我对游戏和创意科技公司开展了股票研究，分析了游戏行业的平台生态飞轮效应，以及创意软件中的云转型战略与 AI 融合带来的影响。研究方法将亲身的产品测试与竞争分析相结合。
"},"html":"I conducted equity research on gaming and creative technology companies, analyzing platform ecosystem flywheel effects in gaming and cloud transition strategies with AI integration impact in creative software. Research methodology combined hands-on product testing with competitive analysis.
"}},{"node":{"frontmatter":{"title":"Quantitative Finance","title_zh":"量化金融","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/874c18c537b3c5aefabcbb95bb5eedf3/055e6/demo.png","srcSet":"/static/874c18c537b3c5aefabcbb95bb5eedf3/cebcc/demo.png 175w,\n/static/874c18c537b3c5aefabcbb95bb5eedf3/272cf/demo.png 350w,\n/static/874c18c537b3c5aefabcbb95bb5eedf3/055e6/demo.png 700w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/874c18c537b3c5aefabcbb95bb5eedf3/9aa63/demo.avif 175w,\n/static/874c18c537b3c5aefabcbb95bb5eedf3/e6db6/demo.avif 350w,\n/static/874c18c537b3c5aefabcbb95bb5eedf3/537a7/demo.avif 700w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/874c18c537b3c5aefabcbb95bb5eedf3/240e7/demo.webp 175w,\n/static/874c18c537b3c5aefabcbb95bb5eedf3/faefe/demo.webp 350w,\n/static/874c18c537b3c5aefabcbb95bb5eedf3/9d3d3/demo.webp 700w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":437}}},"tech":["Python","Pandas","Jupyter Notebook","Statsmodels",null,"Matpotlib","CSMAR API"],"tech_zh":["Python","Pandas","Jupyter Notebook","Statsmodels","Matplotlib","CSMAR API"],"github":null,"external":"https://github.com/LeaiFish","cta":"/quantitative-finance","description_zh":"在一个课程项目中，我分析了中证系列指数的成分，回测了再平衡策略，使用 ROE、MAX 和换手率因子构建了多空组合，并依据 Liu、Stambaugh 与 Yuan（2019）的方法，基于 A 股数据复现了 CH-3 因子模型。
"},"html":"In a school project, I analyzed CSI indices composition, backtested rebalancing strategies, built long-short portfolios using ROE, MAX, and turnover factors, and replicated CH-3 factor model based on A-share data following Liu, Stambaugh, and Yuan (2019).
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"},"html":"I identified that my team was spending 6+ hours weekly on manual market intelligence data processing at Sealand Securities. To address this inefficiency, I developed a Python automation tool that integrated multiple APIs with Excel databases and automated chart generation. The solution reduced processing time by 90%, earned me recognition bonuses, and became a permanent part of the team's workflow.
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