A professional-grade financial market data skill providing real-time quotes, historical trends, and fundamental analysis across global asset classes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install finloop-mktdata-skills
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 finloop-mktdata-skills 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 flp_mktdata?
flp_mktdata is a high-performance financial intelligence skill designed to integrate seamlessly into the Openclaw Skills framework. It enables AI agents to query a vast range of global financial instruments including stocks, indices, mutual funds, bonds, and digital assets using natural language. By providing both real-time market snapshots and deep historical K-line data, it serves as an essential resource for developers building financial advisors, market monitoring bots, or automated research agents.
This skill goes beyond simple price tracking by offering comprehensive company profiles, shareholder structures, and key financial metrics like ROE and EPS. It is specifically optimized for efficiency, mandating direct HTTP communication to ensure that AI agents interact with the market data hub with minimal latency and maximum reliability.
flp_mktdata Use Cases
- Real-time price monitoring and volatility alerts for HK, US, and A-share stock markets.
- Conducting deep fundamental research on listed companies including main business analysis and financial ratios.
- Tracking mutual fund performance and Net Asset Value (NAV) history using ISIN identifiers.
- Analyzing fixed-income instruments by retrieving bond yields, coupon rates, and maturity dates.
- Generating historical market trend reports and K-line visualizations for technical analysis.
How flp_mktdata Works
- The AI agent identifies a financial query (e.g., "Get the latest price for AAPL").
- The agent prepares a direct HTTP POST request to the specialized API endpoint.
- A JSON payload is constructed containing the asset identifier such as a ticker (AAPL.US) or ISIN.
- The request is sent to the Finloop Market Data Hub using headers configured for application/json.
- The skill returns a structured data object containing the requested market metrics or company info.
- The AI agent parses this response to provide a technical summary or data-driven recommendation.
flp_mktdata Setup
To install this skill, use the following command in your terminal:
npx finloop-mktdata-skills install finloop-mktdata-skill
Configuration involves setting the Base URL to https://papi-uat.finloopg.com/flp-mktdata-hub for testing. Developers must ensure that the agent uses direct HTTP calls (fetch, axios, or curl) rather than local wrapper functions to comply with the skill architecture requirements within Openclaw Skills.
flp_mktdata Data Schema & Taxonomy
The skill interacts via a set of structured POST endpoints. The data taxonomy is organized as follows:
| Asset Class | Identifier Format | Primary Endpoints |
|---|---|---|
| Stocks | Code (e.g., 00700.HK) | /v1/stock/quote, /v1/stock/history |
| Companies | Ticker (e.g., AAPL.US) | /v1/stock/company/info |
| Funds | ISIN (e.g., HK0000584752) | /v1/fund/info, /v1/fund/nav |
| Bonds | ISIN (e.g., US912810TV08) | /v1/bond/info, /v1/bond/latest-price |
Responses include standard financial fields such as price, chgPct (change percentage), mktCap (market cap), and vol (volume).
flp_mktdata Advanced Features
- Global coverage across multiple exchanges including Hong Kong (HK), United States (US), and Mainland China (SH/SZ).
- Full-spectrum company intelligence covering both listed and non-listed entity profiles.
- Multi-asset support including commodities, forex, and virtual assets for diversified portfolio tracking.
- High-granularity historical data retrieval with support for daily and weekly K-line types.
- Direct protocol architecture optimized for the Openclaw Skills environment to prevent abstraction overhead.
SKILL.md
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