A comprehensive data skill set for querying Chinese convertible bond lists, fundamental information, and historical market trends.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ftshare-cb-data
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 ftshare-cb-data 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 FTShare-cb-data?
FTShare-cb-data serves as a unified routing entry point for accessing high-fidelity financial data from the market.ft.tech platform. It is specifically designed to provide AI agents with the ability to retrieve detailed information on the Chinese convertible bond market, ranging from overarching bond lists to specific stock conversion metrics and historical price action. By utilizing these Openclaw Skills, developers can build robust financial monitoring tools and automated research workflows.
The skill set simplifies complex API interactions into a single routing script, allowing for seamless transitions between different data types such as basic fundamentals and granular candlestick data. It ensures that the AI agent has the technical truth needed to perform deep financial analysis without requiring manual data sourcing.
FTShare-cb-data Use Cases
- Fetching a complete directory of active Chinese convertible bonds including exchange codes.
- Retrieving specific bond details like conversion prices, maturity dates, and issuance sizes.
- Analyzing historical price trends for convertible bonds using various time intervals.
- Determining historical trading dates to set precise windows for time-series data analysis.
How FTShare-cb-data Works
- The AI agent parses the user's financial query to identify the required data type (e.g., a list, specific details, or historical prices).
- The system maps the intent to one of the internal sub-skills such as cb-lists or cb-candlesticks.
- The agent calculates the absolute path to the run.py entry point relative to the SKILL.md file.
- A Python command is executed, passing the sub-skill name and any necessary parameters like symbol codes or date ranges.
- The skill queries the market.ft.tech backend and returns a structured JSON response.
- The AI agent processes the JSON output to generate human-readable tables or analytical summaries for the user.
FTShare-cb-data Setup
To integrate these Openclaw Skills into your environment, ensure you have Python installed and the skill directory is accessible. No additional API headers are required for the base domain.
# Navigate to the skill directory
# Example: Get the full list of convertible bonds
python run.py cb-lists
# Example: Get details for a specific bond code
python run.py cb-base-data --symbol_code 110070.SH
FTShare-cb-data Data Schema & Taxonomy
The skill organizes market data into four primary functional areas, each returning structured JSON objects:
| Sub-skill | Scope | Primary Data Fields |
|---|---|---|
| cb-lists | Global Directory | Bond Code, Stock Code, Full Name, Exchange |
| cb-base-data | Bond Fundamentals | Conversion Price, Value, Maturity Date, Issue Size |
| cb-candlesticks | Market Performance | OHLC Data, Volume, Timestamp (supports Minute to Year) |
| get-nth-trade-date | Financial Calendar | Nth Trading Date calculation |
All timestamps for K-line data are handled in milliseconds for high-precision time-series mapping.
FTShare-cb-data Advanced Features
- Unified Router Architecture: Centralized access via run.py ensures consistent execution across different environments.
- Multi-Interval Support: Candlestick data can be fetched for Minute, Minute5, Day, Week, Month, and Year intervals.
- Price Adjustment Options: Support for Forward and Backward adjustment kinds for accurate historical price analysis.
- Automated Date Offsetting: Integrated trading date logic to handle market holidays and non-trading days automatically.
SKILL.md
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