Want In On SpaceX? Kraken Unveils Early IPO Access Via xStocks

bitcoinistОпубліковано о 2026-06-06Востаннє оновлено о 2026-06-06

Анотація

Kraken now allows eligible customers in over 110 markets, excluding the US, Canada, Australia, and the UK, to register interest in the upcoming SpaceX IPO through its xStocks IPO Access program. Participation requires a verified standard Kraken mobile app account. Successful applicants will receive SPCXx, a tokenized claim backed 1:1 by SpaceX shares, instead of traditional brokerage positions. These tokenized shares can then be traded 24/7 on Kraken and other xStocks venues post-allocation. This initiative aims to broaden retail access to high-profile IPOs, typically dominated by large institutions, and is part of Kraken's larger push into tokenized equity markets. The highly anticipated SpaceX public offering is expected to begin trading on June 12.

Kraken has opened a path for eligible customers in more than 110 markets to register interest in SpaceX before the company starts public trading, and anyone who receives an allocation will get SPCXx, a tokenized claim backed 1:1 by the underlying shares.

The move puts one of the year’s most watched offerings inside a crypto app, but only for users outside the US, Canada, Australia and the UK.

How The Access Works

To take part, users need a verified Kraken account and the Kraken mobile app, not Kraken Pro or the desktop site. Kraken said the SpaceX program is being run through xStocks IPO Access, which lets eligible customers submit interest ahead of the listing, and any allocation will be issued as a token rather than a traditional brokerage position.

Source: Kraken

The company’s support pages say the feature is available in the EEA and most of the rest of the world, while US residents and clients in Canada, Australia and the UK are excluded. Kraken also said the tokenized shares can trade around the clock on Kraken and other participating xStocks venues after allocation.

The structure matters because it changes who can get near an IPO at all. In the usual process, access to pricing near the offering often goes to large institutions and a limited set of broker clients, while most retail buyers only show up once trading is already live.

BTCUSD now trading at $60,744. Chart: TradingView

A Wider Push Into Tokenized Markets

Kraken is pitching the offering as part of a broader push to bring tokenized equities into everyday use, and SpaceX is the first IPO it has placed behind that door.

The exchange’s blog says the company is opening the door to a large global audience, while its support material frames the program as a way to let eligible customers submit interest before the stock begins open-market trading.

That gives the product a different feel from a standard stock listing. Instead of waiting for a broker to open a book order or for a public market debut to settle, users would be dealing with a token tied to the share after allocation, with trading possible across the xStocks network at any hour.

SpaceX Becomes The Test Case

SpaceX is a fitting first name for the experiment because demand for the company has been intense and the public offering is being watched closely.

The company is expected to begin trading publicly on June 12 and that demand has already topped the number of shares available, based on Bloomberg’s reporting.

Featured image from Unsplash, chart from TradingView

Пов'язані питання

QWhat is the name of the program through which Kraken is offering eligible customers the chance to register interest in the SpaceX IPO?

AThe program is called xStocks IPO Access.

QHow will customers who receive an allocation of SpaceX shares via Kraken actually hold their investment?

AThey will receive SPCXx, a tokenized claim backed 1:1 by the underlying shares, rather than a traditional brokerage position.

QWhich major countries' residents are explicitly excluded from participating in Kraken's SpaceX IPO access program?

AResidents of the United States, Canada, Australia, and the United Kingdom are excluded.

QWhat is one key difference between accessing SpaceX via Kraken's tokenized offering and a standard stock listing, according to the article?

AInstead of waiting for a broker to open an order or for a public market debut, users deal with a token tied to the share, which can be traded around the clock on the xStocks network.

QWhen is SpaceX expected to begin trading publicly, according to the article?

ASpaceX is expected to begin trading publicly on June 12.

Пов'язані матеріали

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

The article titled "Gate Research Institute: Are Crypto Financial Products Sparking a 'Wall Street' Wave—Competition or Convergence?" explores the evolving relationship between the crypto ecosystem and traditional finance (TradFi). The piece begins by reflecting on Bitcoin's original 2009 vision of decentralization, disintermediation, and moving away from banks. It then contrasts this with the 2024 landscape, where key crypto assets like Bitcoin are increasingly held through Wall Street products like ETFs issued by giants like BlackRock. The article questions whether this signifies that TradFi is systematically taking over the rights to issue, price, custody, and distribute crypto financial assets. The core argument is that this is not a zero-sum takeover but rather a bidirectional convergence where each side addresses the other's weaknesses. Crypto offers 24/7 global markets, programmable settlement, and open access but lacks compliant channels, institutional-grade custody, deep fiat liquidity, and mainstream distribution. TradFi possesses these but is constrained by legacy systems, limited operating hours, and slow settlement. Two primary convergence paths are highlighted: * **Path A (CEX to TradFi):** Exemplified by Gate, which has progressed from offering tokenized stocks and CFDs to providing direct, real stock trading (US, Hong Kong, South Korea) within its platform, using USDT. * **Path B (TradFi to Crypto):** Exemplified by Robinhood, which has integrated crypto trading, acquired exchanges like Bitstamp, and is moving traditional assets like stocks onto the blockchain via tokenization and its own Layer 2. Both paths are ultimately competing to become the next-generation, unified financial account—a "super account" where users can seamlessly trade cryptocurrencies, stocks, ETFs, RWA (Real World Assets), and tokenized treasury products in one interface. The growth of RWA and tokenized treasuries (e.g., BlackRock's BUIDL) is presented as the asset-layer fusion, providing stable, yield-bearing assets on-chain and acting as a bridge between the two worlds. In conclusion, the "Wall Street-ization" of crypto is framed as a mutual transformation. Decentralized ideals persist in the protocol layer, while at the application layer, a more efficient, global, and accessible unified capital market is emerging from this convergence. The future competition lies not between crypto exchanges and stockbrokers, but between platforms vying to offer the most comprehensive asset coverage, liquidity, and user experience within a single account.

marsbit4 хв тому

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

marsbit4 хв тому

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

Claude has introduced a major new feature called "Record a Skill," available for Pro, Max, and Team users. This function, found in the Claude desktop app's CoWork menu, allows users to create reusable AI skills simply by recording their screen and providing voice narration while performing a task. Claude then automatically analyzes the recording and generates a functional Skill. A hands-on test confirmed the feature works seamlessly. Users start recording via the Skills manager, perform their workflow while verbally explaining the steps and logic, and avoid including sensitive information. After recording, Claude processes the content and creates the Skill, which can be saved and later invoked with a slash command (/). This eliminates the need for manual adjustments or writing complex instruction files. The innovation goes beyond mere efficiency. Previously, creating a Skill required writing a detailed SKILL.md file in Markdown—a significant barrier for non-technical users. "Record a Skill" bypasses this by directly capturing both actions and the implicit reasoning shared in the narration. This lowers the barrier to knowledge transfer and automation, addressing a core challenge in corporate knowledge management: the difficulty of getting experts to write and maintain documentation. However, the feature also highlights a shift in the nature of work. A case study from March 2026 showed a freelancer whose five-year client relationship was effectively replaced by a hand-coded Claude Skill automating their content workflow. With the even lower barrier of screen recording, the ability to distill personal expertise into automatable skills accelerates this trend. The "moat" for work is moving from simply knowing how to do a task to mastering tasks that are difficult or impossible to automate.

marsbit9 хв тому

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

marsbit9 хв тому

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

Feeding "Noise" to AI Can Improve Performance: A Method Enables Positive Transfer from Noise This work, Semi-Supervised Noise Adaptation (SSNA), introduces a Noise Adaptation Framework (NAF) that challenges traditional transfer learning. Instead of requiring a labeled source domain of real data (e.g., images, text), NAF uses randomly generated Gaussian noise as the source. For a target task with C classes, it constructs C noise clusters by sampling from Gaussian distributions. Although this synthetic noise contains no semantic meaning, NAF trains it to form a discriminative class structure in a shared representation space—clustering same-class noise and separating different classes. The key is aligning this learned structure from the noise domain to the real, sparsely labeled target domain. A small number of target labels are still essential to establish the correspondence between noise clusters and actual classes. The training objective combines: 1) supervised loss on the few labeled target samples, 2) classification loss for the noise to build its structure, and 3) a distribution alignment loss (using Negative Domain Similarity) to minimize the gap between the noise and target domains in the shared space. Experiments show significant gains in few-label settings. With just 4 labels per class, NAF with a ResNet-18 backbone improves accuracy over a standard supervised baseline (ERM) by +12.35% on CIFAR-10, +7.61% on CIFAR-100, +4.38% on DTD-47, and +2.74% on Caltech-101. It also benefits fine-grained datasets and scales to ImageNet-1K (with 100 labels/class) and text classification (AG News). NAF can be integrated into existing semi-supervised methods like FixMatch for further gains. Ablation studies confirm the transferred benefit comes from the discriminative structure of the noise, not randomness itself. Collapsing all noise into a single point causes negative transfer, while increasing separation between noise cluster centers improves performance. The amount of noise per class is less critical once a basic structure forms. In conclusion, this work demonstrates that for positive transfer, the semantic content of source data may not be necessary. What can be effectively transferred is the *organizational structure* of categories within a representation space. This offers a promising alternative for scenarios where real source data is unavailable due to privacy, copyright, or procurement constraints.

marsbit10 хв тому

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

marsbit10 хв тому

Торгівля

Спот
活动图片