| FTEC | OGIG | FTEC / OGIG | |
| Gain YTD | 30.125 | -6.188 | -487% |
| Net Assets | 21.3B | 104M | 20,481% |
| Total Expense Ratio | 0.08 | 0.48 | 18% |
| Turnover | 9.00 | 37.00 | 24% |
| Yield | 0.35 | 0.08 | 463% |
| Fund Existence | 13 years | 8 years | - |
| FTEC | OGIG | |
|---|---|---|
| RSI ODDS (%) | N/A | 7 days ago 83% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| Momentum ODDS (%) | 3 days ago 88% | 3 days ago 86% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 76% |
| TrendWeek ODDS (%) | 3 days ago 88% | 3 days ago 85% |
| TrendMonth ODDS (%) | 3 days ago 89% | 3 days ago 85% |
| Advances ODDS (%) | 3 days ago 88% | 7 days ago 87% |
| Declines ODDS (%) | 6 days ago 83% | 5 days ago 84% |
| BollingerBands ODDS (%) | 3 days ago 84% | N/A |
| Aroon ODDS (%) | N/A | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CLNK | 22.64 | 2.06 | +10.02% |
| Bitwise Chainlink ETF Beneficial Interest (CLNK) | |||
| PFDE | 28.28 | 0.10 | +0.37% |
| Pathfinder Disciplined US Equity ETF (PFDE) | |||
| FTCA | 7.03 | -0.02 | -0.28% |
| Franklin California Municipal Income ETF (FTCA) | |||
| FLJP | 41.24 | -0.43 | -1.03% |
| Franklin FTSE Japan ETF (FLJP) | |||
| EOSU | 7.76 | -0.13 | -1.65% |
| T-REX 2X Long EOSE Daily Target ETF (EOSU) | |||
A.I.dvisor indicates that over the last year, FTEC has been closely correlated with ONTO. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTEC jumps, then ONTO could also see price increases.
| Ticker / NAME | Correlation To FTEC | 1D Price Change % | ||
|---|---|---|---|---|
| FTEC | 100% | +0.60% | ||
| ONTO - FTEC | 69% Closely correlated | +5.36% | ||
| MKSI - FTEC | 69% Closely correlated | +4.93% | ||
| VSH - FTEC | 66% Closely correlated | +2.07% | ||
| COHR - FTEC | 65% Loosely correlated | +7.22% | ||
| GLW - FTEC | 62% Loosely correlated | +1.58% | ||
More | ||||
A.I.dvisor indicates that over the last year, OGIG has been closely correlated with NOW. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if OGIG jumps, then NOW could also see price increases.
| Ticker / NAME | Correlation To OGIG | 1D Price Change % | ||
|---|---|---|---|---|
| OGIG | 100% | -1.28% | ||
| NOW - OGIG | 70% Closely correlated | -2.17% | ||
| IOT - OGIG | 66% Closely correlated | -1.13% | ||
| SNOW - OGIG | 63% Loosely correlated | -1.76% | ||
| SAP - OGIG | 63% Loosely correlated | -1.97% | ||
| CRM - OGIG | 63% Loosely correlated | -2.03% | ||
More | ||||