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 1 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 3 TA indicator(s) are bullish.
CCEP (@Beverages: Non-Alcoholic) experienced а +1.56% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Beverages: Non-Alcoholic industry was +0.95%. For the same industry, the average monthly price growth was -2.95%, and the average quarterly price growth was -2.96%.
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 | 73 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 32 Undervalued | |
PROFIT vs RISK RATING 1..100 | 49 | |
SMR RATING 1..100 | 91 | |
PRICE GROWTH RATING 1..100 | 51 | |
P/E GROWTH RATING 1..100 | 39 | |
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 | GSEU | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 2 days ago62% | 2 days ago76% |
Momentum ODDS (%) | 2 days ago55% | 2 days ago71% |
MACD ODDS (%) | 2 days ago59% | N/A |
TrendWeek ODDS (%) | 2 days ago60% | 2 days ago75% |
TrendMonth ODDS (%) | 2 days ago49% | 2 days ago73% |
Advances ODDS (%) | 5 days ago60% | 8 days ago79% |
Declines ODDS (%) | 12 days ago46% | 13 days ago75% |
BollingerBands ODDS (%) | N/A | 2 days ago82% |
Aroon ODDS (%) | 2 days ago54% | 2 days ago68% |
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% | -1.09% | ||
KO - CCEP | 53% Loosely correlated | -0.88% | ||
PRMW - CCEP | 40% Loosely correlated | N/A | ||
COKE - CCEP | 39% Loosely correlated | -0.38% | ||
KOF - CCEP | 37% Loosely correlated | -0.75% | ||
PEP - CCEP | 32% Poorly correlated | -0.51% | ||
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A.I.dvisor indicates that over the last year, GSEU has been loosely correlated with ACA. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if GSEU jumps, then ACA could also see price increases.
Ticker / NAME | Correlation To GSEU | 1D Price Change % | ||
---|---|---|---|---|
GSEU | 100% | +0.19% | ||
ACA - GSEU | 51% Loosely correlated | +0.49% | ||
ALC - GSEU | 50% Loosely correlated | -0.36% | ||
WPP - GSEU | 49% Loosely correlated | -0.38% | ||
CCEP - GSEU | 43% Loosely correlated | -1.09% | ||
GMAB - GSEU | 42% Loosely correlated | +0.52% | ||
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