FIRY vs MXL: Correlation
Measured on weekly returns over the past three years, Firy Inc. (FIRY) and MaxLinear, Inc (MXL) carry a correlation of 0.60, a strong link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are FIRY and MXL?
On 3 years of weekly data the FIRY/MXL correlation comes out at 0.60, strong. The link has tightened recently: the 1-year correlation (0.74) runs above the 3-year figure (0.60). The 5-year figure is 0.54, and annualized covariance runs at 6031.9 %².
In FIRY's tracked universe of 16 assets, MXL sits right near the top at #1. Correlation aside, the last 12 months split them widely, with MXL ahead by 262.7 points (+16.2% versus +278.9%).
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.
FIRY vs MXL: side by side
| FIRY (Firy Inc.) | MXL (MaxLinear, Inc) | |
|---|---|---|
| 1-year return | +16.2% | +278.9% |
| 5-year return | -95.2% | +19.8% |
| Volatility (ann.) | 95.3% | 105.2% |
| Beta vs S&P 500 | 2.29 | 2.50 |
| Max drawdown (3Y) | -74.9% | -63.9% |
| Market cap | $0.2B | $5.8B |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | FIRY | MXL |
|---|---|---|
| 2022 | -93.2% | -55.0% |
| 2023 | -38.3% | -30.0% |
| 2024 | -19.4% | -16.8% |
| 2025 | -14.3% | -11.9% |
| 2026 | +136.4% | +263.9% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are FIRY and MXL good diversifiers for each other?
To a limited degree. At 0.60 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.
FAQ
What is the correlation between FIRY and MXL?
As of 2026-08-27, the correlation of weekly returns between FIRY and MXL is 0.60 over 3 years, 0.74 over 1 year and 0.54 over 5 years.
Is MXL a good diversifier for FIRY?
To a limited degree. At 0.60 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.
What does a correlation of 0.60 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/firy-vs-mxl.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/firy-vs-mxl/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: FIRY correlations · MXL correlations
