GNR | LITP | GNR / LITP | |
Gain YTD | 7.576 | -10.928 | -69% |
Net Assets | 2.78B | 13.3M | 20,887% |
Total Expense Ratio | 0.40 | 0.65 | 62% |
Turnover | 15.00 | 49.00 | 31% |
Yield | 4.57 | 7.94 | 58% |
Fund Existence | 15 years | 2 years | - |
GNR | LITP | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago85% |
Stochastic ODDS (%) | 2 days ago75% | 2 days ago90% |
Momentum ODDS (%) | 2 days ago84% | 2 days ago90% |
MACD ODDS (%) | 2 days ago81% | 2 days ago74% |
TrendWeek ODDS (%) | 2 days ago83% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago82% | 2 days ago81% |
Advances ODDS (%) | 2 days ago82% | 2 days ago82% |
Declines ODDS (%) | 14 days ago84% | 14 days ago90% |
BollingerBands ODDS (%) | 2 days ago79% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago84% | 2 days ago90% |
A.I.dvisor indicates that over the last year, GNR has been closely correlated with FCX. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if GNR jumps, then FCX could also see price increases.
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
---|---|---|---|---|
LITP | 100% | +0.85% | ||
SQM - LITP | 77% Closely correlated | -0.42% | ||
ALB - LITP | 77% Closely correlated | +0.47% | ||
LAR - LITP | 72% Closely correlated | -0.47% | ||
PLL - LITP | 71% Closely correlated | -2.09% | ||
LAC - LITP | 66% Closely correlated | -3.49% | ||
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