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).
FTFI’s FA Score shows that 1 FA rating(s) are green whileMFDB’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.
FTFI’s TA Score shows that 3 TA indicator(s) are bullish while MFDB’s TA Score has 4 bullish TA indicator(s).
FTFI (@Regional Banks) experienced а +2.26% price change this week, while MFDB (@Regional Banks) price change was -5.45% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -3.34%. For the same industry, the average monthly price growth was -1.11%, and the average quarterly price growth was +19.80%.
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.
FTFI | MFDB | FTFI / MFDB | |
Capitalization | 48M | 5.17M | 929% |
EBITDA | N/A | N/A | - |
Gain YTD | 42.515 | 47.727 | 89% |
P/E Ratio | 6.29 | N/A | - |
Revenue | 26.3M | N/A | - |
Total Cash | N/A | N/A | - |
Total Debt | 51.3M | N/A | - |
MFDB | ||
---|---|---|
OUTLOOK RATING 1..100 | 95 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 8 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 89 | |
PRICE GROWTH RATING 1..100 | 52 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 75 |
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.
FTFI | MFDB | |
---|---|---|
RSI ODDS (%) | 3 days ago9% | 3 days ago45% |
Stochastic ODDS (%) | 3 days ago7% | 3 days ago44% |
Momentum ODDS (%) | 3 days ago31% | 3 days ago58% |
MACD ODDS (%) | 3 days ago17% | 3 days ago60% |
TrendWeek ODDS (%) | 3 days ago26% | 3 days ago56% |
TrendMonth ODDS (%) | 3 days ago7% | 3 days ago34% |
Advances ODDS (%) | 10 days ago50% | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | 10 days ago6% | N/A |
Aroon ODDS (%) | 3 days ago50% | 3 days ago44% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
MFEM | 19.67 | -0.06 | -0.28% |
PIMCO RAFI Dyn Mlt-Fctr Emrg Mkts Eq ETF | |||
VIG | 201.22 | -1.25 | -0.62% |
Vanguard Dividend Appreciation ETF | |||
XVV | 46.66 | -0.30 | -0.65% |
iShares® ESG Screened S&P 500 ETF | |||
SQLV | 44.06 | -0.46 | -1.03% |
Royce Quant Small-Cap Quality Value ETF | |||
NUSC | 44.14 | -0.51 | -1.14% |
Nuveen ESG Small-Cap ETF |
A.I.dvisor tells us that FTFI and PGNN have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FTFI and PGNN's prices will move in lockstep.
Ticker / NAME | Correlation To FTFI | 1D Price Change % | ||
---|---|---|---|---|
FTFI | 100% | N/A | ||
PGNN - FTFI | 26% Poorly correlated | N/A | ||
OTPBF - FTFI | 25% Poorly correlated | N/A | ||
BOID - FTFI | 23% Poorly correlated | N/A | ||
MFDB - FTFI | 22% Poorly correlated | N/A | ||
HMST - FTFI | 22% Poorly correlated | +0.09% | ||
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A.I.dvisor indicates that over the last year, MFDB has been loosely correlated with WBZB. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if MFDB jumps, then WBZB could also see price increases.
Ticker / NAME | Correlation To MFDB | 1D Price Change % | ||
---|---|---|---|---|
MFDB | 100% | N/A | ||
WBZB - MFDB | 35% Loosely correlated | N/A | ||
AMFC - MFDB | 33% Loosely correlated | -7.91% | ||
FBSI - MFDB | 30% Poorly correlated | N/A | ||
HMST - MFDB | 28% Poorly correlated | +0.09% | ||
SVBT - MFDB | 26% Poorly correlated | +0.59% | ||
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