| EGGY | SFLR | EGGY / SFLR | |
| Gain YTD | 28.156 | 6.968 | 404% |
| Net Assets | 168M | 2.18B | 8% |
| Total Expense Ratio | 0.92 | 0.89 | 103% |
| Turnover | 172.00 | 10.00 | 1,720% |
| Yield | 23.10 | 0.28 | 8,229% |
| Fund Existence | 2 years | 4 years | - |
| EGGY | SFLR | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 83% | 3 days ago 54% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 57% |
| Momentum ODDS (%) | 3 days ago 84% | 3 days ago 84% |
| MACD ODDS (%) | 3 days ago 87% | 3 days ago 78% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 87% |
| Advances ODDS (%) | 3 days ago 88% | 3 days ago 88% |
| Declines ODDS (%) | 10 days ago 84% | 11 days ago 64% |
| BollingerBands ODDS (%) | 3 days ago 86% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 75% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FRWD | 33.45 | 0.20 | +0.60% |
| Nomura Transformational Technologies ETF | |||
| CEV | 10.48 | 0.02 | +0.19% |
| Eaton Vance California Municipal Income Trust | |||
| ABLG | 31.79 | N/A | N/A |
| Abacus FCF International Leaders ETF | |||
| WINN | 34.12 | -0.17 | -0.48% |
| Harbor Long-Term Growers ETF | |||
| BPI | 20.24 | -0.16 | -0.77% |
| Grayscale Bitcoin Premium Income ETF | |||
A.I.dvisor indicates that over the last year, EGGY 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 EGGY jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To EGGY | 1D Price Change % | ||
|---|---|---|---|---|
| EGGY | 100% | +0.91% | ||
| TSM - EGGY | 68% Closely correlated | -0.96% | ||
| META - EGGY | 16% Poorly correlated | -0.86% | ||
| MSFT - EGGY | 8% Poorly correlated | -0.30% | ||
| NVDA - EGGY | 6% Poorly correlated | -0.06% | ||
| AMZN - EGGY | 5% Poorly correlated | -0.94% | ||
More | ||||
A.I.dvisor indicates that over the last year, SFLR has been loosely correlated with GS. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if SFLR jumps, then GS could also see price increases.
| Ticker / NAME | Correlation To SFLR | 1D Price Change % | ||
|---|---|---|---|---|
| SFLR | 100% | +0.31% | ||
| GS - SFLR | 63% Loosely correlated | -0.31% | ||
| MS - SFLR | 60% Loosely correlated | -0.47% | ||
| TEL - SFLR | 55% Loosely correlated | +0.69% | ||
| DAL - SFLR | 52% Loosely correlated | -2.15% | ||
| BEN - SFLR | 50% Loosely correlated | N/A | ||
More | ||||