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).
APLM’s FA Score shows that 0 FA rating(s) are green whilePHAR’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.
APLM’s TA Score shows that 4 TA indicator(s) are bullish while PHAR’s TA Score has 5 bullish TA indicator(s).
APLM (@Biotechnology) experienced а -8.89% price change this week, while PHAR (@Biotechnology) price change was -20.13% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was -1.22%. For the same industry, the average monthly price growth was -8.12%, and the average quarterly price growth was +2790.29%.
PHAR is expected to report earnings on Nov 05, 2026.
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.
| APLM | PHAR | APLM / PHAR | |
| Capitalization | 37.9M | 716M | 5% |
| EBITDA | -56.38M | 38.9M | -145% |
| Gain YTD | -9.601 | -42.954 | 22% |
| P/E Ratio | N/A | 72.00 | - |
| Revenue | 0 | 366M | - |
| Total Cash | N/A | 158M | - |
| Total Debt | 4.72M | 113M | 4% |
| APLM | PHAR | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 47% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 63% | 3 days ago 88% |
| Momentum ODDS (%) | 3 days ago 70% | 3 days ago 78% |
| MACD ODDS (%) | 3 days ago 52% | 3 days ago 87% |
| TrendWeek ODDS (%) | 3 days ago 82% | 3 days ago 80% |
| TrendMonth ODDS (%) | 3 days ago 89% | 3 days ago 77% |
| Advances ODDS (%) | 18 days ago 78% | 6 days ago 72% |
| Declines ODDS (%) | 3 days ago 90% | 3 days ago 78% |
| BollingerBands ODDS (%) | 3 days ago 71% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 36% | 3 days ago 69% |
A.I.dvisor indicates that over the last year, APLM has been loosely correlated with SNTI. These tickers have moved in lockstep 47% of the time. This A.I.-generated data suggests there is some statistical probability that if APLM jumps, then SNTI could also see price increases.
| Ticker / NAME | Correlation To APLM | 1D Price Change % | ||
|---|---|---|---|---|
| APLM | 100% | -2.00% | ||
| SNTI - APLM | 47% Loosely correlated | -5.52% | ||
| HCWB - APLM | 45% Loosely correlated | +1.59% | ||
| PRAX - APLM | 39% Loosely correlated | +0.03% | ||
| MGX - APLM | 37% Loosely correlated | -2.46% | ||
| IPHA - APLM | 36% Loosely correlated | +0.57% | ||
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A.I.dvisor indicates that over the last year, PHAR has been loosely correlated with ENGN. These tickers have moved in lockstep 39% of the time. This A.I.-generated data suggests there is some statistical probability that if PHAR jumps, then ENGN could also see price increases.
| Ticker / NAME | Correlation To PHAR | 1D Price Change % | ||
|---|---|---|---|---|
| PHAR | 100% | -6.32% | ||
| ENGN - PHAR | 39% Loosely correlated | +1.70% | ||
| TRDA - PHAR | 37% Loosely correlated | +0.30% | ||
| LKFT - PHAR | 33% Poorly correlated | -1.56% | ||
| APLM - PHAR | 31% Poorly correlated | -2.00% | ||
| BCYC - PHAR | 30% Poorly correlated | -3.74% | ||
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