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LIT vs SGML
LIT vs SGML Comparison
Open Charts LIT vs SGML
Global X Lithium & Battery Tech ETF
Price$39.75
Change+$0.76 (+1.95%)
Volume$148.9K
Net Assets860.66M
Sigma Lithium
Price$4.97
Change-$0.22 (-4.24%)
Volume$2.93K
Capitalization1.54B
LIT vs SGML Comparison Chart in %
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LIT vs. SGML commentary
Jul 07, 2025
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 LIT is a Hold and SGML is a Buy.
SUMMARIES
FUNDAMENTALS RATINGS
SGML: Fundamental Ratings
SGML | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 88 Overvalued | |
PROFIT vs RISK RATING 1..100 | 87 | |
SMR RATING 1..100 | 96 | |
PRICE GROWTH RATING 1..100 | 65 | |
P/E GROWTH RATING 1..100 | 22 | |
SEASONALITY SCORE 1..100 | 75 |
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.
TECHNICAL ANALYSIS
Technical Analysis
| LIT | SGML | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 69% | 5 days ago 79% |
| Stochastic ODDS (%) | 5 days ago 81% | 5 days ago 82% |
| Momentum ODDS (%) | 5 days ago 82% | 5 days ago 86% |
| MACD ODDS (%) | 5 days ago 90% | 5 days ago 88% |
| TrendWeek ODDS (%) | 5 days ago 85% | 5 days ago 85% |
| TrendMonth ODDS (%) | 5 days ago 84% | 5 days ago 87% |
| Advances ODDS (%) | 5 days ago 85% | 5 days ago 85% |
| Declines ODDS (%) | 8 days ago 89% | 8 days ago 85% |
| BollingerBands ODDS (%) | 6 days ago 83% | N/A |
| Aroon ODDS (%) | 5 days ago 85% | 5 days ago 90% |
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Correlation & Price change
A.I.dvisor indicates that over the last year, LIT has been closely correlated with SQM. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if LIT jumps, then SQM could also see price increases.
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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 63% 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.
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| Ticker / NAME | Correlation To SGML | 1D Price Change % | ||
|---|---|---|---|---|
| SGML | 100% | +7.90% | ||
| LAR - SGML | 63% Loosely correlated | -0.85% | ||
| SCCO - SGML | 59% Loosely correlated | -0.22% | ||
| FCX - SGML | 58% Loosely correlated | +0.07% | ||
| LAC - SGML | 57% Loosely correlated | -1.85% | ||
| BHP - SGML | 55% Loosely correlated | -0.41% | ||
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