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).
AWCA’s FA Score shows that 0 FA rating(s) are green whileVGPBF’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.
AWCA’s TA Score shows that 1 TA indicator(s) are bullish while VGPBF’s TA Score has 3 bullish TA indicator(s).
AWCA (@Real Estate Development) experienced а -10.08% price change this week, while VGPBF (@Real Estate Development) price change was +5.73% for the same time period.
The average weekly price growth across all stocks in the @Real Estate Development industry was +1.59%. For the same industry, the average monthly price growth was +0.69%, 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.
AWCA | VGPBF | AWCA / VGPBF | |
Capitalization | 85.6M | 2.93B | 3% |
EBITDA | -3.9M | -100.39M | 4% |
Gain YTD | 20.936 | 7.131 | 294% |
P/E Ratio | N/A | 3.54 | - |
Revenue | 105K | 72.8M | 0% |
Total Cash | 27.9K | 699M | 0% |
Total Debt | 2.87M | 2.37B | 0% |
AWCA | ||
---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 67 Overvalued | |
PROFIT vs RISK RATING 1..100 | 71 | |
SMR RATING 1..100 | 98 | |
PRICE GROWTH RATING 1..100 | 64 | |
P/E GROWTH RATING 1..100 | 100 | |
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.
AWCA | VGPBF | |
---|---|---|
RSI ODDS (%) | N/A | 12 days ago44% |
Stochastic ODDS (%) | 12 days ago54% | 12 days ago46% |
Momentum ODDS (%) | 12 days ago70% | N/A |
MACD ODDS (%) | 12 days ago76% | 12 days ago43% |
TrendWeek ODDS (%) | 12 days ago72% | 12 days ago55% |
TrendMonth ODDS (%) | 12 days ago71% | 12 days ago52% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | 12 days ago67% | 25 days ago45% |
BollingerBands ODDS (%) | N/A | 12 days ago38% |
Aroon ODDS (%) | N/A | 12 days ago55% |
1 Day | |||
---|---|---|---|
MFs / NAME | Price $ | Chg $ | Chg % |
FSUMX | 14.39 | 0.13 | +0.91% |
Fidelity Series Sustainable U.S. Market | |||
HCMIX | 30.05 | 0.24 | +0.81% |
HCM Tactical Growth I | |||
JADGX | 70.38 | 0.49 | +0.70% |
Janus Henderson Growth And Income S | |||
AWSIX | 16.16 | 0.11 | +0.69% |
Invesco Global Core Equity R5 | |||
GQHIX | 12.72 | 0.06 | +0.47% |
GQG Partners US Quality Value Fund Ins |
A.I.dvisor tells us that AWCA and SHMSF have been poorly correlated (+7% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AWCA and SHMSF's prices will move in lockstep.
Ticker / NAME | Correlation To AWCA | 1D Price Change % | ||
---|---|---|---|---|
AWCA | 100% | -20.70% | ||
SHMSF - AWCA | 7% Poorly correlated | N/A | ||
HHH - AWCA | 5% Poorly correlated | -1.08% | ||
VGPBF - AWCA | 3% Poorly correlated | +5.73% | ||
DOUG - AWCA | 2% Poorly correlated | N/A | ||
OMH - AWCA | 1% Poorly correlated | +2.26% | ||
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A.I.dvisor indicates that over the last year, VGPBF has been loosely correlated with EVGPF. These tickers have moved in lockstep 34% of the time. This A.I.-generated data suggests there is some statistical probability that if VGPBF jumps, then EVGPF could also see price increases.
Ticker / NAME | Correlation To VGPBF | 1D Price Change % | ||
---|---|---|---|---|
VGPBF | 100% | +5.73% | ||
EVGPF - VGPBF | 34% Loosely correlated | N/A | ||
GMGSF - VGPBF | 29% Poorly correlated | +2.62% | ||
CIGI - VGPBF | 26% Poorly correlated | +0.77% | ||
MMI - VGPBF | 22% Poorly correlated | +1.30% | ||
HOUS - VGPBF | 21% Poorly correlated | -3.43% | ||
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