Loading...
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 whileTOP’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.
AGBA’s TA Score shows that 6 TA indicator(s) are bullish while TOP’s TA Score has 6 bullish TA indicator(s).
AGBA (@Investment Banks/Brokers) experienced а +11.82% price change this week, while TOP (@Investment Banks/Brokers) price change was +6.61% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was +0.76%. For the same industry, the average monthly price growth was +2.65%, and the average quarterly price growth was +17087.79%.
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.
AGBA | TOP | AGBA / TOP | |
Capitalization | 32.5M | 103M | 32% |
EBITDA | -58.18M | N/A | - |
Gain YTD | 669.269 | -27.513 | -2,433% |
P/E Ratio | 0.97 | 18.32 | 5% |
Revenue | 47.3M | N/A | - |
Total Cash | 1.62M | N/A | - |
Total Debt | 18.9M | N/A | - |
AGBA | TOP | |
---|---|---|
RSI ODDS (%) | 1 day ago13% | 1 day ago82% |
Stochastic ODDS (%) | 1 day ago17% | 1 day ago90% |
Momentum ODDS (%) | 1 day ago21% | 1 day ago78% |
MACD ODDS (%) | 2 days ago21% | 1 day ago85% |
TrendWeek ODDS (%) | 1 day ago15% | 1 day ago83% |
TrendMonth ODDS (%) | 1 day ago12% | 1 day ago79% |
Advances ODDS (%) | 8 days ago38% | 3 days ago86% |
Declines ODDS (%) | 2 days ago79% | 10 days ago88% |
BollingerBands ODDS (%) | 1 day ago19% | 1 day ago90% |
Aroon ODDS (%) | 1 day ago5% | N/A |
A.I.dvisor indicates that over the last year, AGBA has been loosely correlated with MBTC. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if AGBA jumps, then MBTC could also see price increases.
Ticker / NAME | Correlation To AGBA | 1D Price Change % | ||
---|---|---|---|---|
AGBA | 100% | +9.20% | ||
MBTC - AGBA | 36% Loosely correlated | N/A | ||
SEPAU - AGBA | 32% Poorly correlated | +3.97% | ||
CONX - AGBA | 30% Poorly correlated | N/A | ||
TOP - AGBA | 28% Poorly correlated | +5.38% | ||
IVCPU - AGBA | 25% Poorly correlated | N/A | ||
More |
A.I.dvisor indicates that over the last year, TOP has been loosely correlated with SIEB. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if TOP jumps, then SIEB could also see price increases.
Ticker / NAME | Correlation To TOP | 1D Price Change % | ||
---|---|---|---|---|
TOP | 100% | +5.38% | ||
SIEB - TOP | 41% Loosely correlated | -9.50% | ||
LGHL - TOP | 30% Poorly correlated | +0.47% | ||
AGBA - TOP | 28% Poorly correlated | +9.20% | ||
SNEX - TOP | 21% Poorly correlated | +1.77% | ||
BGC - TOP | 21% Poorly correlated | -1.80% | ||
More |