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).
CCG’s FA Score shows that 1 FA rating(s) are green whileSEAT’s FA Score has 1 green FA rating(s).
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.
CCG’s TA Score shows that 5 TA indicator(s) are bullish while SEAT’s TA Score has 5 bullish TA indicator(s).
CCG (@Internet Software/Services) experienced а -10.20% price change this week, while SEAT (@Internet Software/Services) price change was +3.29% for the same time period.
The average weekly price growth across all stocks in the @Internet Software/Services industry was +12.37%. For the same industry, the average monthly price growth was +19.54%, and the average quarterly price growth was +14.64%.
CCG is expected to report earnings on May 12, 2023.
SEAT is expected to report earnings on Mar 11, 2025.
Companies in this industry typically license software on a subscription basis and it is centrally hosted. Such products usually go by the names web-based software, on-demand software and hosted software. Cloud computing has emerged as a major force in this space, making it possible to save files to a remote database (without requiring them to be saved on local storage device); as long as a device has access to the web, it can access the data and the software programs to run it. This has in many cases facilitated cost efficiency, speed and security of data for businesses and consumers. Alphabet Inc., Facebook, Inc. and Yahoo! Inc. are some well-known names in the internet software/services industry.
CCG | SEAT | CCG / SEAT | |
Capitalization | 278M | 802M | 35% |
EBITDA | N/A | 102M | - |
Gain YTD | -87.868 | -35.443 | 248% |
P/E Ratio | N/A | 23.13 | - |
Revenue | N/A | 713M | - |
Total Cash | N/A | 125M | - |
Total Debt | N/A | 285M | - |
CCG | SEAT | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 7 days ago75% |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago90% |
Momentum ODDS (%) | 2 days ago56% | 2 days ago74% |
MACD ODDS (%) | 2 days ago90% | 2 days ago73% |
TrendWeek ODDS (%) | 2 days ago90% | 2 days ago72% |
TrendMonth ODDS (%) | 2 days ago72% | 2 days ago71% |
Advances ODDS (%) | 20 days ago69% | 2 days ago71% |
Declines ODDS (%) | 6 days ago90% | 28 days ago84% |
BollingerBands ODDS (%) | 2 days ago90% | N/A |
Aroon ODDS (%) | 2 days ago90% | 2 days ago90% |
A.I.dvisor tells us that CCG and ADEVF have been poorly correlated (+20% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CCG and ADEVF's prices will move in lockstep.
Ticker / NAME | Correlation To CCG | 1D Price Change % | ||
---|---|---|---|---|
CCG | 100% | -1.45% | ||
ADEVF - CCG | 20% Poorly correlated | N/A | ||
FENG - CCG | 20% Poorly correlated | -0.42% | ||
THRY - CCG | 13% Poorly correlated | +2.23% | ||
SEAT - CCG | 10% Poorly correlated | +3.29% | ||
ASST - CCG | 8% Poorly correlated | +1.09% | ||
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A.I.dvisor indicates that over the last year, SEAT has been loosely correlated with CARG. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if SEAT jumps, then CARG could also see price increases.
Ticker / NAME | Correlation To SEAT | 1D Price Change % | ||
---|---|---|---|---|
SEAT | 100% | +3.29% | ||
CARG - SEAT | 45% Loosely correlated | -0.44% | ||
FVRR - SEAT | 34% Loosely correlated | +1.91% | ||
MTCH - SEAT | 29% Poorly correlated | -0.22% | ||
THRY - SEAT | 27% Poorly correlated | +2.23% | ||
SMWB - SEAT | 27% Poorly correlated | -0.11% | ||
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