| ACWI | MOTG | ACWI / MOTG | |
| Gain YTD | 21.510 | 23.131 | 93% |
| Net Assets | 24.4B | 18M | 135,556% |
| Total Expense Ratio | 0.32 | 0.52 | 62% |
| Turnover | 4.00 | 78.00 | 5% |
| Yield | 1.43 | 4.55 | 32% |
| Fund Existence | 18 years | 7 years | - |
| ACWI | MOTG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 87% | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 67% | 2 days ago 65% |
| Momentum ODDS (%) | 2 days ago 87% | 2 days ago 82% |
| MACD ODDS (%) | 2 days ago 88% | 2 days ago 82% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 82% | 2 days ago 70% |
| Advances ODDS (%) | 2 days ago 84% | 9 days ago 76% |
| Declines ODDS (%) | 17 days ago 71% | 15 days ago 71% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 73% | 2 days ago 64% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FNY | 91.80 | 0.90 | +0.99% |
| First Trust Mid Cap Growth AlphaDEX® ETF | |||
| TQQY | 16.67 | 0.10 | +0.63% |
| GraniteShares YieldBOOST QQQ ETF | |||
| KCCA | 16.23 | 0.10 | +0.62% |
| KraneShares California Carbon Allw ETF | |||
| FPRO | 22.55 | 0.07 | +0.31% |
| Fidelity Real Estate Investment ETF | |||
| HYD | 50.86 | 0.05 | +0.10% |
| VanEck High Yield Muni ETF | |||
A.I.dvisor indicates that over the last year, ACWI has been loosely correlated with AAPL. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if ACWI jumps, then AAPL could also see price increases.
| Ticker / NAME | Correlation To ACWI | 1D Price Change % | ||
|---|---|---|---|---|
| ACWI | 100% | +0.38% | ||
| AAPL - ACWI | 57% Loosely correlated | -0.71% | ||
| AVGO - ACWI | 57% Loosely correlated | -0.25% | ||
| MSFT - ACWI | 57% Loosely correlated | -2.50% | ||
| AMZN - ACWI | 56% Loosely correlated | -0.87% | ||
| META - ACWI | 54% Loosely correlated | -1.16% | ||
More | ||||
A.I.dvisor indicates that over the last year, MOTG has been loosely correlated with GEHC. These tickers have moved in lockstep 64% of the time. This A.I.-generated data suggests there is some statistical probability that if MOTG jumps, then GEHC could also see price increases.
| Ticker / NAME | Correlation To MOTG | 1D Price Change % | ||
|---|---|---|---|---|
| MOTG | 100% | N/A | ||
| GEHC - MOTG | 64% Loosely correlated | +4.20% | ||
| RTO - MOTG | 46% Loosely correlated | +2.60% | ||
| AM - MOTG | 38% Loosely correlated | +1.86% | ||
| BAER - MOTG | 23% Poorly correlated | +10.84% | ||
| MO - MOTG | 12% Poorly correlated | -0.70% | ||
More | ||||