| FCOM | FDCF | FCOM / FDCF | |
| Gain YTD | -5.465 | 0.463 | -1,180% |
| Net Assets | 1.71B | 104M | 1,639% |
| Total Expense Ratio | 0.08 | 0.50 | 17% |
| Turnover | 13.00 | 23.00 | 57% |
| Yield | 0.91 | 0.03 | 2,887% |
| Fund Existence | 13 years | 6 years | - |
| FCOM | FDCF | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 84% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 88% | 1 day ago 79% |
| Momentum ODDS (%) | 1 day ago 76% | 1 day ago 80% |
| MACD ODDS (%) | N/A | 1 day ago 63% |
| TrendWeek ODDS (%) | 1 day ago 80% | 1 day ago 79% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 83% |
| Advances ODDS (%) | 8 days ago 84% | 9 days ago 89% |
| Declines ODDS (%) | 16 days ago 79% | 1 day ago 76% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 71% |
| Aroon ODDS (%) | 1 day ago 89% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| FOREX / NAME | Price $ | Chg $ | Chg % |
| JPYAUD | 0.01 | 0.00 | +1.27% |
| Japan Yen - Australian Dollar | |||
| EURNZD | 2.01 | 0.01 | +0.41% |
| Euro - New Zealand Dollar | |||
| CHFJPY | 200.26 | 0.51 | +0.26% |
| Switzerland Franc - Japan Yen | |||
| AUDJPY | 110.18 | -2.82 | -2.50% |
| Australian Dollar - Japan Yen | |||
| RUBUSD | 0.01 | -0.00 | -9.62% |
| Russia Ruble - United States Dollar | |||
A.I.dvisor indicates that over the last year, FCOM has been closely correlated with META. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if FCOM jumps, then META could also see price increases.
| Ticker / NAME | Correlation To FCOM | 1D Price Change % | ||
|---|---|---|---|---|
| FCOM | 100% | +0.32% | ||
| META - FCOM | 74% Closely correlated | -0.29% | ||
| GOOG - FCOM | 69% Closely correlated | -0.77% | ||
| GOOGL - FCOM | 69% Closely correlated | -1.02% | ||
| ROKU - FCOM | 52% Loosely correlated | -0.11% | ||
| GTM - FCOM | 50% Loosely correlated | +2.45% | ||
More | ||||
A.I.dvisor indicates that over the last year, FDCF has been closely correlated with TSM. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if FDCF jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To FDCF | 1D Price Change % | ||
|---|---|---|---|---|
| FDCF | 100% | -1.74% | ||
| TSM - FDCF | 68% Closely correlated | -6.69% | ||
| NVDA - FDCF | 64% Loosely correlated | -4.13% | ||
| AMZN - FDCF | 61% Loosely correlated | +0.57% | ||
| ANET - FDCF | 58% Loosely correlated | -7.08% | ||
| META - FDCF | 57% Loosely correlated | -0.29% | ||
More | ||||