equity-research

Generate equity research snapshots from consensus estimates, fundamentals, prices, and macro data.

3|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/matparang/AutoJaga --skill equity-research-matparang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: equity-research
Source: https://github.com/matparang/AutoJaga/tree/main/legacy/jagabot/skills/lseg-equity-research
Command: npx skills add https://github.com/matparang/AutoJaga --skill equity-research-matparang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate comprehensive equity research snapshots by integrating analyst consensus estimates, company fundamentals, historical prices, and macro data from MCP tools.

Core Features & Use Cases

  • Real-time news and analyst opinions are pulled via web_search_mcp and incorporated into the thesis.
  • Consolidates consensus estimates with company fundamentals and price history to support investment theses.
  • Produces structured research snapshots suitable for quick review and decision-making, with scenario analysis and risk factors.

Quick Start

Ask the AI to generate a complete equity research snapshot for a chosen ticker using current MCP data.

Frequently Asked Questions about equity-research

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

FAQPage Schema
How do I generate an equity research snapshot using consensus estimates and fundamentals?

Generate an equity research snapshot by integrating IBES consensus estimates, company fundamentals, historical prices, and macro data via MCP tools into a structured report with scenario analysis and risk factors.

What's the best way to compare analyst consensus versus actuals for a specific ticker?

Compare analyst consensus versus actuals by pulling IBES consensus estimates alongside company fundamentals and historical equity prices, allowing you to evaluate forecast accuracy and build a data-driven investment thesis.

Can I incorporate real-time news and analyst opinions into my investment thesis?

Incorporate real-time news and analyst opinions by leveraging the web_search_mcp tool to fetch current market sentiment, which is then consolidated with fundamentals and price history to support your investment thesis.

How do I build a complete investment thesis with macroeconomic data and price history?

Build a complete investment thesis by retrieving historical pricing summaries and macroeconomic indicators through MCP tools, combining them with financial data to produce a structured research snapshot for decision-making.

Does this equity research approach require any specific dependencies or environment setup?

This equity research approach requires no specific dependencies or environment setup, relying solely on available MCP tools like qa_ibes_consensus, qa_company_fundamentals, and qa_macroeconomic to assemble the structured report.

What data sources are needed to analyze company financials and historical equity prices?

Analyze company financials and historical equity prices using MCP tools such as qa_company_fundamentals, qa_historical_equity_price, and tscc_historical_pricing_summaries to consolidate data for quick review and decision-making.