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).
ALPS’s FA Score shows that 1 FA rating(s) are green whileSGMT’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.
ALPS’s TA Score shows that 4 TA indicator(s) are bullish while SGMT’s TA Score has 4 bullish TA indicator(s).
ALPS (@Biotechnology) experienced а -14.09% price change this week, while SGMT (@Biotechnology) price change was -7.62% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was -3.21%. For the same industry, the average monthly price growth was +7.25%, and the average quarterly price growth was +1806.27%.
SGMT is expected to report earnings on Aug 19, 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.
| ALPS | SGMT | ALPS / SGMT | |
| Capitalization | 84.7M | 442M | 19% |
| EBITDA | N/A | -48.74M | - |
| Gain YTD | -42.363 | 20.777 | -204% |
| P/E Ratio | N/A | N/A | - |
| Revenue | N/A | 0 | - |
| Total Cash | N/A | 105M | - |
| Total Debt | N/A | 39K | - |
| ALPS | SGMT | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 44% | 1 day ago 88% |
| Stochastic ODDS (%) | 1 day ago 36% | 1 day ago 83% |
| Momentum ODDS (%) | 1 day ago 21% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 15% | 1 day ago 82% |
| TrendWeek ODDS (%) | 1 day ago 34% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 36% | 1 day ago 86% |
| Advances ODDS (%) | 12 days ago 53% | 22 days ago 84% |
| Declines ODDS (%) | 1 day ago 70% | 5 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 46% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 61% | 1 day ago 88% |
| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| USPVX | 36.13 | 0.09 | +0.25% |
| Union Street Partners Value A | |||
| AFDAX | 51.58 | N/A | N/A |
| American Century Large Cap Equity A | |||
| JGVRX | 45.63 | N/A | N/A |
| JPMorgan Growth Advantage R5 | |||
| PXGAX | 28.45 | -0.20 | -0.70% |
| Impax US Sustainable Economy A | |||
| PAXLX | 11.14 | -0.10 | -0.89% |
| Impax Large Cap Fund Individual Investor | |||
A.I.dvisor tells us that ALPS and NUVL have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ALPS and NUVL's prices will move in lockstep.
| Ticker / NAME | Correlation To ALPS | 1D Price Change % | ||
|---|---|---|---|---|
| ALPS | 100% | -9.11% | ||
| NUVL - ALPS | 21% Poorly correlated | +0.03% | ||
| ALNY - ALPS | 17% Poorly correlated | -3.58% | ||
| APLM - ALPS | 12% Poorly correlated | -24.93% | ||
| SGMT - ALPS | 9% Poorly correlated | -2.99% | ||
| GDTC - ALPS | 8% Poorly correlated | -8.65% | ||
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A.I.dvisor indicates that over the last year, SGMT has been loosely correlated with VIR. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if SGMT jumps, then VIR could also see price increases.
| Ticker / NAME | Correlation To SGMT | 1D Price Change % | ||
|---|---|---|---|---|
| SGMT | 100% | -2.99% | ||
| VIR - SGMT | 41% Loosely correlated | -2.41% | ||
| EDIT - SGMT | 38% Loosely correlated | -3.07% | ||
| INBX - SGMT | 37% Loosely correlated | -0.91% | ||
| GOSS - SGMT | 37% Loosely correlated | -15.09% | ||
| VKTX - SGMT | 36% Loosely correlated | -1.90% | ||
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