Core Viewpoint - Apple Inc. has established a new team called "Answers" to develop a simplified version of a ChatGPT competitor aimed at enhancing user access to global knowledge [1] Group 1: Company Developments - Apple's stock price rose over 2% on Monday, reaching over $206, with a current increase of more than 1.8% [1] - The newly formed "Answers" team is focused on creating intuitive information experiences for Apple's iconic products, including Siri, Spotlight, Safari, Messages, and Lookup [1] - Job postings for the "Answers" team indicate a need for expertise in search algorithms and engine development, suggesting a clear direction towards a self-developed search tool similar to ChatGPT [1]

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According to The New York Times, OpenAI has completed a new $8.3 billion funding round, with a valuation of $300 billion. Investors in this round include Blackstone, TPG, T. Rowe Price, Sequoia Capital, and a16z, among others. These institutions will help facilitate the application of ChatGPT in traditional industries such as healthcare, finance, and manufacturing. https://t.co/fUBYLi0C5R ...

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- Model Name: ETF Premium and Discount Rate Model; Model Construction Idea: The model calculates the premium and discount rates of ETFs to reflect investor sentiment; Model Construction Process: The premium and discount rates are calculated using the formula: $ \text{Discount Rate} = \frac{\text{Total Transaction Amount of Block Trade}}{\text{Total Market Value of Shares Traded on the Day}} - 1 $ [23][26][27] - Model Name: Margin Trading Balance Model; Model Construction Idea: The model measures the balance of margin trading to reflect market activity; Model Construction Process: The balance of margin trading is calculated by summing the financing balance and the securities lending balance. The proportion of margin trading balance to the market's total circulating market value and the proportion of margin trading transactions to the market's total transaction amount are also calculated [19][22][24] - Model Name: Stock Index Futures Basis Model; Model Construction Idea: The model calculates the annualized basis rate of stock index futures to reflect market expectations; Model Construction Process: The annualized basis rate is calculated using the formula: $ \text{Annualized Basis Rate} = \frac{\text{Basis}}{\text{Index Price}} \times \left( \frac{250}{\text{Remaining Trading Days of the Contract}} \right) $ [28][29][31] - Factor Name: Sealing Rate; Factor Construction Idea: The factor measures the proportion of stocks that hit the highest price and closed at the highest price; Factor Construction Process: The sealing rate is calculated using the formula: $ \text{Sealing Rate} = \frac{\text{Number of Stocks with Highest Price and Closed at Highest Price}}{\text{Number of Stocks with Highest Price}} $ [16] - Factor Name: Consecutive Sealing Rate; Factor Construction Idea: The factor measures the proportion of stocks that closed at the highest price for two consecutive days; Factor Construction Process: The consecutive sealing rate is calculated using the formula: $ \text{Consecutive Sealing Rate} = \frac{\text{Number of Stocks Closed at Highest Price for Two Consecutive Days}}{\text{Number of Stocks Closed at Highest Price Yesterday}} $ [16] Model Backtest Results - ETF Premium and Discount Rate Model, Premium Rate: 1.77% (New Energy Vehicle Battery ETF), Discount Rate: 0.95% (CSI 2000 ETF) [23][25] - Margin Trading Balance Model, Margin Trading Balance: 19847 billion yuan, Financing Balance: 19706 billion yuan, Securities Lending Balance: 142 billion yuan, Margin Trading Balance to Circulating Market Value Ratio: 2.3%, Margin Trading Transactions to Market Transaction Amount Ratio: 10.4% [19][21][22] - Stock Index Futures Basis Model, Annualized Basis Rate: 0.25% (SSE 50), -3.17% (CSI 300), -11.41% (CSI 500), -12.84% (CSI 1000) [28][29][31] Factor Backtest Results - Sealing Rate, 59% [16] - Consecutive Sealing Rate, 25% [16]

Group 1 - The three major indices opened mixed on July 31, with the Shanghai Composite Index down 0.3%, the Shenzhen Component Index up 0.05%, and the ChiNext Index up 0.65% [1] - CPO optical modules, ChatGPT, and liquid cooling servers led the market, with the Cloud Computing 50 ETF (516630) rising over 2% [1] - Nvidia's stock reached a new all-time high, with a market capitalization exceeding $4.37 trillion and a trading volume of $29.911 billion [1] Group 2 - Nvidia's recent stock surge is expected to benefit the domestic computing power industry chain due to overseas mapping logic [2] - The Cloud Computing 50 ETF (516630) tracks an index with a high AI computing power content, covering popular concepts such as optical modules, computing power leasing, data centers, AI servers, and liquid cooling [2] - The Cloud Computing 50 ETF (516630) has the lowest total fee rate for tracking this index [2]

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Market Trends & Industry Dynamics - Fundstrat believes stablecoins are bringing a "ChatGPT moment" to the cryptocurrency sector, indicating a significant development milestone [1] - Stablecoins are exhibiting viral user growth, converging around Ethereum [1] - The cryptocurrency sector may witness a wave of innovation similar to the AI sector's surge driven by ChatGPT [1] Ethereum's Position - This stablecoin-driven development may reshape the industry status of smart contracts and Ethereum [1] - It is expected to significantly enhance Ethereum's dominance in the cryptocurrency space [1]

Group 1 - The core viewpoint emphasizes the contrast between short-term speculative stocks and long-term stable growth stocks, advocating for the latter as a more sustainable investment strategy [1][2] - The recent surge of Upwind New Materials, which became the first 10x stock of the year in just 15 trading days, highlights the speculative nature of the current market driven by trends like the metaverse and ChatGPT [1][3] - Historical examples of true 10x stocks, such as Kweichow Moutai and CATL, demonstrate that significant returns are often achieved over longer periods, suggesting that time is a crucial factor in value realization [1][2] Group 2 - The cultivation of slow bull 10x stocks requires three essential conditions: industries with long-term growth potential, companies with strong technological barriers or brand effects, and a rational pricing mechanism in the capital market [2] - The current A-share market is at a critical turning point, with increasing institutional investor participation and market maturity, yet it still exhibits speculative behaviors that hinder the development of a value investment culture [2][3] - A long-term slow bull ecosystem is deemed the best choice for the A-share market, necessitating regulatory improvements and a focus on performance-based pricing to foster the emergence of 10x stocks [2][3]

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