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Install in OpenClaw
/install quant-strategy
Description
辅助编写和回测量化交易策略，支持因子分析
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quant-strategy - After installation, invoke the skill by name or use
/quant-strategy - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Quant Strategy?
辅助编写和回测量化交易策略，支持因子分析. It is an AI Agent Skill for Claude Code / OpenClaw, with 1905 downloads so far.
How do I install Quant Strategy?
Run "/install quant-strategy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quant Strategy free?
Yes, Quant Strategy is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Quant Strategy support?
Quant Strategy is cross-platform and runs anywhere OpenClaw / Claude Code is available (win32).
Who created Quant Strategy?
It is built and maintained by afengzi (@afengzi); the current version is v1.0.0.
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