orders before using execution controls.

Choosing a Bookmap package

Bookmap’s lineup distinguishes entry access from packages for broader market coverage, chart trading and advanced tools. Global Plus should not be assumed to include every feature or add-on listed elsewhere on the website; the current lineup also includes Global Premium.

Use the official pricing comparison and connectivity guide to check:

• The instruments, simultaneous symbols and trading functions you need.
• Separate exchange or provider charges and applicable subscriber classification.
• The particular add-ons included and their data requirements.
• Recording, replay and historical-data availability.
• What any lifetime software license covers, including the treatment of separately supplied services.

Who benefits most from Bookmap?

Bookmap is most relevant to traders who need to examine intraday liquidity and execution behavior. It adds a historical view of the order book that a conventional candle chart lacks.

Its value is narrower for someone whose decisions rarely depend on intraday market structure. Even for an active trader, the first goal should be specific: identify one recurring question the display helps answer, then review whether it changed the decision before the outcome was known. More visible detail is useful only when it supports a clear process.

Official sources

• Bookmap platform
• Core features, heatmap, volume and replay
• Connectivity, packages and market-data requirements
• Bookmap market data
• Official pricing comparison