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).
INFA’s FA Score shows that 0 FA rating(s) are green whileIQAIF’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.
INFA’s TA Score shows that 3 TA indicator(s) are bullish.
INFA (@Computer Communications) experienced а +0.20% price change this week, while IQAIF (@Services to the Health Industry) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Computer Communications industry was +0.40%. For the same industry, the average monthly price growth was +21.05%, and the average quarterly price growth was +56.00%.
The average weekly price growth across all stocks in the @Services to the Health Industry industry was +1.49%. For the same industry, the average monthly price growth was -1.17%, and the average quarterly price growth was -0.83%.
INFA is expected to report earnings on Oct 29, 2025.
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.
@Services to the Health Industry (+1.49% weekly)This industry comprises companies that provide services, such as equipment sterilization, research, physician management systems and consulting, that support the healthcare/medical industry. Examples of such companies include Laboratory Corporation of America Holdings, which operates one of the largest clinical laboratory networks in the world; Quest Diagnostics Inc., which is a clinical laboratory; and Syneos Health, which is a major clinical research organization.
INFA | IQAIF | INFA / IQAIF | |
Capitalization | 7.52B | 2.16M | 348,540% |
EBITDA | 341M | N/A | - |
Gain YTD | -4.821 | 0.000 | - |
P/E Ratio | 624.33 | N/A | - |
Revenue | 1.66B | N/A | - |
Total Cash | 1.25B | N/A | - |
Total Debt | 1.86B | N/A | - |
INFA | IQAIF | |
---|---|---|
RSI ODDS (%) | 4 days ago54% | N/A |
Stochastic ODDS (%) | 4 days ago63% | N/A |
Momentum ODDS (%) | 4 days ago69% | N/A |
MACD ODDS (%) | N/A | N/A |
TrendWeek ODDS (%) | 4 days ago71% | 4 days ago9% |
TrendMonth ODDS (%) | 4 days ago72% | 4 days ago7% |
Advances ODDS (%) | 12 days ago73% | N/A |
Declines ODDS (%) | 4 days ago75% | N/A |
BollingerBands ODDS (%) | 6 days ago69% | N/A |
Aroon ODDS (%) | 4 days ago60% | N/A |
A.I.dvisor indicates that over the last year, INFA has been loosely correlated with GDDY. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if INFA jumps, then GDDY could also see price increases.
Ticker / NAME | Correlation To INFA | 1D Price Change % | ||
---|---|---|---|---|
INFA | 100% | -0.16% | ||
GDDY - INFA | 53% Loosely correlated | -11.25% | ||
PDFS - INFA | 48% Loosely correlated | -11.09% | ||
TWLO - INFA | 48% Loosely correlated | -19.38% | ||
SNOW - INFA | 48% Loosely correlated | -7.11% | ||
DDOG - INFA | 46% Loosely correlated | -4.01% | ||
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A.I.dvisor indicates that over the last year, IQAIF has been loosely correlated with AWRE. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if IQAIF jumps, then AWRE could also see price increases.
Ticker / NAME | Correlation To IQAIF | 1D Price Change % | ||
---|---|---|---|---|
IQAIF | 100% | N/A | ||
AWRE - IQAIF | 42% Loosely correlated | +4.65% | ||
TYL - IQAIF | 41% Loosely correlated | -0.97% | ||
ACIW - IQAIF | 36% Loosely correlated | +1.85% | ||
INFA - IQAIF | 34% Loosely correlated | -0.16% | ||
SRAD - IQAIF | 32% Poorly correlated | -1.52% | ||
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