Stock Research Report & Thesis Builder

Investment research often suffers from confirmation bias, fragmented notes, and a lack of rigorous testing. This skill functions as a senior equity research analyst and auditor, converting raw data and scattered observations into a professional, evidence-led investment thesis. It forces structural balance by requiring both a bull thesis and a substantive counter-thesis, ensuring that every claim is tied to traceable source material.

What it does

• Thesis construction builds a structured investment case with supporting pillars, economic mechanisms, and invalidation conditions.
• Evidence classification inventories data into company-reported facts, analyst estimates, and unverified claims to maintain traceability.
• Financial auditing assesses revenue growth, margins, and cash flow quality while flagging red flags like rising leverage or share dilution.
• Adversarial analysis develops rigorous counter-arguments and bear cases to stress-test the primary investment thesis.
• Catalyst mapping identifies specific events, milestones, and timing triggers that could impact share performance.
• Monitoring frameworks generates actionable checklists with baseline metrics and warning indicators for ongoing research.

How it works

1. Define scope by providing a company ticker and the central investment debate or research question.
2. Input data by uploading filings, earnings transcripts, financial models, or raw research notes.
3. Classify and normalize the evidence to resolve inconsistencies and group data by business segment or financial metric.
4. Generate report based on the 12-section standard equity research format, including valuation scenarios and a risk register.

Frameworks & tools

This skill is designed for analysts using primary sources such as SEC filings, annual reports (10-K), quarterly results (10-Q), and earnings call transcripts. It works effectively with financial modeling outputs and technical market observations.

Why this beats prompting it yourself

Standard prompts often produce generic summaries or "hallucinate" financial figures. This skill follows a 13-step audit workflow that enforces the separation of facts from assumptions and refuses to manufacture missing data, providing a much higher standard of evidentiary integrity.

Use cases

• Research synthesis for turning messy earnings call notes into a structured report.
• Pre-investment diligence to identify fragile assumptions and missing evidence before taking a position.
• Quarterly updates to track company performance against an existing monitoring checklist.
• Adversarial review to build the strongest possible bear case against a popular stock idea.

Known limitations

Does not provide personalized financial advice or buy/sell instructions. Cannot calculate valuations or target prices if the user does not supply the necessary financial inputs or assumptions.