中国AI模型超美国模型，靠AI炒股的时代来了吗？

Core Insights - The article discusses a recent AI trading competition where top AI models from China and the US were tested in real-time cryptocurrency trading, with each model starting with $10,000 in capital [3][5] - The competition aims to evaluate AI's ability to navigate the unpredictable financial markets, contrasting with traditional static benchmarks used to assess AI capabilities [3][5] Group 1: AI Trading Competition Overview - The competition involved six AI models trading major cryptocurrencies like BTC, ETH, and DOGE without human intervention, focusing on maximizing account value [3] - DeepSeek Chat v3.1 initially showed a return of nearly 40%, but later stabilized around 10% after market fluctuations [5] - GPT-5, despite its popularity, reported a significant loss of 68.9%, indicating potential limitations in its trading strategy [5][11] Group 2: Performance Analysis of AI Models - Grok-4 adopted an aggressive trading strategy, achieving over 40% profit initially but later faced sharp declines due to market changes [6] - Qwen3 Max outperformed DeepSeek Chat v3.1 by employing a highly leveraged strategy, achieving a total return of 13.41% [8] - The article questions the superior performance of DeepSeek, suggesting that its training background may not fully explain its leading position in the competition [8][10] Group 3: Limitations of General AI Models - GPT-5 and Gemini 2.5 Pro struggled due to their design as general-purpose models, which may have led to noise in trading decisions [11][18] - The article emphasizes the importance of understanding the specific capabilities and limitations of different AI models when using them for trading [11][24] Group 4: Future of AI in Trading - The article highlights the growing reliance on AI for stock selection among retail investors, with a significant portion already using AI tools for investment decisions [15] - Despite the potential of AI, the article warns that successful trading still requires a solid understanding of financial principles and market dynamics [15][24] - The emergence of AI-driven investment services from brokerages indicates a trend towards integrating AI into traditional investment practices [18][21]