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).
AACT’s FA Score shows that 0 FA rating(s) are green whileESHA’s FA Score has 0 green FA rating(s).
AACT (@Financial Conglomerates) experienced а +0.09% price change this week, while ESHA (@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 +0.18%. For the same industry, the average monthly price growth was +4.51%, and the average quarterly price growth was +30.92%.
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.
AACT | ESHA | AACT / ESHA | |
Capitalization | 660M | 152M | 434% |
EBITDA | -1.12M | -391.76K | 287% |
Gain YTD | 4.885 | 5.478 | 89% |
P/E Ratio | 29.33 | 167.28 | 18% |
Revenue | 0 | 0 | - |
Total Cash | 1.91M | 1.97M | 97% |
Total Debt | 5M | N/A | - |
AACT | |
---|---|
RSI ODDS (%) | N/A |
Stochastic ODDS (%) | N/A |
Momentum ODDS (%) | N/A |
MACD ODDS (%) | N/A |
TrendWeek ODDS (%) | 4 days ago0% |
TrendMonth ODDS (%) | 4 days ago0% |
Advances ODDS (%) | N/A |
Declines ODDS (%) | N/A |
BollingerBands ODDS (%) | N/A |
Aroon ODDS (%) | N/A |
A.I.dvisor tells us that AACT and PWUPU have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AACT and PWUPU's prices will move in lockstep.
Ticker / NAME | Correlation To AACT | 1D Price Change % | ||
---|---|---|---|---|
AACT | 100% | N/A | ||
PWUPU - AACT | 21% Poorly correlated | N/A | ||
PLMJU - AACT | 20% Poorly correlated | N/A | ||
NETD - AACT | 13% Poorly correlated | N/A | ||
ALCYU - AACT | 12% Poorly correlated | N/A | ||
ESHA - AACT | 11% Poorly correlated | N/A | ||
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A.I.dvisor tells us that ESHA and IPXXU have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ESHA and IPXXU's prices will move in lockstep.
Ticker / NAME | Correlation To ESHA | 1D Price Change % | ||
---|---|---|---|---|
ESHA | 100% | N/A | ||
IPXXU - ESHA | 24% Poorly correlated | N/A | ||
BNIX - ESHA | 21% Poorly correlated | N/A | ||
IGTA - ESHA | 20% Poorly correlated | N/A | ||
CSLM - ESHA | 20% Poorly correlated | N/A | ||
FORLU - ESHA | 20% Poorly correlated | N/A | ||
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