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Ranking 19 Mega-Cap Tech Stocks with a Reproducible Momentum + Quality Model (2026-09-11 Data)

How to Rank 19 Mega-Cap Tech Stocks with a 15-Line Momentum + Quality Model (Reproducible, 2026 Data)

Most "stock pickers" on the internet can't reproduce their own picks. So I built a tiny, fully reproducible factor model, ran it on real market data, and published the exact numbers. Here's the whole thing — method, code, and results — so you can run it yourself and disagree with me if you want.

The model in one paragraph

Score each stock on two things:

  • Momentum — equal-weight z-scores of its 1-month, 3-month, 6-month, and 12-month returns.
  • Quality — the lower its 12-month realized volatility and 12-month max drawdown, the higher the score (i.e. a penalty for being wild and for deep drawdowns).

Then combine them: Composite = 0.6 × Momentum + 0.4 × Quality.

That's it. No black box, no "proprietary alpha." Cross-sectional z-scores over a 19-stock universe of large/mega-cap US tech & growth names, 499 trading days of split/dividend-adjusted closes pulled straight from yfinance.

The results (data as of 2026-09-11)

Top 5 by composite:

# Ticker 3m ret 12m ret 12m vol 12m maxDD Composite
1 CRM +48.8% +3.0% 47.2% −43.3% 0.721
2 AMD +5.7% +223.5% 71.7% −27.8% 0.650
3 MSFT +27.2% −0.1% 32.4% −34.5% 0.283
4 AAPL +12.5% +47.1% 25.1% −13.8% 0.246
5 MSTR +9.0% −59.9% 79.7% −77.1% 0.157

Bottom 5:

# Ticker 3m ret 12m ret Composite
15 TSLA −8.5% +5.1% −0.183
16 UBER +3.1% −23.9% −0.218
17 SHOP +16.6% −9.4% −0.294
18 ORCL −18.1% −53.7% −0.396
19 AVGO −6.0% −1.3% −0.496

The interesting part

  • CRM wins because it has a strong 3-month run and acceptable quality — the cleanest composite.
  • AMD is a pure momentum story: +223% over 12 months but 72% volatility and a negative quality score. The model still ranks it #2 because momentum carries 60% of the weight. That's a feature, not a bug — but it's exactly the kind of thing you should understand before you trust any ranking.
  • AAPL is the quality anchor: lowest vol (25%) and shallowest drawdown (−14%) in the whole universe.
  • AVGO / ORCL are the clear laggards: negative 3m and 12m returns with elevated vol.

Why reproducibility matters more than the pick

Anyone can post a table. The point is that this one is reproducible: yfinance download, 252-day windows, cross-sectional z-scores, fixed 0.6/0.4 weighting. If you run it on a different date you get a different ranking — and that's the whole point of a factor model over a "hot tip."

Not investment advice. This is a research artifact built from public data.


Want the full report + the complete 19-row factor table (CSV)? It's published by LaunchTower, an independent market-data desk. Grab the full report and dataset here:

👉 LaunchTower — Momentum + Quality Factor Report (2026-09-11)

LaunchTower — independent market-data desk. Generated from public data; not personalized investment advice.

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