Blog

Factor investing and quant scoring, in plain English

Posts are organized into four clusters — pick the topic you're here for, or browse the latest below. Every post is hand-written, evergreen where possible, and cross-linked to the live product (methodology, glossary terms, ticker scores, and head-to-head comparisons).

QScore methodologyHow the QScore is built — the five factors, how they combine, how the signal is derived, and what it means in practice.2 posts Factor investingPlain-English explainers on the academic factor framework that underlies the QScore.0 posts Stock comparisonsEditorial analysis of head-to-head stock matchups using the QScore framework.3 posts Stock metricsDeep-dive explainers on individual financial metrics — what they measure, how they're computed, and where they fail.0 posts Market signalsReading QScore signals in the context of broader market regime and sector rotation.0 posts

QScore methodology

May 8, 2026 · 6 min readHow to read a QScore: the five factors explainedEvery QScore is a weighted average of five factor categories, each scored from 0 to 100 against the ticker's sector. Here's what each one is actually measuring, why it's there, and how to read the breakdown when the composite alone isn't enough.
May 8, 2026 · 5 min readWhat is the QScore? A transparent quant signal for any US stockThe QScore distills decades of factor-investing research into a single number with a clear signal. Here's what it is, how it's built, what it isn't, and the validation pledge that keeps the methodology honest.

Stock comparisons

May 8, 2026 · 7 min readNVDA vs AMD: how the QScore breakdown reveals two different AI betsSame sector, similar narrative, very different factor profiles. Here's what the QScore breakdown reveals about NVDA vs AMD — and why treating them as interchangeable AI plays is the most common mistake.
May 8, 2026 · 7 min readAAPL vs MSFT: which megacap looks better on the quant scorecard?Same size, same index weight, similar composite QScores — and very different bets underneath. Here's how AAPL and MSFT diverge on the factor breakdown, and what the typical pattern means for what you're actually owning.
May 8, 2026 · 7 min readGOOGL vs META: ad duopoly stocks under the QScore lensBoth are ad-revenue platforms. Both ride the same digital-ad tailwind. Their composite QScores can land close — but the factor signatures show very different exposure profiles. Here's how to read the comparison.