AI vs DTCX: Correlation
How closely do C3.ai, Inc. (AI) and Datacentrex, Inc. (DTCX) trade together? Their weekly returns over three years give a correlation of 0.24, which is weak.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are AI and DTCX?
On 3 years of weekly data the AI/DTCX correlation comes out at 0.24, weak. Little has changed lately, as the 1-year reading of 0.24 lands near the 3-year figure. The 5-year figure is 0.15, and annualized covariance runs at 1659.1 %².
Among the 15 assets we track against AI, DTCX sits near the bottom by co-movement, at rank #12. Twelve-month performance is nearly a tie, at -40.3% for AI and -44.7% for DTCX. Note the risk asymmetry: DTCX runs 1.6 times the annualized volatility of the other leg, so equal-weighting the two is not an equal-risk position.
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.
AI vs DTCX: side by side
| AI (C3.ai, Inc.) | DTCX (Datacentrex, Inc.) | |
|---|---|---|
| 1-year return | -40.3% | -44.7% |
| 5-year return | -79.8% | -72.9% |
| Volatility (ann.) | 65.5% | 103.9% |
| Beta vs S&P 500 | 2.09 | 0.15 |
| Max drawdown (3Y) | -81.9% | -89.5% |
| Market cap | – | $0.1B |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | AI | DTCX |
|---|---|---|
| 2022 | -64.2% | – |
| 2023 | +156.6% | -15.5% |
| 2024 | +19.9% | -42.8% |
| 2025 | -60.8% | -19.8% |
| 2026 | -23.4% | -1.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are AI and DTCX good diversifiers for each other?
Reasonably. At 0.24, AI and DTCX keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between AI and DTCX?
Using weekly returns as of 2026-08-27: 0.24 over 3 years, with 0.24 over the last year and 0.15 over 5 years.
Is DTCX a good diversifier for AI?
Reasonably. At 0.24, AI and DTCX keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.24 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/ai-vs-dtcx.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/ai-vs-dtcx/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: AI correlations · DTCX correlations
