以太坊击败CD20，ETH ETF出现正向流入，DEX代币上涨

币界网Published on 2024-08-13Last updated on 2024-08-13

币界网报道：
周二亚洲交易日，以太币领先于比特币和CD20，ETH ETF扭转了外流趋势。许多DEX代币也上涨了，因为一些最大的协议在费用生成方面显示出积极的趋势。
以太坊（ETH）上涨了4%，超过了CoinDesk 20（CD20）指数，因为流入以太坊交易所交易基金（ETF）的资金有所增加，许多最大的去中心化交易所（DEX）显示出增长的迹象。

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
xvs
VenusXVS
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE

Related Reads

Donald Trump’s 2031 Post-Quantum Security Mandate Sparks Urgent Crypto Upgrade Efforts

U.S. President Donald Trump has issued executive orders mandating federal agencies to upgrade their cryptographic systems to quantum-resistant technologies. Key deadlines include enhancing critical systems by December 2030 and migrating all federal digital signature infrastructure to post-quantum standards by December 2031. The move addresses "harvest now, decrypt later" threats, where encrypted data could be decrypted by future quantum computers. The directive has spurred urgency in the crypto and blockchain industry, which relies heavily on elliptic curve cryptography vulnerable to quantum attacks. Recent advancements, like those from Google Quantum AI, have reduced the resources needed for such attacks. In response, projects like Ethereum, Algorand, and Ripple are developing or implementing quantum-resistant signature schemes and migration plans. The mandate also highlights risks to Bitcoin, where exposed public keys in legacy addresses could be targeted. Overall, the orders accelerate a broader shift toward post-quantum security across both government and private sectors.

TheNewsCrypto10m ago

Donald Trump’s 2031 Post-Quantum Security Mandate Sparks Urgent Crypto Upgrade Efforts

TheNewsCrypto10m ago

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Decentralized Reasoning: Beyond the Hype, a Key to Breaking AI's Centralized Monopoly A future scenario where a powerful AI model is banned by a major government illustrates the core value proposition of decentralized AI: resistance to censorship. The core bet of decentralized inference networks is mitigating this risk, with other benefits like cost being secondary. The path is extremely difficult, involving four key challenges: 1. **Running Massive Models:** Distributing a single model across a decentralized GPU swarm requires sophisticated techniques like pipeline and speculative decoding to overcome crippling network latency, aiming for usable speeds (e.g., 30-40 tokens/second). 2. **Proving Model Integrity:** Verifying that a node runs the correct model is critical. Solutions range from cryptographically secure but slow ZKML to faster, economically-secure methods like statistical fingerprints, deterministic re-execution, or live-weight proofs, each involving trade-offs between integrity, latency, and cost. 3. **Ensuring Prompt Privacy:** Simply sharding a model does not protect user inputs from nodes. Robust solutions currently require trusted hardware (TEEs) or advanced cryptography (FHE), which are not yet widely deployed in consumer swarms. 4. **Building a Real Market:** Identifying the ideal customer is tough. Beyond speculative AI agents, the viable market currently consists of startups embedding AI and projects needing batch processing (e.g., synthetic data generation), where decentralized aggregation can be an advantage over low-latency needs. The article analyzes several projects tackling these problems, such as Dolphin Network (live-weight proofs), Inference.net (statistical verification), Morpheus (TEE-based), and Darkbloom (Apple Secure Enclave). It provides a framework: decentralization is a "tax" for latency-sensitive applications (e.g., chat) but a potential supply-side advantage for throughput-oriented tasks (e.g., batch processing). The long-term vision is a closed data loop where decentralized inference generates valuable data (traces, preferences) to feed decentralized training networks, which in turn produce better open-weight models for the inference networks. A due diligence checklist advises focusing on projects that: are truly decentralized at specific layers; have a credible integrity method; offer real cost benefits; ensure genuine privacy; handle node reliability; have paying users; and are built by teams with deep AI expertise. The ultimate goal should be products that appeal beyond the crypto-native audience, using crypto mechanisms invisibly to deliver better cost, performance, or privacy.

Foresight News16m ago

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Foresight News16m ago

Warsh’s First FOMC Chairmanship: Fed Provides Less Rate Guidance, Will US Bonds Become More Expensive?

Fed Chair Kevin Warsh's first FOMC meeting in June 2026 marked a shift in communication policy. The Fed held rates steady at 3.50%-3.75% but removed some forward guidance from its statement, and Warsh did not submit his own "dot plot" interest rate forecast. The move reduces clear signals on future policy paths, which bond markets interpreted as introducing greater uncertainty. Consequently, short-term Treasury yields, like the 2-year, rose to multi-month highs as investors demanded higher yields to compensate for increased policy judgment risk. Warsh aims to break the "echo chamber" where markets overly focus on Fed signals rather than economic fundamentals. While some investors welcome potential reduced market speculation, others worry that less clarity will amplify volatility and raise borrowing costs. The review of Fed communication tools underscores a debate on balancing transparency with policy flexibility in a higher-rate environment.

marsbit21m ago

Warsh’s First FOMC Chairmanship: Fed Provides Less Rate Guidance, Will US Bonds Become More Expensive?

marsbit21m ago

The Final Piece of Franklin Templeton's Crypto Ambition

Franklin Templeton Completes Crypto Ambition with Acquisition of 250 Digital On June 22, Franklin Templeton announced the acquisition of 250 Digital and established Franklin Crypto, a new division focused on actively managed cryptocurrency strategies for institutional investors. The unit is led by Christopher Perkins and Seth Ginns. This acquisition marks a key piece in Franklin Templeton's multi-year crypto strategy, which began in 2018 with a digital assets team. The firm's crypto product suite now spans three layers: tokenized funds like the blockchain-based money market fund BENJI (~$831M AUM); a series of passive ETFs including Bitcoin (EZBC, ~$368M), Ethereum (EZET), XRP (XRPZ, ~$252M), Solana (SOEZ), and a multi-crypto index fund (EZPZ); and the newly added active management strategies from Franklin Crypto. The company has also expanded its crypto ecosystem through investments in projects like Ethena and Crossmint, and collaborations with blockchains such as Aptos and Sui. With approximately $18B in digital asset AUM and a total firm AUM of ~$1.78T, Franklin Templeton is positioning itself as a comprehensive crypto asset manager for pensions and sovereign wealth funds. In contrast, competitor Fidelity Investments has taken a different path, focusing early on building its own custody and trading infrastructure. Fidelity's Bitcoin ETF (FBTC) holds over $11B, significantly larger than Franklin Templeton's equivalent offering. Both giants' moves underscore the deepening trend of traditional finance entering the crypto space.

Foresight News39m ago

The Final Piece of Franklin Templeton's Crypto Ambition

Foresight News39m ago

Fed Chair Kevin Warsh Faces Congress on July 14 Amid Rate Hike Debate

Federal Reserve Chair Kevin Warsh will testify before the House Financial Services Committee on July 14, providing his first monetary policy assessment to Congress. This hearing occurs weeks before the Federal Open Market Committee's next meeting and fulfills the Fed's biannual reporting requirement. Investors are closely watching for insights on inflation and interest rates. Attention has shifted to the upcoming Personal Consumption Expenditures price index data, with May's figures expected to show a 0.5% monthly increase. Due to persistent inflation, some institutions like Bank of America now forecast three quarter-point rate hikes in September, October, and December, a shift from earlier expectations of no changes this year. Markets currently see a low probability of a July rate hike but are increasingly pricing in tightening later in the year, with CME FedWatch data indicating over a 50% chance of a move by September.

TheNewsCrypto42m ago

Fed Chair Kevin Warsh Faces Congress on July 14 Amid Rate Hike Debate

TheNewsCrypto42m 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 ETH (ETH) are presented below.

活动图片

Top Questions