| AGMI | RING | AGMI / RING | |
| Gain YTD | 15.384 | 13.652 | 113% |
| Net Assets | 14.3M | 2.5B | 1% |
| Total Expense Ratio | 0.35 | 0.39 | 90% |
| Turnover | 124.00 | 23.00 | 539% |
| Yield | 3.65 | 1.05 | 349% |
| Fund Existence | 2 years | 15 years | - |
| AGMI | RING | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 77% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 86% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 83% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 75% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 75% | 2 days ago 86% |
| Advances ODDS (%) | 5 days ago 90% | 20 days ago 90% |
| Declines ODDS (%) | 7 days ago 81% | 2 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 84% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| ARCX | 11.80 | 0.56 | +4.94% |
| Tradr 2X Long ACHR Daily ETF (ARCX) | |||
| FRTY | 23.23 | 0.43 | +1.90% |
| Alger Mid Cap 40 ETF (FRTY) | |||
| AAPW | 41.88 | 0.29 | +0.69% |
| Roundhill AAPL WeeklyPay ETF (AAPW) | |||
| NFLT | 22.50 | -0.04 | -0.16% |
| Virtus Newfleet Multi-Sector Bond ETF (NFLT) | |||
| BSCT | 18.28 | -0.06 | -0.35% |
| Invesco BulletShares 2029 Corporate Bond ETF (BSCT) | |||
A.I.dvisor tells us that AGMI and FNV have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AGMI and FNV's prices will move in lockstep.
| Ticker / NAME | Correlation To AGMI | 1D Price Change % | ||
|---|---|---|---|---|
| AGMI | 100% | -0.78% | ||
| FNV - AGMI | 29% Poorly correlated | -1.60% | ||
| SSRM - AGMI | 29% Poorly correlated | +0.77% | ||
| CDE - AGMI | 8% Poorly correlated | -1.21% | ||
| WPM - AGMI | 8% Poorly correlated | -2.22% | ||
| PAAS - AGMI | 8% Poorly correlated | -2.48% | ||
More | ||||
A.I.dvisor indicates that over the last year, RING has been closely correlated with AU. These tickers have moved in lockstep 92% of the time. This A.I.-generated data suggests there is a high statistical probability that if RING jumps, then AU could also see price increases.
| Ticker / NAME | Correlation To RING | 1D Price Change % | ||
|---|---|---|---|---|
| RING | 100% | -1.22% | ||
| AU - RING | 92% Closely correlated | -1.32% | ||
| GFI - RING | 91% Closely correlated | -1.22% | ||
| OGC - RING | 88% Closely correlated | -1.72% | ||
| SSRM - RING | 86% Closely correlated | +0.77% | ||
| EMR - RING | 45% Loosely correlated | +1.20% | ||
More | ||||