Ethereum Plunges 5%: Key $2,000 Support Under Threat

As of February 10, 2026, according to CoinMarketCap data, Ethereum (ETH) is trading at $2,008.82, down 5.27% in the past 24 hours, marking a weekly loss of 11.08%.

Daily trading volume fell to $24.32 billion, a 13.29% decrease. The sharp pullback reflects heightened market caution and signals a critical test for near-term support levels.

Ethereum Order Book Heatmap Insights

In X post, Crypto analyst Ted observed that Ethereum holds significant liquidity between $2,200 and $2,400. “ETH could see upward momentum if it surpasses $2,150, but dense sell orders in this zone may restrict gains,” he said.

Traders and investors are closely watching whether the $2,000–$2,050 range will act as a stabilizing floor or if selling pressure intensifies.

Order book heatmaps indicate a clear downtrend from late January through early February. Prices have fallen from above $3,000 to between $1,800 and $2,100. Bright horizontal bands highlight dense order clusters, signaling strong resistance in the $2,100–$3,200 range and moderate support near $1,800–$2,100.

On February 6, ETH briefly dipped to $1,800 before stabilizing, suggesting buyers defended this zone. Analysts interpret these levels as critical for short-term price stability, helping traders gauge potential rebounds or continued declines.

Vitalik Buterin Proposes AI-Blockchain Framework

Beyond market movements, Ethereum co-founder Vitalik Buterin has proposed an updated framework for integrating blockchain with artificial intelligence.

In a post on X, he emphasized that Ethereum’s role is less about creating artificial general intelligence (AGI) and more about enabling decentralized, privacy-focused, and trustless interactions between AI systems.

Buterin outlined practical near-term applications: client-side verification, cryptographic payment mechanisms for AI services, and on-chain coordination for AI agents.

He also highlighted governance use cases, including prediction markets and decentralized voting systems, which could leverage AI to enhance efficiency while reducing centralization risks.

This approach, described as “defensive acceleration,” focuses on strengthening decentralized cooperation and societal resilience. Buterin’s vision positions Ethereum as both an infrastructure layer and a governance tool for practical, AI-integrated blockchain applications.

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