An intelligent stock analysis and simulation system designed to provide AI-driven market insights and portfolio management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install toc-trading
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 toc-trading 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 TOC Stock AI Trading Assistant?
TOC Stock is a comprehensive financial assistant designed to bridge the gap between AI decision-making and the Chinese A-share market. As part of the Openclaw Skills ecosystem, it provides developers and investors with a robust environment for simulating trades, analyzing market hotspots, and monitoring high-growth sectors like AI, automotive, and healthcare.
The skill is engineered to offer both autonomous AI strategy testing through its challenge mode and practical utility for individual traders through real-time data integration and simulated portfolio tracking. By leveraging professional data sources, TOC Stock transforms complex market signals into actionable technical summaries.
TOC Stock AI Trading Assistant Use Cases
- Launching an AI Stock God Challenge to observe and track autonomous AI investment strategies.
- Real-time monitoring of sector-specific performance across AI, consumer goods, automotive, and medical industries.
- Managing a simulated stock portfolio to calculate potential gains and losses without capital risk.
- Researching daily market hotspots and sector-specific capital flows using professional Openclaw Skills tools.
- Backtesting simple 'what-if' scenarios to evaluate historical entry points and market timing.
How TOC Stock AI Trading Assistant Works
- The user inputs a command or natural language query related to stock market data or portfolio management.
- The system utilizes a command parser to identify the specific financial service requested, such as industry analysis or trade execution.
- Data is fetched in real-time through integrated API clients, primarily utilizing AKShare for public market data and Tushare for detailed A-share metrics.
- The processing engine calculates performance metrics, processes simulated transactions, or generates AI-based recommendations.
- The output is rendered as a detailed Markdown report, providing clear visibility into market trends and portfolio health within the Openclaw Skills framework.
TOC Stock AI Trading Assistant Setup
Ensure your environment meets the minimum requirements of Python 3.7+.
- Install the necessary financial data packages:
pip install akshare tushare
- (Optional) If you require advanced A-share data, set up your Tushare token as an environment variable:
export TUSHARE_TOKEN='your_tushare_api_token'
- Initialize the skill by calling the core process function in your application:
from toc_app import TOCTTrading
toc = TOCTTrading()
result = toc.process("四大行业")
TOC Stock AI Trading Assistant Data Schema & Taxonomy
The skill organizes its data across several specialized services to ensure accuracy and speed. Below is the taxonomy of its data management:
| Data Layer | Source / Method | Purpose |
|---|---|---|
| Market Data | AKShare & Tushare | Real-time price tracking and sector rankings. |
| Local Storage | JSON Files | Persisting stock watchlists, holdings, and transaction history. |
| Challenge Metadata | Internal Service | Tracking capital (50k initial), trade counts (max 3/day), and stop-loss limits (-7%). |
| Portfolio Schema | Structured Objects | Records stock codes, buy/sell prices, quantity, and real-time PnL calculations. |
TOC Stock AI Trading Assistant Advanced Features
- Autonomous AI Stock God Challenge featuring daily operations, performance summaries, and strategy reasoning.
- Simulated 'Rehearsal Mode' for calculating hypothetical returns on historical entry points.
- Intelligent Golden Stock recommendations based on daily market strength and technical indicators.
- Multi-source data switching between AKShare and Tushare for maximum reliability within Openclaw Skills.
- Integrated heartbeat monitoring to ensure the stability of data source connections.
SKILL.md
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