2026-08-02 Domingo

Notícias de cripto - Página 98

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.

TRUMP holds $1.50 – Breakout setup or another Q3 bull trap?

The TRUMP memecoin is consolidating around $1.50 with rising Open Interest (OI), hinting at a potential breakout setup as bulls buy the dip. However, the broader context is bearish. TRUMP is down over 5.3% in Q3, underperforming Bitcoin and continuing a streak of quarterly losses. Bullish catalysts are fading, including declining odds for the pro-crypto CLARITY Act. With the wider memecoin sector struggling and speculative demand cooling, TRUMP's recent bounce may be a short-term rotation rather than a reversal. A break below $1.50 support could confirm a bull trap, leading to a deeper Q3 breakdown.

ambcrypto07/20 07:47

TRUMP holds $1.50 – Breakout setup or another Q3 bull trap?

ambcrypto07/20 07:47

Large Models No Longer "Guess" Image Scores, Use "Visual Evidence" like Structural Maps and Spectrograms as "Physical Evidence" to Score Images

Multimodal large language models (MLLMs) often perform poorly on image quality assessment (IQA), as they primarily rely on semantic understanding and are insensitive to underlying degradations like noise or blur. To address this, researchers from Northwestern Polytechnical University and Hong Kong University of Science and Technology introduced IQA-T1, a novel framework that enables MLLMs to generate and use structured "visual evidence"—such as noise residual maps, Fourier magnitude spectra, and gradient orientation coherence maps—for reasoning. IQA-T1 actively selects tools from a dedicated perceptual library to produce this evidence, shifting from intuitive "guesswork" to evidence-based assessment. Trained via supervised fine-tuning and reinforcement learning on a newly created Q-Tool dataset, the model learns to call tools efficiently. Evaluated across seven IQA benchmarks, IQA-T1 achieves state-of-the-art average PLCC/SRCC scores of 0.795/0.784 while providing explainable, traceable reasoning chains.

marsbit07/20 07:47

Large Models No Longer "Guess" Image Scores, Use "Visual Evidence" like Structural Maps and Spectrograms as "Physical Evidence" to Score Images

marsbit07/20 07:47

Allbridge Suspends Core Protocol After $1.65M Solana Flash Loan Exploit

Cross-chain protocol AllBridge Core suspended operations after suffering a $1.65 million flash loan exploit on its Solana deployment. The attacker manipulated a stablecoin pool's exchange rate using a $1.12 million USDC loan from Kamino, creating a price imbalance to perform a profitable arbitrage. Stolen funds were moved to Ethereum via privacy pools. This is the protocol's second such attack, following a $573,000 exploit in April 2023. The suspension causes operational delays, reduces cross-chain liquidity, and highlights persistent security vulnerabilities in bridge protocols and automated market maker systems.

TheNewsCrypto07/20 07:41

Allbridge Suspends Core Protocol After $1.65M Solana Flash Loan Exploit

TheNewsCrypto07/20 07:41

North Korean-Linked Contractor Infiltrated MetaMask for a Month, The Real Vulnerability in Crypto Projects Isn't in the Code

A contractor linked to North Korea gained access to MetaMask's code repository through a third-party vendor, working from March 9 until being removed in April. Consensys, MetaMask's parent company, stated no user assets, data, or security were compromised, and no malicious code was deployed. The company identified the threat, terminated access, launched an investigation, and notified law enforcement. The incident highlights critical vulnerabilities in outsourced management for crypto projects, where operational failures—not code bugs—are the primary risk. Reports indicate roughly 76% of stolen DeFi funds in early 2024 resulted from operational attacks on keys, custody, signatures, and approvals. Security guidelines recommend stringent contractor vetting—including identity verification, background checks, and multi-interview processes—along with enforcing principle of least privilege for code access. Key measures include making code activity traceable, reviewing all production changes, conducting extra scrutiny on external contributions, and swiftly revoking access when no longer needed. The event underscores the need for continuous conditional access for contractors and predefined protocols to halt deployments during security investigations.

marsbit07/20 07:20

North Korean-Linked Contractor Infiltrated MetaMask for a Month, The Real Vulnerability in Crypto Projects Isn't in the Code

marsbit07/20 07:20

From Gold to Bitcoin: Fixed Supply + Institutional Frenzy, Might It Repeat the 'Explosive' Price Trend?

"From Gold to Bitcoin: Fixed Supply and Institutional Frenzy May Lead to 'Explosive' Price Rally Analysts suggest Bitcoin's price action could mirror gold's over the past two decades, following the launch of spot Bitcoin ETFs. Gold ETFs, introduced in 2004, drove gold's price surge to a current market cap near $28 trillion. Both gold and Bitcoin are non-yielding stores of value, with prices driven purely by investor sentiment rather than cash flows or credit. Gold ETFs experienced dramatic cycles: explosive growth, painful drawdowns, and slow recoveries, with each cycle reaching higher peaks. Bitcoin ETFs, approved in early 2024, saw rapid institutional adoption but are now facing similar volatility. Recent warnings highlight the risk of significant ETF outflows disrupting the current rebound. BlackRock's IBIT, a leading Bitcoin ETF, has sold nearly 100,000 BTC to meet redemptions while still holding over 733,000. The core parallel is fixed supply: when demand surges, prices explode, but demand is often volatile and wave-like, not steady. Institutional interest, through ETFs and corporate adoption, remains a key support pillar, helping to cushion sell-offs. If Bitcoin captures even a fraction of gold's role as a store of value, its upside potential is immense, though the path will be marked by high volatility. For investors, focusing on long-term trends and managing risk is crucial as this 'price explosion' narrative unfolds."

Foresight News07/20 07:03

From Gold to Bitcoin: Fixed Supply + Institutional Frenzy, Might It Repeat the 'Explosive' Price Trend?

Foresight News07/20 07:03

Why Is AI Agent Shopping Hard to Popularize?

The article argues that the popular narrative of "AI agent shopping" – equipping AI with a wallet to autonomously handle purchases – is fundamentally flawed and oversimplifies the complexity of shopping. It deconstructs shopping into two core actions: **information retrieval** (standardized, easily automated) and **value judgment** (deeply subjective and human-centric). The narrative mistakenly assumes AI can fully handle both. Value judgment itself has two layers: **evaluation** (assessing options against criteria) and **demand definition** (setting the criteria, weights, and values). The latter is inherently human and dynamic, as preferences are not fixed but constructed during the decision-making process ("constructive preferences"). The real dividing line for automation is not product standardization, but whether the **act of choosing** itself holds experiential value. For mundane purchases (e.g., printer paper), full AI delegation works. For experiential goods (e.g., wine, furniture), the joy of selection is core to consumption, so AI should act as an assistant that narrows options, leaving the final choice to humans. The "AI wallet" concept confuses three separate elements: decision-making, execution, and fund custody. Current payment industry solutions (e.g., from Stripe, Mastercard, Google, Visa) show that limited, scoped payment authorization tokens are sufficient for most consumer scenarios, not full fund custody. The true use case for autonomous AI wallets is in **B2B procurement** and **machine-to-machine (M2M) settlements** for standardized, high-frequency, low-value transactions. The real bottlenecks for AI shopping are not payment technology, but **1) the lack of trusted data sources** (e.g., fake reviews, counterfeit goods) and **2) the impossibility of automating human demand definition**. The conclusion is that the focus should be on safely automating the assessment and filtering process while reserving for humans the rights to define their criteria and enjoy the final act of choice. For experiential goods, the platform's competitive advantage shifts to providing a superior selection experience.

Foresight News07/20 06:05

Why Is AI Agent Shopping Hard to Popularize?

Foresight News07/20 06:05

zcashd shuts down, Zcash enters Ironwood era: Is quantum-resistant privacy the future?

Zcash has completed its infrastructure transition by retiring the original zcashd software and fully adopting the Rust-based Zebra and Zakura node implementations. This shift, finalizing in July 2024, enhances network maintainability and prepares for the upcoming Ironwood era. Despite a previously disclosed vulnerability in the Orchard shielded pool, user confidence appears resilient. Shielded transaction volume grew 11.1% quarter-over-quarter, and the anonymity set expanded significantly, even as total shielded balances saw a moderate decline. The prompt containment of the Orchard flaw, which did not threaten total ZEC supply, demonstrated effective protocol safeguards. The incoming Ironwood upgrade aims to further strengthen long-term security through formal verification and quantum-resistant features, moving Zcash from reactive fixes to proactive, verifiable security assurances.

ambcrypto07/20 06:02

zcashd shuts down, Zcash enters Ironwood era: Is quantum-resistant privacy the future?

ambcrypto07/20 06:02

After Nine Months of Shorting, a Full Turn to Long: Renowned Trader Opens Bitcoin Positions Around 64K, Crypto Market Long-Short Divergence Intensifies

After nine months of being short, prominent crypto trader Doctor Profit has closed all his bearish positions and started buying Bitcoin near $64,000, signaling a complete bullish reversal. He argues that structural market changes—such as impending U.S. regulation (CLARITY Act) and institutional adoption via securities tokenization—are rewriting the traditional four-year cycle script, potentially bringing the market bottom forward from the widely expected September/October timeframe. This view finds some technical support from on-chain analyst gumsays, who notes a bullish divergence on Bitcoin's weekly chart has persisted for 147 days, nearing the 161-day duration seen before the 2022 cycle low. However, cycle researcher Jake Pahor presents a counter-argument based on historical data. Analyzing patterns since 2014, he identifies three common features of past bear market bottoms: a ~12-month duration from peak to trough, a sustained period of extreme fear (with a proprietary risk score below 20), and the price falling below Bitcoin's realized price (~$53,000 currently). The current cycle, only nine months from its October 2025 peak, meets none of these conditions. The debate highlights a market torn between "front-running" a potential early bottom driven by new fundamentals and waiting for confirmation through traditional on-chain and sentiment metrics. While Doctor Profit opts for aggressive buying, Pahor maintains a disciplined, tiered accumulation strategy, continuing weekly buys at current risk levels but reserving larger orders for if more extreme fear emerges.

marsbit07/20 05:46

After Nine Months of Shorting, a Full Turn to Long: Renowned Trader Opens Bitcoin Positions Around 64K, Crypto Market Long-Short Divergence Intensifies

marsbit07/20 05:46

Senior Trader's Confession: How to Trade Market's False Expectations?

Veteran trader's case study: trading the market's "wrong expectations". This trade centered on a textbook "expectation error" after a weak CPI report. While the market initially priced in broad monetary easing (sending Nasdaq to 30,060), the crucial 30-year real yield hit a 20-year high. This signaled a fractured transmission mechanism: short-term rates eased, but long-term funding costs (vital for tech valuations) refused to fall. The trader executed five short positions on the Nasdaq (NQ) as it fell from 30,060 to 28,768. The core methodology: don't just trade the data, but analyze the market's implied causal chain and identify where it breaks. In this case, the chain was: Weak CPI → Policy Easing → Lower Long-Term Funding Costs → NQ Valuation Expansion. The break occurred between policy easing and long-term rates. The "veto variable" – long-term real yields – refused to confirm the bullish narrative. Trades were structured around "fast variables" (price) temporarily repairing while "slow variables" (funding conditions) remained broken. The article outlines a repeatable framework: 1) Map the market's implied causal chain. 2) Identify the veto variable. 3) Observe if it rejects the narrative. 4) Enter when price still follows the old script. 5) Choose the cleanest asset expression (e.g., short NQ, not broad S&P). 6) Define both invalidation and fulfillment exit conditions. The key insight: Alpha often comes not from an information edge, but from a "reaction function edge" – recognizing when the market is applying an outdated causal logic to new data. The critical question: What causal chain is the market's first reaction relying on, and is that chain still valid today?

marsbit07/20 05:13

Senior Trader's Confession: How to Trade Market's False Expectations?

marsbit07/20 05:13

Opinion: The Hedging Relationship Between U.S. Treasuries and Stocks Has Broken Down, and BTC, as a Risk Asset, Is Under Dual Pressure

For the past 20 years, U.S. investors relied on a free insurance policy: when stocks fell, bonds rose, cushioning portfolio losses. This reliable inverse correlation underpinned entire financial strategies. However, this mechanism broke down around 2020 and has not recovered. Currently, the two-month rolling correlation between the S&P 500 and 10-year Treasury yields is at -0.69, its lowest level since 1996, indicating stocks and bonds are moving in sync to an unprecedented degree, eliminating the traditional portfolio shock absorber. The失效 of this hedge is not simply due to lost confidence in U.S. debt. The key driver is the shift from growth-dominated to inflation-dominated market narratives. When growth fears prevail, stocks and bonds move inversely. Since 2022, persistent inflation volatility has been the dominant factor, causing both asset classes to suffer simultaneously from higher inflation expectations. Investors now seek safety without duration risk, favoring cash, dollars, and short-term Treasuries while selling long-duration bonds. Record U.S. deficits, rising net interest payments, and waning foreign demand (e.g., from Japan) are pressuring long-term yields, with the 30-year yield surpassing 5%. This environment places Bitcoin, as a risk asset on the far end of the risk curve, under dual pressure. Higher risk-free rates increase the opportunity cost of holding non-yielding assets like Bitcoin, while falling equities reduce overall risk appetite. Bitcoin's performance has become highly sensitive to macro conditions such as real yields, dollar strength, and financial conditions. While its long-term thesis as a fixed-supply asset outside the sovereign credit system is strengthened by these fiscal trends, the same conditions hurt it in the short term. The return of bonds as a effective hedge requires inflation volatility to subside, growth risks to retake dominance, and the Fed to have room to ease policy. Until then, Bitcoin trades in a market where the deepest asset class no longer absorbs shocks, removing the safety floor for all risk assets, especially those that pay nothing to wait.

marsbit07/20 05:12

Opinion: The Hedging Relationship Between U.S. Treasuries and Stocks Has Broken Down, and BTC, as a Risk Asset, Is Under Dual Pressure

marsbit07/20 05:12

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