Market Performance - The major stock indices in Shanghai and Shenzhen opened mixed on the 30th, with the Shanghai Composite Index slightly lower and the Shenzhen Component and ChiNext indices higher [1] - By the end of the trading day, the Shanghai Composite Index closed at 3444.43 points, up 0.59%, with a trading volume of approximately 567.1 billion [1] - The Shenzhen Component Index closed at 10465.12 points, up 0.83%, with a trading volume of approximately 919.7 billion [1] - The ChiNext Index closed at 2153.01 points, up 1.35%, with a trading volume of approximately 462.2 billion [1] - The STAR Market Index closed at 1229.83 points, up 1.70%, with a trading volume of approximately 112.8 billion [1] - The North Star 50 Index closed at 1447.18 points, up 0.52%, with a trading volume of approximately 30.7 billion [1] Sector Performance - The military industry stocks continued their strong performance, with the sector index rising for six consecutive trading days [1] - The brain-computer interface sector opened significantly higher and saw a steady rise during the morning session [1] - Gaming stocks experienced volatility but maintained high levels during the trading day [1] - Other sectors such as photolithography machines, large aircraft, BC batteries, commercial aerospace, cultivated diamonds, exoskeleton robots, and electronic IDs also saw significant increases [1] - Financial stocks, including banks and securities, experienced slight declines, but the overall drop was minimal [1] Half-Year Performance - The Shanghai Composite Index rose 2.76% in the first half of the year, while the Shenzhen Component Index increased by 0.49% [2] - The ChiNext Index and STAR Market Index both saw gains of 0.53% and 9.93%, respectively, in the same period [2] - The North Star 50 Index had a remarkable increase of 39.45% in the first half of the year [2] - Sectors such as DeepSeek concept, military equipment restructuring, precious metals, controllable nuclear fusion, agricultural machinery, humanoid robots, Xiaohongshu concept, brain-computer interface, AI agents, and rare earth permanent magnets showed strong performance year-to-date [2] Institutional Insights - Market volatility is expected to increase in July due to upcoming earnings, trade, and policy changes, presenting structural investment opportunities [3] - Investors are advised to focus on sectors with high earnings certainty, such as semiconductor equipment and photovoltaic components, while also considering sectors that may benefit from policy support [3] - The market sentiment is anticipated to continue improving, supported by domestic policy measures aimed at addressing economic downturns [3] - The valuation of A-shares remains attractive for medium to long-term investments, with the current equity risk premium index indicating a favorable position [3] Fundraising Trends - The issuance of stock-based funds has reached a near four-year high in the first half of the year, with 663 new funds established, totaling 526.768 billion shares [5] - The proportion of stock-based funds in total fund issuance has increased from 21.14% to 35.35% this year, while the share of bond funds has decreased significantly [5] Futures Industry Performance - In May, futures companies achieved a net profit of 820 million, representing a year-on-year increase of 19.88% [6] - The total operating income for futures companies in May was 3.172 billion, up 2.03% year-on-year [6] - For the first five months of 2025, futures companies reported cumulative operating income of 15.247 billion, a 5.40% increase year-on-year, and a net profit of 4.084 billion, up 34.56% [6]

A Python decorator is all you need to trace LLM apps (open-source).Most LLM evals treat the app like an end-to-end black box.But LLM apps need component-level evals and tracing since the issue can be anywhere inside the box, like the retriever, tool call, or the LLM itself.In @deepeval, you can do that with just 3 lines of code:- Trace individual LLM components (tools, retrievers, generators) with the "@ observe" decorator.- Attach different metrics to each part.- Get a visual breakdown of what’s working an ...

If the upswings are now bigger than the downswings, as appears to be the case, things become much more complicated https://t.co/uKjqpFW0pX ...

Australian startups are being starved of funding. Read today's Australia Briefing, by @Ainsley_Thomson, for your daily dose of the best of Bloomberg. https://t.co/IRASKtwMLV ...

AI startups are growing fast, churning faster and burning cash faster still. But investors don’t seem to mind https://t.co/v4i2DBo3g5 ...

If you're looking to practice appstinence (yes, it's a thing), a dumb phone could be your best bet for ending your infinite scrolling. https://t.co/bindt2VljR ...

Group 1 - The core viewpoint emphasizes that after breaking through key points, the stock market still has room for growth, with a focus on growth sectors rather than indices [1][2] - The reduction in the risk-free interest rate and the shift in expectations for the RMB from depreciation to stability or slight appreciation are significant drivers for the revaluation of Chinese assets [1][2] - The article highlights the importance of macro policies that prioritize investor returns and capital market reforms, which are crucial for changing investors' conservative attitudes towards risks [1][2] Group 2 - Economic policies and innovation support are expected to improve risk appetite and drive growth performance, with new business opportunities emerging in China [2] - The article notes that the financial sector's recent strong performance is influenced by multiple factors, including the ongoing development of stablecoin concepts and favorable domestic policies [6] - Historical analysis shows that financial stock rallies are often driven by liquidity, fundamentals, or policy events, with the sustainability of these drivers determining future market trends [8]

chinese ppl & jewish ppl are both very good at this from my povAnsem 🧸💸 (@blknoiz06):increasing trend of distrust in government & focus on sovereignty + self sustainability is going to result in a lot of localized high trust groups forming w/ aligned goals, beliefs, and generational monetary incentives ...

Societal Trends - Increasing distrust in government is observed [1] - A growing focus on sovereignty and self-sustainability is noted [1] Group Dynamics - Formation of localized high-trust groups with aligned goals is anticipated [1] - These groups will share beliefs and generational monetary incentives [1]

Core Points - The G7 agreement allows U.S. multinational companies to avoid additional overseas tax payments, indicating a shift in international tax policy [1][2] - The agreement will fundamentally alter the global minimum corporate tax reform established in 2021, raising concerns among economists about prioritizing corporate interests over smaller businesses and citizens [1][5] Group 1: G7 Agreement Details - The G7 reached an agreement on a "parallel" tax solution that exempts U.S. multinationals from certain tax rules in exchange for the removal of a controversial provision in the U.S. "Inflation Reduction Act" [1][4] - The removal of the "retributive tax" (Section 899) is crucial for achieving consensus and providing a stable environment for discussions within the OECD framework [4][6] Group 2: Implications for Global Tax Policy - The OECD's tax chief emphasized that the G7 cannot make binding decisions, and any proposals must be approved by all 147 OECD members [2] - The agreement simplifies compliance requirements for the second pillar of the OECD/G20 inclusive framework, which mandates a global minimum corporate tax rate of at least 15% for companies with revenues exceeding €750 million [3][4] Group 3: Digital Taxation Concerns - The G7 statement suggests that the implementation of the parallel system will promote stability in the international tax system and constructive dialogue regarding digital taxation [5][6] - Digital services taxes (DST) have been a point of contention, particularly with European countries targeting U.S. tech companies, with rates varying from 2% to 5% [5][6]