Intraday BUY SELL Signals
Intraday BUY SELL Signals
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LITP vs XME
LITP vs XME Comparison
Open Charts LITP vs XME
Sprott Lithium Miners ETF
Price$12.75
Change-$0.93 (-6.80%)
Volume$100
Net Assets59.4M
Stt Strt®SPDR®S&P®Mtls &MngETF
Price$119.21
Change-$5.37 (-4.31%)
Volume$560
Net Assets4.5B
LITP vs XME Comparison Chart in %
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LITP vs. XME commentary
Feb 04, 2026
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 LITP is a Hold and XME is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
XME has more net assets: 4.5B vs. LITP (59.4M). XME has a higher annual dividend yield than LITP: XME (20.239) vs LITP (13.528). LITP was incepted earlier than XME: LITP (3 years) vs XME (20 years). XME (0.35) has a lower expense ratio than LITP (0.65). LITP (49.00) and XME (48.00) have matching turnover.
| LITP | XME | LITP / XME | |
| Gain YTD | 13.528 | 20.239 | 67% |
| Net Assets | 59.4M | 4.5B | 1% |
| Total Expense Ratio | 0.65 | 0.35 | 186% |
| Turnover | 49.00 | 48.00 | 102% |
| Yield | 6.76 | 0.33 | 2,067% |
| Fund Existence | 3 years | 20 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| LITP | XME | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 81% |
| MACD ODDS (%) | 2 days ago 81% | 2 days ago 82% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Advances ODDS (%) | 2 days ago 88% | 8 days ago 90% |
| Declines ODDS (%) | 6 days ago 90% | 3 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 77% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 90% |
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LITP and
Correlation & Price change
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | +5.07% | ||
| SQM - LITP | 71% Closely correlated | +5.38% | ||
| ALB - LITP | 71% Closely correlated | +3.46% | ||
| SGML - LITP | 67% Closely correlated | +11.35% | ||
| LAR - LITP | 58% Loosely correlated | +6.75% | ||
| LAC - LITP | 58% Loosely correlated | +8.61% | ||
More | ||||
XME and
Correlation & Price change
A.I.dvisor indicates that over the last year, XME has been closely correlated with STLD. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if XME jumps, then STLD could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To XME | 1D Price Change % | ||
|---|---|---|---|---|
| XME | 100% | +5.02% | ||
| STLD - XME | 70% Closely correlated | +3.43% | ||
| AA - XME | 69% Closely correlated | +5.39% | ||
| CDE - XME | 68% Closely correlated | +4.63% | ||
| CLF - XME | 67% Closely correlated | +2.89% | ||
| KALU - XME | 66% Closely correlated | +5.30% | ||
More | ||||