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).
CPBLF’s FA Score shows that 2 FA rating(s) are green whileDAO’s FA Score has 0 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.
CPBLF’s TA Score shows that 3 TA indicator(s) are bullish while DAO’s TA Score has 3 bullish TA indicator(s).
CPBLF (@Data Processing Services) experienced а 0.00% price change this week, while DAO (@Other Consumer Specialties) price change was -2.79% for the same time period.
The average weekly price growth across all stocks in the @Data Processing Services industry was +3.95%. For the same industry, the average monthly price growth was +36.36%, and the average quarterly price growth was +37.60%.
The average weekly price growth across all stocks in the @Other Consumer Specialties industry was +1.02%. For the same industry, the average monthly price growth was +3.64%, and the average quarterly price growth was +21.28%.
DAO is expected to report earnings on Nov 13, 2025.
The industry involves capturing raw data from various sources, extracting meaningful information from it and presenting it in a more accessible digital format. Many people would agree that data is the new gold, which makes data processing services all the more relevant for businesses’ strategic decisions. PayPal Holdings Inc., Fidelity National Information Services, Inc. and Automatic Data Processing, Inc. some of the big players in his burgeoning industry.
@Other Consumer Specialties (+1.02% weekly)‘Other Consumer Specialties’ represents an industry that typically sells durable consumer products, but do not have a classification in another category. The products include jewelry, smoke detectors, watches, collectibles and safety products. MSA Safety (makes products which enhances the safety and health of workers and protect facility infrastructures), Matthews International (memorialization business), Fitbit (makes wireless-enabled wearable technology devices that gauge data such as the number of steps walked, heart rate, quality of sleep), and Fossil Group (makes watches and accessories) have some of the largest market caps in this group.
CPBLF | DAO | CPBLF / DAO | |
Capitalization | 6.22B | 1.04B | 597% |
EBITDA | 675M | 297M | 227% |
Gain YTD | 14.241 | 17.838 | 80% |
P/E Ratio | 31.87 | 32.27 | 99% |
Revenue | 3B | 5.63B | 53% |
Total Cash | 268M | 611M | 44% |
Total Debt | 2.09B | 1.83B | 114% |
CPBLF | DAO | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 38 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 11 Undervalued | 72 Overvalued | |
PROFIT vs RISK RATING 1..100 | 32 | 100 | |
SMR RATING 1..100 | 66 | 100 | |
PRICE GROWTH RATING 1..100 | 52 | 41 | |
P/E GROWTH RATING 1..100 | 100 | 97 | |
SEASONALITY SCORE 1..100 | 50 | n/a |
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.
CPBLF's Valuation (11) in the null industry is somewhat better than the same rating for DAO (72). This means that CPBLF’s stock grew somewhat faster than DAO’s over the last 12 months.
CPBLF's Profit vs Risk Rating (32) in the null industry is significantly better than the same rating for DAO (100). This means that CPBLF’s stock grew significantly faster than DAO’s over the last 12 months.
CPBLF's SMR Rating (66) in the null industry is somewhat better than the same rating for DAO (100). This means that CPBLF’s stock grew somewhat faster than DAO’s over the last 12 months.
DAO's Price Growth Rating (41) in the null industry is in the same range as CPBLF (52). This means that DAO’s stock grew similarly to CPBLF’s over the last 12 months.
DAO's P/E Growth Rating (97) in the null industry is in the same range as CPBLF (100). This means that DAO’s stock grew similarly to CPBLF’s over the last 12 months.
CPBLF | DAO | |
---|---|---|
RSI ODDS (%) | 4 days ago27% | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago36% | 3 days ago78% |
Momentum ODDS (%) | 3 days ago44% | 3 days ago90% |
MACD ODDS (%) | 3 days ago32% | 3 days ago82% |
TrendWeek ODDS (%) | 3 days ago28% | 3 days ago82% |
TrendMonth ODDS (%) | 3 days ago26% | 3 days ago84% |
Advances ODDS (%) | N/A | 10 days ago77% |
Declines ODDS (%) | N/A | 14 days ago82% |
BollingerBands ODDS (%) | N/A | 3 days ago90% |
Aroon ODDS (%) | 3 days ago25% | 3 days ago71% |
1 Day | |||
---|---|---|---|
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A.I.dvisor indicates that over the last year, CPBLF has been loosely correlated with MRLWF. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if CPBLF jumps, then MRLWF could also see price increases.
Ticker / NAME | Correlation To CPBLF | 1D Price Change % | ||
---|---|---|---|---|
CPBLF | 100% | N/A | ||
MRLWF - CPBLF | 51% Loosely correlated | N/A | ||
BSEFY - CPBLF | 33% Loosely correlated | N/A | ||
DIGTF - CPBLF | 31% Poorly correlated | N/A | ||
DAO - CPBLF | 31% Poorly correlated | +4.43% | ||
BVRDF - CPBLF | 1% Poorly correlated | N/A | ||
More |
A.I.dvisor indicates that over the last year, DAO has been loosely correlated with MRLWF. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if DAO jumps, then MRLWF could also see price increases.
Ticker / NAME | Correlation To DAO | 1D Price Change % | ||
---|---|---|---|---|
DAO | 100% | +4.43% | ||
MRLWF - DAO | 42% Loosely correlated | N/A | ||
CPBLF - DAO | 31% Poorly correlated | N/A | ||
DIGTF - DAO | 30% Poorly correlated | N/A | ||
COUR - DAO | 27% Poorly correlated | +0.36% | ||
ARMK - DAO | 24% Poorly correlated | -0.84% | ||
More |