NYSE Launches 24/7 Tokenized Stock Trading: Which Crypto Businesses Will Directly Benefit or Suffer?

Odaily星球日报Published on 2026-01-20Last updated on 2026-01-20

Abstract

The New York Stock Exchange (NYSE) has announced plans to launch a tokenized securities trading and on-chain settlement platform supporting 24/7 trading of U.S. stocks and ETFs, fractional shares, stablecoin-based settlements, and instant settlement. This move is expected to have significant implications for the crypto industry. Potential beneficiaries include compliant U.S. stablecoins like USDC, which could be chosen for settlements, boosting their adoption. Leveraged stock-to-crypto trading platforms (e.g., Hyperliquid) may benefit from improved hedging opportunities due to aligned 24/7 trading hours. Perpetual swap and basis trading protocols (e.g., Ethena) could gain new, high-quality assets for arbitrage strategies. Selected infrastructure providers, such as blockchains and oracles, may also see growth, though traditional finance connections will be crucial. Conversely, existing crypto-native stock tokenization platforms face direct competition from the NYSE's superior regulatory backing and promise of equal dividends and governance rights. Spot stock-to-crypto trading platforms are particularly vulnerable and may need to pivot to offshore markets or derivatives to survive. Overall, while the NYSE's entry threatens some crypto-native businesses, it highlights the growing value of crypto's unique strengths: stablecoin infrastructure, leveraged trading, and on-chain financial engineering. Competition will intensify, but new opportunities will emerge.

Original | Odaily Planet Daily (@OdailyChina)

Author | Azuma (@azuma_eth)

Last night, a blockbuster news directly ignited the cryptocurrency market — NYSE officially announced the launch of a tokenized securities trading and on-chain settlement platform supporting 24/7 trading.

  • Odaily Note: For details, please refer to "NYSE Plans to Launch 24/7 Tokenized Stock Trading, 'Competitors' Are Stunned".

In short, NYSE's on-chain stock tokenization solution mainly includes the following three aspects:

  • This is a tokenized securities trading and on-chain settlement platform, planning to support 24/7 trading of U.S. stocks and ETF funds, fractional share trading, stablecoin-based fund settlement, instant settlement, and will combine NYSE's existing matching engine with a blockchain settlement system.
  • According to NYSE's plan, tokenized stocks will have the same dividends and governance rights as traditional securities.
  • NYSE's parent company ICE is also collaborating with banking giants like BNY Mellon and Citigroup to explore tokenized deposits and clearing infrastructure to support cross-time zone, round-the-clock fund and margin management.

Although many key design details of this platform are still unknown, based on the currently available information, we can preliminarily speculate on the market impact of this change — especially after NYSE, as a正规军 (regular army), enters the field, which crypto businesses will directly benefit or suffer.

Beneficial Business Speculations

Speculation 1: U.S. Compliant Stablecoins (e.g., USDC)

NYSE explicitly mentioned in the announcement that it would introduce "stablecoin-based fund settlement." This will directly introduce a top-tier new application scenario for stablecoins, promoting the adoption growth of stablecoins in the stock market — the world's largest and most mainstream asset trading market by volume — and stimulating the issuance and trading demand for stablecoins.

However, it is important to note that, as a compliant platform, NYSE will inevitably only choose U.S. compliant stablecoins under the GENIUS regulatory framework. Although it is temporarily uncertain which stablecoin NYSE will adopt, Circle, currently the leader in the U.S. compliant system, is most likely to be selected.

Speculation 2: Tokenized Stock Contract Trading Platforms (e.g., Hyperliquid)

This speculation is based on the premise that NYSE's tokenized stock trading platform will not support leveraged trading — at least it is not mentioned in the current announcement.

The demand for leverage in the market always exists. If NYSE does not provide leverage services, some with higher risk appetite will still choose to trade on tokenized stock contract platforms that support leverage.

Previously, a major problem faced by such platforms was that while they naturally support 24/7 trading, the stock market still follows traditional trading hours, resulting in mismatched hedging windows, which objectively limited market makers' entry and liquidity accumulation — once NYSE's tokenized stock trading platform supports 24/7 trading, this problem will be solved.

Speculation 3: Basis Trading Protocols (e.g., Ethena)

Tokenized stocks, as a new asset class, will expand the choice of underlying assets for basis trading protocols like Ethena.

The biggest difficulty such protocols faced before was — the market lacked top-tier assets with sufficient liquidity and solid consensus. For example, Ethena, having only BTC, ETH, and SOL, already felt like it was hitting a bottleneck. NYSE's entry is expected to introduce more top-tier assets into the cryptocurrency market. Coupled with derivative trading services based on these assets, it will unlock more arbitrage opportunities.

Speculation 4: Selected Infrastructure (e.g., Public Chains, Oracles, etc.)

Introducing stocks onto the chain in tokenized form for trading will inevitably rely on infrastructure such as public chains (underlying networks) and oracles (price feed services). But who gets a piece of this pie highly depends on whose services NYSE chooses.

In this regard, compared to the first-mover advantage in the native cryptocurrency market, resource capabilities面向 (oriented towards) the traditional financial world may be more important.

Adversely Affected Business Speculations

Speculation 1: Tokenized Stock Issuance Platforms

Most native tokenized stock issuance platforms in the current cryptocurrency industry use a mapping mechanism, which always carries certain security risks and profit distribution issues.

NYSE's entry will not only directly bring tokenized stocks with more solid backing but has also明确 (explicitly) stated that "tokenized stocks will have the same dividends and governance rights as traditional securities". The latter will directly deliver a降维打击 (dimensionality reduction strike) to some native tokenized stock issuance platforms in the industry.

Speculation 2: Tokenized Stock Spot Trading Platforms

There's not much to say about this; it's about directly competing with the正规军 (regular army) in the core scenario.

However, such tokenized stock spot trading platforms are not without ways to break through. Feasible solutions include but are not limited to: promoting offshore strategies, extending services to groups not covered by NYSE's tokenized stock platform; introducing contract trading services......

The Change Has Come, Opportunities Remain

Overall, NYSE's launch of a 24/7 tokenized stock trading and on-chain settlement platform will indeed directly impact some native cryptocurrency businesses, but this does not mean that the event constitutes a systemic negative for the cryptocurrency industry as a whole. The key is to distinguish between "what is being replaced" and "what remains."

From a business perspective, NYSE is clearly trying to bring the "tokenized stock trading"蛋糕 (cake) back inside the traditional financial system. This undoubtedly means competition is intensifying, and some narratives will be severely compressed. But at the same time, the capabilities that the cryptocurrency industry is truly good at and that are difficult for traditional finance to fully replicate in the short term will be further amplified — including the stablecoin system required for round-the-clock settlement, contract trading centered around high volatility and leverage demand, and on-chain financial engineering capabilities represented by basis trading and structured strategies.

The arrival of change is a既定事实 (fait accompli). Competition will indeed intensify, but opportunities also exist.

Related Questions

QWhat is the main announcement made by the New York Stock Exchange (NYSE) regarding trading?

AThe NYSE announced the launch of a tokenized securities trading and on-chain settlement platform that will enable 7*24 hour trading of U.S. stocks and ETFs, fractional share trading, stablecoin-based fund settlement, and instant settlement.

QWhich type of cryptocurrency is expected to benefit directly from the NYSE's new platform, and why?

AU.S. compliant stablecoins, such as USDC, are expected to benefit because the NYSE's platform will use stablecoins for fund settlement, introducing a major new use case and increasing demand for their issuance and trading.

QWhat is one potential negative impact on existing crypto-native businesses mentioned in the article?

AExisting crypto-native stock tokenization platforms are expected to face significant negative impact, as the NYSE's entry provides tokenized stocks with stronger backing and equivalent dividends and governance rights to traditional securities.

QHow could the new NYSE platform potentially help protocols like Ethena?

AThe platform could help protocols like Ethena by introducing more top-tier assets (tokenized stocks) into the crypto market, which would unlock more arbitrage opportunities when combined with derivative trading services on these assets.

QWhat is a suggested strategy for existing crypto stock spot trading platforms to survive the competition from the NYSE?

AA suggested strategy is to pursue an offshore approach, offering services to user groups not covered by the NYSE's platform, and to introduce derivative trading services like futures and options.

Related Reads

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit10h ago

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit10h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit12h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit12h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit12h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit12h ago

Trading

Spot
Futures
活动图片