Bill Chan | Quant Research & Algo Trading

Systematic Trading | Web3 Infrastructure | Market Microstructure

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🎯 Professional Summary

Quantitative developer and algorithmic trading specialist with expertise in systematic trading systems, derivatives pricing, and onchain data analytics. Currently focused on building high-performance trading infrastructure and sustainable Web3 protocols. Background in computational finance with strong emphasis on market microstructure, NLP for sentiment analysis, and real-time data engineering pipelines.

Current Focus: Crypto derivatives trading | DeFi analytics | Backtesting frameworks | Market data infrastructure

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🛠️ Technical Stack

Quant & Trading Python NumPy Pandas TA-Lib Backtrader QuantLib Market Data APIs

Web3 & Blockchain Solidity EVM DeFi Protocols Onchain Analytics Web3.py Ethers.js

Infrastructure & DevOps FastAPI Docker GitHub Actions CI/CD Data Pipelines Time-Series DB

Data & Analytics NLP Sentiment Analysis Time-Series Analysis Statistical Modeling Data Visualization

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📊 Dynamic Metrics Dashboard

Core Metrics	Activity & Insights

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🚀 Featured Projects

Trading Systems & Backtesting

• Systematic trading frameworks with multi-asset support
• Real-time market data processing and signal generation
• Performance attribution and risk analytics

Web3 & DeFi Analytics

• Onchain data aggregation and visualization
• Protocol analytics and yield optimization tools
• Sustainable Web3 infrastructure development

Data Engineering

• High-frequency data pipelines for market microstructure analysis
• NLP-powered sentiment analysis for crypto markets
• Time-series databases and real-time dashboards

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⚙️ Automated Updates

This README is automatically updated by GitHub Actions via .github/workflows/main.yml.

Schedule

• Daily: 01:59 UTC
• On demand: workflow_dispatch (manual run from Actions tab)

Required Secrets

• METRICS_TOKEN: recommended to use a classic PAT for best compatibility with lowlighter/metrics
• STOCK_TOKEN (optional): required only for asset/stock.svg

Recommended METRICS_TOKEN scopes (classic PAT)

• public_repo
• read:user
• read:org
• repo (needed if you want broader/private-repo data; otherwise some panels may show Insufficient token scopes)

Metrics include:

• GitHub Activity: Commits, PRs, issues, and repository statistics
• Code Analytics: Language distribution, coding habits, and contribution patterns
• Market Data: Stock prices and trading-related metrics
• Social Metrics: Stargazers, reactions, and community engagement

Quick Troubleshooting

• Insufficient token scopes on base.svg: usually caused by token permissions; regenerate METRICS_TOKEN with scopes above.
• Unexpected error on specific panels: run workflow manually once after token refresh; if still failing, disable that panel temporarily and re-enable incrementally.
• Missing stock.svg: check STOCK_TOKEN exists and is valid.

Last updated: Auto-refreshed daily at 01:59 UTC

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Open to opportunities in Quantitative Trading | Fintech | Web3 Infrastructure