Bitwise files for a Uniswap ETF, but UNI’s price tells a different story

ambcryptoPublished on 2026-01-29Last updated on 2026-01-29

Abstract

Bitwise has filed to register a Bitwise Uniswap ETF trust in Delaware, signaling early-stage preparation for a potential Uniswap-based ETF. This move aims to make Uniswap more accessible to traditional investors, though no formal SEC review or timeline exists yet. The UNI token reacted positively to the news, rising 3.83% to $4.82, despite broader mixed signals in the ETF market. Ethereum saw significant outflows, while XRP and Solana recorded inflows. However, UNI has underperformed compared to other altcoins recently, even after major developments like token burns and governance proposals failed to sustain momentum. The filing appears to be a strategic positioning effort rather than an immediate step toward approval.

While markets focused on Bitcoin’s price swings, Bitwise was quietly working on a new crypto ETF idea tied to Uniswap [UNI].

By registering a Bitwise Uniswap ETF trust in Delaware, the firm is preparing for a possible ETF linked to the protocol.

For traditional investors, this makes Uniswap easier to understand and evaluate.

Lingering concerns around Uniswap ETF

While the filing drew attention in the DeFi market, analysts are urging caution.

In many cases, Delaware trust registrations serve as early legal setups, allowing firms like Bitwise to move quickly if regulations change.

However, there is currently no active SEC review for a Uniswap ETF, nor is there a confirmed timeline for a formal filing.

This suggests the move is more about preparation than immediate action.

In simple terms, Bitwise is positioning itself early, even though the regulatory process has not yet begun.

Market reaction

Now, even though the filing is only an early step, the UNI token reacted positively. Around the time of the filing, Uniswap was trading at $4.82, up 3.83% over 24 hours.

This price move stands out because the broader ETF market is sending mixed signals. While UNI benefited from the Bitwise filing, other assets saw very different flows.

Ethereum [ETH] recorded large outflows totaling $63.53 million.

But Ripple [XRP] led inflows with $9.16 million, followed by Solana [SOL], which recorded $1.87 million worth of inflows. Additionally, Chainlink [LINK] also saw smaller inflows of $439.03K.

This split suggests investors may be reducing exposure to larger, established crypto assets like Ethereum.

What’s more?

This coincided with UNI recently lagging in the broader market over the past three weeks, even as many altcoins rallied alongside Bitcoin [BTC] in early January.

While UNI did see momentum last month around the UNIfication proposal, that strength faded quickly after the vote passed.

Even major developments, such as the 100 million UNI token burn, the removal of frontend fees by Uniswap Labs, and the activation of fee switches, failed to trigger a sustained rally.

This underperformance, especially compared to Bitcoin and other altcoins, remains a concern for bullish investors.

In short, while Uniswap’s fundamentals and governance progress are improving, the market has yet to reflect that confidence in price.


Final Thoughts

  • Bitwise’s filing signals long-term intent, not immediate action, as no SEC review or timeline is currently in place.
  • Altcoin ETF flows remain mixed, suggesting selective interest rather than broad confidence across the market.

Related Questions

QWhat is the main purpose of Bitwise filing for a Uniswap ETF trust in Delaware?

AThe main purpose is for early legal preparation, allowing Bitwise to move quickly if regulations change, rather than indicating immediate action as there is currently no active SEC review or confirmed timeline for a formal filing.

QHow did the UNI token price react to the Bitwise ETF filing news?

AThe UNI token reacted positively, trading at $4.82 with a 3.83% increase over 24 hours around the time of the filing.

QWhat does the mixed flow in the broader ETF market suggest about investor sentiment according to the article?

AThe mixed flows, with Ethereum seeing large outflows while assets like XRP and SOL saw inflows, suggest investors may be reducing exposure to larger, established crypto assets and showing selective interest rather than broad market confidence.

QWhy has UNI's recent market performance been a concern for investors despite positive developments?

AUNI has underperformed compared to Bitcoin and other altcoins, failing to sustain rallies even after major developments like the 100 million token burn and activation of fee switches, indicating that market confidence hasn't been reflected in its price.

QWhat were some key Uniswap developments mentioned that failed to trigger a sustained price rally?

AKey developments that failed to trigger a sustained rally include the 100 million UNI token burn, the removal of frontend fees by Uniswap Labs, and the activation of fee switches.

Related Reads

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit31m ago

Apple Also Has to Pay Rent Now

marsbit31m ago

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

With the excitement around SpaceX's recent public listing reigniting interest in the US stock market, Chinese investors face significant challenges accessing compliant and convenient trading channels following regulatory actions against major online brokers. This article explores the available options, highlighting their risks and limitations. Traditional paths for US stock investments remain problematic. Qualified Domestic Institutional Investor (QDII) and Listed Open-Ended Fund (LOF) products, while compliant, suffer from high fees, significant purchase premiums, and a very limited selection of assets. Small, unregulated offshore brokers pose substantial risks, including potential insolvency. While secure, VIP accounts at banks in Hong Kong or Singapore require high minimum deposits (often 1-2 million RMB) and in-person visits, placing them out of reach for most retail investors. The article positions cryptocurrency exchanges, specifically their TradFi (traditional finance on-chain) offerings, as a compelling alternative. Platforms like WEEX are noted for providing access to a wide range of US stocks and ETFs, including SpaceX (SPCXON), through tokenized assets. This method offers advantages such as a single account for both crypto and traditional assets, USDT-based settlement avoiding fiat complexities, flexible leverage, and robust risk management. To attract users, WEEX is promoting a "First Trade Guarantee" campaign. Running from June 15 to July 8 (UTC+8), it features a $30,000 prize pool. Users who trade $500 worth of US stock contracts can qualify for a guarantee on their first eligible trade: 100% loss coverage up to $30 or a 20% bonus on profits up to $30. The campaign is presented as a low-risk opportunity for both crypto natives and traditional investors to experience US stock trading.

marsbit32m ago

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

marsbit32m ago

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

How Hard Is It to Make a Chip? A Division Error Cost $475 Million Chip expert Shi Kan, a researcher at the Chinese Academy of Sciences and a popular tech creator, explains the immense challenges of chip development. Chips are foundational to modern technology, but their creation is extraordinarily difficult. The journey from sand to a functional chip involves complex design and manufacturing, but a critical bottleneck is verification—ensuring the design works flawlessly before costly production. A single, undetected bug can have catastrophic consequences, as illustrated by the infamous 1994 Intel Pentium FDIV bug. A flaw in the floating-point division unit forced a recall costing $475 million. Unlike software, chips cannot be easily patched after manufacture, making "first-time success" paramount. However, industry surveys show only 24% of chip projects achieve this; over three-quarters require at least one costly re-spin due to design flaws. Verification has thus become the dominant phase, consuming up to 70% of the design cycle. The core challenge is a "verification impossible triangle" between high performance, good debuggability, and low cost. Exhaustively verifying a modern CPU core could take 15,000 years with software simulation, or 30 years with advanced hardware emulation—timeframes utterly impractical for development. Despite being essential, verification is often seen as unglamorous "dirty work," receiving less academic attention than fields like AI. Shi and his team are tackling this by developing an agile verification research framework called ENCORE, based on FPGA technology, to improve verification efficiency and debug capability. Beyond research, Shi engages in public science communication through long-form video content, aiming to demystify chip technology, AI, and computer science. He argues for the value of pursuing "hard and long-term" endeavors, whether in the meticulous world of chip verification or in creating substantive educational content, believing such sustained effort is likely the right path forward.

marsbit42m ago

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

marsbit42m ago

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

Blockchain Finds Its True Path After 18 Years: Becoming the Financial Backbone for AI Agents and Autonomy This analysis explores a pivotal shift in the blockchain and crypto investment landscape, driven by the dominance of AI. Major venture capital firms, including Variant, Paradigm, Haun Ventures, and YZi Labs, are moving beyond pure "crypto" investment theses. They are expanding their focus to AI, robotics, and frontier tech, signaling that blockchain is no longer seen as a standalone sector but as an underlying infrastructure layer. The core argument is that blockchain's killer application may not be user-facing apps, but rather providing the economic rails for the coming wave of AI agents, autonomous robots, and automated systems. Key capabilities like self-custody wallets, programmable stablecoins for micropayments, on-chain identity, and verifiable smart contracts are positioned as essential for a future where machines conduct economic activity. The recent $1.4 billion investment by Tether (via its venture arm) in German robotics company NEURA Robotics exemplifies this, aiming to embed Tether's wallet tools directly into robots for autonomous transactions. While many "AI + Crypto" projects remain superficial, the article concludes that true value lies where crypto is a necessary component—enabling machine-to-machine payments, agent autonomy, verifiable data provenance, and open financial settlement for the AI era. For crypto venture capital, this convergence with AI represents both an adaptation to shifting capital flows and a potential path to unlocking the large-scale, non-speculative utility the industry has long sought.

marsbit1h ago

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片