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Quant Trading CN
by
Guohongbin
· GitHub ↗
· v1.0.0
6313
Downloads
1
Stars
43
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 before installing. Do not run the referenced scripts or clone-and-run the upstream project unless you separately inspect that code. Treat any generated bot as untrusted until tested in paper/backtest mode, keep broker credentials out of shared files, set strict capital and risk limits, and require explicit confirmation before any live order placement.
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
Purpose & Capability
The quant-trading purpose is clear and disclosed, but the package advertises bot generation, backtesting, live trading, and automatic code fixes while the submitted bundle contains only documentation and no reviewed implementation for the referenced tools.
Instruction Scope
Most actions are user-directed, but the docs include relative commands for absent scripts plus live broker order patterns, including emergency market orders, without a strong paper-trading or explicit live-order approval boundary in the artifact.
Install Mechanism
The artifact has no scripts directory, yet SKILL.md and README.md tell users to run ./scripts/wizard.sh, ./scripts/universe-fetch.sh, and ./scripts/check-code.sh; reference docs also describe cloning and running an external upstream repo that is not pinned or reviewed here.
Credentials
Python, market-data API access, local caches, and broker credentials are proportionate for a trading skill, but live Zerodha credentials are highly sensitive and should be handled outside shared files or chat.
Persistence & Privilege
The reference material describes persisted positions, order IDs, logs, caches, and .env credentials; this is purpose-aligned for trading reconciliation but can influence future live trades if stale or tampered with.
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 6313 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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