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$61.74
Change-$1.58 (-2.50%)
Volume$1.9M
Net Assets3.43B
Sprott Lithium Miners ETF
Price$10.88
Change+$0.39 (+3.72%)
Volume$65.09K
Net Assets30.41M
COPX vs LITP Comparison Chart in %
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COPX vs. LITP commentary
Nov 14, 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: 3.43B vs. LITP (30.4M). COPX has a higher annual dividend yield than LITP: COPX (66.759) vs LITP (57.036). 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 | 66.759 | 57.036 | 117% |
| Net Assets | 3.43B | 30.4M | 11,296% |
| Total Expense Ratio | 0.65 | 0.65 | 100% |
| Turnover | 14.60 | 49.00 | 30% |
| Yield | 1.27 | 4.31 | 29% |
| Fund Existence | 16 years | 3 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| COPX | LITP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 84% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 79% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 86% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| Advances ODDS (%) | 4 days ago 89% | 2 days ago 85% |
| Declines ODDS (%) | 10 days ago 87% | 10 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | N/A |
| Aroon ODDS (%) | 2 days ago 85% | 2 days ago 90% |
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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% | +2.13% | ||
| BHP - COPX | 78% Closely correlated | +0.99% | ||
| WDS - COPX | 57% Loosely correlated | -0.68% | ||
| NEXA - COPX | 30% Poorly correlated | +9.63% | ||
| TKO - COPX | 30% Poorly correlated | +1.11% | ||
| SLS - COPX | 9% Poorly correlated | -1.32% |
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% | +1.60% | ||
| SQM - LITP | 71% Closely correlated | +2.11% | ||
| ALB - LITP | 70% Closely correlated | +6.20% | ||
| LAR - LITP | 69% Closely correlated | +2.95% | ||
| SGML - LITP | 67% Closely correlated | -0.34% | ||
| LAC - LITP | 59% Loosely correlated | -1.42% | ||
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