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FFOG vs META
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 FFOG is a Hold and META is a Buy.
META | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 53 Fair valued | |
PROFIT vs RISK RATING 1..100 | 25 | |
SMR RATING 1..100 | 24 | |
PRICE GROWTH RATING 1..100 | 18 | |
P/E GROWTH RATING 1..100 | 62 | |
SEASONALITY SCORE 1..100 | 39 |
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.
| FFOG | META | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 71% | 3 days ago 55% |
| Stochastic ODDS (%) | 3 days ago 75% | 3 days ago 64% |
| Momentum ODDS (%) | N/A | 3 days ago 78% |
| MACD ODDS (%) | 3 days ago 67% | 3 days ago 58% |
| TrendWeek ODDS (%) | 3 days ago 73% | 3 days ago 60% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 78% |
| Advances ODDS (%) | 28 days ago 90% | 19 days ago 77% |
| Declines ODDS (%) | 26 days ago 71% | 3 days ago 54% |
| BollingerBands ODDS (%) | 3 days ago 83% | 3 days ago 51% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 80% |
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FFOG and
Correlation & Price change
A.I.dvisor indicates that over the last year, FFOG has been closely correlated with NVDA. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if FFOG jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To FFOG | 1D Price Change % | ||
|---|---|---|---|---|
| FFOG | 100% | -1.42% | ||
| NVDA - FFOG | 84% Closely correlated | -2.09% | ||
| AMZN - FFOG | 80% Closely correlated | -0.53% | ||
| META - FFOG | 80% Closely correlated | -1.51% | ||
| MSFT - FFOG | 78% Closely correlated | -0.82% | ||
| TSM - FFOG | 77% Closely correlated | -2.01% | ||
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META and
Correlation & Price change
A.I.dvisor indicates that over the last year, META has been loosely correlated with GOOGL. These tickers have moved in lockstep 61% 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% | -1.51% | ||
| GOOGL - META | 61% Loosely correlated | -0.59% | ||
| GOOG - META | 61% Loosely correlated | -0.62% | ||
| PINS - META | 57% Loosely correlated | -0.53% | ||
| DASH - META | 56% Loosely correlated | +1.09% | ||
| SNAP - META | 53% Loosely correlated | -4.34% | ||
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