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).
FMOO’s FA Score shows that 1 FA rating(s) are green whileJTNB’s FA Score has 1 green FA rating(s).
FMOO (@Regional Banks) experienced а 0.00% price change this week, while JTNB (@Regional Banks) price change was -4.11% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.40%. For the same industry, the average monthly price growth was +3.87%, and the average quarterly price growth was +18.03%.
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.
FMOO | JTNB | FMOO / JTNB | |
Capitalization | N/A | 8.5M | - |
EBITDA | N/A | N/A | - |
Gain YTD | N/A | 55.342 | - |
P/E Ratio | N/A | N/A | - |
Revenue | N/A | N/A | - |
Total Cash | N/A | N/A | - |
Total Debt | N/A | N/A | - |
FMOO | JTNB | ||
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OUTLOOK RATING 1..100 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 1 Undervalued | 29 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 100 | 100 | |
PRICE GROWTH RATING 1..100 | 57 | 44 | |
P/E GROWTH RATING 1..100 | 100 | 54 | |
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.
FMOO's Valuation (1) in the null industry is in the same range as JTNB (29). This means that FMOO’s stock grew similarly to JTNB’s over the last 12 months.
FMOO's Profit vs Risk Rating (100) in the null industry is in the same range as JTNB (100). This means that FMOO’s stock grew similarly to JTNB’s over the last 12 months.
FMOO's SMR Rating (100) in the null industry is in the same range as JTNB (100). This means that FMOO’s stock grew similarly to JTNB’s over the last 12 months.
JTNB's Price Growth Rating (44) in the null industry is in the same range as FMOO (57). This means that JTNB’s stock grew similarly to FMOO’s over the last 12 months.
JTNB's P/E Growth Rating (54) in the null industry is somewhat better than the same rating for FMOO (100). This means that JTNB’s stock grew somewhat faster than FMOO’s over the last 12 months.
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1 Day | |||
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MFs / NAME | Price $ | Chg $ | Chg % |
MLPOX | 9.18 | 0.10 | +1.10% |
Invesco SteelPath MLP Alpha Y | |||
JNGSX | 12.01 | 0.02 | +0.17% |
Janus Henderson Global Real Estate D | |||
SIIEX | 15.62 | -0.03 | -0.19% |
Touchstone International Value Y | |||
IFACX | 25.29 | -0.11 | -0.43% |
American Funds Income Fund of Amer C | |||
MCFGX | 18.81 | -0.49 | -2.54% |
BlackRock Capital Appreciation Inv C |
A.I.dvisor tells us that FMOO and HMLN have been poorly correlated (+9% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FMOO and HMLN's prices will move in lockstep.
Ticker / NAME | Correlation To FMOO | 1D Price Change % | ||
---|---|---|---|---|
FMOO | 100% | N/A | ||
HMLN - FMOO | 9% Poorly correlated | N/A | ||
DSBX - FMOO | 9% Poorly correlated | N/A | ||
JTNB - FMOO | 4% Poorly correlated | N/A | ||
FIDS - FMOO | 0% Poorly correlated | N/A | ||
EBSH - FMOO | 0% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, JTNB has been loosely correlated with BPIRF. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if JTNB jumps, then BPIRF could also see price increases.
Ticker / NAME | Correlation To JTNB | 1D Price Change % | ||
---|---|---|---|---|
JTNB | 100% | N/A | ||
BPIRF - JTNB | 35% Loosely correlated | N/A | ||
RMBHF - JTNB | 29% Poorly correlated | N/A | ||
PNBI - JTNB | 26% Poorly correlated | N/A | ||
ALBKY - JTNB | 22% Poorly correlated | N/A | ||
MBBC - JTNB | 22% Poorly correlated | N/A | ||
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