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).
DC’s FA Score shows that 0 FA rating(s) are green whileEXK’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.
DC’s TA Score shows that 3 TA indicator(s) are bullish while EXK’s TA Score has 2 bullish TA indicator(s).
DC (@Precious Metals) experienced а -4.04% price change this week, while EXK (@Precious Metals) price change was -8.23% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was +1.42%. For the same industry, the average monthly price growth was -2.02%, and the average quarterly price growth was +3.95%.
DC is expected to report earnings on Feb 26, 2025.
EXK is expected to report earnings on Mar 03, 2025.
The Precious Metals industry is engaged in exploring/mining metals that are considered to be rare and/or have a high economic value. Popular precious metals include gold, platinum and silver - all three of which are largely used in jewelry, art and coinage alongwith having some industrial uses as well. Precious metals used in industrial processes include iridium, (used in specialty alloys), and palladium ( used in electronics and chemical applications). Historically, precious metals have traded at much higher prices than common industrial metals. Newmont Goldcorp Corp, Barrick Gold Corp and Freeport-McMoRan are few of the major precious metals producing companies in the U.S.
DC | EXK | DC / EXK | |
Capitalization | 206M | 562M | 37% |
EBITDA | -37.73M | 47.9M | -79% |
Gain YTD | -18.321 | 86.802 | -21% |
P/E Ratio | 41.32 | 83.00 | 50% |
Revenue | 0 | 205M | - |
Total Cash | 25.5M | 40.4M | 63% |
Total Debt | 230K | 9.53M | 2% |
EXK | ||
---|---|---|
OUTLOOK RATING 1..100 | 57 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 88 Overvalued | |
PROFIT vs RISK RATING 1..100 | 72 | |
SMR RATING 1..100 | 92 | |
PRICE GROWTH RATING 1..100 | 54 | |
P/E GROWTH RATING 1..100 | 60 | |
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.
DC | EXK | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 3 days ago80% | 3 days ago77% |
Momentum ODDS (%) | 3 days ago87% | 3 days ago88% |
MACD ODDS (%) | 3 days ago90% | N/A |
TrendWeek ODDS (%) | 3 days ago81% | 3 days ago84% |
TrendMonth ODDS (%) | 3 days ago77% | 3 days ago82% |
Advances ODDS (%) | 7 days ago79% | N/A |
Declines ODDS (%) | 9 days ago81% | 8 days ago81% |
BollingerBands ODDS (%) | 3 days ago71% | 3 days ago79% |
Aroon ODDS (%) | 3 days ago74% | 3 days ago82% |
A.I.dvisor indicates that over the last year, DC has been loosely correlated with SA. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if DC jumps, then SA could also see price increases.
A.I.dvisor indicates that over the last year, EXK has been closely correlated with MAG. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if EXK jumps, then MAG could also see price increases.
Ticker / NAME | Correlation To EXK | 1D Price Change % | ||
---|---|---|---|---|
EXK | 100% | -0.81% | ||
MAG - EXK | 75% Closely correlated | +0.07% | ||
FSM - EXK | 70% Closely correlated | +0.23% | ||
SILV - EXK | 70% Closely correlated | -0.54% | ||
CDE - EXK | 69% Closely correlated | -0.17% | ||
GATO - EXK | 68% Closely correlated | +1.43% | ||
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