BATT | LIT | BATT / LIT | |
Gain YTD | -13.577 | -16.717 | 81% |
Net Assets | 68M | 1.13B | 6% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 42.00 | 19.76 | 213% |
Yield | 3.61 | 1.25 | 290% |
Fund Existence | 7 years | 14 years | - |
BATT | LIT | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 4 days ago87% | 4 days ago90% |
Momentum ODDS (%) | 4 days ago85% | 4 days ago79% |
MACD ODDS (%) | 4 days ago86% | 6 days ago86% |
TrendWeek ODDS (%) | 4 days ago88% | 4 days ago85% |
TrendMonth ODDS (%) | 4 days ago87% | 4 days ago86% |
Advances ODDS (%) | 15 days ago90% | 12 days ago87% |
Declines ODDS (%) | 5 days ago88% | 5 days ago88% |
BollingerBands ODDS (%) | 4 days ago90% | 4 days ago88% |
Aroon ODDS (%) | 4 days ago87% | 4 days ago87% |
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.
Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
---|---|---|---|---|
BATT | 100% | +1.33% | ||
SQM - BATT | 69% Closely correlated | -0.96% | ||
PLL - BATT | 66% Closely correlated | -2.40% | ||
NIO - BATT | 65% Loosely correlated | +3.18% | ||
BHP - BATT | 64% Loosely correlated | +0.53% | ||
XPEV - BATT | 63% Loosely correlated | -0.55% | ||
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