Architecture of a Liquidation Sweep Trading Bot
An automated squeeze bot listens for three simultaneous market conditions:
1. **Proximity:** Current mark price is within 0.75% of an identified >$50M liquidation cluster.
2. **Toxicity Confirmation:** Toxic Order Flow (TOF) indicates aggressive taker flow accelerating in the direction of the pool.
3. **Post-Sweep Absorption:** Once the cluster volume is filled, the bot monitors for passive limit order replenishment and executes immediate mean-reversion counter-orders with hard stops.
1. **Proximity:** Current mark price is within 0.75% of an identified >$50M liquidation cluster.
2. **Toxicity Confirmation:** Toxic Order Flow (TOF) indicates aggressive taker flow accelerating in the direction of the pool.
3. **Post-Sweep Absorption:** Once the cluster volume is filled, the bot monitors for passive limit order replenishment and executes immediate mean-reversion counter-orders with hard stops.
Comprehensive Cluster Guide
Read Master Guide Advanced Crypto Trading Tools: Pine Scripting, APIs & Quant Workspaces
Complete guide to professional crypto trading tools. Learn how to build custom Pine Script indicators, stream WebSocket liquidation feeds, and automate squeeze bots.
Institutional Tooling
Connect With Kingfisher API
Stream liquidation signals directly into your algorithmic execution bot.
Connect With Kingfisher APIFrequently Asked Questions
Which programming language is best for liquidation trading bots?
Python is ideal for data analysis and backtesting; Golang or Rust is recommended for sub-50ms execution and low-latency WebSocket processing.