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$76.03
Change+$2.28 (+3.09%)
Volume$244
Net Assets4.57B
Sprott Lithium Miners ETF
Price$12.82
Change+$0.07 (+0.55%)
Volume$1.19K
Net Assets40.74M
COPX vs LITP Comparison Chart in %
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COPX vs. LITP commentary
Dec 27, 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 Hold and LITP is a StrongBuy.
SUMMARIES
FUNDAMENTALS
Fundamentals
COPX has more net assets: 4.57B vs. LITP (40.7M). COPX (94.228) and LITP (90.930) 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 | 94.228 | 90.930 | 104% |
| Net Assets | 4.57B | 40.7M | 11,224% |
| 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 (%) | 3 days ago 90% | 4 days ago 87% |
| Stochastic ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| TrendMonth ODDS (%) | 3 days ago 87% | 3 days ago 87% |
| Advances ODDS (%) | 4 days ago 89% | 3 days ago 87% |
| Declines ODDS (%) | 18 days ago 88% | 12 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 90% | N/A |
| Aroon ODDS (%) | 3 days ago 86% | 3 days ago 86% |
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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.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
|---|---|---|---|---|
| COPX | 100% | -0.26% | ||
| BHP - COPX | 78% Closely correlated | -0.34% | ||
| WDS - COPX | 57% Loosely correlated | -0.39% | ||
| TKO - COPX | 35% Loosely correlated | +1.06% | ||
| NEXA - COPX | 30% Poorly correlated | -0.56% | ||
| SLS - COPX | 14% Poorly correlated | +2.53% |
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% | +0.82% | ||
| SQM - LITP | 71% Closely correlated | +0.01% | ||
| ALB - LITP | 70% Closely correlated | +1.23% | ||
| LAR - LITP | 69% Closely correlated | +1.62% | ||
| SGML - LITP | 67% Closely correlated | +0.15% | ||
| LAC - LITP | 56% Loosely correlated | +1.89% | ||
More | ||||