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).
PEP’s FA Score shows that 3 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.
PEP’s TA Score shows that 4 TA indicator(s) are bullish.
PEP (@Beverages: Non-Alcoholic) experienced а +2.13% 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%.
PEP is expected to report earnings on Feb 06, 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.
PEP | ||
---|---|---|
OUTLOOK RATING 1..100 | 3 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 28 Undervalued | |
PROFIT vs RISK RATING 1..100 | 30 | |
SMR RATING 1..100 | 20 | |
PRICE GROWTH RATING 1..100 | 61 | |
P/E GROWTH RATING 1..100 | 80 | |
SEASONALITY SCORE 1..100 | 50 |
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.
PEP | XLP | |
---|---|---|
RSI ODDS (%) | 2 days ago55% | N/A |
Stochastic ODDS (%) | 2 days ago54% | 2 days ago76% |
Momentum ODDS (%) | 2 days ago35% | 2 days ago69% |
MACD ODDS (%) | 2 days ago44% | 2 days ago86% |
TrendWeek ODDS (%) | 2 days ago37% | 2 days ago81% |
TrendMonth ODDS (%) | 2 days ago43% | 2 days ago72% |
Advances ODDS (%) | 2 days ago38% | 4 days ago81% |
Declines ODDS (%) | 4 days ago37% | 8 days ago73% |
BollingerBands ODDS (%) | 2 days ago57% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago40% | 2 days ago65% |
A.I.dvisor indicates that over the last year, PEP has been loosely correlated with KO. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if PEP jumps, then KO could also see price increases.
Ticker / NAME | Correlation To PEP | 1D Price Change % | ||
---|---|---|---|---|
PEP | 100% | +1.01% | ||
KO - PEP | 57% Loosely correlated | +1.22% | ||
KDP - PEP | 52% Loosely correlated | +0.62% | ||
FIZZ - PEP | 40% Loosely correlated | +0.27% | ||
CCEP - PEP | 36% Loosely correlated | +2.79% | ||
MNST - PEP | 36% Loosely correlated | +0.52% | ||
More |
A.I.dvisor indicates that over the last year, XLP has been closely correlated with KO. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if XLP jumps, then KO could also see price increases.