- Entry
- $252.61
- Now
- $252.00 -0.2%
- Target
- —
- Score
- —
Background: I've spent twenty years doing data ontology work professionally — building the semantic structures that turn raw, ungoverned data into something usable, most recently at SurveyMonkey. On the side I've built a personal screener pulling 16 years of SEC XBRL data across roughly 1,700 tickers, normalizing inconsistent tags so true FCF (operating cash flow minus CapEx minus SBC) is comparable across companies. I'm posting this here specifically because I think the methodology question is more interesting than the stock …
— ORIGINAL POST ·
Applying a data ontology framework to AI moat investing — why FactSet, Veeva, Roper, and SPGI may be mispriced relative to Snowflake/Databricks. Methodology and open question on durability inside.
· r/SecurityAnalysis
· Jun 30, 2026