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SCOR vs SHOP
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 SCOR is a StrongBuy and SHOP 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).
SCOR’s FA Score shows that 0 FA rating(s) are green whileSHOP’s FA Score has 0 green FA rating(s).
- SCOR’s FA Score: 0 green, 5 red.
- SHOP’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.
SCOR’s TA Score shows that 5 TA indicator(s) are bullish while SHOP’s TA Score has 4 bullish TA indicator(s).
- SCOR’s TA Score: 5 bullish, 5 bearish.
- SHOP’s TA Score: 4 bullish, 6 bearish.
Price Growth
SCOR (@Packaged Software) experienced а -0.46% price change this week, while SHOP (@Packaged Software) price change was -13.24% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was -7.06%. For the same industry, the average monthly price growth was -5.61%, and the average quarterly price growth was +165.15%.
Reported Earning Dates
SHOP is expected to report earnings on Feb 11, 2026.
Industries' Descriptions
@Packaged Software (-7.06% 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.
| SCOR | SHOP | SCOR / SHOP | |
| Capitalization | 43.3M | 156B | 0% |
| EBITDA | 29.3M | 1.71B | 2% |
| Gain YTD | 32.769 | -25.893 | -127% |
| P/E Ratio | N/A | 87.71 | - |
| Revenue | 359M | 10.7B | 3% |
| Total Cash | 26.7M | 6.35B | 0% |
| Total Debt | 56.7M | 1.12B | 5% |
SCOR | SHOP | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 30 | 4 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 36 Fair valued | 91 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 93 | |
SMR RATING 1..100 | 100 | 52 | |
PRICE GROWTH RATING 1..100 | 40 | 64 | |
P/E GROWTH RATING 1..100 | 100 | 71 | |
SEASONALITY SCORE 1..100 | 50 | 90 |
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.
SCOR's Valuation (36) in the Miscellaneous Commercial Services industry is somewhat better than the same rating for SHOP (91) in the Information Technology Services industry. This means that SCOR’s stock grew somewhat faster than SHOP’s over the last 12 months.
SHOP's Profit vs Risk Rating (93) in the Information Technology Services industry is in the same range as SCOR (100) in the Miscellaneous Commercial Services industry. This means that SHOP’s stock grew similarly to SCOR’s over the last 12 months.
SHOP's SMR Rating (52) in the Information Technology Services industry is somewhat better than the same rating for SCOR (100) in the Miscellaneous Commercial Services industry. This means that SHOP’s stock grew somewhat faster than SCOR’s over the last 12 months.
SCOR's Price Growth Rating (40) in the Miscellaneous Commercial Services industry is in the same range as SHOP (64) in the Information Technology Services industry. This means that SCOR’s stock grew similarly to SHOP’s over the last 12 months.
SHOP's P/E Growth Rating (71) in the Information Technology Services industry is in the same range as SCOR (100) in the Miscellaneous Commercial Services industry. This means that SHOP’s stock grew similarly to SCOR’s over the last 12 months.
| SCOR | SHOP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 77% | 2 days ago 73% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 70% |
| TrendWeek ODDS (%) | 2 days ago 89% | 2 days ago 75% |
| TrendMonth ODDS (%) | 2 days ago 71% | 2 days ago 76% |
| Advances ODDS (%) | 2 days ago 77% | 7 days ago 81% |
| Declines ODDS (%) | 9 days ago 89% | 14 days ago 75% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 75% |
| Aroon ODDS (%) | 2 days ago 81% | 2 days ago 79% |
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SCOR and
Correlation & Price change
A.I.dvisor tells us that SCOR and SHOP have been poorly correlated (+30% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SCOR and SHOP's prices will move in lockstep.
| Ticker / NAME | Correlation To SCOR | 1D Price Change % | ||
|---|---|---|---|---|
| SCOR | 100% | +0.70% | ||
| SHOP - SCOR | 30% Poorly correlated | -9.77% | ||
| NATL - SCOR | 29% Poorly correlated | -2.54% | ||
| RNG - SCOR | 28% Poorly correlated | -6.09% | ||
| CARG - SCOR | 28% Poorly correlated | -8.96% | ||
| KVYO - SCOR | 27% Poorly correlated | -10.68% | ||
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SHOP and
Correlation & Price change
A.I.dvisor indicates that over the last year, SHOP has been closely correlated with COIN. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if SHOP jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To SHOP | 1D Price Change % | ||
|---|---|---|---|---|
| SHOP | 100% | -9.77% | ||
| COIN - SHOP | 67% Closely correlated | -4.36% | ||
| RNG - SHOP | 64% Loosely correlated | -6.09% | ||
| CLSK - SHOP | 64% Loosely correlated | +2.90% | ||
| RIOT - SHOP | 62% Loosely correlated | +0.13% | ||
| FTNT - SHOP | 62% Loosely correlated | -2.45% | ||
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