About Me
Experience
Web3 Investment Analyst Intern
Shenwan Hongyuan Securities Co., Ltd. - - Now
职位: Web3 Investment Analyst Intern | 时间段: 2024 – 2025 | 工作内容: Performed asset pricing analysis on Bitcoin using the Fame-French framework and identified that on-chain metrics such as Bitcoin Dominance and active addresses explain up to 35% of price variance, enabling more accurate market trend predictions and risk assessment. Conducted correlation analysis between Bitcoin, Nasadq-100 and U.S. Dollar index (DXY) and found that the correlation increased from 0.214 to 0.328 post-2024, and observed correlation spikes of up to 0.45 during DXY surges and post-April 2025 tariff shocks, highlighting Bitcoin’s shifting safe-haven dynamics. Developed an automated monitoring integrating real-time market data via APIs to generate rolling 30-day correlation statistics, reducing manual analysis time by 60% and delivering actionable trading insights to users within minutes.
Defi Research Intern
CoinMarketCap - - Now
职位: Defi Research Intern | 时间段: 2023 – 2023 | 工作内容: Contributed to the creation of the company’s monthly reports, delivering in-depth analyses of cryptocurrency markets, NFT trends, Layer 1 and Layer 2 solutions that informed strategic decisions for over 5,000 readers. Utilized Python and D3.js to design over 20 interactive plots and charts, streamline complex data visualization from platforms such as Dune Analytics and DefiLlama, which improved stakeholder data comprehension. Collaborated with project teams to enhance marketing outreach by providing data-driven insights and fostering engagement with new cryptocurrency projects.
Quantitative Research in Crypto Industry
Personal Project - - Now
职位: Quantitative Research in Crypto Industry | 时间段: 2022 – Current | 工作内容: Developed a multi-factor predictive model integrating on-chain metrics and technical indicators to forecast Bitcoin’s weekly price direction, achieving 57.21% overall accuracy. Delivered up-move prediction precision of 60.46% (recall: 75.82%) and down-move prediction precision of 53.56% (recall: 39.79%), enabling more informed trading strategies. Engineered an automated arbitrage monitoring system for LBMA spot gold and tokenized XAUT by integrating live LBMA and Binance XAUT quotes via API. Computed real-time spreads and rolling correlations, and implemented threshold-based alerts, reducing manual monitoring time by 70% and enabling timely execution of arbitrage opportunities.
Defi Protocol Research and Blockchain Technology
Personal Project - - Now
职位: Defi Protocol Research and Blockchain Technology | 时间段: 2024 – 2024 | 工作内容: Conducted in-depth research on Curve, Aave, EigenLayer, and other DeFi protocols, analyzing whitepapers, historical exploits, founder conflicts, and arbitrage strategies. Applied deep reinforcement learning to optimize Uniswap V3 liquidity bounds, designing reward functions based on fee revenue and impermanent loss, and using PPO to dynamically set price ranges. Completed the “Cryptocurrencies, Blockchain and Smart Contracts” course (Imperial College London), gaining expertise in PoW, PoS, BFT consensus mechanisms, and smart contract security.
