Yujie C.

Hi, I'm Yujie — a data analyst specializing in crypto and derivatives markets, with over five years of derivatives trading experience and HyroTrader funded-trader status (2025). What I do: - Market data pipelines & research: Built a personal Python/pandas research pipeline for market-data collection, hypothesis testing, data cleaning, and visualization. Ran on-chain hypothesis tests via Dune Analytics (AI-assisted SQL), including exchange deposit flows across 332 Ethereum tokens over 372 days, Uniswap v3 LP-fee vs. impermanent-loss economics, and Pendle fixed-yield market risk. - Quantitative trading systems: Built an AI-assisted quantitative trading system for Hyperliquid (spot + perpetuals) — plugin-based architecture, event-driven backtester modeling fees, slippage and funding, layered risk controls (daily-loss kill switches, notional limits), 150+ pytest files, Docker/AWS EC2 deployment, and Discord/Telegram alerts. Data pipelines cover candles, funding rates, and 30+ market/on-chain/macro sources across roughly 285 HIP-3 markets. - Market monitoring: Track on-chain and derivatives data across Glassnode, Dune, Coinglass, Arkham, DefiLlama, and CryptoQuant; built alerts flagging depeg events and key market moves in near real-time. Technical skills: Python, pandas, SQL, REST APIs, pytest, Docker, AWS EC2, Git. Platforms: Hyperliquid, Glassnode, Dune, Coinglass, Arkham, DefiLlama, CryptoQuant. Background: Diploma in Finance Administration (Sheridan College); FinTech Professional Certification, Grade A (University of Toronto School of Continuing Studies). I bring a trader's discipline to data work: structured risk management, post-trade review habits, and operational accuracy from years of handling real money and real operations data. I'm also available for data entry and administrative support tasks — feel free to ask about project-based pricing.