MLFi Vaults
MLFi Vaults are intelligent, agent-managed liquidity provisioning vaults designed for CLMMs (Concentrated Liquidity Market Makers). Powered by OpenGradient’s predictive models, these vaults dynamically manage LP ranges and apply hedging strategies to reduce downside risk—maximizing fee generation while minimizing exposure to impermanent loss.
What They Enable
MLFi Vaults provide users with access to high-yield liquidity provisioning strategies without manual management or risk monitoring.
The DexterAI agent rebalances the vault’s CLMM position dynamically, based on real-time volatility and price trend forecasts.
To protect against directional risk, the vault opens a hedging position that makes the overall strategy delta-neutral—ensuring risk-adjusted yield even during market swings.
The system continuously adjusts exposure based on predictive signals, optimizing for both capital efficiency and fee capture.
This enables LPs to earn consistent returns while maintaining a controlled risk profile, even in volatile market conditions.
Technical Design
Volatility-Aware Positioning OpenGradient models forecast short-term price and volatility shifts, which the agent uses to determine when and how to reposition the vault’s liquidity range.
Agent-Guided Rebalancing The DexterAI agent monitors real-time LP metrics such as fee decay, range drift, and volatility breakout. When thresholds are triggered, the vault rebalances to maintain optimal range alignment.
Delta-Neutral Hedging Layer When the model predicts strong directional movement, the vault opens a hedge (e.g., using perpetuals or lending markets) to offset its LP exposure—minimizing IL and stabilizing returns.
Execution Throttling Rebalancing and hedging are triggered only when statistically justified. This reduces unnecessary gas consumption and preserves net yield.
Summary
MLFi Vaults automate the two hardest parts of LPing: optimal range placement and hedging against price movement. With real-time ML predictions and agentic rebalancing, users get fee-optimized exposure and minimized downside—all without active management.
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