| DFSV | IWN | DFSV / IWN | |
| Gain YTD | 12.113 | 16.838 | 72% |
| Net Assets | 6.15B | 12.5B | 49% |
| Total Expense Ratio | 0.30 | 0.24 | 125% |
| Turnover | 8.00 | 28.00 | 29% |
| Yield | 1.52 | 1.57 | 97% |
| Fund Existence | 4 years | 25 years | - |
| DFSV | IWN | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 87% | 2 days ago 84% |
| Momentum ODDS (%) | 3 days ago 86% | 2 days ago 88% |
| MACD ODDS (%) | 3 days ago 90% | 2 days ago 89% |
| TrendWeek ODDS (%) | 3 days ago 86% | 2 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 84% | 2 days ago 84% |
| Advances ODDS (%) | 3 days ago 85% | 2 days ago 85% |
| Declines ODDS (%) | 26 days ago 82% | 5 days ago 80% |
| BollingerBands ODDS (%) | 3 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 3 days ago 87% | 2 days ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| OBOR | 26.25 | 0.18 | +0.71% |
| KraneShares MSCI One Belt One Road ETF | |||
| LSAT | 40.70 | 0.27 | +0.67% |
| LeaderShares® AlphaFctr® Tctcl Fcsd ETF | |||
| SLDR | 50.31 | 0.03 | +0.05% |
| Global X Short-Term Treasury Ladder ETF | |||
| TIPX | 19.15 | -0.01 | -0.03% |
| State Street® SPDR® Blmbg 1-10 YrTIPSETF | |||
| EIDO | 18.68 | -0.18 | -0.95% |
| iShares MSCI Indonesia ETF | |||
A.I.dvisor indicates that over the last year, DFSV has been closely correlated with FNB. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if DFSV jumps, then FNB could also see price increases.
| Ticker / NAME | Correlation To DFSV | 1D Price Change % | ||
|---|---|---|---|---|
| DFSV | 100% | +0.83% | ||
| FNB - DFSV | 85% Closely correlated | +0.46% | ||
| OSK - DFSV | 70% Closely correlated | +0.82% | ||
| CMC - DFSV | 61% Loosely correlated | +2.57% | ||
| MUR - DFSV | 58% Loosely correlated | +0.51% | ||
| AVT - DFSV | 57% Loosely correlated | +0.12% | ||
More | ||||
A.I.dvisor indicates that over the last year, IWN has been closely correlated with SSB. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if IWN jumps, then SSB could also see price increases.
| Ticker / NAME | Correlation To IWN | 1D Price Change % | ||
|---|---|---|---|---|
| IWN | 100% | +0.94% | ||
| SSB - IWN | 85% Closely correlated | -0.05% | ||
| UFPI - IWN | 80% Closely correlated | +1.45% | ||
| TMHC - IWN | 68% Closely correlated | +1.56% | ||
| CMC - IWN | 59% Loosely correlated | +2.57% | ||
| CIVI - IWN | 56% Loosely correlated | -2.01% | ||
More | ||||