Yujia Huang
yujiahuang.research@gmail.com
About Me
I am an undergraduate student in SWUFE, enrolled in RIEM with a major in Finance (minor in Business Administration and the Honors Program in Mathematics). I have a solid background in quantitative strategies and blockchain technologies. I specialize in developing machine learning–based, high-frequency, and market-making strategies and have achieved over 300% returns through discretionary trading in cryptocurrency markets. I am interested in exploring emerging research directions at the intersection of finance, mathematics and computer science.
Projects
Quantitative Backtesting Platform
Built a cloud-native platform supporting strategy design, backtesting, and data orchestration. Deployed on Sealos using Vue 3, Node.js, PostgreSQL, and AI-assisted development tools.
Features
- Frontend: Vue 3 + TypeScript + dark/light theme toggle
- Backend: Node.js + WebSocket + sandboxed strategy engine
- Optimizations: lazy loading, virtual scroll, sharded DB, caching
- CI/CD with health monitoring and 99.95% uptime
- Supported 30+ indicators and 6 strategy types
- 500+ backtests/day with <50ms latency, FCP 0.7s
The project is currently under update and will be open source once the update is completed. Stay tuned!