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).
AGBA’s FA Score shows that 0 FA rating(s) are green whileIVCPU’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.
AGBA’s TA Score shows that 4 TA indicator(s) are bullish.
AGBA (@Investment Banks/Brokers) experienced а -0.88% price change this week, while IVCPU (@Financial Conglomerates) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was +2.31%. For the same industry, the average monthly price growth was +3.72%, and the average quarterly price growth was +4.40%.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was +1.35%. For the same industry, the average monthly price growth was +2.09%, and the average quarterly price growth was +7.86%.
AGBA is expected to report earnings on Apr 03, 2023.
These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
@Financial Conglomerates (+1.35% weekly)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.
AGBA | IVCPU | AGBA / IVCPU | |
Capitalization | 32.5M | N/A | - |
EBITDA | -58.18M | -3.1M | 1,876% |
Gain YTD | 361.380 | 2.985 | 12,106% |
P/E Ratio | 0.97 | N/A | - |
Revenue | 47.3M | 0 | - |
Total Cash | 1.62M | 173K | 938% |
Total Debt | 18.9M | N/A | - |
AGBA | |
---|---|
RSI ODDS (%) | N/A |
Stochastic ODDS (%) | 4 days ago38% |
Momentum ODDS (%) | 4 days ago28% |
MACD ODDS (%) | 4 days ago34% |
TrendWeek ODDS (%) | 4 days ago58% |
TrendMonth ODDS (%) | 4 days ago17% |
Advances ODDS (%) | 19 days ago47% |
Declines ODDS (%) | 12 days ago82% |
BollingerBands ODDS (%) | 4 days ago27% |
Aroon ODDS (%) | 4 days ago13% |
A.I.dvisor tells us that AGBA and TOP have been poorly correlated (+28% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AGBA and TOP's prices will move in lockstep.
Ticker / NAME | Correlation To AGBA | 1D Price Change % | ||
---|---|---|---|---|
AGBA | 100% | N/A | ||
TOP - AGBA | 28% Poorly correlated | -1.20% | ||
IVCPU - AGBA | 25% Poorly correlated | N/A | ||
MEGL - AGBA | 22% Poorly correlated | +0.36% | ||
SIEB - AGBA | 22% Poorly correlated | +1.01% | ||
AMRK - AGBA | 21% Poorly correlated | +2.24% | ||
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A.I.dvisor indicates that over the last year, IVCPU has been loosely correlated with GHIXU. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if IVCPU jumps, then GHIXU could also see price increases.
Ticker / NAME | Correlation To IVCPU | 1D Price Change % | ||
---|---|---|---|---|
IVCPU | 100% | N/A | ||
GHIXU - IVCPU | 45% Loosely correlated | -0.19% | ||
MCAAU - IVCPU | 40% Loosely correlated | N/A | ||
PFTA - IVCPU | 37% Loosely correlated | +1.41% | ||
ATEK - IVCPU | 36% Loosely correlated | -0.22% | ||
BHACU - IVCPU | 33% Poorly correlated | N/A | ||
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