GNR | LITP | GNR / LITP | |
Gain YTD | 8.579 | -16.766 | -51% |
Net Assets | 2.75B | 12M | 22,908% |
Total Expense Ratio | 0.40 | 0.65 | 62% |
Turnover | 15.00 | 49.00 | 31% |
Yield | 4.44 | 8.46 | 52% |
Fund Existence | 15 years | 2 years | - |
GNR | LITP | |
---|---|---|
RSI ODDS (%) | N/A | 1 day ago90% |
Stochastic ODDS (%) | 1 day ago81% | 1 day ago84% |
Momentum ODDS (%) | 1 day ago85% | 1 day ago89% |
MACD ODDS (%) | 1 day ago84% | 1 day ago90% |
TrendWeek ODDS (%) | 1 day ago84% | 1 day ago85% |
TrendMonth ODDS (%) | 1 day ago82% | 1 day ago81% |
Advances ODDS (%) | 1 day ago82% | 1 day ago83% |
Declines ODDS (%) | 16 days ago84% | 5 days ago90% |
BollingerBands ODDS (%) | 1 day ago84% | 1 day ago85% |
Aroon ODDS (%) | 1 day ago83% | 1 day ago86% |
A.I.dvisor indicates that over the last year, GNR has been closely correlated with SHEL. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if GNR jumps, then SHEL 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% | +3.32% | ||
SQM - LITP | 77% Closely correlated | +0.87% | ||
ALB - LITP | 77% Closely correlated | -1.78% | ||
LAR - LITP | 71% Closely correlated | +1.57% | ||
PLL - LITP | 71% Closely correlated | -2.45% | ||
LAC - LITP | 64% Loosely correlated | -0.37% | ||
More |