By koreal6803
Develop, backtest, and analyze quantitative trading strategies for Taiwan stocks using FinLab: access market data, run factor research, execute workflows, and display charts/results directly in your environment.
npx claudepluginhub koreal6803/finlab-aiLet AI discover your next alpha.
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.
| 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 |
FinLab quantitative trading skills for global stock markets (TW, US, KR, JP, HK) - includes strategy development, backtesting, data analysis, and factor research
Share bugs, ideas, or general feedback.
Shioaji Taiwan financial trading API guide. Provides comprehensive documentation for stocks, futures, and options trading with real-time market data.
Backtest trading strategies with historical data, performance metrics, and risk analysis
A-share market data query skills for tushare-cli: stock, index, concepts, sector rotation, financials, futures, forex
Quantitative research metrics: SOTA evaluation for range bars, Sharpe ratios with daily aggregation, ML prediction quality (IC, autocorrelation), crypto-specific considerations
Build and deploy agentic finance applications on the Alva platform. Access 250+ financial data sources, run cloud-side analytics, backtest trading strategies, and publish interactive playbooks.