I work at the intersection of quantitative finance, AI agents, and financial education. My GitHub is where I turn research papers, market data, and investment workflows into reproducible tools.
- Building agentic workflows for alpha research, portfolio analysis, and financial reporting.
- Developing practical tooling around WorldQuant BRAIN, QuantConnect, Thai SEC Open Data, and research-paper-to-code pipelines.
- Writing and teaching applied quant + AI workflows for investors, builders, and finance teams.
| Project | What it does | Start here if you care about |
|---|---|---|
| quant-investment-papers | Curated research library for alpha, factors, algorithmic trading, and portfolio management. | Finding serious papers faster. |
| brain-paper-to-alpha-plugin | Claude Code / Codex plugin for turning papers into WorldQuant BRAIN alpha research workflows. | Agentic alpha research. |
| sec-opendata-th | Python client and agent plugin for Thailand SEC OpenAPI data. | Thai fund, NAV, factsheet, and SEC data automation. |
| quantcoder-plugin | Agent-native wrapper for research-paper-to-QuantConnect workflows. | Moving from paper ideas to LEAN-style implementation. |
| finrobot-plugin | Claude Code / Codex adapter for FinRobot-style financial research and report generation. | Structured financial analysis workflows. |
| self-driving-portfolio-skill | Multi-agent strategic asset allocation workflow using macro data and portfolio research. | Portfolio construction with agentic research loops. |
Research papers -> alpha hypotheses -> reproducible experiments -> decision-ready analysis
- WorldQuant BRAIN alpha proposal pipelines.
- Research-paper-to-code systems for quant developers.
- AI-assisted investment research and reporting.
- Financial education products for Thai investors and AI builders.
I am most interested in collaborations around quant research automation, AI agents for finance, market data tooling, and practical investor education.