en
Back to the list

CME, Google Cloud pilot 24/7 tokenized trading for capital markets

source-logo  crypto.news 25 March 2025 13:27, UTC

CME Group, a leading derivatives marketplace, is collaborating with Google Cloud to pilot asset tokenization and enhance capital market efficiency.

The two groups completed initial integration and testing of Google Cloud’s Universal Ledger, a distributed ledger designed for traditional financial institutions.

GCUL is a programmable, distributed ledger tailored for financial institutions. It simplifies account and asset management and facilitates secure transfers on a private, permissioned network.

You might also like: KULR boosts Bitcoin holdings to 668 BTC, reports 181.1% yield

A shift towards tokenization

Tokenization involves converting rights to an asset into a digital token on a blockchain or distributed ledger. This process can apply to various assets, including stocks, bonds, or commodities, enabling more efficient and secure transactions.

A distributed ledger is a digital system for recording transactions where each participant holds a synchronized copy, enhancing transparency and security.

CME Group Will Introduce Tokenization Technology to Enhance Capital Market Efficiency Using Google Cloud's New Universal Ledger https://t.co/TuHxQKSjc5

— CME Group (@CMEGroup) March 25, 2025

This technology aims to streamline processes like collateral management, margin calculations, settlements, and fee payments, supporting the financial industry’s shift toward continuous, 24/7 trading.

Later this year, CME Group and Google Cloud plan to conduct direct testing with market participants, with the goal of launching new services in 2026.

This initiative reflects a broader trend of traditional financial institutions exploring blockchain technology to improve efficiency and reduce costs.

You might also like: Exclusive: Blocksquare’s new interface boosts RWA experience
crypto.news
Cryptonews.net website uses cookie files to personalize services and improve the user experience of the website.
If you do not want your personal data to be processed, please limit its use in your browser.