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版本数
在 OpenClaw 中安装
/install rqalpha
功能描述
RQAlpha 米筐开源事件驱动回测框架 - 支持A股和期货，模块化架构，可自由扩展。
安全使用建议
This package appears to be a straightforward wrapper/documentation for the RQAlpha backtesting library. Before installing, consider: (1) install and run it inside a virtualenv or container to isolate dependencies; (2) verify you trust the pip package source and version (rqalpha>=5.0.0) and review its upstream repository if you need assurance; (3) note that rqalpha download-bundle will fetch market data from external sources — ensure you are comfortable with network access and data provenance; (4) minor metadata mismatches (version strings/owner IDs in included files) look cosmetic but you may want to confirm the publisher if provenance is important.
功能分析
Type: OpenClaw Skill
Name: rqalpha
Version: 1.0.2
The skill bundle provides documentation and examples for the RQAlpha open-source backtesting framework. It includes standard installation instructions, API references, and a simple demo script (demo_project/demo.py). No malicious code, data exfiltration, or harmful prompt injection attempts were found; the instructions in SKILL.md actually promote best practices for AI agents such as data validation and error handling.
能力评估
Purpose & Capability
Name/description, README, SKILL.md and requirements.txt all describe an RQAlpha backtesting skill. Required binaries (python3) and listed Python package dependencies are appropriate for the stated purpose.
Instruction Scope
SKILL.md instructs installing rqalpha via pip, downloading data bundles, running backtests, and using the library API. It does not direct reading unrelated files, collecting environment secrets, or sending data to unexpected endpoints.
Install Mechanism
There is no automatic install spec (instruction-only). The docs instruct the user to pip install rqalpha and to run rqalpha download-bundle — standard for a Python library. requirements.txt lists expected packages.
Credentials
The skill requests no environment variables, credentials, or config paths. The dependencies are typical Python packages required for a backtesting toolkit.
Persistence & Privilege
always is false and the skill does not request persistent or elevated agent privileges, nor does it modify other skills or system-wide agent settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install rqalpha - 安装完成后，直接呼叫该 Skill 的名称或使用
/rqalpha触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.2
- Added example directory demo_project with sample files.
- Included demo_project/README.md for documentation of the example project.
- Provided demo_project/demo.py as a code example for quickstart or demonstration purposes.
v1.0.1
Version 1.1.0 is a documentation and localization update.
- SKILL.md rewritten from English to Chinese, making documentation easier for Chinese-speaking users.
- Maintains all core usage examples, API references, best practices, and error troubleshooting in Chinese.
- Expanded common error explanations and performance metric descriptions.
- No code or functional changes—only documentation updates.
v1.0.0
Initial release of rqalpha skill — modular event-driven backtesting framework
- Provides documentation for installation, strategy structure, and running backtests for China A-share and futures markets.
- Describes order functions (buy/sell by shares, lots, value, percent, target portfolio) and data query functions.
- Includes portfolio and position access methods with context usage examples.
- Documents scheduling functions for daily, weekly, and monthly tasks.
- Outlines modular (mod) system for plugins such as performance analysis, simulation, transaction costs, and risk management.
- Offers complete code samples for advanced strategy examples (dual moving average, multi-stock rebalancing).
元数据
常见问题
rqalpha 是什么？
RQAlpha 米筐开源事件驱动回测框架 - 支持A股和期货，模块化架构，可自由扩展。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 332 次。
如何安装 rqalpha？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rqalpha」即可一键安装，无需额外配置。
rqalpha 是免费的吗？
是的，rqalpha 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
rqalpha 支持哪些平台？
rqalpha 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 rqalpha？
由 coderwpf（@coderwpf）开发并维护，当前版本 v1.0.2。
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