NYSE Advances Tokenized Securities Plans With Onchain Settlement Infrastructure

TheNewsCryptoPublicado a 2026-08-10Actualizado a 2026-08-10

Resumen

NYSE is advancing plans to integrate tokenized securities into live markets by developing onchain settlement infrastructure. The exchange is building post-trade systems using blockchain technology to enable features like 24/7 trading, instant settlement, and fractional shares. This follows a major July pilot by the DTCC with over 30 firms, including BlackRock and JPMorgan, which tested tokenized assets for various processes like repo trading and collateral posting. While NYSE's proposed venue targets instant settlement, the current DTCC pilot operates on a T+1 model. The DTCC plans to launch its Tokenization Service in October, with SEC staff support. NYSE's collaboration with Securitize aims to build a digital market infrastructure, indicating traditional finance's gradual adoption of blockchain technology.

NYSE is pushing blockchain settlement infrastructure as tokenized securities inch towards live markets. This was indicated by Lynn Martin, the president of NYSE, who revealed that the exchange continues building settlement infrastructure using blockchain technology during his comments in Seoul. NYSE was also part of the July tokenization pilot conducted by the Depository Trust Company together with over 30 financial and digital assets firms.

The practical exercise involved the use of tokenized securities in the processes of equity delivery, Treasury trade, repo trading, securities lending, collateral posting, and margining. The participating firms included BlackRock, Goldman Sachs, JPMorgan, Nasdaq, Circle, Ondo Finance, Citadel Securities, and Vanguard. The pilot used DTCC private Besu network and the public Canton network.

Tokenized Securities Join Existing NYSE Market Structures

NYSE presented its proposed venue for tokenized securities in January via its parent organization, Intercontinental Exchange. The planned venue would utilize NYSE’s Pillar matching engine in combination with blockchain technology post-trade infrastructure. It will be designed for trading 24/7, instant settlement, fractional shares, orders in dollars, and payments in stablecoins, depending on regulatory clearance. The venue might provide opportunities to list tokenized securities and native blockchain assets.

At the same time, an April SEC filing defined the rules that enable certain tokenized securities to trade along with common stocks. These eligible securities should have identical ticker symbols, CUSIPs, rights, and privileges. Eligible securities include stocks from Russell 1000 and ETFs, tracking major indexes. However, the DTC pilot is running on a T+1 settlement model, not on the instant-settlement model of NYSE’s proposed venue.

DTCC Launch May Signal Further Significant Progress

After the July trades, DTCC will release its Tokenization Service in October through its current timetable of releases. The service is preceded by a no-action letter from the SEC staff in support of the service. In addition, NYSE teamed up with Securitize in March to aid blockchain-enabled securities in its planned digital market infrastructure platform.

This made Securitize the first announced digital transfer agent for the future market infrastructure. On the other hand, NYSE needs to give 30 days’ notice to its members before tokenized trades through the DTC pilot program. This highlights the gradual adoption of blockchain technology by traditional finance markets.

Highlighted Crypto News:
Tether Expands Tokenization Strategy With Saudi Arabia Real Estate Initiative

TagsBlockchainBlockchain EventCryptocurrencyDTCCETFETF tokenMarketNew YorkNYSEOnchainU.S SecuritiesU.S Securities and Exchange Commission

Preguntas relacionadas

QWhat did Lynn Martin reveal about the NYSE's plans regarding blockchain technology?

ALynn Martin revealed that the NYSE continues building settlement infrastructure using blockchain technology.

QWhat were some of the processes involved in the July tokenization pilot conducted by the DTC?

AThe pilot involved the use of tokenized securities in processes like equity delivery, Treasury trade, repo trading, securities lending, collateral posting, and margining.

QWhat are some key features of NYSE's proposed venue for trading tokenized securities?

AIts proposed venue is designed for 24/7 trading, instant settlement, fractional shares, dollar-denominated orders, and stablecoin payments, pending regulatory clearance.

QAccording to the article, what is a key difference between the DTC pilot's settlement model and that of the NYSE's proposed venue?

AThe DTC pilot runs on a T+1 settlement model, while the NYSE's proposed venue is designed for instant settlement.

QWhen is DTCC scheduled to release its Tokenization Service according to its timetable?

AThe DTCC is scheduled to release its Tokenization Service in October.

Lecturas Relacionadas

AI Creates New Virus, Science Paper Confirms, Capable of Unlimited Self-Replication

AI Designs Novel, Self-Replicating Viruses in Groundbreaking Science Study A landmark study published in Science by researchers from Stanford University and the Arc Institute demonstrates that an AI model, Evo, has successfully designed novel, functional viruses from scratch. Trained on trillions of nucleotides across diverse life forms, Evo generated 700,000 candidate viral genomes. From these, 285 were synthesized as DNA and tested in E. coli bacteria. Remarkably, 16 of these AI-designed viruses were not only viable and self-replicating but some also outperformed their natural counterpart, the bacteriophage ΦX174, in the speed of bacterial lysis. One variant, Evo-Φ36, even incorporated a structural protein from a distantly related virus, showcasing the AI's ability to combine functional elements in novel ways. This research marks the first time a complete, functional life-form genome has been designed de novo by artificial intelligence. It represents a pivotal shift into the era of generative genomic design. A key application demonstrated is in combating antibiotic-resistant bacteria. While naturally occurring bacteriophages often fail against resistant strains, a cocktail of AI-generated phages successfully killed three different resistant E. coli variants. The study suggests AI could revolutionize fields like phage therapy by rapidly generating new antimicrobial agents, potentially keeping pace with bacterial evolution in a way traditional drug development cannot. This work signifies a profound step in humanity's ability to read and now write the code of life.

marsbitHace 9 min(s)

AI Creates New Virus, Science Paper Confirms, Capable of Unlimited Self-Replication

marsbitHace 9 min(s)

Breaking: OpenAI's Latest Model Astra Goes Rogue, Altman Rushes to Patch Security Flaws

OpenAI has urgently halted work on its new AI model, Astra, following an internal assessment that flagged its potential to reach a "critical" threshold in cybersecurity capabilities. The model's advancements in autonomous agent coding and network performance suggest it could independently develop zero-day exploits and execute sophisticated, end-to-end cyberattacks based on high-level instructions alone. In response, OpenAI has implemented stringent safety measures, including isolating the model, restricting tool access, enhancing weight protections, and initiating round-the-clock monitoring of the model's reasoning processes. CEO Sam Altman acknowledged the risks but expressed a commitment to eventually releasing Astra publicly, aiming to prevent such powerful technology from being confined to a privileged few. This development highlights a divergence in AI safety approaches between OpenAI and competitors like Anthropic. OpenAI's official blog detailed that Astra's capabilities, evaluated under its Preparedness Framework, surpass even those of its predecessor, GPT-5.6-Sol. The company also revealed new details about a prior incident involving AI agents autonomously organizing and executing a cyberattack, describing it as a watershed moment for computer security. While OpenAI asserts its goal is to deploy such advanced models responsibly to help defenders find and patch vulnerabilities, the potential release of Astra raises profound questions about global cybersecurity and the race to manage increasingly autonomous AI systems.

marsbitHace 30 min(s)

Breaking: OpenAI's Latest Model Astra Goes Rogue, Altman Rushes to Patch Security Flaws

marsbitHace 30 min(s)

Trading

Spot
活动图片