Stock Analysis Agent for Openclaw

A comprehensive financial intelligence engine for Openclaw Skills providing deep-dive stock scoring, crypto tracking, and automated rumor detection.

ylfy-ljl
v1.0.0
Apr 30, 2026
0
631
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install auto-test-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 auto-test-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 Stock Analysis Agent?

This Stock Analysis skill is a high-performance financial toolset designed for Openclaw Skills. It enables AI agents to conduct sophisticated 8-dimensional evaluations of US equities and the top 20 cryptocurrencies. By leveraging data from Yahoo Finance, CoinGecko, and SEC EDGAR, the skill provides technical metrics, fundamental analysis, and sentiment indicators in a single unified workflow.

Built for developers and power users within the Openclaw Skills ecosystem, it bridges the gap between raw market data and actionable intelligence. The tool includes advanced modules like the Hot Scanner for viral trend detection and a Rumor Scanner that identifies early market signals, M&A activity, and insider trades before they reach mainstream news outlets.

Stock Analysis Agent Use Cases

  • Performing multi-ticker comparisons to identify relative strength within specific market sectors.
  • Setting automated alerts for price targets, stop losses, and signal changes (e.g., Buy to Sell transitions).
  • Identifying viral crypto and stock trends using the social sentiment Hot Scanner integrated with Openclaw Skills.
  • Conducting deep-dive dividend analysis to evaluate payout safety, growth CAGR, and yield quality.
  • Detecting pre-market rumors and insider buying activity to anticipate high-impact market moves.

How Stock Analysis Agent Works

  1. The AI agent executes a command (e.g., /stock or /stock_hot) which triggers specialized Python scripts managed via uv.
  2. The skill fetches real-time and historical financial data from Yahoo Finance and aggregates social signals from Twitter and Google News.
  3. A multi-dimensional scoring engine applies weights to variables like earnings surprise (30%), fundamentals (20%), and analyst sentiment (20%).
  4. For rumors, the system scans SEC filings and social whispers, assigning an Impact Score from 1-10 based on potential market volatility.
  5. Results are persisted to local JSON storage for portfolio and watchlist management within the Openclaw Skills directory.

Stock Analysis Agent Setup

To integrate this capability into your Openclaw Skills environment, ensure you have the uv package manager installed for dependency handling.

# Install the required uv package manager
brew install uv

# Run a basic stock analysis
uv run scripts/analyze_stock.py AAPL

# (Optional) For Twitter/X sentiment, install bird
npm install -g @steipete/bird

Configure optional environment variables in your .env file for full Rumor Scanner and Twitter integration functionality.

Stock Analysis Agent Data Schema & Taxonomy

Data for this skill is organized in a structured JSON format to ensure compatibility with other Openclaw Skills.

File Path Purpose
Portfolios ~/.clawdbot/skills/stock-analysis/portfolios.json Stores assets, quantities, and cost basis
Watchlist ~/.clawdbot/skills/stock-analysis/watchlist.json Tracks tickers, price targets, and alert states
Metadata Skill Manifest Defines emoji triggers and installation bins

Stock Analysis Agent Advanced Features

  • Rumor Impact Scoring: Automatically ranks market whispers based on potential impact, weighting M&A rumors and insider buying higher.
  • Fast Mode: Use the --fast flag to skip resource-heavy SEC scraping for rapid sub-3-second stock summaries.
  • Dividend Safety Scoring: A specialized 0-100 score evaluating the sustainability of corporate payouts.
  • Hot Scanner: An automated trend discovery engine that aggregates data across Yahoo Finance, CoinGecko, and social media.
  • Risk Detection: Built-in warnings for high RSI (overbought), pre-earnings volatility, and geopolitical risk keywords.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*