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About this book
Crypto Liquidation Heatmaps explains what a liquidation heatmap can and cannot tell a trader. It separates realized liquidations from model-projected liquidation levels and from ordinary order-book liquidity, then examines how heatmap providers construct estimates from leverage assumptions, price paths and incomplete public information. Bright clusters are treated as conditional stress zones rather than guaranteed magnets or future price targets.
The book develops a full trading workflow around cluster distance, density, open interest, funding, volume and CVD, market structure, cascades, continuation and reversal hypotheses. It includes setup logic, no-trade conditions, stops, position sizing, case studies, a checklist, journaling and playbook construction. The aim is to use heatmaps as one evidence layer in a risk-controlled process while keeping model uncertainty visible.
What you will learn
- Distinguish realized liquidations, projected liquidation levels and order-book liquidity.
- Understand why different heatmap providers can show different clusters for the same market.
- Read cluster distance and density alongside open interest, funding, volume, CVD and market structure.
- Separate cascade, continuation, reversal and no-trade hypotheses instead of assuming every bright area is a magnet.
- Build risk-controlled setups with explicit invalidation, sizing, journaling and review.
Key topics
- Liquidation heatmaps
- Projected liquidation levels
- Realized liquidations
- Open interest
- Funding rates
- CVD and volume
- Liquidation cascades
- Market structure
- Risk management
- Backtesting and journaling
Who this book is for
For crypto futures and perpetual traders who use liquidation maps and want to integrate them with structure, positioning and risk rather than trade heatmap colors in isolation.
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