Ethereum (ETH) Momentum Check: Will $2.9K Hold or Break?

TheNewsCryptoPublished on 2025-12-19Last updated on 2025-12-19

Abstract

Ethereum (ETH) is experiencing mixed signals amid a slight market uptick. While it gained over 3.73% in 24 hours, trading between $2,777 and $2,994, it remains under downside pressure. Currently trading around $2,959, its market cap is $356.61 billion with a 44.72% surge in daily volume to $37.15 billion. Technical indicators show bearish momentum with MACD below zero, but mild buying pressure is noted with a CMF of 0.06. Key support lies at $2,947; a break below could lead to further declines, while a bullish push might test resistance at $2,971. A breakout could drive prices toward $2,983. The Bull Bear Power indicates bullish dominance, but RSI at 52.40 suggests neutral momentum, reflecting a consolidation phase.

A brief 1.19% uptick in the market cap has triggered it to reach $2.97 trillion. This has resulted in mixed signals across the crypto assets, sending the prices up and down. The largest asset, Bitcoin (BTC), is attempting to enter the bullish zone and escape from the bear grip. Meanwhile, Ethereum (ETH), the largest altcoin, has been under prolonged downside pressure.

The asset has posted a gain of over 3.73% in the last 24 hours. Today’s low and high ranges of ETH were marked at around $2,777.12 and $2,994.55. If the bulls steadily gained strength, they could form a bullish trend line. On the attempts failing, the price movement may end up losing more momentum in the market.

At the time of writing, Ethereum traded within the $2,959 range, with the market cap at $356.61 billion. Additionally, the daily trading volume of the asset has soared by over 44.72%, reaching the $37.15 billion mark. As per Coinglass data, the market has experienced a 24-hour liquidation of $158.28 million worth of Ethereum.

Can Ethereum Flip Momentum and Break Higher?

Ethereum’s Moving Average Convergence Divergence (MACD) line and the signal line are below the zero line, pointing out bearish momentum. Notably, the short-term price trend is weaker than the longer-term trend. Besides, the Chaikin Money Flow (CMF) indicator at 0.06 hints at mild buying pressure in the ETH market. The money is flowing into the asset, showing early accumulation, but not strong enough to confirm a solid uptrend.

With the ongoing downside correction, the Ethereum price could retrace to the support zone at $2,947. A potential bearish pressure might trigger the death cross to take place, and send the price below the $2,935 range. Conversely, if Ethereum momentum turns bullish, it might rise and find the resistance at the $2,971 level. A breakout could likely initiate a strong upside shift, and the golden cross would unfold to drive the price toward $2,983.

Moreover, the Bull Bear Power (BBP) reading of ETH at 101.29 indicates strong bullish dominance in the market, reflecting upside momentum. Higher readings can signal the overextension condition. Ethereum’s daily Relative Strength Index (RSI) resting at 52.40 suggests neutral momentum. Significantly, neither the buyers nor the sellers are in clear control, but this is often seen during the consolidation phases.

Top Updated Crypto News

Bitcoin Cash (BCH) Momentum Builds: Could $600 Be Hit by Day’s End?

TagsAltcoinCryptocurrencyETHETH PriceETHEREUM

Related Questions

QWhat is the current trading range of Ethereum (ETH) as mentioned in the article?

AAt the time of writing, Ethereum traded within the $2,959 range.

QWhat does the Chaikin Money Flow (CMF) indicator value of 0.06 suggest about the ETH market?

AA CMF value of 0.06 hints at mild buying pressure in the ETH market, indicating that money is flowing into the asset and showing early accumulation, but it is not strong enough to confirm a solid uptrend.

QAccording to the technical indicators, what is the significance of Ethereum's MACD and signal lines being below the zero line?

AThe Moving Average Convergence Divergence (MACD) line and the signal line being below the zero line point out a bearish momentum, indicating that the short-term price trend is weaker than the longer-term trend.

QWhat are the potential price targets for Ethereum if the momentum turns bullish, according to the analysis?

AIf Ethereum's momentum turns bullish, it might rise and find resistance at the $2,971 level. A breakout could initiate a strong upside shift, potentially driving the price toward $2,983.

QWhat does the Bull Bear Power (BBP) reading of 101.29 indicate for Ethereum's market?

AA Bull Bear Power (BBP) reading of 101.29 indicates strong bullish dominance in the market, reflecting upside momentum. However, higher readings can also signal an overextension condition.

Related Reads

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit12h ago

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit12h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit14h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit14h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit14h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit14h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片