DXYZ vs MQ: Correlation
Measured on weekly returns over the past three years, Destiny Tech100 Inc. (DXYZ) and Marqeta, Inc. (MQ) carry a correlation of -0.33, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are DXYZ and MQ?
On 3 years of weekly data the DXYZ/MQ correlation comes out at -0.33, negative, meaning they tend to move in opposite directions. The past 12 months show a tighter link (-0.05) than the 3-year average (-0.33). The 5-year figure is n/a, and annualized covariance runs at -2982.5 %².
Out of 32 assets tracked against DXYZ, MQ lands near the bottom at #32. Their recent paths diverged sharply: over the last 12 months DXYZ outperformed by 60.3 percentage points (+24.9% for DXYZ against -35.4% for MQ). Risk is not evenly split, since DXYZ carries 4.6 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.
DXYZ vs MQ: side by side
| DXYZ (Destiny Tech100 Inc.) | MQ (Marqeta, Inc.) | |
|---|---|---|
| 1-year return | +24.9% | -35.4% |
| 5-year return | n/a | -85.0% |
| Volatility (ann.) | 201.3% | 43.5% |
| Beta vs S&P 500 | 3.94 | 0.49 |
| Max drawdown (3Y) | -90.3% | -53.3% |
| Market cap | $1.1B | $1.7B |
| P/E (trailing) | 9.8 | 180.1 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | DXYZ | MQ |
|---|---|---|
| 2022 | – | -64.4% |
| 2023 | – | +14.2% |
| 2024 | – | -45.7% |
| 2025 | -48.0% | +25.3% |
| 2026 | +15.6% | -14.7% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are DXYZ and MQ good diversifiers for each other?
By historical standards, yes. A correlation of -0.33 means the two rarely move for the same reasons.
FAQ
What is the correlation between DXYZ and MQ?
As of 2026-08-27, the correlation of weekly returns between DXYZ and MQ is -0.33 over 3 years, -0.05 over 1 year and n/a over 5 years.
Is MQ a good diversifier for DXYZ?
By historical standards, yes. A correlation of -0.33 means the two rarely move for the same reasons.
What does a correlation of -0.33 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/dxyz-vs-mq.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/dxyz-vs-mq/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: DXYZ correlations · MQ correlations
