| FICS | IMTM | FICS / IMTM | |
| Gain YTD | 5.133 | 10.732 | 48% |
| Net Assets | 218M | 4.1B | 5% |
| Total Expense Ratio | 0.70 | 0.30 | 233% |
| Turnover | 51.00 | 109.00 | 47% |
| Yield | 1.83 | 2.21 | 83% |
| Fund Existence | 6 years | 11 years | - |
| FICS | IMTM | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 3 days ago 78% | 3 days ago 81% |
| Momentum ODDS (%) | 3 days ago 87% | 3 days ago 79% |
| MACD ODDS (%) | 3 days ago 73% | 3 days ago 70% |
| TrendWeek ODDS (%) | 3 days ago 80% | 3 days ago 80% |
| TrendMonth ODDS (%) | 3 days ago 76% | 3 days ago 80% |
| Advances ODDS (%) | 9 days ago 81% | 5 days ago 82% |
| Declines ODDS (%) | 12 days ago 80% | 3 days ago 76% |
| BollingerBands ODDS (%) | N/A | 3 days ago 86% |
| Aroon ODDS (%) | 3 days ago 84% | 3 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BFJL | 16.94 | 0.17 | +1.04% |
| FT Vest Bitcoin Strategy Floor15 ETF - July | |||
| JHMU | 26.33 | N/A | N/A |
| JHancock Dynamic Municipal Bond ETF | |||
| BSMQ | 23.53 | N/A | N/A |
| Invesco BulletShares 2026 Muncpl Bd ETF | |||
| FDIS | 102.73 | -0.66 | -0.64% |
| Fidelity MSCI Consumer Discret ETF | |||
| CGMM | 32.72 | -0.21 | -0.64% |
| Capital Group U.S. Small & Mid Cap ETF | |||
A.I.dvisor indicates that over the last year, FICS has been closely correlated with SLF. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if FICS jumps, then SLF could also see price increases.
| Ticker / NAME | Correlation To FICS | 1D Price Change % | ||
|---|---|---|---|---|
| FICS | 100% | N/A | ||
| SLF - FICS | 67% Closely correlated | +1.01% | ||
| BMO - FICS | 64% Loosely correlated | -1.94% | ||
| TD - FICS | 62% Loosely correlated | -2.41% | ||
| SAN - FICS | 59% Loosely correlated | +1.01% | ||
| SAP - FICS | 54% Loosely correlated | +2.16% | ||
More | ||||
A.I.dvisor indicates that over the last year, IMTM has been closely correlated with SAN. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if IMTM jumps, then SAN could also see price increases.
| Ticker / NAME | Correlation To IMTM | 1D Price Change % | ||
|---|---|---|---|---|
| IMTM | 100% | -0.02% | ||
| SAN - IMTM | 73% Closely correlated | +1.01% | ||
| STM - IMTM | 70% Closely correlated | -3.35% | ||
| BBVA - IMTM | 69% Closely correlated | +2.48% | ||
| BHP - IMTM | 67% Closely correlated | +1.35% | ||
| RIO - IMTM | 65% Loosely correlated | +1.15% | ||
More | ||||