Is A Bitcoin Christmas Rally Possible? Why Price Could Crash To $80,000

bitcoinistPublicado a 2025-12-26Actualizado a 2025-12-26

Resumen

Bitcoin (BTC) is trading downward near $87,000, but analyst RBswingtrader suggests a Christmas rally is still possible, though a further crash to $80,000—or even $74,185—could occur first. The analyst identifies an Elliott Wave structure with a corrective pattern, noting key supports at $87,106, $86,169, and $83,986. A breakdown could trigger deeper losses. However, growing accumulation volume and a bullish RSI divergence hint at potential upward momentum. Reclaiming the $96,690–$96,836 Fibonacci level may support a rally back toward $108,519.

It’s the holiday season, and Bitcoin (BTC) is trading downwards after plunging toward the $87,000 region. Although the cryptocurrency has struggled for months, failing to reclaim key resistance levels, a crypto analyst believes Bitcoin could still stage a major Christmas rally. As the analyst outlines a potential roadmap for this projected upswing, he cautions that a further price crash to $80,000, or even lower, remains a strong possibility.

Bitcoin Risks Crash To $80,000

Crypto analyst RBswingtrader shared a Bitcoin market outlook on X the day before Christmas, outlining multiple scenarios that could determine whether the cryptocurrency resumes an upward trend or faces further downside. The analyst noted that smart money is currently buying Bitcoin in a new zone and also cautioned that a final price crash, potentially driven by market manipulation, could occur before a trend reversal.

According to his analysis, Bitcoin could still decline to a fresh local low around $80,000 before strong buyers enter the market. The analyst stressed the importance of patience, viewing this potential dip as part of a broader accumulation strategy.

He shared a chart highlighting BTC trading under a declining orange Moving Average (MA) after a sharp selloff from the $108,519 resistance zone. The analyst noted that the cryptocurrency’s price had previously failed at the upper range and rolled over into a strong downtrend that has persisted for weeks.

RBswingtrader further pinpointed a clear Elliott Wave structure on the BTC chart, with waves labeled from one through five, followed by an ABC corrective pattern. Wave 3 accelerated Bitcoin’s selloff, while Wave 5 appears to be developing, with downside targets still open. Multiple key support levels were also highlighted, including $87,106, $86,169, and $83,986.

The analyst warned that a deeper breakdown from these support levels could open the door to a potential crash toward $80,427, with an extended lower target near $74,185 if Bitcoin’s selling pressure intensifies. He also plotted multiple Fibonacci retracement levels that align with the lower support zones for the BTC price.

Notably, the volume data at the bottom of the chart indicates a large accumulation trend through December. Increased trading activity supports the view that large players are taking advantage of dips and building positions despite Bitcoin’s weak price action.

Is A Christmas Rally Still Possible For BTC?

In RBswingtrader’s chart, a potential Christmas rally for Bitcoin was illustrated with an upward projection targeting the $108,519 region if the price recovers from its current lows. The chart indicated that growing accumulation volume this December and the Bullish Divergence in the Relative Strength Index (RSI) could support upward momentum.

RBswingtrader also noted that reclaiming key technical levels, including the 0.5 Fibonacci Retracement near $96,690-$96,836, could support Bitcoin’s potential upward move. At the time of writing, the leading cryptocurrency is trading around $87,669.

BTC fails to hold $89,000 | Source: BTCUSD on Tradingview.com

Criptos en tendencia

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

Preguntas relacionadas

QAccording to the analyst RBswingtrader, what is the potential downside target for Bitcoin if selling pressure intensifies?

AThe analyst warned that if selling pressure intensifies, Bitcoin could experience a deeper breakdown toward $80,427, with an extended lower target near $74,185.

QWhat technical indicator, mentioned in the growing accumulation volume, is cited as a potential support for upward momentum in a Christmas rally?

AA Bullish Divergence in the Relative Strength Index (RSI) is cited as a potential support for upward momentum, alongside the growing accumulation volume.

QWhat key Fibonacci Retracement level does the analyst say needs to be reclaimed to support a potential upward move for Bitcoin?

AThe analyst noted that reclaiming the 0.5 Fibonacci Retracement level near $96,690-$96,836 could support Bitcoin's potential upward move.

QWhat market behavior does the volume data at the bottom of the chart indicate is happening through December?

AThe volume data indicates a large accumulation trend, suggesting that large players are taking advantage of price dips to build positions despite Bitcoin's weak price action.

QWhat classic technical analysis pattern did the analyst identify on the Bitcoin chart, and what were its components?

AThe analyst identified a clear Elliott Wave structure with waves labeled one through five, which was followed by an ABC corrective pattern.

Lecturas Relacionadas

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

NVIDIA's Rubin Ultra, the top-tier variant of the newly announced Rubin AI accelerators, has reportedly seen significant specification downgrades, according to an industry report from SemiAnalysis. Initially designed with four compute dies (4-die), the Rubin Ultra is now said to be reduced to a 2-die design. Key changes highlighted in the report include: * **No increase in peak theoretical compute performance**, remaining at 35 PFLOPs like the standard Rubin. * **Severe reduction in memory capacity** to 192GB using 8-Hi HBM stacks, which is less than the standard Rubin's 288GB using 12-Hi stacks. * **Negligible memory bandwidth improvement** of only 1 TB/s. * **Slightly higher chip-level power consumption**. * The **primary upgrade is a massive increase in scale-up interconnect capacity**, supporting connections for up to 576 GPUs via NVLink, compared to 72 for the standard Rubin. The report suggests the redesign is primarily a cost-optimization move driven by the sharp rise in HBM (High-Bandwidth Memory) prices. By reducing the expensive HBM content and shifting investment towards enhanced system-scale networking, NVIDIA aims to maintain the platform's value for large-scale AI training clusters while managing soaring material costs. The news reportedly triggered a sell-off in South Korean memory stocks, with SK Hynix and Samsung shares falling around 8%, as markets grew concerned that NVIDIA—a major HBM buyer—might be reducing its reliance on high-capacity memory, potentially capping future pricing power for memory makers.

Odaily星球日报Hace 11 min(s)

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

Odaily星球日报Hace 11 min(s)

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinistHace 1 hora(s)

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinistHace 1 hora(s)

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbitHace 1 hora(s)

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbitHace 1 hora(s)

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbitHace 1 hora(s)

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbitHace 1 hora(s)

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbitHace 1 hora(s)

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbitHace 1 hora(s)

Trading

Spot

Artículos destacados

Cómo comprar O

¡Bienvenido a HTX.com! Hemos hecho que comprar O1 exchange (O) 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 O1 exchange (O) 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 O1 exchange (O)Después de comprar tu O1 exchange (O), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear O1 exchange (O)Tradear fácilmente con O1 exchange (O) 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.

509 Vistas totalesPublicado en 2026.06.19Actualizado en 2026.06.29

Cómo comprar PROS

¡Bienvenido a HTX.com! Hemos hecho que comprar Pharos (PROS) 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 Pharos (PROS) 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 Pharos (PROS)Después de comprar tu Pharos (PROS), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Pharos (PROS)Tradear fácilmente con Pharos (PROS) 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.

518 Vistas totalesPublicado en 2026.06.22Actualizado en 2026.06.29

Qué es VERONA

I. Introducción al Proyecto VERONA es una blockchain construida para todos, en todas partes a través de la abstracción de cadenas. Utilizando su capa de Abstracción Generalizada, VERONA se distingue por integrar funcionalidades complejas de blockchain, como cuentas, firmas e interoperabilidad, directamente a nivel de protocolo. Este enfoque permite interactuar con aplicaciones de blockchain sin necesidad de entender las tecnologías subyacentes.1) Información Básica Nombre: VERONA (VERONA)III. Enlaces Relacionados Enlace al sitio web oficial: https://xion.burnt.com/ Libro Blanco: https://xion.burnt.com/whitepaper.pdf Exploradores: https://explorer.burnt.com/ Redes Sociales: https://x.com/burnt_xion Nota: La introducción del proyecto proviene de los materiales publicados o proporcionados por el equipo oficial del proyecto, que es solo para referencia y no constituye asesoramiento de inversión. HTX no se hace responsable de ninguna pérdida directa o indirecta resultante.

597 Vistas totalesPublicado en 2026.06.22Actualizado en 2026.06.22

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 A (A).