GPUS vs WBUY: Correlation
Hyperscale Data, Inc. (GPUS) and WEBUY GLOBAL LTD. - Class A (WBUY) show a moderate relationship: their 3-year correlation of weekly returns is 0.58.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GPUS and WBUY?
Across a 3-year window, the weekly returns of GPUS and WBUY correlate at 0.58, moderate. The link has loosened recently: the 1-year correlation (0.13) runs below the 3-year figure (0.58). Stretching to 5 years gives n/a, with an annualized covariance of 38264.9 %².
WBUY is one of the assets that tracks GPUS most closely: it ranks #2 out of the 10 assets we track against GPUS. Their recent paths diverged sharply: over the last 12 months GPUS outperformed by 34.1 percentage points (-38.5% for GPUS against -72.6% for WBUY). One caveat on sizing: GPUS is 1.7 times as volatile as the other leg, so an equal-dollar split is far from equal-risk.
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.
GPUS vs WBUY: side by side
| GPUS (Hyperscale Data, Inc.) | WBUY (WEBUY GLOBAL LTD. - Class A) | |
|---|---|---|
| 1-year return | -38.5% | -72.6% |
| 5-year return | -100.0% | n/a |
| Volatility (ann.) | 335.7% | 193.8% |
| Beta vs S&P 500 | 0.78 | 1.81 |
| Max drawdown (3Y) | -100.0% | -99.9% |
| Market cap | $0.1B | – |
| P/E (trailing) | 0.0 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | GPUS | WBUY |
|---|---|---|
| 2022 | -89.9% | – |
| 2023 | -99.6% | – |
| 2024 | -93.7% | -66.1% |
| 2025 | -96.3% | -93.7% |
| 2026 | +84.5% | -33.2% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GPUS and WBUY good diversifiers for each other?
Only partially. A correlation of 0.58 means GPUS and WBUY share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
FAQ
What is the correlation between GPUS and WBUY?
As of 2026-08-27, the correlation of weekly returns between GPUS and WBUY is 0.58 over 3 years, 0.13 over 1 year and n/a over 5 years.
Is WBUY a good diversifier for GPUS?
Only partially. A correlation of 0.58 means GPUS and WBUY share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
What does a correlation of 0.58 mean?
On the −1 to +1 scale, 0.58 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/gpus-vs-wbuy.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/gpus-vs-wbuy/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: GPUS correlations · WBUY correlations