ALMS vs GEV: Correlation
Alumis Inc. (ALMS) and GE Vernova (GEV) show a negative relationship: their 3-year correlation of weekly returns is -0.27.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are ALMS and GEV?
Over the past 3 years, ALMS and GEV moved with a correlation of -0.27, which is negative, meaning they tend to move in opposite directions. The link has tightened recently: the 1-year correlation (-0.13) runs above the 3-year figure (-0.27). Over 5 years the correlation is n/a, and the annualized covariance of weekly returns is -1573.2 %².
Within ALMS's tracked universe of 92 assets, GEV comes in at #74 by 3-year correlation. Their recent paths diverged sharply: over the last 12 months ALMS outperformed by 318.1 percentage points (+371.7% for ALMS against +53.6% for GEV). Risk is not evenly split, since ALMS carries 2.8 times the volatility of the other side.
How is this computed?
Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.
ALMS vs GEV: side by side
| ALMS (Alumis Inc.) | GEV (GE Vernova) | |
|---|---|---|
| 1-year return | +371.7% | +53.6% |
| 5-year return | n/a | n/a |
| Volatility (ann.) | 130.0% | 45.8% |
| Beta vs S&P 500 | -1.50 | 1.42 |
| Max drawdown (3Y) | -78.9% | -38.3% |
| Market cap | $3.0B | $254.0B |
| P/E (trailing) | – | 27.3 |
| Dividend yield | 0.00% | 0.18% |
| Sector / category | US Listed | Industrials |
Are ALMS and GEV good diversifiers for each other?
Yes. With a correlation of -0.27, ALMS and GEV have moved largely independently, which makes them a genuinely diversifying pair by historical standards.
FAQ
What is the correlation between ALMS and GEV?
As of 2026-08-27, the correlation of weekly returns between ALMS and GEV is -0.27 over 3 years, -0.13 over 1 year and n/a over 5 years.
Is GEV a good diversifier for ALMS?
Yes. With a correlation of -0.27, ALMS and GEV have moved largely independently, which makes them a genuinely diversifying pair by historical standards.
What does a correlation of -0.27 mean?
On the −1 to +1 scale, -0.27 describes how much the two returns move together: +1 is lockstep, 0 is independence, negative values mean opposite directions. It says nothing about which performed better.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/alms-vs-gev.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/alms-vs-gev/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: ALMS correlations · GEV correlations