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COIN vs WGS
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is COIN is a Hold and WGS is a Hold.
WGS | ||
|---|---|---|
OUTLOOK RATING 1..100 | 75 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 95 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 97 | |
PRICE GROWTH RATING 1..100 | 60 | |
P/E GROWTH RATING 1..100 | 83 | |
SEASONALITY SCORE 1..100 | 65 |
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.
| COIN | WGS | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 76% |
| Stochastic ODDS (%) | 1 day ago 78% | 1 day ago 78% |
| Momentum ODDS (%) | 1 day ago 87% | 1 day ago 83% |
| MACD ODDS (%) | 1 day ago 80% | 1 day ago 80% |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 89% |
| TrendMonth ODDS (%) | 1 day ago 83% | 1 day ago 90% |
| Advances ODDS (%) | 15 days ago 85% | 1 day ago 86% |
| Declines ODDS (%) | 7 days ago 85% | 6 days ago 85% |
| BollingerBands ODDS (%) | 1 day ago 77% | 1 day ago 82% |
| Aroon ODDS (%) | 1 day ago 82% | 1 day ago 88% |
Long-Term Analysis
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
COIN’s FA Score shows that 0 FA rating(s) are green while WGS’s FA Score has 0 green FA rating(s).
- COIN’s FA Score: 0 green, 5 red.
- WGS’s FA Score: 0 green, 5 red.
Short-Term Analysis
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.
COIN’s TA Score shows that 4 TA indicator(s) are bullish while WGS’s TA Score has 6 bullish TA indicator(s).
- COIN’s TA Score: 4 bullish, 4 bearish.
- WGS’s TA Score: 6 bullish, 5 bearish.
Price Growth
COIN (@Financial Publishing/Services) experienced а -1.86% price change this week, while WGS (@Medical Specialties) price change was -11.24% for the same time period.
The average weekly price growth across all stocks in the @Financial Publishing/Services industry was +1.87%. For the same industry, the average monthly price growth was -5.12%, and the average quarterly price growth was +4.02%.
The average weekly price growth across all stocks in the @Medical Specialties industry was +0.21%. For the same industry, the average monthly price growth was +5.94%, and the average quarterly price growth was +49.24%.
Reported Earning Dates
COIN is expected to report earnings on Oct 29, 2026.
WGS is expected to report earnings on Nov 03, 2026.
Industries' Descriptions
@Financial Publishing/Services (+1.87% weekly)The financial publishing /services sector includes companies that provide informational products and services that are of value to investors, financial/analytics professionals and other interested readers. The products include real-time stock quotes, financial news and analyses. Think S&P Global, Inc., Moody`s Corporation, Thomson-Reuters Corp and IHS Markit Ltd. Information is critical in making financial or investment decisions, and what makes this industry’s output relevant at all times, across various economic conditions.
@Medical Specialties (+0.21% weekly)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.
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COIN and
Correlation & Price change
A.I.dvisor indicates that over the last year, COIN has been closely correlated with AFRM. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if COIN jumps, then AFRM could also see price increases.
| Ticker / NAME | Correlation To COIN | 1D Price Change % | ||
|---|---|---|---|---|
| COIN | 100% | +2.85% | ||
| AFRM - COIN | 81% Closely correlated | +5.62% | ||
| MSTR - COIN | 81% Closely correlated | +2.76% | ||
| RIOT - COIN | 77% Closely correlated | -2.08% | ||
| U - COIN | 74% Closely correlated | +4.75% | ||
| HOOD - COIN | 73% Closely correlated | +1.22% | ||
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WGS and
Correlation & Price change
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% | +4.35% | ||
| COIN - WGS | 59% Loosely correlated | +2.85% | ||
| CLSK - WGS | 53% Loosely correlated | -2.04% | ||
| RIOT - WGS | 50% Loosely correlated | -2.08% | ||
| NTRA - WGS | 36% Loosely correlated | +3.73% | ||
| NEO - WGS | 36% Loosely correlated | +3.57% | ||
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