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CTEV vs UBER
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is CTEV is a Hold and UBER is a Buy.
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
CTEV’s FA Score shows that 0 FA rating(s) are green whileUBER’s FA Score has 2 green FA rating(s).
- CTEV’s FA Score: 0 green, 5 red.
- UBER’s FA Score: 2 green, 3 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
CTEV’s TA Score shows that 6 TA indicator(s) are bullish while UBER’s TA Score has 4 bullish TA indicator(s).
- CTEV’s TA Score: 6 bullish, 4 bearish.
- UBER’s TA Score: 4 bullish, 6 bearish.
Price Growth
CTEV (@Services to the Health Industry) experienced а +47.64% price change this week, while UBER (@Packaged Software) price change was +3.03% for the same time period.
The average weekly price growth across all stocks in the @Services to the Health Industry industry was +1.49%. For the same industry, the average monthly price growth was -1.17%, and the average quarterly price growth was -0.83%.
The average weekly price growth across all stocks in the @Packaged Software industry was -1.63%. For the same industry, the average monthly price growth was -0.71%, and the average quarterly price growth was +17.79%.
Reported Earning Dates
UBER is expected to report earnings on Oct 30, 2025.
Industries' Descriptions
@Services to the Health Industry (+1.49% weekly)This industry comprises companies that provide services, such as equipment sterilization, research, physician management systems and consulting, that support the healthcare/medical industry. Examples of such companies include Laboratory Corporation of America Holdings, which operates one of the largest clinical laboratory networks in the world; Quest Diagnostics Inc., which is a clinical laboratory; and Syneos Health, which is a major clinical research organization.
@Packaged Software (-1.63% weekly)Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
| CTEV | UBER | CTEV / UBER | |
| Capitalization | 936M | 187B | 1% |
| EBITDA | N/A | 7.37B | - |
| Gain YTD | 284.371 | 48.475 | 587% |
| P/E Ratio | N/A | 15.26 | - |
| Revenue | N/A | 45.4B | - |
| Total Cash | 3.19M | 6.03B | 0% |
| Total Debt | 4.63B | 11.1B | 42% |
UBER | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 86 Overvalued | |
PROFIT vs RISK RATING 1..100 | 33 | |
SMR RATING 1..100 | 15 | |
PRICE GROWTH RATING 1..100 | 49 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
| CTEV | UBER | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 89% | 4 days ago 67% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 71% |
| Momentum ODDS (%) | 4 days ago 79% | 4 days ago 76% |
| MACD ODDS (%) | 4 days ago 89% | 4 days ago 65% |
| TrendWeek ODDS (%) | 4 days ago 76% | 4 days ago 74% |
| TrendMonth ODDS (%) | 4 days ago 73% | 4 days ago 73% |
| Advances ODDS (%) | 4 days ago 76% | 18 days ago 79% |
| Declines ODDS (%) | 18 days ago 90% | 14 days ago 75% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 76% |
| Aroon ODDS (%) | 4 days ago 86% | 4 days ago 73% |
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| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| GGEYX | 29.39 | 0.23 | +0.79% |
| GuideStone Funds Growth Equity Instl | |||
| AIGGX | 16.83 | 0.13 | +0.78% |
| Aristotle Growth Equity I-2 | |||
| WLGAX | 38.80 | 0.25 | +0.65% |
| Macquarie Large Cap Growth Fund A | |||
| AMTAX | 9.92 | 0.03 | +0.30% |
| AB All Market Real Return A | |||
| WFICX | 14.86 | 0.04 | +0.27% |
| North Star Small Cap Value Institutional | |||
CTEV and
Correlation & Price change
A.I.dvisor indicates that over the last year, CTEV has been loosely correlated with UBER. These tickers have moved in lockstep 33% of the time. This A.I.-generated data suggests there is some statistical probability that if CTEV jumps, then UBER could also see price increases.
| Ticker / NAME | Correlation To CTEV | 1D Price Change % | ||
|---|---|---|---|---|
| CTEV | 100% | +3.44% | ||
| UBER - CTEV | 33% Loosely correlated | -3.36% | ||
| QLYS - CTEV | 32% Poorly correlated | -0.13% | ||
| BRZE - CTEV | 31% Poorly correlated | -3.36% | ||
| TXG - CTEV | 31% Poorly correlated | -3.98% | ||
| DJCO - CTEV | 30% Poorly correlated | -1.01% | ||
More | ||||
UBER and
Correlation & Price change
A.I.dvisor indicates that over the last year, UBER has been loosely correlated with LYFT. These tickers have moved in lockstep 52% of the time. This A.I.-generated data suggests there is some statistical probability that if UBER jumps, then LYFT could also see price increases.
| Ticker / NAME | Correlation To UBER | 1D Price Change % | ||
|---|---|---|---|---|
| UBER | 100% | -3.36% | ||
| LYFT - UBER | 52% Loosely correlated | -5.63% | ||
| SNPS - UBER | 47% Loosely correlated | -0.15% | ||
| S - UBER | 46% Loosely correlated | N/A | ||
| SSNC - UBER | 45% Loosely correlated | +0.50% | ||
| PLTR - UBER | 44% Loosely correlated | +2.61% | ||
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