stock-analysis

Integrate eight analytical dimensions into a single stock scoring framework.

Updated Apr 7, 2026

Search Tags:#portfolio #scoring #risk-management #watchlist #stock-analysis #dividends #market-sentiment

Ready to run

npx skills add https://github.com/zhangyanbo2007/openclaw --skill stock-analysis-zhangyanbo2007

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stock-analysis
Source: https://github.com/zhangyanbo2007/openclaw/tree/main/workspace-fox-avatar/skills/stock-analysis
Command: npx skills add https://github.com/zhangyanbo2007/openclaw --skill stock-analysis-zhangyanbo2007

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yfinance, pandas, fear-and-greed, edgartools, feedparser, pytest, and includes scripts (resource) components.

What problem does it solve?

Stock analysis can be overwhelming due to data noise and conflicting signals; this Skill provides a structured, multi-dimensional framework to synthesize data into actionable investment insights across equities and crypto.

Core Features & Use Cases

8-dimension analysis across earnings, fundamentals, analysts, historical patterns, market context, sector, momentum, and sentiment.
Portfolio management & watchlists with alerts to monitor holdings and trigger actions.
Dividend analysis to evaluate yield, payout stability, and growth.
Hot Scanner & rumor scanner to detect viral trends and early signals.
Real-world scenario: quickly assess a stock you’re considering by running a full multi-dimensional analysis and deciding to buy, hold, or sell.

Quick Start

Run uv run scripts/analyze_stock.py AAPL to generate a full stock analysis.

Frequently Asked Questions about stock-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run a multi-dimensional stock analysis on a specific ticker?▼

Run a full stock analysis by passing a ticker symbol to the analyze_stock.py script, generating a multi-dimensional scoring framework across eight analytical dimensions.

What dimensions are evaluated in a comprehensive stock scoring framework?▼

The framework synthesizes earnings, fundamentals, analyst ratings, historical patterns, market context, sector, momentum, and sentiment into a unified scoring system.

Does this stock analysis approach support cryptocurrency assets?▼

Yes, the framework supports both equities and select cryptocurrencies, integrating sentiment and momentum dimensions for comprehensive portfolio tracking.

Can I track my portfolio and receive alerts for watchlist stocks?▼

Yes, the framework includes portfolio management and watchlists with alerts to monitor holdings, trigger actions, and evaluate dividend yield and payout stability.

How do I detect viral market trends and early rumor signals?▼

Use the hot scanner and rumor scanner components to detect viral trends and early signals by fetching async sentiment data and market context.

What data handling limitations should I consider during stock analysis?▼

The framework uses caching and async sentiment fetching but communicates clear caveats regarding risk and limitations, requiring robust data handling for accuracy.