A comprehensive A-share market data tool for retrieving historical K-line patterns and minute-by-minute price movements.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ftshare-kline-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-kline-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 K-Line Data?
FTShare K-Line Data is a specialized suite of Openclaw Skills designed to provide developers and AI agents with high-fidelity financial data for the Chinese A-share market. Powered by non-convex technology (market.ft.tech), this skill acts as a unified entry point for querying daily, weekly, monthly, and yearly OHLC (Open, High, Low, Close) data, alongside critical technical indicators like MA5, MA10, and MA20.
Beyond historical K-lines, the skill enables deep intraday analysis through minute-level price tracking. Whether you are building a trading assistant or a market research bot, Openclaw Skills like this one provide the raw JSON data needed to generate professional-grade charts and trend analysis directly within an AI workflow.
FTShare K-Line Data Use Cases
- Analyzing historical price trends for specific A-share stocks (e.g., 688295.XSHG).
- Generating technical indicator reports including Moving Averages (MA5/10/20).
- Visualizing intraday price movements with minute-by-minute data.
- Comparing current trading day performance against previous closing prices.
- Researching volume and turnover trends over custom time horizons.
How FTShare K-Line Data Works
- The AI agent identifies the user's intent, such as a request for historical K-lines or real-time trends.
- The system locates the unified entry point using the absolute path of the SKILL.md file and maps it to the run.py script.
- The agent selects the appropriate sub-skill: stock-ohlcs for period data or stock-prices for minute-level data.
- A subprocess call is made to run.py with the necessary parameters (ticker symbol, time span, limits).
- The skill fetches data via HTTP GET from market.ft.tech with the required X-Client-Name headers.
- The resulting JSON payload is parsed and presented to the user as a formatted table or insight summary.
FTShare K-Line Data Setup
To integrate this into your environment, ensure you have Python installed and access to the Openclaw Skills directory.
# Example of querying 50 days of K-line data
python run.py stock-ohlcs --stock 688295.XSHG --span DAY1 --limit 50
# Example of querying intraday minute-level prices
python run.py stock-prices --stock 000001.XSHG --since TODAY
FTShare K-Line Data Data Schema & Taxonomy
The skill returns structured JSON data categorized by the sub-skill used:
| Data Type | Fields Included |
|---|---|
| OHLC Data | Open, High, Low, Close, Volume, Turnover, MA5, MA10, MA20 |
| Price Data | Minute-level Price, Average Price, Volume, Turnover, Timestamp |
| Metadata | Previous Close, Current Trading Day Status, Stock Ticker |
FTShare K-Line Data Advanced Features
- Support for multiple time spans including DAY1, WEEK1, MONTH1, and YEAR1.
- Flexible look-back periods for intraday data using FIVE_DAYS_AGO or custom TRADE_DAYS_AGO(n).
- High-precision millisecond timestamping for accurate time-series alignment.
- Integrated Moving Average calculations (MA5/10/20) provided directly by the API response.
SKILL.md
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