Using Crypto Order Books to Estimate Liquidity, Slippage, and Imbalance
Summary
The guide explains how a crypto order book records resting bids and asks by price and size, and how those levels can help assess current liquidity. It describes measuring the spread, cumulative depth near the midpoint, estimated slippage by walking the book for a target order, bid-to-ask size imbalance, and a size-weighted midpoint. Suggested uses include comparing venues, estimating execution costs, flagging unusually large levels, and monitoring spreads.
The examples use snapshots queried through a market-data agent, followed by calculations on the returned data. The guide stresses that snapshots become stale quickly, visible walls may disappear or reflect spoofing, and imbalance is not established as a reliable predictor. It also cautions against broad, frequent polling because order-book access can be costly, and recommends comparing venues for meaningful orders. These are practical execution and liquidity checks, not evidence of a standalone predictive trading edge.
Key ideas
- An order book shows resting bid and ask quantities across price levels.
- Walking book levels estimates the average fill price and slippage for a target order.
- Depth near the midpoint gives a more current view of liquidity than ticker volume alone.
- Large displayed levels can vanish, and order imbalance may not predict price reliably.
- Order-book snapshots grow stale quickly and should be refreshed before execution.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.