{"data":{"featured":{"edges":[{"node":{"frontmatter":{"title":"Equity Research","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/ccc220a99f81d750fa9cb26ec7578ee1/3e1ab/halcyon.png","srcSet":"/static/ccc220a99f81d750fa9cb26ec7578ee1/57a76/halcyon.png 175w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/f00e6/halcyon.png 350w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/3e1ab/halcyon.png 700w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/35a97/halcyon.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/ccc220a99f81d750fa9cb26ec7578ee1/50167/halcyon.avif 175w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/5a8a9/halcyon.avif 350w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/bc4f6/halcyon.avif 700w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/44296/halcyon.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/ccc220a99f81d750fa9cb26ec7578ee1/81b0f/halcyon.webp 175w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/bfc62/halcyon.webp 350w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/74bac/halcyon.webp 700w,\n/static/ccc220a99f81d750fa9cb26ec7578ee1/67855/halcyon.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":467}}},"tech":["Bloomberg","Capital IQ","Wind","Data Analysis","Financial Modeling"],"github":null,"external":"https://mp.weixin.qq.com/s/Pv5NIkP6dBPXYtGkKbjc_g","cta":"/equity-research"},"html":"<p>I conducted equity research on <span style=\"color: var(--green);\">gaming</span> and <span style=\"color: var(--green);\">creative technology</span> 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.</p>"}},{"node":{"frontmatter":{"title":"Quantitative Finance","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"],"github":null,"external":"https://github.com/LeaiFish","cta":"/quantitative-finance"},"html":"<p>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).</p>"}},{"node":{"frontmatter":{"title":"Automated Data Pipeline","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/39659e391940425e633ce033495c5fb0/3e1ab/course-card.png","srcSet":"/static/39659e391940425e633ce033495c5fb0/57a76/course-card.png 175w,\n/static/39659e391940425e633ce033495c5fb0/f00e6/course-card.png 350w,\n/static/39659e391940425e633ce033495c5fb0/3e1ab/course-card.png 700w,\n/static/39659e391940425e633ce033495c5fb0/35a97/course-card.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/39659e391940425e633ce033495c5fb0/50167/course-card.avif 175w,\n/static/39659e391940425e633ce033495c5fb0/5a8a9/course-card.avif 350w,\n/static/39659e391940425e633ce033495c5fb0/bc4f6/course-card.avif 700w,\n/static/39659e391940425e633ce033495c5fb0/44296/course-card.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/39659e391940425e633ce033495c5fb0/81b0f/course-card.webp 175w,\n/static/39659e391940425e633ce033495c5fb0/bfc62/course-card.webp 350w,\n/static/39659e391940425e633ce033495c5fb0/74bac/course-card.webp 700w,\n/static/39659e391940425e633ce033495c5fb0/67855/course-card.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":467}}},"tech":["Python","Pandas","Excel automation (xlwings)","API"],"github":null,"external":"https://github.com/LeaiFish","cta":"/automated-data-pipeline"},"html":"<p>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 <span style=\"color: var(--green);\">reduced processing time by 90%</span>, earned me recognition bonuses, and became a permanent part of the team's workflow.</p>"}}]}}}