Intraday BUY SELL Signals
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COPX vs LITP
COPX vs LITP Comparison
Open Charts COPX vs LITP
Global X Copper Miners ETF
Price$67.12
Change-$0.35 (-0.52%)
Volume$46.75K
Net Assets3.72B
Sprott Lithium Miners ETF
Price$11.51
Change-$0.33 (-2.79%)
Volume$261
Net Assets35.4M
COPX vs LITP Comparison Chart in %
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COPX vs. LITP commentary
Dec 05, 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 COPX is a Buy and LITP is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
COPX has more net assets: 3.72B vs. LITP (35.4M). COPX (77.689) and LITP (77.299) have matching annual dividend yield . COPX was incepted earlier than LITP: COPX (16 years) vs LITP (3 years). COPX (0.65) and LITP (0.65) have comparable expense ratios . LITP has a higher turnover COPX (14.60) vs COPX (14.60).
| COPX | LITP | COPX / LITP | |
| Gain YTD | 77.689 | 77.299 | 101% |
| Net Assets | 3.72B | 35.4M | 10,511% |
| Total Expense Ratio | 0.65 | 0.65 | 100% |
| Turnover | 14.60 | 49.00 | 30% |
| Yield | 1.22 | 3.62 | 34% |
| Fund Existence | 16 years | 3 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| COPX | LITP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 71% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 87% |
| Advances ODDS (%) | 7 days ago 89% | 7 days ago 86% |
| Declines ODDS (%) | 17 days ago 88% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 90% |
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Interesting Tickers
COPX and
Correlation & Price change
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if COPX jumps, then BHP could also see price increases.
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| Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
|---|---|---|---|---|
| COPX | 100% | +4.36% | ||
| BHP - COPX | 78% Closely correlated | +2.93% | ||
| WDS - COPX | 57% Loosely correlated | +1.32% | ||
| TKO - COPX | 34% Loosely correlated | +0.13% | ||
| NEXA - COPX | 30% Poorly correlated | +4.62% | ||
| SLS - COPX | 13% Poorly correlated | +10.79% |
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.
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| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | -1.39% | ||
| SQM - LITP | 71% Closely correlated | -2.04% | ||
| ALB - LITP | 70% Closely correlated | -1.29% | ||
| LAR - LITP | 69% Closely correlated | -2.62% | ||
| SGML - LITP | 67% Closely correlated | -4.75% | ||
| LAC - LITP | 58% Loosely correlated | -2.78% | ||
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