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).
PLL’s FA Score shows that 0 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.
PLL’s TA Score shows that 3 TA indicator(s) are bullish while SGML’s TA Score has 3 bullish TA indicator(s).
PLL (@Other Metals/Minerals) experienced а +1.92% price change this week, while SGML (@Other Metals/Minerals) price change was +2.05% for the same time period.
The average weekly price growth across all stocks in the @Other Metals/Minerals industry was -1.39%. For the same industry, the average monthly price growth was -3.56%, and the average quarterly price growth was -10.62%.
PLL is expected to report earnings on Feb 26, 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.
PLL | SGML | PLL / SGML | |
Capitalization | 257M | 1.54B | 17% |
EBITDA | -18.36M | -82.05M | 22% |
Gain YTD | -58.626 | -58.960 | 99% |
P/E Ratio | N/A | N/A | - |
Revenue | 39.8M | 130M | 31% |
Total Cash | 72.2M | 38.1M | 190% |
Total Debt | 1.57M | 157M | 1% |
PLL | SGML | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 19 | 63 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 35 Fair valued | 90 Overvalued | |
PROFIT vs RISK RATING 1..100 | 92 | 66 | |
SMR RATING 1..100 | 90 | 76 | |
PRICE GROWTH RATING 1..100 | 55 | 61 | |
P/E GROWTH RATING 1..100 | 100 | 33 | |
SEASONALITY SCORE 1..100 | n/a | 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.
PLL's Valuation (35) in the Chemicals Agricultural industry is somewhat better than the same rating for SGML (90) in the null industry. This means that PLL’s stock grew somewhat faster than SGML’s over the last 12 months.
SGML's Profit vs Risk Rating (66) in the null industry is in the same range as PLL (92) in the Chemicals Agricultural industry. This means that SGML’s stock grew similarly to PLL’s over the last 12 months.
SGML's SMR Rating (76) in the null industry is in the same range as PLL (90) in the Chemicals Agricultural industry. This means that SGML’s stock grew similarly to PLL’s over the last 12 months.
PLL's Price Growth Rating (55) in the Chemicals Agricultural industry is in the same range as SGML (61) in the null industry. This means that PLL’s stock grew similarly to SGML’s over the last 12 months.
SGML's P/E Growth Rating (33) in the null industry is significantly better than the same rating for PLL (100) in the Chemicals Agricultural industry. This means that SGML’s stock grew significantly faster than PLL’s over the last 12 months.
PLL | SGML | |
---|---|---|
RSI ODDS (%) | 5 days ago90% | N/A |
Stochastic ODDS (%) | 3 days ago84% | 3 days ago90% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago77% |
MACD ODDS (%) | 3 days ago84% | 3 days ago80% |
TrendWeek ODDS (%) | 3 days ago82% | 3 days ago83% |
TrendMonth ODDS (%) | 3 days ago84% | 3 days ago78% |
Advances ODDS (%) | 5 days ago82% | 14 days ago88% |
Declines ODDS (%) | 3 days ago88% | 3 days ago83% |
BollingerBands ODDS (%) | N/A | 3 days ago81% |
Aroon ODDS (%) | 3 days ago86% | 3 days ago89% |
A.I.dvisor indicates that over the last year, PLL has been loosely correlated with LAC. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if PLL jumps, then LAC could also see price increases.
Ticker / NAME | Correlation To PLL | 1D Price Change % | ||
---|---|---|---|---|
PLL | 100% | -2.26% | ||
LAC - PLL | 56% Loosely correlated | -3.88% | ||
MP - PLL | 53% Loosely correlated | -1.56% | ||
SGML - PLL | 51% Loosely correlated | -1.60% | ||
BHP - PLL | 50% Loosely correlated | -0.40% | ||
FSUGY - PLL | 48% Loosely correlated | -0.77% | ||
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A.I.dvisor indicates that over the last year, SGML has been loosely correlated with PLL. These tickers have moved in lockstep 51% 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% | -1.60% | ||
PLL - SGML | 51% Loosely correlated | -2.26% | ||
LAC - SGML | 47% Loosely correlated | -3.88% | ||
PILBF - SGML | 45% Loosely correlated | -3.78% | ||
GLNCY - SGML | 43% Loosely correlated | +0.32% | ||
MP - SGML | 42% Loosely correlated | -1.56% | ||
More |