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).
DTCWY’s FA Score shows that 0 FA rating(s) are green whileSGD’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.
SGD’s TA Score shows that 5 TA indicator(s) are bullish.
DTCWY (@Real Estate Development) experienced а -4.80% price change this week, while SGD (@Real Estate Development) price change was -46.29% for the same time period.
The average weekly price growth across all stocks in the @Real Estate Development industry was -1.07%. For the same industry, the average monthly price growth was -3.02%, and the average quarterly price growth was +8.82%.
Activities range from the renovation and re-lease of existing buildings to the purchase of raw land and the sale of developed land or parcels to others. Demand for land development business is driven by GDP growth, employment rates, interest rates, and access to/cost of capital. For individual companies in this industry, proper cost estimation and successful bidding play critical roles in their profitability. Large companies could potentially have greater access to capital, while smaller companies can specialize in a specific geographic area or market niche. CBRE Group, VICI Properties Inc and Brookfield Property Partners L.P. are some of the large companies in this industry.
DTCWY | SGD | DTCWY / SGD | |
Capitalization | 9.98B | 9.23M | 108,117% |
EBITDA | -353.3M | -12.3M | 2,873% |
Gain YTD | -9.714 | -93.536 | 10% |
P/E Ratio | 5.41 | N/A | - |
Revenue | 1.08B | 0 | - |
Total Cash | N/A | 33.4K | - |
Total Debt | N/A | 6.77M | - |
DTCWY | ||
---|---|---|
OUTLOOK RATING 1..100 | 89 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 71 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 90 | |
PRICE GROWTH RATING 1..100 | 51 | |
P/E GROWTH RATING 1..100 | 91 | |
SEASONALITY SCORE 1..100 | 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.
SGD | |
---|---|
RSI ODDS (%) | 10 days ago78% |
Stochastic ODDS (%) | 10 days ago87% |
Momentum ODDS (%) | 10 days ago79% |
MACD ODDS (%) | 10 days ago88% |
TrendWeek ODDS (%) | 10 days ago90% |
TrendMonth ODDS (%) | 10 days ago90% |
Advances ODDS (%) | 18 days ago0% |
Declines ODDS (%) | 10 days ago90% |
BollingerBands ODDS (%) | N/A |
Aroon ODDS (%) | N/A |
A.I.dvisor indicates that over the last year, DTCWY has been loosely correlated with DWHHF. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if DTCWY jumps, then DWHHF could also see price increases.
Ticker / NAME | Correlation To DTCWY | 1D Price Change % | ||
---|---|---|---|---|
DTCWY | 100% | -4.80% | ||
DWHHF - DTCWY | 35% Loosely correlated | N/A | ||
SGD - DTCWY | 25% Poorly correlated | -0.55% | ||
SVAUF - DTCWY | 24% Poorly correlated | N/A | ||
CWK - DTCWY | 23% Poorly correlated | -0.65% | ||
OPAD - DTCWY | 20% Poorly correlated | -2.72% | ||
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A.I.dvisor indicates that over the last year, SGD has been loosely correlated with SVAUF. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if SGD jumps, then SVAUF could also see price increases.
Ticker / NAME | Correlation To SGD | 1D Price Change % | ||
---|---|---|---|---|
SGD | 100% | -0.55% | ||
SVAUF - SGD | 41% Loosely correlated | N/A | ||
VNNVF - SGD | 26% Poorly correlated | N/A | ||
DTCWY - SGD | 25% Poorly correlated | -4.80% | ||
VGPBF - SGD | 23% Poorly correlated | N/A | ||
CRBJY - SGD | 23% Poorly correlated | N/A | ||
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