Ethereum (ETH) fell below the $2,500 mark, posting an intraday gain of 0.79%.

According to HTX market data, Bitcoin has fallen below $79,000, currently trading at $78,999.99, with a 0.99% decline in the past 24 hours.

According to EmberCN’s monitoring, crypto whale Garrett Jin has not halted his ZEC shorting activities. He recently added 7,000 ZEC short positions at around $1,195 apiece, totaling roughly $8.4 million, further lifting his overall average short entry price. After this position increase, the entity’s total ZEC short positions stand at 39,760, with a nominal value of about $47 million. As the additional positions were added at a high price level, his overall average short price has risen from the previous $444 to approximately $576.3. Calculated based on current market conditions, the floating loss on his ZEC short positions has reached around $24 million.

From Beating AI Express: A report by The Information reveals Anthropic has secured at least 14.8GW of new compute capacity over the past 11 months, with deployment scheduled over the coming years. Based on current public contract estimates, the potential total cost could reach a maximum of $517 billion, with most expenditures set to occur over the next decade. Adding the 1–2GW of capacity it had locked in prior to last October, Anthropic’s total contracted compute capacity stands at roughly 16GW. This expansion is primarily driven by demand for its Claude AI models. This year, growth in Claude Code and Claude Cowork exceeded Anthropic’s expectations, prompting the company to aggressively secure compute resources. Under new agreements, Amazon will provide up to 5GW, while Google and Broadcom will supply another 5GW; Microsoft and NVIDIA will contribute up to around 1GW. Anthropic also leased all compute capacity of SpaceX’s Colossus 1, gaining access to more than 220,000 NVIDIA GPUs at once, including H100, H200, and GB200 models. Even with this massive investment, Anthropic’s compute plans may still lag behind OpenAI’s. Anthropic has locked in approximately 16GW, with many contracts extending beyond 2030. OpenAI has set a target of reaching 30GW by 2030, and projects cumulative compute investments of roughly $750 billion by that year. The $517 billion figure is The Information’s estimated maximum potential cost based on existing cloud, chip, and data center contracts. Some compute capacity may be delayed or unused, and certain contracts allow for early cancellation.

CryptoQuant analyst Darkfost wrote in a post that Bitcoin has recently experienced the most severe deleveraging cycle since 2023. In a market long dominated by futures trading volume, Binance’s Open Interest (OI) has dropped significantly, once falling below its 180-day moving average, a sign of the intensity and speed of this deleveraging process. Darkfost argues this process is necessary for Bitcoin. As prices corrected, the market forced previously over-sized long and short positions to be closed or liquidated. This cycle also saw one of the largest liquidation events in Bitcoin’s history. However, despite the sharp deleveraging, Binance’s current Open Interest stands at around $9.6 billion, higher than the 180-day average of roughly $8.3 billion, accounting for about 37% of Bitcoin’s total network-wide Open Interest. This level is even higher than during the May market rally, when BTC briefly rebounded to $82,000. Darkfost points out that while this adjustment has dealt a clear blow to traders, leveraged funds have seemingly quickly returned to the market, becoming one of the key drivers of BTC’s recent rebound. That said, current market leverage levels remain elevated, and if leverage accumulates excessively again in the future, it could still trigger another round of sharp deleveraging.

Serenity released a report stating that Samsung and SK Hynix’s memory inventories have fallen to less than 10 days of supply, with a potential severe shortage next year. KB Securities forecasts the memory market could face "the tightest supply conditions in history" in 2027. In this regard, Serenity pointed out that KB Securities projects the proportion of memory costs in AI infrastructure spending will rise from around 40% this year to 57% next year, while TrendForce’s forecast is even higher at 68%. Meanwhile, related storage stocks have dropped roughly 38% from their highs over the past three months, and their price-to-earnings ratio has fallen to around 3 times based on next year’s expected earnings. On the NAND front, market commentary surrounding Phison also points to extremely tight supply in 2027. Serenity noted that the surge in NAND prices has forced some Chinese consumer-grade storage module makers to clear inventories, creating an opportunity for Phison to purchase stock at low prices—illustrating that localized price declines and overall supply shortages can coexist. Serenity said that against the backdrop of growing AI demand and storage’s rising cost share in AI infrastructure, South Korean storage stocks and U.S.-listed related companies including Micron (MU) and SanDisk (SNDK) may benefit from 2027’s supply-demand tightness and growth in infrastructure spending.