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).
SHOP’s FA Score shows that 0 FA rating(s) are green whileSWI’s FA Score has 0 green FA rating(s).
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 4 TA indicator(s) are bullish while SWI’s TA Score has 6 bullish TA indicator(s).
SHOP (@Packaged Software) experienced а +27.50% price change this week, while SWI (@Packaged Software) price change was -1.83% 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%.
SHOP is expected to report earnings on Feb 12, 2025.
SWI is expected to report earnings on Feb 06, 2025.
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.
SHOP | SWI | SHOP / SWI | |
Capitalization | 99.3B | 2.1B | 4,722% |
EBITDA | -8M | 232M | -3% |
Gain YTD | 47.741 | 18.620 | 256% |
P/E Ratio | 781.90 | 16.95 | 4,613% |
Revenue | 7.06B | 759M | 930% |
Total Cash | 5.01B | 289M | 1,733% |
Total Debt | 1.15B | 1.27B | 91% |
SHOP | SWI | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 28 | 80 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 81 Overvalued | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 51 | 100 | |
SMR RATING 1..100 | 88 | 86 | |
PRICE GROWTH RATING 1..100 | 36 | 48 | |
P/E GROWTH RATING 1..100 | 100 | 98 | |
SEASONALITY SCORE 1..100 | 50 | 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.
SWI's Valuation (62) in the Packaged Software industry is in the same range as SHOP (81) in the Information Technology Services industry. This means that SWI’s stock grew similarly to SHOP’s over the last 12 months.
SHOP's Profit vs Risk Rating (51) in the Information Technology Services industry is somewhat better than the same rating for SWI (100) in the Packaged Software industry. This means that SHOP’s stock grew somewhat faster than SWI’s over the last 12 months.
SWI's SMR Rating (86) in the Packaged Software industry is in the same range as SHOP (88) in the Information Technology Services industry. This means that SWI’s stock grew similarly to SHOP’s over the last 12 months.
SHOP's Price Growth Rating (36) in the Information Technology Services industry is in the same range as SWI (48) in the Packaged Software industry. This means that SHOP’s stock grew similarly to SWI’s over the last 12 months.
SWI's P/E Growth Rating (98) in the Packaged Software industry is in the same range as SHOP (100) in the Information Technology Services industry. This means that SWI’s stock grew similarly to SHOP’s over the last 12 months.
SHOP | SWI | |
---|---|---|
RSI ODDS (%) | 3 days ago74% | 3 days ago66% |
Stochastic ODDS (%) | 3 days ago76% | 3 days ago70% |
Momentum ODDS (%) | 3 days ago89% | 3 days ago73% |
MACD ODDS (%) | 3 days ago84% | 3 days ago65% |
TrendWeek ODDS (%) | 3 days ago84% | 3 days ago61% |
TrendMonth ODDS (%) | 3 days ago82% | 3 days ago67% |
Advances ODDS (%) | 3 days ago84% | 3 days ago68% |
Declines ODDS (%) | N/A | 5 days ago61% |
BollingerBands ODDS (%) | 3 days ago83% | 3 days ago69% |
Aroon ODDS (%) | 3 days ago89% | 3 days ago72% |
A.I.dvisor indicates that over the last year, SHOP has been loosely correlated with RPD. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if SHOP jumps, then RPD could also see price increases.
Ticker / NAME | Correlation To SHOP | 1D Price Change % | ||
---|---|---|---|---|
SHOP | 100% | +5.66% | ||
RPD - SHOP | 57% Loosely correlated | -0.22% | ||
ALIT - SHOP | 47% Loosely correlated | -0.47% | ||
IDCC - SHOP | 46% Loosely correlated | -2.45% | ||
DV - SHOP | 45% Loosely correlated | -0.34% | ||
HUBS - SHOP | 44% Loosely correlated | -0.17% | ||
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A.I.dvisor indicates that over the last year, SWI has been loosely correlated with BL. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if SWI jumps, then BL could also see price increases.
Ticker / NAME | Correlation To SWI | 1D Price Change % | ||
---|---|---|---|---|
SWI | 100% | +1.26% | ||
BL - SWI | 50% Loosely correlated | +2.03% | ||
AZPN - SWI | 48% Loosely correlated | -0.01% | ||
DT - SWI | 47% Loosely correlated | +0.34% | ||
CFLT - SWI | 45% Loosely correlated | +4.69% | ||
SHOP - SWI | 45% Loosely correlated | +5.66% | ||
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