Grayscale Moves to Convert AAVE Trust Into ETF

TheNewsCrypto2026-02-14 tarihinde yayınlandı2026-02-14 tarihinde güncellendi

Özet

Grayscale has filed with the SEC to convert its AAVE Trust into a spot ETF to be listed on NYSE Arca, continuing its strategy of bringing crypto products into regulated structures. The Aave protocol is a leading DeFi lending platform, and its native token, AAVE, has a market cap of around $1.8 billion. This move reflects growing institutional interest in DeFi. If approved, the ETF would charge a 2.5% sponsor fee and use Coinbase for custody, allowing traditional investors to gain exposure to AAVE without directly managing tokens. Grayscale's effort follows its successful conversion of its Bitcoin Trust into an ETF, though Bitwise also filed for similar AAVE-related products in December.

Grayscale has filed with the U.S. Securities and Exchange Commission to convert its AAVE Trust into a spot exchange-traded fund that would list on NYSE Arca. The move marks another step in the asset manager’s strategy to bring crypto-native products into regulated ETF structures.

The filing arrives as institutional interest in decentralised finance grows. Grayscale’s proposal focuses on AAVE, the native token of the Aave protocol, which dominates decentralised lending within DeFi.

AAVE currently holds a market capitalization near $1.8 billion and trades at around $119, reflecting a roughly 9% daily gain. The token reached an all-time high of $661.69 in April 2021, underscoring its volatility and growth history.

Bitwise, however, appears to have moved first. The firm filed paperwork in December for multiple crypto ETFs, including AAVE-related products. That early submission may position Bitwise ahead in the regulatory queue.

Aave’s Role in DeFi Strengthens ETF Case

Aave is the most prominent decentralised lending platform. Users lock crypto assets to earn yield or borrow against collateral without the need for intermediaries. The protocol represents a substantial value locked in DeFi applications.

Investment vehicles tied to AAVE already trade in Europe, including products from 21Shares and Global X. Grayscale’s ETF would bring a U.S.-listed version to regulated markets, expanding access for traditional investors.

Grayscale continues its broader conversion strategy. The firm previously transformed its Bitcoin Trust into a spot ETF after winning a legal battle against the SEC. This marked a paradigm shift in the U.S. ETF market and paved the way for other spot Bitcoin ETFs, which received extensive coverage in crypto regulatory news.

ETF Structure and Market Positioning

The new Grayscale AAVE ETF would charge a 2.5% sponsor fee on net asset value. The ETF would pay this fee in AAVE tokens. Coinbase would serve as both custodian and prime broker, strengthening institutional safeguards around custody and execution.

NYSE Arca plans to list the ETF, subject to SEC approval. The exchange has already hosted multiple crypto-linked ETFs, making it a logical venue for expansion into DeFi tokens.

According to regulatory filings available through the SEC, Grayscale’s strategy mirrors its earlier trust conversions. Market analysts from Bloomberg note that token-based ETFs could accelerate institutional flows into altcoins if regulators approve additional listings.

The ETF would allow investors to gain exposure to AAVE without holding tokens directly or managing private keys. That structure may attract hedge funds, asset managers, and wealth advisors seeking simplified DeFi exposure.

DeFi Enters Institutional Phase

This announcement by Grayscale marks a larger trend. The DeFi token is no longer a niche asset class but a legitimate candidate for an ETF. This is due to increased clarity and improvements in custody solutions.

Although it is still a long shot, the mere announcement of the ETF shows increased confidence in the DeFi sector’s longevity. Institutional adoption is increasing beyond Bitcoin and Ethereum to native protocol assets.

If approved, the ETF could bring increased liquidity and awareness of AAVE in traditional markets. This would further blur the lines between decentralised finance and traditional financial markets.

Highlighted Crypto News:

KuCoin Institutional Premiere 2026 Highlights Long-Term Growth and Market Resilience

İlgili Sorular

QWhat is Grayscale's recent filing with the SEC regarding its AAVE Trust?

AGrayscale has filed with the U.S. Securities and Exchange Commission to convert its AAVE Trust into a spot exchange-traded fund (ETF) that would list on NYSE Arca.

QWhat is the current market capitalization and trading price of AAVE mentioned in the article?

AAAVE currently holds a market capitalization near $1.8 billion and trades at around $119, reflecting a roughly 9% daily gain.

QWhich company is named as a competitor that filed for an AAVE-related ETF before Grayscale?

ABitwise filed paperwork in December for multiple crypto ETFs, including AAVE-related products, which may position it ahead of Grayscale in the regulatory queue.

QWhat role would Coinbase play in the proposed Grayscale AAVE ETF structure?

ACoinbase would serve as both custodian and prime broker for the Grayscale AAVE ETF, strengthening institutional safeguards around custody and execution.

QWhat is the proposed sponsor fee for the new Grayscale AAVE ETF and how would it be paid?

AThe new Grayscale AAVE ETF would charge a 2.5% sponsor fee on net asset value, and the ETF would pay this fee in AAVE tokens.

İlgili Okumalar

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.

marsbit2 dk önce

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

marsbit2 dk önce

S&P Dow Jones and Pantera Launch Crypto Index, Excluding Bitcoin for "Not Making Money"

S&P Dow Jones Indices and Pantera Capital have launched the S&P Pantera Digital Asset Index, a benchmark that excludes Bitcoin and meme coins like XRP. The index adopts a fundamental screening framework inspired by the S&P 500, requiring constituent tokens to demonstrate positive protocol revenue over multiple quarters, verified by on-chain data, and a clear mechanism for distributing value to token holders. This "financial viability" test is cited as the reason for Bitcoin's exclusion, as it does not generate protocol revenue. The index currently includes 18 assets, with Ethereum (ETH), BNB, Solana (SOL), Tron (TRX), and Hyperliquid (HYPE) as its top five holdings. While initially serving as a benchmark, discussions are underway with asset managers to develop associated ETFs and investment products. Pantera argues the index addresses an institutional product gap, offering a way to evaluate crypto assets based on utility and earnings rather than just market capitalization.

marsbit3 dk önce

S&P Dow Jones and Pantera Launch Crypto Index, Excluding Bitcoin for "Not Making Money"

marsbit3 dk önce

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.

marsbit7 dk önce

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

marsbit7 dk önce

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.

marsbit8 dk önce

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

marsbit8 dk önce

Bitcoin, XRP left out – The S&P Digital Asset Index shows crypto’s biggest shift yet

Pantera Capital and S&P Dow Jones Indices have launched the S&P Digital Asset Index, a basket of 18 cryptocurrencies focused on fundamental strength. Notably, Bitcoin and XRP are excluded from the initial confirmed assets, which include Ethereum, BNB, Solana, Hyperliquid, and Tron. This selection highlights a potential market shift, prioritizing Layer-1 networks with proven scalability, utility, and sustainable on-chain revenue—reportedly $3 billion annualized in the past six months—over mere market capitalization. Analysts suggest this "fundamental index for crypto" could guide institutional capital toward assets with real economic activity, possibly leading to a significant divergence in the next market cycle where fundamentals, not just price momentum, drive investment.

ambcrypto16 dk önce

Bitcoin, XRP left out – The S&P Digital Asset Index shows crypto’s biggest shift yet

ambcrypto16 dk önce

İşlemler

Spot