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Install in OpenClaw
/install rqalpha
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rqalpha - After installation, invoke the skill by name or use
/rqalpha - Provide required inputs per the skill's parameter spec and get structured output
Version History
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).
Metadata
Frequently Asked Questions
What is rqalpha?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 332 downloads so far.
How do I install rqalpha?
Run "/install rqalpha" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is rqalpha free?
Yes, rqalpha is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does rqalpha support?
rqalpha is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created rqalpha?
It is built and maintained by coderwpf (@coderwpf); the current version is v1.0.2.
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