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).
WGS’s FA Score shows that 1 FA rating(s) are green whileYHEKF’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.
WGS’s TA Score shows that 4 TA indicator(s) are bullish while YHEKF’s TA Score has 5 bullish TA indicator(s).
WGS (@Medical Specialties) experienced а +9.15% price change this week, while YHEKF (@Computer Communications) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Medical Specialties industry was +0.80%. For the same industry, the average monthly price growth was +1.24%, and the average quarterly price growth was -1.32%.
The average weekly price growth across all stocks in the @Computer Communications industry was +2.41%. For the same industry, the average monthly price growth was -0.63%, and the average quarterly price growth was +23.68%.
WGS is expected to report earnings on Nov 17, 2025.
Medical specialties are companies that make equipment used by the health care industry. Equipment manufactured and distributed by these companies include dialysis machines, blood analysis equipment, surgical equipment, dental instruments, and diagnostic tools, among other items. Large companies typically aim to produce and distribute high-quality products across a broad market spectrum. Smaller firms are more likely to specialize in a particular market segment. Due to the industry’s close association with medical treatments, they typically have low sensitivity to macroeconomic fluctuations. Within this industry, Abbott Laboratories, Medtronic Plc and Thermo Fisher Scientific Inc. are some of the companies with multi-billion market capitalizations in the U.S. stock markets.
@Computer Communications (+2.41% 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.
WGS | YHEKF | WGS / YHEKF | |
Capitalization | 3.34B | 648M | 516% |
EBITDA | 54.3M | N/A | - |
Gain YTD | 51.457 | 1.911 | 2,693% |
P/E Ratio | 1455.13 | 52.23 | 2,786% |
Revenue | 362M | N/A | - |
Total Cash | 135M | N/A | - |
Total Debt | 114M | N/A | - |
WGS | YHEKF | |
---|---|---|
RSI ODDS (%) | 1 day ago79% | 1 day ago60% |
Stochastic ODDS (%) | 1 day ago84% | 1 day ago59% |
Momentum ODDS (%) | 1 day ago77% | 1 day ago59% |
MACD ODDS (%) | 1 day ago88% | 1 day ago50% |
TrendWeek ODDS (%) | 1 day ago83% | 1 day ago40% |
TrendMonth ODDS (%) | 1 day ago88% | 1 day ago38% |
Advances ODDS (%) | 1 day ago84% | N/A |
Declines ODDS (%) | 8 days ago87% | N/A |
BollingerBands ODDS (%) | 1 day ago78% | 1 day ago64% |
Aroon ODDS (%) | N/A | 1 day ago50% |
A.I.dvisor indicates that over the last year, WGS has been loosely correlated with COIN. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if WGS jumps, then COIN could also see price increases.
Ticker / NAME | Correlation To WGS | 1D Price Change % | ||
---|---|---|---|---|
WGS | 100% | +5.31% | ||
COIN - WGS | 59% Loosely correlated | +0.94% | ||
CLSK - WGS | 53% Loosely correlated | +0.51% | ||
RIOT - WGS | 50% Loosely correlated | +2.97% | ||
COMP - WGS | 35% Loosely correlated | +2.29% | ||
OPK - WGS | 29% Poorly correlated | +1.54% | ||
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A.I.dvisor tells us that YHEKF and KGDEY have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that YHEKF and KGDEY's prices will move in lockstep.
Ticker / NAME | Correlation To YHEKF | 1D Price Change % | ||
---|---|---|---|---|
YHEKF | 100% | N/A | ||
KGDEY - YHEKF | 23% Poorly correlated | N/A | ||
IPNFF - YHEKF | 11% Poorly correlated | -4.44% | ||
QUAN - YHEKF | 10% Poorly correlated | -20.53% | ||
WGS - YHEKF | 3% Poorly correlated | +5.31% | ||
VS - YHEKF | 2% Poorly correlated | -2.26% | ||
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