An advanced financial intelligence skill for AI agents to perform multi-dimensional stock analysis, viral trend detection, and portfolio management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stock-analysis-6
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 stock-analysis-6 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 Stock Analysis?
The Stock Analysis skill is a comprehensive financial toolkit designed to empower AI agents with deep market insights. By integrating this capability into Openclaw Skills, developers and traders can automate the monitoring of US stocks and cryptocurrencies using professional-grade data sources like Yahoo Finance, SEC EDGAR, and CoinGecko. The skill provides a sophisticated 8-dimension scoring system that evaluates everything from earnings surprises and fundamentals to social sentiment and insider activity.
Built for high-performance financial research, this tool allows Openclaw Skills to identify market-moving rumors and viral trends before they reach mainstream media. It bridges the gap between raw data and actionable intelligence, offering specialized scanners for mergers and acquisitions, analyst upgrades, and social whispers on platforms like Twitter/X. Whether you are managing a long-term portfolio or looking for short-term momentum, this skill provides the necessary technical and fundamental oversight.
Stock Analysis Use Cases
- Identify high-impact M&A rumors and insider buying activity before they hit the headlines.
- Automatically track viral stocks and trending cryptocurrencies via the Hot Scanner.
- Manage complex investment portfolios with detailed dividend safety scores and income ratings.
- Monitor market sentiment using advanced sub-indicators like the Fear & Greed index and Put/Call ratios.
- Set automated price alerts and signal change notifications for watchlists.
How Stock Analysis Works
- The user or agent triggers a command such as /stock or /stock_rumors to initiate a market scan.
- The skill connects to multiple data APIs, including Yahoo Finance for pricing and SEC EDGAR for insider filings.
- The 8-dimension analysis engine processes technical indicators, fundamental health, and sector strength to calculate a weighted score.
- For rumors, an impact scoring algorithm ranks potential market movements on a scale of 1-10 based on source reliability and engagement.
- The agent generates a structured report with actionable buy/sell/hold signals and specific risk warnings like overbought RSI or geopolitical keywords.
Stock Analysis Setup
To integrate this capability into your Openclaw Skills environment, ensure you have the uv package manager installed. Use the following commands to get started:
# Install the uv package manager
brew install uv
# Run a basic analysis on a ticker
uv run scripts/analyze_stock.py AAPL
# For social sentiment, install the optional bird CLI
npm install -g @steipete/bird
Configuration files and environment variables for Twitter/X authentication should be placed in your local environment to enable full social scanning features.
Stock Analysis Data Schema & Taxonomy
The skill maintains local JSON databases to ensure persistent tracking across sessions within Openclaw Skills. Data is organized as follows:
| File | Path | Description |
|---|---|---|
| Portfolios | ~/.clawdbot/skills/stock-analysis/portfolios.json | Stores holdings, cost basis, and quantity data. |
| Watchlist | ~/.clawdbot/skills/stock-analysis/watchlist.json | Tracks tickers, price targets, and stop-loss levels. |
| Metadata | SKILL.md | Defines command structures and automated installation requirements. |
Stock Analysis Advanced Features
- Rumor Scanner: Detects early signals for M&A, takeover bids, and SEC investigations.
- Impact Scoring: Quantifies the potential market effect of rumors to prioritize high-value signals.
- Hot Scanner: Multi-source aggregation from Google News, CoinGecko, and Yahoo Finance to find viral movers.
- Performance Optimization: Supports --fast and --no-insider flags to reduce API latency during high-frequency checks.
- Risk Detection: Automated warnings for pre-earnings volatility, post-spike exhaustion, and geopolitical stress factors.
SKILL.md
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