| NBSM | VOT | NBSM / VOT | |
| Gain YTD | 11.926 | 7.369 | 162% |
| Net Assets | 115M | 34.8B | 0% |
| Total Expense Ratio | 0.65 | 0.05 | 1,300% |
| Turnover | 39.00 | 17.00 | 229% |
| Yield | 0.35 | 0.59 | 59% |
| Fund Existence | 2 years | 20 years | - |
| NBSM | VOT | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 90% | 5 days ago 83% |
| Stochastic ODDS (%) | 4 days ago 89% | 4 days ago 81% |
| Momentum ODDS (%) | 4 days ago 79% | 4 days ago 87% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 87% |
| TrendWeek ODDS (%) | 4 days ago 78% | 4 days ago 84% |
| TrendMonth ODDS (%) | 4 days ago 78% | 4 days ago 81% |
| Advances ODDS (%) | 4 days ago 82% | 14 days ago 84% |
| Declines ODDS (%) | 6 days ago 78% | 6 days ago 80% |
| BollingerBands ODDS (%) | 4 days ago 90% | N/A |
| Aroon ODDS (%) | 4 days ago 76% | 4 days ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TBF | 24.87 | 0.15 | +0.61% |
| ProShares Short 20+ Year Treasury | |||
| IYR | 103.91 | 0.59 | +0.57% |
| iShares US Real Estate ETF | |||
| SCDS | 76.08 | N/A | N/A |
| JPMorgan Fundamental Data Sci Sm Cor ETF | |||
| VEM | 26.65 | N/A | N/A |
| Virtus Emerging Markets Dividend ETF | |||
| XPH | 66.82 | -1.62 | -2.37% |
| State Street® SPDR® S&P® PhrmctlsETF | |||
A.I.dvisor indicates that over the last year, NBSM has been closely correlated with GTES. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if NBSM jumps, then GTES could also see price increases.
| Ticker / NAME | Correlation To NBSM | 1D Price Change % | ||
|---|---|---|---|---|
| NBSM | 100% | +0.21% | ||
| GTES - NBSM | 68% Closely correlated | -0.38% | ||
| EXP - NBSM | 67% Closely correlated | -2.20% | ||
| SSD - NBSM | 67% Closely correlated | -1.69% | ||
| CR - NBSM | 67% Closely correlated | -1.47% | ||
| CFR - NBSM | 61% Loosely correlated | +0.66% | ||
More | ||||
A.I.dvisor indicates that over the last year, VOT has been closely correlated with XPO. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if VOT jumps, then XPO could also see price increases.
| Ticker / NAME | Correlation To VOT | 1D Price Change % | ||
|---|---|---|---|---|
| VOT | 100% | -0.91% | ||
| XPO - VOT | 75% Closely correlated | +0.76% | ||
| RVTY - VOT | 72% Closely correlated | -1.05% | ||
| CZR - VOT | 71% Closely correlated | -0.60% | ||
| SWKS - VOT | 68% Closely correlated | -3.54% | ||
| SEIC - VOT | 68% Closely correlated | +0.76% | ||
More | ||||