2026-07-14 Terça

Notícias de cripto

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

How to Regulate Single-Stock Leveraged ETFs? On Thursday, the Entire Market Is Watching This Korean Government Meeting

The highest-level economic coordination body in South Korea, the "F4" comprising the Ministry of Economy and Finance, the Financial Services Commission, the Bank of Korea, and the Financial Supervisory Service, will hold an emergency meeting on Thursday to discuss regulatory measures for single-stock leveraged ETFs. These products, launched just six weeks ago, have been widely blamed for exacerbating market volatility. The KOSPI's 8% plunge on Monday triggered the year's seventh trading halt, intensifying scrutiny. Regulators have expressed rare public regret over approving the products. FSS Governor Lee Bok-hyun stated he "regretted not doing everything possible to prevent" their introduction and acknowledged structural problems, citing massive retail investments and legal complications from a rushed rollout. Possible countermeasures under discussion include raising margin requirements, imposing daily price limits, and adjusting leverage caps. However, officials admit these may be temporary fixes. Data confirms the amplified volatility. Since the ETFs' launch, days with KOSPI moves exceeding 3% have nearly doubled. Trading halts have reached record levels, surpassing the 2008 financial crisis peak. The products allow 2x leveraged bets on giants like Samsung Electronics and SK Hynix. Their daily rebalancing to match returns is seen as mechanically fueling market swings. The outcome of Thursday's F4 meeting is highly anticipated, with expectations leaning towards stricter controls on leverage, investor access, or other structural constraints to curb the products' market impact.

marsbitHá 13m

How to Regulate Single-Stock Leveraged ETFs? On Thursday, the Entire Market Is Watching This Korean Government Meeting

marsbitHá 13m

AI Overhauled Terence Tao's 30-Year-Old Website, Uncovering Two Bugs Hidden for Over Two Decades in the Process

AI Revamps Terence Tao's 30-Year-Old Website, Unearthing Two 20-Year-Old Bugs in His Code Terence Tao, a renowned mathematician, has enlisted an AI agent to overhaul his personal academic website, which was built in 1997 with a static HTML, manually-maintained "Web 1.0" architecture. In just one day, the agent migrated 560 papers and preprints, 374 travel logs, 68 courses, 19 books, and 29 old math applets to a new system on GitHub Pages. The new site is structured around YAML files as the "single source of truth," with static HTML pages automatically generated from this data—a fundamental shift from maintaining individual documents to managing a centralized database. During the migration, the AI uncovered inconsistencies, outdated entries, and broken links that had accumulated over nearly three decades of manual updates. It also successfully ported a set of small educational Java 1.0 applets to JavaScript. Notably, while reviewing this translation, Tao found only one new bug introduced by the AI. Conversely, the AI identified two subtle bugs in his original Java code that he was previously unaware of. Tao emphasizes the project highlights AI's potential for automating tedious "digital housekeeping"—routine tasks like data migration and website maintenance that are costly and error-prone when done manually. He also revived a 27-year-old stalled project: a special relativity visualizer or "Minkowskian Inkscape." With AI assistance, a working alpha version was built in two hours. While AI still requires human oversight for critical work, Tao argues that for such structured, non-core tasks, "AI + human review" can result in lower error rates and drastically lower correction costs compared to purely manual maintenance over decades.

marsbitHá 13m

AI Overhauled Terence Tao's 30-Year-Old Website, Uncovering Two Bugs Hidden for Over Two Decades in the Process

marsbitHá 13m

ZORA Plunges 95%, Coinbase Finally Admits Creator Coins Failed

On July 13th, Coinbase CEO Brian Armstrong publicly declared the failure of Base network's year-long "content coins" strategy. Initially launched in 2025 via the Zora platform and integrated into Coinbase's wallet as a core feature, the model aimed to turn every social media post into a tradeable token. Each post or creator account would generate 1 billion ERC-20 tokens, with creators receiving an initial allocation. The concept briefly propelled Base to become the largest L2 by new token issuance. However, the model proved unsustainable. These tokens, explicitly not granting ownership or revenue shares, primarily functioned as speculative assets dependent on new buyers. While activity surged in mid-2025—with millions of tokens minted and billions in trading volume—it failed to build lasting user engagement or value. High-profile token launches, including one by Base's official account, experienced extreme volatility, often crashing shortly after spikes. The supporting infrastructure token, ZORA, plummeted approximately 95% from its August 2025 peak, losing nearly $520 million in market capitalization. Armstrong acknowledged the misstep, stating "it didn't work" and that Base had shifted focus earlier in the year toward its core competencies of trading and stablecoin payments. This pivot follows internal criticism that the content coin experiment consumed excessive resources, harmed other Base projects, and ultimately resulted in significant financial losses for participating users.

Foresight NewsHá 29m

ZORA Plunges 95%, Coinbase Finally Admits Creator Coins Failed

Foresight NewsHá 29m

Hyperliquid loses mid-range support as short-term selling pressure builds

Hyperliquid recently hit a record $11.07 billion in total Open Interest on its chain, with HIP-3 markets contributing another high of $3.69 billion. This occurred despite a new Ethereum Layer-2, Robinhood Chain, briefly surpassing it in daily speculative interest, fueled by viral memecoin launches. A higher timeframe analysis shows HYPE maintains a bullish swing structure, having broken past a previous high to reach $76.955. Key Fibonacci levels suggest a long-term "golden pocket" support zone lies between $32.56 and $42.05. However, in the short term, the token is trading within a range of $53.3 to $74.6 and has recently fallen below its mid-range support at $64. Technical indicators like the Chaikin Money Flow (CMF) and MACD signal increasing selling pressure and weakening bullish momentum, suggesting a potential drop toward the range's lower end near $53-$54. While the long-term uptrend appears intact, swing traders are advised to watch for a breakdown of the current range, which could lead to a deeper correction toward $32.

ambcryptoHá 43m

Hyperliquid loses mid-range support as short-term selling pressure builds

ambcryptoHá 43m

Uniswap community votes 74% in favor of UNI burn: Will adoption drive token scarcity?

The Uniswap community is voting on a proposal to implement the protocol's first sustained UNI token burn mechanism, with 74% currently in support. The proposal, which involves activating protocol fees on Robinhood Chain and deploying v4, would channel fees into accounts where users can burn UNI. This aims to link UNI's supply directly to protocol usage rather than just governance incentives. With Uniswap generating significant daily and annual protocol revenue, increased trading activity from new deployments like Robinhood Chain could create more opportunities to remove UNI from circulation. While the initial burn rate is modest relative to total supply, the mechanism establishes a long-term connection between usage and token scarcity. The success of this strategy now hinges on user adoption. Robinhood Chain's rapid growth, surpassing $1 billion in swap volume shortly after launch, tests whether Uniswap can expand its user base. Sustained activity on such chains will determine if the burn mechanism can meaningfully strengthen UNI's value by tying it to organic protocol demand.

ambcryptoHá 1h

Uniswap community votes 74% in favor of UNI burn: Will adoption drive token scarcity?

ambcryptoHá 1h

Bonzo Lend Incident Review: How Did a Zero-Signature Vulnerability Cause the Protocol to Lose $9.05 Million?

The lending protocol Bonzo Lend on Hedera was exploited for $9.05 million due to a zero-signature vulnerability in an oracle verifier. An attacker deposited $250 worth of SAUCE tokens and submitted a manipulated price feed with a zero-valued signature and public key point. The oracle verifier, operated by Supra, incorrectly accepted this invalid cryptographic proof as legitimate because the pairing equation mathematically evaluated to true for these zero/identity inputs. This allowed the attacker to artificially inflate the collateral's value by roughly 12 orders of magnitude and borrow $6.63 million in USDC and 34.5 million wrapped HBAR. A second wallet borrowed ~$1 million during the incident but has since contacted Bonzo, identifying as a whitehat with intent to return funds. Bonzo has paused all operations and withdrawals. Supra has reportedly patched the verifier flaw. The protocol remains in maintenance mode while determining recovery plans, compensation, and withdrawal terms for liquidity providers.

marsbitHá 1h

Bonzo Lend Incident Review: How Did a Zero-Signature Vulnerability Cause the Protocol to Lose $9.05 Million?

marsbitHá 1h

Semifinal AI Predictions Frenzy: France a Sure Thing? England vs Argentina's Fate Uncertain

"Semi-final AI Prediction Showdown: France Secure, England-Argentina Unpredictable Six AI models (ChatGPT, Claude, Gemini, DeepSeek, Qwen, Grok) previously correctly predicted all four World Cup quarter-final winners. For the semi-finals, their forecasts diverge. In the France vs. Spain match, five AIs predict a French victory with a unanimous 2-1 scoreline. They cite France's threat on the counter-attack against Spain's high defensive line. Only Gemini disagrees, forecasting a 1-1 draw after extra time and a Spanish win on penalties, believing Spain's possession can neutralize France's transitions. The England vs. Argentina match splits opinion evenly. Grok, DeepSeek, and Qwen favor England (with scores of 2-1 or 2-0), emphasizing physicality and set-pieces. ChatGPT, Gemini, and Claude back Argentina. Predictions range from a 2-1 Argentine win in regular time to a 1-1 draw leading to extra time or even penalties, where Argentina's experience is seen as decisive. The models cite fatigue from both teams' taxing quarter-finals as a key factor. The semi-finals present one match with strong AI consensus and another with complete disagreement."

Odaily星球日报Há 1h

Semifinal AI Predictions Frenzy: France a Sure Thing? England vs Argentina's Fate Uncertain

Odaily星球日报Há 1h

Interest Rate Hike Option Back on the Table, CPI Release Imminent: What Variables Are Markets Focusing On?

The possibility of interest rate hikes is back on the table ahead of the June CPI release. Fed Governor Christopher Waller stated that if upcoming core inflation data remains hot, the FOMC should consider tightening monetary policy soon. His comments, directly linking potential action to the CPI report, caused market expectations for a July rate hike to rise from around 35% to over 40%. This CPI report is critical not for dictating a single meeting's outcome, but for testing the credibility of disinflation. A higher-than-expected core CPI reading would challenge the Fed's ability to remain patient, potentially shifting internal discussions toward more tightening. Conversely, cooler data would allow markets to view Waller's remarks as a warning rather than a policy shift signal. The repricing of rate expectations pressures risk assets like tech stocks and cryptocurrencies (BTC, ETH) by pushing up the discount rate for future cash flows and strengthening the US dollar. The key variable to watch post-CPI is whether the implied probability of a July hike stabilizes above 50%, which would signify a shift from pricing a tail risk to a baseline scenario. The most significant market stress would come from a combination of hot CPI data, a sustained rise in hike probabilities above 50%, and similar hawkish signals from other Fed officials, forcing a broad repricing of the "hiking cycle is over" trade.

marsbitHá 1h

Interest Rate Hike Option Back on the Table, CPI Release Imminent: What Variables Are Markets Focusing On?

marsbitHá 1h

Jito price recovers – Assessing if JTO can flip $0.67 into support

Jito (JTO) price recovered 11.5% to trade around $0.665 after buyers defended the $0.6 support level. The rally was fueled by renewed speculative demand, with derivatives volume surging 86% and open interest up 21%, indicating new long positions. However, significant profit-taking was observed, with a 364% jump in spot net flow to exchanges suggesting active selling pressure. While key momentum indicators like the RSI improved, they remained below the neutral 50 level, indicating bulls have not fully regained control. For the upside to hold, JTO needs to convert the $0.67 level into support and push the RSI above 50 to target $0.70. Failure to do so risks a retracement back below $0.59 due to ongoing selling activity.

ambcryptoHá 2h

Jito price recovers – Assessing if JTO can flip $0.67 into support

ambcryptoHá 2h

Grayscale: The Three Evolution Stages of Stock Tokenization and a Review of Core Beneficiary Public Blockchains

Grayscale outlines three key phases in the adoption of tokenized stocks, each benefiting different blockchain infrastructures. Phase 1: The "Wrapper Model." Third-party platforms create tokens representing claims on an SPV that holds the underlying stocks. While not conferring direct ownership, these tokens enable DeFi use and retail access. This currently dominant model (~70% by market cap) primarily operates on Ethereum, Solana, and BNB Chain. Phase 2: The "Entitlement Model." Major financial institutions like DTCC tokenize existing, regulated securities through their post-trade infrastructure to enable on-chain settlement and movement. The upcoming DTCC pilot on Canton Network exemplifies this institutional-led approach. Phase 3: The "Issuer-Led Model." Companies natively issue securities directly on a blockchain, as recently demonstrated by Securitize. This model offers the greatest long-term potential but requires more regulatory clarity. It is expected to favor open-architecture blockchains like Ethereum and Solana, as well as hybrid networks like Avalanche. The report posits that all three models will coexist. The primary blockchain networks poised to benefit from tokenized equity growth are Ethereum, Solana, BNB Chain, Avalanche, and Canton Network.

marsbitHá 2h

Grayscale: The Three Evolution Stages of Stock Tokenization and a Review of Core Beneficiary Public Blockchains

marsbitHá 2h

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