DRUG vs RLFTF
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 DRUG is a Hold and RLFTF is a Hold.
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).
DRUG’s FA Score shows that 0 FA rating(s) are green whileRLFTF’s FA Score has 1 green FA rating(s).
- DRUG’s FA Score: 0 green, 5 red.
- RLFTF’s FA Score: 1 green, 4 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.
DRUG’s TA Score shows that 4 TA indicator(s) are bullish.
- DRUG’s TA Score: 4 bullish, 5 bearish.
Price Growth
DRUG (@Biotechnology) experienced а -8.43% price change this week, while RLFTF (@Biotechnology) price change was -8.08% for the same time period.
The average weekly price growth across all stocks in the @Biotechnology industry was -11.21%. For the same industry, the average monthly price growth was -17.07%, and the average quarterly price growth was -18.80%.
Reported Earning Dates
DRUG is expected to report earnings on Aug 28, 2023.
Industries' Descriptions
@Biotechnology (-11.21% 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.
| DRUG | RLFTF | DRUG / RLFTF | |
| Capitalization | 230M | 32.1M | 717% |
| EBITDA | -2.67M | -48.16M | 6% |
| Gain YTD | -8.051 | -48.660 | 17% |
| P/E Ratio | N/A | N/A | - |
| Revenue | 0 | 8.59M | - |
| Total Cash | 57.9M | 10.7M | 541% |
| Total Debt | 183K | 2.42M | 8% |
| DRUG | |
|---|---|
| RSI ODDS (%) | N/A |
| Stochastic ODDS (%) | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 88% |
| TrendMonth ODDS (%) | 2 days ago 90% |
| Advances ODDS (%) | 8 days ago 85% |
| Declines ODDS (%) | 2 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 77% |
| Aroon ODDS (%) | 2 days ago 86% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BBN | 16.72 | 0.04 | +0.24% |
| BlackRock Taxable Municipal | |||
| EDD | 4.70 | -0.04 | -0.84% |
| Morgan Stanley Emerging Markets Domestic Debt Fund | |||
| TPIF | 28.60 | -0.31 | -1.08% |
| Timothy Plan International ETF | |||
| WBIF | 28.18 | -0.86 | -2.96% |
| WBI BullBear Value 3000 ETF | |||
| MGK | 295.56 | -18.35 | -5.85% |
| Vanguard Mega Cap Growth ETF | |||
RLFTF and
Correlation & Price change
A.I.dvisor indicates that over the last year, RLFTF has been loosely correlated with RLFTY. These tickers have moved in lockstep 44% of the time. This A.I.-generated data suggests there is some statistical probability that if RLFTF jumps, then RLFTY could also see price increases.
| Ticker / NAME | Correlation To RLFTF | 1D Price Change % | ||
|---|---|---|---|---|
| RLFTF | 100% | +2.14% | ||
| RLFTY - RLFTF | 44% Loosely correlated | -17.00% | ||
| ORKA - RLFTF | 30% Poorly correlated | -5.31% | ||
| DRUG - RLFTF | 21% Poorly correlated | -6.20% | ||
| PCVX - RLFTF | 20% Poorly correlated | -9.29% | ||
| ONTTF - RLFTF | 17% Poorly correlated | -5.88% | ||
More | ||||