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在 OpenClaw 中安装
/install quant-trading
功能描述
量化交易知识与技能。包括多因子选股、技术指标、经典策略（双均线、网格交易、突破策略）、套利策略、回测框架（Backtrader）、风险指标等。用于回答量化交易相关问题、股票分析、策略建议等。
安全使用建议
This skill is an informational, instruction-only skill focused on quantitative trading and appears coherent and low-risk as delivered. Before using it for live trading: (1) do not provide any broker/API credentials unless you verify a legitimate, documented integration and that credentials are scoped (read-only vs trading); (2) treat strategy suggestions as educational — backtest with your own data including fees, slippage, and realistic execution constraints; (3) verify any real-time data sources the agent uses and confirm the agent/platform’s network access policies; (4) if the skill is later updated to include downloads, install scripts, or requests for environment variables, re-evaluate (such changes would raise risk); (5) consider regulatory/compliance requirements for automated trading in your jurisdiction and avoid running strategies with real money until thoroughly tested.
功能分析
Type: OpenClaw Skill
Name: quant-trading
Version: 1.0.0
The skill bundle provides educational content and templates for quantitative trading, including risk metrics and strategy descriptions. It contains no executable code, network calls, or instructions that suggest malicious intent or data exfiltration. All content is aligned with the stated purpose of stock analysis and trading education.
能力评估
Purpose & Capability
The skill's name and description (quant trading knowledge, strategies, backtesting, risk metrics) align with the provided instructions and reference files. All declared content (strategy templates, indicators, data sources) matches the stated purpose; there are no unrelated requirements (no unexpected env vars, binaries, or config paths).
Instruction Scope
SKILL.md and references contain only educational content, analysis templates, and strategy pseudocode. The instructions do not tell the agent to read local files, access system credentials, or transmit data to unknown endpoints. They only mention common public data sources (eastmoney.com, exchanges) and typical trading interfaces (QMT/掘金) in context, which is appropriate for the skill's purpose.
Install Mechanism
There is no install specification and no code files to write or execute. Being instruction-only minimizes disk/write risk and there are no download URLs or package installs to evaluate.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a knowledge/education skill. Note: if the skill were later extended to connect to brokers or data APIs, credentials would then be expected and should be scoped minimally.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system privileges. It does not modify other skills or system-wide settings; autonomous invocation is enabled (platform default) but that is expected for skills and not by itself a concern here.
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 - 安装完成后，直接呼叫该 Skill 的名称或使用
/quant-trading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 of quant-trading skill.
- Provides core quantitative trading knowledge for stock analysis, strategy recommendations, and learning guidance.
- Covers multi-factor stock selection, technical indicators, classic strategies (double moving average, grid trading, breakout strategies, momentum), and arbitrage.
- Includes risk control methods like position management, stop-loss, and profit-taking.
- Offers a template for buy/sell analysis and suggestions.
- Reference to popular data sources and structured learning route.
元数据
常见问题
量化交易知识 是什么？
量化交易知识与技能。包括多因子选股、技术指标、经典策略（双均线、网格交易、突破策略）、套利策略、回测框架（Backtrader）、风险指标等。用于回答量化交易相关问题、股票分析、策略建议等。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1376 次。
如何安装 量化交易知识？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quant-trading」即可一键安装，无需额外配置。
量化交易知识 是免费的吗？
是的，量化交易知识 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
量化交易知识 支持哪些平台？
量化交易知识 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 量化交易知识？
由 eonelv（@eonelv）开发并维护，当前版本 v1.0.0。
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