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).
MTA’s FA Score shows that 0 FA rating(s) are green whileSILV’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.
MTA’s TA Score shows that 4 TA indicator(s) are bullish while SILV’s TA Score has 2 bullish TA indicator(s).
MTA (@Precious Metals) experienced а -16.58% price change this week, while SILV (@Precious Metals) price change was -5.68% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -4.57%. For the same industry, the average monthly price growth was -3.91%, and the average quarterly price growth was -1.89%.
MTA is expected to report earnings on Mar 28, 2025.
SILV is expected to report earnings on Mar 21, 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.
MTA | SILV | MTA / SILV | |
Capitalization | 284M | 977M | 29% |
EBITDA | -917K | 147M | -1% |
Gain YTD | -0.325 | 49.466 | -1% |
P/E Ratio | N/A | 8.62 | - |
Revenue | 4.6M | 245M | 2% |
Total Cash | 14.1M | 86M | 16% |
Total Debt | 14.6M | 288K | 5,069% |
MTA | SILV | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 66 | 60 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 52 Fair valued | 67 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 56 | |
SMR RATING 1..100 | 90 | 29 | |
PRICE GROWTH RATING 1..100 | 59 | 45 | |
P/E GROWTH RATING 1..100 | 100 | 24 | |
SEASONALITY SCORE 1..100 | 85 | 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.
MTA's Valuation (52) in the null industry is in the same range as SILV (67) in the Precious Metals industry. This means that MTA’s stock grew similarly to SILV’s over the last 12 months.
SILV's Profit vs Risk Rating (56) in the Precious Metals industry is somewhat better than the same rating for MTA (100) in the null industry. This means that SILV’s stock grew somewhat faster than MTA’s over the last 12 months.
SILV's SMR Rating (29) in the Precious Metals industry is somewhat better than the same rating for MTA (90) in the null industry. This means that SILV’s stock grew somewhat faster than MTA’s over the last 12 months.
SILV's Price Growth Rating (45) in the Precious Metals industry is in the same range as MTA (59) in the null industry. This means that SILV’s stock grew similarly to MTA’s over the last 12 months.
SILV's P/E Growth Rating (24) in the Precious Metals industry is significantly better than the same rating for MTA (100) in the null industry. This means that SILV’s stock grew significantly faster than MTA’s over the last 12 months.
MTA | SILV | |
---|---|---|
RSI ODDS (%) | 2 days ago77% | 2 days ago83% |
Stochastic ODDS (%) | 2 days ago79% | 2 days ago83% |
Momentum ODDS (%) | 2 days ago83% | 2 days ago77% |
MACD ODDS (%) | 2 days ago87% | 2 days ago74% |
TrendWeek ODDS (%) | 2 days ago78% | 2 days ago79% |
TrendMonth ODDS (%) | 2 days ago78% | 2 days ago78% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | 3 days ago80% | 3 days ago78% |
BollingerBands ODDS (%) | 2 days ago84% | 2 days ago76% |
Aroon ODDS (%) | 2 days ago72% | 2 days ago81% |
A.I.dvisor indicates that over the last year, MTA has been closely correlated with HL. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if MTA jumps, then HL could also see price increases.
Ticker / NAME | Correlation To MTA | 1D Price Change % | ||
---|---|---|---|---|
MTA | 100% | +2.33% | ||
HL - MTA | 68% Closely correlated | +3.32% | ||
CDE - MTA | 68% Closely correlated | +2.47% | ||
SAND - MTA | 67% Closely correlated | +2.23% | ||
MAG - MTA | 67% Closely correlated | +3.05% | ||
SILV - MTA | 64% Loosely correlated | +2.73% | ||
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A.I.dvisor indicates that over the last year, SILV has been closely correlated with MAG. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if SILV jumps, then MAG could also see price increases.
Ticker / NAME | Correlation To SILV | 1D Price Change % | ||
---|---|---|---|---|
SILV | 100% | +2.73% | ||
MAG - SILV | 78% Closely correlated | +3.05% | ||
CDE - SILV | 71% Closely correlated | +2.47% | ||
EXK - SILV | 68% Closely correlated | +6.01% | ||
FSM - SILV | 68% Closely correlated | +3.52% | ||
SAND - SILV | 67% Closely correlated | +2.23% | ||
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