Educational publication. Not investment advice. Neither John Gillespie nor InsightfulAgents.AI LLC is a registered investment adviser.
As you probably know, if you look at 5 different published stock valuations, you may get 5 different reads. With Occam's Forensic Jury™, we surface the disagreement and the reasons for it so that you can make sure that you agree with the thesis before you invest your hard-earned money.
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5 valuations, 5 reads. Whose story is your story?
Given 5 different stock valuations on the same company, how do you determine which one is correct? Most don't make all of their assumptions clear, so how would an investor know? How would you choose? Each one of the 5 has arrived at one opinion, but is their story your story? How will you decide?
My methodology makes equity research disagreement transparent and preserves it through 4 lenses: the Auditor, the Architect, the Storyteller, and the Sentinel. Each read processes company data from a different angle. When they agree, the verdict consolidates. When they disagree, the disagreement becomes the value compass to help you navigate choppy investment waters. Most equity research averages disagreement away. My methodology preserves it because the disagreement itself is often the point.
5 shapes the disagreement takes
Across cycles, those disagreements have taken five shapes. Each shape tells you something different about what the methodology is doing.
Mode 1 is when the methodology disagrees across runs; we address inputs, not architecture. It is not uncommon for data inputs to require correction.
Mode 2 occurs when one lens escalates to FLAGGED on something that doesn't add up. Something the other lenses smoothed over by averaging. The methodology's FLAGGED-override architecture promotes that dissent to the headline verdict instead of averaging it away. This was demonstrated in our MongoDB video. The Architect flagged a gap between the operational health score and the DCF that management's disclosure language never bridged.
Mode 3 occurs when one of the lenses escalates to FLAGGED. The methodology's job isn't to predict where the price goes. The methodology's job is to surface whether the disclosure supports the price. Discipline to NOT walk back the dissent IS the output. This was demonstrated in our Qualcomm video.
Mode 4 is similar to Mode 2, but the dissenting lens provides a list of things to listen for in subsequent disclosures as described in our NVDA video.
Mode 5 is now in early production, with case studies to follow. Now the methodology can name the kind of disagreement. Is it because market conditions explain the gap? Is it because the lenses picked different assumptions? Or is there no disagreement at all? Three different shapes.
What's the question you actually want answered?
If this was useful, please like and subscribe. What's the question you actually want answered about AI and investment performance? Drop it in the comments. Drop a ticker. The next stock we cover gets named there, not here. The production calendar lives with the audience.
Regardless of which mode fires
Regardless of which mode fires:
- Dissent stays on the public record
- Dossiers are dated
- Audit trail is the product
This is forensic equity research as a methodology-output discipline, not a prediction discipline.
Where this fits
Each mode has a richer walkthrough on the public record:
- Mode 1: 5 Stocks Built to Outlast the AI Frenzy — the cash-flow names through the AI capex cycle, with inputs correction discipline applied.
- Mode 2: MongoDB: The FLAGGED Override Walkthrough — one lens caught what averaging would have smoothed away.
- Mode 3: Qualcomm Looks Cheap. The Methodology Returned FLAGGED. — the methodology held the line while the market moved.
- Mode 4: NVIDIA Forensic Jury Dossier — dissent preserved with the listening list for subsequent disclosures.
- Mode 5: Case study cycles to follow.