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SHOP 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 SHOP is a Hold and XYZ is a Hold.
| SHOP | XYZ | SHOP / XYZ | |
| Capitalization | 166B | 47.5B | 349% |
| EBITDA | 2.39B | 3.51B | 68% |
| Gain YTD | -19.991 | 21.693 | -92% |
| P/E Ratio | 87.02 | 141.45 | 62% |
| Revenue | 13.3B | 25B | 53% |
| Total Cash | 4.95B | 12.3B | 40% |
| Total Debt | 178M | 7.17B | 2% |
SHOP | XYZ | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 63 | 67 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 84 Overvalued | 78 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 55 | 89 | |
PRICE GROWTH RATING 1..100 | 59 | 43 | |
P/E GROWTH RATING 1..100 | 32 | 2 | |
SEASONALITY SCORE 1..100 | 50 | 50 |
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 (78) in the Information Technology Services industry is in the same range as SHOP (84). This means that XYZ’s stock grew similarly to SHOP’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 SHOP (100). This means that XYZ’s stock grew similarly to SHOP’s over the last 12 months.
SHOP's SMR Rating (55) in the Information Technology Services industry is somewhat better than the same rating for XYZ (89). This means that SHOP’s stock grew somewhat faster than XYZ’s over the last 12 months.
XYZ's Price Growth Rating (43) in the Information Technology Services industry is in the same range as SHOP (59). This means that XYZ’s stock grew similarly to SHOP’s over the last 12 months.
XYZ's P/E Growth Rating (2) in the Information Technology Services industry is in the same range as SHOP (32). This means that XYZ’s stock grew similarly to SHOP’s over the last 12 months.
| SHOP | XYZ | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 74% | N/A |
| Stochastic ODDS (%) | 1 day ago 86% | 1 day ago 74% |
| Momentum ODDS (%) | 1 day ago 75% | 1 day ago 74% |
| MACD ODDS (%) | 1 day ago 68% | 1 day ago 85% |
| TrendWeek ODDS (%) | 1 day ago 75% | 1 day ago 78% |
| TrendMonth ODDS (%) | 1 day ago 76% | 1 day ago 80% |
| Advances ODDS (%) | 10 days ago 81% | 10 days ago 75% |
| Declines ODDS (%) | 3 days ago 74% | 3 days ago 78% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 74% |
| Aroon ODDS (%) | 1 day ago 87% | 1 day ago 77% |
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).
SHOP’s FA Score shows that 1 FA rating(s) are green while XYZ’s FA Score has 1 green FA rating(s).
- SHOP’s FA Score: 1 green, 4 red.
- XYZ’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.
SHOP’s TA Score shows that 5 TA indicator(s) are bullish while XYZ’s TA Score has 4 bullish TA indicator(s).
- SHOP’s TA Score: 5 bullish, 5 bearish.
- XYZ’s TA Score: 4 bullish, 4 bearish.
Price Growth
SHOP (@Packaged Software) experienced а -11.23% price change this week, while XYZ (@Computer Communications) price change was -4.29% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was -4.16%. For the same industry, the average monthly price growth was -6.20%, and the average quarterly price growth was +3.48%.
The average weekly price growth across all stocks in the @Computer Communications industry was -3.13%. For the same industry, the average monthly price growth was -6.47%, and the average quarterly price growth was +14.57%.
Reported Earning Dates
SHOP is expected to report earnings on Oct 22, 2026.
XYZ is expected to report earnings on Nov 05, 2026.
Industries' Descriptions
@Packaged Software (-4.16% 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.
@Computer Communications (-3.13% weekly)Computer communications industry develops technology that allows computing devices to exchange data with each other using connections/data links between nodes. Common types of computer network include Cloud (IAN), Internet, Wide (WAN, Local (LAN)/Wireless(WLAN) etc. The industry is an ever-more important part of technology, and is set to become even bigger as the Internet of Things (IoT) rapidly forays into the various aspects of our lives. Cisco Systems, Inc., Palo Alto Networks, Inc. and Arista Networks, Inc., Fortinet, Inc. are some of the major computer communications companies.
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XYZ and
Correlation & Price change
A.I.dvisor indicates that over the last year, XYZ has been closely correlated with COIN. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if XYZ jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To XYZ | 1D Price Change % | ||
|---|---|---|---|---|
| XYZ | 100% | +0.18% | ||
| COIN - XYZ | 72% Closely correlated | +1.73% | ||
| CLSK - XYZ | 67% Closely correlated | +6.80% | ||
| RIOT - XYZ | 62% Loosely correlated | +2.48% | ||
| SHOP - XYZ | 55% Loosely correlated | +1.73% | ||
| AVPT - XYZ | 53% Loosely correlated | -0.94% | ||
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