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equity-research

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

1|Updated Feb 1, 2026
Search Tags:#financial data#stock analysis#equity research#macro analysis#IBES consensus
One-click install
npx skills add https://github.com/mouseqiao85/AI-Plat --skill equity-research-mouseqiao85
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: equity-research
Source: https://github.com/mouseqiao85/AI-Plat/tree/main/agent/skills/.github_imports/financial-services/plugins/partner-built/lseg/skills/equity-research
Command: npx skills add https://github.com/mouseqiao85/AI-Plat --skill equity-research-mouseqiao85

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires qa_ibes_consensus, qa_company_fundamentals, qa_historical_equity_price, tscc_historical_pricing_summaries, qa_macroeconomic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of manually synthesizing equity research data from various sources, streamlining the process of generating comprehensive stock research snapshots.

Core Features & Use Cases

  • Consolidated Research: Combine analyst consensus, company fundamentals, historical prices, and macroeconomic data.
  • Automated Data Collection: Utilize tools to gather and analyze data from IBES, company financials, historical equity prices, and macroeconomic indicators.
  • Use Case: Analyze a stock by generating a snapshot that includes consensus estimates, financial ratios, price performance, and macroeconomic context.

Quick Start

Run the equity-research skill to generate a research snapshot for the stock 'AAPL'.

Frequently Asked Questions about equity-research

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

FAQPage Schema
How do I automate equity research data collection from multiple financial sources?▼

Automating equity research data collection involves synthesizing IBES consensus estimates, company fundamentals, historical prices, and macroeconomic data into a single research snapshot. This Skill consolidates those sources automatically to generate comprehensive stock analysis.

What's the best way to combine IBES consensus estimates with company fundamentals for stock analysis?▼

Combining IBES consensus estimates with company fundamentals is done by aggregating analyst forecasts and financial ratios into a consolidated research snapshot. This allows you to build a complete investment case with both market expectations and underlying business performance.

Can I generate a stock research snapshot that includes macroeconomic context and historical equity prices?▼

Generating a stock research snapshot with macroeconomic context and historical equity prices is supported by default. The Skill integrates macroeconomic indicators alongside historical pricing summaries to provide a full analytical view for your investment research.

How do I start building an investment case using automated financial data synthesis?▼

Building an investment case using automated financial data synthesis starts by running the Skill for a specific stock ticker, such as 'AAPL'. It then automatically gathers consensus estimates, financial ratios, and price performance to output a ready-to-use research snapshot.

Does this equity research Skill require access to historical equity pricing summaries and macroeconomic data?▼

Access to historical equity pricing summaries and macroeconomic data is required, as these are core dependencies for the analysis. The Skill relies on these data feeds to populate price performance metrics and broader economic context within the research snapshot.

What financial data sources are supported for generating comprehensive stock analysis?▼

Supported financial data sources for comprehensive stock analysis include IBES consensus, company financials, historical equity pricing summaries, and macroeconomic indicators. These dependencies are consolidated to provide a multi-dimensional view of the target stock.

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