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).
SNOW’s FA Score shows that 0 FA rating(s) are green whileTMSNY’s FA Score has 1 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.
SNOW’s TA Score shows that 4 TA indicator(s) are bullish.
SNOW (@Packaged Software) experienced а +4.64% price change this week, while TMSNY (@Packaged Software) price change was -1.92% 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%.
SNOW is expected to report earnings on Feb 26, 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.
SNOW | TMSNY | SNOW / TMSNY | |
Capitalization | 53.6B | 6.18B | 868% |
EBITDA | -974.87M | 311M | -313% |
Gain YTD | -34.307 | -24.063 | 143% |
P/E Ratio | N/A | 52.36 | - |
Revenue | 2.81B | 955M | 294% |
Total Cash | 3.85B | 112M | 3,434% |
Total Debt | 288M | 841M | 34% |
SNOW | TMSNY | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 24 | 58 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 67 Overvalued | 36 Fair valued | |
PROFIT vs RISK RATING 1..100 | 62 | 100 | |
SMR RATING 1..100 | 93 | 46 | |
PRICE GROWTH RATING 1..100 | 61 | 53 | |
P/E GROWTH RATING 1..100 | 100 | 79 | |
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.
TMSNY's Valuation (36) in the null industry is in the same range as SNOW (67) in the Other Consumer Services industry. This means that TMSNY’s stock grew similarly to SNOW’s over the last 12 months.
SNOW's Profit vs Risk Rating (62) in the Other Consumer Services industry is somewhat better than the same rating for TMSNY (100) in the null industry. This means that SNOW’s stock grew somewhat faster than TMSNY’s over the last 12 months.
TMSNY's SMR Rating (46) in the null industry is somewhat better than the same rating for SNOW (93) in the Other Consumer Services industry. This means that TMSNY’s stock grew somewhat faster than SNOW’s over the last 12 months.
TMSNY's Price Growth Rating (53) in the null industry is in the same range as SNOW (61) in the Other Consumer Services industry. This means that TMSNY’s stock grew similarly to SNOW’s over the last 12 months.
TMSNY's P/E Growth Rating (79) in the null industry is in the same range as SNOW (100) in the Other Consumer Services industry. This means that TMSNY’s stock grew similarly to SNOW’s over the last 12 months.
SNOW | |
---|---|
RSI ODDS (%) | 3 days ago86% |
Stochastic ODDS (%) | 3 days ago86% |
Momentum ODDS (%) | 3 days ago84% |
MACD ODDS (%) | 3 days ago82% |
TrendWeek ODDS (%) | 3 days ago78% |
TrendMonth ODDS (%) | 3 days ago76% |
Advances ODDS (%) | 3 days ago76% |
Declines ODDS (%) | N/A |
BollingerBands ODDS (%) | 3 days ago90% |
Aroon ODDS (%) | N/A |
A.I.dvisor indicates that over the last year, SNOW has been loosely correlated with MDB. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if SNOW jumps, then MDB could also see price increases.
Ticker / NAME | Correlation To SNOW | 1D Price Change % | ||
---|---|---|---|---|
SNOW | 100% | +4.20% | ||
MDB - SNOW | 53% Loosely correlated | +3.17% | ||
DDOG - SNOW | 51% Loosely correlated | +4.08% | ||
DAVA - SNOW | 47% Loosely correlated | -0.27% | ||
PTC - SNOW | 45% Loosely correlated | +0.28% | ||
NET - SNOW | 45% Loosely correlated | +3.57% | ||
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A.I.dvisor indicates that over the last year, TMSNY has been loosely correlated with DAVA. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if TMSNY jumps, then DAVA could also see price increases.
Ticker / NAME | Correlation To TMSNY | 1D Price Change % | ||
---|---|---|---|---|
TMSNY | 100% | -2.30% | ||
DAVA - TMSNY | 56% Loosely correlated | -0.27% | ||
SNOW - TMSNY | 41% Loosely correlated | +4.20% | ||
LPSN - TMSNY | 40% Loosely correlated | +1.71% | ||
EVTC - TMSNY | 37% Loosely correlated | -1.93% | ||
EB - TMSNY | 36% Loosely correlated | -1.37% | ||
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