News linked to both this project and an event.
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
Odaily News, Strategy Executive Chairman Michael Saylor said at the company's Q2 earnings call that while the company has previously allocated nearly "100% of its funds to Bitcoin," it may adopt a combined strategy of holding both cash and BTC going forward. He stated, "Perhaps the best way to buy the most Bitcoin is not to buy the most Bitcoin immediately."TD Cowen and Benchmark both maintained their Buy ratings on Strategy following the Q2 earnings call. The two firms believe that the core goal of the company's current management has shifted toward bringing its STRC preferred stock price back to near par value, thereby restoring its ability to function as a financing tool.TD Cowen analyst Lance Vitanza said the most important takeaway from the call was management's strong focus on STRC. Company executives repeatedly emphasized that restoring STRC to par value is the core objective, and noted that despite recent price deviations in the security, institutional adoption continues to rise.Benchmark analyst Mark Palmer holds a similar view. He pointed out that Saylor and his team spent most of the 90-minute call focused on the same goal: restoring STRC to the $99–$100 range, making it once again the primary engine for the company to raise capital and purchase Bitcoin.
the whale "First Set Ten Big Goals" posted on platform X, stating that after closing their short position, they quickly re-established a long position because their medium-to-long-term outlook has not changed. They believe the key demarcation zone of the previous bull market was around $60,000, and currently, the mainstream mining cost for Bitcoin is roughly concentrated in the $50,000 to $60,000 range. Last month, Bitcoin quickly recovered after dipping to a low of $58,000, validating the support level in this area. They believe that, barring systemic risks or major fundamental changes, the risk-reward ratio of continuing to short at the current level is not favorable. After Bitcoin completed its consolidation and hand-changing in the $58,000 to $63,000 range, it finished its correction and firmly re-established support around $66,000. The market now has the conditions for further upward movement, and they do not rule out the possibility of a strong bullish candle pushing Bitcoin past $72,000.They also stated that the current valuation of the US stock market, especially the AI-related sectors, is relatively high, which could lead to increased volatility in the future. Furthermore, the correlation between Bitcoin and US stocks has significantly decreased compared to previous cycles. With continued institutional capital inflows and the strengthening of Bitcoin's asset attributes, Bitcoin is gradually forging its own independent market trend..
The Goldfinch community has approved GIP-87, initiating the orderly shutdown of Goldfinch Prime and transitioning Goldfinch into “maintenance mode.” Future efforts will focus primarily on recovering funds from legacy lending pools, ensuring users can continue to claim repayments through historical applications, and completing foundation-related operational and administrative wind-down activities.
Zach Pandl, Head of Research at Grayscale Research, stated that the market experienced a new wave of volatility following Strategy's disclosure on June 1st of selling 32 Bitcoin. Although the sale is negligible compared to its holdings of approximately 840,000 Bitcoin (worth about $55 billion), this rare reduction move still impacted market sentiment.Pandl pointed out that the more noteworthy development is the performance of Strategy’s Variable Rate Preferred Stock STRC (Stretch). The product has a design target price of around $100 and currently offers a dividend yield of 11.5%. When the stock price falls below $100, it indicates that investors are demanding a higher rate of return, which may force the company to increase dividend levels. This would increase future cash flow pressure and potentially compel it to sell more Bitcoin for fundraising, further weighing on BTC prices. Strategy's leveraged Bitcoin reserve model is facing challenges. At current STRC and MSTR share price levels, the company's ability to continue large-scale Bitcoin accumulation may be constrained.However, Pandl noted that in the long term, the migration of Bitcoin holdings from highly leveraged digital asset reserve companies to more diversified corporate balance sheets will help enhance market resilience and improve Bitcoin's long-term value support. He expects Bitcoin to resume its upward trend in the coming months, but its near-term performance may lag behind crypto asset sectors that benefit more directly from regulatory clarity.
Odaily Odaily reports: In response to Bankless founder David Hoffman's liquidation of his ETH holdings, Uniswap founder Hayden Adams posted a reply on platform X, stating that “ETH is Money” is the correct narrative, though perhaps misunderstood by most.Hayden Adams indicated that in the future, all assets will be tokenized, people will hold the assets they value most, and the most decentralized monetary system will manifest as “an infinite number of forms of money competing with each other.”He believes that with a low-cost, high-efficiency, 24/7 asset exchange system in place, a single unit of account is not necessary. At the same time, he stated that Uniswap, built on Ethereum, is “the best decentralized monetary system,” and that it is still in its early stages.Recommended reading: Bankless Co-founder's Confession on Liquidating ETH: Ethereum Did the Right Things, but “ETH is Money” Has No Future.
Odaily Odaily News: A recent report released by Gate Research Institute, titled "Research and Backtesting Analysis of BTC Trading Framework Based on Multi-Agent LLM," points out that compared to a single LLM directly generating trading signals, the Multi-Agent LLM architecture more closely mirrors the research and investment process of real financial institutions. By leveraging collaboration and debate among analysts, researchers, traders, and risk control teams, it enhances the transparency and risk control capabilities of trading decisions. The research, based on the TradingAgents framework, constructs an AI trading system applicable to the crypto scenario for the BTC market, introducing multiple agent roles such as technical analysis, news analysis, sentiment analysis, and macro/on-chain analysis.Using BTC/USDT 1-hour data, the study conducted historical backtesting of the TradingAgents-BTC strategy. The results show that the strategy achieved a total return of +20.25% during the testing period, significantly outperforming the Buy & Hold strategy's -7.89% over the same period. Furthermore, its maximum drawdown was controlled at -17.41%, lower than the Buy & Hold's -27.06%. The research suggests that during periods of consolidation and decline, the multi-agent framework can reduce some risk exposure through Sell/Underweight and Flat states, and re-enter long positions during market rebounds, thereby improving overall risk-adjusted returns.The report indicates that the Multi-Agent LLM framework shows certain application potential in crypto trading scenarios. However, the current backtesting period covers only about three months, and 1-hour level trading may still be affected by transaction fees, slippage, and signal latency. Future work requires further validation of the strategy's stability and generalization capabilities over longer historical periods, different market conditions, and across a wider range of asset classes.