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).
MHO’s FA Score shows that 2 FA rating(s) are green while.
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.
MHO’s TA Score shows that 2 TA indicator(s) are bullish.
MHO (@Homebuilding) experienced а +0.85% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Homebuilding industry was +1.11%. For the same industry, the average monthly price growth was -3.32%, and the average quarterly price growth was +4.75%.
MHO is expected to report earnings on Jan 29, 2025.
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.
MHO | ||
---|---|---|
OUTLOOK RATING 1..100 | 75 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 7 | |
SMR RATING 1..100 | 46 | |
PRICE GROWTH RATING 1..100 | 47 | |
P/E GROWTH RATING 1..100 | 30 | |
SEASONALITY SCORE 1..100 | 50 |
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.
MHO | XSHQ | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago77% | 2 days ago90% |
Momentum ODDS (%) | 2 days ago72% | 2 days ago83% |
MACD ODDS (%) | 2 days ago79% | 2 days ago88% |
TrendWeek ODDS (%) | 2 days ago81% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago68% | 2 days ago87% |
Advances ODDS (%) | 8 days ago81% | 2 days ago86% |
Declines ODDS (%) | 10 days ago66% | 8 days ago81% |
BollingerBands ODDS (%) | N/A | 2 days ago84% |
Aroon ODDS (%) | N/A | 2 days ago83% |
A.I.dvisor indicates that over the last year, MHO has been closely correlated with CCS. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if MHO jumps, then CCS could also see price increases.
A.I.dvisor indicates that over the last year, XSHQ has been closely correlated with UFPI. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSHQ jumps, then UFPI could also see price increases.
Ticker / NAME | Correlation To XSHQ | 1D Price Change % | ||
---|---|---|---|---|
XSHQ | 100% | +1.52% | ||
UFPI - XSHQ | 78% Closely correlated | +1.47% | ||
MLI - XSHQ | 77% Closely correlated | +0.77% | ||
MHO - XSHQ | 75% Closely correlated | +1.02% | ||
ACA - XSHQ | 74% Closely correlated | +2.37% | ||
ABG - XSHQ | 74% Closely correlated | +3.07% | ||
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