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BATT vs LIT
BATT vs LIT Comparison
Open Charts BATT vs LIT
Amplify Lithium & Battery Tech ETF
Price$13.10
Change-$0.16 (-1.21%)
Volume$68.3K
Net Assets87.4M
Global X Lithium & Battery Tech ETF
Price$56.84
Change-$0.58 (-1.01%)
Volume$401.2K
Net Assets1.27B
BATT vs LIT Comparison Chart in %
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BATT vs. LIT 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 LIT is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
LIT has more net assets: 1.27B vs. BATT (87.4M). BATT has a higher annual dividend yield than LIT: BATT (48.864) vs LIT (39.877). BATT was incepted earlier than LIT: BATT (7 years) vs LIT (15 years). BATT (0.59) has a lower expense ratio than LIT (0.75). BATT has a higher turnover LIT (22.87) vs LIT (22.87).
| BATT | LIT | BATT / LIT | |
| Gain YTD | 48.864 | 39.877 | 123% |
| Net Assets | 87.4M | 1.27B | 7% |
| Total Expense Ratio | 0.59 | 0.75 | 79% |
| Turnover | 69.00 | 22.87 | 302% |
| Yield | 2.16 | 0.47 | 461% |
| Fund Existence | 7 years | 15 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LIT | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 76% | 2 days ago 82% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 85% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 84% |
| Advances ODDS (%) | 16 days ago 89% | 3 days ago 85% |
| Declines ODDS (%) | 2 days ago 89% | 9 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 77% | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 87% |
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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 | ||||
LIT and
Correlation & Price change
A.I.dvisor indicates that over the last year, LIT has been closely correlated with SQM. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if LIT jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To LIT | 1D Price Change % | ||
|---|---|---|---|---|
| LIT | 100% | -1.01% | ||
| SQM - LIT | 72% Closely correlated | -1.71% | ||
| ALB - LIT | 72% Closely correlated | -2.68% | ||
| SGML - LIT | 61% Loosely correlated | -8.41% | ||
| LAR - LIT | 59% Loosely correlated | -1.70% | ||
| RIVN - LIT | 47% Loosely correlated | +0.93% | ||
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