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ChainCatcher reports that CryptoQuant analyst Darkfost stated that since June, Bitcoin has fallen by 14%, with the recent correction clearly accelerating. The BTC inflow of whales (single transactions exceeding 100 BTC) on a certain exchange platform has surged sharply, recording a peak of about 8,200 BTC on June 2, and then more than 6,400 BTC on June 4. The monthly average of whale inflows on a certain exchange has risen from about 1,200 BTC in mid-April to more than 2,800 BTC now, more than doubling within a few weeks. This indicates that the correction is prompting whales to transfer BTC back to exchanges with the intention to sell, but this behavior seems more like emotional risk management than strategic decision-making. The last time whale inflows reached such a level was in February when Bitcoin dropped below $60,000, which will bring additional selling pressure in the short term.

According to 动察 Beating monitoring, against the backdrop of leading large model companies collectively racing towards the secondary market, Anthropic president and co-founder Daniela Amodei provided an in-depth explanation of the fundamental capital logic behind the company’s decision to confidentially file for an IPO at the Bloomberg Tech Conference on June 4. She made it clear that, for large model companies, going public is no longer a traditional late-stage cash-out exit, but rather a necessary financing option to meet the extreme consumption of computing power.Amodei emphasized that cutting-edge AI research faces a “double black hole” of funding: on one hand, the massive upfront investment needed to train advanced large models; on the other hand, the ongoing operational expenses generated by providing inference services to users, which are also extremely high as the user base explodes. She predicted that as competition in large models enters deep waters, only a handful of “core large model enterprises” will remain in the first echelon to advance the frontier of technology. The capital gap for computing power needs in these companies already exceeds the limits of private VC investment, and only a public market with deep liquidity can support this scale of capital consumption.This rationale for going public is also closely related to Anthropic’s unique “asset-light” approach to computing power. Unlike OpenAI and xAI, which are investing massively in building their own data centers, Anthropic insists on not building data centers and instead flexibly leases external computing resources (such as leasing capacity from SpaceX/xAI). Amodei explained that the demand for large models is extremely hard to predict precisely; the company would rather remain in a slightly tight position where product demand slightly exceeds computing supply, than bear the high idle depreciation costs of self-built data centers. By raising a strong cash reserve through an IPO, Anthropic can avoid tying itself down with heavy assets while maintaining sufficient liquidity to flexibly procure computing power and withstand market fluctuations.

They stated that these strategists remain bearish on German government bonds and prefer to sell on rallies rather than buy on dips. They said: "The energy crisis is dampening growth prospects in the eurozone, thus anchoring the level reflecting medium-term European Central Bank rate expectations around 2.50% and maintaining value in the middle segment of the euro yield curve." According to data from London Stock Exchange Group, current money markets reflect expectations of an approximately 63 basis points rate hike by the European Central Bank this year, with a 25 basis points hike at the June 11 meeting fully priced in.