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 whileSTHO’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.
AIRE’s TA Score shows that 4 TA indicator(s) are bullish while STHO’s TA Score has 4 bullish TA indicator(s).
AIRE (@Real Estate Development) experienced а +1.92% price change this week, while STHO (@Real Estate Development) price change was -2.33% for the same time period.
The average weekly price growth across all stocks in the @Real Estate Development industry was -2.18%. For the same industry, the average monthly price growth was +11.72%, and the average quarterly price growth was +9.89%.
AIRE is expected to report earnings on Nov 12, 2024.
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 | STHO | AIRE / STHO | |
Capitalization | 52.1M | 171M | 30% |
EBITDA | 672K | -168.75M | -0% |
Gain YTD | -46.734 | -21.629 | 216% |
P/E Ratio | 384.62 | N/A | - |
Revenue | 398K | 101M | 0% |
Total Cash | 723K | 50.7M | 1% |
Total Debt | 1.48M | 194M | 1% |
AIRE | STHO | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago80% |
Stochastic ODDS (%) | 2 days ago82% | 2 days ago81% |
Momentum ODDS (%) | N/A | 2 days ago74% |
MACD ODDS (%) | 2 days ago75% | N/A |
TrendWeek ODDS (%) | 2 days ago79% | 2 days ago75% |
TrendMonth ODDS (%) | 2 days ago90% | 2 days ago76% |
Advances ODDS (%) | 7 days ago65% | 3 days ago56% |
Declines ODDS (%) | 3 days ago90% | 9 days ago76% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago70% |
Aroon ODDS (%) | 2 days ago90% | 2 days ago81% |
A.I.dvisor indicates that over the last year, AIRE has been loosely correlated with HUFAF. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if AIRE jumps, then HUFAF could also see price increases.
Ticker / NAME | Correlation To AIRE | 1D Price Change % | ||
---|---|---|---|---|
AIRE | 100% | +6.00% | ||
HUFAF - AIRE | 41% Loosely correlated | N/A | ||
EVGPF - AIRE | 22% Poorly correlated | N/A | ||
CSGP - AIRE | 22% Poorly correlated | -0.59% | ||
MODVF - AIRE | 21% Poorly correlated | -1.81% | ||
STHO - AIRE | 18% Poorly correlated | -4.79% | ||
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A.I.dvisor indicates that over the last year, STHO has been loosely correlated with JOE. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if STHO jumps, then JOE could also see price increases.
Ticker / NAME | Correlation To STHO | 1D Price Change % | ||
---|---|---|---|---|
STHO | 100% | -4.79% | ||
JOE - STHO | 61% Loosely correlated | -2.48% | ||
HHH - STHO | 61% Loosely correlated | -1.24% | ||
KW - STHO | 60% Loosely correlated | -5.13% | ||
MMI - STHO | 60% Loosely correlated | -1.91% | ||
NMRK - STHO | 59% Loosely correlated | -1.97% | ||
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