The QScore is a quantitative score from 1 to 100 for any US-listed stock. It combines five factor categories — value, growth, momentum, profitability, and risk — into a single composite, plus a directional signal (Buy Long-Term, Buy Short-Term, Hold, Short) and a confidence rating that reflects how complete the underlying data is.
You can enter any ticker on QScoring.com and get the full breakdown in seconds. Free, no account required.
Where the model comes from
The five factors aren't novel. They map directly to decades of peer-reviewed academic research:
- Value — Graham & Dodd's Security Analysis (1934), formalized as HML in Fama-French (1993)
- Growth — earnings and revenue growth as documented across decades of fundamentals research
- Momentum — Jegadeesh and Titman (1993), folded into Carhart (1997) as WML
- Profitability — RMW in Fama-French five-factor (2015)
- Risk — CAPM (Sharpe 1964) and the low-volatility anomaly (Frazzini-Pedersen 2014)
What QScoring adds is a clean implementation: every metric is z-scored against the stock's sector, mapped to a 0–100 score, weighted into a composite, and turned into a signal — all with the math published in full on the methodology page. No proprietary alpha, no unexplained adjustments, no “trust us.”
What the QScore isn't
The score is a structured second opinion, not a strategy. It doesn't know about your tax situation, your portfolio correlation, your risk profile, or your time horizon beyond the long/short distinction the model bakes in. The same score is shown to everyone.
It's also not yet backtested in the formal sense. The validation pledge commits to publishing information-coefficient values, quintile-spread Sharpe ratios, and rolling-window IC analysis before subscription billing turns on. Until then, the live performance pagetracks every QScore we compute as it's produced — locked into public source control on the day, no look-ahead bias possible by construction.
What you can do with it today
A few common workflows:
- Single-ticker analysis. Type AAPL, NVDA, or any US ticker. You get composite, signal, confidence, factor breakdown, and AI commentary.
- Side-by-side comparisons. /compare has curated head-to-head pages like NVDA vs AMD and AAPL vs MSFT, plus the URL pattern works for any pair.
- Signal-driven discovery. /scores groups stocks by category — Buy Short-Term, High-Momentum, High-Growth Low-Value, and more.
- Watchlists.On any ticker page, click Watch and we'll email you when the signal flips. No daily noise, only genuine changes.
How it stays honest
Three structural commitments keep the product from drifting into "trust us" territory:
- The full methodology — every metric, every weight, every signal threshold — is published. Anyone with a weekend and an FMP API key can replicate the math.
- Daily score snapshots are committed to public source control. The performance page shows the running counter of locked-in observations.
- We won't turn on subscription billing until the validation section contains real Sharpe and IC numbers. Until then, the entire product is free.
If you're new to factor investing, the five-factor walkthrough is the right next read. Otherwise, type a ticker and have a look.