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BATT vs LITP
BATT vs LITP Comparison
Open Charts BATT vs LITP
Amplify Lithium & Battery Tech ETF
Price$9.63
Change+$0.12 (+1.26%)
Volume$12.39K
Net Assets64.07M
Sprott Lithium Miners ETF
Price$6.37
Change+$0.26 (+4.26%)
Volume$10.91K
Net Assets14.68M
BATT vs LITP Comparison Chart in %
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BATT vs. LITP commentary
Jul 07, 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 LITP is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
BATT has more net assets: 64.1M vs. LITP (14.7M). BATT has a higher annual dividend yield than LITP: BATT (9.449) vs LITP (-4.641). BATT was incepted earlier than LITP: BATT (7 years) vs LITP (2 years). BATT (0.59) has a lower expense ratio than LITP (0.65). LITP has a higher turnover BATT (42.00) vs BATT (42.00).
| BATT | LITP | BATT / LITP | |
| Gain YTD | 9.449 | -4.641 | -204% |
| Net Assets | 64.1M | 14.7M | 436% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 42.00 | 49.00 | 86% |
| Yield | 2.98 | 7.64 | 39% |
| Fund Existence | 7 years | 2 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LITP | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 89% | 4 days ago 88% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 75% |
| MACD ODDS (%) | 4 days ago 87% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 88% | 4 days ago 85% |
| TrendMonth ODDS (%) | 4 days ago 85% | 4 days ago 81% |
| Advances ODDS (%) | 4 days ago 88% | 4 days ago 83% |
| Declines ODDS (%) | 24 days ago 90% | 17 days ago 90% |
| BollingerBands ODDS (%) | 4 days ago 84% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 86% | 4 days ago 90% |
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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 76% 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% | +1.28% | ||
| FCX - BATT | 76% Closely correlated | +0.07% | ||
| HBM - BATT | 70% Closely correlated | -1.19% | ||
| SQM - BATT | 69% Closely correlated | -0.77% | ||
| SGML - BATT | 65% Loosely correlated | +7.90% | ||
| BHP - BATT | 64% Loosely correlated | -0.41% | ||
More | ||||
LITP and
Correlation & Price change
A.I.dvisor indicates that over the last year, LITP has been closely correlated with ALB. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then ALB could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | +4.26% | ||
| ALB - LITP | 77% Closely correlated | -1.15% | ||
| SQM - LITP | 77% Closely correlated | -0.77% | ||
| PLL - LITP | 72% Closely correlated | -1.51% | ||
| LAR - LITP | 72% Closely correlated | -0.85% | ||
| LAC - LITP | 64% Loosely correlated | -1.85% | ||
More | ||||