Avalanche: Can AVAX’s 25% volume surge break its multi-year downtrend?

ambcryptoPubblicato 2026-02-20Pubblicato ultima volta 2026-02-20

Introduzione

Avalanche (AVAX) showed signs of recovery with a 25% surge in trading volume, reaching $248.87 million, as the price approached a key descending trendline formed after a major selloff in October. Despite forming a bullish MACD crossover and improved RSI, the token remained below the critical resistance level. Both spot and futures markets indicated aggressive buying activity, suggesting underlying demand. However, the broader structure remained bearish, with the multi-year downtrend still acting as strong resistance. A weekly close above this trendline is necessary to confirm a potential trend reversal. Until then, AVAX remains within a larger bearish framework.

After months of losses, altcoins have begun showing signs of recovery, with Avalanche [AVAX] among them

On the 20th of February 2026, AVAX saw renewed activity as volume climbed 25 percent to $248.87 million. It traded around $9.25, pushing into the descending trendline formed after the October 10 crash. That violent selloff marked the start of a prolonged grind lower.

Since that crash, the descending resistance repeatedly rejected every recovery attempt. Meanwhile, $7.29 acted as key structural support and remained the level bulls could not afford to lose.

With price pressing resistance again, the real question was whether momentum finally had the strength to break it.

MACD forms a bullish crossover

On the daily chart, AVAX formed a bullish MACD crossover as it approached the downtrend channel from October’s crash. The histogram turned slightly positive, signaling short‐term momentum shifting away from bearish control.

At press time, RSI climbed toward 42, recovering from recent lows but still below 50. Therefore, momentum improved, yet it had not fully transitioned into bullish territory. AVAX remained directly under resistance, which limited the impact of the crossover.

Leverage market analysis

Spot Taker Buy Dominance stayed elevated on Cumulative Volume Delta, according to CryptoQuant, reflecting aggressive market buying.

Moreover, Futures Taker Buy Dominance also remained elevated, showing participation across leveraged markets.

This combination suggested active demand rather than passive bidding. However, despite strong taker activity, the price failed to decisively reclaim the descending resistance.

As a result, buyer aggression had not yet translated into structural change. However, the data implied accumulation was developing beneath price action. Only a structural breakout could validate that buildup.

Will AVAX break its the multi-year downtrend?

On the weekly chart, the multi-year downtrend continued to act as macro resistance. Every major rally since 2021 had stalled beneath this ceiling. This meant AVAX had remained in a bear market since 2021.

Weekly RSI remained near 31.78 and below its moving average, signaling weak momentum. Weekly MACD stayed below zero with a slightly negative histogram. Therefore, the broader structure remained bearish despite short-term improvement on lower timeframes.

Looking ahead, a weekly close above the multi-year downtrend would be required to confirm a shift. Until that happened, Avalanche remained within a larger bearish framework.


Final Summary

  • Elevated taker dominance and rising volume showed participation, not confirmation.
  • A weekly reclaim of macro resistance remained the defining requirement for trend reversal.

Domande pertinenti

QWhat was the percentage increase in Avalanche (AVAX) trading volume on February 20th, 2026, and what was the resulting volume?

AAVAX saw a 25% increase in trading volume, reaching $248.87 million.

QWhat key technical indicator on the daily chart showed a bullish signal as AVAX approached the downtrend resistance?

AThe MACD formed a bullish crossover on the daily chart, and its histogram turned slightly positive.

QAccording to the analysis, what does the elevated Spot and Futures Taker Buy Dominance suggest about market activity?

AIt reflects aggressive market buying and participation across leveraged markets, suggesting active demand rather than passive bidding.

QWhat is the critical level that AVAX must reclaim on the weekly chart to confirm a shift from its multi-year bearish trend?

AAVAX needs a weekly close above the multi-year downtrend resistance to confirm a trend reversal.

QDespite short-term improvements, what do the weekly RSI and MACD readings indicate about AVAX's broader market structure?

AThe weekly RSI remained near 31.78 (signaling weak momentum) and the weekly MACD stayed below zero, indicating the broader structure remained bearish.

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.

marsbit1 h fa

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

marsbit1 h fa

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.

marsbit2 h fa

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

marsbit2 h fa

Trading

Spot
Futures
活动图片