WIGBY vs YMM
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 WIGBY is a Hold and YMM is a Hold.
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
WIGBY’s FA Score shows that 1 FA rating(s) are green whileYMM’s FA Score has 1 green FA rating(s).
- WIGBY’s FA Score: 1 green, 4 red.
- YMM’s FA Score: 1 green, 4 red.
Short-Term Analysis
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.
YMM’s TA Score shows that 2 TA indicator(s) are bullish.
- YMM’s TA Score: 2 bullish, 4 bearish.
Price Growth
WIGBY (@Packaged Software) experienced а 0.00% price change this week, while YMM (@Packaged Software) price change was -7.92% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +0.05%. For the same industry, the average monthly price growth was +4.87%, and the average quarterly price growth was +3.96%.
Industries' Descriptions
@Packaged Software (+0.05% 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.
| WIGBY | YMM | WIGBY / YMM | |
| Capitalization | 19.1B | 7.78B | 245% |
| EBITDA | 302M | 1.95B | 16% |
| Gain YTD | 57.554 | 20.003 | 288% |
| P/E Ratio | 107.53 | 30.00 | 358% |
| Revenue | 730M | 7.95B | 9% |
| Total Cash | N/A | 19.8B | - |
| Total Debt | N/A | 57.4M | - |
| YMM | |
|---|---|
| RSI ODDS (%) | N/A |
| Stochastic ODDS (%) | 1 day ago 72% |
| Momentum ODDS (%) | 1 day ago 81% |
| MACD ODDS (%) | N/A |
| TrendWeek ODDS (%) | 1 day ago 84% |
| TrendMonth ODDS (%) | 1 day ago 85% |
| Advances ODDS (%) | N/A |
| Declines ODDS (%) | 1 day ago 83% |
| BollingerBands ODDS (%) | 1 day ago 84% |
| Aroon ODDS (%) | 1 day ago 90% |
WIGBY and
Correlation & Price change
A.I.dvisor indicates that over the last year, WIGBY has been loosely correlated with ADYEY. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if WIGBY jumps, then ADYEY could also see price increases.
| Ticker / NAME | Correlation To WIGBY | 1D Price Change % | ||
|---|---|---|---|---|
| WIGBY | 100% | N/A | ||
| ADYEY - WIGBY | 37% Loosely correlated | -1.26% | ||
| ADYYF - WIGBY | 34% Loosely correlated | +0.00% | ||
| SLP - WIGBY | 32% Poorly correlated | -6.66% | ||
| ZDGGF - WIGBY | 29% Poorly correlated | N/A | ||
| YMM - WIGBY | 24% Poorly correlated | -2.14% | ||
More | ||||
YMM and
Correlation & Price change
A.I.dvisor indicates that over the last year, YMM has been loosely correlated with BILI. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if YMM jumps, then BILI could also see price increases.
| Ticker / NAME | Correlation To YMM | 1D Price Change % | ||
|---|---|---|---|---|
| YMM | 100% | -2.14% | ||
| BILI - YMM | 55% Loosely correlated | -12.60% | ||
| KC - YMM | 45% Loosely correlated | +4.49% | ||
| NTES - YMM | 34% Loosely correlated | +10.41% | ||
| YALA - YMM | 34% Loosely correlated | -3.56% | ||
| SOHU - YMM | 31% Poorly correlated | +3.86% | ||
More | ||||