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 whileLGHL’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 5 TA indicator(s) are bullish while LGHL’s TA Score has 5 bullish TA indicator(s).
AGBA (@Investment Banks/Brokers) experienced а -11.29% price change this week, while LGHL (@Investment Banks/Brokers) price change was -2.44% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -3.61%. For the same industry, the average monthly price growth was +6.21%, and the average quarterly price growth was +0.63%.
AGBA is expected to report earnings on Apr 03, 2023.
LGHL is expected to report earnings on Dec 02, 2022.
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 | LGHL | AGBA / LGHL | |
Capitalization | 32.5M | 3.14M | 1,036% |
EBITDA | -58.18M | -28.94M | 201% |
Gain YTD | 365.911 | -83.437 | -439% |
P/E Ratio | 0.97 | N/A | - |
Revenue | 47.3M | -2.48M | -1,905% |
Total Cash | 1.62M | 11.2M | 14% |
Total Debt | 18.9M | 5.39M | 351% |
AGBA | LGHL | |
---|---|---|
RSI ODDS (%) | 4 days ago68% | 3 days ago90% |
Stochastic ODDS (%) | 3 days ago23% | 3 days ago90% |
Momentum ODDS (%) | 3 days ago27% | N/A |
MACD ODDS (%) | 3 days ago28% | 3 days ago73% |
TrendWeek ODDS (%) | 3 days ago58% | 3 days ago90% |
TrendMonth ODDS (%) | 3 days ago17% | 3 days ago90% |
Advances ODDS (%) | 10 days ago47% | 9 days ago87% |
Declines ODDS (%) | 3 days ago82% | 4 days ago90% |
BollingerBands ODDS (%) | 3 days ago24% | 3 days ago86% |
Aroon ODDS (%) | 3 days ago11% | 3 days ago90% |
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% | -9.16% | ||
TOP - AGBA | 28% Poorly correlated | -0.97% | ||
IVCPU - AGBA | 25% Poorly correlated | N/A | ||
MEGL - AGBA | 22% Poorly correlated | -0.07% | ||
SIEB - AGBA | 22% Poorly correlated | -0.56% | ||
AMRK - AGBA | 21% Poorly correlated | +7.96% | ||
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A.I.dvisor tells us that LGHL and TOP have been poorly correlated (+30% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that LGHL and TOP's prices will move in lockstep.
Ticker / NAME | Correlation To LGHL | 1D Price Change % | ||
---|---|---|---|---|
LGHL | 100% | +8.60% | ||
TOP - LGHL | 30% Poorly correlated | -0.97% | ||
MEGL - LGHL | 26% Poorly correlated | -0.07% | ||
TREE - LGHL | 21% Poorly correlated | -3.39% | ||
AGBA - LGHL | 21% Poorly correlated | -9.16% | ||
NDAQ - LGHL | 20% Poorly correlated | -0.07% | ||
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