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APXTU vs FERA
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is APXTU is a Hold and FERA is a Hold.
| APXTU | FERA | APXTU / FERA | |
| Capitalization | N/A | 329M | - |
| EBITDA | N/A | -3.7M | - |
| Gain YTD | 1.891 | 2.138 | 88% |
| P/E Ratio | N/A | 65.75 | - |
| Revenue | N/A | 0 | - |
| Total Cash | 569K | 158K | 360% |
| Total Debt | 186K | N/A | - |
| RSI ODDS (%) |
| Stochastic ODDS (%) |
| Momentum ODDS (%) |
| MACD ODDS (%) |
| TrendWeek ODDS (%) |
| TrendMonth ODDS (%) |
| Advances ODDS (%) |
| Declines ODDS (%) |
| BollingerBands ODDS (%) |
| Aroon ODDS (%) |
Long-Term Analysis
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
APXTU’s FA Score shows that 0 FA rating(s) are green while FERA’s FA Score has 0 green FA rating(s).
- APXTU’s FA Score: 0 green, 5 red.
- FERA’s FA Score: 0 green, 5 red.
Price Growth
APXTU (@Financial Conglomerates) experienced а 0.00% price change this week, while FERA (@Financial Conglomerates) price change was +0.10% for the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was +0.08%. For the same industry, the average monthly price growth was +1.00%, and the average quarterly price growth was +2.83%.
Industries' Descriptions
@Financial Conglomerates (+0.08% 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.
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APXTU and
Correlation & Price change
A.I.dvisor indicates that over the last year, APXTU has been loosely correlated with JACS. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if APXTU jumps, then JACS could also see price increases.
| Ticker / NAME | Correlation To APXTU | 1D Price Change % | ||
|---|---|---|---|---|
| APXTU | 100% | -0.39% | ||
| JACS - APXTU | 35% Loosely correlated | +0.09% | ||
| MACI - APXTU | 30% Poorly correlated | N/A | ||
| ONCHU - APXTU | 23% Poorly correlated | +0.67% | ||
| FERA - APXTU | 23% Poorly correlated | N/A | ||
| SZZLU - APXTU | 21% Poorly correlated | N/A | ||
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FERA and
Correlation & Price change
A.I.dvisor tells us that FERA and GIWWU have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FERA and GIWWU's prices will move in lockstep.
| Ticker / NAME | Correlation To FERA | 1D Price Change % | ||
|---|---|---|---|---|
| FERA | 100% | N/A | ||
| GIWWU - FERA | 26% Poorly correlated | N/A | ||
| WENN - FERA | 23% Poorly correlated | -0.19% | ||
| APXTU - FERA | 23% Poorly correlated | -0.39% | ||
| SZZL - FERA | 23% Poorly correlated | +0.10% | ||
| ALFUU - FERA | 22% Poorly correlated | N/A | ||
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