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CAVA vs GGGSY
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 CAVA is a Hold and GGGSY is a Hold.
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).
CAVA’s FA Score shows that 0 FA rating(s) are green whileGGGSY’s FA Score has 1 green FA rating(s).
- CAVA’s FA Score: 0 green, 5 red.
- GGGSY’s FA Score: 1 green, 4 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.
CAVA’s TA Score shows that 4 TA indicator(s) are bullish while GGGSY’s TA Score has 5 bullish TA indicator(s).
- CAVA’s TA Score: 4 bullish, 5 bearish.
- GGGSY’s TA Score: 5 bullish, 5 bearish.
Price Growth
CAVA (@Restaurants) experienced а +3.46% price change this week, while GGGSY (@Restaurants) price change was +0.91% for the same time period.
The average weekly price growth across all stocks in the @Restaurants industry was -1.16%. For the same industry, the average monthly price growth was -7.64%, and the average quarterly price growth was -14.45%.
Industries' Descriptions
@Restaurants (-1.16% weekly)The industry includes companies that operate full-service restaurants, fast food restaurants, cafeterias and snack bars. McDonald`s Corporation, Starbucks Corporation, YUM! Brands, Inc. and Restaurant Brands International Inc. are some of the largest U.S. restaurant-owning companies in terms of market capitalization. While restaurant spending could be viewed as discretionary for consumers, some companies in the business have been able to weather economic cycles by establishing strong loyalty among customers over the years. Many of them also have a strong global presence as well.
| CAVA | GGGSY | CAVA / GGGSY | |
| Capitalization | 5.59B | 2.09B | 267% |
| EBITDA | 141M | 359M | 39% |
| Gain YTD | -57.270 | -28.674 | 200% |
| P/E Ratio | 41.55 | 11.22 | 370% |
| Revenue | 1.08B | 2.08B | 52% |
| Total Cash | 386M | N/A | - |
| Total Debt | 434M | N/A | - |
| CAVA | GGGSY | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | 2 days ago 69% |
| Stochastic ODDS (%) | 2 days ago 86% | 2 days ago 50% |
| Momentum ODDS (%) | 2 days ago 85% | 2 days ago 53% |
| MACD ODDS (%) | 2 days ago 78% | 2 days ago 50% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 44% |
| TrendMonth ODDS (%) | 2 days ago 83% | 2 days ago 61% |
| Advances ODDS (%) | 5 days ago 84% | about 1 month ago 40% |
| Declines ODDS (%) | 2 days ago 82% | 18 days ago 71% |
| BollingerBands ODDS (%) | 2 days ago 77% | 2 days ago 75% |
| Aroon ODDS (%) | 2 days ago 79% | 2 days ago 29% |
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| ACFLX | 11.30 | -0.06 | -0.53% |
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| BlackRock Global Allocation Inv A | |||
| VEILX | 16.24 | -0.19 | -1.16% |
| VELA International A | |||
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| William Blair Small Cap Value R6 | |||
CAVA and
Correlation & Price change
A.I.dvisor indicates that over the last year, CAVA has been loosely correlated with SG. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if CAVA jumps, then SG could also see price increases.
| Ticker / NAME | Correlation To CAVA | 1D Price Change % | ||
|---|---|---|---|---|
| CAVA | 100% | -1.13% | ||
| SG - CAVA | 55% Loosely correlated | +10.61% | ||
| SHAK - CAVA | 54% Loosely correlated | -3.65% | ||
| KRUS - CAVA | 46% Loosely correlated | +0.11% | ||
| BROS - CAVA | 46% Loosely correlated | -3.90% | ||
| CMG - CAVA | 46% Loosely correlated | +0.19% | ||
More | ||||
GGGSY and
Correlation & Price change
A.I.dvisor tells us that GGGSY and FCUL have been poorly correlated (+2% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GGGSY and FCUL's prices will move in lockstep.
| Ticker / NAME | Correlation To GGGSY | 1D Price Change % | ||
|---|---|---|---|---|
| GGGSY | 100% | N/A | ||
| FCUL - GGGSY | 2% Poorly correlated | +2.08% | ||
| SPHIF - GGGSY | 0% Poorly correlated | N/A | ||
| CHSN - GGGSY | -0% Poorly correlated | -0.88% | ||
| CAVA - GGGSY | -2% Poorly correlated | -1.13% | ||
| THCH - GGGSY | -3% Poorly correlated | -2.57% | ||
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