Verifying the Effectiveness of Money Laundering Through Perpetual DEX
summary
Built a real-time on‑chain analysis pipeline that ingests Perp DEX liquidations via websocket + REST + S3 and flags pairs of opposite positions by time and size, marking cases where a losing wallet shows > -50% loss threshold and position size exceeds $100k minimum position and the counterparty later withdraws to a centralized exchange. Dashboard visualizes matched counterparty chains, test injections produce detectable alerts, some matches turn out to be high-frequency trading not laundering, and extension to cross‑exchange correlation uses open‑interest shifts.
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chapters (9)
- 0:00Project background
- 2:12Money laundering via perpetual DEX
- 3:39Perpetual DEX laundering
- 6:07Laundering assumptions
- 8:00Detection dashboard design
- 11:34Dashboard testing
- 13:41Limitations and future work
- 15:26Cross-exchange laundering
- 16:32Conclusion
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