autoglm-stock-analysis

Generate structured stock research reports using market data and web sources.

Updated May 4, 2026
One-click install
npx skills add https://github.com/234194027-cpu/xianclaw --skill autoglm-stock-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoglm-stock-analysis
Source: https://github.com/234194027-cpu/xianclaw/tree/main/resources/skills/autoglm-stock-analysis
Command: npx skills add https://github.com/234194027-cpu/xianclaw --skill autoglm-stock-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you perform reliable stock investment research and produce structured analysis when you ask about stocks, securities, funds, or market commentary.

Core Features & Use Cases

  • Stock information gathering & validation: Combines websearch.py, open-link.py, and yfinance to collect background, extract webpage text, and verify real-time/near-real-time行情数据.
  • Comprehensive research outputs: Produces an organized report covering fundamental analysis, market sentiment, and an integrated evaluation for different investor styles.
  • Scoping rule for chart requests: Any K-line / candlestick or technical chart interpretation (daily/weekly/monthly, etc.) is explicitly delegated to autoglm-image-recognition.
  • Ticker recovery workflow: When the user provides only a company name without a ticker, it instructs a search-first process (find code via web search, confirm via open authoritative pages, then proceed with yfinance).

Quick Start

Ask: analyze "AAPL" including fundamentals, recent news impact, valuation metrics, and a buy/sell timing assessment, and include an end disclaimer.

Frequently Asked Questions about autoglm-stock-analysis

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

FAQPage Schema
How do I generate a stock research report with fundamentals and news sentiment?

To generate a stock research report, this tool combines web search, webpage content extraction, and yfinance market data validation to produce structured outputs covering fundamental analysis, news sentiment, and valuation metrics for equities and funds.

Can I analyze stocks using only a company name without knowing the ticker symbol?

Yes, you can analyze stocks using only a company name. The tool employs a ticker recovery workflow that searches the web to find the stock code, confirms it via authoritative pages, and then proceeds with yfinance data retrieval for the analysis.

Does this stock analysis tool support K-line or technical chart interpretation?

No, this stock analysis tool does not support K-line or technical chart interpretation. Any candlestick or chart-based visual analysis is explicitly delegated to the autoglm-image-recognition component, while this tool focuses on fundamental and textual research.

What is the best way to compare multiple stocks or get a sector overview?

The best way to compare multiple stocks or get a sector overview is by requesting a multi-stock comparison or sector overview task. The tool gathers real market data and authoritative textual context to deliver an organized fundamental and sentiment evaluation.

How does fundamental stock analysis work when real-time market data is required?

Fundamental stock analysis works by coordinating web search for background context and yfinance for real-time market data validation. It retrieves financial metrics and recent news to produce an integrated evaluation tailored for different investor styles.

Why should I not use this approach for visual technical analysis of daily market trends?

You should not use this approach for visual technical analysis because it is strictly scoped to textual and fundamental research. Daily, weekly, or monthly K-line chart interpretations are limitations delegated to image recognition components.