| FTDS | SCHM | FTDS / SCHM | |
| Gain YTD | 14.491 | 11.911 | 122% |
| Net Assets | 25.6M | 12.5B | 0% |
| Total Expense Ratio | 0.70 | 0.04 | 1,750% |
| Turnover | 104.00 | 17.00 | 612% |
| Yield | 1.78 | 1.41 | 127% |
| Fund Existence | 19 years | 15 years | - |
| FTDS | SCHM | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 70% | 3 days ago 82% |
| Momentum ODDS (%) | 3 days ago 79% | 3 days ago 82% |
| MACD ODDS (%) | 3 days ago 73% | 3 days ago 89% |
| TrendWeek ODDS (%) | 3 days ago 81% | 3 days ago 82% |
| TrendMonth ODDS (%) | 3 days ago 77% | 3 days ago 79% |
| Advances ODDS (%) | 16 days ago 78% | 5 days ago 81% |
| Declines ODDS (%) | 18 days ago 75% | 10 days ago 81% |
| BollingerBands ODDS (%) | N/A | 4 days ago 85% |
| Aroon ODDS (%) | 3 days ago 77% | 3 days ago 76% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FBL | 34.04 | 0.27 | +0.80% |
| GraniteShares 2x Long META Daily ETF | |||
| SPYC | 43.66 | 0.25 | +0.58% |
| Simplify US Equity PLUS Convexity ETF | |||
| AOA | 90.24 | 0.22 | +0.24% |
| iShares Core 80/20 Aggressive Allc ETF | |||
| EMIF | 26.92 | 0.01 | +0.04% |
| iShares Emerging Markets Infras ETF | |||
| BFJL | 18.24 | N/A | N/A |
| FT Vest Bitcoin Strategy Floor15 ETF - July | |||
A.I.dvisor indicates that over the last year, FTDS has been closely correlated with SNV. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTDS jumps, then SNV could also see price increases.
| Ticker / NAME | Correlation To FTDS | 1D Price Change % | ||
|---|---|---|---|---|
| FTDS | 100% | +0.22% | ||
| SNV - FTDS | 78% Closely correlated | +0.09% | ||
| CE - FTDS | 76% Closely correlated | +0.62% | ||
| CMA - FTDS | 75% Closely correlated | +0.07% | ||
| PFG - FTDS | 75% Closely correlated | +0.08% | ||
| CBSH - FTDS | 75% Closely correlated | -0.34% | ||
More | ||||
A.I.dvisor indicates that over the last year, SCHM has been loosely correlated with STLD. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if SCHM jumps, then STLD could also see price increases.
| Ticker / NAME | Correlation To SCHM | 1D Price Change % | ||
|---|---|---|---|---|
| SCHM | 100% | +0.20% | ||
| STLD - SCHM | 55% Loosely correlated | -1.03% | ||
| PTC - SCHM | 54% Loosely correlated | +0.26% | ||
| DKNG - SCHM | 52% Loosely correlated | -0.23% | ||
| NTAP - SCHM | 42% Loosely correlated | +0.20% | ||
| WDC - SCHM | 41% Loosely correlated | +0.73% | ||
More | ||||