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BATT vs ICOP
BATT vs ICOP Comparison
Open Charts BATT vs ICOP
Amplify Lithium & Battery Tech ETF
Price$8.93
Change-$0.13 (-1.43%)
Volume$19.34K
Net Assets57.82M
iShares Copper and Metals Mining ETF
Price$29.09
Change-$0.11 (-0.38%)
Volume$13.26K
Net Assets58.01M
BATT vs ICOP Comparison Chart
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BATT vs. ICOP commentary
Jun 16, 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 BATT is a Hold and ICOP is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
ICOP (58M) and BATT (57.8M) have similar net assets . ICOP has a higher annual dividend yield than BATT: ICOP (13.989) vs BATT (1.477). BATT was incepted earlier than ICOP: BATT (7 years) vs ICOP (2 years). ICOP (0.47) has a lower expense ratio than BATT (0.59). ICOP has a higher turnover BATT (42.00) vs BATT (42.00).
| BATT | ICOP | BATT / ICOP | |
| Gain YTD | 1.477 | 13.989 | 11% |
| Net Assets | 57.8M | 58M | 100% |
| Total Expense Ratio | 0.59 | 0.47 | 126% |
| Turnover | 42.00 | 55.00 | 76% |
| Yield | 3.21 | 1.71 | 188% |
| Fund Existence | 7 years | 2 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | ICOP | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 83% | 3 days ago 85% |
| Stochastic ODDS (%) | 3 days ago 86% | 3 days ago 75% |
| Momentum ODDS (%) | 3 days ago 90% | 5 days ago 79% |
| MACD ODDS (%) | 3 days ago 87% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 89% | 3 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 85% | 3 days ago 76% |
| Advances ODDS (%) | 5 days ago 88% | 26 days ago 86% |
| Declines ODDS (%) | 3 days ago 90% | 5 days ago 87% |
| BollingerBands ODDS (%) | 3 days ago 88% | 3 days ago 89% |
| Aroon ODDS (%) | 3 days ago 85% | 3 days ago 72% |
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Interesting Tickers
BATT and
Correlation & Price change
A.I.dvisor indicates that over the last year, BATT has been closely correlated with FCX. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then FCX could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -1.48% | ||
| FCX - BATT | 75% Closely correlated | -0.58% | ||
| HBM - BATT | 69% Closely correlated | +0.83% | ||
| SQM - BATT | 69% Closely correlated | -1.71% | ||
| SGML - BATT | 64% Loosely correlated | -2.14% | ||
| BHP - BATT | 64% Loosely correlated | -2.53% | ||
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ICOP and
Correlation & Price change
A.I.dvisor indicates that over the last year, ICOP has been closely correlated with SCCO. These tickers have moved in lockstep 92% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOP jumps, then SCCO could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To ICOP | 1D Price Change % | ||
|---|---|---|---|---|
| ICOP | 100% | -0.38% | ||
| SCCO - ICOP | 92% Closely correlated | -1.23% | ||
| FCX - ICOP | 91% Closely correlated | -0.58% | ||
| HBM - ICOP | 86% Closely correlated | +0.83% | ||
| BHP - ICOP | 85% Closely correlated | -2.53% | ||
| RIO - ICOP | 82% Closely correlated | -1.16% | ||
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