A curated collection of quantitative developer projects including order book simulation, tick data replay, ETL pipelines, internal dashboards, and explainability engines — built for high-frequency trading and quant infrastructure/platform engineer role.
- Simulates order flow and book dynamics under HFT settings
- Replays historical tick data with adjustable latency and concurrency
- Extracts, transforms, and loads large-scale financial datasets
- Web-based dashboard for pipeline monitoring and signal visualization
- Provides feature contribution & model transparency reports
Languages: Python, SQL Tools: Pandas, NumPy, FastAPI, Plotly/Dash, Redis, PostgreSQL Infra: Docker, GitHub Actions, AWS (optional)
🗂️ Folder Structure
quant-projects/
│
├── order-book-simulator/
├── tick-data-replay-engine/
├── quant-etl-pipeline/
├── internal-quantops-dashboard/
├── data-explainability-engine/
└── README.md
🔗 Portfolio Integration
Each project links to:
-
📄 Detailed README
-
🛠 Architecture & Performance Highlights
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✅ Unit/Integration Tests
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📊 Visual/Interactive Outputs (for dashboard projects)
A Notion-based Project Management Page and Portfolio Page are included for daily tasks, notes, and interview sharing (links coming soon).
🧑💻 Built by Rosalyn Xiaoqing | London-based Quant Platform Developer | GitHub Profile