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).
DRUG’s FA Score shows that 0 FA rating(s) are green whileIVA’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.
DRUG’s TA Score shows that 6 TA indicator(s) are bullish while IVA’s TA Score has 3 bullish TA indicator(s).
DRUG (@Biotechnology) experienced а -4.01% price change this week, while IVA (@Biotechnology) price change was -11.16% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was +4.17%. For the same industry, the average monthly price growth was +6.77%, and the average quarterly price growth was -1.67%.
DRUG is expected to report earnings on May 15, 2025.
IVA is expected to report earnings on Sep 25, 2025.
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.
DRUG | IVA | DRUG / IVA | |
Capitalization | 226M | 445M | 51% |
EBITDA | -2.67M | N/A | - |
Gain YTD | -15.519 | 45.327 | -34% |
P/E Ratio | N/A | N/A | - |
Revenue | 0 | N/A | - |
Total Cash | 57.9M | N/A | - |
Total Debt | 183K | N/A | - |
DRUG | IVA | |
---|---|---|
RSI ODDS (%) | N/A | 1 day ago88% |
Stochastic ODDS (%) | 1 day ago90% | 1 day ago79% |
Momentum ODDS (%) | 1 day ago85% | 1 day ago82% |
MACD ODDS (%) | 1 day ago81% | 1 day ago82% |
TrendWeek ODDS (%) | 1 day ago88% | 1 day ago82% |
TrendMonth ODDS (%) | 1 day ago89% | 1 day ago80% |
Advances ODDS (%) | 7 days ago85% | 3 days ago74% |
Declines ODDS (%) | 9 days ago88% | 7 days ago83% |
BollingerBands ODDS (%) | 1 day ago90% | 1 day ago83% |
Aroon ODDS (%) | 1 day ago85% | 1 day ago83% |
A.I.dvisor indicates that over the last year, DRUG has been loosely correlated with PHMMF. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if DRUG jumps, then PHMMF could also see price increases.
Ticker / NAME | Correlation To DRUG | 1D Price Change % | ||
---|---|---|---|---|
DRUG | 100% | -6.25% | ||
PHMMF - DRUG | 42% Loosely correlated | N/A | ||
IVA - DRUG | 39% Loosely correlated | -5.72% | ||
PSTV - DRUG | 33% Poorly correlated | +6.83% | ||
MNMD - DRUG | 31% Poorly correlated | -8.68% | ||
RANI - DRUG | 31% Poorly correlated | -5.46% | ||
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A.I.dvisor indicates that over the last year, IVA has been loosely correlated with DRUG. These tickers have moved in lockstep 39% of the time. This A.I.-generated data suggests there is some statistical probability that if IVA jumps, then DRUG could also see price increases.
Ticker / NAME | Correlation To IVA | 1D Price Change % | ||
---|---|---|---|---|
IVA | 100% | -5.72% | ||
DRUG - IVA | 39% Loosely correlated | -6.25% | ||
TVGN - IVA | 36% Loosely correlated | +1.72% | ||
IVF - IVA | 30% Poorly correlated | -10.32% | ||
OCGN - IVA | 24% Poorly correlated | +2.47% | ||
IMMP - IVA | 23% Poorly correlated | -3.48% | ||
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