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).
PMCUF’s FA Score shows that 3 FA rating(s) are green whilePONGF’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.
PONGF’s TA Score shows that 4 TA indicator(s) are bullish.
PMCUF (@Packaged Software) experienced а +2.27% price change this week, while PONGF (@Packaged Software) price change was -4.00% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was -1.01%. For the same industry, the average monthly price growth was +2.04%, and the average quarterly price growth was +3.33%.
Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
PMCUF | PONGF | PMCUF / PONGF | |
Capitalization | 4.8B | 62.8M | 7,645% |
EBITDA | 78.6M | -14.1M | -557% |
Gain YTD | 96.201 | 20.000 | 481% |
P/E Ratio | 140.85 | 135.14 | 104% |
Revenue | 106M | 13.2M | 803% |
Total Cash | 90.6M | 2.6M | 3,485% |
Total Debt | 2.28M | 4.2M | 54% |
PMCUF | PONGF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | 87 Overvalued | |
PROFIT vs RISK RATING 1..100 | 2 | 100 | |
SMR RATING 1..100 | 19 | 97 | |
PRICE GROWTH RATING 1..100 | 37 | 71 | |
P/E GROWTH RATING 1..100 | 20 | 6 | |
SEASONALITY SCORE 1..100 | n/a | 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.
PONGF's Valuation (87) in the null industry is in the same range as PMCUF (94). This means that PONGF’s stock grew similarly to PMCUF’s over the last 12 months.
PMCUF's Profit vs Risk Rating (2) in the null industry is significantly better than the same rating for PONGF (100). This means that PMCUF’s stock grew significantly faster than PONGF’s over the last 12 months.
PMCUF's SMR Rating (19) in the null industry is significantly better than the same rating for PONGF (97). This means that PMCUF’s stock grew significantly faster than PONGF’s over the last 12 months.
PMCUF's Price Growth Rating (37) in the null industry is somewhat better than the same rating for PONGF (71). This means that PMCUF’s stock grew somewhat faster than PONGF’s over the last 12 months.
PONGF's P/E Growth Rating (6) in the null industry is in the same range as PMCUF (20). This means that PONGF’s stock grew similarly to PMCUF’s over the last 12 months.
PONGF | |
---|---|
RSI ODDS (%) | N/A |
Stochastic ODDS (%) | 4 days ago75% |
Momentum ODDS (%) | 4 days ago84% |
MACD ODDS (%) | 4 days ago78% |
TrendWeek ODDS (%) | 4 days ago87% |
TrendMonth ODDS (%) | 4 days ago89% |
Advances ODDS (%) | 25 days ago82% |
Declines ODDS (%) | 7 days ago86% |
BollingerBands ODDS (%) | 4 days ago88% |
Aroon ODDS (%) | 4 days ago90% |
A.I.dvisor tells us that PMCUF and OCLCF have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that PMCUF and OCLCF's prices will move in lockstep.
Ticker / NAME | Correlation To PMCUF | 1D Price Change % | ||
---|---|---|---|---|
PMCUF | 100% | N/A | ||
OCLCF - PMCUF | 32% Poorly correlated | N/A | ||
TMSNY - PMCUF | 29% Poorly correlated | -3.33% | ||
FSLY - PMCUF | 29% Poorly correlated | -9.72% | ||
NEXXY - PMCUF | 22% Poorly correlated | N/A | ||
TMNSF - PMCUF | 21% Poorly correlated | N/A | ||
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A.I.dvisor tells us that PONGF and PRYNF have been poorly correlated (+20% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that PONGF and PRYNF's prices will move in lockstep.
Ticker / NAME | Correlation To PONGF | 1D Price Change % | ||
---|---|---|---|---|
PONGF | 100% | -7.69% | ||
PRYNF - PONGF | 20% Poorly correlated | N/A | ||
OVTZ - PONGF | 10% Poorly correlated | +4.84% | ||
PBSV - PONGF | 9% Poorly correlated | N/A | ||
PMCUF - PONGF | 5% Poorly correlated | N/A | ||
OTGLY - PONGF | 4% Poorly correlated | -4.80% | ||
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