| DSMC | IWN | DSMC / IWN | |
| Gain YTD | 1.407 | 12.385 | 11% |
| Net Assets | 132M | 11.7B | 1% |
| Total Expense Ratio | 0.55 | 0.24 | 229% |
| Turnover | 114.00 | 28.00 | 407% |
| Yield | 1.24 | 1.62 | 77% |
| Fund Existence | 3 years | 25 years | - |
| DSMC | IWN | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 72% | 2 days ago 86% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 85% |
| MACD ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 84% |
| Advances ODDS (%) | 2 days ago 85% | 2 days ago 85% |
| Declines ODDS (%) | 10 days ago 77% | 10 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RVNL | 44.02 | 3.23 | +7.91% |
| GraniteShares 2x Long RIVN Daily ETF | |||
| EEMS | 68.40 | 0.62 | +0.92% |
| iShares MSCI Emerging Markets Sm-Cp ETF | |||
| INDE | 31.15 | 0.06 | +0.19% |
| Matthews India Active ETF | |||
| PSH | 50.56 | -0.01 | -0.03% |
| PGIM Short Duration High Yield ETF | |||
| TDTT | 24.24 | -0.01 | -0.06% |
| FlexShares iBoxx 3Yr Target Dur TIPS ETF | |||
A.I.dvisor indicates that over the last year, DSMC has been closely correlated with FBIN. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if DSMC jumps, then FBIN could also see price increases.
| Ticker / NAME | Correlation To DSMC | 1D Price Change % | ||
|---|---|---|---|---|
| DSMC | 100% | +0.11% | ||
| FBIN - DSMC | 81% Closely correlated | +0.23% | ||
| APAM - DSMC | 80% Closely correlated | -0.81% | ||
| MHK - DSMC | 78% Closely correlated | +0.35% | ||
| CTS - DSMC | 77% Closely correlated | -0.59% | ||
| SYNA - DSMC | 76% Closely correlated | +1.14% | ||
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% | +0.39% | ||
| SSB - IWN | 85% Closely correlated | -0.30% | ||
| UFPI - IWN | 80% Closely correlated | -0.58% | ||
| TMHC - IWN | 68% Closely correlated | -1.07% | ||
| CMC - IWN | 59% Loosely correlated | -0.16% | ||
| CIVI - IWN | 56% Loosely correlated | +3.23% | ||
More | ||||