Case Studies

Explore real-world scenarios where Alloc8’s agentic intelligence, policy-based execution has optimized liquidity performance. From DAOs managing millions in protocol-owned liquidity to retail users seeking hands-off yield, these case studies show measurable results and practical workflows.

Example Case Studies

1. DAO Treasury - Camelot V3 Liquidity Optimization

Challenge: DAO-held liquidity was frequently out of range, losing fee opportunities. Solution: Meow Agent dynamically adjusted tick ranges based on volatility bands and TWAP. Result: 63% higher fee capture vs. static ranges, with fewer than 5 rebalances per week, minimizing gas costs.

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2. Retail LP - Passive Uniswap V3 Positioning

Challenge: Small LP user lacked time and tools to monitor ranges and rebalance manually. Solution: Used a Meow Agent vault to automatically deploy capital into optimal ranges. Result: Maintained >95% of capital in range over 30 days, improving returns with minimal intervention.

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3. Automated LP Bot - Arbitrage-Resistant Liquidity

Challenge: Frequent price swings caused inefficient range positions during high volatility. Solution: Integrated Meow Agent with volatility-aware policies to pause rebalances in unstable periods. Result: Reduced impermanent loss exposure by ~18% compared to continuous rebalancing strategies.

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These examples are just the beginning - the same principles apply to any AMM or liquidity strategy.