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

ambcryptoPublicado a 2025-12-22Actualizado a 2025-12-22

Resumen

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.

Criptos en tendencia

Preguntas relacionadas

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.

Lecturas Relacionadas

You Use Claude and Codex Every Day, but Meta Has Restricted Internal Use

In May, Meta imposed internal restrictions on its engineers regarding the use of Claude Code and Codex, two widely used AI programming tools. Despite being a major client, Meta's guidelines, still in effect, prohibit these external models from being used for specific tasks to prevent potential "escalations with partners." The core concern is "distillation"—the risk that outputs from Claude or Codex could inadvertently contaminate the training data and evaluation processes for Meta's in-house AI coding assistant, MetaCode. If MetaCode is trained or evaluated using data generated by these external models, it risks learning their capabilities rather than developing its own, blurring the line of intellectual origin. The restrictions are precise: engineers cannot use the external models to generate test questions, debug source code, or suggest test cases. AI-generated content is also barred from environments accessible to MetaCode. However, AI can still assist with peripheral tasks like workflow setup and code organization, provided all outputs are manually reviewed. This caution reflects a broader industry dilemma. While distillation is a common technique, using a competitor's model output for training raises legal and ethical questions about the ownership of derived capabilities. Contractual terms from companies like OpenAI and Anthropic explicitly forbid using their outputs to build competing products, putting enforcement power in the hands of rivals. The move is also financially motivated, as Meta seeks to reduce its hefty internal AI spending, estimated in the billions this year. Meta's policy illustrates the delicate balance companies must strike: leveraging powerful external AI tools while safeguarding the integrity and independence of their own AI development. As AI systems increasingly help build other AIs, distinguishing the origin of capabilities becomes a fundamental challenge for the entire industry.

marsbitHace 19 min(s)

You Use Claude and Codex Every Day, but Meta Has Restricted Internal Use

marsbitHace 19 min(s)

Why Do We Need an AI Content Perspective Today?

The article "Why Do We Need an AI Content Perspective Today?" explores the complex and often contentious integration of AI into the cultural and creative industries, particularly film and television. It begins with the cancellation of Amazon's AI-generated animation "Punky Duck," highlighting the ethical debates surrounding AI content. AI's rapid advancement is transforming video production, enabling cost-effective, full-length AI films (e.g., "RAPHAEL," "Dreams of Violets") while sparking industry resistance over issues like "synthetic actors." The core debate has shifted from whether to use AI to how to use it responsibly. The article analyzes why AI's entry into film is uniquely unsettling. It distinguishes between "cultural fast food" (short-form, fast-paced content like micro-dramas) and "cultural main courses" (traditional, long-form film/TV). AI currently excels at the former, matching its fragmented narratives, shallow emotional needs, and free-to-consumer models. However, venturing into the latter challenges the human-centric essence of storytelling—creativity, emotional depth, and the unique value of human labor and experience. While AI can generate massive volumes of content and lower costs, it risks devaluing human creativity, leading to homogenized output, and creating unfair competition through potential intellectual property infringement. Its efficiency also amplifies content safety risks, making preemptive governance crucial. To counter these risks, the article proposes establishing clear boundaries guided by a human-centered AI content perspective. It outlines four principles: 1) Amplify, rather than displace, human creative space; 2) Respect and protect human creative output; 3) Ensure human creative control and responsibility remain paramount; and 4) Guarantee transparency and traceability in AI creation. The conclusion emphasizes that humans must act as the "helmsmen" of technology, steering AI development to enhance, not replace, the core human values at the heart of cultural expression.

marsbitHace 45 min(s)

Why Do We Need an AI Content Perspective Today?

marsbitHace 45 min(s)

Planck Retracted? The Father of Quantum Tripped by an Algorithm

The recent discovery that two articles (published in 1940 and 1942) by Max Planck, the Nobel laureate and founder of quantum theory, are marked as "retracted" on Springer's digital platform highlights a curious clash between historical publishing practices and modern automated systems. An investigation suggests these retractions are algorithmic errors, not due to fraud or misconduct. The papers, philosophical reflections on science published in *Die Naturwissenschaften*, were likely flagged by the platform's systems. One article, a republished lecture, may have been mistaken for duplicate publication. Another, sharing a title with a prior article by a different author (a common practice for continuing debates at the time), may have triggered a similar automated check. The digital versions have even been replaced with blank pages, contrary to normal practice of preserving retracted texts. This incident underscores how contemporary digital infrastructure, built around concepts like "self-plagiarism" and strict copyright, can misclassify and obscure legitimate historical scholarly communication. It serves as a warning that digital archives are not neutral mirrors of the past but are filtered by platform rules, potentially distorting the scientific record. As AI systems increasingly rely on such databases, such erroneous metadata could propagate, affecting how future tools interpret and access historical knowledge.

marsbitHace 48 min(s)

Planck Retracted? The Father of Quantum Tripped by an Algorithm

marsbitHace 48 min(s)

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

The AI community is currently alarmed by widespread reports of significant performance degradation in two leading models. This article details a "mass self-testing frenzy" triggered by a mysterious prompt designed to detect a hidden "Juice" value, representing a model's reasoning compute budget. On OpenAI's side, users suspect a covert, limited test of a "GPT-5.6-sol" model is underway. When using a specific XML prompt on the Codex platform, a normal "gpt-5.5 xhigh" model reportedly returns a Juice value of 768. However, some users routed to the suspected GPT-5.6 test receive a drastically reduced value of 128—a six-fold decrease. This has sparked debate on whether it signifies a major efficiency leap or a "watered-down, low-cost version" achieved by slashing reasoning depth to save computational expenses. Simultaneously, Anthropic's Claude models, particularly the flagship Opus 4.8 Max, are facing intense user backlash for a perceived "physical brain cut." Users on platforms like Reddit report a dramatic decline in the model's once-impressive reasoning, with complaints of it becoming "absurdly" weakened, performing worse than older, lighter models like Haiku. Specific criticisms include: losing long-context memory, refusing to think deeply even in high-reasoning modes, providing instant incorrect answers, and engaging in unhelpful, argumentative, or "gaslighting" behavior where it contradicts users unnecessarily. The article speculates these "stealth downgrades" might be a calculated corporate strategy. Companies could initially release models with temporarily boosted compute to create an illusion of a major breakthrough, then silently scale back parameters later to manage unsustainable inference costs. A proposed underlying cause is a tightened funding environment, potentially exacerbated by SpaceX's massive IPO soaking up market liquidity, which could delay AI company IPOs and force cost-cutting measures like model "nerfing." The core issue highlighted is the asymmetry of information: subscribers pay for a service that can be silently and fundamentally altered without notification or explanation. The viral "Juice test" resonates because it represents users' desire for transparency about what they are actually paying for.

marsbitHace 1 hora(s)

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

marsbitHace 1 hora(s)

Trading

Spot

Artículos destacados

Cómo comprar T

¡Bienvenido a HTX.com! Hemos hecho que comprar Threshold Network Token (T) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Threshold Network Token (T) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Threshold Network Token (T)Después de comprar tu Threshold Network Token (T), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Threshold Network Token (T)Tradear fácilmente con Threshold Network Token (T) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

631 Vistas totalesPublicado en 2024.12.10Actualizado en 2026.06.02

Cómo comprar T

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de T (T).

活动图片