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).
MP’s FA Score shows that 1 FA rating(s) are green whileSGML’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.
MP’s TA Score shows that 5 TA indicator(s) are bullish while SGML’s TA Score has 3 bullish TA indicator(s).
MP (@Other Metals/Minerals) experienced а +6.66% price change this week, while SGML (@Other Metals/Minerals) price change was +2.33% for the same time period.
The average weekly price growth across all stocks in the @Other Metals/Minerals industry was +0.60%. For the same industry, the average monthly price growth was -0.21%, and the average quarterly price growth was -9.37%.
MP is expected to report earnings on Feb 20, 2025.
SGML is expected to report earnings on Apr 30, 2025.
The category includes companies that explore for, mine and extract metals, such as copper, diamonds, nickel, cobalt ore, lead, zinc and uranium. BHP, Rio Tinto and Southern Copper Corporation are major players in this space.
MP | SGML | MP / SGML | |
Capitalization | 2.37B | 1.54B | 154% |
EBITDA | 94M | -82.05M | -115% |
Gain YTD | 0.000 | -56.740 | - |
P/E Ratio | 107.71 | N/A | - |
Revenue | 253M | 130M | 195% |
Total Cash | 998M | 38.1M | 2,619% |
Total Debt | 689M | 157M | 439% |
SGML | ||
---|---|---|
OUTLOOK RATING 1..100 | 60 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 91 Overvalued | |
PROFIT vs RISK RATING 1..100 | 64 | |
SMR RATING 1..100 | 78 | |
PRICE GROWTH RATING 1..100 | 50 | |
P/E GROWTH RATING 1..100 | 31 | |
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.
MP | SGML | |
---|---|---|
RSI ODDS (%) | 2 days ago82% | 7 days ago77% |
Stochastic ODDS (%) | 2 days ago84% | 2 days ago90% |
Momentum ODDS (%) | 2 days ago85% | 2 days ago65% |
MACD ODDS (%) | 2 days ago82% | 2 days ago80% |
TrendWeek ODDS (%) | 2 days ago80% | 2 days ago83% |
TrendMonth ODDS (%) | 2 days ago78% | 2 days ago87% |
Advances ODDS (%) | 7 days ago82% | 10 days ago88% |
Declines ODDS (%) | 14 days ago83% | 6 days ago82% |
BollingerBands ODDS (%) | 2 days ago77% | 2 days ago72% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago90% |
A.I.dvisor indicates that over the last year, MP has been loosely correlated with FCX. These tickers have moved in lockstep 54% of the time. This A.I.-generated data suggests there is some statistical probability that if MP jumps, then FCX could also see price increases.
A.I.dvisor indicates that over the last year, SGML has been loosely correlated with PLL. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if SGML jumps, then PLL could also see price increases.
Ticker / NAME | Correlation To SGML | 1D Price Change % | ||
---|---|---|---|---|
SGML | 100% | -0.07% | ||
PLL - SGML | 50% Loosely correlated | +6.63% | ||
LAC - SGML | 46% Loosely correlated | -3.31% | ||
PILBF - SGML | 45% Loosely correlated | +3.65% | ||
GLNCY - SGML | 43% Loosely correlated | -3.78% | ||
MP - SGML | 43% Loosely correlated | -2.74% | ||
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