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CAN vs SSYS
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 CAN is a Hold and SSYS 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).
CAN’s FA Score shows that 1 FA rating(s) are green whileSSYS’s FA Score has 0 green FA rating(s).
- CAN’s FA Score: 1 green, 4 red.
- SSYS’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.
CAN’s TA Score shows that 5 TA indicator(s) are bullish while SSYS’s TA Score has 5 bullish TA indicator(s).
- CAN’s TA Score: 5 bullish, 3 bearish.
- SSYS’s TA Score: 5 bullish, 4 bearish.
Price Growth
CAN (@Computer Processing Hardware) experienced а +10.66% price change this week, while SSYS (@Computer Processing Hardware) price change was +0.50% for the same time period.
The average weekly price growth across all stocks in the @Computer Processing Hardware industry was +4.15%. For the same industry, the average monthly price growth was +10.28%, and the average quarterly price growth was +75.34%.
Reported Earning Dates
CAN is expected to report earnings on Apr 15, 2026.
SSYS is expected to report earnings on Mar 04, 2026.
Industries' Descriptions
@Computer Processing Hardware (+4.15% weekly)Computer Processing Hardware industry produces central processing unit, monitor, keyboard, computer data storage devices, and graphics card. Business activity and economic growth are potential drivers of this industry – if more businesses are growing or flourishing, so would their investments in computer equipment. Dell Technologies, Inc, Hewlett Packard Enterprise Co., NCR Corporation are key producers of computer processing hardware.
| CAN | SSYS | CAN / SSYS | |
| Capitalization | 583M | 865M | 67% |
| EBITDA | -184.66M | -19.13M | 965% |
| Gain YTD | 24.594 | 15.092 | 163% |
| P/E Ratio | N/A | N/A | - |
| Revenue | 345M | 561M | 61% |
| Total Cash | 119M | 255M | 47% |
| Total Debt | 47.7M | 31.1M | 153% |
CAN | SSYS | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 7 | 5 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 41 Fair valued | 100 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 98 | 95 | |
PRICE GROWTH RATING 1..100 | 87 | 52 | |
P/E GROWTH RATING 1..100 | 4 | 84 | |
SEASONALITY SCORE 1..100 | 3 | 85 |
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.
CAN's Valuation (41) in the null industry is somewhat better than the same rating for SSYS (100) in the Electronic Equipment Or Instruments industry. This means that CAN’s stock grew somewhat faster than SSYS’s over the last 12 months.
CAN's Profit vs Risk Rating (100) in the null industry is in the same range as SSYS (100) in the Electronic Equipment Or Instruments industry. This means that CAN’s stock grew similarly to SSYS’s over the last 12 months.
SSYS's SMR Rating (95) in the Electronic Equipment Or Instruments industry is in the same range as CAN (98) in the null industry. This means that SSYS’s stock grew similarly to CAN’s over the last 12 months.
SSYS's Price Growth Rating (52) in the Electronic Equipment Or Instruments industry is somewhat better than the same rating for CAN (87) in the null industry. This means that SSYS’s stock grew somewhat faster than CAN’s over the last 12 months.
CAN's P/E Growth Rating (4) in the null industry is significantly better than the same rating for SSYS (84) in the Electronic Equipment Or Instruments industry. This means that CAN’s stock grew significantly faster than SSYS’s over the last 12 months.
| CAN | SSYS | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | 2 days ago 84% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Momentum ODDS (%) | 2 days ago 81% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 77% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 82% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 71% |
| Advances ODDS (%) | 2 days ago 86% | 10 days ago 74% |
| Declines ODDS (%) | 8 days ago 87% | 15 days ago 81% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 80% |
| Aroon ODDS (%) | 2 days ago 90% | N/A |
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CAN and
Correlation & Price change
A.I.dvisor indicates that over the last year, CAN has been loosely correlated with BTCT. These tickers have moved in lockstep 46% of the time. This A.I.-generated data suggests there is some statistical probability that if CAN jumps, then BTCT could also see price increases.
| Ticker / NAME | Correlation To CAN | 1D Price Change % | ||
|---|---|---|---|---|
| CAN | 100% | +4.33% | ||
| BTCT - CAN | 46% Loosely correlated | N/A | ||
| RGTI - CAN | 42% Loosely correlated | -4.15% | ||
| QUBT - CAN | 41% Loosely correlated | -3.47% | ||
| QBTS - CAN | 39% Loosely correlated | +0.07% | ||
| HPQ - CAN | 39% Loosely correlated | -0.47% | ||
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SSYS and
Correlation & Price change
A.I.dvisor indicates that over the last year, SSYS has been loosely correlated with DDD. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if SSYS jumps, then DDD could also see price increases.
| Ticker / NAME | Correlation To SSYS | 1D Price Change % | ||
|---|---|---|---|---|
| SSYS | 100% | -4.13% | ||
| DDD - SSYS | 51% Loosely correlated | -4.45% | ||
| CRSR - SSYS | 37% Loosely correlated | -3.56% | ||
| NNDM - SSYS | 36% Loosely correlated | +1.76% | ||
| LOGI - SSYS | 32% Poorly correlated | -0.78% | ||
| CAN - SSYS | 31% Poorly correlated | +4.33% | ||
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