bull-bear

Generate bull, base, and bear equity scenarios from eight quarters of financial data.

482|113|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/daloopa/investing --skill bull-bear
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bull-bear
Source: https://github.com/daloopa/investing/tree/main/.claude/skills/bull-bear
Command: npx skills add https://github.com/daloopa/investing --skill bull-bear

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide a robust framework to build bull/bear/base case scenarios for equity analysis, anchoring investment decisions with structured data.

Core Features & Use Cases

  • Historical data synthesis: collect and organize 8 quarters of financials, KPIs, and cash flows to anchor scenarios.
  • Qualitative research guidance: extract risk factors, growth drivers, and capital allocation signals from filings.
  • Three-scenario framework: generate bull, base, and bear case narratives with bottoms-up revenue models and KPI trajectories.

Quick Start

Provide a ticker and the latest eight quarters of data to generate three scenarios.

Frequently Asked Questions about bull-bear

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

FAQPage Schema
How do I build bull, base, and bear case scenarios for equity valuation?

Bull/bear scenario analysis requires anchoring projections with structured data. This framework automates collecting eight quarters of historical financials and KPIs, extracts qualitative growth drivers from filings, and generates three distinct scenario narratives for investment research.

What is the best way to automate bottoms-up financial modeling from historical filings?

Automating bottoms-up financial modeling is achieved by assembling historical data, qualitative risk factors, and capital allocation signals. This framework extracts KPI trends from eight quarters of filings to construct revenue models and visualize scenario trajectories end-to-end.

How much historical data do I need for KPI trend visualization and scenario construction?

You need eight quarters of historical financials and KPI data for KPI trend visualization and scenario construction. Providing a ticker and this specific volume of data satisfies the requirements for bottoms-up modeling and generating bull, base, and bear projections.

Can I extract qualitative risk factors and capital allocation signals from filings for scenario analysis?

Yes, you can extract qualitative risk factors and capital allocation signals from filings for scenario analysis. The framework guides qualitative research by pulling growth drivers and risk factors from filings, combining them with historical financials to anchor investment decisions.

Does this scenario analysis framework handle end-to-end equity research report generation?

Yes, this scenario analysis framework handles end-to-end equity research report generation. It completes data collection, KPI extraction, bottoms-up scenario construction, and final report generation within a single automated workflow for investment research tasks.