BATT | LIT | BATT / LIT | |
Gain YTD | 1.477 | -9.441 | -16% |
Net Assets | 57.8M | 808M | 7% |
Total Expense Ratio | 0.59 | 0.75 | 79% |
Turnover | 42.00 | 22.87 | 184% |
Yield | 3.21 | 1.04 | 308% |
Fund Existence | 7 years | 15 years | - |
BATT | LIT | |
---|---|---|
RSI ODDS (%) | 3 days ago83% | 3 days ago86% |
Stochastic ODDS (%) | 3 days ago86% | 3 days ago83% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago84% |
MACD ODDS (%) | 3 days ago87% | 3 days ago88% |
TrendWeek ODDS (%) | 3 days ago89% | 3 days ago87% |
TrendMonth ODDS (%) | 3 days ago85% | 3 days ago87% |
Advances ODDS (%) | 5 days ago88% | 5 days ago86% |
Declines ODDS (%) | 3 days ago90% | 3 days ago89% |
BollingerBands ODDS (%) | 3 days ago88% | 3 days ago81% |
Aroon ODDS (%) | 3 days ago85% | 3 days ago87% |
A.I.dvisor indicates that over the last year, BATT has been closely correlated with FCX. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then FCX could also see price increases.
Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
---|---|---|---|---|
BATT | 100% | -1.48% | ||
FCX - BATT | 75% Closely correlated | -0.58% | ||
HBM - BATT | 69% Closely correlated | +0.83% | ||
SQM - BATT | 69% Closely correlated | -1.71% | ||
SGML - BATT | 64% Loosely correlated | -2.14% | ||
BHP - BATT | 64% Loosely correlated | -2.53% | ||
More |
A.I.dvisor indicates that over the last year, LIT has been closely correlated with SQM. These tickers have moved in lockstep 79% 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.