A comprehensive market intelligence skill for Openclaw Skills that enables AI agents to perform symbol resolution, real-time quote checks, and risk-aware financial analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yahoo
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 yahoo 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 Yahoo Finance Assistant?
The Yahoo skill for Openclaw Skills empowers developers to build sophisticated financial agents capable of interacting with real-time market data. It provides a structured framework for fetching price panels, resolving ambiguous ticker symbols, and generating multi-ticker briefings across various asset classes including stocks, ETFs, ADRs, and crypto pairs.
This skill focuses on grounded data and deterministic outputs, moving beyond simple price checks to incorporate risk-aware thesis framing. By integrating with local memory, it allows agents to maintain context over watchlists and historical decisions while ensuring that sensitive financial research remains private and machine-local.
Yahoo Finance Assistant Use Cases
- Performing fast symbol resolution to map company names to specific tradable instruments.
- Generating pre-market or post-market briefings for a basket of tickers to identify leaders and laggards.
- Constructing falsifiable investment theses with explicit catalyst timing and invalidation points.
- Maintaining a local watchlist with persistent notes on market benchmarks and volatility limits.
How Yahoo Finance Assistant Works
- The user initiates a request for market data or analysis through an agent using Openclaw Skills.
- The skill resolves the exact ticker symbol using a search script to avoid ambiguous or incorrect instrument analysis.
- Python-based scripts fetch real-time price data and headline statistics directly from Yahoo Finance endpoints.
- The agent applies built-in risk guardrails and thesis templates to frame the data within the user's specific time horizon.
- If the user opts in, the resulting brief or decision is stored in the local file system for future session continuity.
Yahoo Finance Assistant Setup
To integrate this skill into your environment, ensure you have python3 installed and outbound network access enabled for Yahoo Finance endpoints. Follow these steps to initialize the Openclaw Skills components:
# Search for a symbol to verify connectivity
python3 yahoo_search.py "Nvidia"
# Fetch a real-time quote for a specific ticker
python3 yahoo_quote.py NVDA
# Generate a multi-ticker briefing
python3 yahoo_brief.py AAPL MSFT TSLA
Yahoo Finance Assistant Data Schema & Taxonomy
The skill organizes local state within the ~/yahoo/ directory to provide continuity for Openclaw Skills workflows:
| Component | File | Purpose |
|---|---|---|
| Memory | memory.md |
Activation preferences, market scope, and preferred answer styles. |
| Watchlist | watchlist.md |
Ranked tickers, benchmarks, and historical catalyst notes. |
| Briefing Log | briefing-log.md |
Archive of pre-market, post-market, and event-driven reports. |
| Decisions | decisions.md |
Documentation of thesis, risk invalidation, and post-trade reviews. |
Yahoo Finance Assistant Advanced Features
- Multi-ticker side-by-side comparison logic to surface market outliers and extreme movers.
- Automated catalyst window detection for earnings, macro releases, and regulatory events.
- Risk-first decision architecture that prioritizes liquidity and volatility limits over upside potential.
- Seamless integration with related Openclaw Skills for macroeconomics and news verification.
SKILL.md
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