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).
SPCX’s FA Score shows that 0 FA rating(s) are green whileSVCCU’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.
SVCCU’s TA Score shows that 4 TA indicator(s) are bullish.
SPCX (@Aerospace & Defense) experienced а 0.00% price change this week, while SVCCU (@Financial Conglomerates) price change was +2.82% for the same time period.
The average weekly price growth across all stocks in the @Aerospace & Defense industry was -1.16%. For the same industry, the average monthly price growth was +2.06%, and the average quarterly price growth was +17.36%.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was -0.46%. For the same industry, the average monthly price growth was +0.71%, and the average quarterly price growth was +2.01%.
Aerospace & Defense is one of largest industries in the U.S., mainly comprising the following areas: commercial airliners, military aircraft, missiles, space, and general aviation. Focused heavily on research & development, it is also one of the fastest growing industries. Military aircraft has the largest market share in the industry’s sales, followed by space systems, civil aircraft, and missiles. Aerospace exports, directly and indirectly, support more jobs than the export of any other commodity, according to a study by the U.S. Department of Commerce. Boeing Company, Lockheed Martin Corporation and General Electric Company are some of the most prominent players in this space.
@Financial Conglomerates (-0.46% 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.
| SPCX | SVCCU | SPCX / SVCCU | |
| Capitalization | 2.11T | N/A | - |
| EBITDA | N/A | -567.86K | - |
| Gain YTD | 638.808 | 3.992 | 16,001% |
| P/E Ratio | N/A | N/A | - |
| Revenue | N/A | 0 | - |
| Total Cash | N/A | 181K | - |
| Total Debt | N/A | N/A | - |
| SVCCU | |
|---|---|
| RSI ODDS (%) | 3 days ago 17% |
| Stochastic ODDS (%) | N/A |
| Momentum ODDS (%) | N/A |
| MACD ODDS (%) | 3 days ago 14% |
| TrendWeek ODDS (%) | 3 days ago 37% |
| TrendMonth ODDS (%) | 3 days ago 42% |
| Advances ODDS (%) | 14 days ago 14% |
| Declines ODDS (%) | N/A |
| BollingerBands ODDS (%) | 3 days ago 17% |
| Aroon ODDS (%) | N/A |
A.I.dvisor tells us that SPCX and CLBR have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SPCX and CLBR's prices will move in lockstep.
| Ticker / NAME | Correlation To SPCX | 1D Price Change % | ||
|---|---|---|---|---|
| SPCX | 100% | N/A | ||
| CLBR - SPCX | 31% Poorly correlated | -0.39% | ||
| IMSR - SPCX | 20% Poorly correlated | -0.14% | ||
| FVNNU - SPCX | 16% Poorly correlated | -5.35% | ||
| EMBJ - SPCX | 12% Poorly correlated | +3.03% | ||
| SVCCU - SPCX | 10% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, SVCCU has been loosely correlated with AACBU. These tickers have moved in lockstep 34% of the time. This A.I.-generated data suggests there is some statistical probability that if SVCCU jumps, then AACBU could also see price increases.
| Ticker / NAME | Correlation To SVCCU | 1D Price Change % | ||
|---|---|---|---|---|
| SVCCU | 100% | N/A | ||
| AACBU - SVCCU | 34% Loosely correlated | N/A | ||
| CEPO - SVCCU | 30% Poorly correlated | -0.09% | ||
| BKHA - SVCCU | 22% Poorly correlated | N/A | ||
| TAVI - SVCCU | 20% Poorly correlated | +0.28% | ||
| PGAC - SVCCU | 13% Poorly correlated | N/A | ||
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