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The AI boom has boosted the enthusiasm for "leveraged stock trading" in Japan, with the scale of retail investors' margin trading doubling in six months, reaching the highest level since 2016

According to the Nikkei News, individual investors in the Japanese stock market are accelerating their use of leverage to bet on AI trends. As of July, the amount of credit trading by individual investors in the Japanese stock market reached 123 trillion yen (approximately 1.09 trillion yuan), doubling since the beginning of the year and reaching the highest level since related statistics began in 2016.Data shows that in June, the scale of credit trading by Japanese individual investors hit a historical high, and in July it continued to maintain a high level. At the same time, the proportion of credit trading in the overall trading amount of individual investors rose to 83%, also setting a new record.AI concept stocks have become the main driving force behind the surge in credit trading, among which the credit buy balance of AI storage concept stock Kioxia reached 13.23 million shares as of August 7, making it one of the popular targets.Benefiting from the recent rise in the Japanese stock market, the overall performance of leveraged investors has been decent. The floating yield of credit trading investors briefly turned positive in June, although it fell back to a loss of 8.4% by the end of July, it is still better than the average loss level of the past 10 years (-10.2%).

Analyst: Bitcoin's volatility has dropped to historical support levels, and we need to be wary of the hidden risk of severe fluctuations

According to CoinDesk, Bitcoin's implied volatility on the 30th fell to a long-term support level of 36%, with the price maintaining a narrow range below $65,000. Adam Haeems, head of asset management at Tesseract Group, reminded that a low-volatility environment will lower trading costs, thereby encouraging traders to establish large directional bets and hedge positions; once the market breaks through key price levels, the passive hedging behavior of market makers will amplify market fluctuations, driving a mean-reversion rebound in volatility.On the market sentiment front, Paul-Howard, Senior Director at Wincent, stated that the current demand for put options has significantly cooled, but there is also a lack of buying interest for call options. Glassnode summarized this state as "there is neither capital to buy into the rise nor capital to buy into the fall," believing that this phenomenon often represents the market nearing a cyclical bottom. The divergence in the trends of Dogecoin and Bitcoin also indirectly reflects the continued low speculative sentiment.Howard believes that favorable regulatory advances like the Clarity Act, which drive institutional ETF capital inflows, may become an important catalyst for the next round of market movements; while the failure of negotiations in the Strait of Hormuz and inflation exceeding expectations pose major downside risks.

AMD launches enterprise-level AI programming platform Instinct Coder

AMD officially launched the on-premises AI programming platform AMD Instinct Coder for enterprises, integrating AMD EPYC processors, AMD Instinct GPUs, Supermicro AI servers, Spectro Cloud PaletteAI inference launch platform software, and the GLM-5.2 model optimized by AMD inference microservices, forming a comprehensive solution that is pre-integrated from hardware to software and can be quickly deployed.AMD stated that the total cost of ownership of this platform can reduce costs by up to 70% compared to using cloud-based cutting-edge models, with a capital recovery period as short as 6 months, directly addressing the two core pain points that enterprises commonly encounter in AI programming assistant pilots: the cost impact of cloud models and the data security risks of third-party services.Spectro Cloud's PaletteAI platform provides intelligent routing capabilities, allowing for strategic automatic switching between on-premises inference and cloud-based cutting-edge models from Anthropic, OpenAI, Google, and xAI, and is equipped with token quotas, audit tracking, and Grafana dashboards to visualize cost comparisons between on-premises and cloud environments, fully compatible with standard operating systems and Kubernetes. Each node can support up to 50 users and is compatible with mainstream development tools such as Claude Code, OpenAI Codex, Visual Studio Code, and Cursor.IDC executives commented that this platform "directly addresses the core needs of enterprises wanting AI programming productivity without the unpredictable cloud costs or risks of exposing source code." AMD's move shifts the AI programming assistant from a pure service model billed by usage to an infrastructure investment model with pre-planned costs.

Data: The market capitalization of USDT has dropped to historically extreme levels, and BTC's rebound faces liquidity contraction pressure

CryptoQuant analyst Moreno stated that USDT liquidity is experiencing one of the most severe contraction phases in history. The market value of USDT has decreased by about 4 billion dollars over the past 60 days, approaching historically low levels. At the same time, the liquidity contraction is still accelerating, with the USDT supply decreasing by about 870 million dollars in the past 11 days, indicating that this is not merely a lagging effect caused by previous redemptions.Stablecoins are the most direct source of available liquidity in the crypto market, and the continuous expansion of USDT is usually accompanied by stronger price performance of BTC, while prolonged contraction phases often correspond to weak demand, market corrections, and declining risk appetite. However, the correlation between USDT flows and BTC prices does not prove a direct causal relationship; both may be influenced by risk-averse sentiment, with redemption pressure and spot selling occurring simultaneously. The current decline in BTC is not an isolated event but is happening against the backdrop of a continuous shrinkage of one of the main sources of market liquidity, which also explains why the recent rebound has been difficult to sustain. To improve the market environment, we need to see the 60-day change in USDT stabilize, daily supply contraction slow down, and re-enter an expansion phase.
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