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).
GOSS’s FA Score shows that 0 FA rating(s) are green whileOCX’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.
GOSS’s TA Score shows that 4 TA indicator(s) are bullish.
GOSS (@Biotechnology) experienced а -15.79% price change this week, while OCX (@Medical Specialties) price change was -8.74% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was -8.58%. For the same industry, the average monthly price growth was -5.90%, and the average quarterly price growth was -0.16%.
The average weekly price growth across all stocks in the @Medical Specialties industry was -4.23%. For the same industry, the average monthly price growth was -2.87%, and the average quarterly price growth was -6.14%.
GOSS is expected to report earnings on Mar 21, 2025.
OCX is expected to report earnings on Nov 09, 2023.
Biotechnology involves genetic or protein engineering to produce medicines/therapies for treating and preventing ailments. The industry also provides crucial ingredients for diagnostics. This multi-billion-dollar industry is heavily focused on research and development, as companies attempt to continually come up with cutting-edge solutions for health. New discoveries for the treatment of diseases provide opportunities for growth for a company in this industry. Discoveries, however, must pass the regulatory approval from the U.S. Food and Drug Administration (FDA) before they can make it to markets. Amgen Inc., Gilead Sciences, Inc. and Celgene Corporation are examples of companies in this industry.
@Medical Specialties (-4.23% 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.
GOSS | OCX | GOSS / OCX | |
Capitalization | 168M | 24.2M | 694% |
EBITDA | -59.72M | -10.44M | 572% |
Gain YTD | -18.893 | 4.400 | -429% |
P/E Ratio | N/A | 4.56 | - |
Revenue | 95.8M | 1.46M | 6,548% |
Total Cash | 354M | 14.2M | 2,493% |
Total Debt | 199M | 3.07M | 6,474% |
OCX | ||
---|---|---|
OUTLOOK RATING 1..100 | 3 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 53 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 97 | |
PRICE GROWTH RATING 1..100 | 82 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 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.
GOSS | |
---|---|
RSI ODDS (%) | 3 days ago77% |
Stochastic ODDS (%) | 3 days ago85% |
Momentum ODDS (%) | 5 days ago90% |
MACD ODDS (%) | 7 days ago84% |
TrendWeek ODDS (%) | 3 days ago88% |
TrendMonth ODDS (%) | 3 days ago87% |
Advances ODDS (%) | 24 days ago83% |
Declines ODDS (%) | 3 days ago87% |
BollingerBands ODDS (%) | 3 days ago83% |
Aroon ODDS (%) | 3 days ago87% |
A.I.dvisor indicates that over the last year, GOSS has been loosely correlated with MEIP. These tickers have moved in lockstep 46% of the time. This A.I.-generated data suggests there is some statistical probability that if GOSS jumps, then MEIP could also see price increases.
Ticker / NAME | Correlation To GOSS | 1D Price Change % | ||
---|---|---|---|---|
GOSS | 100% | -3.88% | ||
MEIP - GOSS | 46% Loosely correlated | -2.99% | ||
CGEM - GOSS | 45% Loosely correlated | -9.41% | ||
SYRE - GOSS | 41% Loosely correlated | -6.62% | ||
APVO - GOSS | 41% Loosely correlated | -12.45% | ||
VIR - GOSS | 41% Loosely correlated | -7.29% | ||
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A.I.dvisor tells us that OCX and FATE have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that OCX and FATE's prices will move in lockstep.
Ticker / NAME | Correlation To OCX | 1D Price Change % | ||
---|---|---|---|---|
OCX | 100% | -6.79% | ||
FATE - OCX | 31% Poorly correlated | -2.88% | ||
FONR - OCX | 31% Poorly correlated | -2.97% | ||
GOSS - OCX | 29% Poorly correlated | -3.88% | ||
BMRN - OCX | 29% Poorly correlated | -3.32% | ||
CRIS - OCX | 28% Poorly correlated | -0.75% | ||
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