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BATT vs ICOP
BATT vs ICOP Comparison
Open Charts BATT vs ICOP
Amplify Lithium & Battery Tech ETF
Price$7.97
Change-$0.39 (-4.67%)
Volume$29.07K
Net Assets56.35M
iShares Copper and Metals Mining ETF
Price$24.69
Change-$1.61 (-6.12%)
Volume$24.41K
Net Assets47.24M
BATT vs ICOP Comparison Chart
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BATT vs. ICOP commentary
Apr 04, 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
BATT has more net assets: 56.4M vs. ICOP (47.2M). ICOP has a higher annual dividend yield than BATT: ICOP (-3.252) vs BATT (-9.432). 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 | -9.432 | -3.252 | 290% |
| Net Assets | 56.4M | 47.2M | 119% |
| Total Expense Ratio | 0.59 | 0.47 | 126% |
| Turnover | 42.00 | 55.00 | 76% |
| Yield | 3.34 | 1.84 | 182% |
| Fund Existence | 7 years | 2 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | ICOP | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 84% | 1 day ago 83% |
| Momentum ODDS (%) | 1 day ago 87% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 88% | 1 day ago 87% |
| TrendWeek ODDS (%) | 1 day ago 88% | 1 day ago 85% |
| TrendMonth ODDS (%) | 1 day ago 88% | 1 day ago 87% |
| Advances ODDS (%) | 11 days ago 89% | 11 days ago 87% |
| Declines ODDS (%) | 1 day ago 89% | 1 day ago 87% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | N/A | N/A |
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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 SQM. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -4.67% | ||
| SQM - BATT | 69% Closely correlated | -0.91% | ||
| PLL - BATT | 66% Closely correlated | -5.75% | ||
| BHP - BATT | 64% Loosely correlated | -2.92% | ||
| ALB - BATT | 62% Loosely correlated | -7.96% | ||
| SGML - BATT | 62% Loosely correlated | -9.88% | ||
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ICOP and
Correlation & Price change
A.I.dvisor indicates that over the last year, ICOP has been closely correlated with FCX. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOP jumps, then FCX could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To ICOP | 1D Price Change % | ||
|---|---|---|---|---|
| ICOP | 100% | -6.13% | ||
| FCX - ICOP | 88% Closely correlated | -12.28% | ||
| SCCO - ICOP | 88% Closely correlated | -8.09% | ||
| HBM - ICOP | 84% Closely correlated | -7.54% | ||
| ERO - ICOP | 79% Closely correlated | -9.78% | ||
| BHP - ICOP | 74% Closely correlated | -2.92% | ||
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