| GNR | LITP | GNR / LITP | |
| Gain YTD | 24.196 | 57.036 | 42% |
| Net Assets | 3.56B | 30.4M | 11,704% |
| Total Expense Ratio | 0.40 | 0.65 | 62% |
| Turnover | 15.00 | 49.00 | 31% |
| Yield | 3.61 | 4.31 | 84% |
| Fund Existence | 15 years | 3 years | - |
| GNR | LITP | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 75% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 84% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 87% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| Advances ODDS (%) | 2 days ago 82% | 2 days ago 85% |
| Declines ODDS (%) | 10 days ago 81% | 10 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 74% | N/A |
| Aroon ODDS (%) | 2 days ago 79% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, GNR has been closely correlated with SHEL. These tickers have moved in lockstep 80% 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 71% 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% | +1.60% | ||
| SQM - LITP | 71% Closely correlated | +2.11% | ||
| ALB - LITP | 70% Closely correlated | +6.20% | ||
| LAR - LITP | 69% Closely correlated | +2.95% | ||
| SGML - LITP | 67% Closely correlated | -0.34% | ||
| LAC - LITP | 59% Loosely correlated | -1.42% | ||
More | ||||