Grayscale Files S-1 With SEC to Convert Near Trust Into Spot NEAR ETF

TheNewsCryptoPublished on 2026-01-21Last updated on 2026-01-21

Abstract

Grayscale Investments has filed a Form S-1 with the SEC to convert its Grayscale Near Trust into a spot NEAR ETF, named Grayscale Near Trust ETF (ticker: GSNR). Filed on January 20, 2026, this marks the first major step toward a NEAR Protocol ETF in the U.S. The proposed ETF will use Coinbase as prime broker and custodian, with BNY Mellon and Continental Stock Transfer as transfer agent and administrator. It also includes provisions for staking NEAR tokens under certain conditions. Following the announcement, NEAR’s price increased by 3% to $1.54. Analysts view the move as part of a broader trend of traditional finance seeking regulated altcoin exposure. SEC approval is pending and may take several months to over a year, subject to regulatory review.

Grayscale Investments has made a substantial step forward in expanding institutional investor accessibility to alternative blockchain assets with its submission of a Form S-1 registration statement with the U.S. Securities and Exchange Commission to convert its Grayscale Near Trust into a spot exchange-traded fund (ETF).

Filed on January 20, 2026, this registration statement represents the first major move for a NEAR Protocol ETF in the U.S. market, given prior approvals for Bitcoin Spot ETFs, as well as Bitcoin Futures ETFs. As approved, this new product will have a new name, namely Grayscale Near Trust ETF, trading under the ticker GSNR, shifting from its existing market listing on Over-the-Counter (OTC) markets.

In the S-1 filing, some of the major structural features for the ETF are described. For example, the prime broker for the ETF would be Coinbase Inc., and its custodian would be Coinbase Custody Trust Company LLC. Additionally, transfer agents and administrators for the trust would be The Bank of New York Mellon and Continental Stock Transfer & Trust Company, respectively.

Grayscale’s submission also contained language regarding the entering of agreements with staking partners if certain staking conditions have been met regarding staking of the NEAR held in the ETF, a characteristic of other proposed crypto asset ETFs on the market.

Market Response and Overall Industry Implications

Following the filing, the NEAR token’s price bounced back by over 3%, trading at $1.54, registering a 22% volume within the last 24 hours. This is after a moderate rise in the NEAR—future open interest. This pullback can be attributed to the losses resulting from the crypto market.

This S-1 filing can also be seen in the context of a larger trend among traditional finance institutions seeking altcoin exposure through regulated financial instruments, according to analysts. Grayscale previously filed trust filings for various altcoin-related financial instruments, including BNB and Hyperliquid ETFs, which indicated ongoing interest in a diversified cryptocurrency ETF beyond Bitcoin and Ethereum.

Though the SEC has not approved any NEAR ETFs, this is an encouraging step in the regulatory environment that could open the doors to more instruments themed around layer-1 blockchains. As per experts in the trade, “the registration process may take several months to over a year, and this is subject to scrutiny and review in connection with issues involving market manipulation measures, liquidity, and mechanisms to share”.

S-1 filing by Grayscale to convert Near Trust into a spot ETF reflects the increased institutional desire to add altcoins, such as NEAR Protocol, to the range of available crypto investments. Slightly positive market support in terms of price movement and traded volumes indicates acceptance of the S-1 filing. During the review period by the SEC, the approval of the spot ETF related to NEAR may pave the way for the launch of altcoin-linked products to be traded in the market.

Highlighted Crypto News:

‌Noble to Migrate From Cosmos SDK to EVM Layer-1, Mainnet Set for March 2026

TagsGrayscaleNEAR ETFSEC

Related Questions

QWhat is the purpose of Grayscale's S-1 filing with the SEC regarding the Near Trust?

AGrayscale filed the S-1 registration statement to convert its Grayscale Near Trust into a spot exchange-traded fund (ETF) called the Grayscale Near Trust ETF, which would trade under the ticker GSNR.

QWhat was the market response to Grayscale's S-1 filing for the NEAR ETF?

AFollowing the filing, the NEAR token's price increased by over 3% to trade at $1.54, with a 22% increase in trading volume within the last 24 hours.

QWhich companies are named as key service providers in the S-1 filing for the proposed ETF?

ACoinbase Inc. is named as the prime broker, Coinbase Custody Trust Company LLC as the custodian, with The Bank of New York Mellon and Continental Stock Transfer & Trust Company serving as the transfer agent and administrator, respectively.

QWhat does the S-1 filing indicate about the potential for staking the NEAR tokens held by the ETF?

AThe filing contained language regarding entering into agreements with staking partners to stake the NEAR tokens held in the ETF if certain staking conditions are met.

QHow long might the SEC review process take for this S-1 filing according to experts?

AExperts stated that the registration process may take several months to over a year and is subject to scrutiny and review concerning issues like market manipulation measures, liquidity, and sharing mechanisms.

Related Reads

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbit4m ago

Is AI Creating a New Class of 'Information Poor'?

marsbit4m ago

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbit57m ago

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbit57m ago

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit1h ago

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit1h ago

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The Nasdaq Composite plummeted 4.18% on June 5, its biggest single-day drop since April 2025, triggering widespread debate over whether the U.S. stock market has peaked. The sell-off was sparked by a stronger-than-expected U.S. non-farm payrolls report, which fueled fears of economic overheating and pushed back market expectations for Federal Reserve rate cuts, leading to a sharp rise in Treasury yields. The AI sector, the primary driver of the recent bull market, suffered severe losses, with the Philadelphia Semiconductor Index crashing over 10%. Stocks like Nvidia, Broadcom, and Micron led the decline. Concerns are mounting about the sustainability of AI capital expenditures and high valuations, with signs of order cuts for next-generation chips emerging. Analyses point to several warning signs: historically high market valuations (e.g., elevated Shiller CAPE ratio, Buffett Indicator), extreme bullish sentiment indicators, and significant insider selling. The sell-off also caused a key technical breakdown, with the S&P 500 breaking below its short-term moving average and testing its 200-day moving average. Wall Street is divided on the outlook. Bears warn this could be the start of a bubble deflation or a "stagflation" scenario, while bulls view it as a healthy, overdue correction within a bull market driven by solid corporate earnings growth. A more moderate view suggests the easy liquidity-driven rally is over, and markets are entering a phase of fundamental stock-picking with potential for consolidation. The immediate future hinges on key upcoming events: the May CPI report and the mid-June FOMC meeting. Their outcomes will be critical in determining whether this is a temporary pullback or the beginning of a more significant trend reversal. The consensus is that the era of one-directional market gains may be ending, requiring increased investor caution.

Odaily星球日报1h ago

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

Odaily星球日报1h ago

The First Case on AI Agents: What Was Adjudicated?

"The First 'Agent' Ruling: What Was Decided?" On April 30, the Guangzhou Internet Court issued a ruling—China's first behavior preservation order in the intelligent agent (AI agent) field. The defendant, an open-source AI agent software, was ordered to stop downloads, cease actions that bypassed a platform's technical protection measures, and delete related tutorials and data. The core issue: the software used the operating system's "accessibility service" permissions to automate user interactions within other apps without those platforms' authorization. This mirrors a recent US case where Amazon sued Perplexity for similar reasons—bypassing Amazon's API to directly scrape and interact with its pages—and won a preliminary injunction. Both rulings establish a crucial legal boundary for the AI agent era: agents cannot operate unchecked. The article argues the fundamental legal principle emerging is one of **dual authorization**. An AI agent requires both **user consent** AND **platform consent** to operate legitimately within that platform's ecosystem. Bypassing platform rules through system-level permissions, even with user permission, undermines platform responsibilities for content moderation, data security, and user privacy, creating liability issues. The piece uses the evolution of "Doubao Phone" (an AI-integrated smartphone) as a case study. Its initial, aggressive version that bypassed platform controls faced roadblocks. Its upcoming 2.0 version is reportedly pivoting to negotiate API access and authorization deals with major platforms (like Alibaba's ecosystem), seen as a strategic adaptation to the new regulatory reality. A global trend is identified: the era of unregulated, "wild west" growth for AI agents is ending, replaced by a **compliance race**. This raises barriers to entry, as securing platform authorizations becomes a new cost. Open-source status is also not a legal shield if the code facilitates bypassing technical protections. In conclusion, these first rulings target not the largest, but the most **aggressive and representative** cases. By setting precedent with them, regulators are efficiently steering the entire industry towards a new, more regulated operating paradigm defined by dual authorization and platform cooperation.

marsbit1h ago

The First Case on AI Agents: What Was Adjudicated?

marsbit1h ago

Trading

Spot
Futures
活动图片