LITOF vs SGML
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is LITOF is a Hold and SGML is a Hold.
Long-Term Analysis
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).
LITOF’s FA Score shows that 0 FA rating(s) are green whileSGML’s FA Score has 1 green FA rating(s).
- LITOF’s FA Score: 0 green, 5 red.
- SGML’s FA Score: 1 green, 4 red.
Short-Term Analysis
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.
LITOF’s TA Score shows that 6 TA indicator(s) are bullish while SGML’s TA Score has 4 bullish TA indicator(s).
- LITOF’s TA Score: 6 bullish, 4 bearish.
- SGML’s TA Score: 4 bullish, 6 bearish.
Price Growth
LITOF (@Other Metals/Minerals) experienced а -1.22% price change this week, while SGML (@Other Metals/Minerals) price change was +6.91% for the same time period.
The average weekly price growth across all stocks in the @Other Metals/Minerals industry was +1.89%. For the same industry, the average monthly price growth was +5.86%, and the average quarterly price growth was +10.09%.
Reported Earning Dates
LITOF is expected to report earnings on Feb 26, 2025.
SGML is expected to report earnings on Aug 28, 2025.
Industries' Descriptions
@Other Metals/Minerals (+1.89% weekly)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.
| LITOF | SGML | LITOF / SGML | |
| Capitalization | 309M | 1.54B | 20% |
| EBITDA | -20.51M | -82.05M | 25% |
| Gain YTD | 30.435 | -26.916 | -113% |
| P/E Ratio | N/A | N/A | - |
| Revenue | 0 | 130M | - |
| Total Cash | 30.2M | 38.1M | 79% |
| Total Debt | 196K | 157M | 0% |
LITOF | SGML | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 52 | 7 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 55 Fair valued | 89 Overvalued | |
PROFIT vs RISK RATING 1..100 | 87 | 79 | |
SMR RATING 1..100 | 95 | 94 | |
PRICE GROWTH RATING 1..100 | 55 | 92 | |
P/E GROWTH RATING 1..100 | 100 | 18 | |
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.
LITOF's Valuation (55) in the null industry is somewhat better than the same rating for SGML (89). This means that LITOF’s stock grew somewhat faster than SGML’s over the last 12 months.
SGML's Profit vs Risk Rating (79) in the null industry is in the same range as LITOF (87). This means that SGML’s stock grew similarly to LITOF’s over the last 12 months.
SGML's SMR Rating (94) in the null industry is in the same range as LITOF (95). This means that SGML’s stock grew similarly to LITOF’s over the last 12 months.
LITOF's Price Growth Rating (55) in the null industry is somewhat better than the same rating for SGML (92). This means that LITOF’s stock grew somewhat faster than SGML’s over the last 12 months.
SGML's P/E Growth Rating (18) in the null industry is significantly better than the same rating for LITOF (100). This means that SGML’s stock grew significantly faster than LITOF’s over the last 12 months.
| LITOF | SGML | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 82% |
| Stochastic ODDS (%) | 2 days ago 79% | 2 days ago 83% |
| Momentum ODDS (%) | 2 days ago 77% | 2 days ago 81% |
| MACD ODDS (%) | 2 days ago 72% | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 84% | 2 days ago 84% |
| Advances ODDS (%) | 16 days ago 82% | 7 days ago 87% |
| Declines ODDS (%) | 6 days ago 84% | 3 days ago 83% |
| BollingerBands ODDS (%) | 2 days ago 71% | 2 days ago 71% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 87% |
LITOF and
Correlation & Price change
A.I.dvisor tells us that LITOF and PILBF have been poorly correlated (+27% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that LITOF and PILBF's prices will move in lockstep.
| Ticker / NAME | Correlation To LITOF | 1D Price Change % | ||
|---|---|---|---|---|
| LITOF | 100% | N/A | ||
| PILBF - LITOF | 27% Poorly correlated | +4.31% | ||
| ERO - LITOF | 27% Poorly correlated | +0.16% | ||
| AAGFF - LITOF | 25% Poorly correlated | -3.11% | ||
| EMX - LITOF | 25% Poorly correlated | -1.30% | ||
| SGML - LITOF | 25% Poorly correlated | N/A | ||
More | ||||
SGML and
Correlation & Price change
A.I.dvisor indicates that over the last year, SGML has been loosely correlated with LAR. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if SGML jumps, then LAR could also see price increases.
| Ticker / NAME | Correlation To SGML | 1D Price Change % | ||
|---|---|---|---|---|
| SGML | 100% | N/A | ||
| LAR - SGML | 61% Loosely correlated | -0.94% | ||
| LAC - SGML | 61% Loosely correlated | +3.19% | ||
| FCX - SGML | 60% Loosely correlated | -0.19% | ||
| SCCO - SGML | 59% Loosely correlated | -1.01% | ||
| BHP - SGML | 56% Loosely correlated | +0.37% | ||
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