A comprehensive financial data skill providing real-time market index details, K-line charts, and minute-level pricing data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ftshare-index-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-index-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 Index Data?
FTShare Index Data is a specialized financial intelligence tool designed for Openclaw Skills to fetch and analyze global and domestic stock market indices. It provides a unified entry point to access detailed market information from market.ft.tech, ranging from basic index descriptions to high-frequency price movements. This skill is essential for developers and traders who need structured financial data for market monitoring, trend analysis, and automated financial reporting.
The tool operates through a robust routing system that maps natural language queries to specific sub-skills, ensuring high accuracy in retrieving symbols, price points, and historical performance metrics. By integrating this into your workflow, you gain programmatic access to essential financial indicators like PE/PB ratios and moving averages (MA5/MA10/MA20).
FTShare Index Data Use Cases
- Monitoring real-time price fluctuations and change rates for major stock indices like the SSE Composite or CSI 300.
- Generating historical performance reports using daily, weekly, or monthly K-line data (OHLC).
- Analyzing market valuation trends through bulk retrieval of PB and PE TTM ratios.
- Conducting intra-day technical analysis using minute-level pricing and trade volume data.
- Filtering and ranking market indices based on performance metrics to identify top-moving assets.
How FTShare Index Data Works
- The system identifies the absolute path of the SKILL.md file and locates the centralized run.py execution script.
- User intent is mapped to a specific sub-skill (e.g., index-detail or index-ohlcs) based on the query content.
- If a fuzzy index name is provided, the skill first calls index-description-all to resolve the unique index symbol (e.g., 000001.XSHG).
- The run.py script executes the selected sub-skill with the necessary parameters, making a secure API request to the FT market backend.
- The raw JSON response is parsed and formatted into structured tables or summaries for the user.
FTShare Index Data Setup
To use FTShare Index Data within Openclaw Skills, ensure you have Python installed and the skill directory is accessible. All scripts include the required X-Client-Name: ft-web headers by default.
# Locate the execution script
# <RUN_PY> is the absolute path to run.py in the skill folder
# Example: Get details for a specific index
python <RUN_PY> index-detail --index 000001.XSHG
# Example: Get K-line data for a specific period
python <RUN_PY> index-ohlcs --index 000001.XSHG --span DAY1 --limit 50
FTShare Index Data Data Schema & Taxonomy
The skill organizes financial data into several key taxonomies to ensure clarity and precision in analysis:
| Data Category | Fields Included |
|---|---|
| Basic Info | Symbol (Code), Full Name, Short Name, PB, PE_TTM |
| Market Detail | Current Point, Change Amount, Change Rate, Volume, Turnover |
| OHLC Data | Open, High, Low, Close, Volume, Amount, MA5, MA10, MA20 |
| Time Series | Timestamps (ms), Price Points (since today/trade days ago) |
| Metadata | Trade Dates, Pagination info (page_no, page_size) |
FTShare Index Data Advanced Features
- Multi-period K-line support including daily, weekly, monthly, and yearly spans.
- Flexible time-traveling queries using trade date offsets (get-nth-trade-date) to calculate relative time windows.
- Advanced filtering and sorting for paginated index lists (e.g., sorting by change_rate or filtering by custom masks).
- High-frequency data access via minute-level price points for intra-day trend analysis.
- Automated symbol resolution that handles human-readable names and converts them to standardized market codes.
SKILL.md
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