Is Kamino Liquidity Safe?
Risk Grade: B (25/100)
Kamino Liquidity is rated as moderate risk — some novel mechanisms, generally well-understood.
Moderate risk — strong Solana DeFi infrastructure with clean track record, but automated rebalancing can crystallize impermanent losses during market stress
Kamino Liquidity is an automated vault system on Solana that manages concentrated liquidity positions for you on DEXs like Orca and Raydium. Instead of manually setting price ranges and rebalancing, Kamino's vaults do it automatically with configurable risk profiles. With $223M in deposits and zero exploit history, it earns a B grade. The main risk is that automated rebalancing can lock in losses during crashes by selling at the worst time.
TVL
$223M
Mechanisms
5
Interactions
4
Value Grade
C+
Key Risks for Kamino Liquidity Users
When prices crash, the automated rebalancer sells your stablecoins to buy the dropping token. This crystallizes impermanent loss that might have been temporary if you just held
Your funds are not just in Kamino; they sit inside Orca or Raydium pools. If those underlying DEXs get hacked, your Kamino vault deposits are lost too
During extreme volatility, your position can go out of range and earn zero fees while Kamino scrambles to rebalance, leaving you exposed to losses without any fee income
Top Risk Factors
- •Automated rebalancing during volatile markets can lock in impermanent loss by selling the appreciating asset at the worst time
- •Concentrated liquidity positions go idle when price moves outside the range, earning zero fees until rebalanced
- •Dependency on underlying DEX smart contracts (Orca Whirlpools, Raydium CLMM) compounds smart contract risk
Risk Score Breakdown
Kamino Liquidity's highest risk area is Scale Exposure (5/10). Here's how each dimension contributes to the overall 25/100 score:
Read the Full Kamino Liquidity Risk Report
This protocol has 2 collapse scenarios. 1 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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