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).
CABPF’s FA Score shows that 0 FA rating(s) are green whileSMFNF’s FA Score has 2 green FA rating(s).
CABPF (@Major Banks) experienced а -9.43% price change this week, while SMFNF (@Major Banks) price change was -7.59% for the same time period.
The average weekly price growth across all stocks in the @Major Banks industry was -0.50%. For the same industry, the average monthly price growth was +0.79%, and the average quarterly price growth was +8.34%.
Major banks are among the biggest companies in the world, often times with global reach and market capitalizations in the multi-billions. Large banks often have multiple arms spanning different disciplines, from deposits, to investment banking, to wealth management and insurance. The biggest banks often have key competitive advantages over smaller players in the industry in terms of brand recognition, cost of capital, and efficiency. Think J.P. Morgan, Bank of America, Wells Fargo, and Citigroup.
CABPF | SMFNF | CABPF / SMFNF | |
Capitalization | N/A | 61.9B | - |
EBITDA | N/A | N/A | - |
Gain YTD | -12.727 | 40.702 | -31% |
P/E Ratio | N/A | 10.93 | - |
Revenue | N/A | 3.72T | - |
Total Cash | N/A | N/A | - |
Total Debt | N/A | 29.38T | - |
SMFNF | ||
---|---|---|
OUTLOOK RATING 1..100 | 31 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 44 Fair valued | |
PROFIT vs RISK RATING 1..100 | 14 | |
SMR RATING 1..100 | 1 | |
PRICE GROWTH RATING 1..100 | 41 | |
P/E GROWTH RATING 1..100 | 78 | |
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.
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A.I.dvisor tells us that CABPF and SMFNF have been poorly correlated (+12% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CABPF and SMFNF's prices will move in lockstep.
Ticker / NAME | Correlation To CABPF | 1D Price Change % | ||
---|---|---|---|---|
CABPF | 100% | N/A | ||
SMFNF - CABPF | 12% Poorly correlated | -6.48% | ||
WEBNF - CABPF | 11% Poorly correlated | +3.96% | ||
SVNLY - CABPF | 11% Poorly correlated | +0.40% | ||
ANZGF - CABPF | 1% Poorly correlated | N/A | ||
ANZGY - CABPF | 1% Poorly correlated | +1.29% | ||
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A.I.dvisor tells us that SMFNF and SMFG have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SMFNF and SMFG's prices will move in lockstep.
Ticker / NAME | Correlation To SMFNF | 1D Price Change % | ||
---|---|---|---|---|
SMFNF | 100% | -6.48% | ||
SMFG - SMFNF | 29% Poorly correlated | +2.88% | ||
CMWAY - SMFNF | 25% Poorly correlated | +1.56% | ||
BACHF - SMFNF | 24% Poorly correlated | +5.43% | ||
HBCYF - SMFNF | 23% Poorly correlated | -0.10% | ||
MUFG - SMFNF | 21% Poorly correlated | +4.96% | ||
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