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).
COEP’s FA Score shows that 1 FA rating(s) are green whileLOGC’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.
COEP’s TA Score shows that 5 TA indicator(s) are bullish while LOGC’s TA Score has 5 bullish TA indicator(s).
COEP (@Biotechnology) experienced а -2.21% price change this week, while LOGC (@Internet Retail) price change was +11.20% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was +2.38%. For the same industry, the average monthly price growth was -4.87%, and the average quarterly price growth was +4.35%.
The average weekly price growth across all stocks in the @Internet Retail industry was +2.08%. For the same industry, the average monthly price growth was -1.30%, and the average quarterly price growth was +0.34%.
COEP is expected to report earnings on Mar 29, 2023.
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.
@Internet Retail (+2.08% weekly)The internet retail industry includes companies that sell products and services through the Internet. With more and more consumers using online retailers, the companies have seen a big increase in the use of their services. Some of the companies in the group are focused on selling business-to-business products and services. Others sell business-to-consumer products and services. Internet retailers offer a wide variety of products like books, apparel, and electronics. Some companies even specialize in only one or two categories. One potentially critical factor for players to thrive in this space is the quality and speed of product delivery. This requires an investment in efficient distribution networks. Things like logistics are important factors in the success in the extremely competitive industry. For a company to stay relevant in the industry it must have effective pricing strategies and upgraded websites. The websites must be easy to navigate and engaging for customers. In addition to the revenues generated from straight sales, internet retailers can generate revenue from subscription fees and advertising. Amazon.com, Inc., Alibaba Group, and JD.com are some of the global leaders.
COEP | LOGC | COEP / LOGC | |
Capitalization | 8M | 187M | 4% |
EBITDA | -10.29M | -145M | 7% |
Gain YTD | -75.175 | 19.328 | -389% |
P/E Ratio | N/A | N/A | - |
Revenue | 0 | 96M | - |
Total Cash | 1.14M | 150M | 1% |
Total Debt | 1.78M | 0 | - |
COEP | LOGC | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 51 | 78 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 26 Undervalued | 45 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 99 | 98 | |
PRICE GROWTH RATING 1..100 | 88 | 40 | |
P/E GROWTH RATING 1..100 | 100 | 100 | |
SEASONALITY SCORE 1..100 | 55 | 39 |
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.
COEP's Valuation (26) in the null industry is in the same range as LOGC (45) in the Pharmaceuticals Major industry. This means that COEP’s stock grew similarly to LOGC’s over the last 12 months.
COEP's Profit vs Risk Rating (100) in the null industry is in the same range as LOGC (100) in the Pharmaceuticals Major industry. This means that COEP’s stock grew similarly to LOGC’s over the last 12 months.
LOGC's SMR Rating (98) in the Pharmaceuticals Major industry is in the same range as COEP (99) in the null industry. This means that LOGC’s stock grew similarly to COEP’s over the last 12 months.
LOGC's Price Growth Rating (40) in the Pharmaceuticals Major industry is somewhat better than the same rating for COEP (88) in the null industry. This means that LOGC’s stock grew somewhat faster than COEP’s over the last 12 months.
LOGC's P/E Growth Rating (100) in the Pharmaceuticals Major industry is in the same range as COEP (100) in the null industry. This means that LOGC’s stock grew similarly to COEP’s over the last 12 months.
COEP | LOGC | |
---|---|---|
RSI ODDS (%) | 1 day ago28% | 1 day ago67% |
Stochastic ODDS (%) | 1 day ago72% | 1 day ago88% |
Momentum ODDS (%) | 1 day ago59% | 1 day ago79% |
MACD ODDS (%) | 1 day ago57% | 1 day ago77% |
TrendWeek ODDS (%) | 1 day ago68% | 1 day ago80% |
TrendMonth ODDS (%) | 1 day ago74% | 1 day ago77% |
Advances ODDS (%) | 17 days ago54% | 1 day ago82% |
Declines ODDS (%) | 2 days ago75% | 9 days ago89% |
BollingerBands ODDS (%) | 1 day ago64% | 1 day ago85% |
Aroon ODDS (%) | 1 day ago22% | 1 day ago83% |
A.I.dvisor indicates that over the last year, COEP has been loosely correlated with SNPX. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if COEP jumps, then SNPX could also see price increases.
Ticker / NAME | Correlation To COEP | 1D Price Change % | ||
---|---|---|---|---|
COEP | 100% | +2.47% | ||
SNPX - COEP | 37% Loosely correlated | +1.36% | ||
LOGC - COEP | 35% Loosely correlated | +2.01% | ||
SCNI - COEP | 31% Poorly correlated | +17.22% | ||
TIL - COEP | 31% Poorly correlated | +5.61% | ||
YMAB - COEP | 30% Poorly correlated | +3.07% | ||
More |
A.I.dvisor indicates that over the last year, LOGC has been closely correlated with EPIX. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if LOGC jumps, then EPIX could also see price increases.
Ticker / NAME | Correlation To LOGC | 1D Price Change % | ||
---|---|---|---|---|
LOGC | 100% | +2.01% | ||
EPIX - LOGC | 67% Closely correlated | +3.98% | ||
TSHA - LOGC | 45% Loosely correlated | +13.30% | ||
PCVX - LOGC | 45% Loosely correlated | +0.17% | ||
ATNM - LOGC | 43% Loosely correlated | -1.36% | ||
LGND - LOGC | 39% Loosely correlated | +2.27% | ||
More |