Understand your range before you deploy.
RangeScout compares concentrated liquidity ranges using pool data, historical price tests and simulated scenarios. The scanner finds pools to investigate; the analyser estimates fees, divergence loss and rebalancing costs.
Compare ranges using the available evidence
Up to 180 days of available price history. The actual dates, observations and data limits belong to each report.
Historical strategy results include modelled fees, divergence and rebalancing costs. Simulated scenarios and AI interpretation are separate outputs.
Know the model boundaries
Market-stability checks compare parts of the price history. Candidate ranges are not re-selected and tested on untouched future data, so this is not out-of-sample strategy validation.
Monte Carlo scenarios resample historical returns. They depend on historical data and fee assumptions and are not forecasts of achieved returns.
Read the methodology · Reproduce a profitable and a losing example
Try a saved analysis
Public samples require no account. To analyse your own pool: A free account includes the LP calculators, the sample analysis and your saved library. Scans and analyses need a plan.