Market Overview - The A-share market experienced a rebound on Wednesday, with the ChiNext Index leading the gains. The Shanghai Composite Index closed at 3376.20 points, up 0.42%, with a trading volume of 446.8 billion yuan. The Shenzhen Component Index closed at 10144.58 points, up 0.87%, with a trading volume of 706.2 billion yuan. The ChiNext Index closed at 2024.93 points, up 1.11%, with a trading volume of 319.5 billion yuan [1]. Sector Performance - The consumer sector showed strong performance, with beauty care and beer concepts leading the gains. Stocks like Lehui International hit the daily limit. Solid-state battery concept stocks also surged, with companies like Chuan Yi Technology reaching the daily limit. The computing power concept stocks rebounded, with Tai Chen Guang rising over 10%. Conversely, the unmanned vehicle concept stocks faced adjustments, with Fu Long Ma nearing the daily limit [2]. Institutional Insights - According to Jifeng Investment Advisory, the market is currently consolidating below the 3400-point level, with policy support and long-term capital inflows expected to drive further upward movement in the A-share market. Investors are advised to buy on dips, focusing on sectors like consumer goods, semiconductors, and robotics that benefit from policy support [3]. - CITIC Construction expressed optimism about strategic metals such as antimony, bismuth, tungsten, and molybdenum, which have shown significant price increases due to resource scarcity and rigid supply. The demand from new energy, new materials, and military industries is expected to continue driving these trends, suggesting a focus on investment opportunities in strategic metals [3]. Market Sentiment - According to Furong Fund, the equity market remains in a volatile range, with fluctuations driven by the relative positions of capital and stock prices. The previously high-performing technology sector has seen a decline in trading volume, but the industry continues to develop positively. The technology sector may be entering a mid-term layout phase, with a focus on AI, semiconductors, and robotics as key growth areas [4].

Investment Rating - The report does not explicitly state an investment rating for the industry or the specific technology discussed. Core Insights - The research explores the application of Multimodal Chain of Thought (MCoT) in investment research, particularly in technical analysis using K-line charts, leading to the development of an automated platform called GPT-Kline [1][4][13]. - MCoT enhances the reasoning capabilities of large models by combining multimodal understanding with logical reasoning, allowing for more sophisticated analysis of complex tasks [2][21]. - The O3 model, launched by OpenAI, demonstrates impressive image reasoning capabilities, marking a significant step towards achieving general artificial intelligence (AGI) [2][37]. Summary by Sections Multimodal Reasoning - Multimodal collaboration is essential for large models to progress towards AGI, requiring them to be proficient in various modalities beyond just language [17]. - MCoT represents a significant advancement, enabling models to think based on images rather than merely perceiving them [21][31]. Application in Investment Research - The report highlights the potential of MCoT in technical analysis, particularly with K-line charts, which encapsulate vital trading information and patterns suitable for analysis [3][42]. - The O3 model's application in technical analysis shows its ability to process K-line images, perform necessary pre-processing, and generate analytical reports [3][43]. Development of GPT-Kline - GPT-Kline integrates MCoT with the capabilities of large models to create a specialized tool for K-line technical analysis, automating the entire analysis process from drawing to reporting [4][65]. - The platform features a user-friendly web interface designed for intuitive interaction, allowing users to engage with the analysis process effectively [4][83]. Model Comparison and Performance - The report compares various large models, including OpenAI's GPT-4o and Gemini-2.5 series, assessing their capabilities in K-line analysis and identifying Gemini-2.5 Flash as a strong performer [66][96]. - The analysis results indicate that while OpenAI's models tend to be conservative in their outputs, the Gemini models provide more comprehensive and accurate annotations [95][96].