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Install in OpenClaw
/install miniqmt
Description
miniQMT 极简量化交易终端 - 支持外接Python获取行情数据和程序化交易，基于xtquant SDK。
Usage Guidance
This skill appears to do what it says: it is a wrapper/docs for the xtquant SDK to connect to a locally running miniQMT Windows client for market data and trading. Before installing or running it: (1) confirm you actually have a miniQMT client and broker permission (the instructions expect Windows and a userdata_mini folder); (2) verify the xtquant package source (pip install xtquant) — prefer the official PyPI package or vendor-provided binaries and review its code if you have doubts; (3) be cautious when pointing the skill/agent to your userdata_mini path because it may contain sensitive broker configuration or credentials and allowing write/read access enables programmatic trading; (4) run first in an isolated/test environment (use a read-only copy of userdata or a test account) to confirm behavior; (5) if you need a stricter policy, restrict the agent so it cannot autonomously run trades or access your real userdata directory until manually authorized. If you can provide the actual xtquant package origin or a signed binary, I could raise confidence further; conversely, if xtquant were pulled from an untrusted URL rather than PyPI, that would increase risk.
Capability Analysis
Type: OpenClaw Skill
Name: miniqmt
Version: 1.0.3
The skill bundle provides a legitimate interface for the miniQMT quantitative trading terminal using the xtquant SDK. It includes comprehensive documentation (xtdata.md, xttrader.md) and code examples for market data retrieval and trade execution. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found; the instructions in SKILL.md are strictly aligned with the stated purpose of quantitative trading.
Capability Assessment
Purpose & Capability
The name/description, SKILL.md, docs, and demo all consistently describe using the xtquant Python SDK to connect to a locally running miniQMT (Windows) client for market data and trading. The declared requirement (python3) is appropriate. Minor mismatch: the documentation and examples assume a Windows miniQMT client and a Windows userdata_mini path, but the skill metadata does not restrict OS; this is an operational note rather than a security mismatch.
Instruction Scope
Runtime instructions tell users/agents to pip install xtquant and to connect to a local miniQMT service and to provide a path to the userdata_mini folder. Those steps are necessary for programmatic trading and data access. Important: the instructions require access to a local userdata directory (path) which may contain broker-related data/config; that access is expected for trading functionality but is sensitive and should be granted deliberately. No instructions attempt to call remote endpoints other than the documented xtquant APIs.
Install Mechanism
This is an instruction-only skill with no install spec; it suggests 'pip install xtquant' at runtime. No downloads from arbitrary URLs or archive extraction are included in the skill bundle. That is low-risk in terms of install mechanism, but users should verify the provenance of the xtquant package on PyPI or the chosen source.
Credentials
The skill requests no environment variables and requires only python3. However, it expects access to the local miniQMT userdata path (userdata_mini) and to the miniQMT service; these local files may contain credentials/tokens or broker configuration. Access to those local files is proportionate to the stated trading purpose, but it is sensitive and should be granted only if you trust the skill and the xtquant package.
Persistence & Privilege
The skill is not marked always:true and does not request system-wide persistence or modification of other skills. It uses normal autonomous invocation defaults but does not request elevated or permanent privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install miniqmt - After installation, invoke the skill by name or use
/miniqmt - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
- Added a sample demo project directory with README.md and a demo.py example.
- Provides users with a practical starting point for developing and testing with miniQMT.
v1.0.2
Version 1.2.0 (major update with full Chinese localization)
- Fully translated documentation and usage instructions to Chinese.
- All feature tables, guides, code, and comparisons now use Chinese terminology.
- Kept technical examples and API signatures consistent with prior versions.
- Added common broker installation paths and stock code format explanations in Chinese.
- Restructured examples and workflow steps for clarity in Chinese.
v1.0.1
**miniQMT 1.1.0 — Documentation and Reference Expansion Update**
- Added comprehensive documentation and quick reference files (QUICK_REFERENCE.md, README.md).
- Included detailed technical markdown guides covering API usage: xtdata.md and xttrader.md.
- Provided explicit metadata definitions and Python dependency management (requirements.txt, metadata.json, _meta.json).
- Updated the skill description and instructions for improved clarity and coverage of features.
- No functional code changes; this release focuses on documentation and user onboarding improvements.
v1.0.0
Initial release of miniqmt: a lightweight quantitative trading terminal supporting external Python via xtquant SDK.
- Provides a minimal Windows service for market data and trading through external Python scripts
- Supports a range of Chinese brokers for A-shares, ETFs, convertible bonds, futures, options, and margin trading
- Users connect by installing the xtquant SDK and linking Python scripts to miniQMT over localhost
- Includes setup instructions and key API usage examples for both historical data and trading functionality
- Describes capabilities vs full QMT, supported data types, trading operations, and integration workflow
Metadata
Frequently Asked Questions
What is miniQMT?
miniQMT 极简量化交易终端 - 支持外接Python获取行情数据和程序化交易，基于xtquant SDK。 It is an AI Agent Skill for Claude Code / OpenClaw, with 610 downloads so far.
How do I install miniQMT?
Run "/install miniqmt" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is miniQMT free?
Yes, miniQMT is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does miniQMT support?
miniQMT is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created miniQMT?
It is built and maintained by coderwpf (@coderwpf); the current version is v1.0.3.
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