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).
ASCBF’s FA Score shows that 1 FA rating(s) are green whileMNTN’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.
MNTN’s TA Score shows that 2 TA indicator(s) are bullish.
ASCBF (@Financial Conglomerates) experienced а 0.00% price change this week, while MNTN (@Packaged Software) price change was +4.54% for the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was +1.48%. For the same industry, the average monthly price growth was +5.58%, and the average quarterly price growth was +69.99%.
The average weekly price growth across all stocks in the @Packaged Software industry was -0.88%. For the same industry, the average monthly price growth was -7.53%, and the average quarterly price growth was +36.27%.
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.
@Packaged Software (-0.88% weekly)Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
| ASCBF | MNTN | ASCBF / MNTN | |
| Capitalization | 64.1M | 1.02B | 6% |
| EBITDA | -722.18K | -2.92M | 25% |
| Gain YTD | 9.298 | N/A | - |
| P/E Ratio | 24.47 | N/A | - |
| Revenue | 0 | 260M | - |
| Total Cash | 169K | 175M | 0% |
| Total Debt | 225K | 51.3M | 0% |
| ASCBF | MNTN | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | N/A | 2 days ago 26% |
| Momentum ODDS (%) | N/A | 2 days ago 13% |
| MACD ODDS (%) | N/A | 2 days ago 11% |
| TrendWeek ODDS (%) | 2 days ago 21% | 2 days ago 20% |
| TrendMonth ODDS (%) | 2 days ago 24% | 2 days ago 32% |
| Advances ODDS (%) | N/A | 2 days ago 32% |
| Declines ODDS (%) | N/A | 9 days ago 47% |
| BollingerBands ODDS (%) | N/A | 2 days ago 9% |
| Aroon ODDS (%) | N/A | 2 days ago 77% |
A.I.dvisor tells us that ASCBF and PLMIU have been poorly correlated (+30% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ASCBF and PLMIU's prices will move in lockstep.
| Ticker / NAME | Correlation To ASCBF | 1D Price Change % | ||
|---|---|---|---|---|
| ASCBF | 100% | N/A | ||
| PLMIU - ASCBF | 30% Poorly correlated | N/A | ||
| PEGR - ASCBF | 30% Poorly correlated | N/A | ||
| ASUUF - ASCBF | 29% Poorly correlated | N/A | ||
| MNTN - ASCBF | 27% Poorly correlated | +1.42% | ||
| VMCUF - ASCBF | 26% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, MNTN has been loosely correlated with DOMO. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if MNTN jumps, then DOMO could also see price increases.
| Ticker / NAME | Correlation To MNTN | 1D Price Change % | ||
|---|---|---|---|---|
| MNTN | 100% | +1.42% | ||
| DOMO - MNTN | 38% Loosely correlated | +1.21% | ||
| EONR - MNTN | 37% Loosely correlated | -3.38% | ||
| SLAMF - MNTN | 36% Loosely correlated | N/A | ||
| ASCBF - MNTN | 27% Poorly correlated | N/A | ||
| ATMV - MNTN | 25% Poorly correlated | +3.33% | ||
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