| CALF | SMCF | CALF / SMCF | |
| Gain YTD | 16.782 | 17.021 | 99% |
| Net Assets | 3.54B | 3.12M | 113,708% |
| Total Expense Ratio | 0.59 | 0.29 | 203% |
| Turnover | 146.00 | 42.00 | 348% |
| Yield | 1.20 | 3.31 | 36% |
| Fund Existence | 9 years | 3 years | - |
| CALF | SMCF | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 85% | 4 days ago 50% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 63% |
| Momentum ODDS (%) | 4 days ago 86% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 85% |
| TrendWeek ODDS (%) | 4 days ago 86% | 4 days ago 84% |
| TrendMonth ODDS (%) | 4 days ago 84% | 4 days ago 79% |
| Advances ODDS (%) | 4 days ago 86% | 11 days ago 84% |
| Declines ODDS (%) | 20 days ago 85% | N/A |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 64% |
| Aroon ODDS (%) | N/A | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| KVLE | 28.31 | 0.07 | +0.24% |
| KraneShares Value Line® Dyn Div Eq ETF | |||
| PDP | 147.30 | N/A | N/A |
| Invesco Dorsey Wright Momentum ETF | |||
| POWR | 27.26 | -0.03 | -0.11% |
| iShares U.S. Power Infrastructure ETF | |||
| FLCE | 31.04 | -0.06 | -0.19% |
| Frontier Asset U.S. Large-Cap Equity ETF | |||
| KSTR | 28.19 | -2.61 | -8.47% |
| KraneShares SSE STAR Market 50 ETF | |||
A.I.dvisor indicates that over the last year, CALF has been closely correlated with UFPI. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if CALF jumps, then UFPI could also see price increases.
| Ticker / NAME | Correlation To CALF | 1D Price Change % | ||
|---|---|---|---|---|
| CALF | 100% | +1.23% | ||
| UFPI - CALF | 80% Closely correlated | +0.04% | ||
| M - CALF | 76% Closely correlated | -0.77% | ||
| GPI - CALF | 72% Closely correlated | +0.62% | ||
| ABG - CALF | 71% Closely correlated | +3.73% | ||
| MTH - CALF | 67% Closely correlated | +0.38% | ||
More | ||||
A.I.dvisor indicates that over the last year, SMCF has been closely correlated with GNW. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMCF jumps, then GNW could also see price increases.
| Ticker / NAME | Correlation To SMCF | 1D Price Change % | ||
|---|---|---|---|---|
| SMCF | 100% | N/A | ||
| GNW - SMCF | 68% Closely correlated | +0.63% | ||
| TBBK - SMCF | 22% Poorly correlated | -1.01% | ||
| PRDO - SMCF | 15% Poorly correlated | +3.55% | ||
| TNET - SMCF | 12% Poorly correlated | +3.80% | ||
| MGNI - SMCF | 10% Poorly correlated | +0.49% | ||
More | ||||