The problem with one-size AMMs for RWAs
Pool-based AMMs work when flow is dense and price discovery is on-chain. For many RWAs — real estate slices, invoices, regional commodities — liquidity is patchy, oracles are authoritative, and spread must reflect jurisdiction and counterparty risk. A passive LP curve is the wrong abstraction.
What meridian is
meridian is a Python framework for autonomous market-making agents: they observe oracles and inventory, adjust spreads, simulate scenarios in a backtesting engine, and can be extended with geography- and asset-class-specific policies.
- Oracle-driven reference pricing and sanity checks
- Adaptive spreads and inventory skew
- Backtesting against historical or synthetic paths
- Hooks for compliance and venue-specific rules
Research angle
We treat meridian as a living artefact: every strategy is falsifiable against data, and every deployment assumption is documented. Partners can fork policies without forking the safety rails.
Full reference documentation lives on docs.kcolbchain.com/meridian. Source and issues: GitHub.