| ECML | IJS | ECML / IJS | |
| Gain YTD | 21.626 | 19.241 | 112% |
| Net Assets | 130M | 8.2B | 2% |
| Total Expense Ratio | 0.95 | 0.18 | 528% |
| Turnover | 60.00 | 56.00 | 107% |
| Yield | 1.10 | 1.32 | 83% |
| Fund Existence | 3 years | 26 years | - |
| ECML | IJS | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 60% | 7 days ago 89% |
| Stochastic ODDS (%) | 1 day ago 76% | 1 day ago 87% |
| Momentum ODDS (%) | 1 day ago 66% | 1 day ago 82% |
| MACD ODDS (%) | 1 day ago 59% | 1 day ago 77% |
| TrendWeek ODDS (%) | 1 day ago 67% | 1 day ago 82% |
| TrendMonth ODDS (%) | 1 day ago 79% | 1 day ago 82% |
| Advances ODDS (%) | 28 days ago 81% | 7 days ago 86% |
| Declines ODDS (%) | N/A | 1 day ago 80% |
| BollingerBands ODDS (%) | N/A | 1 day ago 88% |
| Aroon ODDS (%) | 1 day ago 73% | 1 day ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FMTL | 38.62 | 0.09 | +0.24% |
| First Trust Indxx Critical Metals ETF | |||
| LRND | 46.13 | -0.21 | -0.46% |
| NYLIM U.S. Large Cap R&D Leaders ETF | |||
| HDUS | 73.28 | -0.40 | -0.54% |
| Hartford Disciplined US Equity ETF | |||
| PFFA | 20.71 | -0.27 | -1.29% |
| Virtus InfraCap US Preferred Stock ETF | |||
| TXBC | 17.19 | -0.28 | -1.60% |
| 21Shares FTSE Crypto 10 ex-BTC Index ETF | |||
A.I.dvisor tells us that ECML and TGLS have been poorly correlated (+13% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ECML and TGLS's prices will move in lockstep.
| Ticker / NAME | Correlation To ECML | 1D Price Change % | ||
|---|---|---|---|---|
| ECML | 100% | -0.74% | ||
| TGLS - ECML | 13% Poorly correlated | -1.81% | ||
| OSK - ECML | 10% Poorly correlated | -1.13% | ||
| HCC - ECML | 9% Poorly correlated | -1.16% | ||
| AMR - ECML | 9% Poorly correlated | +1.43% | ||
| VLO - ECML | 6% Poorly correlated | +1.59% | ||
More | ||||
A.I.dvisor indicates that over the last year, IJS has been closely correlated with SBCF. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if IJS jumps, then SBCF could also see price increases.
| Ticker / NAME | Correlation To IJS | 1D Price Change % | ||
|---|---|---|---|---|
| IJS | 100% | -0.77% | ||
| SBCF - IJS | 84% Closely correlated | -1.91% | ||
| UCB - IJS | 84% Closely correlated | -0.71% | ||
| SFBS - IJS | 84% Closely correlated | -1.52% | ||
| ABCB - IJS | 84% Closely correlated | -1.11% | ||
| SFNC - IJS | 83% Closely correlated | -1.25% | ||
More | ||||