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NWPHF vs SGMT
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 NWPHF is a Hold and SGMT is a StrongBuy.
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
NWPHF’s FA Score shows that 0 FA rating(s) are green whileSGMT’s FA Score has 0 green FA rating(s).
- NWPHF’s FA Score: 0 green, 5 red.
- SGMT’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.
SGMT’s TA Score shows that 6 TA indicator(s) are bullish.
- SGMT’s TA Score: 6 bullish, 3 bearish.
Price Growth
NWPHF (@Biotechnology) experienced а 0.00% price change this week, while SGMT (@Biotechnology) price change was +5.59% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was +4.11%. For the same industry, the average monthly price growth was +10.01%, and the average quarterly price growth was -2.16%.
Industries' Descriptions
@Biotechnology (+4.11% weekly)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.
| NWPHF | SGMT | NWPHF / SGMT | |
| Capitalization | 178M | 154M | 116% |
| EBITDA | N/A | -54.45M | - |
| Gain YTD | 0.000 | -24.444 | - |
| P/E Ratio | N/A | N/A | - |
| Revenue | N/A | 0 | - |
| Total Cash | N/A | 151M | - |
| Total Debt | N/A | 78K | - |
NWPHF | ||
|---|---|---|
OUTLOOK RATING 1..100 | 43 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 67 Overvalued | |
PROFIT vs RISK RATING 1..100 | 74 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 73 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | n/a |
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.
| SGMT | |
|---|---|
| RSI ODDS (%) | 12 days ago 89% |
| Stochastic ODDS (%) | 12 days ago 90% |
| Momentum ODDS (%) | 12 days ago 79% |
| MACD ODDS (%) | 12 days ago 80% |
| TrendWeek ODDS (%) | 12 days ago 89% |
| TrendMonth ODDS (%) | 12 days ago 85% |
| Advances ODDS (%) | 28 days ago 85% |
| Declines ODDS (%) | 26 days ago 90% |
| BollingerBands ODDS (%) | N/A |
| Aroon ODDS (%) | 12 days ago 82% |
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NWPHF and
Correlation & Price change
A.I.dvisor indicates that over the last year, NWPHF has been loosely correlated with NOXOF. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if NWPHF jumps, then NOXOF could also see price increases.
| Ticker / NAME | Correlation To NWPHF | 1D Price Change % | ||
|---|---|---|---|---|
| NWPHF | 100% | N/A | ||
| NOXOF - NWPHF | 55% Loosely correlated | N/A | ||
| INSM - NWPHF | 49% Loosely correlated | -2.44% | ||
| SGMT - NWPHF | 35% Loosely correlated | +1.19% | ||
| MMIRF - NWPHF | 30% Poorly correlated | +48.31% | ||
| NURPF - NWPHF | 5% Poorly correlated | N/A | ||
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SGMT and
Correlation & Price change
A.I.dvisor indicates that over the last year, SGMT has been loosely correlated with VRDN. These tickers have moved in lockstep 43% of the time. This A.I.-generated data suggests there is some statistical probability that if SGMT jumps, then VRDN could also see price increases.
| Ticker / NAME | Correlation To SGMT | 1D Price Change % | ||
|---|---|---|---|---|
| SGMT | 100% | +1.19% | ||
| VRDN - SGMT | 43% Loosely correlated | -3.09% | ||
| CCCC - SGMT | 42% Loosely correlated | -3.08% | ||
| TERN - SGMT | 41% Loosely correlated | +1.66% | ||
| CRBU - SGMT | 40% Loosely correlated | +2.75% | ||
| TRDA - SGMT | 39% Loosely correlated | +0.91% | ||
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