XRP bulls gain ground over bears on social media, ETF inflow streak continues

cointelegraphОпубліковано о 2025-12-14Востаннє оновлено о 2025-12-14

Анотація

According to Santiment, XRP trader sentiment is shifting bullish on social media, with the week recording the seventh-highest number of bullish comments this year as the token hovers around $2. Concurrently, spot XRP ETFs have extended their inflow streak to 19 consecutive days, with over $20.1 million added on Friday. This brings cumulative inflows to nearly $974.5 million and total assets under management to about $1.18 billion. In other developments, Ripple received approval for a national trust bank charter and recently raised $500 million at a $40 billion valuation.

Trader sentiment toward XRP has been shifting into bullish territory on social media, according to market intelligence platform Santiment, and at the same time, the streak of inflows into the token’s exchange-traded funds has continued.

Retail traders are staying optimistic toward XRP (XRP) as it hovers around the $2 mark, with the week recording the seventh highest number of bullish comments for the year, Santiment said on Friday, citing data from its analytics platform Sanbase, which monitors social interest across cryptocurrency social channels, including Telegram, Discord, subreddits, and X.

“XRP’s bulls and bears continue to battle, and the asset is hanging on to a $2.00 market value for now. Sentiment is showing bullishness across social media,” Santiment said.

XRP has been drifting between $1.99 and $2.17 in the last seven days and is trading for $2.03 as of Saturday, according to crypto data aggregator CoinGecko, while analysts speculate bears are still very much in control of the price movements.

Optimism toward XRP on social media has been on the rise. Source: Santiment

XRP ETF inflow streak continues

Meanwhile, spot XRP exchange-traded funds (ETFs) continued a streak of positive flows, with over $20.1 million recorded on Friday, marking 19 consecutive days of net inflows, according to crypto research and investment platform SoSoValue.

The ongoing influx has pushed cumulative total inflows to nearly $974.5 million and the total assets under management (AUM) to about $1.18 billion.

Nov. 14 has still been the strongest day for XRP ETF inflows, with over $243 million. In the weeks since, Nov. 18 has been the weakest day, with only $8 million, and Nov. 18 has seen the second-highest intake with $164 million.

Related: Ripple seeks to buy $1 billion XRP tokens for new treasury: Report

Giannis Andreou, the founder and CEO of crypto miner Bitmern Mining, said in an X post at the start of the week that “Wall Street hasn’t stopped buying,” and he speculates it’s the “kind of accumulation you usually see before a narrative shift.”

Ripple building momentum toward end of year

Ripple was approved for a national trust bank charter by the US Office of the Comptroller of the Currency on Friday, along with stablecoin issuer Circle.

BitGo, Fidelity Digital Assets and Paxos also received the green light to convert their existing state-level trust companies into federally chartered national trust banks at the same time.

In November, Ripple raised $500 million at a valuation of $40 billion, attracting investors including affiliates of Citadel Securities and Fortress Investment Group. A month earlier, the crypto company pushed deeper into the stablecoin market and pursued acquisitions in brokerage and treasury management.

Magazine: Big questions: Would Bitcoin survive a 10-year power outage?

Трендові криптовалюти

Пов'язані матеріали

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit1 год тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit1 год тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit1 год тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit1 год тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit1 год тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit1 год тому

Торгівля

Спот

Популярні статті

Як купити GAIN

Ласкаво просимо до HTX.com! Ми зробили покупку GriffinAI (GAIN) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити GriffinAI (GAIN).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої GriffinAI (GAIN)Після придбання GriffinAI (GAIN) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля GriffinAI (GAIN)Легко торгуйте GriffinAI (GAIN) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

495 переглядів усьогоОпубліковано 2025.09.24Оновлено 2026.06.02

Як купити GAIN

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни GAIN (GAIN).

活动图片