BATT | GMET | BATT / GMET | |
Gain YTD | -13.577 | -11.013 | 123% |
Net Assets | 68M | 18.5M | 368% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 42.00 | 28.00 | 150% |
Yield | 3.61 | 2.04 | 177% |
Fund Existence | 7 years | 3 years | - |
BATT | GMET | |
---|---|---|
RSI ODDS (%) | N/A | 4 days ago90% |
Stochastic ODDS (%) | 4 days ago87% | 4 days ago86% |
Momentum ODDS (%) | 4 days ago85% | 4 days ago85% |
MACD ODDS (%) | 4 days ago86% | 4 days ago85% |
TrendWeek ODDS (%) | 4 days ago88% | 4 days ago88% |
TrendMonth ODDS (%) | 4 days ago87% | 4 days ago86% |
Advances ODDS (%) | 15 days ago90% | 21 days ago82% |
Declines ODDS (%) | 5 days ago88% | 5 days ago90% |
BollingerBands ODDS (%) | 4 days ago90% | 4 days ago84% |
Aroon ODDS (%) | 4 days ago87% | 4 days ago84% |
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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A.I.dvisor indicates that over the last year, GMET has been loosely correlated with LAC. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if GMET jumps, then LAC could also see price increases.
Ticker / NAME | Correlation To GMET | 1D Price Change % | ||
---|---|---|---|---|
GMET | 100% | +1.22% | ||
LAC - GMET | 50% Loosely correlated | +1.02% | ||
MP - GMET | 6% Poorly correlated | -2.10% | ||
SCCO - GMET | 4% Poorly correlated | +1.12% | ||
SQM - GMET | 3% Poorly correlated | -0.96% | ||
AAL - GMET | 3% Poorly correlated | +1.44% | ||
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