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).
VGPBF’s FA Score shows that 1 FA rating(s) are green whileWETH’s FA Score has 1 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.
WETH’s TA Score shows that 1 TA indicator(s) are bullish.
VGPBF (@Real Estate Development) experienced а -1.63% price change this week, while WETH (@Real Estate Development) price change was +7.74% 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.
VGPBF | WETH | VGPBF / WETH | |
Capitalization | 2.93B | 26.8M | 10,933% |
EBITDA | -100.39M | N/A | - |
Gain YTD | -32.145 | -74.308 | 43% |
P/E Ratio | 3.54 | 2.03 | 174% |
Revenue | 72.8M | N/A | - |
Total Cash | 699M | N/A | - |
Total Debt | 2.37B | N/A | - |
WETH | ||
---|---|---|
OUTLOOK RATING 1..100 | 8 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 52 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 91 | |
P/E GROWTH RATING 1..100 | 30 | |
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.
WETH | |
---|---|
RSI ODDS (%) | N/A |
Stochastic ODDS (%) | N/A |
Momentum ODDS (%) | 11 days ago88% |
MACD ODDS (%) | N/A |
TrendWeek ODDS (%) | 11 days ago67% |
TrendMonth ODDS (%) | 11 days ago86% |
Advances ODDS (%) | 11 days ago77% |
Declines ODDS (%) | N/A |
BollingerBands ODDS (%) | N/A |
Aroon ODDS (%) | 11 days ago85% |
A.I.dvisor tells us that VGPBF and GMGSF have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that VGPBF and GMGSF's prices will move in lockstep.
Ticker / NAME | Correlation To VGPBF | 1D Price Change % | ||
---|---|---|---|---|
VGPBF | 100% | N/A | ||
GMGSF - VGPBF | 29% Poorly correlated | +2.87% | ||
MHPC - VGPBF | 23% Poorly correlated | N/A | ||
SGD - VGPBF | 23% Poorly correlated | -0.55% | ||
WRFRF - VGPBF | 22% Poorly correlated | N/A | ||
CDEVF - VGPBF | 20% Poorly correlated | N/A | ||
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A.I.dvisor tells us that WETH and DOUG have been poorly correlated (+7% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WETH and DOUG's prices will move in lockstep.
Ticker / NAME | Correlation To WETH | 1D Price Change % | ||
---|---|---|---|---|
WETH | 100% | -2.22% | ||
DOUG - WETH | 7% Poorly correlated | +5.29% | ||
VGPBF - WETH | 6% Poorly correlated | N/A | ||
LCOMF - WETH | 4% Poorly correlated | N/A | ||
DRSLF - WETH | 4% Poorly correlated | N/A | ||
STHO - WETH | 3% Poorly correlated | -1.06% | ||
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