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Quant Trading CN
作者
Guohongbin
· GitHub ↗
· v1.0.0
6313
总下载
1
收藏
43
当前安装
1
版本数
在 OpenClaw 中安装
/install quant-trading-cn
功能描述
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）
安全使用建议
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.
功能分析
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.
能力评估
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.
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 quant-trading-cn - 安装完成后，直接呼叫该 Skill 的名称或使用
/quant-trading-cn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
v1.0.0
Initial release - Quantitative trading expert based on Indian market experience
元数据
常见问题
Quant Trading CN 是什么？
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）. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 6313 次。
如何安装 Quant Trading CN？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quant-trading-cn」即可一键安装，无需额外配置。
Quant Trading CN 是免费的吗？
是的，Quant Trading CN 完全免费（开源免费），可自由下载、安装和使用。
Quant Trading CN 支持哪些平台？
Quant Trading CN 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 Quant Trading CN？
由 Guohongbin（@guohongbin-git）开发并维护，当前版本 v1.0.0。
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