Bitwise Files for 11 Altcoin ETFs as Crypto ETF Momentum Grows

TheNewsCryptoОпубліковано о 2026-01-13Востаннє оновлено о 2026-01-13

Анотація

Bitwise Asset Management has filed with the U.S. SEC for approval of 11 new altcoin ETFs, marking a significant milestone in the crypto ETF space. The proposed funds would include exposure to tokens such as Uniswap (UNI), Aave (AAVE), Tron (TRX), Sui (SUI), Zcash (ZEC), and NEAR. The structure allocates 60% of assets to direct cryptocurrency holdings and 40% to ETFs or derivatives tracking similar assets, aiming to comply with regulations while ensuring liquidity and cost efficiency. This filing coincides with a period of mixed market performance: Bitcoin remains above $91k and Ethereum above $3,100 despite a recent 0.74% market dip. Bitcoin and Ethereum spot ETFs also saw positive net inflows after days of outflows.

Last month, Bitwise Asset Management filed with the Securities and Exchange Commission of the United States to look for the approval of 11 new exchange-traded funds (ETFs). These ETFs will focus on the prominent altcoins, which will mark a prominent milestone in the history of cryptocurrency ETFs in the U.S. regulatory area.

The crypto market plunged by 0.74% in the past 24 hours, with Bitcoin holding over $91k and Ethereum being above $3,100. Regardless of this fall, the market is looking for a potential recovery.

Yesterday, the net inflow of Bitcoin spot ETFs increased by $117 million in four days of continuous outflows. Ethereum spot ETFs also witnessed a positive net inflow of about $5.03 million after a continuous three-day outflow.

The inflow of Solana spot ETFs was listed to be at 10.67 million, and XRP spot ETFs was at 15.04 million. Some of the tokens which were listed in the Bitwise 11 Altcoin ETFs are Uniswap (UNI), Aave (AAVE), Tron (TRX), Sui (SUI), Zcash (ZEC) and NEAR.

The Bifurcation of Funds

The company has shown these funds in a way that institutional investors will be able to explore both old and new cryptocurrencies. These ETFs include direct token holdings, having exchange-traded products (ETPs) and derivatives to offer exposure to every cryptocurrency.

The funds will put around 60% of their assets straight into cryptocurrencies, and the remaining 40% will be invested in ETFs or derivatives tracking the similar assets. The structure is designed in a way to check that the products have cleared the SEC regulations but is still flexible to meet the liquidity needs and economical operations.

Having this hybrid approach, Bitwise is looking to roll out an easier method for investors to get into the altcoin market. Bitwise filing came at the time of the issuance of new listing standards of cryptocurrency exchange-traded products by the SEC.

Highlighted Crypto News Today:

Eric Adams’ Solana Meme Coin NYC Crashes After $580M Peak

Пов'язані питання

QHow many new altcoin ETFs did Bitwise Asset Management file for with the SEC?

ABitwise Asset Management filed for 11 new altcoin ETFs with the SEC.

QWhat was the net inflow for Bitcoin spot ETFs after four days of continuous outflows?

AThe net inflow for Bitcoin spot ETFs increased by $117 million after four days of continuous outflows.

QWhat percentage of the new Bitwise ETFs' assets will be directly in cryptocurrencies?

AApproximately 60% of the new Bitwise ETFs' assets will be directly invested in cryptocurrencies.

QWhich specific altcoins are mentioned as being included in the Bitwise 11 Altcoin ETFs filing?

AThe specific altcoins mentioned are Uniswap (UNI), Aave (AAVE), Tron (TRX), Sui (SUI), Zcash (ZEC), and NEAR.

QWhat is the purpose of the hybrid structure (direct holdings, ETPs, derivatives) for the proposed Bitwise ETFs?

AThe hybrid structure is designed to ensure the products comply with SEC regulations while remaining flexible to meet liquidity needs and enable economical operations.

Пов'язані матеріали

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

**Title: Daily Briefing | Trump Media Group Releases Q1 Report; Top 3 DeFi Apps Return Nearly $100M to Token Holders; Michael Saylor Signals Potential Bitcoin Buy** **Summary:** Key developments in the past 24 hours include: * **Economic Outlook:** Goldman Sachs has pushed back its forecast for the next two Federal Reserve interest rate cuts to December 2026 and March 2027, citing persistent inflationary pressures from energy costs. This delayed timeline is expected to tighten liquidity flow into risk assets, including cryptocurrencies. * **DeFi & Revenue:** Data from DefiLlama shows that three leading DeFi applications—Hyperliquid, Pump.fun, and EdgeX—collectively distributed $96.3 million in revenue to their token holders over the last 30 days. This trend highlights a shift in the crypto community's focus towards real protocol earnings and sustainable economic models. * **Corporate Bitcoin Moves:** Michael Saylor, founder of MicroStrategy (note: referred to as 'Strategy' in the text, likely a typographical error), has signaled potential upcoming Bitcoin purchases by posting a "Bitcoin Tracker" update, following a pattern that typically precedes the company's official disclosure of new acquisitions. * **Market Integrity:** Prediction market platform Polymarket announced updates to address platform issues, including identifying and banning clusters of accounts involved in "ghost-fill" activities and implementing measures to prevent bulk account creation. * **Regulation:** The Bank of England Governor warned that stablecoin regulation could lead to tensions between US and international regulators. In South Korea, the National Tax Service has launched a pilot program to entrust seized virtual assets to private custody firms for management. * **Meme Token Trends:** GMGN data lists the top trending meme tokens on Ethereum (e.g., HEX, SHIB), Solana (e.g., FWOG, TROLL), and Base (e.g., SKITTEN, PEPE) over the past day. **Financial Note:** Trump Media & Technology Group reported a Q1 loss of approximately $4 billion, primarily attributed to unrealized losses on its Bitcoin and other digital asset holdings.

链捕手26 хв тому

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

链捕手26 хв тому

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

Telegram founder Pavel Durov announced that Telegram will replace the TON Foundation as the core driver and largest validator of The Open Network (TON). Key initiatives include a sixfold reduction in transaction fees, performance upgrades, and improved developer tools within the next few weeks. This marks a strategic shift from Telegram merely providing user access to deeply integrating TON into its platform's core infrastructure. The goal is to transform Telegram's massive social traffic into sustainable on-chain activity. While viral mini-apps like Notcoin have demonstrated Telegram's ability to drive user adoption, TON aims to support frequent, low-value transactions inherent to social platforms—such as tipping, in-app payments, and game rewards. Ultra-low fees and sub-second finality (0.6 seconds) are crucial to making blockchain interactions seamless and nearly invisible within the Telegram user experience. However, Telegram's increased central role raises questions about network decentralization. Durov argues that Telegram's participation will attract more large validators, thereby enhancing decentralization. TON also offers high annual staking rewards (18.8%), aiming to retain capital within its ecosystem. The fundamental challenge for TON is no longer leveraging Telegram's user base, but becoming an indispensable, seamless infrastructure layer for Telegram's everyday applications—moving from an adjacent chain to an embedded utility.

marsbit28 хв тому

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

marsbit28 хв тому

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

Odaily星球日报37 хв тому

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Odaily星球日报37 хв тому

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit1 год тому

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit1 год тому

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit1 год тому

Your Claude Will Dream Tonight, Don't Disturb It

marsbit1 год тому

Торгівля

Спот

Ф'ючерси