Analysis: Strategy sold off its first large-scale BTC transaction in five years, but the market did not show excessive panic.
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Analysis: Bitcoin may be entering a period of bottoming out; Strategy's sale of Bitcoin did not trigger panic.
According to a recent report by Bitfinex Alpha, as Odaily by Odaily, Strategy recently conducted its first large-scale Bitcoin sale, but the market showed strong resilience and no significant selling pressure emerged. Bitcoin rebounded after hitting a low of $57,803 on July 1st, and its performance in July remains positive, consistent with the views expressed in Bitfinex Alpha's previous report (No. 212), suggesting a potential market correction this month. Data shows that Strategy may have executed a BTC sale between June 29 and July 2, but the price of Bitcoin still saw a positive weekly increase during the same period, rising approximately 10.5% from its cycle low. Furthermore, on the last trading day of last week and the first trading day of this week, Bitcoin spot ETFs recorded inflows exceeding $200 million per day, ending a previous 10-day streak of net outflows, with a cumulative outflow of $2.73 billion. June was a challenging month for Bitcoin ETFs, with net outflows for nine consecutive weeks, reaching nearly $4.06 billion in June alone. However, these redemptions primarily reflect authorized participants (APs) returning ETF units and a decrease in passive funding demand, rather than indicating a large-scale immediate sale of Bitcoin through on-chain markets. The market is currently unable to fully determine whether investors have digested recent changes in fund flows, but spot trading volume does not fully reflect the impact of the previous large-scale outflows. With changes in ETF asset allocation and a return to positive fund flows, the Bitcoin market may face new variables in July. After a brief dip following the announcement of the Strategy sale, BTC prices quickly stabilized and have now returned to the lower end of the first quarter trading range, exceeding pre-announcement levels. ETF fund flows have recorded net inflows for three consecutive trading days, and the $61,000 level has become a crucial dividing line between bullish and bearish forces in the market. Bitcoin is currently in a downtrend on a higher timeframe, but the market structure is changing. Approximately 10.83 million BTC are currently in an unrealized loss state, while about 9.22 million BTC remain profitable, marking the first time that the number of losing BTC has exceeded the number of profitable BTC. Historically, this phase typically indicates significant pressure on spot holders and often approaches the bottoming phase of a bear market. However, a true macro bottom still needs confirmation from key indicators, such as Bitcoin consistently recovering to its current "True Market Mean" of around $71,500. While the current market environment may dampen sentiment in the short term, it also creates conditions for long-term funds to absorb selling pressure. As long-term holders and some whale re-accumulate, Bitcoin is shifting from low-conviction holders to high-conviction investors, and the next two to three months may be a crucial window for confirming a temporary bottom.
Strategy buys $370M Bitcoin in first corporate purchase since June
Strategy added to its BTC treasury for the first time in two months, while continuing to bolster its cash reserves and buy back its perpetual STRC preferred stock.
SpaceX's marked address transferred a small amount of BTC for the first time in six months, suspected to be a test transfer.
According to BlockBeats, on July 8th, Arkham monitoring revealed that an address tagged as SpaceX transferred Bitcoin for the first time in six months. Data shows that SpaceX address 15atF initiated a test BTC transaction of approximately $88 to SpaceX address bc1q9, which appears to be a test transfer.
Ministry of Human Resources and Social Security: By 2030, the large-scale model of the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound.
According to Mars Finance, the Ministry of Human Resources and Social Security, the National Development and Reform Commission, the Ministry of Industry and Information Technology, and the National Data Administration recently jointly issued the "Implementation Opinions on Accelerating the Application and Development of 'Artificial Intelligence + Human Resources and Social Security'". A relevant official from the Ministry of Human Resources and Social Security answered reporters' questions regarding the "Implementation Opinions". In terms of promoting the work, a three-step work goal will be achieved within five years. First, building the foundation. Taking this year (2026) as a benchmark, the initial formation of the artificial intelligence application system, standard system, and guarantee system in the human resources and social security sector will be promoted. The infrastructure for "Artificial Intelligence + Human Resources and Social Security" applications will be deployed, a number of high-performance human resources and social security industry large-scale models and intelligent agent applications will be cultivated, and about 20 application scenarios based on human resources and social security industry large-scale models and corresponding high-quality datasets will be created, forming a collaborative development ecosystem of computing power, models, data, and scenario applications. Second, popularization and promotion. By 2027, a number of human resources and social security industry large-scale models and intelligent agents will be widely applied, and about 50 high-value application scenario empowerment paths will be explored, achieving significant results in intelligent development. Third, widespread application. By 2030, high-quality datasets will be effectively supplied, large-scale models for the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound, forming an innovative landscape where artificial intelligence is widely applied in the human resources and social security sector. (Cailian Press)
Some large-scale AI models in China are 90% cheaper than those in the US; Chinese AI's high cost-effectiveness is capturing the US market.
According to a report by CNBC on July 7th, influenced by the continued price increases of models from leading US AI vendors, Chinese AI large-scale models are rapidly expanding their application scale in US enterprises due to their cost-effectiveness advantage. Industry insiders point out that the performance of some leading open-source and open weighted models in China is currently about 6 to 9 months behind the technology of top-tier US models such as OpenAI and Anthropic, while the price is 60% to 90% lower, and they can cover the vast majority of routine AI tasks, thus gaining popularity among US enterprises. According to statistics from the AI model aggregation platform OpenRouter, since February 8th of this year, the proportion of Chinese AI models used by US enterprises has exceeded 30% weekly, reaching a peak of 46%; while the average proportion in the previous 12 months was 11%. Another industry statistic shows that in the first week of the launch of Zhipu's latest large-scale model GLM 5.2, the daily average number of word calls increased by 27 times and the number of customers increased by 80 times, making it the fastest-deployed model on the platform in 2026; US AI startup Lindy has significantly reduced costs after switching all its AI business to DeepSeek models, and expects to save millions of dollars within a few months. (CCTV Finance)
Large-scale model stocks in Hong Kong extended their gains, with MINIMAX and Zhipu rising over 16%.
Mars Finance reported on July 8th that MINIMAX-W (00100.HK) rose 17%, and Zhipu (02513.HK) rose 16%. In terms of news, Zhipu, a leading Hong Kong-listed large-scale model manufacturer, saw its first share lock-up period expire today, with several core institutional investors clearly choosing to continue their investment. (Science and Technology Treasure Broadcast)