GMM vs MF: Correlation
Global Mofy AI Limited - Class A (GMM) and MindForge Inc. - Class A (MF) show a very strong relationship: their 3-year correlation of weekly returns is 0.97.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GMM and MF?
Over the past 3 years, GMM and MF moved with a correlation of 0.97, which is very strong, meaning they move nearly in lockstep. The link has loosened recently: the 1-year correlation (-0.04) runs below the 3-year figure (0.97). Over 5 years the correlation is n/a, and the annualized covariance of weekly returns is 960699.7 %².
In GMM's tracked universe of 21 assets, MF sits right near the top at #1. Their recent paths diverged sharply: over the last 12 months MF outperformed by 25.9 percentage points (-97.5% for GMM against -71.6% for MF).
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.
GMM vs MF: side by side
| GMM (Global Mofy AI Limited - Class A) | MF (MindForge Inc. - Class A) | |
|---|---|---|
| 1-year return | -97.5% | -71.6% |
| 5-year return | n/a | n/a |
| Volatility (ann.) | 1098.3% | 830.3% |
| Beta vs S&P 500 | 2.95 | 3.38 |
| Max drawdown (3Y) | -99.7% | -99.7% |
| Market cap | – | – |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | GMM | MF |
|---|---|---|
| 2024 | -30.5% | – |
| 2025 | -69.6% | -40.7% |
| 2026 | -95.4% | -62.4% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GMM and MF good diversifiers for each other?
No: a correlation of 0.97 means GMM and MF tend to fall together, which is precisely when diversification is supposed to help.
FAQ
What is the correlation between GMM and MF?
Using weekly returns as of 2026-08-27: 0.97 over 3 years, with -0.04 over the last year and n/a over 5 years.
Is MF a good diversifier for GMM?
No: a correlation of 0.97 means GMM and MF tend to fall together, which is precisely when diversification is supposed to help.
What does a correlation of 0.97 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/gmm-vs-mf.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/gmm-vs-mf/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: GMM correlations · MF correlations
