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).
META’s FA Score shows that 2 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.
META’s TA Score shows that 2 TA indicator(s) are bullish.
META (@Internet Software/Services) experienced а -2.46% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Internet Software/Services industry was -0.90%. For the same industry, the average monthly price growth was -0.15%, and the average quarterly price growth was +3.27%.
META is expected to report earnings on Jan 29, 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.
META | ||
---|---|---|
OUTLOOK RATING 1..100 | 61 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 61 Fair valued | |
PROFIT vs RISK RATING 1..100 | 24 | |
SMR RATING 1..100 | 27 | |
PRICE GROWTH RATING 1..100 | 43 | |
P/E GROWTH RATING 1..100 | 74 | |
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.
META | SCHB | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago71% |
Stochastic ODDS (%) | 2 days ago52% | 2 days ago67% |
Momentum ODDS (%) | 2 days ago81% | 2 days ago90% |
MACD ODDS (%) | 2 days ago59% | 2 days ago84% |
TrendWeek ODDS (%) | 2 days ago60% | 2 days ago76% |
TrendMonth ODDS (%) | 2 days ago67% | 2 days ago87% |
Advances ODDS (%) | N/A | 5 days ago87% |
Declines ODDS (%) | 2 days ago54% | 2 days ago76% |
BollingerBands ODDS (%) | 2 days ago84% | 2 days ago70% |
Aroon ODDS (%) | 2 days ago72% | 2 days ago84% |
A.I.dvisor indicates that over the last year, META has been loosely correlated with GOOGL. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if META jumps, then GOOGL could also see price increases.
Ticker / NAME | Correlation To META | 1D Price Change % | ||
---|---|---|---|---|
META | 100% | -0.49% | ||
GOOGL - META | 41% Loosely correlated | -1.84% | ||
GOOG - META | 40% Loosely correlated | -1.74% | ||
OPRA - META | 31% Poorly correlated | +2.18% | ||
DASH - META | 30% Poorly correlated | -1.12% | ||
PINS - META | 29% Poorly correlated | -2.03% | ||
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A.I.dvisor indicates that over the last year, SCHB has been loosely correlated with AVGO. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if SCHB jumps, then AVGO could also see price increases.
Ticker / NAME | Correlation To SCHB | 1D Price Change % | ||
---|---|---|---|---|
SCHB | 100% | -0.69% | ||
AVGO - SCHB | 60% Loosely correlated | -1.84% | ||
AAPL - SCHB | 60% Loosely correlated | +1.38% | ||
MSFT - SCHB | 59% Loosely correlated | +0.40% | ||
AMZN - SCHB | 58% Loosely correlated | -1.22% | ||
META - SCHB | 56% Loosely correlated | -0.49% | ||
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