Most investment research processes fail because they are improvisational. You download two annual reports, skim a chart, ask a chatbot for a “bull case,” and call it diligence.
Long-term investing requires the exact opposite: a repeatable checklist that produces comparable notebooks, standardized data tables, and a concise one-page memo you can revisit a year later without having to reconstruct your thinking from scratch.
Copy and paste this checklist into your notes app, Notion, or directly into a new Gemini Notebook, and use it every time you start a new thematic analysis.
Phase 1: Scope, Thesis, and Data Gathering
Gemini is excellent at extraction, but it will confidently generate outputs based on incomplete inputs. The first phase protects your analysis by ensuring the AI has a pristine, comparable dataset.
- 1. Choose your long-term theme and candidate stocks
- Define the theme in a single sentence (e.g., “EU regulated infrastructure with inflation-linked cash flows”).
- Select 3–5 candidates you could realistically hold for 5–10 years.
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Exclude names that do not share enough underlying economics to allow for an apples-to-apples comparison.
- 2. Write a short initial thesis for each stock
- Before asking Gemini anything, draft a short thesis note for each candidate.
- Define the suspected moat, the structural tailwinds, your intended portfolio role, and strict falsifiers (what would make you sell).
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Resource: Borrow structural concepts from Investimate’s complete stock analysis framework to standardize your thesis notes.
- 3. Upload 10 years of core filings
- Create one Gemini Notebook named for the overarching theme.
- Upload your thesis notes.
- Upload ~10 years of annual reports (10-Ks).
- Upload investor day decks and earnings transcripts only for key inflection points (M&A, strategy shifts).
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Resource: Review BUX’s fundamental analysis guide for a refresher on which filings matter most for long-term horizons.
- 4. Attach external market data summaries
- Do not upload raw CSVs. Create a structured Markdown document (tables + bullets) for each ticker containing: 10-year price, EPS, dividends, revenue, ROE, debt-to-equity, and FCF per share.
- Add 2–3 short sector notes detailing structural risks and macro trends.
🛑 CHECKPOINT 1: The Inventory Audit Run this prompt in Gemini before proceeding: “List all uploaded documents by ticker and year. Flag gaps in the 10-year annual coverage and note missing investor-day materials. Do not analyze the businesses yet.” Do not move forward until gaps are filled.
Phase 2: AI Extraction and Comparative Analysis
Now that the data is loaded, use Gemini to do the heavy lifting: extracting tables, comparing moats, and tracking capital allocation.
- 5. Tabulate 10-year financials and key ratios
- Prompt Gemini to build comparable year-by-year tables for ROE, margins, leverage, and FCF per share across all companies.
- Ask the AI to assign a “durability label” to each (e.g., consistent, cyclical, volatile, deteriorating).
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Resource: Translate the metrics from the Long-Term Stock Checklist directly into your prompt requirements.
- 6. Summarize moats and capital allocation
- Prompt Gemini to extract moat-related claims (network effects, switching costs) and demand strict citations from the filings.
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Ask Gemini to map how cash was used over the decade (organic reinvestment vs. M&A vs. buybacks vs. dividends).
- 7. Run valuation sanity checks
- Prompt Gemini to compute P/E, PEG, and Price-to-Book.
- Compare current multiples to each company’s own 10-year history and to the peers in the notebook.
- Provide your own growth assumptions to the AI; do not let it hallucinate consensus estimates.
- Resource: Watch this breakdown on Moat, Numbers, and Valuation Frameworks to help structure your valuation prompts.
🛑 CHECKPOINT 2: The Coherence Audit Verify Gemini’s math. Spot-check the AI-generated tables against the raw 10-K filings. If the model smoothed over a bad year or hallucinated a metric, correct it in the chat before asking it to generate presentations.
Phase 3: Synthesis and The Investment Memo
Convert the raw analysis into structured artifacts that force you to name trade-offs and define your conviction.
- 8. Generate mind maps and scenario slides
- Prompt Gemini for a mind-map outline covering: Business Model, Moat, Track Record, Capital Allocation, Valuation, and Risks.
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Ask Gemini to draft slide outlines for Base, Bull, and Bear scenarios (5–10 year views) complete with specific annual signposts to monitor.
- 9. Write and store the final One-Page Memo
- Have Gemini draft a one-page memo summarizing the entire analysis.
- You must edit this manually. Ensure it contains:
- Business summary.
- Moat evidence & durability.
- Track record (5-8 lines summarizing the 10-year tables).
- Valuation & explicit assumptions.
- Structural risks.
- Your Decision: Hold, Watch, or Pass (and exactly why).
- Save this final memo inside the Gemini Notebook.
🛑 CHECKPOINT 3: The Conviction Check Read the final memo. If it reads like generic sell-side marketing fluff, delete the adjectives and replace them with the hard numbers you extracted in Phase 2. The memo must reflect your conviction, not the AI’s tone.
Phase 4: Maintenance
Long-term investing does not mean static investing. The notebook is a living asset.
- 10. The Annual Revisit
- Once a year, upload the new 10-K and updated external data metrics.
- Re-run the durability, capital allocation, and valuation prompts.
- Update your Base/Bull/Bear scenarios and check them against what actually happened.
- Log any changes to your falsifiers/exit triggers.
Suggested Cadence for Busy Analysts
To keep this process sustainable, adopt this operating rhythm:
| Event | Required Action |
|---|---|
| New Idea Generation | Run the full checklist (Steps 1–9). |
| Quarterly Earnings | Skim earnings transcripts only for thesis-breaking events. Do not run AI updates. |
| Annual Filing (10-K) | Run Step 10 (Full refresh of tables, moats, and valuation). |
| Major Shock (M&A, CEO change, regulatory shift) | Partial re-run of Steps 3–9 to update scenarios and risks. |
Closing
A Gemini-assisted investment workflow is only as powerful as its repeatability. If you follow this checklist, every new stock analysis starts from the exact same standard of evidence. That baseline standard—not any single “magic prompt”—is what separates a durable, institutional-grade investing process from enthusiastic retail improvisation.