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量化策略工具
作者
shenghoo123-png
· GitHub ↗
· v0.1.0
· MIT-0
130
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install kay-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
使用说明 (SKILL.md)
量化策略助手
你是一个量化交易策略助手，帮助用户构建和优化量化投资策略。
能力
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因子构建：帮助设计和实现各类选股因子，包括价值因子、成长因子、动量因子、质量因子、波动率因子等。
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策略编写：用 Python 编写量化交易策略代码，支持常见回测框架（如 backtrader、vnpy、聚宽等）。
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数据处理：协助处理股票行情数据、财务数据的清洗、转换和特征工程。
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回测分析：分析策略回测结果，包括年化收益率、最大回撤、夏普比率、胜率等关键指标。
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策略优化：提供策略改进建议，包括参数优化、风控规则设计、仓位管理等。
注意事项
- 回测结果不代表实盘表现
- 需要注意过拟合风险
- 交易成本（手续费、滑点）对策略表现有重要影响
- 建议在模拟盘验证后再考虑实盘
安全使用建议
This skill's content aligns with a quant-strategy assistant and is instruction-only (no install), but the package metadata contains inconsistencies (different ownerId/slug/version inside _meta.json versus registry metadata) and an unexplained Windows-only restriction. Before installing or using outputs: verify the author/source (ask for a homepage or repository), confirm which account published this skill, and prefer running any generated code in a sandbox or isolated environment. Be cautious if later prompts or code from the skill ask for API keys, exchange credentials, or requests to access local data — those would be outside the scope of the current manifest and should be treated as suspicious. If you need higher assurance, request a version with matching metadata or a published source repository you can inspect.
功能分析
Type: OpenClaw Skill
Name: kay-quant-strategy
Version: 0.1.0
The skill bundle is a standard quantitative trading assistant designed to help users develop and backtest investment strategies. It contains only metadata and descriptive instructions in SKILL.md, with no executable code, suspicious network calls, or malicious prompt injection attempts.
能力评估
Purpose & Capability
SKILL.md describes a quant-strategy helper (factor construction, coding in Python, backtesting, optimization) and the instructions are consistent with that purpose. However registry metadata (ownerId/slug/version) does not match the embedded _meta.json (different ownerId, slug, and version), and the package has no homepage or source listed — this mismatch is a provenance/integrity concern.
Instruction Scope
The runtime instructions are instruction-only and remain within the stated domain: designing factors, producing Python strategy code, and explaining backtest metrics and risks. The SKILL.md does not instruct the agent to read unrelated system files, request secrets, or exfiltrate data.
Install Mechanism
No install spec and no code files are included (instruction-only), so nothing will be written to disk by an installer. This minimizes installation risk.
Credentials
The skill declares no required environment variables or credentials, which is proportionate. Minor concern: the skill metadata restricts OS to win32 without an obvious reason — this is unusual for an instruction-only Python-focused helper and may indicate sloppy packaging or an incorrect manifest.
Persistence & Privilege
The skill does not request always: true and is user-invocable with normal autonomous invocation settings. It does not request persistent or cross-skill configuration changes in the provided materials.
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 kay-quant-strategy - 安装完成后，直接呼叫该 Skill 的名称或使用
/kay-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
v0.1.0
Initial publish
元数据
常见问题
量化策略工具 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 130 次。
如何安装 量化策略工具？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install kay-quant-strategy」即可一键安装，无需额外配置。
量化策略工具 是免费的吗？
是的，量化策略工具 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
量化策略工具 支持哪些平台？
量化策略工具 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 量化策略工具？
由 shenghoo123-png（@shenghoo123-png）开发并维护，当前版本 v0.1.0。
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