2021 US Computers
Financial Strength Rankings using Artificial Intelligence
| Top rated | 6 of 26 |
| Best rating | 741 % |
| Worst rating | -407 % |
| New companies | 3 |
| Negative Economic Capital Ratio |
| Rank | Company | Seal | Rating Value | Trend | ||
|---|---|---|---|---|---|---|
 | 1 | Wetouch Technology Inc |  | 740.66% | 0.0 |  |
 | 2 | Interlink Electronics Inc | | 482.03% | 0.0 | |
 | 3 | Arista Networks Inc | | 441.76% | -1.0 |  |
 | 4 | ONE Stop Systems INC | | 363.54% | 3.0 |  |
 | 5 | Immersion Corp | | 346.42% | 12.0 |  |
 | 6 | Digi International INC | | 340.04% | -3.0 | |
 | 7 | Palo Alto Networks Inc | 297.99% | 2.0 | | |
 | 8 | Super Micro Computer Inc | 264.67% | 2.0 | | |
 | 9 | Cisco Systems INC | 237.29% | 0.0 | | |
 | 10 | F5 INC. | 237.25% | -2.0 | | |
 | 11 | Omnicell INC | 230.77% | -6.0 |  | |
 | 12 | Juniper Networks INC | 217.80% | -1.0 | | |
 | 13 | Transact Technologies Inc | 210.78% | -7.0 | | |
 | 14 | A10 Networks Inc | 192.74% | 5.0 | | |
 | 15 | Apple Inc | 182.08% | -2.0 | | |
 | 16 | Xerox Holdings Corp | 171.25% | -4.0 | | |
 | 17 | Lantronix INC | 169.95% | -13.0 | | |
 | 18 | Fortinet Inc | 149.35% | -3.0 | | |
 | 19 | Extreme Networks INC | 140.69% | -5.0 | | |
 | 20 | HP INC | 137.00% | -2.0 | | |
 | 21 | Intrusion INC | 134.40% | -20.0 | | |
 | 22 | Identiv Inc | 122.27% | -6.0 | | |
 | 23 | Mandiant Inc | 81.53% | -2.0 | | |
 | 24 | International Business Machines | 61.87% | -4.0 | | |
 | 25 | BIO KEY International INC | 33.21% | 0.0 |  | |
 | 26 | Dror Ortho Design Inc | -406.96% | -2.0 | | |
| Rank | Company | Seal | Rating Value | Trend |
Feature Distribution Plot
The Feature Distribution shows the main industry variables and the distribution of their impact on financial strength. The more important a variable, the broader the distribution. As the effects are calculated relative to the industry average, half of the companies have a positive effect (green) and half have a negative effect (red).
Regression Plot
The Regression compares the forecasted company valuation with the observed stock market values. A positive correlation suggests that the model effectively explains market prices.
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