By koreal6803
Develop and backtest quantitative trading strategies for global stock markets (TW, US, KR, JP, HK) using FinLab's Python package, including market data access, factor research, universe construction, and ETF rotation workflows.
Let AI discover your next alpha.
FinLab AI is an official product of FinLab. FinLab official website: https://finlab.finance
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 |
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npx claudepluginhub koreal6803/finlab-ai金融量化框架
量化交易策略開發
Shioaji Taiwan financial trading API guide. Covers Python native binding (sync/async), CLI tool, HTTP API server with SSE streaming, dashboard, and multi-language SDK integration (JS/TS, Go, C/C++, C#, Rust, Java/Kotlin) for TWSE/TPEX/TAIFEX markets.
Backtest trading strategies with historical data, performance metrics, and risk analysis
迅投 QMT 量化交易 AI 技能集:因子回测脚本生成(后续将补充期货交易、实盘模板、信号推送等技能)
Mine, evaluate, backtest, benchmark, and report on quantitative alpha factors with the FactorMiner research engine