Question 1

What is a concentrated liquidity range optimizer?

Accepted Answer

A concentrated liquidity range optimizer tells LPs which price range to choose when supplying liquidity on protocols like Uniswap V3, Meteora DLMM, Orca Whirlpools, or PancakeSwap V3. RangeScout backtests 180 days of on-chain data, runs Monte Carlo simulations on empirical returns, and compares multiple symmetric and asymmetric ranges by fee APY, impermanent loss, Sharpe ratio, and rebalancing cost across 9 chains.

Question 2

Which DEXes and chains does RangeScout support?

Accepted Answer

RangeScout supports Meteora DLMM, Orca Whirlpools, Uniswap v3 and other concentrated-liquidity DEXes across Solana, Ethereum, Arbitrum, Base, Optimism, Polygon, BSC, Avalanche and Sui.

Question 3

How does RangeScout estimate impermanent loss?

Accepted Answer

RangeScout applies the concentrated-liquidity IL formula on the historical price path, adds EWMA and jump-adjusted volatility, and surfaces average IL, worst-case IL, fee-offset breakeven time, and recovery days so you can see if fees compensate for the risk.

Question 4

Is there a free plan?

Accepted Answer

Yes. The free tier includes 50 credits per month — enough to run multiple full backtest + AI strategy analyses. No credit card required.

RangeScout — Concentrated Liquidity Range Optimizer

Supported Protocols

How the Quant Engine Works