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).
GOOG’s FA Score shows that 3 FA rating(s) are green while.
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.
GOOG’s TA Score shows that 4 TA indicator(s) are bullish.
GOOG (@Internet Software/Services) experienced а +1.21% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Internet Software/Services industry was -0.65%. For the same industry, the average monthly price growth was -0.10%, and the average quarterly price growth was +4.12%.
GOOG is expected to report earnings on Feb 04, 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.
GOOG | ||
---|---|---|
OUTLOOK RATING 1..100 | 80 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 60 Fair valued | |
PROFIT vs RISK RATING 1..100 | 17 | |
SMR RATING 1..100 | 31 | |
PRICE GROWTH RATING 1..100 | 24 | |
P/E GROWTH RATING 1..100 | 76 | |
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.
GOOG | VONG | |
---|---|---|
RSI ODDS (%) | 2 days ago44% | 2 days ago75% |
Stochastic ODDS (%) | 2 days ago54% | 2 days ago77% |
Momentum ODDS (%) | 2 days ago70% | 2 days ago88% |
MACD ODDS (%) | 2 days ago65% | 2 days ago86% |
TrendWeek ODDS (%) | 2 days ago69% | 2 days ago90% |
TrendMonth ODDS (%) | 2 days ago67% | 2 days ago88% |
Advances ODDS (%) | 3 days ago66% | 4 days ago90% |
Declines ODDS (%) | N/A | 2 days ago79% |
BollingerBands ODDS (%) | 2 days ago53% | 2 days ago82% |
Aroon ODDS (%) | 2 days ago64% | 2 days ago90% |
A.I.dvisor indicates that over the last year, GOOG has been closely correlated with GOOGL. These tickers have moved in lockstep 100% of the time. This A.I.-generated data suggests there is a high statistical probability that if GOOG jumps, then GOOGL could also see price increases.
Ticker / NAME | Correlation To GOOG | 1D Price Change % | ||
---|---|---|---|---|
GOOG | 100% | -1.54% | ||
GOOGL - GOOG | 100% Closely correlated | -1.51% | ||
META - GOOG | 40% Loosely correlated | -0.82% | ||
YELP - GOOG | 37% Loosely correlated | -3.45% | ||
IAC - GOOG | 34% Loosely correlated | -2.43% | ||
SNAP - GOOG | 33% Poorly correlated | -1.33% | ||
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A.I.dvisor indicates that over the last year, VONG has been closely correlated with MSFT. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if VONG jumps, then MSFT could also see price increases.
Ticker / NAME | Correlation To VONG | 1D Price Change % | ||
---|---|---|---|---|
VONG | 100% | -0.06% | ||
MSFT - VONG | 77% Closely correlated | +0.51% | ||
AMZN - VONG | 73% Closely correlated | +2.48% | ||
AVGO - VONG | 69% Closely correlated | -1.50% | ||
AAPL - VONG | 63% Loosely correlated | +0.40% | ||
GOOG - VONG | 62% Loosely correlated | -1.54% | ||
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