We fight IL so the LP goes as planned.
Maltea models impermanent loss at entry, then actively defends it — recentring the range and hedging directional drift to keep drawdown bounded. Target: ≥80% of IL mitigated versus a passive position.
Maltea is an autonomous liquidity layer for Solana LPs. Point a quantitative risk engine at any pool — Meteora DLMM, Orca or Raydium CLMM — get a verdict, a best range and a strategy in seconds, then let a non-custodial vault keep the position on-plan: recentring, compounding and defending against impermanent loss while you keep custody of your funds.
Paste any pool — get fees, IL, LVR and a 0–100 verdict.
A non-custodial vault opens the position at the best range for you.
A keeper recentres hourly and compounds fees so IL stays bounded.
Live state, fees and price history from Meteora, Orca and Raydium — normalized into one model.
Volatility regime, fee density, LVR and a 4,000-path Monte Carlo produce a range, exposure and a 0–100 verdict.
The keeper recentres the range and hedges directional drift so impermanent loss stays bounded — target ≥80% mitigated.
Fees compound, the position tracks the model, and you can see exactly why at every step.
Maltea models impermanent loss at entry, then actively defends it — recentring the range and hedging directional drift to keep drawdown bounded. Target: ≥80% of IL mitigated versus a passive position.
Scans width after width and picks the one with the best net-vs-hold APR while staying in range — with capital efficiency and concentration for each.
GBM price paths give P(beat hold), P(profit) and a 5% Value-at-Risk — fees and IL simulated together, not bolted on.
Every verdict weighs fee income against loss-versus-rebalancing — the real cost of LPing.
Meteora, Orca and Raydium normalized into a single model — paste an address, done.
Deposit into a vault; the keeper recentres and hedges. Your keys, your funds, on-chain.
Execution roadmap
The current product helps users decide where and how to LP. The next layer is wallet connection, one-click CLMM position creation, position tracking, manual rebalance, and finally vault-based recentering with keeper automation.