Autonomous Liquidity
Agent

Developing a self-optimizing liquidity provision framework that operates at the intersection of high-frequency decentralized finance (DeFi) and predictive neural networks. The goal was to eliminate impermanent loss through preemptive capital relocation.

Traditional AMM models suffer from static range constraints. This project introduced a dynamic Gaussian-weighted distribution model that adjusts liquidity density based on real-time volatility signals from off-chain oracles.