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).
DLMI’s FA Score shows that 0 FA rating(s) are green whileEVGPF’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.
DLMI’s TA Score shows that 2 TA indicator(s) are bullish while EVGPF’s TA Score has 5 bullish TA indicator(s).
DLMI (@Investment Banks/Brokers) experienced а -44.72% price change this week, while EVGPF (@Real Estate Development) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -1.69%. For the same industry, the average monthly price growth was +2.21%, and the average quarterly price growth was +20.27%.
The average weekly price growth across all stocks in the @Real Estate Development industry was +3.01%. For the same industry, the average monthly price growth was +3.24%, and the average quarterly price growth was +7.98%.
These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
@Real Estate Development (+3.01% weekly)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.
DLMI | EVGPF | DLMI / EVGPF | |
Capitalization | 191M | 1.26B | 15% |
EBITDA | N/A | N/A | - |
Gain YTD | 45.676 | -19.000 | -240% |
P/E Ratio | N/A | 5.81 | - |
Revenue | N/A | N/A | - |
Total Cash | N/A | N/A | - |
Total Debt | N/A | N/A | - |
DLMI | ||
---|---|---|
OUTLOOK RATING 1..100 | 87 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 35 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 45 | |
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.
DLMI | EVGPF | |
---|---|---|
RSI ODDS (%) | 1 day ago50% | 1 day ago33% |
Stochastic ODDS (%) | 1 day ago33% | 1 day ago33% |
Momentum ODDS (%) | 1 day ago33% | 1 day ago38% |
MACD ODDS (%) | 5 days ago52% | 1 day ago23% |
TrendWeek ODDS (%) | 1 day ago43% | 1 day ago19% |
TrendMonth ODDS (%) | 1 day ago36% | 1 day ago58% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | 1 day ago78% | N/A |
BollingerBands ODDS (%) | 1 day ago83% | 1 day ago50% |
Aroon ODDS (%) | 1 day ago33% | N/A |
A.I.dvisor tells us that DLMI and AZLCZ have been poorly correlated (+4% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that DLMI and AZLCZ's prices will move in lockstep.
Ticker / NAME | Correlation To DLMI | 1D Price Change % | ||
---|---|---|---|---|
DLMI | 100% | -23.00% | ||
AZLCZ - DLMI | 4% Poorly correlated | -2.70% | ||
TRPTF - DLMI | 0% Poorly correlated | +1.63% | ||
MGAG - DLMI | -0% Poorly correlated | N/A | ||
EVGPF - DLMI | -0% Poorly correlated | N/A | ||
BVERS - DLMI | -1% Poorly correlated | +6.39% | ||
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A.I.dvisor indicates that over the last year, EVGPF has been loosely correlated with SHMSF. These tickers have moved in lockstep 43% of the time. This A.I.-generated data suggests there is some statistical probability that if EVGPF jumps, then SHMSF could also see price increases.
Ticker / NAME | Correlation To EVGPF | 1D Price Change % | ||
---|---|---|---|---|
EVGPF | 100% | N/A | ||
SHMSF - EVGPF | 43% Loosely correlated | N/A | ||
VGPBF - EVGPF | 34% Loosely correlated | N/A | ||
AIRE - EVGPF | 22% Poorly correlated | +8.98% | ||
TRPTF - EVGPF | 0% Poorly correlated | +1.63% | ||
MGAG - EVGPF | -0% Poorly correlated | N/A | ||
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