Why XRP isn’t moving despite $1.2B in ETF demand

ambcryptoОпубліковано о 2025-12-22Востаннє оновлено о 2025-12-22

Анотація

Despite over $1.2 billion in inflows into XRP spot ETFs and consistent institutional demand, the price of XRP has remained relatively stagnant, trading near $1.94. This price action occurs alongside a notable increase in accumulation by large wallets (whales), whose supply has climbed back toward 12.8%. Technical indicators show the asset trading below key moving averages, with RSI at 43 and low buying pressure. The convergence of institutional and whale activity suggests a shift in market control and positioning for a potential future move, even though a bullish price breakout has not yet occurred.

Who holds the power in XRP? Lately, institutional money has moved in, and big wallets are also trying to take control again. And get this! This is all happening with price action that isn’t anything to write home about.

Here’s what you need to know.

ETFs set the tone

Spot XRP ETFs’ inflows have pushed total net assets past $1.2 billion. Even on mellow days, inflows have remained positive. The interest looks extremely consistent (though muted), rather than like a one-off spike.

The trend is interesting, though. Even with the big streak of green, Ripple’s [XRP] price has held near $1.90 instead of reacting impulsively. That’s a big buying sign, with institutions building exposure gradually to set a base.

Whales have some skin in the game

Santiment data indicated that wallets holding between 100 million and 1 billion XRP have begun increasing their share again. Whale supply has climbed back toward the 12.8% range after a brief decline earlier this month.

The move hasn’t been gradual. After dipping in mid-December, large-holder ownership spiked, so holding isn’t passive. They’re positioning.

When whales step in alongside institutional inflows, it means market control is shifting hands.

XRP is trying to steady itself

At the time of writing, XRP traded near $1.94, still below its key exponential moving averages (EMAs). The 20, 50, 100 and 200-day EMAs remained overhead, so the greater trend hadn’t yet flipped bullish.

That hesitation is visible in the momentum as well.

RSI was at around 43, with mild recovery but no strong buying pressure. OBV has also flattened after falling earlier in the month.

That means selling has reduced with no new demand. The MACD was below zero, too, though downside momentum appeared to be slowing.


Final Thoughts

  • XRP price is flat near $1.90, but $1.2B+ in ETF assets and rising whale supply mean holders aren’t deterred.
  • Control is shifting, even without a price breakout.

Трендові криптовалюти

Пов'язані питання

QDespite over $1.2 billion in ETF inflows, why hasn't XRP's price shown significant movement?

AThe article suggests that institutional money is building exposure gradually to set a base, which is a form of strategic accumulation rather than impulsive buying. This consistent but muted interest, combined with the fact that XRP's price is still below its key exponential moving averages, has resulted in a lack of strong upward price momentum.

QWhat does the recent activity of large XRP wallets (whales) indicate?

AData from Santiment shows that wallets holding between 100 million and 1 billion XRP have increased their share, with whale supply climbing back to around 12.8%. This spike in large-holder ownership after a mid-December dip indicates they are actively positioning themselves, not just passively holding.

QWhat do the technical indicators (RSI, OBV, MACD) reveal about XRP's current market momentum?

AThe RSI was around 43, showing mild recovery but no strong buying pressure. The On-Balance Volume (OBV) has flattened after a previous decline, indicating that selling has reduced but there is no new demand. The MACD was below zero, though its downward momentum appeared to be slowing.

QHow is 'market control' in the XRP ecosystem changing according to the article?

AMarket control is shifting as both institutional investors (via consistent ETF inflows) and large wallet holders (whales) are increasing their positions. This coordinated activity means that power is consolidating among these larger players, even though the price has not yet broken out.

QWhat is the overall sentiment of holders despite the flat price action near $1.90?

AHolders are not deterred. The significant ETF assets exceeding $1.2 billion and the rising supply held by whales demonstrate strong conviction and a long-term positioning strategy, suggesting confidence in XRP's future despite the current lack of price movement.

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.

marsbit36 хв тому

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

marsbit36 хв 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.

marsbit41 хв тому

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

marsbit41 хв 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.

marsbit41 хв тому

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

marsbit41 хв тому

Торгівля

Спот

Популярні статті

Як купити T

Ласкаво просимо до HTX.com! Ми зробили покупку Threshold Network Token (T) 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 Threshold Network Token (T).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 Threshold Network Token (T)Після придбання Threshold Network Token (T) 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 Threshold Network Token (T)Легко торгуйте Threshold Network Token (T) 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.

561 переглядів усьогоОпубліковано 2024.12.10Оновлено 2026.06.02

Як купити T

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 T (T).

活动图片