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Quant Trading CN
by
Guohongbin
· GitHub ↗
· v1.0.0
7260
Downloads
1
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0
Active Installs
1
Versions
Install in OpenClaw
/install quant-trading-cn
Description
量化交易专家 - 基于印度股市实战经验，支持策略生成、回测、实盘交易（Zerodha/A股适配）
Usage Guidance
Review carefully before installing or using this with real broker credentials. Keep it to paper trading or read-only analysis unless you add explicit live-trading opt-in, per-order ownership checks, dry-run previews, confirmation gates, and strict limits on which files and broker resources the assistant may touch.
Capability Analysis
Type: OpenClaw Skill
Name: quant-trading-cn
Version: 1.0.0
The skill bundle is designed to assist in building quantitative trading bots, involving interaction with live trading APIs and local file system operations. While the extensive documentation (KNOWLEDGE.md, NUANCES.md) focuses on secure and robust development practices, the skill explicitly instructs the AI agent to execute local shell scripts (`./scripts/wizard.sh`, `./scripts/universe-fetch.sh`, `./scripts/check-code.sh`) as described in `SKILL.md` and `README.md`. The content of these scripts is not provided, and their direct execution introduces a potential vulnerability surface (e.g., shell injection) if not properly secured. This inherent risk of executing unknown shell code, even if the stated purpose is legitimate, leads to a 'suspicious' classification.
Capability Assessment
Credentials
Broker API credentials, market-data downloads, local trading-code analysis, logs, caches, and state files are broadly purpose-aligned, but account-wide liquidation and order cancellation are not proportionate without tighter scoping and user control.
Install Mechanism
The packaged artifact contains Markdown and JSON only, with no bundled executable scripts or install hooks inspected; however, referenced documentation recommends mutable external install paths such as unpinned npx and git clone commands.
Instruction Scope
The skill presents code-checking and auto-fix workflows plus live-trading examples, but the most risky shutdown pattern closes all positions and cancels all open or trigger-pending orders without showing ownership checks, dry-run behavior, or explicit confirmation.
Persistence & Privilege
No OS-level persistence, privilege escalation, scheduled tasks, or hidden background workers were found; the documented persistent files are trading bot configuration, .env credentials, logs, caches, state, and backups.
Purpose & Capability
The stated purpose is coherent for quantitative trading guidance, but the artifact goes into live Zerodha broker operations, credential setup, bot generation, and account-affecting order examples that can cause real financial loss.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quant-trading-cn - After installation, invoke the skill by name or use
/quant-trading-cn - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - Quantitative trading expert based on Indian market experience
Metadata
Frequently Asked Questions
What is Quant Trading CN?
量化交易专家 - 基于印度股市实战经验，支持策略生成、回测、实盘交易（Zerodha/A股适配）. It is an AI Agent Skill for Claude Code / OpenClaw, with 7260 downloads so far.
How do I install Quant Trading CN?
Run "/install quant-trading-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quant Trading CN free?
Yes, Quant Trading CN is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Quant Trading CN support?
Quant Trading CN is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Quant Trading CN?
It is built and maintained by Guohongbin (@guohongbin-git); the current version is v1.0.0.
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