About FairValueLabs
Why Does FairValueLabs Exist?
Wall Street has Bloomberg terminals. Hedge funds have proprietary quant models. Retail investors get... stock tips on social media.
FairValueLabs was built to change that. We take the same public financial data that institutions use — SEC EDGAR filings — and run it through transparent, well-documented risk models. No black boxes. No paywalls. No "trust me, bro" stock picks.
What Do We Actually Do?
For every stock we cover, we produce a complete fundamental checkup:
- Altman Z-Score — bankruptcy probability from balance sheet ratios
- DCF Fair Value — intrinsic value estimate from discounted free cash flows
- Moat Rating — competitive advantage durability from ROIC and margin trends
- Dividend Safety Grade — payout sustainability from cash flow coverage
Every number links back to the SEC filing it came from. Every formula is documented on our Methodology page. If you disagree with our assumptions, you can see exactly where and why.
What We Don't Do
- We never say "buy" or "sell" — we show you the data and let you decide
- We don't do technical analysis, chart patterns, or momentum signals
- We don't run a hedge fund, manage money, or sell courses
- We don't use proprietary data — everything comes from free, public sources
Where Does the Data Come From?
All financial data is sourced from:
- SEC EDGAR — official financial statements (10-K, 10-Q filings)
- Federal Reserve (FRED) — risk-free rates and macroeconomic data
- Yahoo Finance — real-time stock prices and basic market data
Our automated pipeline checks for new filings daily and recalculates all metrics when fresh data is available.
Who Builds FairValueLabs?
FairValueLabs is run by two people, not a content farm: David Chen (former buy-side equity analyst, eight years institutional value investing, CFA charterholder) and Marcus Wei (AI/ML engineer, personal value investor since 2014). Every ticker page is reviewed by a named analyst-of-record before it ships, with a "last reviewed by" line stating who and when.
Our Editorial Standards
- Every ticker page has a named analyst-of-record (David or Marcus); the byline is who reviewed the editorial frame, not who ran the script
- Every metric traces to a specific SEC EDGAR filing — the methodology page documents the formulas line-by-line
- Data refreshes automatically within 24 hours of new SEC filings; pages re-deploy through Cloudflare Pages and ping IndexNow
- We never use the words "buy" or "sell" — we publish the model output and the editorial frame; the investment decision is yours
- When we get a fair-value or moat call meaningfully wrong over a 12-month window, the postmortem goes in the public miss log rather than getting silently edited away
- Affiliate relationships and analyst positions are disclosed on the Disclaimer page and at the top of each ticker page where relevant
Important Disclaimer
This is not financial advice. All data is sourced from SEC EDGAR public filings. Always consult a qualified financial advisor before making investment decisions.
For our complete legal disclaimer, see our Disclaimer page.