Group 1 - The report emphasizes the application of DeepSeek's AI capabilities to reconstruct classic investment strategies in the domestic market, particularly focusing on the bond strategies of Salomon Brothers [1][12]. - DeepSeek successfully adapts Salomon Brothers' bond investment strategies to the domestic bond market by analyzing key factors such as expected yield, convexity, and duration for interest rate bonds, as well as spreads and premiums for credit bonds [1][21]. - The results indicate that DeepSeek's strategies enhance portfolio returns and Sharpe ratios through dynamic adjustments in the weight of interest rate and credit bonds [1][23]. Group 2 - The report highlights the adaptation of Berkshire Hathaway's (BRK) value investment strategy in the A-share market, focusing on long-term compounding, moat identification, and margin of safety [2][35]. - DeepSeek constructs a dual model for stock selection based on business models and financial metrics, outperforming the market by emphasizing brand strength, cost advantages, and moat characteristics [2][38]. - The report also discusses the simulation of ARK's growth investment style, showcasing a focus on disruptive growth sectors and the construction of strategies that leverage momentum and sector performance [2][46]. Group 3 - The report outlines the balance and switching between value and growth styles using DeepSeek, providing specific strategies for each style to adapt to varying market conditions [3][34]. - DeepSeek's "AI+BRK" strategy focuses on commercial value selection, which is beneficial during economic downturns, while the "AI+ARK" strategy emphasizes innovation and quality in growth stocks [3][52]. - The report concludes that the integration of AI with classic investment paradigms can preserve and extend the essence of these strategies across different market environments [3][30].