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Install in OpenClaw
/install quant-trading
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quant-trading - After installation, invoke the skill by name or use
/quant-trading - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is 量化交易知识?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 1376 downloads so far.
How do I install 量化交易知识?
Run "/install quant-trading" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 量化交易知识 free?
Yes, 量化交易知识 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 量化交易知识 support?
量化交易知识 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 量化交易知识?
It is built and maintained by eonelv (@eonelv); the current version is v1.0.0.
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