Intraday BUY SELL Signals
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BATT vs LITP
BATT vs LITP Comparison
Open Charts BATT vs LITP
Amplify Lithium & Battery Tech ETF
Price$15.10
Change-$0.59 (-3.76%)
Volume$100
Net Assets110.64M
Sprott Lithium Miners ETF
Price$12.75
Change-$0.93 (-6.80%)
Volume$100
Net Assets59.4M
BATT vs LITP Comparison Chart in %
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BATT vs. LITP commentary
Feb 04, 2026
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 Buy and LITP is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
BATT has more net assets: 111M vs. LITP (59.4M). BATT (13.696) and LITP (13.528) have matching annual dividend yield . BATT was incepted earlier than LITP: BATT (8 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 | 13.696 | 13.528 | 101% |
| Net Assets | 111M | 59.4M | 187% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 73.00 | 49.00 | 149% |
| Yield | 1.66 | 6.76 | 25% |
| Fund Existence | 8 years | 3 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LITP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 78% |
| Momentum ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 81% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 88% |
| Advances ODDS (%) | 7 days ago 88% | 2 days ago 88% |
| Declines ODDS (%) | 3 days ago 89% | 6 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 77% |
| Aroon ODDS (%) | 2 days ago 87% | 2 days ago 88% |
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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 71% 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% | +4.11% | ||
| BHP - BATT | 71% Closely correlated | +4.83% | ||
| ALB - BATT | 66% Closely correlated | +3.46% | ||
| SQM - BATT | 63% Loosely correlated | +5.38% | ||
| NIU - BATT | 57% Loosely correlated | +2.61% | ||
| SGML - BATT | 53% Loosely correlated | +11.35% | ||
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% | +5.07% | ||
| SQM - LITP | 71% Closely correlated | +5.38% | ||
| ALB - LITP | 71% Closely correlated | +3.46% | ||
| SGML - LITP | 67% Closely correlated | +11.35% | ||
| LAR - LITP | 58% Loosely correlated | +6.75% | ||
| LAC - LITP | 58% Loosely correlated | +8.61% | ||
More | ||||