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).
XTRAF’s FA Score shows that 0 FA rating(s) are green whileXYZ’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.
XTRAF’s TA Score shows that 5 TA indicator(s) are bullish while XYZ’s TA Score has 4 bullish TA indicator(s).
XTRAF (@Packaged Software) experienced а +8.36% price change this week, while XYZ (@Computer Communications) price change was +3.28% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +0.47%. For the same industry, the average monthly price growth was +7.13%, and the average quarterly price growth was +15.47%.
The average weekly price growth across all stocks in the @Computer Communications industry was +2.22%. For the same industry, the average monthly price growth was +0.60%, and the average quarterly price growth was +19.51%.
XYZ is expected to report earnings on Oct 30, 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.
@Computer Communications (+2.22% 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.
XTRAF | XYZ | XTRAF / XYZ | |
Capitalization | 92.1M | 46.2B | 0% |
EBITDA | -8.26M | 1.88B | -0% |
Gain YTD | 1.333 | -10.813 | -12% |
P/E Ratio | N/A | 16.20 | - |
Revenue | 16.1M | 23.9B | 0% |
Total Cash | 1.92M | 12.8B | 0% |
Total Debt | 1.08M | 6.05B | 0% |
XTRAF | XYZ | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 20 | 85 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 70 Overvalued | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 98 | 60 | |
PRICE GROWTH RATING 1..100 | 39 | 44 | |
P/E GROWTH RATING 1..100 | 100 | 98 | |
SEASONALITY SCORE 1..100 | 50 | 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.
XYZ's Valuation (62) in the Information Technology Services industry is in the same range as XTRAF (70) in the null industry. This means that XYZ’s stock grew similarly to XTRAF’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 XTRAF (100) in the null industry. This means that XYZ’s stock grew similarly to XTRAF’s over the last 12 months.
XYZ's SMR Rating (60) in the Information Technology Services industry is somewhat better than the same rating for XTRAF (98) in the null industry. This means that XYZ’s stock grew somewhat faster than XTRAF’s over the last 12 months.
XTRAF's Price Growth Rating (39) in the null industry is in the same range as XYZ (44) in the Information Technology Services industry. This means that XTRAF’s stock grew similarly to XYZ’s over the last 12 months.
XYZ's P/E Growth Rating (98) in the Information Technology Services industry is in the same range as XTRAF (100) in the null industry. This means that XYZ’s stock grew similarly to XTRAF’s over the last 12 months.
XTRAF | XYZ | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago73% |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago73% |
Momentum ODDS (%) | 2 days ago84% | 2 days ago76% |
MACD ODDS (%) | 6 days ago84% | 2 days ago83% |
TrendWeek ODDS (%) | 2 days ago82% | 2 days ago77% |
TrendMonth ODDS (%) | 2 days ago77% | 2 days ago81% |
Advances ODDS (%) | 3 days ago82% | 4 days ago77% |
Declines ODDS (%) | 6 days ago90% | 2 days ago81% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago83% |
Aroon ODDS (%) | 2 days ago90% | 2 days ago80% |
A.I.dvisor tells us that XTRAF and PRCH have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that XTRAF and PRCH's prices will move in lockstep.
Ticker / NAME | Correlation To XTRAF | 1D Price Change % | ||
---|---|---|---|---|
XTRAF | 100% | -1.12% | ||
PRCH - XTRAF | 24% Poorly correlated | -0.52% | ||
GEHC - XTRAF | 21% Poorly correlated | -0.35% | ||
SAP - XTRAF | 20% Poorly correlated | -0.38% | ||
ADYEY - XTRAF | 20% Poorly correlated | +0.18% | ||
XYZ - XTRAF | 20% Poorly correlated | -0.32% | ||
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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% | -0.32% | ||
COIN - XYZ | 72% Closely correlated | -2.26% | ||
CLSK - XYZ | 67% Closely correlated | -2.01% | ||
RIOT - XYZ | 62% Loosely correlated | -7.51% | ||
DBX - XYZ | 58% Loosely correlated | +0.32% | ||
SHOP - XYZ | 55% Loosely correlated | -1.94% | ||
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