
FinLab AI
SkillOfficial FinLab quant skill: lets agents use FinLab data (mainly Taiwan stocks, plus US, Japan, Korea and Hong Kong) to write stock-picking strategies, run backtests and analyze factors. Needs a FinLab account (free tier has a daily data cap), Python 3.10+ and uv. Not investment advice.
FinLab AI
Let AI discover your next alpha.
FinLab AI is an official product of FinLab. FinLab official website: https://finlab.finance
Installation
curl -sSf https://ai.finlab.finance/install.sh | sh
Auto-detects your CLI (Claude Code / Codex / Gemini), installs uv if needed, and sets up the skill.
MCP Server
A hosted, read-only MCP server (streamable HTTP) is available — no install required:
claude mcp add --transport http finlab https://mcp.finlab.finance/mcp
Tools: list_strategies, get_strategy (with Python code), get_stock_evidence, get_data_catalog, get_finlab_docs (this skill's docs, always in sync with main), how_to_start. Listed on the MCP Registry as io.github.koreal6803/finlab-ai (see server.json). The old finlab-ai.koreal6803.workers.dev endpoint is retired.
Documentation
| Document | Content |
|---|---|
| Data Reference | 900+ columns across 80+ tables |
| Backtesting Reference | sim() API, resampling, metrics |
| Factor Examples | 60+ complete strategy examples |
| Best Practices | Patterns, anti-patterns, tips |
| ML Reference | Feature engineering, labels |
Learn more
- Quant trading guide (量化交易): what quantitative trading is, a Taiwan-stock strategy backtester, and a platform comparison.
- Program trading guide (程式交易): how program trading works, three backtest-verified Taiwan-stock strategies, and an auto-trading walkthrough.
- Stock selection guide (股票選股): factor-based stock picking with real backtests, from single factors to multi-factor composites.
- Strategy research blog: backtest-verified Taiwan-stock strategy reports (CAGR, Sharpe, max drawdown).
- Website: finlab.finance
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