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DFH vs TARS
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 DFH is a StrongBuy and TARS is a Buy.
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).
DFH’s FA Score shows that 0 FA rating(s) are green whileTARS’s FA Score has 0 green FA rating(s).
- DFH’s FA Score: 0 green, 5 red.
- TARS’s FA Score: 0 green, 5 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.
DFH’s TA Score shows that 4 TA indicator(s) are bullish while TARS’s TA Score has 5 bullish TA indicator(s).
- DFH’s TA Score: 4 bullish, 5 bearish.
- TARS’s TA Score: 5 bullish, 4 bearish.
Price Growth
DFH (@Homebuilding) experienced а +0.39% price change this week, while TARS (@Biotechnology) price change was +4.35% for the same time period.
The average weekly price growth across all stocks in the @Homebuilding industry was +1.65%. For the same industry, the average monthly price growth was +4.08%, and the average quarterly price growth was +2.98%.
The average weekly price growth across all stocks in the @Biotechnology industry was +2.32%. For the same industry, the average monthly price growth was +14.92%, and the average quarterly price growth was +30.67%.
Reported Earning Dates
DFH is expected to report earnings on Oct 30, 2025.
TARS is expected to report earnings on Nov 05, 2025.
Industries' Descriptions
@Homebuilding (+1.65% weekly)Homebuilding includes companies residential home construction companies, renovators and repair firms. The companies may be building single-family or multifamily homes, condominiums or mobile homes. Over the five years to 2019, the Home Builders industry is estimated to have grown at an annualized rate of 2.5% to reach $89.4 billion, (including expected growth of 2.6% in 2019), according to a study by IbisWorld. After having suffered one of its worst crises a decade ago during the last macroeconomic recession–which had much of its origins in U.S. real estate – the homebuilding industry has been recovering steadily so far. Higher disposable incomes and improving economic activity have bolstered consumers’ purchases of homes. While revenue of the Home Builders industry remains well below its prerecession high, demand growth estimates show promise.
@Biotechnology (+2.32% 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.
| DFH | TARS | DFH / TARS | |
| Capitalization | 2.65B | 2.48B | 107% |
| EBITDA | 420M | -81.71M | -514% |
| Gain YTD | 20.713 | 4.425 | 468% |
| P/E Ratio | 9.24 | N/A | - |
| Revenue | 4.71B | 296M | 1,591% |
| Total Cash | 210M | 381M | 55% |
| Total Debt | 1.58B | 72.4M | 2,182% |
| DFH | TARS | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 60% |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 78% |
| Momentum ODDS (%) | 2 days ago 84% | 2 days ago 78% |
| MACD ODDS (%) | 2 days ago 77% | 2 days ago 80% |
| TrendWeek ODDS (%) | 2 days ago 78% | 2 days ago 82% |
| TrendMonth ODDS (%) | 2 days ago 80% | 2 days ago 81% |
| Advances ODDS (%) | 10 days ago 81% | 7 days ago 83% |
| Declines ODDS (%) | 2 days ago 81% | 29 days ago 83% |
| BollingerBands ODDS (%) | 2 days ago 80% | 2 days ago 70% |
| Aroon ODDS (%) | 2 days ago 85% | N/A |
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DFH and
Correlation & Price change
A.I.dvisor indicates that over the last year, DFH has been closely correlated with PHM. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if DFH jumps, then PHM could also see price increases.
| Ticker / NAME | Correlation To DFH | 1D Price Change % | ||
|---|---|---|---|---|
| DFH | 100% | -1.58% | ||
| PHM - DFH | 82% Closely correlated | -0.08% | ||
| MHO - DFH | 82% Closely correlated | +0.41% | ||
| GRBK - DFH | 82% Closely correlated | +0.04% | ||
| TMHC - DFH | 81% Closely correlated | -0.09% | ||
| MTH - DFH | 81% Closely correlated | +0.88% | ||
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TARS and
Correlation & Price change
A.I.dvisor indicates that over the last year, TARS has been loosely correlated with RYTM. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if TARS jumps, then RYTM could also see price increases.
| Ticker / NAME | Correlation To TARS | 1D Price Change % | ||
|---|---|---|---|---|
| TARS | 100% | -1.75% | ||
| RYTM - TARS | 38% Loosely correlated | +1.09% | ||
| XERS - TARS | 38% Loosely correlated | +0.50% | ||
| CRNX - TARS | 37% Loosely correlated | -1.71% | ||
| OCUL - TARS | 36% Loosely correlated | N/A | ||
| XENE - TARS | 35% Loosely correlated | +0.57% | ||
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