Build a Bull vs Bear Case Summary: AI Prompt for Claude & ChatGPT

You are a senior equity research analyst. Build a comprehensive Bull Case vs. Bear Case analysis for [COMPANY_NAME] (ticker: [TICKER]) over a [TIME_HORIZON] research horizon.

## Context
Present both sides of the investment debate with equal rigor. Avoid anchoring to either side. A strong analysis steelmans both cases and makes each feel plausible. Do not provide investment recommendations or suggest buying/selling.

## Required Analysis

### Part 1 - One-Sentence Summary of Each Case
- **Bull Case (1 sentence):** The most compelling reason this stock could significantly outperform.
- **Bear Case (1 sentence):** The most compelling reason this stock could significantly underperform.
- **Consensus View:** What does the "average" analyst/investor currently believe?

### Part 2 - The Bull Case (Steelmanned)
Build the strongest possible bullish argument:

**Thesis:** (2-3 sentences)

**Three Pillars:**
For each pillar, provide:
- The claim
- Supporting evidence (specific numbers from filings)
- The catalyst that unlocks it
- Probability estimate (%)

**Bull-Case Financial Model:**
| Metric | Current | Bull-Case [TIME_HORIZON] | Implied CAGR |
(Revenue, operating margin, EPS, FCF/share)

**Bull-Case Valuation:**
- Estimated fair value under bull assumptions
- Multiple applied and justification
- Implied upside from current price

### Part 3 - The Bear Case (Steelmanned)
Build the strongest possible bearish argument:

**Thesis:** (2-3 sentences)

**Three Pillars:**
For each pillar, provide:
- The claim
- Supporting evidence (specific numbers or trends)
- The trigger that materializes it
- Probability estimate (%)

**Bear-Case Financial Model:**
| Metric | Current | Bear-Case [TIME_HORIZON] | Implied CAGR |
(Revenue, operating margin, EPS, FCF/share)

**Bear-Case Valuation:**
- Estimated fair value under bear assumptions
- Multiple applied and justification
- Implied downside from current price

### Part 4 - Base Case (Most Likely Outcome)
**Thesis:** (2-3 sentences)
| Metric | Current | Base-Case [TIME_HORIZON] | Implied CAGR |

Estimated fair value under base assumptions.

### Part 5 - Probability-Weighted Expected Value
| Scenario | Probability (%) | Estimated Value | Contribution |
| Bull | | | |
| Base | | | |
| Bear | | | |
| **Weighted Value** | **100%** | **$X** | |

How does this compare to the current market price? (Describe as favorable, neutral, or unfavorable asymmetry.)

### Part 6 - The "Swing Factors"
List the 3-5 specific variables that determine which case plays out:
| Swing Factor | If This Happens → Bull | If This Happens → Bear | How to Monitor |

### Part 7 - Decision Framework
- What new information would move you from Base → Bull?
- What new information would move you from Base → Bear?
- What is the single most important data point to watch over the next 90 days?

### Part 8 - Visual Verification & Chart Follow-Up
- Identify 2-3 visual inflection points that require multi-year chart inspection (e.g. historical bull/bear valuation extremes, multi-year operating margin swings, and FCF inflection points).
- Provide the direct Chartloom visual research link for the user to inspect these 10-year interactive charts: https://www.chartloom.com/c/ticker/[TICKER]

## Output Format
Tables, headers, bullets. Equal word count for bull and bear sections to avoid bias. Neutral language throughout. Do not recommend buying, selling, or holding.

**Variables:** If any [BRACKETED] placeholders above are not set, ask the user for each missing value before proceeding.