LFDT - Research Composable Token Primitives for Post-Trade Clearing, Settlement, Compliance on DLT

About the Organization

<p>Global post-trade settlement infrastructure remains fragmented across incompatible ledger implementations, jurisdictional compliance regimes, and asset-class-specific token schemas — creating systemic friction at the intersection of programmable finance and institutional market microstructure. This project conducts an open, community-driven research inquiry into the design space for a protocol-agnostic token framework within the LF Decentralized Trust ecosystem, exploring how composable token primitives may serve as a convergence layer across heterogeneous post-trade settlement rails. All research outputs, findings, and prototypes will be contributed openly to the LF Decentralized Trust community under applicable open-source licenses, with no implied endorsement or proprietary claim by any contributing organization.</p><h3>Learning Objectives</h3><p>The mentee will survey existing tokenization frameworks, identify gaps in interoperability and compliance metadata propagation, and develop exploratory prototypes to inform community discussion around open standards for post-trade infrastructure within the LF Decentralized Trust ecosystem.</p><h3>Expected Outcome and Deliverables</h3><ul><li>A Research Report documenting a comparative survey of existing tokenization frameworks, proposed schema considerations, and community recommendations for token base types, behaviors, and metadata — contributed as an open draft for community review.</li><li>An Exploratory Prototype — a series of illustrative smart contract examples (Solidity or Chaincode) demonstrating potential implementation patterns across representative use cases, intended for research and educational purposes only.</li><li>A Community Whitepaper presenting findings, open questions, and suggested directions for post-trade token framework adoption — offered as a contribution to broader community discourse with no prescriptive or regulatory guidance implied.</li></ul><p><br></p><p>Lean more at <a href="https://github.com/LF-Decentralized-Trust-Mentorships/mentorship-program/issues/88" rel="noopener noreferrer" target="_blank">https://github.com/LF-Decentralized-Trust-Mentorships/mentorship-program/issues/88</a></p>