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Tokenized Securities Get Institutional Boost via Lise–Kaiko Deal - Crypto Economy
The tokenized stock exchange Lise (Lightning Stock Exchange) and digital asset data provider Kaiko have formed a long-term strategic partnership. This alliance aims to provide institutional-grade market data for tokenized securities, starting with tokenized stocks on Lise’s fully regulated platform. Kaiko will aggregate, normalize, and distribute real-time and end-of-day pricing data for all tokenized instruments listed on Lise through its existing institutional distribution channels.
This move is expected to attract institutional investors to the tokenized securities market. Institutions such as custodians, fund managers, and asset valuators require independent, auditable, and transparent data sources to meet their strict regulatory and fiduciary requirements. Integrating tokenized stock prices directly into their traditional valuation workflows is a fundamental step toward scaling institutional participation and bridging the gap between traditional finance and emerging on-chain capital markets.
The collaboration between Lise and Kaiko brings together the infrastructure of a DLT-native exchange, operating under the EU DLT Pilot Regime, with the data expertise of a global leader. This initial agreement is just the first step, with future plans to explore new types of reference rates, indices tailored to tokenized equity markets, and advanced market surveillance tools. The foundations are being laid for a more liquid and globally connected tokenized securities ecosystem, with robust data standards equivalent to those of traditional securities.
**Source:**https://goo.su/cfuMM3
Disclaimer: Crypto Economy Flash News is compiled from official and public sources verified by our editorial team. Its purpose is to provide quick information on relevant events in the crypto and blockchain ecosystem. This information does not constitute financial advice or investment recommendations. We always recommend verifying the official channels of each project before making related decisions.