Liquidation Analytics

Deep statistical analysis of liquidation data with anomaly detection and multi-timeframe breakdowns.

What is Liquidation Analytics?

Liquidation Analytics goes beyond the raw feed of Live Liquidations by applying statistical analysis to liquidation data. It provides multi-window time-based statistics across 1-hour, 4-hour, 12-hour, and 24-hour periods, along with Z-score anomaly detection that classifies current liquidation activity as Extreme, High, Normal, or Low relative to historical baselines.

While Live Liquidations shows you what is happening right now, Liquidation Analytics tells you whether what is happening is unusual. A $10 million liquidation event might seem large in isolation, but Liquidation Analytics tells you if it is statistically significant compared to recent history. This context is essential for distinguishing between routine market activity and genuine liquidation events that could drive major price moves.

The tool also breaks down liquidation patterns by top symbols, exchange distribution, and hourly trends, helping you understand not just how much liquidation is occurring, but where and when.

Key Concepts

• Z-Score Anomaly Detection: Measures how many standard deviations current liquidation volume deviates from the mean — Extreme, High, Normal, or Low classifications
• Multi-Window Analysis: Simultaneous views across 1h, 4h, 12h, and 24h windows for different trading horizons
• Top Symbols: Ranked list of which coins are experiencing the most liquidation activity
• Rotation Tracking: Identifies when liquidation pressure shifts from one coin or sector to another

How to Use Liquidation Analytics

1. Open Liquidation Analytics from the sidebar under Liquidation Tools
2. Review the anomaly classification at the top — this immediately tells you if current conditions are unusual
3. Compare liquidation volumes across the four time windows to see if activity is accelerating or decelerating
4. Check the Top Symbols panel to identify where liquidation pressure is concentrated
5. Review the hourly breakdown and exchange pattern analysis for timing and venue insights

What to Look For

• Bullish signals: Z-score dropping from Extreme back to Normal after a long liquidation cascade suggests the flush may be exhausting. Declining long liquidation volume in the shorter time windows while longer windows still show high readings indicates the worst may be over.
• Bearish signals: Z-score escalating from Normal to High to Extreme on long liquidations signals an accelerating cascade. If liquidation pressure is broadening from one coin to many (rotation tracking), the selling pressure is spreading.
• Key patterns: Watch for divergences between timeframes. If the 1h window shows declining liquidations but the 4h still shows Extreme, the pause may be temporary. Liquidation volume that stays elevated for hours without price recovery indicates sustained selling pressure.
• Combine with: Live Liquidations for the real-time feed, Liq. Velocity for rate-of-change analysis, Visual Screener for market-wide positioning context

Supported Exchanges

Tips

• The Z-score classification is your most important signal — trade conditions differently when the market is in Extreme versus Normal liquidation regimes
• Pay attention to which exchanges show the most liquidation activity, as different exchanges have different user bases and leverage norms
• Liquidation Analytics is most valuable during volatile periods — in calm markets, the data will mostly show Normal readings and offer fewer insights