skills.rest
jeremylongshore
jeremylongshoreCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

stock_analyst

Orchestrate a three-stage stock analysis pipeline for a ticker symbol.

2|Updated Mar 17, 2026
Search Tags:#automation#finance#pipeline#analyze#stock#sentiment
One-click install
npx skills add https://github.com/jeremylongshore/oss-agent-lab --skill stock-analyst-jeremylongshore
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stock_analyst
Source: https://github.com/jeremylongshore/oss-agent-lab/tree/main/agents/specialists/stock_analyst
Command: npx skills add https://github.com/jeremylongshore/oss-agent-lab --skill stock-analyst-jeremylongshore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates a three-stage stock analysis pipeline for a requested ticker symbol, delivering a unified view combining fundamentals, technical indicators, and sentiment insights.

Core Features & Use Cases

  • Three-stage analysis: fundamental analysis, technical indicators, and sentiment scoring for a given ticker.
  • Unified results: merges all layers into a single structured response with a comprehensive summary.
  • Output versatility: supports Python API, CLI, MCP server, agent skills, and REST API for integration.

Quick Start

Ask the stock_analyst specialist to analyze ticker AAPL with a 1y lookback.

Frequently Asked Questions about stock_analyst

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

FAQPage Schema
How do I run a complete stock analysis pipeline for a specific ticker symbol?▼

You can perform end-to-end stock analysis by providing a ticker symbol and lookback period. The pipeline executes fundamental, technical, and sentiment analysis stages, returning a unified structured result with a comprehensive summary.

What is the best way to combine technical indicators and news sentiment for equity research?▼

A three-stage stock analysis pipeline merges fundamental data, technical indicators, and news sentiment scoring into a single unified structured result, providing comprehensive decision support for on-demand equity research.

Can I integrate automated stock analysis into an existing Python API or CLI workflow?▼

Yes, automated stock analysis supports output versatility via Python API, CLI, MCP server, agent skills, and REST API, enabling seamless integration into existing automation workflows for on-demand financial research.

Does the stock analysis pipeline support customized lookback periods and specific technical indicators?▼

Yes, the pipeline handles parameters for ticker, period, days, and indicators, allowing customized lookback periods and specific technical indicators to generate deterministic fundamental, technical, and sentiment insights.

What limitations should I expect when running automated sentiment and technical analysis on equities?▼

Limitations of automated equity analysis depend on available news sentiment data and the specified lookback period. The pipeline relies on deterministic tools for technical indicators and sentiment scoring, requiring valid ticker symbols and adequate historical data.

Related Skills

Explore More Finance & Accounting Skills→
ekkus93ekkus93

yahoo-finance

Fetch a stock or ETF snapshot from Yahoo Finance using yfinance.

Community
Intermediate
IgorGanapolskyIgorGanapolsky
38

Sentiment Analyzer

Aggregate news, social, and market sentiment into composite scores for trading decisions.

Community
Advanced
jayjpatel9717jayjpatel9717

sentiment-analysis

Analyze financial news and social media sentiment with Python libraries.

Community
Advanced
Canhada-LabsCanhada-Labs
2

equity-research

Conduct structured equity research with compliance checks and audit logs.

Official
Advanced