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BATT vs LITP
BATT vs LITP Comparison
Open Charts BATT vs LITP
Amplify Lithium & Battery Tech ETF
Price$13.10
Change-$0.16 (-1.21%)
Volume$68.3K
Net Assets87.4M
Sprott Lithium Miners ETF
Price$9.69
Change-$0.37 (-3.68%)
Volume$56.19K
Net Assets29.66M
BATT vs LITP Comparison Chart in %
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BATT vs. LITP commentary
Oct 19, 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: 87.4M vs. LITP (29.7M). BATT has a higher annual dividend yield than LITP: BATT (48.864) vs LITP (45.060). BATT was incepted earlier than LITP: BATT (7 years) vs LITP (3 years). BATT (0.59) has a lower expense ratio than LITP (0.65). BATT has a higher turnover LITP (49.00) vs LITP (49.00).
| BATT | LITP | BATT / LITP | |
| Gain YTD | 48.864 | 45.060 | 108% |
| Net Assets | 87.4M | 29.7M | 294% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 69.00 | 49.00 | 141% |
| Yield | 2.16 | 4.91 | 44% |
| Fund Existence | 7 years | 3 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LITP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 76% | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 85% |
| Advances ODDS (%) | 16 days ago 89% | 5 days ago 84% |
| Declines ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 77% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 84% |
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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 BHP. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then BHP could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -1.21% | ||
| BHP - BATT | 70% Closely correlated | -1.23% | ||
| ALB - BATT | 66% Loosely correlated | -2.68% | ||
| SQM - BATT | 65% Loosely correlated | -1.71% | ||
| NIU - BATT | 57% Loosely correlated | -3.89% | ||
| SGML - BATT | 57% Loosely correlated | -8.41% | ||
More | ||||
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% | -3.68% | ||
| SQM - LITP | 71% Closely correlated | -1.71% | ||
| ALB - LITP | 69% Closely correlated | -2.68% | ||
| LAR - LITP | 69% Closely correlated | -1.70% | ||
| SGML - LITP | 68% Closely correlated | -8.41% | ||
| LAC - LITP | 58% Loosely correlated | -8.12% | ||
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