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在 OpenClaw 中安装
/install quant-strategy
功能描述
辅助编写和回测量化交易策略，支持因子分析
安全使用建议
This skill appears coherent and instruction-only, so it doesn't demand credentials or install anything. Before using: (1) review any code the assistant generates before executing it (especially if it performs network I/O or system calls); (2) never paste API keys, broker credentials, or other secrets into chats — if you connect to data/broker APIs later, use secure credential storage; (3) be aware backtest results are not guarantees of live performance and validate strategies in a sandbox or paper-trading environment; (4) note the skill metadata restricts OS to win32, but since it's instruction-only that mostly affects any platform-specific advice the assistant might give.
功能分析
Type: OpenClaw Skill
Name: quant-strategy
Version: 1.0.0
The quant-strategy skill bundle is a standard assistant designed for quantitative trading strategy development and backtesting. The SKILL.md file contains only high-level instructions and descriptions of capabilities such as factor construction and data processing, with no executable code, suspicious network activity, or prompt injection attempts.
能力评估
Purpose & Capability
Name/description: 'Quant Strategy' — SKILL.md instructs the agent to help design factors, write Python strategies, process data, run/interpret backtests and suggest optimizations. There are no declared binaries, env vars, or config paths that would be unexpected for this purpose.
Instruction Scope
Instructions stay within the stated domain (strategy design, code examples, metrics). The skill does not instruct the agent to read local files, access system paths, or exfiltrate data. Note: the skill may sensibly recommend using market-data or broker APIs (which typically require credentials) but it does not request or handle any secrets itself.
Install Mechanism
No install spec and no code files — instruction-only skill. This is low-risk because nothing is written to disk by the skill package itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. That matches the instruction-only nature and the described functionality.
Persistence & Privilege
always:false and default invocation settings. The skill does not request permanent presence or modification of other skill/system configurations.
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-strategy - 安装完成后，直接呼叫该 Skill 的名称或使用
/quant-strategy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
quant-strategy 1.0.0
- Initial release of quant-strategy.
- Assists with building and backtesting quantitative trading strategies.
- Supports factor construction and analysis (e.g., value, growth, momentum, quality, volatility).
- Helps with strategy code in Python and data preprocessing.
- Provides backtest performance analysis and strategy optimization suggestions.
- Includes important disclaimers regarding risks and trading costs.
元数据
常见问题
Quant Strategy 是什么？
辅助编写和回测量化交易策略，支持因子分析. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1905 次。
如何安装 Quant Strategy？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quant-strategy」即可一键安装，无需额外配置。
Quant Strategy 是免费的吗？
是的，Quant Strategy 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Quant Strategy 支持哪些平台？
Quant Strategy 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（win32）。
谁开发了 Quant Strategy？
由 afengzi（@afengzi）开发并维护，当前版本 v1.0.0。
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