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GOOGL vs ROM
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 GOOGL is a StrongBuy and ROM is a StrongBuy.
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).
GOOGL’s FA Score shows that 3 FA rating(s) are green while.
- GOOGL’s FA Score: 3 green, 2 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.
GOOGL’s TA Score shows that 3 TA indicator(s) are bullish.
- GOOGL’s TA Score: 3 bullish, 5 bearish.
Price Growth
GOOGL (@Internet Software/Services) experienced а +7.14% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Internet Software/Services industry was +3.02%. For the same industry, the average monthly price growth was +5.69%, and the average quarterly price growth was +15.50%.
Reported Earning Dates
GOOGL is expected to report earnings on Jul 29, 2025.
Industries' Descriptions
@Internet Software/Services (+3.02% weekly)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.
GOOGL | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 21 Undervalued | |
PROFIT vs RISK RATING 1..100 | 25 | |
SMR RATING 1..100 | 28 | |
PRICE GROWTH RATING 1..100 | 52 | |
P/E GROWTH RATING 1..100 | 85 | |
SEASONALITY SCORE 1..100 | 50 |
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.
| GOOGL | ROM | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 45% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 64% | 4 days ago 87% |
| Momentum ODDS (%) | 4 days ago 72% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 51% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 68% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 67% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 65% | 5 days ago 90% |
| Declines ODDS (%) | 8 days ago 55% | 11 days ago 85% |
| BollingerBands ODDS (%) | 4 days ago 54% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 64% | 4 days ago 90% |
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GOOGL and
Correlation & Price change
A.I.dvisor indicates that over the last year, GOOGL has been closely correlated with GOOG. These tickers have moved in lockstep 100% of the time. This A.I.-generated data suggests there is a high statistical probability that if GOOGL jumps, then GOOG could also see price increases.
| Ticker / NAME | Correlation To GOOGL | 1D Price Change % | ||
|---|---|---|---|---|
| GOOGL | 100% | +2.88% | ||
| GOOG - GOOGL | 100% Closely correlated | +2.20% | ||
| SNAP - GOOGL | 50% Loosely correlated | +7.13% | ||
| DASH - GOOGL | 49% Loosely correlated | +1.12% | ||
| CARG - GOOGL | 44% Loosely correlated | +1.43% | ||
| OPRA - GOOGL | 43% Loosely correlated | -1.07% | ||
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