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).
EOLS’s FA Score shows that 0 FA rating(s) are green whileSGIOY’s FA Score has 1 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.
EOLS’s TA Score shows that 4 TA indicator(s) are bullish while SGIOY’s TA Score has 2 bullish TA indicator(s).
EOLS (@Pharmaceuticals: Other) experienced а -16.86% price change this week, while SGIOY (@Pharmaceuticals: Other) price change was -2.99% for the same time period.
The average weekly price growth across all stocks in the @Pharmaceuticals: Other industry was -4.99%. For the same industry, the average monthly price growth was -7.80%, and the average quarterly price growth was -7.77%.
EOLS is expected to report earnings on Feb 26, 2025.
SGIOY is expected to report earnings on Jan 31, 2025.
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.
EOLS | SGIOY | EOLS / SGIOY | |
Capitalization | 847M | 12.4B | 7% |
EBITDA | -41.81M | 242B | -0% |
Gain YTD | 12.821 | -13.198 | -97% |
P/E Ratio | N/A | 9.62 | - |
Revenue | 202M | 427B | 0% |
Total Cash | 62.8M | 563B | 0% |
Total Debt | 127M | 9.41B | 1% |
EOLS | SGIOY | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 57 | 65 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | 29 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 100 | 51 | |
PRICE GROWTH RATING 1..100 | 63 | 73 | |
P/E GROWTH RATING 1..100 | 100 | 83 | |
SEASONALITY SCORE 1..100 | n/a | 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.
SGIOY's Valuation (29) in the null industry is somewhat better than the same rating for EOLS (94) in the Pharmaceuticals Major industry. This means that SGIOY’s stock grew somewhat faster than EOLS’s over the last 12 months.
SGIOY's Profit vs Risk Rating (100) in the null industry is in the same range as EOLS (100) in the Pharmaceuticals Major industry. This means that SGIOY’s stock grew similarly to EOLS’s over the last 12 months.
SGIOY's SMR Rating (51) in the null industry is somewhat better than the same rating for EOLS (100) in the Pharmaceuticals Major industry. This means that SGIOY’s stock grew somewhat faster than EOLS’s over the last 12 months.
EOLS's Price Growth Rating (63) in the Pharmaceuticals Major industry is in the same range as SGIOY (73) in the null industry. This means that EOLS’s stock grew similarly to SGIOY’s over the last 12 months.
SGIOY's P/E Growth Rating (83) in the null industry is in the same range as EOLS (100) in the Pharmaceuticals Major industry. This means that SGIOY’s stock grew similarly to EOLS’s over the last 12 months.
EOLS | SGIOY | |
---|---|---|
RSI ODDS (%) | 2 days ago81% | 2 days ago60% |
Stochastic ODDS (%) | 2 days ago80% | 2 days ago57% |
Momentum ODDS (%) | 2 days ago88% | 2 days ago59% |
MACD ODDS (%) | N/A | 2 days ago63% |
TrendWeek ODDS (%) | 2 days ago83% | 2 days ago64% |
TrendMonth ODDS (%) | 2 days ago82% | 2 days ago71% |
Advances ODDS (%) | 10 days ago0% | N/A |
Declines ODDS (%) | 2 days ago80% | 3 days ago61% |
BollingerBands ODDS (%) | 2 days ago68% | 2 days ago73% |
Aroon ODDS (%) | 2 days ago76% | 2 days ago58% |
A.I.dvisor indicates that over the last year, EOLS has been loosely correlated with AGBIF. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if EOLS jumps, then AGBIF could also see price increases.
Ticker / NAME | Correlation To EOLS | 1D Price Change % | ||
---|---|---|---|---|
EOLS | 100% | -3.02% | ||
AGBIF - EOLS | 38% Loosely correlated | N/A | ||
AMPH - EOLS | 30% Poorly correlated | -0.92% | ||
BLMH - EOLS | 24% Poorly correlated | +22.73% | ||
TLRY - EOLS | 23% Poorly correlated | -4.17% | ||
LNTH - EOLS | 23% Poorly correlated | +1.35% | ||
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A.I.dvisor tells us that SGIOY and ANIP have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SGIOY and ANIP's prices will move in lockstep.
Ticker / NAME | Correlation To SGIOY | 1D Price Change % | ||
---|---|---|---|---|
SGIOY | 100% | +0.44% | ||
ANIP - SGIOY | 22% Poorly correlated | -1.54% | ||
EOLS - SGIOY | 21% Poorly correlated | -3.02% | ||
TAK - SGIOY | 20% Poorly correlated | +0.07% | ||
TKPHF - SGIOY | 9% Poorly correlated | -3.10% | ||
ROMJF - SGIOY | 8% Poorly correlated | +12.43% | ||
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