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).
SBFM’s FA Score shows that 0 FA rating(s) are green whileSIGA’s FA Score has 2 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.
SBFM’s TA Score shows that 3 TA indicator(s) are bullish while SIGA’s TA Score has 4 bullish TA indicator(s).
SBFM (@Pharmaceuticals: Other) experienced а -5.51% price change this week, while SIGA (@Pharmaceuticals: Other) price change was -17.43% for the same time period.
The average weekly price growth across all stocks in the @Pharmaceuticals: Other industry was +56.20%. For the same industry, the average monthly price growth was -6.16%, and the average quarterly price growth was -6.95%.
SBFM is expected to report earnings on Jul 31, 2024.
SIGA is expected to report earnings on Nov 07, 2024.
Pharmaceuticals (Other) comprise companies that are involved in the discovery, development or manufacturing of therapeutic and preventative medicines. They often collaborate with or acquire other pharmaceutical/healthcare firms. Examples of companies in this segment include Bausch Health Companies Inc., Icon Plc and Perrigo Company Plc.
SBFM | SIGA | SBFM / SIGA | |
Capitalization | 6.02M | 609M | 1% |
EBITDA | -26.1M | 84.2M | -31% |
Gain YTD | -99.527 | 20.772 | -479% |
P/E Ratio | 0.88 | 9.24 | 9% |
Revenue | 20.4M | 140M | 15% |
Total Cash | 18.8M | 150M | 13% |
Total Debt | 674K | 564K | 120% |
SBFM | SIGA | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 57 | 56 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 36 Fair valued | 1 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 86 | |
SMR RATING 1..100 | 98 | 26 | |
PRICE GROWTH RATING 1..100 | 94 | 60 | |
P/E GROWTH RATING 1..100 | 88 | 73 | |
SEASONALITY SCORE 1..100 | 50 | 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.
SIGA's Valuation (1) in the Pharmaceuticals Other industry is somewhat better than the same rating for SBFM (36) in the null industry. This means that SIGA’s stock grew somewhat faster than SBFM’s over the last 12 months.
SIGA's Profit vs Risk Rating (86) in the Pharmaceuticals Other industry is in the same range as SBFM (100) in the null industry. This means that SIGA’s stock grew similarly to SBFM’s over the last 12 months.
SIGA's SMR Rating (26) in the Pharmaceuticals Other industry is significantly better than the same rating for SBFM (98) in the null industry. This means that SIGA’s stock grew significantly faster than SBFM’s over the last 12 months.
SIGA's Price Growth Rating (60) in the Pharmaceuticals Other industry is somewhat better than the same rating for SBFM (94) in the null industry. This means that SIGA’s stock grew somewhat faster than SBFM’s over the last 12 months.
SIGA's P/E Growth Rating (73) in the Pharmaceuticals Other industry is in the same range as SBFM (88) in the null industry. This means that SIGA’s stock grew similarly to SBFM’s over the last 12 months.
SBFM | SIGA | |
---|---|---|
RSI ODDS (%) | 1 day ago80% | N/A |
Stochastic ODDS (%) | 1 day ago80% | 1 day ago77% |
Momentum ODDS (%) | 1 day ago90% | 1 day ago75% |
MACD ODDS (%) | 1 day ago90% | 1 day ago77% |
TrendWeek ODDS (%) | 1 day ago90% | 1 day ago77% |
TrendMonth ODDS (%) | 1 day ago90% | 1 day ago75% |
Advances ODDS (%) | N/A | 10 days ago0% |
Declines ODDS (%) | 5 days ago90% | 1 day ago77% |
BollingerBands ODDS (%) | 1 day ago84% | 1 day ago76% |
Aroon ODDS (%) | 1 day ago90% | 1 day ago72% |
A.I.dvisor indicates that over the last year, SBFM has been loosely correlated with HNSPF. These tickers have moved in lockstep 46% of the time. This A.I.-generated data suggests there is some statistical probability that if SBFM jumps, then HNSPF could also see price increases.
Ticker / NAME | Correlation To SBFM | 1D Price Change % | ||
---|---|---|---|---|
SBFM | 100% | +0.39% | ||
HNSPF - SBFM | 46% Loosely correlated | N/A | ||
CHSYF - SBFM | 30% Poorly correlated | N/A | ||
EVOK - SBFM | 25% Poorly correlated | +2.48% | ||
BGPPF - SBFM | 24% Poorly correlated | N/A | ||
SIGA - SBFM | 23% Poorly correlated | -4.69% | ||
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A.I.dvisor tells us that SIGA and CURR have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SIGA and CURR's prices will move in lockstep.
Ticker / NAME | Correlation To SIGA | 1D Price Change % | ||
---|---|---|---|---|
SIGA | 100% | -4.69% | ||
CURR - SIGA | 26% Poorly correlated | +5.21% | ||
AMRX - SIGA | 24% Poorly correlated | -0.33% | ||
SUPN - SIGA | 23% Poorly correlated | -4.21% | ||
SBFM - SIGA | 23% Poorly correlated | +0.39% | ||
EBS - SIGA | 23% Poorly correlated | -7.02% | ||
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