Finnhub Market Data Skill for Openclaw

A robust read-only market data integration providing real-time quotes, technical candles, and financial news for AI agents.

samlin425
v0.2.0
Mar 30, 2026
0
780
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install finnhub-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install finnhub-skill 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 Finnhub Market Data Skill?

The Finnhub market data skill enables AI agents to retrieve institutional-grade financial information across various asset classes including stocks, forex, and cryptocurrencies. By leveraging the comprehensive Finnhub API, this skill empowers developers to build sophisticated financial research tools within the Openclaw Skills ecosystem. It serves as a dedicated execution layer for pulling price quotes, company profiles, earnings calendars, and global economic data.

Designed for efficiency and security, the skill operates in a read-only mode, ensuring that AI agents can analyze market trends without the risk of unauthorized account modification. Whether you are generating automated daily stock reports or tracking macroeconomic indicators, this skill provides the structured data necessary for high-accuracy financial intelligence and decision support.

Finnhub Market Data Skill Use Cases

  • Retrieving real-time price quotes and percentage changes for global tickers.
  • Generating historical candle data (OHLCV) for technical analysis and charting.
  • Accessing detailed company profiles, including market cap, industry, and IPO data.
  • Monitoring global economic calendars and corporate earnings schedules.
  • Creating automated daily stock reports that combine price action with news sentiment.
  • Searching for company-specific news or general market trends to inform trading narratives.

How Finnhub Market Data Skill Works

  1. The AI agent receives a financial query and identifies the need for market data via Openclaw Skills.
  2. The skill validates the presence of a configured Finnhub API key in the environment.
  3. The execution layer invokes the bundled Python script with the appropriate command such as quote, candles, or news.
  4. The script fetches raw data from the official Finnhub API endpoints using secure HTTPS protocols.
  5. Data is processed into a human-readable summary or raw JSON format based on the user's specific request flags.
  6. The AI agent presents the synthesized market insights or formatted reports to the user.

Finnhub Market Data Skill Setup

To use this skill within Openclaw Skills, you must provide your Finnhub API credentials via environment variables.

export FINNHUB_API_KEY=your_api_key

Optionally, you can override the base URL if you are using a specific API version:

export FINNHUB_BASE_URL=https://finnhub.io/api/v1

Ensure you have the execution script available and can run it via Python:

python3 scripts/finnhub.py quote --symbol AAPL

Finnhub Market Data Skill Data Schema & Taxonomy

The skill returns structured data categorized by query type to maintain high data integrity within Openclaw Skills:

Feature Fields Returned
Quote Symbol, Price, Absolute Change, % Change, High/Low/Open, Prev Close
Profile Company Name, Ticker, Exchange, Market Cap, Industry, Website, IPO Date
News Headline, Source, Published Timestamp, URL, Short Summary
Candles OHLCV values, Volume, Resolution, Start/End Timestamps

Finnhub Market Data Skill Advanced Features

  • Automated Daily Stock Reports: Built-in workflow to combine price summaries with the most relevant news and trader-style interpretation.
  • Flexible Data Output: Support for a --raw flag to allow AI agents to process full JSON payloads for complex data analysis.
  • Comprehensive Economic Coverage: Access to both corporate earnings calendars and global economic event schedules.
  • Multi-Asset Reference Data: Support for crypto and forex pairs alongside traditional equity markets.
  • Security-First Design: Strict read-only operations and URL validation to prevent data leakage or unauthorized host access.

SKILL.md


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