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).
CCEP’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.
CCEP’s TA Score shows that 5 TA indicator(s) are bullish.
CCEP (@Beverages: Non-Alcoholic) experienced а +3.23% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Beverages: Non-Alcoholic industry was -0.16%. For the same industry, the average monthly price growth was +0.15%, and the average quarterly price growth was -2.14%.
CCEP is expected to report earnings on Feb 14, 2025.
Non-alcoholic drinks include traces of alcohol or low alcohol content or without alcohol or alcohol removed. Functional Beverages, Carbonated Soft Drinks (CSDs), Sports Drinks, Fruit Beverages, and Bottled Water are some common types of non-alcoholic beverages. The largest segment in this market is soft drinks (think Pepsi and Coke). Many established companies in this space have also been stepping up production of low to zero-calorie varieties in recent years, to cater to a rising number of health-conscious consumers. Coca-Cola Company, Pepsico Inc, Keurig Dr Pepper Inc. and Monster Beverage Corporation are some major non-alcoholic beverage makers.
CCEP | ||
---|---|---|
OUTLOOK RATING 1..100 | 16 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 33 Fair valued | |
PROFIT vs RISK RATING 1..100 | 37 | |
SMR RATING 1..100 | 92 | |
PRICE GROWTH RATING 1..100 | 50 | |
P/E GROWTH RATING 1..100 | 30 | |
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.
CCEP | PBJ | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 1 day ago66% | 1 day ago79% |
Momentum ODDS (%) | 1 day ago54% | 1 day ago77% |
MACD ODDS (%) | 1 day ago65% | 1 day ago80% |
TrendWeek ODDS (%) | 1 day ago59% | 1 day ago80% |
TrendMonth ODDS (%) | 1 day ago59% | 1 day ago81% |
Advances ODDS (%) | 1 day ago60% | 1 day ago79% |
Declines ODDS (%) | 11 days ago46% | 8 days ago73% |
BollingerBands ODDS (%) | N/A | 1 day ago79% |
Aroon ODDS (%) | 1 day ago62% | 1 day ago68% |
1 Day | |||
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Madison Small Cap R6 |
A.I.dvisor indicates that over the last year, CCEP has been loosely correlated with KO. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if CCEP jumps, then KO could also see price increases.
Ticker / NAME | Correlation To CCEP | 1D Price Change % | ||
---|---|---|---|---|
CCEP | 100% | +0.13% | ||
KO - CCEP | 53% Loosely correlated | +0.25% | ||
PRMW - CCEP | 40% Loosely correlated | N/A | ||
COKE - CCEP | 39% Loosely correlated | +1.10% | ||
KOF - CCEP | 37% Loosely correlated | +1.46% | ||
PEP - CCEP | 37% Loosely correlated | +1.04% | ||
More |
A.I.dvisor indicates that over the last year, PBJ has been loosely correlated with K. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if PBJ jumps, then K could also see price increases.