Monad jumps 13% – Yet THESE red flags could cap MON

ambcryptoPubblicato 2026-02-11Pubblicato ultima volta 2026-02-11

Introduzione

Monad (MON) gained 13% amid broader crypto market pressure, driven by strong community support and a spike in trading volume exceeding $160 million. The rally was fueled by hype around the Nitro accelerator program, which offers funding and development opportunities for crypto projects. On-chain metrics showed growth in Total Value Locked (TVL) to $628 million and consistent DEX activity. However, technical indicators suggest weakening momentum, with a recent price rejection at the $0.01979 resistance level and declining capital flow. If the token fails to break above this level, it may retreat toward the $0.01679 support zone.

The crypto market remains under pressure, but a few tokens are showing resilience. Monad [MON] stood out over the past 24 hours, gaining about 13%, at press time.

CoinMarketCap data suggests that newer tokens with compelling narratives continue to attract attention. In MON’s case, strong community support and foundation backing have played a key role in driving this rally.

What’s driving Monad’s price?

First, Monad rallied after volume spiked by more than 140%, surpassing $160 million. This indicated there was strong, concentrated buying interest, thus overpowering the broader market’s selling pressure.

Moreover, sentimental talks filled the social spaces, driving Monad crypto once again. The introduction of the Nitro accelerator, which opened up opportunities for developers across all chains, sparked the hyped discussions.

As such, the accelerator would allow turning already-funded crypto projects into global products with actual reach. That way, the developer teams would receive about $500K in funding from top venture capital (VC) firms.

On the on-chain front, the Total Value Locked (TVL) has been rising since Monad’s launch on the 22nd of December. In fact, the TVL was at $628 million, which was a change of more than 4% to the upside.

The DEXs volume was slightly below $100 million, indicating consistent trading activity since late December. The Perps’ volume was dwarfed, though, at $3.32 million.

Additionally, the altcoin was enjoying the momentum in the stablecoin sector. For context, MON’s stablecoin market cap had grown past the $444 million mark.

Although the fundamentals and network activity demonstrated strength, the price action was divided in terms of direction bias.

Is MON price weakening?

On the 4-hour chart, MON price was trading in a sideways market. A single candle movement covered the range between $0.01679 and $0.01979, confirming the strength of the buying.

However, the trade back into the range immediately after the breakout was an indication of weakness. This signaled that the rally might not last.

For context, MACD bars were reducing in size while their color was fading as of writing. Additionally, the Chaikin Money Flow (CMF) was declining at -0.09. The two showed that momentum was fading and capital was leaving.

Hence, the question of whether Monad was headed toward the base of the consolidation. From a technical perspective, MON was trading toward the lower support at $0.01679.

On the other hand, successfully breaching $0.01979 would mean a shift in market structure. Otherwise, MON price stays in a bearish structure, with today’s move seeming weak.


Final Thoughts

  • Monad was up 13% following hype from the Nitro accelerator and network activity.
  • MON price broke above a range strongly but was immediately rejected, signaling momentum weakness.

Letture associate

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

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