A sophisticated AI agent skill that conducts adversarial bull-versus-bear debates to provide deep, data-driven insights into the A-share stock market.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install a-stock-debate
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install a-stock-debate using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Stock Debate: Advanced A-Share Market Analysis?
The stock-debate skill is a high-performance tool designed for the Openclaw Skills ecosystem, specifically engineered to provide structural investment briefs for the Chinese A-share market. By simulating a rigorous debate between virtual bull and bear researchers, the skill moves beyond simple data reporting to provide a deep, dialectical analysis of any given stock ticker. It synthesizes real-time market data, historical K-line trends, financial indicators, and capital flow to help traders understand the core conflicts in a stock's valuation.
Built for developers and serious investors, this skill leverages a multi-model approach, utilizing glm-4-flash for rapid data synthesis and glm-5 for complex reasoning and final decision-making. It ensures that every investment recommendation is backed by a transparent logic chain and rigorous cross-examination, making it a premier choice among Openclaw Skills for financial intelligence.
Stock Debate: Advanced A-Share Market Analysis Use Cases
- Conducting deep-dive research on specific A-share stocks using the debate trigger.
- Identifying hidden risks through adversarial bear-case simulations.
- Generating structured investment briefs that include target prices and stop-loss levels.
- Analyzing 60-day technical trends alongside 10-day capital flow data.
- Evaluating fundamental health using ROE, net profit margins, and debt-to-asset ratios.
How Stock Debate: Advanced A-Share Market Analysis Works
- Trigger & Proxy Initialization: The agent activates upon stock-specific commands and initiates a local proxy (mihomo) to bypass regional data restrictions for specific financial endpoints.
- Multi-Source Data Collection: A Python-based engine fetches real-time quotes from Tencent Finance, capital flows from East Money, and historical indicators via AkShare.
- Fundamental & Technical Baselining: The glm-4-flash model processes the raw data to create an initial summary of the stock's financial health and technical chart patterns.
- Adversarial Debate Phase: The glm-5 model assumes two roles—a bull researcher and a bear researcher—who compete over two rounds of rebuttals to identify the strongest arguments and most critical risks.
- Synthesis & Decision: The agent aggregates the debate findings into a final recommendation, including position sizing, timeframes, and a confidence rating.
- Cleanup: The skill automatically terminates proxy services to ensure system resources are restored and security is maintained.
Stock Debate: Advanced A-Share Market Analysis Setup
To integrate this into your environment, ensure you have the necessary API keys and proxy tools configured.
# Set your environment variables
export STOCK_PROXY="http://127.0.0.1:7890"
export GLM_API_KEY="your_bigmodel_api_key"
# Install required Python dependencies
pip install requests akshare
# Ensure the mihomo (Clash Meta) binary is available at /tmp/mihomo_bin
# and your configuration is at /tmp/mihomo_config.yaml
Stock Debate: Advanced A-Share Market Analysis Data Schema & Taxonomy
The skill organizes data into a structured hierarchy for LLM consumption:
| Data Type | Source | Purpose |
|---|---|---|
| Real-time Quotes | Tencent Finance | Current price, PE ratio, Market Cap |
| Historical K-Line | Tencent Finance | 60-day trend analysis and moving averages |
| Capital Flow | East Money | 10-day main force and retail flow tracking |
| Financial Indicators | Tushare/AkShare | ROE, Net Profit, Debt ratios, and Revenue growth |
| Debate Metadata | Internal LLM | Reasoning logs, rebuttal scores, and confidence levels |
Stock Debate: Advanced A-Share Market Analysis Advanced Features
- Adversarial Reasoning: Uses a dual-agent debate system to eliminate confirmation bias.
- Dynamic Proxy Management: Automatically toggles high-performance proxies only during sensitive data collection phases.
- Multi-Model Orchestration: Routes simpler tasks to flash models while reserving advanced reasoning for flagship models to optimize token usage.
- Structured Brief Generation: Outputs a complete Markdown report with tables, risk warnings, and actionable trading parameters.
- Token Budgeting: Implements data summarization techniques to keep complex debate workflows within a 30,000-token limit.
SKILL.md
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