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).
CSTUF’s FA Score shows that 0 FA rating(s) are green whilePORTU’s FA Score has 0 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.
CSTUF’s TA Score shows that 1 TA indicator(s) are bullish while PORTU’s TA Score has 1 bullish TA indicator(s).
CSTUF (@Financial Conglomerates) experienced а +3.42% price change this week, while PORTU (@Financial Conglomerates) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was -0.19%. For the same industry, the average monthly price growth was +0.56%, and the average quarterly price growth was +28.80%.
Financial conglomerates usually encompass a wide range of financial services including (not necessarily limited to) investment banking, insurance, capital raising/underwriting, trading of financial securities, investment advisory services, wealth management of high net-worth individuals, and retail banking. Think Citigroup, American Express Company, ING Group.
CSTUF | PORTU | CSTUF / PORTU | |
Capitalization | N/A | N/A | - |
EBITDA | N/A | N/A | - |
Gain YTD | 3.421 | 0.000 | - |
P/E Ratio | N/A | N/A | - |
Revenue | N/A | N/A | - |
Total Cash | N/A | N/A | - |
Total Debt | N/A | N/A | - |
CSTUF | PORTU | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | N/A | 12 days ago27% |
Momentum ODDS (%) | 12 days ago4% | N/A |
MACD ODDS (%) | N/A | 12 days ago5% |
TrendWeek ODDS (%) | 12 days ago6% | 12 days ago27% |
TrendMonth ODDS (%) | 12 days ago7% | 12 days ago23% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | N/A |
Aroon ODDS (%) | N/A | N/A |
A.I.dvisor indicates that over the last year, CSTUF has been loosely correlated with IVCPU. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if CSTUF jumps, then IVCPU could also see price increases.
Ticker / NAME | Correlation To CSTUF | 1D Price Change % | ||
---|---|---|---|---|
CSTUF | 100% | N/A | ||
IVCPU - CSTUF | 35% Loosely correlated | N/A | ||
PORT - CSTUF | 30% Poorly correlated | N/A | ||
JMTM - CSTUF | 24% Poorly correlated | N/A | ||
MANDF - CSTUF | 1% Poorly correlated | N/A | ||
GLAC - CSTUF | 0% Poorly correlated | +0.09% | ||
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A.I.dvisor tells us that PORTU and SPKLU have been poorly correlated (+14% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that PORTU and SPKLU's prices will move in lockstep.
Ticker / NAME | Correlation To PORTU | 1D Price Change % | ||
---|---|---|---|---|
PORTU | 100% | N/A | ||
SPKLU - PORTU | 14% Poorly correlated | N/A | ||
KVAC - PORTU | 6% Poorly correlated | +0.18% | ||
MANDF - PORTU | 0% Poorly correlated | N/A | ||
QETAU - PORTU | 0% Poorly correlated | N/A | ||
CSTUF - PORTU | 0% Poorly correlated | N/A | ||
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