How Simple AI Stock Valuation structures a research report

The methodology is designed to combine structured financial calculations, market data, source-backed context, and AI-assisted narrative analysis while making uncertainty and limitations visible to the reader.

Important distinction: AI helps organize and explain the research, but the sample reports also contain deterministic calculations, source references, validation checks, confidence labels, and disclosures. The report should be read as a research aid—not as an autonomous investment decision.

Report architecture

The sample reports use two reading layers in the same PDF: a five-page Quick Report written in plain language and a Full Detailed Report with the supporting analysis, sources, charts, assumptions, and disclosures.

Detailed-report sections

  1. Executive Summary
  2. Company Overview
  3. Executive Leadership and Board
  4. Newsworthy Events
  5. Political Trades Over Last 30 Days, when available
  6. Insider Trades Over Last 30 Days, when available
  7. Industry Analysis
  8. Financial Analysis
  9. Analyst Expectations
  10. Technical Analysis
  11. Dividend Yield Analysis
  12. Discounted Cash Flow Analysis
  13. Valuation Methodology
  14. Investment Thesis
  15. SWOT Analysis
  16. MOAT Analysis
  17. Conclusions
  18. Call-option screening or illustrative scenarios, depending on the security
  19. Put-option screening or illustrative scenarios, depending on the security
  20. Appendix - Charts & Graphs
  21. Important Disclosures and Limitations

Discounted cash flow framework

In the Microsoft sample report, the DCF section states that arithmetic is calculated in Python rather than by the language model. FCFF is calculated as EBIT × (1 − tax rate) + depreciation & amortization − capital expenditures − change in net working capital. Forecast cash flows are discounted using WACC, then enterprise value is converted to equity value.

Separate valuation methods

The reports can present DCF and earnings/peer-based valuation estimates separately. Where supported methods differ materially in magnitude or direction, the validation language states that the report moderates confidence rather than averaging unlike estimates.

Technical analysis

The sample reports include chart-based and indicator-based technical context. Their chart appendix can include six-month daily trends, a 200-day EMA, deterministic support/resistance and pivot levels, and current trading-day intraday history. Technical analysis is context, not a substitute for fundamental valuation.

Validation and confidence

Each sample report contains a Report Validation section. Validation can pass, pass with review items, or fail. The reports surface material failures and review-level limitations in customer-facing language. Some non-critical claims or supplemental data may be omitted when dates, citations, or source quality cannot be verified.

Data availability

Report sections such as newsworthy events, political trades, insider trading, and other supplemental data can be unavailable or limited depending on public or third-party data quality at the time of retrieval. The reports state that these sections may be omitted or abbreviated rather than filled with unreliable information.

What the methodology cannot guarantee

Every valuation and forecast is sensitive to data quality and assumptions. Market conditions can change rapidly. A report can be internally consistent and still be wrong about the future. Read the source references, dates, confidence, validation status, assumptions, and full disclosures before relying on any conclusion.

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