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).
KPCPF’s FA Score shows that 2 FA rating(s) are green whileKPCPY’s FA Score has 2 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.
KPCPY’s TA Score shows that 2 TA indicator(s) are bullish.
KPCPF (@Regional Banks) experienced а 0.00% price change this week, while KPCPY (@Regional Banks) price change was -3.04% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.80%. For the same industry, the average monthly price growth was +4.68%, and the average quarterly price growth was +18.06%.
Regional banks have a smaller reach than major banks, and cater mostly to one region of a country, such as a state or within a group of states. They offer services often similar – albeit with some limitations/smaller scale – compared to major banks. Taking deposits, making loans, mortgages, leases, credit cards , fund management, insurance and investment banking. SunTrust Banks, State Street Corp., M&T Bank Corp. are some examples of U.S. regional banks.
KPCPF | KPCPY | KPCPF / KPCPY | |
Capitalization | 8.71B | 8.71B | 100% |
EBITDA | N/A | N/A | - |
Gain YTD | 6.383 | 12.456 | 51% |
P/E Ratio | 8.39 | 8.67 | 97% |
Revenue | 180B | 180B | 100% |
Total Cash | N/A | N/A | - |
Total Debt | 254B | 254B | 100% |
KPCPF | KPCPY | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 96 | 70 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 11 Undervalued | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 94 | |
SMR RATING 1..100 | 1 | 1 | |
PRICE GROWTH RATING 1..100 | 51 | 54 | |
P/E GROWTH RATING 1..100 | 65 | 56 | |
SEASONALITY SCORE 1..100 | 55 | 65 |
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.
KPCPF's Valuation (11) in the null industry is in the same range as KPCPY (13). This means that KPCPF’s stock grew similarly to KPCPY’s over the last 12 months.
KPCPY's Profit vs Risk Rating (94) in the null industry is in the same range as KPCPF (100). This means that KPCPY’s stock grew similarly to KPCPF’s over the last 12 months.
KPCPY's SMR Rating (1) in the null industry is in the same range as KPCPF (1). This means that KPCPY’s stock grew similarly to KPCPF’s over the last 12 months.
KPCPF's Price Growth Rating (51) in the null industry is in the same range as KPCPY (54). This means that KPCPF’s stock grew similarly to KPCPY’s over the last 12 months.
KPCPY's P/E Growth Rating (56) in the null industry is in the same range as KPCPF (65). This means that KPCPY’s stock grew similarly to KPCPF’s over the last 12 months.
KPCPY | |
---|---|
RSI ODDS (%) | N/A |
Stochastic ODDS (%) | 1 day ago73% |
Momentum ODDS (%) | 1 day ago73% |
MACD ODDS (%) | N/A |
TrendWeek ODDS (%) | 1 day ago68% |
TrendMonth ODDS (%) | 1 day ago65% |
Advances ODDS (%) | N/A |
Declines ODDS (%) | 1 day ago68% |
BollingerBands ODDS (%) | 1 day ago79% |
Aroon ODDS (%) | 1 day ago65% |
A.I.dvisor indicates that over the last year, KPCPF has been loosely correlated with UNBK. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if KPCPF jumps, then UNBK could also see price increases.
Ticker / NAME | Correlation To KPCPF | 1D Price Change % | ||
---|---|---|---|---|
KPCPF | 100% | N/A | ||
UNBK - KPCPF | 36% Loosely correlated | N/A | ||
GWBK - KPCPF | 30% Poorly correlated | N/A | ||
KGTFF - KPCPF | 22% Poorly correlated | N/A | ||
MCBI - KPCPF | 20% Poorly correlated | N/A | ||
KPCPY - KPCPF | 5% Poorly correlated | -0.24% | ||
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A.I.dvisor tells us that KPCPY and CEFC have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that KPCPY and CEFC's prices will move in lockstep.
Ticker / NAME | Correlation To KPCPY | 1D Price Change % | ||
---|---|---|---|---|
KPCPY | 100% | -0.24% | ||
CEFC - KPCPY | 21% Poorly correlated | N/A | ||
MSBB - KPCPY | 21% Poorly correlated | -0.07% | ||
BKKLY - KPCPY | 21% Poorly correlated | +0.45% | ||
KGTFF - KPCPY | 10% Poorly correlated | N/A | ||
KGTFY - KPCPY | 8% Poorly correlated | N/A | ||
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