MOGO vs XYZ
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 MOGO is a Buy and XYZ is a Buy.
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).
MOGO’s FA Score shows that 0 FA rating(s) are green whileXYZ’s FA Score has 0 green FA rating(s).
- MOGO’s FA Score: 0 green, 5 red.
- XYZ’s FA Score: 0 green, 5 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.
MOGO’s TA Score shows that 5 TA indicator(s) are bullish while XYZ’s TA Score has 5 bullish TA indicator(s).
- MOGO’s TA Score: 5 bullish, 1 bearish.
- XYZ’s TA Score: 5 bullish, 4 bearish.
Price Growth
MOGO (@Packaged Software) experienced а +24.69% price change this week, while XYZ (@Packaged Software) price change was +6.68% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +4.57%. For the same industry, the average monthly price growth was -1.89%, and the average quarterly price growth was +4.46%.
Reported Earning Dates
MOGO is expected to report earnings on Nov 09, 2023.
XYZ is expected to report earnings on Jul 31, 2025.
Industries' Descriptions
@Packaged Software (+4.57% 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.
| MOGO | XYZ | MOGO / XYZ | |
| Capitalization | 48.8M | 52.1B | 0% |
| EBITDA | -85.02M | 790M | -11% |
| Gain YTD | -26.471 | -32.345 | 82% |
| P/E Ratio | 147.06 | 4073.00 | 4% |
| Revenue | 65.2M | 21.9B | 0% |
| Total Cash | 17.7M | 9.02B | 0% |
| Total Debt | 86.4M | 6.07B | 1% |
MOGO | XYZ | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 10 | 14 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 87 Overvalued | 54 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 94 | 56 | |
PRICE GROWTH RATING 1..100 | 87 | 86 | |
P/E GROWTH RATING 1..100 | 82 | 100 | |
SEASONALITY SCORE 1..100 | n/a | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
XYZ's Valuation (54) in the Information Technology Services industry is somewhat better than the same rating for MOGO (87) in the Finance Or Rental Or Leasing industry. This means that XYZ’s stock grew somewhat faster than MOGO’s over the last 12 months.
XYZ's Profit vs Risk Rating (100) in the Information Technology Services industry is in the same range as MOGO (100) in the Finance Or Rental Or Leasing industry. This means that XYZ’s stock grew similarly to MOGO’s over the last 12 months.
XYZ's SMR Rating (56) in the Information Technology Services industry is somewhat better than the same rating for MOGO (94) in the Finance Or Rental Or Leasing industry. This means that XYZ’s stock grew somewhat faster than MOGO’s over the last 12 months.
XYZ's Price Growth Rating (86) in the Information Technology Services industry is in the same range as MOGO (87) in the Finance Or Rental Or Leasing industry. This means that XYZ’s stock grew similarly to MOGO’s over the last 12 months.
MOGO's P/E Growth Rating (82) in the Finance Or Rental Or Leasing industry is in the same range as XYZ (100) in the Information Technology Services industry. This means that MOGO’s stock grew similarly to XYZ’s over the last 12 months.
| MOGO | XYZ | |
|---|---|---|
| RSI ODDS (%) | N/A | 6 days ago 78% |
| Stochastic ODDS (%) | 6 days ago 75% | 6 days ago 76% |
| Momentum ODDS (%) | 6 days ago 75% | 6 days ago 77% |
| MACD ODDS (%) | 6 days ago 78% | 6 days ago 77% |
| TrendWeek ODDS (%) | 6 days ago 79% | 6 days ago 81% |
| TrendMonth ODDS (%) | 6 days ago 89% | 6 days ago 83% |
| Advances ODDS (%) | 14 days ago 80% | 13 days ago 78% |
| Declines ODDS (%) | 12 days ago 88% | 24 days ago 80% |
| BollingerBands ODDS (%) | 6 days ago 78% | 6 days ago 81% |
| Aroon ODDS (%) | N/A | 6 days ago 87% |
MOGO and
Correlation & Price change
A.I.dvisor indicates that over the last year, MOGO has been loosely correlated with CPAY. These tickers have moved in lockstep 46% of the time. This A.I.-generated data suggests there is some statistical probability that if MOGO jumps, then CPAY could also see price increases.
| Ticker / NAME | Correlation To MOGO | 1D Price Change % | ||
|---|---|---|---|---|
| MOGO | 100% | -3.85% | ||
| CPAY - MOGO | 46% Loosely correlated | +2.33% | ||
| SRAD - MOGO | 45% Loosely correlated | -4.30% | ||
| XYZ - MOGO | 45% Loosely correlated | +3.31% | ||
| QTWO - MOGO | 41% Loosely correlated | +1.96% | ||
| EVCM - MOGO | 41% Loosely correlated | +1.79% | ||
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XYZ and
Correlation & Price change
A.I.dvisor indicates that over the last year, XYZ has been loosely correlated with DBX. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if XYZ jumps, then DBX could also see price increases.
| Ticker / NAME | Correlation To XYZ | 1D Price Change % | ||
|---|---|---|---|---|
| XYZ | 100% | +3.31% | ||
| DBX - XYZ | 61% Loosely correlated | +3.16% | ||
| AFRM - XYZ | 60% Loosely correlated | +2.90% | ||
| OLO - XYZ | 55% Loosely correlated | +3.49% | ||
| ANSS - XYZ | 54% Loosely correlated | +2.51% | ||
| EVCM - XYZ | 54% Loosely correlated | +1.79% | ||
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