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).
ASCBF’s FA Score shows that 0 FA rating(s) are green whilePLMIU’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.
ASCBF’s TA Score shows that 1 TA indicator(s) are bullish while PLMIU’s TA Score has 1 bullish TA indicator(s).
ASCBF (@Financial Conglomerates) experienced а +0.09% price change this week, while PLMIU (@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 +0.33%. For the same industry, the average monthly price growth was +4.34%, and the average quarterly price growth was +31.79%.
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.
ASCBF | PLMIU | ASCBF / PLMIU | |
Capitalization | 26.7M | N/A | - |
EBITDA | -842.03K | 725K | -116% |
Gain YTD | 1.013 | 2.446 | 41% |
P/E Ratio | 24.76 | N/A | - |
Revenue | 0 | 0 | - |
Total Cash | 442K | 94.7K | 467% |
Total Debt | 225K | 1.25M | 18% |
ASCBF | PLMIU | |
---|---|---|
RSI ODDS (%) | 4 days ago4% | N/A |
Stochastic ODDS (%) | 4 days ago3% | N/A |
Momentum ODDS (%) | N/A | N/A |
MACD ODDS (%) | N/A | N/A |
TrendWeek ODDS (%) | 4 days ago28% | 4 days ago16% |
TrendMonth ODDS (%) | 4 days ago34% | 4 days ago14% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | N/A |
Aroon ODDS (%) | N/A | N/A |
1 Day | |||
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A.I.dvisor indicates that over the last year, ASCBF has been loosely correlated with IVCAU. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if ASCBF jumps, then IVCAU could also see price increases.
Ticker / NAME | Correlation To ASCBF | 1D Price Change % | ||
---|---|---|---|---|
ASCBF | 100% | N/A | ||
IVCAU - ASCBF | 35% Loosely correlated | +0.17% | ||
PLMIU - ASCBF | 30% Poorly correlated | N/A | ||
PEGR - ASCBF | 30% Poorly correlated | N/A | ||
ASUUF - ASCBF | 29% Poorly correlated | N/A | ||
VMCAU - ASCBF | 26% Poorly correlated | N/A | ||
More |