BATT | DMAT | BATT / DMAT | |
Gain YTD | 51.364 | 80.973 | 63% |
Net Assets | 80.3M | 8.08M | 994% |
Total Expense Ratio | 0.59 | 0.59 | 100% |
Turnover | 69.00 | 22.42 | 308% |
Yield | 2.16 | 0.94 | 231% |
Fund Existence | 7 years | 4 years | - |
BATT | DMAT | |
---|---|---|
RSI ODDS (%) | 4 days ago87% | 4 days ago71% |
Stochastic ODDS (%) | N/A | 4 days ago89% |
Momentum ODDS (%) | N/A | N/A |
MACD ODDS (%) | 4 days ago87% | 4 days ago84% |
TrendWeek ODDS (%) | 4 days ago88% | 4 days ago85% |
TrendMonth ODDS (%) | 4 days ago85% | 4 days ago81% |
Advances ODDS (%) | 4 days ago89% | 4 days ago83% |
Declines ODDS (%) | 27 days ago89% | 19 days ago84% |
BollingerBands ODDS (%) | 4 days ago81% | 4 days ago90% |
Aroon ODDS (%) | 4 days ago87% | 4 days ago82% |
A.I.dvisor indicates that over the last year, BATT has been closely correlated with BHP. These tickers have moved in lockstep 70% 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% | -0.22% | ||
BHP - BATT | 70% Closely correlated | +0.90% | ||
ALB - BATT | 65% Loosely correlated | +4.32% | ||
SQM - BATT | 63% Loosely correlated | +0.14% | ||
NIU - BATT | 57% Loosely correlated | +23.01% | ||
SGML - BATT | 55% Loosely correlated | +1.07% | ||
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A.I.dvisor tells us that DMAT and ALB have been poorly correlated (+20% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that DMAT and ALB's prices will move in lockstep.
Ticker / NAME | Correlation To DMAT | 1D Price Change % | ||
---|---|---|---|---|
DMAT | 100% | +1.22% | ||
ALB - DMAT | 20% Poorly correlated | +4.32% | ||
LAC - DMAT | 10% Poorly correlated | -6.53% | ||
EAF - DMAT | 8% Poorly correlated | +14.66% | ||
LAR - DMAT | 8% Poorly correlated | +7.02% | ||
AMG - DMAT | 7% Poorly correlated | +0.77% | ||
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