by ALAGENT-HKU · AI 工具 · ★ 282
X2Strategy Any Research Input → Strategy Spec → Executable Code → Backtest → Diagnosis []() Getting Started · How It Works · Examples · Docs · 简体中文 Turn quantitative finance research — papers, drafts, reports, or strategy ideas — into validated, executable trading strategies. Automatically. Highlights 🔬 Multi-Format Input — PDF papers, Markdown drafts, DOCX reports, plain text. Auto-detected. 🧠 5-Layer LLM Extraction — Multi-strategy detection → indicators → signal logic → execution plan → risk controls.
| Stars | 282 |
| Forks | 47 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 64.6802573847091/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-12 |
| Created | 2026-03-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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x2strategy is Extract structured strategy specifications from quantitative finance research papers — Agent Skill for GitHub Copilot & Claude Code. It is categorized as a AI 工具 with 282 GitHub stars.
x2strategy is primarily written in Python.
You can find installation instructions and usage details in the x2strategy GitHub repository at github.com/ALAGENT-HKU/x2strategy. The project has 282 stars and 47 forks, indicating an active community.