Core Insights - The core viewpoint of the article is that the quant trading industry in China is undergoing a transformation driven by artificial intelligence, with firms like DeepSeek leveraging machine learning to redefine trading strategies and operations [2][9]. Group 1: Industry Landscape - The first wave of quant trading in China began around 2013, driven by talented Chinese traders returning from Wall Street and regulatory changes that allowed quant trading to flourish [4]. - The current quant trading landscape in China is characterized by a new generation of traders, primarily computer scientists without financial backgrounds, who view quant trading as a pure AI task [4][8]. - The industry is attracting top AI talent and providing fertile ground for startups like DeepSeek, which is focused on enhancing trading strategies through advanced technology [2][4]. Group 2: Technological Approach - The application of AI in quant trading differs from traditional methods by treating all stages of the trading process as a single machine learning task, rather than dividing them into separate functions [5][6]. - The company manages approximately 7 billion RMB (around 970 million USD) in assets with a team of about 30 members, two-thirds of whom are focused on research [7]. - The firm emphasizes the importance of real-time data analysis and short-term trading, leveraging AI to predict price movements within minutes to hours [10][11]. Group 3: Competitive Advantage - The holistic approach to quant trading allows for systematic upgrades and cost efficiency, as fewer personnel are needed to achieve better results through advanced algorithms [6][9]. - The firm believes that within three years, quant fund managers who do not adopt AI will be eliminated from the market due to increasing competition [9]. - The quant trading sector is seen as a highly technical field, with a significant concentration of top machine learning talent, particularly in Wall Street [15][18]. Group 4: Future Aspirations - The company aims to establish itself as a world-leading AI-native quant fund, expanding from the Chinese market to key overseas markets [23]. - The long-term vision includes evolving into a computational company that applies its technology across various fields, beyond just quant trading [23].

Core Insights - Quantitative trading is undergoing a revolution led by artificial intelligence, with Dr. Feng Ji as a pioneer in China [1][6] - The team at Beiyang Quantitative Fund integrates machine learning deeply into every aspect of quantitative trading, redefining its future [1][3] Company Overview - Beiyang Quantitative Fund is managed by a team of computer scientists without traditional financial backgrounds, focusing on treating quantitative trading as an AI task [3][5] - The fund has achieved significant recognition in the Chinese quantitative trading sector, managing assets close to 7 billion RMB [5] Industry Trends - The first wave of quantitative trading in China was led by Chinese traders returning from Wall Street, while Beiyang represents the second generation of traders with strong computer science foundations [1][5] - The reliance on AI for short-term price predictions marks a shift away from traditional fundamental analysis, focusing on minute-to-hour time frames [3][6] Technological Integration - The team employs a holistic approach by integrating various stages of the trading process into a single machine learning task, enhancing efficiency and reducing costs [3][5] - Significant advancements in AI over the past decade have aligned well with the needs of quantitative trading, particularly in time series data modeling [3][6] Future Outlook - Dr. Feng predicts that quantitative fund managers who do not complete their AI transformation within the next three years will be eliminated from the market [6] - The success of Beiyang Quantitative Fund is attributed not only to its performance but also to its deep understanding of the industry and innovative practices [6]

在人工智能的助力下，全球实现或者正在从"白手起家"跨越到亿万富豪行列的人越来越多。 2025 年 4 月 23 日，《福布斯》首次发布 "全球最年轻的白手起家女性亿万富豪" 排名，人工智能公司 Scale AI 的联合创始人 Lucy Guo（郭露西）以 30 岁 年龄、约 12.5 亿美元的净资产，力压美国歌手Taylor Swift（泰勒・斯威夫特），位居榜首。 | 姓名 | 走龄 | 身家 | 国籍 | 财富来源 | | --- | --- | --- | --- | --- | | Lucy Guo | 30 | 12.5 | 美国 | 人工智能 | | 泰勒·斯威夫特(Taylor Swift) | 35 | 16 | 美国 | 音乐 | | 丹妮拉·阿莫迪(Daniela Amodei) | 37 | 12 | 美国 | 人工智能 | | 梅兰妮·珀金斯(Melanie Perkins) | 37 | 57 | 澳大利亚 | 软件 | | 蕾哈娜(Rihanna) | 37 | 14 | 巴巴多斯 | 化妆品、音乐 | | 卢依雯 | 37 | 11 | 中国 | 珠宝 | | | (单位:亿美元 ...