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).
AIRE’s FA Score shows that 0 FA rating(s) are green whileDOUG’s FA Score has 2 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.
AIRE’s TA Score shows that 4 TA indicator(s) are bullish while DOUG’s TA Score has 3 bullish TA indicator(s).
AIRE (@Real Estate Development) experienced а +2.97% price change this week, while DOUG (@Real Estate Development) price change was +32.78% 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%.
AIRE is expected to report earnings on Nov 12, 2024.
DOUG is expected to report earnings on Feb 27, 2025.
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.
AIRE | DOUG | AIRE / DOUG | |
Capitalization | 52.1M | 131M | 40% |
EBITDA | 672K | -54.09M | -1% |
Gain YTD | -47.739 | -18.983 | 251% |
P/E Ratio | 384.62 | 8.55 | 4,500% |
Revenue | 398K | 956M | 0% |
Total Cash | 723K | 120M | 1% |
Total Debt | 1.48M | 133M | 1% |
AIRE | DOUG | |
---|---|---|
RSI ODDS (%) | 10 days ago90% | 10 days ago90% |
Stochastic ODDS (%) | 10 days ago67% | 10 days ago68% |
Momentum ODDS (%) | N/A | 10 days ago82% |
MACD ODDS (%) | 10 days ago88% | 10 days ago80% |
TrendWeek ODDS (%) | 10 days ago90% | 10 days ago89% |
TrendMonth ODDS (%) | 10 days ago90% | 10 days ago67% |
Advances ODDS (%) | 17 days ago0% | N/A |
Declines ODDS (%) | 10 days ago90% | 11 days ago90% |
BollingerBands ODDS (%) | 10 days ago90% | 10 days ago90% |
Aroon ODDS (%) | 10 days ago90% | 10 days ago89% |
A.I.dvisor tells us that AIRE and GZTGF have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AIRE and GZTGF's prices will move in lockstep.
Ticker / NAME | Correlation To AIRE | 1D Price Change % | ||
---|---|---|---|---|
AIRE | 100% | +6.11% | ||
GZTGF - AIRE | 26% Poorly correlated | N/A | ||
CSGP - AIRE | 22% Poorly correlated | +5.80% | ||
HWTR - AIRE | 22% Poorly correlated | N/A | ||
STHO - AIRE | 18% Poorly correlated | -1.06% | ||
DOUG - AIRE | 16% Poorly correlated | +5.29% | ||
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A.I.dvisor indicates that over the last year, DOUG has been loosely correlated with CBRE. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if DOUG jumps, then CBRE could also see price increases.
Ticker / NAME | Correlation To DOUG | 1D Price Change % | ||
---|---|---|---|---|
DOUG | 100% | +5.29% | ||
CBRE - DOUG | 36% Loosely correlated | -0.29% | ||
HOUS - DOUG | 35% Loosely correlated | +1.69% | ||
CIGI - DOUG | 35% Loosely correlated | -1.04% | ||
JLL - DOUG | 35% Loosely correlated | -0.65% | ||
CWK - DOUG | 35% Loosely correlated | -0.65% | ||
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