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).
DTCFF’s FA Score shows that 0 FA rating(s) are green whileMOLN’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.
DTCFF’s TA Score shows that 5 TA indicator(s) are bullish while MOLN’s TA Score has 4 bullish TA indicator(s).
DTCFF (@Biotechnology) experienced а 0.00% price change this week, while MOLN (@Biotechnology) price change was +1.87% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was +7.15%. For the same industry, the average monthly price growth was +33.42%, and the average quarterly price growth was +4.05%.
MOLN is expected to report earnings on Aug 25, 2025.
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.
DTCFF | MOLN | DTCFF / MOLN | |
Capitalization | 28M | 138M | 20% |
EBITDA | -3.16M | -57.15M | 6% |
Gain YTD | 43.527 | -20.809 | -209% |
P/E Ratio | N/A | N/A | - |
Revenue | 0 | 2.23M | - |
Total Cash | 2.08M | 131M | 2% |
Total Debt | 1.39M | 2.14M | 65% |
DTCFF | MOLN | |
---|---|---|
RSI ODDS (%) | 2 days ago70% | N/A |
Stochastic ODDS (%) | 2 days ago60% | 2 days ago73% |
Momentum ODDS (%) | 2 days ago51% | 2 days ago73% |
MACD ODDS (%) | 2 days ago50% | 2 days ago74% |
TrendWeek ODDS (%) | 2 days ago55% | 2 days ago69% |
TrendMonth ODDS (%) | 2 days ago69% | 2 days ago82% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | 3 days ago82% |
Aroon ODDS (%) | 2 days ago58% | 2 days ago83% |
A.I.dvisor tells us that DTCFF and VERA have been poorly correlated (+14% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that DTCFF and VERA's prices will move in lockstep.
Ticker / NAME | Correlation To DTCFF | 1D Price Change % | ||
---|---|---|---|---|
DTCFF | 100% | N/A | ||
VERA - DTCFF | 14% Poorly correlated | +2.83% | ||
BRNS - DTCFF | 11% Poorly correlated | +5.11% | ||
MOLN - DTCFF | 7% Poorly correlated | +1.35% | ||
VALN - DTCFF | 6% Poorly correlated | +1.57% | ||
LYEL - DTCFF | 5% Poorly correlated | -0.27% | ||
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A.I.dvisor indicates that over the last year, MOLN has been loosely correlated with SNSE. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if MOLN jumps, then SNSE could also see price increases.
Ticker / NAME | Correlation To MOLN | 1D Price Change % | ||
---|---|---|---|---|
MOLN | 100% | +1.35% | ||
SNSE - MOLN | 42% Loosely correlated | +4.69% | ||
SLDB - MOLN | 36% Loosely correlated | +5.87% | ||
RCKT - MOLN | 33% Poorly correlated | +11.20% | ||
ATRA - MOLN | 31% Poorly correlated | +5.77% | ||
RAPT - MOLN | 30% Poorly correlated | +9.48% | ||
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