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).
CMPGY’s FA Score shows that 0 FA rating(s) are green whileKRUS’s FA Score has 1 green FA rating(s).
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.
KRUS’s TA Score shows that 3 TA indicator(s) are bullish.
CMPGY (@Restaurants) experienced а -1.67% price change this week, while KRUS (@Restaurants) price change was -1.74% for the same time period.
The average weekly price growth across all stocks in the @Restaurants industry was +0.06%. For the same industry, the average monthly price growth was +10.30%, and the average quarterly price growth was +33.42%.
CMPGY is expected to report earnings on Nov 26, 2024.
KRUS is expected to report earnings on Jan 02, 2025.
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.
CMPGY | KRUS | CMPGY / KRUS | |
Capitalization | 56.5B | 1.13B | 5,013% |
EBITDA | N/A | N/A | - |
Gain YTD | 22.836 | 21.816 | 105% |
P/E Ratio | 33.92 | 292.35 | 12% |
Revenue | N/A | N/A | - |
Total Cash | 382M | N/A | - |
Total Debt | 5.84B | N/A | - |
CMPGY | ||
---|---|---|
OUTLOOK RATING 1..100 | 69 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 47 Fair valued | |
PROFIT vs RISK RATING 1..100 | 46 | |
SMR RATING 1..100 | 93 | |
PRICE GROWTH RATING 1..100 | 46 | |
P/E GROWTH RATING 1..100 | 51 | |
SEASONALITY SCORE 1..100 | 75 |
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.
KRUS | |
---|---|
RSI ODDS (%) | 3 days ago79% |
Stochastic ODDS (%) | 3 days ago89% |
Momentum ODDS (%) | 3 days ago74% |
MACD ODDS (%) | 3 days ago76% |
TrendWeek ODDS (%) | 3 days ago80% |
TrendMonth ODDS (%) | 3 days ago87% |
Advances ODDS (%) | 10 days ago0% |
Declines ODDS (%) | 8 days ago79% |
BollingerBands ODDS (%) | 3 days ago83% |
Aroon ODDS (%) | 3 days ago87% |
A.I.dvisor tells us that CMPGY and CMPGF have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CMPGY and CMPGF's prices will move in lockstep.
Ticker / NAME | Correlation To CMPGY | 1D Price Change % | ||
---|---|---|---|---|
CMPGY | 100% | -0.36% | ||
CMPGF - CMPGY | 26% Poorly correlated | -3.60% | ||
NATH - CMPGY | 22% Poorly correlated | -4.20% | ||
CNNE - CMPGY | 20% Poorly correlated | -2.82% | ||
BPZZF - CMPGY | 15% Poorly correlated | N/A | ||
KRUS - CMPGY | 13% Poorly correlated | +1.70% | ||
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A.I.dvisor indicates that over the last year, KRUS has been loosely correlated with PTLO. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if KRUS jumps, then PTLO could also see price increases.
Ticker / NAME | Correlation To KRUS | 1D Price Change % | ||
---|---|---|---|---|
KRUS | 100% | +1.70% | ||
PTLO - KRUS | 36% Loosely correlated | -0.41% | ||
CAVA - KRUS | 30% Poorly correlated | +1.57% | ||
CNNE - KRUS | 30% Poorly correlated | -2.82% | ||
BJRI - KRUS | 30% Poorly correlated | +4.05% | ||
RICK - KRUS | 29% Poorly correlated | -1.68% | ||
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