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).
ASCBU’s FA Score shows that 1 FA rating(s) are green whileCCTS’s FA Score has 0 green FA rating(s).
ASCBU (@Financial Conglomerates) experienced а +1.77% price change this week, while CCTS (@Financial Conglomerates) price change was +0.09% for the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was +1.78%. For the same industry, the average monthly price growth was +2.36%, and the average quarterly price growth was +8.00%.
CCTS is expected to report earnings on Mar 30, 2023.
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.
ASCBU | CCTS | ASCBU / CCTS | |
Capitalization | N/A | 56.3M | - |
EBITDA | -842.03K | -1.28M | 66% |
Gain YTD | 6.089 | 4.758 | 128% |
P/E Ratio | N/A | 30.83 | - |
Revenue | 0 | 0 | - |
Total Cash | 442K | 28K | 1,579% |
Total Debt | 225K | 300K | 75% |
RSI ODDS (%) |
Stochastic ODDS (%) |
Momentum ODDS (%) |
MACD ODDS (%) |
TrendWeek ODDS (%) |
TrendMonth ODDS (%) |
Advances ODDS (%) |
Declines ODDS (%) |
BollingerBands ODDS (%) |
Aroon ODDS (%) |
1 Day | |||
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Principal Global Sus Lstd Inf Inst |
A.I.dvisor tells us that ASCBU and PPYA have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ASCBU and PPYA's prices will move in lockstep.
Ticker / NAME | Correlation To ASCBU | 1D Price Change % | ||
---|---|---|---|---|
ASCBU | 100% | N/A | ||
PPYA - ASCBU | 31% Poorly correlated | N/A | ||
RENEU - ASCBU | 29% Poorly correlated | N/A | ||
ASCB - ASCBU | 29% Poorly correlated | N/A | ||
GAMCU - ASCBU | 28% Poorly correlated | N/A | ||
CCTS - ASCBU | 27% Poorly correlated | -0.09% | ||
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A.I.dvisor indicates that over the last year, CCTS has been loosely correlated with TGAA. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if CCTS jumps, then TGAA could also see price increases.
Ticker / NAME | Correlation To CCTS | 1D Price Change % | ||
---|---|---|---|---|
CCTS | 100% | -0.09% | ||
TGAA - CCTS | 51% Loosely correlated | N/A | ||
WTMA - CCTS | 41% Loosely correlated | N/A | ||
INTE - CCTS | 40% Loosely correlated | +0.54% | ||
IXAQU - CCTS | 39% Loosely correlated | N/A | ||
BYNO - CCTS | 36% Loosely correlated | N/A | ||
More |