Crypto Trader CBB (X: @Cbb0fe) continued to increase short positions on NVIDIA (NVDA) mapping contracts before the U.S. stock market closed this morning, raising holdings from $15.8 million to $18.6 million, with an average price of $188. The unrealized profit has expanded to $1.25 million. Additionally, CBB is also shorting AI industry chain targets such as MU and SNDK, with related short positions totaling $30 million.
(Background: Crypto KOLs collectively defect to U.S. stocks! A survey of 120 people reveals the harsh truth: AI, military, and rare earths are the new battlegrounds)
(Additional context: Trump plans to completely ban Anthropic! Refuses to modify Claude’s “murder restrictions,” and surprisingly, OpenAI has publicly supported this)
CBB is a well-known trader and on-chain player in the crypto community, with about 100,000 followers on X. He gained widespread attention for organizing a massive BTC short whale event in 2025, involving hundreds of millions of dollars. Now, this former “short hunter” has turned into a major short seller, shifting his focus from the crypto market to the AI industry chain.
According to address monitoring by Coinbob, CBB has been increasing short positions on NVDA mapping contracts on the Hyperliquid platform, raising holdings from $15.8 million to $18.6 million, with an average price of $188. Based on NVIDIA’s current stock price of around $177, this short position has an unrealized profit of about $1.25 million.
NVDA is not CBB’s only short target. He has also simultaneously established a basket of short positions on AI supply chain stocks such as MU (Micron) and SNDK (SanDisk), with total holdings reaching $30 million, indicating a systemic bet on a correction across the entire AI hardware supply chain.
CBB’s short positioning aligns closely with recent market sentiment. According to CNBC, NVIDIA’s Q4 earnings report released on February 26 exceeded expectations in revenue and EPS, but the stock plummeted over 5% after hours, wiping out about $260 billion in market value in a single day.
The core concern in the market is: The Mag 7 companies are expected to spend over $680 billion on AI capital expenditures by 2026, but these massive investments have yet to translate into actual profits. The question of whether this “all-in, no-recovery” model is sustainable has become Wall Street’s biggest doubt. Investors are also worried that clients like OpenAI might slow down procurement, further dampening revenue prospects for the next one or two quarters.
Related Articles
Segregated Witness (SegWit) Explained: Upgrade That Redefined Bitcoin for Mass Adoption