BATT | GMET | BATT / GMET | |
Gain YTD | 37.159 | 37.590 | 99% |
Net Assets | 72.2M | 23.3M | 310% |
Total Expense Ratio | 0.59 | 0.61 | 97% |
Turnover | 69.00 | 20.00 | 345% |
Yield | 2.51 | 1.46 | 172% |
Fund Existence | 7 years | 4 years | - |
BATT | GMET | |
---|---|---|
RSI ODDS (%) | 2 days ago84% | 2 days ago77% |
Stochastic ODDS (%) | 2 days ago89% | 2 days ago86% |
Momentum ODDS (%) | 7 days ago85% | 7 days ago88% |
MACD ODDS (%) | 2 days ago85% | 2 days ago76% |
TrendWeek ODDS (%) | 2 days ago88% | 2 days ago86% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago82% |
Advances ODDS (%) | 3 days ago89% | 3 days ago84% |
Declines ODDS (%) | 8 days ago89% | 22 days ago90% |
BollingerBands ODDS (%) | 2 days ago81% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago84% |
A.I.dvisor indicates that over the last year, BATT has been closely correlated with BHP. These tickers have moved in lockstep 72% 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.
Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
---|---|---|---|---|
BATT | 100% | +1.34% | ||
BHP - BATT | 72% Closely correlated | -1.74% | ||
ALB - BATT | 69% Closely correlated | -0.96% | ||
SQM - BATT | 66% Closely correlated | -0.69% | ||
LAC - BATT | 60% Loosely correlated | +1.24% | ||
SGML - BATT | 58% Loosely correlated | -1.53% | ||
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