CANG vs OSS: Correlation
Cango Inc. Class A (CANG) and One Stop Systems, Inc. (OSS) show a moderate relationship: their 3-year correlation of weekly returns is 0.33.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CANG and OSS?
Over the past 3 years, CANG and OSS moved with a correlation of 0.33, which is moderate. Little has changed lately, as the 1-year reading of 0.35 lands near the 3-year figure. Over 5 years the correlation is 0.28, and the annualized covariance of weekly returns is 2293.4 %².
Among the 11 assets we track against CANG, OSS ranks #5 by 3-year correlation. Their recent paths diverged sharply: over the last 12 months OSS outperformed by 169.9 percentage points (-89.4% for CANG against +80.5% for OSS).
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.
CANG vs OSS: side by side
| CANG (Cango Inc. Class A) | OSS (One Stop Systems, Inc.) | |
|---|---|---|
| 1-year return | -89.4% | +80.5% |
| 5-year return | -60.9% | +103.2% |
| Volatility (ann.) | 84.7% | 82.4% |
| Beta vs S&P 500 | 1.14 | 1.82 |
| Max drawdown (3Y) | -96.5% | -56.0% |
| Market cap | $0.1B | $0.3B |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | CANG | OSS |
|---|---|---|
| 2022 | +36.2% | -39.2% |
| 2023 | -22.1% | -30.2% |
| 2024 | +331.4% | +59.5% |
| 2025 | -31.8% | +114.3% |
| 2026 | -82.7% | +57.7% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CANG and OSS good diversifiers for each other?
Reasonably. At 0.33, CANG and OSS keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between CANG and OSS?
As of 2026-08-27, the correlation of weekly returns between CANG and OSS is 0.33 over 3 years, 0.35 over 1 year and 0.28 over 5 years.
Is OSS a good diversifier for CANG?
Reasonably. At 0.33, CANG and OSS keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
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/cang-vs-oss.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/cang-vs-oss/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: CANG correlations · OSS correlations
